Showing posts with label unnecessary brain scans. Show all posts
Showing posts with label unnecessary brain scans. Show all posts

Tuesday, December 31, 2024

The Science Journal "Nature" Regularly Publishes Very Low-Quality Neuroscience Research

 The year 2024 ends today, and we can ponder how neuroscientists have made no progress this year in trying to substantiate the main belief dogmas of their conformist belief community, such as the dogma that brains make minds and the dogma that brains store memories. A story yesterday at the LiveScience.com site was entitled "15 times the brain blew our minds in 2024." The article attempts to tell us about the biggest research advances in neuroscience in the year 2024. We get no mentions of any very impressive results that are examples of robust science shedding light on human brains. 

There is a mention of the research claiming to have found 3 copies of a memory, a claim that is debunked in my post here entitled "No, They Didn't Find in a Brain '3 Copies of Every Memory,' and They Never Even Found One."  The research study in question was a very bad example of Questionable Research Practices, such as using way-too-small study group sizes such as a group of only four mice. The LiveScience article also has an "Origin of Psychosis" section that incorrectly describes a brain scan study by saying, "Using artificial intelligence (AI) to analyze the scans, scientists found overlapping 'signatures' in the brains of people with psychosis." No, the actual study analyzed brain signatures of about 100 people with a rare genetic mutation that merely increases the risk of schizophrenia. Such a mutation occurs in one in 4000 people. Then the article has a teaser title of "Conscious Lab Grown Brains?" But we are assured this will not happen any time soon 

As a representative snapshot of the dismal state of neuroscience research, let's look at some research referred to today in an article on the RealClearScience.com site. We have a link to an article with the misleading headline "Why your sleeping brain replays new rewarding experiences." There is no actual evidence that memory recall occurs because of brain activity, and there is no evidence at all that in sleep people tend to have dreams of rewarding experiences. The article refers us to a study published in the journal Nature, a study that is an example of very low-quality neuroscience research.  

The study is entitled "Reward biases spontaneous neural reactivation during sleep," and had a very silly design. A small group of people (a starting group of only 18) played video games while having their brains scanned, and were then put in a fMRI brain scanner, and told to fall asleep. The idea was to study brain scans and look for signs that people were replaying during sleep rewarding moments during their video game experiences.  This idea was ludicrous. You cannot tell what people are thinking or remembering or dreaming by looking at brain scans. 

A starting group of 18 people were used, but some of these were disqualified because they did not fall asleep or did not win in the game. The remaining group was a study group size of only 13 people. A study group size of only 13 people is way too small for a reliable result in a correlation-seeking study like this. The paper "Prevalence of Mixed-methods Sampling Designs in Social Science Research" has a Table 2 giving recommendations for minimum study group sizes for different types of research. According to the paper, the minimum number of subjects for an experimental study are 21 subjects per study group. The same table lists 61 subjects per study group as a minimum for a "correlational" study. 

In her post “Why Most Published Neuroscience Findings Are False,” Kelly Zalocusky PhD calculates that the median effect size of neuroscience studies is about .51. She then states the following, talking about statistical power (something that needs to be .5 or greater to be moderately convincing): 

"To get a power of 0.2, with an effect size of 0.51, the sample size needs to be 12 per group. This fits well with my intuition of sample sizes in (behavioral) neuroscience, and might actually be a little generous. To bump our power up to 0.5, we would need an n of 31 per group. A power of 0.8 would require 60 per group."

If we describe a power of .5 as being moderately convincing, it therefore seems that 31 subjects per study group is needed for an experimental neuroscience study to be moderately convincing. But most experimental neuroscience studies use fewer than 15 subjects per study group. And the study "Reward biases spontaneous neural reactivation during sleep" has used a way-too-small study group size of only 13. The authors would have discovered their inadequate sample sizes if they had done a sample size calculation, but they did not do such a thing (or at least they do not mention doing such a thing). 

What went on is that the authors analyzed brain scans, looking for something they could claim is some faint trace of a memory replay or dream replay of some reward experienced during a video game.  It was an affair of comparing brain scans during sleep, looking for some similarity somewhere between brain scans taken when someone had a video game reward. Since no blinding protocol was used, no pre-registration was used, and no control subjects were used, any claims to have found evidence of such a thing are worthless, particularly given the tiny study group size. It's just fishing-expedition see-what-you're-hoping-to-find pareidolia. The authors were free to slice and dice data in any way they wanted, until they found something they could claim  as some support for their hypothesis, using any of endless possible analysis pathways.  Similarly, a person eagerly scanning thousands of photos of clouds hoping to find some animal shape can report a few successes here or there. Nowadays people doing these kind of noise-mining fishing-expeditions are aided by correlation-seeking software that has a great ability to analyze data in a thousand-and-one different ways, and find false alarm correlations that are not caused by any  causal relation. So it's ever-easier to do "keep torturing the data until it confesses" like the hypothetical duo below:


A sensible way to proceed in such a study would be to wake subjects up, and ask them if they had any dream that was anything like some dream of a reward. Nothing like that was done. The subjects were not asked what dreams they had. Of course, because if they had been asked that they would not have said anything about having dreams related to their video game experiences. 

I have been recording my dreams every night for almost four years, and you can read about such dreams in my very long post here. It is not true that people tend to have dreams of rewarding experiences they have had, and it is not true that people tend to have dreams of rewarding experiences they had in video games.  For nearly four years I have played video games for about an hour every night, just before sleeping; and during these same four years I have recorded my dreams throughout the night, as soon as I awoke and remembered a dream (I awake quite a few times each night).  I have had very many rewarding experiences during such video game playing (such as regularly advancing to new levels and overcoming hard challenges). But I have never noticed any tendency whatsoever for my dreams to be about video game experiences. And I notice no tendency at all for my dreams to be about rewarding experiences I have had. I can never recall ever having any dream that seemed to be inspired by what I had experienced in a video game. 

We should note well the needless potential risk to subjects occurring for the sake of this very-low-quality study. We are told subjects had their brains scanned for 40 minutes while playing video games, and had their brains scanned for an average of nearly two hours while they were sleeping: "The sleep session lasted between 51 min and 2 h 40 min (mean: 1 h 43 min)."   We are told "The two runs of the game session comprised 615 scans and 603 scans, respectively, and the run of sleep session, for the data used in the analyses reported in the main text, comprised on average 2789 scans (between 1459 and 3589 scans)." An average brain scan for medical purposes requires not many minutes of scanning. and according to the page here, the default is only 32 scans: "the default of 32 slices will cover most of the brain in most subjects."  Here we have hours of medically unnecessary brain scanning that may have subjected the subjects to needless risks, the type of risks discussed in my post here, entitled "Poorly Designed Brain Scan Experiments Needlessly Put the Needy at Risk." There is also an additional potential for trauma when someone wakes up in a brain scanner. The subjects may have been subjected to substantial risk, only for the sake of a study so poorly designed that it fails to produce robust evidence to back up its claims. The scanning was done with 3T scanners twice as intense as the 1.5T brain scanners that have been used for most medical brain scanning. Some neuroscientists are starting to use 7T brain scanners, despite the lack of adequate data on the long-term safety of scanning at such an intensity. 

According to the paper here ("The effects of repeated brain MRI on
chromosomal damage") which 
judged genetic damage from 3T MRI scans, "While we do not report any change after a single MRI session, repeated exposure was associated with an increase in the frequency of chromosomal deletions." The paper "Genotoxic effects of 3 T magnetic resonance imaging in cultured human lymphocytes" found that chromosomal aberrations (CA) increased in proportion to the length of time someone had a 3T MRI scan. It says, "the frequencies of CAs in lymphocytes exposed for 0, 45, 67, and 89 min were 1.33, 2.33, 3.67, and 4.67 per 200 cells, respectively." Such chromosomal deletions and aberrations probably increase cancer risk, or the risk of equally devastating problems.

In this study the brain scans seemed to have been completely unnecessary. You could have much better tested the hypothesis that recent reward memories are replayed during sleep by using a decent study group size of 30 subjects, having them play reward-producing video games late at night, and then having the subjects sleep in the lab, with no brain scanning ever done. You could have woken up the subjects at different intervals in the night, and asked them about their dreams, to judge whether they were having dreams that were like their video game experiences or rewards of such games. How many neuroscientists are like the guy imagined below?

brain scan mania
                   It seems like scan-o-mania

The journal Nature has published this very low-quality study. The same journal regularly publishes neuroscience research of very low  quality. It is a huge mistake to think that neuroscience research is strong because it is published in journals such as Nature and Cell. These journals have for many years published many examples of neuroscience research of very low quality. 

If you doubt that neuroscientists are sometimes guilty of "scan-o-mania," read here for a discussion of how subjects were scanned unnecessarily for 38 hours each in a 7T scanner (described as "ultra-high magnetic strength") to create an unnecessary database (of very dubious usefulness) tracking nothing other than how brains look when people were looking at different natural scenes. 

Saturday, March 11, 2023

Misleading Tricks of the Latest Claim of Mind-Reading by Brain Scans

In a previous post entitled "Suspect Shenanigans When You Hear Claims of 'Mind Reading' Technology" I discussed some of the tricks used by people claiming that brain scans can reveal mind activity. I discussed one example. It was the case of a researcher who had used some incredibly elaborate analysis pipeline that included brain scans to create movies. I pointed out that brain scans were only one element in the extremely elaborate set of inputs, and that it was misleading to claim that the output movies were generated from brain scans. I stated this:

"This bizarre and very complicated rigmarole is some very elaborate scheme in which brain activity is only one of the inputs, and the main inputs are lots of footage from Youtube videos.  It is very misleading to identify the videos as 'clips reconstructed from brain activity,' as the clips are mainly constructed from data other than brain activity. No actual evidence has been produced that someone detected anything like 'movies in the brain.' It seems like merely smoke and mirrors under which some output from a variety of sources (produced by a ridiculously complicated process) is being passed off as something like 'movies in the brain.' "

Recently we had another case of the press fooling us with untrue claims about mind-reading brain scans.  The Daily Mail gave us this bogus headline: "Scientists can now read your MIND: AI turns people's thoughts into images with 80% accuracy." Vice.com gave us this equally untrue headline: "Researchers Use AI to Generate Images Based on People's Brain." Upon analyzing the scientific paper that inspired these stories, I was able to figure out how the misleading "sleight of hand" is being done. It's a "fool you" mashup methodology. 

The paper is the one you can here. It has the very misleading title "High-resolution image reconstruction with latent diffusion models from human brain activity." What is going on is that the researchers used an analysis methodology in which the actual brain scans are a superfluous input. They got AI outputs using a technique in which there was no need at all to use brain scans.  The paper title is misleading because it implies that such brain scans were a crucial input, when such brain scans were an unnecessary input. 

Below is an explanation of how it worked:

(1) There is a Natural Scenes Dataset that was created by some morally dubious excessive-seeming fMRI scanning in which subjects were brain-scanned with high-intensity 7T scanners for about 40 hours each while looking at natural scenes (a medically unnecessary risk to these subjects). That dataset is described in the paper here, entitled "A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence."

That dataset was created using images from the Microsoft Common Objects in Context (COCO) image dataset. The authors of the previously mentioned paper mentioned above say, "We obtained 73,000 color natural scenes from the richly annotated Microsoft Common Objects in Context (COCO) image dataset." These authors then brain-scanned people while they were looking at these images, using 7T fMRI scanners. 

(2) The authors of the new paper ("High-resolution image reconstruction with latent diffusion models from human brain activity") traced back the images of the Natural Scenes Dataset to their COCO source, as they admit by saying, "The images used in the NSD experiments were retrieved from MS COCO and cropped to 425 x 425 (if needed)." This COCO database includes text annotations for each image, which is one or more words identifying each image. The authors of the new paper ("High-resolution image reconstruction with latent diffusion models from human brain activity") clearly indicate that they grabbed these text annotations from the COCO database. They say they used an "average of five text annotations associated to each MS COCO image." 

(3) Having a text phrase associated with each image they used from the Natural Scenes Dataset, a phrase identifying what each image was, the authors used such text phrases as inputs to the Stable Diffusion generative AI, which can generate multiple images from text phrases.  In case you have not tried the Stable Diffusion AI, which you can try using this link,  it works like the example below. I typed in "spooky snowy castle" as the prompt, and the AI generated four images of spooky snowy castles:


(4) Some additional use was made of the actual brain scans from the Natural Scenes Dataset, but that was not necessary, and was probably just a little "icing on the cake," apparently as a way for the authors to kind of "cover their tracks" by some convoluted rigmarole making it harder for people to track down the main way their images were generated. 

(5) The authors then incorrectly claimed that they had done "image reconstruction ... from human brain activity." In fact, the human brain activity was a superfluous (unnecessary) input that was not a necessary part of the process. The method used to get the Stable Diffusion output images would have worked just fine without any brain scan data at all. All you need to get good Stable Diffusion output images of some particular type is a text prompt. And the researchers had got the appropriate text prompts by matching the images of the Natural Scenes Dataset with the source of the images (the MS COCO dataset), which has text phrases describing each of the images.  

This is a "smoke and mirrors" sleazy trick that you should not be fooled by. The authors incorrectly claimed that they had done "image reconstruction with latent diffusion models from human brain activity," when the human brain activity was not an essential input. The technique used here has no dependency on any brain scan data. The authors claim that they have shown you can "reconstruct high-resolution images with high semantic fidelity from human brain activity." This claim is untrue. Using only the brain activity data, the authors would be unable to create any images corresponding to what the subjects had seen when such brain scans were made. 

There were two cheats here: (1) using text annotations (descriptions of the images the brain scanned subjects saw), descriptive phrases which the brain-scanned subjects never heard or saw; (2) use of an image generating AI using these text phrases as inputs rather than inputs of the brain scans. The authors have not reconstructed what the subjects saw from their brain scans. The authors have used a sneaky data backdoor to get something they never could have got from such brain scans alone. A legitimate attempt to reconstruct what people saw from brain scans would have used only the brain scans, and would never have succeeded. You cannot identify or reconstruct from brain scans what people saw or thought while their brains were being scanned.  

What is going on here is something rather like the conversation below: 

Jack: Did you know I can tell which restaurant you went to from a list of the items you ordered?
Jill:  Really? Let's try.
Jack: Okay, just give me a receipt you got from some dinner you ordered.
Jill: Okay, here's my receipt from last night. 
Jack: Okay, let me see, you ordered a large pizza and 2 medium Pepsi drinks. Using my astonishing algorithm, I deduce that you went to Santino's Pizza Palace on 34th Street.
Jill: Wow, that's amazing -- you figured out where I ate from what I ordered!

Of course, Jack has done no such thing. Jack is cheating. He simply read the name of the restaurant from the bottom of the receipt. 

As long as I am mentioning the Natural Scenes Dataset, let me mention a very troubling fact about that dataset: that it was created by what seems like a recklessly excessive scanning of 8 subjects.  paper entitled "A massive 7T fMRI dataset to bridge
3 cognitive neuroscience and artificial intelligence" discusses some data collection used to create this dataset: a process in which eight subjects were brain scanned 30 to 40 times with 7T scanners twice as powerful as the 3T scanners or 1.5T scanners normally used for MRI scans.  The paper states this: 

"The total number of 7T fMRI scan sessions were 43, 43, 35, 33, 43, 35, 43, and 33 for subj01–subj08, respectively. The average number of hours of resting-state fMRI conducted for each subject was 2.0 hours, and the average number of hours of task-based fMRI conducted for each subject was 38.5 hours."

This was in addition to other 3T scans the subjects were given.  The paper makes no mention of any consideration of health risks to these people, who received $30 per hour for the medically unnecessary scans. A 7T scanner would presumably have more than twice the risks of the 3T scanners.  Referring to mere 3T MRI scans, the 2022 paper "The effects of repeated brain MRI on chromosomal damage" found that "The total number of damaged cells increased by 3.2% (95% CI 1.5–4.8%) per MRI." The paper was referring to "DNA breaks" that have a possibility of increasing cancer risks. There is no medical need for anyone to receive more than one or a few MRI scans. Scanning subjects for 40 hours with 7T scanners seems rather like playing Russian roulette with the health of subjects, who might one day get cancer or dementia from such excessive scanning. It is dismaying that people were lured into undergoing such risks for "chump change" payments such as $30 per hour. 

year 2024 study ("Evaluation of the Biological Effects of Exposures to Magnetic Resonance Imaging on Single-Strand DNA: An In-vivo Study") found similar results, finding that MRI scanners only half as powerful as 3T scanners can produce genotoxic effects.  It reported this:

"The DNA single-strand breaks were significant for all tested parameters in both MRI 1.5 T (p<0.01) and 3.0 T (p<0.001)....The percentage of cells destroyed in the group exposed to 3.0 T MRI was increased to 12.65 ± 1.0 after 10 minutes of exposure."

As shown in its Table 1, the study found that with a 3.0T MRI scanner, the longer you scan, the more DNA damage is done. The reported damage after 40 minutes of 3.0T MRI scanning is given a numerical value of 57, which is nearly twice as high as the damage done after only 10 minutes of scanning (damage given a numerical rating of 32). A similar relation is reported in Table 4, using a different measure of damage.  Using that measure, 10 minutes of 3.0T MRI produces DNA damage given a numerical value of 12.66, but 40  minutes of 3.0T MRI produces almost twice-as-bad DNA damage given a numerical value of 22.38.  Any DNA damage tends to increase cancer risk. 

All future claims to be generating images from brain scans should be regarded with the greatest suspicion whenever such claims made any use of the Natural Images Dataset. I have explained above how there is a tricky "backdoor" method by which anyone can generate images from that dataset very similar to the images that the poor over-scanned subjects saw when the brain scans of that database were made. 

We can expect to see in the future some additional studies using sleazy tricks such as the one described here. There will be more and more confusing methodology papers that use complicated technological mashups that leverage AI and data backdoors.  Don't be fooled by such shenanigans. It is never possible to figure out what someone thought or saw from merely looking at brain scans, and any new paper suggesting otherwise will almost certainly be using complicated trickery designed to hide its sneaky sleight-of-hand. 

Postscript: Above I stated, "You cannot identify or reconstruct from brain scans what people saw or thought while their brains were being scanned." This statement is not at all discredited by papers such as the mistitled paper "The Code for Facial Identity in the Primate Brain." That paper does not meet good standards of experimental neuroscience. The paper is not a pre-registered paper that committed itself to one exact method of analysis before data was analyzed. The paper is one of those papers in which you get the suspicion that the authors were playing around with countless types of statistical analysis before ending up with what they reported. The analysis pipeline they report is some hopelessly convoluted and arbitrary rigmarole that fails to provide any convincing evidence for any such thing as a code for representing faces in brains. The statistics involved are so convoluted a can of worms (or perhaps we should say  "vat of worms") that it smells like irreproducible results.  I may note three fundamental failures:

(1) The lack of pre-registration, leaving the authors free to "keep torturing the data until it confessed."
(2) The lack of any blinding protocol, a necessity for a paper like this to be taken seriously.
(3) The use of only two monkey subjects (in a correlation study such as this, 15 subjects would be the minimum for a slightly impressive result). 

At the NBC News web site, we have a story entitled "From brain waves, this AI can sketch what you're picturing." The title gives the incorrect idea that scientists were trying to reconstruct what people were imagining (a common deceit of stories like this), although the actual study only involved what people were seeing while their brains were scanned. The story claims, "The resulting generated image matched the attributes (color, shape, etc.) and semantic meaning of the original image roughly 84% of the time." That's not a claim made by the scientific paper, which reports accuracy of only about 21%. in its "Results on Different Subjects" section. The study used annotations in the COCO database (text descriptions of the images), so it apparently used the same kind of data backdoor trick described above. Again, we are given the misleading impression that images are being reconstructed (or the content of images guessed) based solely on brain scans, when no such thing is happening. Instead the content of what someone saw is being guessed based on brain scans and lots of other data other than just the brain scans.  

Misrepresentations of what went on in studies of this type are extremely common in the press. We may be told that such and such a study identified what people were thinking or picturing when the study merely involved people whose brains were scanned when they were seeing something or speaking words. 

The latest in misleading poor-quality science papers trying to insinuate mind-reading by brain scans is the paper "Semantic reconstruction of continuous language from non-invasive brain recordings." A few subjects were brain-scanned for 16 hours, and attempts were made to predict what they had heard, using both brain scans and "a generative neural network language model that was trained on a large dataset of natural English word sequences" in order to get some ability to predict the words that would follow from a sequence of previous words. We read, "Given any word sequence, this language model predicts the words that could come next." The meager results produced had a statistical significance of only "p < .05," which is very unimpressive. That's the kind of result you would expect to get by chance in one out of 20 tries. Again, we have a misleading formula of  getting output using "brains scans plus some other huge thing" with the small claimed success coming mostly from the other huge thing, not the brain scans. No actual evidence has been provided that you can reconstruct what people were thinking or hearing from brain scans alone. For the sake of this piece of misleading parlor-trick junk science, some subjects had their brains scanned for 16 hours, a medically unnecessary risk to them which may have increased their chance of getting cancer or dementia. 

Ever-eager to produce misleading but interesting-sounding click-bait stories that help increase page views and advertising revenue, the press has jumped on this story, producing some very misleading stories that do not accurately describe the research,  and fail to tell us that the results mainly do not come from analysis of brain scans, but from some high-tech AI trained to anticipate the most likely words that would follow from some text. 

Sunday, October 23, 2022

Poorly Designed Brain Scan Experiments Needlessly Put the Needy at Risk

Neuroscientists commonly do brain scan studies that use small study group sizes of fewer than 20 subjects per study group. Not long ago a press release from the University of Minnesota Twin Cities announced results which indicate that such small-sample correlation-seeking brain imaging experiments are utterly unreliable.  The headline of the press release is "Brain studies show thousands of participants are needed for accurate results."

In the announcement we read this:

"Scientists rely on brain-wide association studies to measure brain structure and function—using MRI brain scans—and link them to complex characteristics such as personality, behavior, cognition, neurological conditions and mental illness. New research published March 16, 2022 in Nature from the University of Minnesota and Washington University School of Medicine in St. Louis...shows that most published brain-wide association studies are performed with too few participants to yield reliable findings."

The abstract of the paper in the science journal Nature can be read here. The paper is entitled, "Reproducible brain-wide association studies require thousands of individuals." 

The press release tells us this:

"The study used publicly available data sets—involving a total of nearly 50,000 participants—to analyze a range of sample sizes and found:

  • Brain-wide association studies need thousands of individuals to achieve higher reproducibility. Typical brain-wide association studies enroll just a few dozen people.
  • So-called 'underpowered' studies are susceptible to uncovering strong but misleading associations by chance while missing real but weaker associations. 
  • Routinely underpowered brain-wide association studies result in a surplus of strong yet irreproducible findings."
The paper was released in March, 2022, but there is so far no sign that universities and neuroscientists are paying much attention to its very important findings. Universities continue to release shoddy press releases making dubious claims about the results of low-quality neuroscience experiments that use MRI scanning, poorly designed experiments that use fewer than 15 subjects per study group. A recent example is a Carnegie Mellon University press release trying to insinuate that neuroscientists have found something about "how abstract concepts are represented in the brain." No such thing has happened, because the study was yet another brain scan study using way too small study group sizes. 

A look at the paper reveals that the study group sizes were only 10 subjects per study group.  Failing to follow any blinding protocol, failing to do any sample size calculation, and failing to report any effect size, the study offers no robust evidence for anything. For the sake of this poorly designed study, twenty subjects (10 in each study group) had their brains scanned for 1 hour with a 3T scanner that may have health risks that I discuss below. Besides wasting federal funds, such studies may actually be putting subjects at risk by exposing them to long unnecessary brain scans that may have negative health effects, particularly decades down the road. 

Another poorly designed brain scan study is a study announced with the press release below. The red circling shows one of countless examples I can give of how university press releases shamelessly hype, distort and exaggerate (a far-fetched speculation that brains might possibly use quantum computation is announced as simply a finding that brains do use quantum computation):

hype in university press release

The study in question needlessly subjected 40 subjects to brain scanning with a 3T scanner (possibly dangerous for reasons discussed below). It seems nothing worthwhile was accomplished in the way of good experimental science because of the poor design of the study. It was not a pre-registered study; the study did not follow any blinding protocol; and there was no sample size calculation to determine whether the study group sizes used were adequate.  Failing to meet any of the main hallmarks of a good experimental study, the study fails to report any effect size, fails to report any  statistical significance, and mentions study group sizes way too small, including one group of only seven subjects and another group of only five subjects. The study refers to "1000 scans," causing me to worry about how much radiation these subjects were needlessly subjected to for a study so poorly designed.  

An example of a poorly designed study which may have needlessly put many at risk was the study "Human cerebellum and corticocerebellar connections involved in emotional memory enhancement." Unlike the vast majority of neuroscience experiments, this study used a large sample size, and consisted of 1418 people who were brain-scanned. Unfortunately, the results are pretty worthless, because of a failure of the scientists to follow best practices. The paper makes no mention of a blinding protocol, an essential for a paper like this to be taken seriously.  The study was not a pre-registered study. There was no declaration before gathering of a specific hypothesis to be tested, and a protocol of how data would be gathered and analyzed.  So the scientists were free to keep slicing and dicing the data until they squeezed out a little "statistical significance" from some nook or cranny. The authors failed to report any specific percent signal change produced during memory activity. They fail to report results of any impressive statistical significance. Their best result is a mere "p < 0.05," which is scarcely worth even reporting. Many (such as the seventy experts who authored this paper) think that the criteria for statistical significance should be tightened, so that nothing should be reported as being statistically significant unless it has p < 0.005. 

The subjects undergoing a half hour of brain scanning were paid a mere 25 Swiss Francs per hour that they were scanned, a trifling sum to be paid for being exposed to a significant risk.  The subjects were brain scanned for 30 minutes (a medical MRI scan takes maybe 15  minutes). The more dangerous type of 3T scanner was used, a scanner type that has the possible health risks described below. 

We can imagine the people who showed up for such a poor payment, amounting effectively to maybe $5 or $10 an hour (when you take into account transportation time, the time needed to exclude subjects facing higher risks by scanning, the training time required before scanning, and the time waiting for an MRI scanner to become ready). In general only the financially neediest people would have been induced by such a paltry payment.  Similarly, the poorly designed GABA study described in this post subjected children to unnecessary brain scans by a powerful 3T scanner, and paid them a mere 25 pounds (nowadays worth about 28 dollars).  What parent would allow such a thing for so a small a sum? Perhaps only one so needy as to have trouble feeding his child adequately. 

It is a dogma among neuroscientists that MRI scans are safe. But we should remember that neuroscientists are very dogmatic creatures who often repeat claims that are dubious and unproven (as you can tell by reading the posts on this blog).  Do we really know that MRI scans are free of any risk?

One danger of MRI scans is well-known: the risk of the very strong magnets used by such machines causing some metal object to be hurled at a high speed, causing injury or death.  In 2001 a six-year-old boy was killed in the US during an MRI scan, when the machine turned an oxygen canister into a flying projectile.  There is always a risk of lingering psychological trauma when certain people are put in some noisy high-tech machine and told they must be silent and not move for a long time such as an hour. There is also the risk that the more powerful MRI scans may raise the risk of cancer in the person getting the scan. 

In the wikipedia.org article for Functional Magnetic Resonance Imaging, we read the troubling passage below:

"Genotoxic (i.e., potentially carcinogenic) effects of MRI scanning have been demonstrated in vivo and in vitro, leading a recent review to recommend 'a need for further studies and prudent use in order to avoid unnecessary examinations, according to the precautionary principle'. In a comparison of genotoxic effects of MRI compared with those of CT scans, Knuuti et al. reported that even though the DNA damage detected after MRI was at a level comparable to that produced by scans using ionizing radiation (low-dose coronary CT angiography, nuclear imaging, and X-ray angiography), differences in the mechanism by which this damage takes place suggests that the cancer risk of MRI, if any, is unknown."

The 2009 study here ("Genotoxic effects of 3 T 
magnetic resonance imaging in cultured human lymphocytes")
cautions about the use of a high-intensity
("3T and above") MRI, and states that 
"potential health risks are implied in the MRI and especially
HF MRI environment due to high-static
magnetic fields, fast gradient magnetic fields, and strong 
radiofrequency electromagnetic fields," also noting that 
"these results suggest that exposure to 3 T MRI induces
 genotoxic effects in human  lymphocytes," referring to effects
 that may cause cancer. 

According to the paper here ("The effects of repeated brain MRI on
chromosomal damage") which 
judged genetic damage from 3T MRI scans, "While we do not report any change after a single MRI session, repeated exposure was associated with an increase in the frequency of chromosomal deletions." The paper "Genotoxic effects of 3 T magnetic resonance imaging in cultured human lymphocytes" found that chromosomal aberrations (CA) increased in proportion to the length of time someone had a 3T MRI scan. It says, "the frequencies of CAs in lymphocytes exposed for 0, 45, 67, and 89 min were 1.33, 2.33, 3.67, and 4.67 per 200 cells, respectively.Such chromosomal deletions and aberrations probably increase cancer risk, or the risk of equally devastating problems..  Some neuroscience experiments these days are subjected to hours of 3T MRI scanning, as many as three hours or even 16 hours.  

paper tells us the following about the newer twice-as-powerful
3T MRI machines that have been replacing the older 1.5T MRI
machines, suggesting their magnetic fields are much stronger than
the strength needed to lift a car:

"The main magnetic field of a 3T system is 60,000 times
 the earth's magnet field. The strength of electromagnets
 used to pick up cars in junk yards is about the field strength 
of MRI systems with field strengths from 1.5-2.0T.
 It is strong enough to pull fork-lift tires off of machinery,
 pull heavy-duty floor buffers and mop buckets into
 the bore of the magnet, pull stretchers across the room
 and turn oxygen bottles into flying projectiles reaching
 speeds in excess of 40 miles per hour."   

A 2021 paper on MRI safety makes the not-very-reassuring claim that "no conclusive proof of harmful biological effects has been found to be caused by the static magnetic field up to 7T."  This sounds like what cigarette manufacturers told us for years between 1950 and 1970, that there was no conclusive proof that cigarettes cause cancer (now such conclusive proof exists).  When there is no evidence at all that something is harmful, a person will say something like "there is not a shred of evidence that it is harmful." When there exists some evidence suggesting a danger, a person may claim that there is "no conclusive proof" of harm. 

brain scan risks
Needlessly putting the needy at risk, usually for the sake of junk science

Will some of these subjects who participated in the usual poorly-designed brain scan studies end up with cancer decades from now because they were subjected to 30 to 60 minutes of unneeded 3T MRI scanning which "induces genotoxic effects" according to the previously cited paper?  We'll probably never know, because neuroscientists don't seem to keep track of the long-term health results of the people they have brain-scanned in their experiments. It's kind of a policy of "scan 'em and forget 'em." Our neuroscientists are fond of saying there is "no proof" that MRI imaging can be harmful, but that's because they are not doing the long-term patient health followup tracking to determine whether MRI imaging produces a greater risk of cancer over 30 years or 40 years. 

Don't put me down as being anti-MRI (I've had an MRI myself, after being advised by a doctor to do so).  In countless medical treatment cases, the benefits of an MRI scan are greater than the small risks. But people should not be put at risk by getting unnecessary brain scans solely for the sake of poorly designed studies that fail to prove anything because they followed Questionable Research Practices. 

I am not at all suggesting anyone should avoid an MRI scan when a doctor recommends such a thing as medically advisable. But it is rather clear that in their zeal to load up their resumes with more and more brain scanning studies, our neuroscientists are rounding up too many paid subjects for unnecessary and potentially harmful brain scans.  What is really tragic is that such a large fraction of experimental brain scan studies follow Questionable Research Practices so badly that they qualify as "junk science studies" failing to provide any robust evidence for anything important.  It seems that very often human research subjects may be needlessly put at increased risk of cancer and other health dangers by being brain-scanned in scanners such as 3T MRIs, merely so that neuroscientists can round up more subjects for badly designed studies that do nothing to advance science because they fall very short of meeting the standards of good experimental science.   

When neuroscientists say brain scans are safe, they are referring to how much health trouble is now observed in people whose brains are scanned. No one has done some 25-year longitudinal study on the topic of whether people whose brains were scanned with 3T MRIs have a higher chance of  cancer 25 or 30 years in the future.  3T MRIs were only approved by the FDA in the year 2000.

A scientific paper states this, referring to 3T MRIs:

"An insufficient number of validated studies have been carried out to demonstrate the safety of high strength static magnetic field exposure (Shellock, 2009). While MRI has been used for many years in the clinic, at higher Tesla levels (over 3 Tesla) the technology is relatively novel. Even less information about potential negative health effects exists for specific populations such as pregnant women and children." 

The 2022 paper here discusses a large range of health concerns involving MRI scanners, such as these:

"The strong static magnetic field (B0) of MRI scanners can attract and accelerate ferromagnetic objects toward the center of the machine and turn them into dangerous projectiles...The radiofrequency (RF) field that is created by RF-coils can potentially cause tissue heating, especially in the presence of implants....The Time-varying fast-switching gradient magnetic field function is a spatial encoding of the MRI signal and can stimulate muscles or peripheral nerves and induce implant heating. They also produce noise in the MRI scanner space, which can reach levels of 100 dB or more and damage the hearing system."

If I were an ethical advisor asked to approve proposals for brain experiments, I would have the following rules:
  • I would never approve the use of human brain scanning for any experimental study that used fewer than 25 subjects for any of its study groups, because such studies are way too likely to produce false alarms.  I would never approve the use of any brain scanning experiment that did not include a sample size calculation to determine an adequate sample size that was used as a minimum for each study group. 
  • I would never approve the use of human brain scanning for any experimental study that had not published publicly a detailed research plan, including a precise hypothesis to be tested, along with a very exact and detailed description of how data would be gathered and analyzed. We should not be putting people at risk for studies that do not follow best practices. 
  • I would never approve the use of human brain scanning for any experimental study that had not published publicly a detailed blinding protocol to be followed, discussing exactly how blinding techniques would be used to reduce the risk of experimenter bias in which the experimenter "sees what he wants to see." We should not be putting people at risk for studies that do not follow best practices. 
  • I would insist that any consent form signed by a subject to be brain scanned would include a detailed discussion of the reasons why brain scanning might be potentially hazardous, with negative effects appearing far in the future, along with a fair discussion of the scientific literature suggesting such hazards. Currently a large fraction of such consent forms fail to frankly discuss such risk. 
  •  I would never approve the use of any brain scanning on children in an experiment that did not absolutely require the participation of children. 
I strongly advise all parents never to let their children participate in any brain scanning experimental study unless a doctor has told them that the brain scan is medically advisable solely for the health of the child.  I advise adults not to participate in any brain scanning experimental study unless they have read something that gives them warrant for believing that the experimenters are following best experimental practices, and that there will be not be a very high chance that the adults will be undergoing unnecessary health risks for the sake of some "bad practices" poorly designed "fishing expedition" experiment that does not advance human understanding.  If a neuroscientist looking for research subjects tells you that brain scans are perfectly safe, remember that many neuroscientists often dogmatically make claims that are unproven or doubtful, and often pretend to know things they do not actually know (see this site for very many examples). 

I also strongly advise anyone who participated in any brain scanning experiment to permanently keep very careful records of their participation, to find out and write down the name of the scientific paper corresponding to the study, to write down and keep the names of any scientists or helpers they were involved with, to permanently keep a copy of any forms they signed, and to keep a careful log of any health problems they have. Such information may be useful should such a person decide to file a lawsuit. 

When we examine the history of MRI scans, we see a history of overconfidence, and authorities dogmatically asserting that "MRI scans are perfectly safe," when they did not actually know whether they were perfectly safe.  Not many years ago there arose the great "contrast agent" scandal.  Scientists began to learn that what are called "contrast agent" MRI scans (given to 30 million people annually) may not be so safe. In such "contrast agent" scans, a subject is given an injection that increases the visual contrast of the MRI scan.  For a long time, the main substance in such an injection was gadolinium.  A mainstream cancer web site states, "Tissue and autopsy reports have also confirmed that gadolinium can accumulate in the brain and other organs." The results can be a health disaster, as described here. A 2019 Science Daily story says, "New contrast agent could make MRIs safer," letting us know that many of them previously were not so safe. On the same Science Daily web site, we read a 2017 news story with the title "MRI contrast agents accumulate in the brain."  A 2020 paper ("Side Effect of Gadolinium MRI Contrast Agents") says this:

"Until recently, it was believed that gadolinium is effectively cleared within 24 hours after intravenous injection, and that it does not have any harmful effects on the human body. However, recent studies on animals and analyses of clinical data have indicated that gadolinium is retained in the body for many years post-administration, and may cause various diseases."

Neuroscientists extensively used such contrast agents (as described here), very often putting human subjects at risk for the sake of junk poorly designed studies falling far short of the best experimental practices. All the while,  many of our experts were making the untrue claim that "MRI scans are perfectly safe," a statement which was not clearly  true for the large fraction of MRI studies that used gadolinium contrast agents. You can do a Google search for "gadolinium deposition" to learn more about this issue. 

A while ago there was published a scientific paper entitled "The effects of repeated MRI on chromosomal damage." Despite making in its abstract the claim that "MRI is a safe imaging technique," the paper finds results that are worrying. We are told, "The total number of damaged cells increased by 3.2% (95% CI 1.5–4.8%) per MRI (Fig. 2d–h) (p< 0.001); this increase being higher during the first ten MRI sessions than during the last ten ones."

Is there any protocol in place to prevent subjects from being used more than once in a neuroscience brain scan study? Apparently not, because Table 1 of the paper above mentions some subjects of the Human Brain Project being given more than 25 MRI brain scans, none of them medically necessary.  The blase attitude of experimental neuroscientists towards health risks to their brain scan subjects is very appalling.  Not only do they fail to track the long-term health of the subjects scanned ("scan 'em and forget 'em,") but also seem to pay no attention to how many times their subjects have been scanned, ignoring cumulative risk. 

Most appallingly, our neuroscientists seem to fail to honestly notify their human subjects of the risks they are undergoing before engaging in possibly dangerous 3T brain scans so that the financially needy subjects can earn trifling sums. After doing a Google search for "brain scan experiment consent form," I find several actual consent forms and "model" consent forms containing dishonest language, such as the claim that there are "no known significant risks or side effect associated with MRI scans." That is not honest language, given the statements I have discussed above. One "template" for brain scan studies recommended by a university has these ridiculously inconsistent statements (the first untrue statement being contradicted by the rest of the statements):

"There are no known significant risks or side effects associated with MRI scans...There is a risk if metal objects are near the MRI because they can be drawn into the MRI scanner
and that could hurt someone in or near the machine...There may be risks associated with this study that we do not know about. In spite of all the care and precautions taken by the investigators, you might develop medical complications from participating in this study."

One horrid form by a major university asks participants to be scanned for an hour in an MRI machine as a "dry run" to test the machine or its settings. The form states this:

"The procedure may involve unexpected risks that are impossible to predict. These unforeseen risks may affect you during your participation in the procedure and/or at some point in the future...You will not be helped by participating in this procedure....You will not be paid for participating in this study....If you are hurt as a result of participating in the 'dry run exam', we have no plans to pay you for lost wages, disability, or discomfort."

In general, the MRI consent forms I looked at totally failed to warn participants of the risk of cell damage and the increased chance of getting cancer as a result of a 1 hour 3T brain scan, something everyone should be warned of. As mentioned above, the 2022 paper "The effects of repeated brain MRI on chromosomal damage" found that "The total number of damaged cells increased by 3.2% (95% CI 1.5–4.8%) per MRI." The paper was referring to "DNA breaks" that have a possibility of increasing cancer risk.  The paper referred to 90-minute 3T scans much longer than the average diagnostic MRI brain scan, which takes maybe 15 minutes and presumably damages much less than 1% of cells.

A paper entitled "A massive 7T fMRI dataset to bridge
3 cognitive neuroscience and artificial intelligence" discusses some data collection in which eight subjects were brain scanned 30 to 40 times with 7T scanners twice as powerful as the 3T scanners mentioned above, with each scan being about an hour long. The paper states this: 

"The total number of 7T fMRI scan sessions were 43, 43, 35, 33, 43, 35, 43, and 33 for subj01–subj08, respectively. The average number of hours of resting-state fMRI conducted for each subject was 2.0 hours, and the average number of hours of task-based fMRI conducted for each subject was 38.5 hours."

This was in addition to other 3T scans the subjects were given.  The paper makes no mention of any consideration of health risks to these people, who received only $30 per hour for the medically unnecessary scans. A 7T scanner would presumably have more than twice the risks of the 3T scanners discussed above.  

Postscript: The latest example of needless risk to subjects is a study with a preprint entitled "Semantic reconstruction of continuous language from non-invasive brain recordings." The study failed to show any good evidence for anything important, as it used a way too-small study group size of only seven subjects (15 subjects per study group is the minimum for a moderately impressive result). Following Questionable Research Practices, the scientists report no sample size calculation, no blinding protocol, no pre-registration, no control group, and no effect size. The only "statistical significance" reported is what smells like "p-hacking" kind of results of the bare minimum for publication (merely p < .05). For these basically worthless results, seven subjects endured something like 16 hours of brain scanning with a 3T scanner, which is more than 30 times longer than they would have had for a diagnostic MRI.  Senselessly, this study has been reported by our ever-credulous science press as some case of reading thoughts by brain scanning. It is no evidence of any such thing. 

A 2005 article in Nature discusses second brains scans required in NIH-funded experiments, apparently to help clarify which subjects have brain anomalies that need to be reported to physicians. We read this about some workshop of "about 50 scientists, physicians, lawyers and ethicists": 

"The NIH goes one step further by requiring its on-campus investigators to perform a clinical scan of every research subject, in addition to any research scans. But workshop participants agreed that this was not a good idea because it can expose people to unnecessary risks from extra procedures."

So the scientists seemed to agree that having two brain scans was  exposing subjects to "unnecessary risks." So why are we having so many poorly designed neuroscience experiments in which so many subjects are needlessly subjected to such "unnecessary risks"? And why are some subjects being subjected to more than ten brain scans in such poorly designed experiments? 

At the Courtois NeuroMod site here we have a page detailing frivolous-seeming datasets gathered by what seems like excessive and potentially hazardous brain scanning of subjects. For example, one of the datasets consists of "About ten hours of fMRI data per subject (N=6) while watching the following movies: Bourne Supremacy, The Wolf of Wall Street, Life documentary (twice), Hidden Figures ((twice)."  We see nine other datasets that sound just as frivolous, such as one that describes "About ten hours of fMRI data per subject (N=5) while watching the 6th season of the Friends TV show." One of the scientists involved in this project has announced the morally reckless idea of brain-scanning individual subjects for 600 hours. We read this in a paper by him"The Courtois NeuroMod team will scan six subjects for about 100 hours per year in functional MRI, as well as 20 hours per year in MEG, for a duration of five years, totaling about 600 hours."  This is for some medically unnecessary project involving video games. 

excessive brain scanning

Post-postscript: An October 2024 article published by the US Department of Veteran Affairs  is entitled "
Metal in MRI contrast agents may cause serious health problems."  We learn some shocking details suggesting neuroscience researchers may have been massively endangering their research volunteers:

"New Mexico VA Healthcare System researchers were part of a team of experts who revealed potential chronic health problems linked to magnetic resonance imaging (MRI) contrast agents.

Their review article compiled evidence that the metal gadolinium can remain in the body and lead to multiple conditions, such as kidney injury, debilitating joint and skin problems, and even fatal brain damage....A peculiar, devastating condition, systemic fibrosis, was first identified in 1997 in end-stage renal disease patients. Patients were afflicted with severe pain and a woody or cobblestone-like texture to the skin, as well as joint problems. Nephrologists identified gadolinium as the most significant risk factor in 2006. ...
Now it seems the gadolinium contrast agents have the potential for harm in other patients, not just those with impaired kidney function, based on evidence gathered by Wagner and his team. They said their findings have profound implications for patients experiencing symptoms associated with gadolinium exposure, such as brain fog, skin disorders, joint pain, and permanent disability.

The researchers also discovered gadolinium can stay in the body for a long time, possibly permanently, meaning patients may experience symptoms immediately after as little as one MRI contrast agent exposure or many years after exposure."

The article is discussing the 2024 paper "The safety of magnetic resonance imaging contrast agents," which you can read here. Below are some excerpts:

"Safety concerns with magnetic resonance imaging contrast agents arose when gadolinium was linked to the blight systemic fibrosis, a grievous infirmity (Grobner, 2006)... In addition to severe pain, the skin has been characterized as having a woody induration and cobblestoned. The disease is also associated with severely debilitating joint contractures....Gadolinium-based contrast agents are increasingly associated with cutaneous and systemic abnormalities in patients with normal renal function...Data mining of the United States Food & Drug Administration Adverse Event Reporting System corroborates that skin complications relate to most brands of magnetic resonance imaging contrast agents (Wang et al., 2023). As of 30 September 2023, 31,868 reactions were reported to the United States Food & Drug Administration Adverse Event Reporting System (Figure 2). The leading reaction group for all magnetic resonance imaging contrast agents is skin and subcutaneous tissue disorders (including nephrogenic systemic fibrosis)....Symptoms were skin thickening, 'like hard rubber,' hair loss, skin biopsy with fibrosis, and abnormal calcification on mammograms and x-rays....Acute kidney injury has also been temporally linked to gadolinium-based contrast administration....Neurotoxicity has been linked to magnetic resonance imaging contrast agents in rodent models and case reports (Rogosnitzky and Branch, 2016)....Known complications of gadolinium-based contrast agent administration include kidney damage (Leander et al., 1992Prince et al., 1996Sam et al., 2003Thomsen, 2004Akgun et al., 2006Briguori et al., 2006Ergun et al., 2006Elmstahl et al., 2007), nephrogenic systemic fibrosis, skin disorders, and sometimes permanent neurologic sequelae (including coma and death). Each dose of gadolinium is fraught with unanticipated risks...In humans, a single magnetic resonance imaging contrast agent exposure can trigger nephrogenic systemic fibrosis (Broome et al., 2007Thomsen et al., 2007Abraham et al., 2008Shabana et al., 2008Leyba and Wagner, 2019). When Dr. Sean Cowper (Professor of Dermatology, Yale School of Medicine) maintained a registry of nephrogenic systemic fibrosis cases, he noted that 46% of cases had just a single exposure....There are many reports of neurotoxicity induced by gadolinium (Table 2). Many case reports detail acute, subacute, and chronic complications (summarized in Supplementary Material). Invariably, these cases required escalation of care for life-threatening scenarios....The doses of magnetic resonance imaging contrast agent needed to induce severe neurologic manifestations (and sometimes death) are minute. .Disinherited by the medical establishment, patients spend an eternal time in chronic symptomatic purgatory....Magnetic resonance imaging contrast agents cause kidney injury and gadolinium encephalopathy (sometimes fatal) and may lead to permanent gadolinium retention. Provider education regarding these known adverse events is critical, and informing patients of these risks and outcomes is essential."

The fact that gadolinium contrast agents have risks has been known for many years. During the past ten years neuroscientists have been pushing a story line that such gadolinium contrast agents are dangerous only to people with kidney disease. This is though there has long been evidence that such gadolinium contrast agents are hazardous even to people without kidney disease. Many of the links quoted above will take you to scientific papers published before 2024.  As early as 2014, the paper "Gadolinium-based Contrast Agent Accumulates in the Brain Even in Subjects without Severe Renal Dysfunction: Evaluation of Autopsy Brain Specimens with Inductively Coupled Plasma Mass Spectroscopy" had shown that gadolinium accumulates in the brains of people with normal kidneys. 

I did not even discuss above the dangers of PET scans done in neuroscience research. PET scans involve the injection of radioactive materials into the body. The radioactive materials have a short half-life, and neuroscientists claim the scans are not risky. But there is every reason to suspect that such scans involve very significant risks to the subjects. PET scans involve significant doses of ionizing radiation that increase the chance of cancer. A PET scan typically involves as much radiation as a CT scan, and it is well-known that every CT scan that you have slightly increases your chance of cancer.   A page on the website of the American Cancer Society says this:

"A PET/CT exposes you to about 25 mSv of radiation. This is equal to about 8 years of average background radiation exposure."

How does that translate to an increased cancer risk? Using the calculator at the web site www.xrayrisk.com (which also allows you to calculate the risk of other things such as CT scans), we get the estimate below:


The answer is that 25 mSv of radiation increases your cancer risk by about 1 part in 328. Many thousands of volunteers underwent PET scans for neuroscience research, and probably dozens or hundreds of them got cancer because of their medically unnecessary participation. 

PostscriptA year 2024 study ("Evaluation of the Biological Effects of Exposures to Magnetic Resonance Imaging on Single-Strand DNA: An In-vivo Study") found similar results, finding that MRI scanners only half as powerful as 3T scanners can produce genotoxic effects.  It reported this:

"The DNA single-strand breaks were significant for all tested parameters in both MRI 1.5 T (p<0.01) and 3.0 T (p<0.001)....The percentage of cells destroyed in the group exposed to 3.0 T MRI was increased to 12.65 ± 1.0 after 10 minutes of exposure."

As shown in its Table 1, the study found that with a 3.0T MRI scanner, the longer you scan, the more DNA damage is done. The reported damage after 40 minutes of 3.0T MRI scanning is given a numerical value of 57, which is nearly twice as high as the damage done after only 10 minutes of scanning (damage given a numerical rating of 32). A similar relation is reported in Table 4, using a different measure of damage.  Using that measure, 10 minutes of 3.0T MRI produces DNA damage given a numerical value of 12.66, but 40  minutes of 3.0T MRI produces almost twice-as-bad DNA damage given a numerical value of 22.38.  Any DNA damage tends to increase cancer risk. 

The 2022 paper here ("The effects of repeated brain MRI on
chromosomal damage") reports, "The total number of damaged cells increased by 3.2% (95% CI 1.5–4.8%) per MRI (Fig. 2d–h) (p < 0.001); this increase being higher during the first ten MRI sessions than during the last ten ones (p for interaction = 0.016)."