Non-Invasive Mapping Helps to Localize Language Centers Before Brain Surgery

A new functional magnetic resonance imaging (fMRI) technique may provide neurosurgeons with a non-invasive tool to help in mapping critical areas of the brain before surgery, reports a study in the April issue of Neurosurgery, official journal of the Congress of Neurological Surgeons. The journal is published by Lippincott Williams & Wilkins, a part of Wolters Kluwer Health.

Evaluating brain fMRI responses to a “single, short auditory language task” can reliably localize critical language areas of the brain—in healthy people as well as patients requiring brain surgery for epilepsy or tumors, according to the new research by Melanie Genetti, PhD, and colleagues of Geneva University Hospitals, Switzerland.

Brief fMRI Task for Functional Brain Mapping
The researchers designed and evaluated a quick and simple fMRI task for use in functional brain mapping. Functional MRI can show brain activity in response to stimuli (in contrast to conventional brain MRI, which shows anatomy only). Before neurosurgery for severe epilepsy or brain tumors, functional brain mapping provides essential information on the location of critical brain areas governing speech and other functions.

The standard approach to brain mapping is direct electrocortical stimulation (ECS)—recording brain activity from electrodes placed on the brain surface. However, this requires several hours of testing and may not be applicable in all patients. Previous studies have compared fMRI techniques with ECS, but mainly for determining the side of language function (lateralization) rather than the precise location (localization).

The new fMRI task was developed and evaluated in 28 healthy volunteers and in 35 patients undergoing surgery for brain tumors or epilepsy. The test used a brief (eight minutes) auditory language stimulus in which the patients heard a series of sense and nonsense sentences.

Functional MRI scans were obtained to localize the brain areas activated by the language task—activated areas would “light up,” reflecting increased oxygenation. A subgroup of patients also underwent ECS, the results of which were compared to fMRI.

Non-invasive Test Accurately Localizes Critical Brain Areas
Based on responses to the language stimulus, fMRI showed activation of the anterior and posterior (front and rear) language areas of the brain in about 90 percent of subjects—neurosurgery patients as well as healthy volunteers. Functional MRI activation was weaker and the language centers more spread-out in the patient group. These differences may have reflected brain adaptations to slow-growing tumors or longstanding epilepsy.

Five of the epilepsy patients also underwent ECS using brain electrodes, the results of which agreed well with the fMRI findings. Two patients had temporary problems with language function after surgery. In both cases, the deficits were related to surgery or complications (bleeding) in the language area identified by fMRI.

Functional brain mapping is important for planning for complex neurosurgery procedures. It provides a guide for the neurosurgeon to navigate safely to the tumor or other diseased area, while avoiding damage to critical areas of the brain. An accurate, non-invasive approach to brain mapping would provide a valuable alternative to the time-consuming ECS procedure.

"The proposed fast fMRI language protocol reliably localized the most relevant language areas in individual subjects," Dr. Genetti and colleagues conclude. In its current state, the new test probably isn’t suitable as the only approach to planning surgery—too many areas "light up" with fMRI, which may limit the surgeon’s ability to perform more extensive surgery with necessary confidence. The researchers add, "Rather than a substitute, our current fMRI protocol can be considered as a valuable complementary tool that can reliably guide ECS in the surgical planning of epileptogenic foci and of brain tumors."

Shift of Language Function to Right Hemisphere Impedes Post-Stroke Aphasia Recovery

In a study designed to differentiate why some stroke patients recover from aphasia and others do not, investigators have found that a compensatory reorganization of language function to right hemispheric brain regions bodes poorly for language recovery. Patients who recovered from aphasia showed a return to normal left-hemispheric language activation patterns. These results, which may open up new rehabilitation strategies, are available in the current issue of Restorative Neurology and Neuroscience.

“Overall, approximately 30% of patients with stroke suffer from various types of aphasia, with this deficit most common in stroke with left middle cerebral artery territory damage. Some of the affected patients recover to a certain degree in the months and years following the stroke. The recovery process is modulated by several known factors, but the degree of the contribution of brain areas unaffected by stroke to the recovery process is less clear,” says lead investigator Jerzy P. Szaflarski, MD, PhD, of the Departments of Neurology at the University of Alabama and University of Cincinnati Academic Health Center.

For the study, 27 right-handed adults who suffered from a left middle cerebral artery infarction at least one year prior to study enrollment were recruited. After language testing, 9 subjects were considered to have normal language ability while 18 were considered aphasic. Patients underwent a battery of language tests as well as a semantic decision/tone decision cognitive task during functional MRI (fMRI) in order to map language function. MRI scans were used to determine stroke volume.

The authors found that linguistic performance was better in those who had stronger left-hemispheric fMRI signals while performance was worse in those who had stronger signal-shifts to the right hemisphere. As expected, they also found a negative association between the size of the stroke and performance on some linguistic tests. Right cerebellar activation was also linked to better post-stroke language ability.

The authors say that while a shift to the non-dominant right hemisphere can restore language function in children who have experienced left-hemispheric injury or stroke, for adults such a shift may impede recovery. For adults, it is the left hemisphere that is necessary for language function preservation and/or recovery.

Scientists Decode Dreams With Brain Scans

It used to be that what happened in your dreams was your own little secret. But today scientists report for the first time that they’ve successfully decoded details of people’s dreams using brain scans.

Before you reach for your tin hat, you should know that the scientists managed this feat only with the full cooperation of their research subjects, and they only decoded dreams after the fact, not in real time. The thought police won’t be busting you for renting bowling shoes from Saddam Hussein or whatever else you’ve been up to in your dreams.

All the same, the work is yet another impressive step for researchers interested in decoding mental states from brain activity, and it opens the door to a new way of studying dreaming, one of the most mysterious and fascinating aspects of the human experience.

In the first part of the new study, neuroscientist Yukiyasu Kamitani and colleagues at the Advanced Telecommunications Research Institute International in Kyoto, Japan monitored three young men as they tried to get some sleep inside an fMRI scanner while the machine monitored their brain activity. The researchers also monitored each volunteer’s brain activity with EEG electrodes, and when they saw an EEG signature indicative of dreaming, they woke him up to ask what he’d been dreaming about.

Technically speaking, this is what researchers call ”hypnagogic imagery,” the dream-like state that occurs as people fall asleep. In the interest of saving time, Kamitani and colleagues chose to study this type of imagery rather than the dreams that tend to occur during REM sleep later in the night. They woke up each subject at least 200 times over the course of several days to build up a database of dream reports.

In the second part of the experiment, Kamitani and colleagues developed a visual imagery decoder based on machine learning algorithms. They trained the decoder to classify patterns of brain activity recorded from the same three men while they were awake and watching a video montage of hundreds of images selected from several online databases. After the decoder for each person had been trained, the researchers could input a pattern of brain activity and have the decoder predict which image was most likely to have produced that pattern of brain activity.

But that much has been done before. Where Kamitani’s team went beyond previous work was in feeding the decoder patterns of brain activity collected while the subjects were dreaming. This enabled them to correctly identify objects the men had seen in their dreams, they report Apr. 4 in Science. Or rather, they could identify the type of object a subject had seen: it could predict that a man had dreamt about a car, not that he’d been cruising around in a Maserati. And the decoder only worked when the researchers gave it a pair of possible objects to chose from (whether it was a man or a chair, for example).

“Our dream decoding is still very primitive,” Kamitani said.

Decoding color, action, or emotion is also still beyond the scope of the technology, Kamitani says. Also, it only seems to work for imagery that occurred — at most — about 15 seconds before waking up.

Finally, the decoder is unique to each person. To decode the dreams of another person, the team would have to train up a new decoder by having that person view hundreds of images.

Even so, it’s remarkable that it works as well as it does, says neuroscientist Jack Gallant of the University of California, Berkeley and a pioneer of decoding mental states from brain scans. ”It took just a huge amount of non-glamorous work to do this, and they deserve big props for that,” Gallant said.

With refinements, Gallant says the method could be useful for studying the nature and function of dreams.

“There’s the classic question of when you dream are you actively generating these movies in your head, or is it that when you wake up you’re essentially confabulating it,” Gallant said. “What this shows you is there’s at least some correspondence between what the brain is doing during dreaming and what it’s doing when you’re awake.”

Kamitani is thinking about the possibilities too. ”One theory states that dreaming is for strengthening memory, but another theory states dreaming is for forgetting,” he said. “We could record the frequency of decoded dream contents for each memory item and see the correlation between the frequency and the memory performance.”

Alterations in brain activity in children at risk of schizophrenia predate onset of symptoms

Research from the University of North Carolina has shown that children at risk of developing schizophrenia have brains that function differently than those not at risk.

Brain scans of children who have parents or siblings with the illness reveal a neural circuitry that is hyperactivated or stressed by tasks that peers with no family history of the illness seem to handle with ease.

Because these differences in brain functioning appear before neuropsychiatric symptoms such as trouble focusing, paranoid beliefs, or hallucinations, the scientists believe that the finding could point to early warning signs or “vulnerability markers” for schizophrenia.

“The downside is saying that anyone with a first degree relative with schizophrenia is doomed. Instead, we want to use our findings to identify those individuals with differences in brain function that indicate they are particularly vulnerable, so we can intervene to minimize that risk,” said senior study author Aysenil Belger, PhD, associate professor of psychiatry at the UNC School of Medicine.

The UNC study, published online on March 6, 2013, in the journal Psychiatry Research: Neuroimaging, is one of the first to look for alterations in brain activity associated with mental illness in individuals as young as nine years of age.

Individuals who have a first degree family member with schizophrenia have an 8-fold to 12-fold increased risk of developing the disease. However, there is no way of knowing for certain who will become schizophrenic until symptoms arise and a diagnosis is reached. Some of the earliest signs of schizophrenia are a decline in verbal memory, IQ, and other mental functions, which researchers believe stem from an inefficiency in cortical processing – the brain’s waning ability to tackle complex tasks.

In this study, Belger and her colleagues sought to identify what if any functional changes occur in the brains of adolescents at high risk of developing schizophrenia. She performed functional magnetic resonance imaging (fMRI) on 42 children and adolescents ages 9 to 18, half of which had relatives with schizophrenia and half of which did not. Study participants each spent an hour and a half playing a game where they had to identify a specific image – a simple circle – out of a lineup of emotionally evocative images, such as cute or scary animals. At the same time, the MRI machine scanned for changes in brain activity associated with each target detection task.

Belger found that the circuitry involved in emotion and higher order decision making was hyperactivated in individuals with a family history of schizophrenia, suggesting that the task was stressing out these areas of the brain in the study subjects.

“This finding shows that these regions are not activating normally,” she says. “We think that this hyperactivation eventually damages these specific areas in the brain to the point that they become hypoactivated in patients, meaning that when the brain is asked to go into high gear it no longer can.”

Belger is currently exploring what kind of role stress plays in the changing mental capacity of adolescents at high risk of developing schizophrenia. Though only a fraction of these individuals will be diagnosed with schizophrenia, Belger thinks it is important to pinpoint the most vulnerable people early to explore interventions that may stave off the mental illness.

“It may be as simple as understanding that people are different in how they cope with stress,” says Belger. “Teaching strategies to handle stress could make these individuals less vulnerable to not just schizophrenia but also other neuropsychiatric disorders.”

Brain-mapping increases understanding of alcohol’s effects on college freshmen

A research team that includes several Penn State scientists has completed a first-of-its-kind longitudinal pilot study aimed at better understanding how the neural processes that underlie responses to alcohol-related cues change during students’ first year of college.

Anecdotal evidence abounds attesting to the many negative social and physical effects of the dramatic increase in alcohol use that often comes with many students’ first year of college. The behavioral changes that accompany those effects indicate underlying changes in the brain. Yet in contrast to alcohol’s numerous other effects, its effect on the brain’s continuing development from adolescence into early adulthood — which includes the transition from high school to college — is not well known.

Penn State psychology graduate student Adriene Beltz, with a team of additional researchers, investigated the changes that occurred to alcohol-related neural processes in the brains of a small group of first-year students.

Using functional magnetic resonance imaging (fMRI) and a data analysis technique known as effective connectivity mapping, the researchers collected and analyzed data from 11 students, who participated in a series of three fMRI sessions beginning just before the start of classes and concluding part-way through the second semester.

"We wanted to know if and how brain responses to alcohol cues — pictures of alcoholic beverages in this case — changed across the first year of college," said Beltz, "and how these potential changes related to alcohol use. Moreover, we wanted our analysis approach to take advantage of the richness of fMRI data."

Analysis of the data collected from the study participants revealed signs in their brains’ emotion processing networks of habituation to alcohol-related stimuli, and noticeable alterations in their cognitive control networks.

Recent studies have indicated that young adults’ cognitive development continues through the ages of the mid-20s, particularly in those regions of the brain responsible for decision-making or judgment-related activity — the sort of cognitive “fine tuning” that potentially makes us, in some senses, as much who we are (and will be) as any other stage of our overall development.

Other recent studies suggest that binge drinking during late adolescence may damage the brain in ways that could last into adulthood.

Beltz’s study indicates that connections among brain regions involved in emotion processing and cognitive control may change with increased exposure to alcohol and alcohol-related cues. Those connections also may influence other parts of the brain, such as those still-developing regions responsible for students’ decision-making and judgment abilities.

"The brain is a complex network," Beltz said. "We know that connections among different brain regions are important for behavior, and we know that many of these connections are still developing into early adulthood. Thus, alcohol could have far-reaching consequences on a maturing brain, directly influencing some brain regions and indirectly influencing others by disrupting neural connectivity."

While in an fMRI scanner at the Penn State Social, Life and Engineering Sciences Imaging Center, students participating in the study completed a task: responding as quickly as possible, by pressing a button on a grip device, to an image of either an alcoholic beverage or a non-alcoholic beverage when both types of images were displayed consecutively on a screen. From the resulting data, effective connectivity maps were created for each individual and for the group.

Examining the final maps, the researchers found that brain regions involved in emotion-processing showed less connectivity when the students responded to alcohol cues than when they responded to non-alcohol cues, and that brain regions involved in cognitive control showed the most connectivity during the first semester of college. The findings suggest that the students needed to heavily recruit brain regions involved in cognitive control in order to overcome the alcohol-associated stimuli when instructed to respond to the non-alcohol cues.

"Connectivity among brain regions implicated in cognitive control spiked from the summer before college to the first semester of college," said Beltz. "This was particularly interesting because the spike coincided with increases in the participants’ alcohol use and increases in their exposure to alcohol cues in the college environment. From the first semester to the second semester, levels of alcohol use and cue exposure remained steady, but connectivity among cognitive control brain regions decreased. From this, we concluded that changes in alcohol use and cue exposure — not absolute levels — were reflected by the underlying neural processes."

Although the immediate implications of the pilot study for first-year students are fairly clear, there are still a number of unanswered questions related to alcohol’s longer-term effects on development, for college students after their first year and for those same individuals later in life.

To begin exploring those potential long-term effects, Beltz has planned a follow-up study to track a larger number of participants over a greater length of time.

Stanford psychologists uncover brain-imaging inaccuracies

Pictures of brain regions “activating” are by now a familiar accompaniment to any neurological news story. With functional magnetic resonance imaging, or fMRI, you can see specific brain regions light up, standing out against the background like night owls’ apartment windows.

It’s easy to forget that these brain images aren’t real snapshots of brain activity. Instead, each picture is the result of many layers of analysis and interpretation, far removed from raw data.

"It’s just one representation of brain activity," said Matthew Sacchet, a PhD student in the Neurosciences Program at the Stanford School of Medicine. "As you process the data, it can change."

Sacchet works in the lab of Stanford psychology Associate Professor Brian Knutson, who studies reward processing in a small area of the brain known as the nucleus accumbens. Precisely how that structure activates is at the heart of an ongoing debate about reward circuits – a subject that holds relevance for our understanding of everything from addiction to financial risk-taking.

Unfortunately, according to a paper from Knutson and Sacchet, hundreds of research papers on this circuit may be unintentionally biased. When the labs processed their fMRI findings, many used a one-size-fits-all strategy that skewed which regions of the brain appeared to be activating.

"I honestly think most people want good data," said Knutson. "I’m excited that we can make this kind of research more rigorous."

The paper appeared in the journal NeuroImage.

Too much smoothing

Functional magnetic resonance imaging measures changes in blood flow in the brain. It’s a powerful tool, but the signal fMRI actually detects – the result of the magnetic differences between oxygenated and deoxygenated blood – is noisy.

Researchers need to statistically process the data in order to make the resulting data interpretable. One of the most common approaches is known as “spatial smoothing,” which involves averaging the activity of each brain region with that of its neighbors.

But fMRI has only been in use since the mid-1990s. Many of the most common analyses in use today are holdovers from older, lower-resolution types of imaging and seem to have some undesired effects on the finer-grained signals fMRI can provide.

Knutson and Sacchet found that when researchers process fMRI data with a traditional “smoothing kernel” of 8mm, they end up averaging their images over too large an area. Activity in smaller brain structures can then be overlooked, or even shifted to areas that receive more blood flow and where the blood oxygenation level-dependent signal is stronger.

"It might seem strange that a systematic bias like that could bias the whole field," Knutson said. "But if half the people use 8mm and half use 4mm, you might end up with very different results, and it could add up."

Reward structure

These statistical pitfalls are particularly glaring when studying the small, structurally complex nucleus accumbens.

Findings from the Knutson Lab, which has been using the smaller, 4mm smoothing kernel for years, suggest that different parts of the nucleus accumbens have different functions. The forward portion seems to distinguish between positive or negative stimuli, reacting specifically to rewards. Meanwhile, the rear section responds more to the intensity of the motivation.

While some other labs have corroborated this finding, others only found activation in the rear half of the structure.

These contradictory findings now appear to have been skewed. Because the back of the nucleus accumbens is larger and surrounded by more blood-infused gray matter than the front, the smoothing step made it appear as if all the nucleus accumbens’ activity originated far to the rear.

A collaborator in Germany already has taken the paper’s advice, Sacchet said. “She had a colleague reanalyze her data and found the same thing we found.”

Knutson emphasized that the research paper doesn’t mean “the methods are bunk.” Simply improving the way scientists process signals can enhance their ability to locate specific brain functions.

"There may be a debate, but you can resolve that debate with data," he said.

Amputee pain linked to brain retaining picture of missing limb

Changes in the brain following amputation have been linked to pain arising from the missing limb, called ‘phantom pain’, in an Oxford University brain imaging study.

Arm amputees experiencing the most phantom limb pain were found to maintain stronger representation of the missing hand in the brain – to the point where it was indistinguishable from people with both hands.

The researchers hope their identification of brain responses correlated with the level of phantom pain can aid the development of treatment approaches, as well as increase understanding of how the brain reorganises and adapts to new situations.

The Oxford University researchers, along with Dr David Henderson-Slater of the Nuffield Orthopaedic Centre, report their findings in the journal Nature Communications.

‘Almost all people who have lost a limb have some sensation that it is still there, and it’s thought that around 80% of amputees experience some level of pain associated with the missing limb. For some the pain is so great it is hugely debilitating,’ says first author Dr Tamar Makin of the Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB) at Oxford University.

Treatments for phantom limb pain tend to be limited to standard drugs for pain relief. The origin of the pain is not well understood. There may be many factors that lead to the pain, including injured nerve endings where the limb was lost and changes in the brain areas connected with the missing limb.

Lynn Ledger, a 48 year old trained therapist and advisor to charities on management training from Nottingham, took part in the study. She had her left arm amputated halfway between the elbow and shoulder in May 2009 after radiotherapy for a rare form of cancer failed to deal with an extensive tumour in her arm. She experiences severe pain as if it was coming from the missing limb.

‘I’ve pretty much tried everything to deal with the pain but nothing has worked,’ Lynn says. ‘There are no drug treatments that work because the condition is not fully understood yet. I can only use various distraction techniques, breathing exercises and mental imagery techniques, to help me manage the pain.

‘It’s very hard to describe the pain to others. I have a nonexistent limb, but I still sense it and feel pain. It’s like: imagine you are wearing a lady’s evening glove that stretches from the fingers up the arm past the elbow. But everywhere the glove covers, it’s as if it’s constantly crushing your arm. There are also shooting pains and intensely painful burning sensations that come and go, but the crushing pain is constant.

‘When I heard about this study I wanted to be involved as it was trying to improve people’s understanding of the condition.’

Kirsty Mason from Bracknell is 22 and about to start a new job as a support worker for people with mental health problems, as well as being an assessor for disabled students for their assisted technology needs. She lost her right arm four years ago just below the elbow after blacking out at a train station and falling on to the rails just ahead of a train coming in. She woke to find a wheel stopped on her arm. Since then she’s learned to write with her left hand and began driving last year. She also took part in the brain imaging study.

‘With me it’s all or nothing,’ Kirsty says of her phantom pain. ‘I get the usual pins and needles and a constant niggling pain that I can shut out by doing other things. But the worst pain is a kind of burning. It’s less frequent but it’s intense: 90-100 on the scale. It sounds silly, but the only thing I can do is stick my hand in a freezer. It numbs it.

She says: ‘I can feel my fist clenching, my fingernails digging in. I can see the hand isn’t there but the sensation is so realistic. If someone throws me a ball, I’ll move both hands to catch it. I’ll put out both hands if I fall over.’

The Oxford University team used MRI imaging to study how the phantom limb pain felt by people who have had an arm amputated is related to changes in the brain.

They compared MRI data for 18 amputees, with differing levels of phantom pain, with 11 individuals born with one hand through a limb deficiency and a control group of 22 adults with two full limbs.

The amputations had been done 18 years ago on average, but the participants still experienced sensations for the missing arm. By asking them to move the fingers of the phantom limb while in the MRI scanner, the researchers were able to look at how the missing hand is represented in the brain.

They found that the brain maintained its representation of the hand, even though the limb was no longer there. The extent to which the representation was maintained was linked to the strength and frequency of the pain the amputees felt: those feeling the greatest pain retained the strongest representation of the missing hand.

‘We were astonished to find that in amputees experiencing strong phantom pain, the brain’s response was indistinguishable from that seen in people with intact limbs,’ says Dr Makin.

The researchers found that the amount of grey matter in the phantom hand area of the brain was reduced in amputees compared to those with two hands. But again this was linked to the amount of pain amputees felt. Those experiencing stronger pain showed less structural degeneration in the missing hand area following the loss of the limb.

However, while those with strong phantom limb pain maintained the local brain structure and function for the missing hand, there was evidence that connections to other parts of the brain were disrupted more.

In particular, the representation of the missing hand was more out of synch with the area looking after the other hand on the opposite side of the brain.

Dr Makin says: ‘Most people experience “phantom” sensations in a missing limb after amputation. This disconnect between the physical world and what they are experiencing appears to be linked to a functional detachment in the brain. There seem to be reduced connections between the missing limb part of the brain and the rest of the cortex that’s involved in movement.

‘Our results may encourage rehabilitation approaches that aim to re-couple the representation of the phantom hand with the external sensory environment.’

Tests conducted on Israel’s Ariel Sharon reveal significant brain activity

A team of American and Israeli brain scientists tested former Israeli Prime Minister Ariel Sharon to assess his brain responses, using functional magnetic resonance imaging (fMRI). Surprisingly, Sharon showed significant brain activity.

The team consisted of Martin Monti, an assistant professor of psychology and neurosurgery at UCLA, professors Alon Friedman, Galia Avidan and Tzvi Ganel of the Zlotowski Center for Neuroscience at Israel’s Ben-Gurion University of the Negev, and Dr. Ilan Shelef, head of medical imaging at Israel’s Soroka University Medical Center.

The 84-year-old Sharon, presumed to be in a vegetative state since suffering a brain hemorrhage in 2006, was scanned last week to assess the extent and quality of his brain processing, using methods recently developed by Monti and his colleagues. The test lasted approximately two hours.

The scientists showed Sharon pictures of his family, had him listen to his son’s voice and used tactile stimulation to assess the extent to which his brain responded to external stimuli.

To their surprise, significant brain activity was observed in each test, in specific brain regions, indicating appropriate processing of these stimulations, Monti said.

The scientists conducted three tests to assess Sharon’s level of consciousness. They asked him to imagine he was hitting a tennis ball and to imagine he was walking through the rooms of his home. They also showed him a photograph of a face superimposed on a photo of a house, asking him to focus first on the face and then on the house. The scientists found encouraging, but subtle, signs of consciousness.

"Information from the external world is being transferred to the appropriate parts of Mr. Sharon’s brain. However, the evidence does not as clearly indicate whether Mr. Sharon is consciously perceiving this information," Monti said. "We found faint brain activity indicating that he was complying with the tasks. He may be minimally conscious, but the results were weak and should be interpreted with caution."

Tzvi Ganel, who initiated the project, stressed that Sharon’s family wished to employ these new techniques not only for the benefit of the former prime minister but also for other families in a similar situation.

Scanning the Brain: Scientists Examine the Impact of fMRI Over the Past 20 Years

Understanding the human brain is one of the greatest scientific quests of all time, but the available methods have been very limited until recently. The development of functional magnetic resonance imaging (fMRI) — a tool used to gauge real-time brain activity by measuring changes in blood flow — opened up an exciting new landscape for exploration.

Now, twenty years after the first fMRI study was published, a group of distinguished psychological scientists reflect on the contributions fMRI has made to our understanding of human thought. Their reflections are published as part of a special section of the January 2013 issue of Perspectives on Psychological Science, a journal of the Association for Psychological Science.

In the last two decades, many researchers have used fMRI to try to answer various questions about the brain and mind. But some are not convinced of its usefulness.

“Despite the many new methods and results derived from fMRI research, some have argued that fMRI has done very little to advance knowledge about cognition and, in particular, has done little to advance theories about cognitive processes,” write Mara Mather, Nancy Kanwisher, and John Cacioppo, editors of the special section.

The aim of the special section is to tackle the question of how fMRI results have (or have not) changed the way we think about human psychology and the brain, resulting in a collection of 12 provocative articles.

Some of the authors argue that fMRI has fundamentally changed that way that researchers think about the aging mind. According to researchers Tor Wager and Lauren Atlas, fMRI may also provide a more direct way of measuring pain.

Others discuss the contributions fMRI has made to the longstanding debate about whether cognitive operations are modular or distributed across domains. And some emphasize the reciprocal relationship between fMRI and cognitive theories, highlighting how each informs the others.

As appealing as fMRI images might be, researchers Martha Farah and Cayce Hook find little support for the claim that fMRI data has a “seductive allure” that makes it more persuasive than other types of data.

In their concluding commentary, Mather, Cacioppo, and Kanwisher argue that fMRI does provide unique insights to our understanding of cognition. But, as powerful as it is, the researchers acknowledge that there are some questions fMRI will never answer.

“The best approach to answering questions about cognition,” say Mather, Cacioppo, and Kanwisher, “is a synergistic combination of behavioral and neuroimaging methods, richly complemented by the wide array of other methods in cognitive neuroscience.”

(Image courtesy of Glasgow University)