Posts tagged neuroimaging

Posts tagged neuroimaging
A multicenter research team led by Cedars-Sinai neurologist Nancy Sicotte, MD, an expert in multiple sclerosis and state-of-the-art imaging techniques, used a new, automated technique to identify shrinkage of a mood-regulating brain structure in a large sample of women with MS who also have a certain type of depression.

In the study, women with MS and symptoms of “depressive affect” – such as depressed mood and loss of interest – were found to have reduced size of the right hippocampus. The left hippocampus remained unchanged, and other types of depression – such as vegetative depression, which can bring about extreme fatigue – did not correlate with hippocampal size reduction, according to an article featured on the cover of the January 2014 issue of Human Brain Mapping.
The research supports earlier studies suggesting that the hippocampus may contribute to the high frequency of depression in multiple sclerosis. It also shows that a computerized imaging technique called automated surface mesh modeling can readily detect thickness changes in subregions of the hippocampus. This previously required a labor-intensive manual analysis of MRI images.
Sicotte, the article’s senior author, and others have previously found evidence of tissue loss in the hippocampus, but the changes could only be documented in manual tracings of a series of special high-resolution MRI images. The new approach can use more easily obtainable MRI scans and it automates the brain mapping process.
“Patients with medical disorders – and especially those with inflammatory diseases such as MS – often suffer from depression, which can cause fatigue. But not all fatigue is caused by depression. We believe that while fatigue and depression often co-occur in patients with MS, they may be brought about by different biological mechanisms. Our studies are designed to help us better understand how MS-related depression differs from other types, improve diagnostic imaging systems to make them more widely available and efficient, and create better, more individualized treatments for our patients,” said Sicotte, director of Cedars-Sinai’s Multiple Sclerosis Program and the Neurology Residency Program. She received a $506,000 grant from the National Multiple Sclerosis Society last year to continue this research.
(Source: newswise.com)
Assessing structural and functional changes in the brain may predict future memory performance in healthy children and adolescents, according to a study appearing January 29 in The Journal of Neuroscience. The findings shed new light on cognitive development and suggest MRI and other tools may one day help identify children at risk for developmental challenges earlier than current testing methods allow.

Working memory capacity — the ability to hold onto information for a short period of time — is one of the strongest predictors of future achievements in math and reading. While previous studies showed that MRI could predict current working memory performance in children, scientists were unsure if MRI could predict their future cognitive capacity.
In the current study, Henrik Ullman, Rita Almeida, PhD, and Torkel Klingberg, MD, PhD, at the Karolinska Institutet in Sweden evaluated the cognitive abilities of a group of healthy children and adolescents and measured each child’s brain structure and function using MRI. Based on the MRI data collected during this initial testing, the researchers found they could predict the children’s working memory performance two years later, a prediction that was not possible using the cognitive tests.
“Our results suggest that future cognitive development can be predicted from anatomical and functional information offered by MRI above and beyond that currently achieved by cognitive tests,” said Ullman, the lead author of the study. “This has wide implications for understanding the neural mechanisms of cognitive development.”
The scientists recruited 62 children and adolescents between the ages of 6 and 20 years to the lab, where they completed working memory and reasoning tests. They also received multiple MRI scans to assess brain structure and changes in brain activity as they performed a working memory task. Two years later, the group returned to the lab to perform the same cognitive tests.
Using a statistical model, the researchers evaluated whether MRI data obtained during the initial tests correlated with the children’s working memory performance during the follow-up visit. They found that while brain activity in the frontal cortex correlated with children’s working memory at the time of the initial tests, activity in the basal ganglia and thalamus predicted how well children scored on the working memory tests two years later.
“This study is another contribution to the growing body of neuroimaging research that yields insights into unraveling present and predicting future cognitive capacity in development,” said Judy Illes, PhD, a neuroethicist at the University of British Columbia. “However, the appreciation of this important new knowledge is simpler than its application to everyday life. How a child performs today and tomorrow relies on multiple positive and negative life events that cannot be assessed by today’s technology alone.”
(Source: alphagalileo.org)
What makes us human? Unique brain area linked to higher cognitive powers
Oxford University researchers have identified an area of the human brain that appears unlike anything in the brains of some of our closest relatives.
The brain area pinpointed is known to be intimately involved in some of the most advanced planning and decision-making processes that we think of as being especially human.
'We tend to think that being able to plan into the future, be flexible in our approach and learn from others are things that are particularly impressive about humans. We've identified an area of the brain that appears to be uniquely human and is likely to have something to do with these cognitive powers,' says senior researcher Professor Matthew Rushworth of Oxford University's Department of Experimental Psychology.
MRI imaging of 25 adult volunteers was used to identify key components in the ventrolateral frontal cortex area of the human brain, and how these components were connected up with other brain areas. The results were then compared to equivalent MRI data from 25 macaque monkeys.
Expanding our view of vision
Every time you open your eyes, visual information flows into your brain, which interprets what you’re seeing. Now, for the first time, MIT neuroscientists have noninvasively mapped this flow of information in the human brain with unique accuracy, using a novel brain-scanning technique.
This technique, which combines two existing technologies, allows researchers to identify precisely both the location and timing of human brain activity. Using this new approach, the MIT researchers scanned individuals’ brains as they looked at different images and were able to pinpoint, to the millisecond, when the brain recognizes and categorizes an object, and where these processes occur.
“This method gives you a visualization of ‘when’ and ‘where’ at the same time. It’s a window into processes happening at the millisecond and millimeter scale,” says Aude Oliva, a principal research scientist in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).
Oliva is the senior author of a paper describing the findings in the Jan. 26 issue of Nature Neuroscience. Lead author of the paper is CSAIL postdoc Radoslaw Cichy. Dimitrios Pantazis, a research scientist at MIT’s McGovern Institute for Brain Research, is also an author of the paper.
Infants born prematurely are at elevated risk for cognitive, motor, and behavioral deficits — the severity of which was, until recently, almost impossible to accurately predict in the neonatal period with conventional brain imaging technology. But physicians may now be able to identify the premature infants most at risk for deficits as well as the type of deficit, enabling them to quickly initiate early neuroprotective therapies, by using highly reliable 3-D MRI imaging techniques developed by clinician scientists at The Research Institute at Nationwide Children’s Hospital. The imaging technique also facilitates early and repeatable assessments of these therapies to help clinicians and researchers determine whether neuroprotective treatments are effective in a matter of weeks, instead of the two to five years previously required.
The researchers — experts in brain imaging and anatomy — developed a protocol for using the special imaging technique to study the development of 10 brain tracts in these tiny patients, work published online January 24 in PLOS One. Colorful 3-D images of each tract revealed the connections of the segments to different parts of the brain or the spinal cord. Each of the 10 tracts is important for certain functions and abilities, such as language, movement or vision.
“Developing a reliable and reproducible methodology for studying the premature brain was crucial in order for us to get to the next step: assessing neuroprotective therapies,” said Nehal A. Parikh, DO, principal investigator in the Center for Perinatal Research at Nationwide Children’s and senior author on the paper. “Now that we have this protocol, we can improve the standard of care and evaluate efforts to promote brain health within 8 to 12 weeks of beginning the interventions. That way, we can quickly see what really works.”
The study tested a detailed approach to measuring brain structure in extremely low birth weight infants at term-equivalent age by comparing their diffusion tensor tractography (DTT) scans to those of healthy, full-term newborns. DTT is a special MRI technique that produces 3-D images and is able to detect the brain’s structure and more subtle injuries than earlier forms of the technology.
The research team is the first to confirm differences in the fibrous structure of the 10 tracts between healthy, full-term infant brains and those of premature babies. Although the imaging technology is regularly used in adults, the tiny head size and lack of benchmark measurements in healthy infants meant that the use of DTT in premature infants was previously uncharted territory. With the detailed technique developed by Dr. Parikh’s team, the images can now be reproducibly processed and reliably interpreted.
“This protocol opens the field to far greater use of the methodology for targeting and assessing therapies in these infants,” said Dr. Parikh, who also is an associate professor of pediatrics at The Ohio State University College of Medicine. “We already have studies underway using our DTT segmentation methodology to measure the effectiveness of early neuroprotective interventions, such as the use of breast milk or skin-to-skin contact while premature babies are in intensive care.”
As imaging technology continues to be refined, the goal of targeted therapies based on the specific region of the brain with a delay or injury will become reality, Dr. Parikh predicted.For example, if an infant’s DTT scan indicates an under-developed corticospinal tract — the region of the brain controlling motor ability — physicians could immediately begin proactive physical therapies with the baby instead of waiting until the delay manifests itself. A repeat DTT scan a few months after beginning the therapy could then detect whether the therapy is effectively improving the structure of that brain tract.
“Because cognitive and behavioral deficits cannot be diagnosed until school age, there is an urgent need for robust early prognostic biomarkers,” said Dr. Parikh. “Our work is an important step in this direction and will facilitate early testing of neuroprotective interventions.”
(Source: nationwidechildrens.org)
Honesty beats dishonesty for making you feel good
A University of Toronto report based on two neural imaging studies that monitored brain activity has found a reward given for telling the truth gives people greater satisfaction than the same reward given for deceit.
These studies were published recently in the neuroscience journals Neuropsychologia and NeuroImage.
"Our findings together show that people typically find truth-telling to be more rewarding than lying in different types of deceptive situations,” said Professor Kang Lee,whose research is funded in part by the Social Sciences and Humanities Research Council.
The findings are based on two studies of Chinese participants using a new neuroimaging method called near-infrared spectroscopy. The studies are among the first to address the question of whether lying makes people feel better or worse than telling the truth.
The studies explored two different types of deception. In first-order deception, the recipient does not know the deceiver is lying. In second-order deception, the deceivers are fully aware that the recipient knows their intention, such as bluffing in poker.
The researchers were surprised to find that a liar’s cortical reward system was more active when a reward was gained through truth-telling than lying. This was true in both types of deception.
Researchers also found that in both types of deception, telling a lie produced greater brain activations than telling the truth in the frontal lobe, suggesting lying is cognitively more taxing than truth-telling and uses more neural resources.
The researchers hope this study will advance understanding of the neural mechanisms underlying lying, a ubiquitous and frequent human behaviour, and help to diagnose pathological liars who may have different neural responses when lying or telling the truth.
Researchers from Massachusetts Eye and Ear, Harvard Medical School, Massachusetts Institute of Technology and Massachusetts General Hospital have demonstrated, for the first time, that aspirin intake correlates with halted growth of vestibular schwannomas (also known as acoustic neuromas), a sometimes lethal intracranial tumor that typically causes hearing loss and tinnitus.

Image credit: Stanford School of Medicine/Oghalai Lab
Motivated by experiments in the Molecular Neurotology Laboratory at Mass. Eye and Ear involving human tumor specimens, the researchers performed a retrospective analysis of over 600 people diagnosed with vestibular schwannoma at Mass. Eye and Ear. Their research suggests the potential therapeutic role of aspirin in inhibiting tumor growth and motivates a clinical prospective study to assess efficacy of this well-tolerated anti-inflammatory medication in preventing growth of these intracranial tumors.
“Currently, there are no FDA-approved drug therapies to treat these tumors, which are the most common tumors of the cerebellopontine angle and the fourth most common intracranial tumors,” explains Konstantina Stankovic, M.D., Ph.D., who led the study. “Current options for management of growing vestibular schwannomas include surgery (via craniotomy) or radiation therapy, both of which are associated with potentially serious complications.”
The findings, which are described in the February issue of the journal Otology & Neurotology, were based on a retrospective series of 689 people, 347 of whom were followed with multiple magnetic resonance imaging MRI scans (50.3%). The main outcome measures were patient use of aspirin and rate of vestibular schwannoma growth measured by changes in the largest tumor dimension as noted on serial MRIs. A significant inverse association was found among aspirin users and vestibular schwannoma growth (odds ratio: 0.50, 95 percent confidence interval: 0.29-0.85), which was not confounded by age or gender.
“Our results suggest a potential therapeutic role of aspirin in inhibiting vestibular schwannoma growth,” said Dr. Stankovic, who is an otologic surgeon and researcher at Mass. Eye and Ear, Assistant Professor of Otology and Laryngology, Harvard Medical School (HMS), and member of the faculty of Harvard’s Program in Speech and Hearing Bioscience and Technology.
(Source: masseyeandear.org)
Watching Molecules Morph into Memories
In two studies in the January 24 issue of Science (1, 2), researchers at Albert Einstein College of Medicine of Yeshiva University used advanced imaging techniques to provide a window into how the brain makes memories. These insights into the molecular basis of memory were made possible by a technological tour de force never before achieved in animals: a mouse model developed at Einstein in which molecules crucial to making memories were given fluorescent “tags” so they could be observed traveling in real time in living brain cells.
Efforts to discover how neurons make memories have long confronted a major roadblock: Neurons are extremely sensitive to any kind of disruption, yet only by probing their innermost workings can scientists view the molecular processes that culminate in memories. To peer deep into neurons without harming them, Einstein researchers developed a mouse model in which they fluorescently tagged all molecules of messenger RNA (mRNA) that code for beta-actin protein – an essential structural protein found in large amounts in brain neurons and considered a key player in making memories. mRNA is a family of RNA molecules that copy DNA’s genetic information and translate it into the proteins that make life possible.
"It’s noteworthy that we were able to develop this mouse without having to use an artificial gene or other interventions that might have disrupted neurons and called our findings into question," said Robert Singer, Ph.D., the senior author of both papers and professor and co-chair of Einstein’s department of anatomy & structural biology and co-director of the Gruss Lipper Biophotonics Center at Einstein. He also holds the Harold and Muriel Block Chair in Anatomy & Structural Biology at Einstein.
In the research described in the two Science papers, the Einstein researchers stimulated neurons from the mouse’s hippocampus, where memories are made and stored, and then watched fluorescently glowing beta-actin mRNA molecules form in the nuclei of neurons and travel within dendrites, the neuron’s branched projections. They discovered that mRNA in neurons is regulated through a novel process described as “masking” and “unmasking,” which allows beta-actin protein to be synthesized at specific times and places and in specific amounts.
"We know the beta-actin mRNA we observed in these two papers was ‘normal’ RNA, transcribed from the mouse’s naturally occurring beta-actin gene," said Dr. Singer. "And attaching green fluorescent protein to mRNA molecules did not affect the mice, which were healthy and able to reproduce."
Neurons come together at synapses, where slender dendritic “spines” of neurons grasp each other, much as the fingers of one hand bind those of the other. Evidence indicates that repeated neural stimulation increases the strength of synaptic connections by changing the shape of these interlocking dendrite “fingers.” Beta-actin protein appears to strengthen these synaptic connections by altering the shape of dendritic spines. Memories are thought to be encoded when stable, long-lasting synaptic connections form between neurons in contact with each other.
The first paper describes the work of Hye Yoon Park, Ph.D., a postdoctoral student in Dr. Singer’s lab at the time and now an instructor at Einstein. Her research was instrumental in developing the mice containing fluorescent beta-actin mRNA—a process that took about three years.
Dr. Park stimulated individual hippocampal neurons of the mouse and observed newly formed beta-actin mRNA molecules within 10 to 15 minutes, indicating that nerve stimulation had caused rapid transcription of the beta-actin gene. Further observations suggested that these beta-actin mRNA molecules continuously assemble and disassemble into large and small particles, respectively. These mRNA particles were seen traveling to their destinations in dendrites where beta-actin protein would be synthesized.
In the second paper, lead author and graduate student Adina Buxbaum of Dr. Singer’s lab showed that neurons may be unique among cells in how they control the synthesis of beta-actin protein.
"Having a long, attenuated structure means that neurons face a logistical problem," said Dr. Singer. "Their beta-actin mRNA molecules must travel throughout the cell, but neurons need to control their mRNA so that it makes beta-actin protein only in certain regions at the base of dendritic spines."
Ms. Buxbaum’s research revealed the novel mechanism by which brain neurons handle this challenge. She found that as soon as beta-actin mRNA molecules form in the nucleus of hippocampal neurons and travel out to the cytoplasm, the mRNAs are packaged into granules and so become inaccessible for making protein. She then saw that stimulating the neuron caused these granules to fall apart, so that mRNA molecules became unmasked and available for synthesizing beta-actin protein.
But that observation raised a question: How do neurons prevent these newly liberated mRNAs from making more beta-actin protein than is desirable? “Ms. Buxbaum made the remarkable observation that mRNA’s availability in neurons is a transient phenomenon,” said Dr. Singer. “She saw that after the mRNA molecules make beta-actin protein for just a few minutes, they suddenly repackage and once again become masked. In other words, the default condition for mRNA in neurons is to be packaged and inaccessible.”
These findings suggest that neurons have developed an ingenious strategy for controlling how memory-making proteins do their job. “This observation that neurons selectively activate protein synthesis and then shut it off fits perfectly with how we think memories are made,” said Dr. Singer. “Frequent stimulation of the neuron would make mRNA available in frequent, controlled bursts, causing beta-actin protein to accumulate precisely where it’s needed to strengthen the synapse.”
To gain further insight into memory’s molecular basis, the Singer lab is developing technologies for imaging neurons in the intact brains of living mice in collaboration with another Einstein faculty member in the same department, Vladislav Verkhusha, Ph.D. Since the hippocampus resides deep in the brain, they hope to develop infrared fluorescent proteins that emit light that can pass through tissue. Another possibility is a fiberoptic device that can be inserted into the brain to observe memory-making hippocampal neurons.
An Auburn University researcher teamed up with the National Institutes of Health to study how brain networks shape an individual’s religious belief, finding that brain interactions were different between religious and non-religious subjects.

Gopikrishna Deshpande, an assistant professor in the Department of Electrical and Computer Engineering in Auburn’s Samuel Ginn College of Engineering, and the NIH researchers recently published their results in the journal, “Brain Connectivity.”
The group found differences in brain interactions that involved the theory of mind, or ToM, brain network, which underlies the ability to relate between one’s personal beliefs, intents and desires with those of others. Individuals with stronger ToM activity were found to be more religious. Deshpande says this supports the hypothesis that development of ToM abilities in humans during evolution may have given rise to religion in human societies.
“Religious belief is a unique human attribute observed across different cultures in the world, even in those cultures which evolved independently, such as Mayans in Central America and aboriginals in Australia,” said Deshpande, who is also a researcher at Auburn’s Magnetic Resonance Imaging Research Center. “This has led scientists to speculate that there must be a biological basis for the evolution of religion in human societies.”
Deshpande and the NIH scientists were following up a study reported in the Proceedings of the National Academy of Sciences, which used functional magnetic resonance imaging, or fMRI, to scan the brains of both self-declared religious and non-religious individuals as they contemplated three psychological dimensions of religious beliefs.
The fMRI – which allows researchers to infer specific brain regions and networks that become active when a person performs a certain mental or physical task – showed that different brain networks were activated by the three psychological dimensions; however, the amount of activation was not different in religious as compared to non-religious subjects.
(Source: wireeagle.auburn.edu)
We use both sides of our brain for speech, a finding by researchers at New York University and NYU Langone Medical Center that alters previous conceptions about neurological activity. The results, which appear in the journal Nature, also offer insights into addressing speech-related inhibitions caused by stroke or injury and lay the groundwork for better rehabilitation methods.

“Our findings upend what has been universally accepted in the scientific community—that we use only one side of our brains for speech,” says Bijan Pesaran, an associate professor in NYU’s Center for Neural Science and the study’s senior author. “In addition, now that we have a firmer understanding of how speech is generated, our work toward finding remedies for speech afflictions is much better informed.”
Many in the scientific community have posited that both speech and language are lateralized—that is, we use only one side of our brains for speech, which involves listening and speaking, and language, which involves constructing and understanding sentences. However, the conclusions pertaining to speech generally stem from studies that rely on indirect measurements of brain activity, raising questions about characterizing speech as lateralized.
To address this matter, the researchers directly examined the connection between speech and the neurological process.
Specifically, the study relied on data collected at NYU ECoG, a center where brain activity is recorded directly from patients implanted with specialized electrodes placed directly inside and on the surface of the brain while the patients are performing sensory and cognitive tasks. Here, the researchers examined brain functions of patients suffering from epilepsy by using methods that coincided with their medical treatment.
“Recordings directly from the human brain are a rare opportunity,” says Thomas Thesen, director of the NYU ECoG Center and co-author of the study.
“As such, they offer unparalleled spatial and temporal resolution over other imaging technologies to help us achieve a better understanding of complex and uniquely human brain functions, such as language,” adds Thesen, an assistant professor at NYU Langone.
In their examination, the researchers tested the parts of the brain that were used during speech. Here, the study’s subjects were asked to repeat two “non-words”—“kig” and “pob.” Using non-words as a prompt to gauge neurological activity, the researchers were able to isolate speech from language.
An analysis of brain activity as patients engaged in speech tasks showed that both sides of the brain were used—that is, speech is, in fact, bi-lateral.
“Now that we have greater insights into the connection between the brain and speech, we can begin to develop new ways to aid those trying to regain the ability to speak after a stroke or injuries resulting in brain damage,” observes Pesaran. “With this greater understanding of the speech process, we can retool rehabilitation methods in ways that isolate speech recovery and that don’t involve language.”
(Source: nyu.edu)