Breaking News
January 18, 2019 - Researchers develop artificial enzymatic pathway for synthesizing isoprenoids in E. coli
January 18, 2019 - Scientists advise caution in immunotherapy research
January 18, 2019 - How children across the world develop language
January 18, 2019 - Columbia Medical Student Receives McDonogh Scholarship
January 18, 2019 - Secretive ‘Rebate Trap’ Keeps Generic Drugs For Diabetes And Other Ills Out Of Reach
January 18, 2019 - Plant based diet could be the best option for the planet says commission
January 18, 2019 - New conservation practice could reduce nitrogen from agricultural drainage, study shows
January 18, 2019 - UIC researchers receive $1.7 million NCI grant to study Southeast Asian fruit
January 18, 2019 - New study determines the fate of DNA derived from genetically modified food
January 18, 2019 - Scientists develop new gene therapy that prevents axon destruction in mice
January 18, 2019 - Study finds critically low HPV vaccination rates among younger adolescents in the U.S.
January 18, 2019 - Brain cells involved in memory play key role in reducing future eating behavior
January 18, 2019 - Risk for Conversion of MS Varies With Different Therapies
January 18, 2019 - Investigational cream may help patients with inflammatory skin disease
January 18, 2019 - Medical school news office receives six writing awards | News Center
January 18, 2019 - County By County, Researchers Link Opioid Deaths To Drugmakers’ Marketing
January 18, 2019 - Research reveals risk for developing more than one mental health disorder
January 18, 2019 - Scientists discover a dramatic pattern of bone growth in female mice
January 18, 2019 - Study finds link between lengthy periods of undisturbed maternal sleep and stillbirths
January 18, 2019 - New nuclear medicine method could improve detection of primary and metastatic melanoma
January 18, 2019 - Combination therapy shows high efficacy in treating people with leishmaniasis and HIV
January 18, 2019 - Health Tip: Don’t Ignore Changes in Skin Color
January 18, 2019 - Dietary Recommendations for Healthy Children
January 18, 2019 - Eliminating the latent reservoir of HIV
January 18, 2019 - Pain From The Government Shutdown Spreads. This Time It’s Food Stamps
January 18, 2019 - Newly discovered regulatory mechanism helps control fat metabolism
January 18, 2019 - New rapid blood tests could speed up TB diagnosis, save the NHS money
January 18, 2019 - Researchers develop intelligent system for ‘tuning’ powered prosthetic knees
January 18, 2019 - Monoclonal antibody pembrolizumab prolongs survival in patients with squamous cell carcinoma
January 18, 2019 - New research detects mosquito known to transmit malaria for the first time in Ethiopia
January 18, 2019 - ACCC survey finds multiple threats to growth of cancer programs
January 18, 2019 - Meeting the challenge of engaging men in HIV prevention and treatment
January 18, 2019 - Furloughed Feds’ Health Coverage Intact, But Shutdown Still Complicates Things
January 18, 2019 - Experts discuss various aspects on health risks posed by fumigated containers
January 18, 2019 - Researchers use gene-editing tool CRISPR/Cas9 to limit impact of parasitic diseases
January 18, 2019 - Alpha neurofeedback training could be a means of enhancing learning success
January 18, 2019 - Innovative ‘light’ method demonstrates positive results in fight against malignant tumors
January 18, 2019 - The cytoskeleton of neurons found to play role in Alzheimer’s disease
January 18, 2019 - New resource-based approach to improve HIV care in low- and middle-income countries
January 18, 2019 - Bedfont appoints Dr Jafar Jafari as first member of the Gastrolyzer Medical Advisory Board
January 18, 2019 - New study shows link between secondhand smoke and cardiac arrhythmia
January 18, 2019 - DZIF scientists reveal problems with available diagnostics for Zika and chikungunya virus
January 18, 2019 - Breast cancers more likely to metastasize in young women within 10 years of giving birth
January 18, 2019 - Over 5.6 million Americans exposed to high nitrate levels in drinking water
January 18, 2019 - Blood vessels can now be created perfectly in a petri dish
January 18, 2019 - Study identifies prominent socioeconomic and racial disparities in health behavior in Indiana
January 18, 2019 - Young-Onset Type 2 Diabetes Tied to Increased Hospitalization Risk
January 18, 2019 - For-profit nursing schools associated with lower performance on nurse licensure test
January 18, 2019 - Considering the culture of consent in medicine
January 18, 2019 - Researchers identify comprehensive guidelines for managing severe atopic dermatitis
January 18, 2019 - Analyzing proteins in blister fluid may classify burn severity more accurately
January 18, 2019 - Study finds higher suicide rates among youth who were Medicaid enrollees
January 18, 2019 - Opioid drugs often overprescribed to children for pain relief, say CHOP surgeons
January 18, 2019 - New biodegradable wound dressing material accelerates healing
January 18, 2019 - Life in Space May Take Toll on Spinal Muscles
January 18, 2019 - Bulldogs’ screw tails linked to human genetic disease
January 18, 2019 - Immunotherapy target identified for pediatric cancers
January 18, 2019 - Financial stress may increase heart disease risk in African Americans
January 18, 2019 - Scientists solve another piece of Ebola virus puzzle
January 18, 2019 - New project finds how endocrine disruptors interfere with thyroid functions
January 18, 2019 - Research finds decline in ketone body utilization when coronary circulation is reduced
January 18, 2019 - Let’s map our DNA and save billions each year in health costs
January 18, 2019 - AI demonstrates potential to identify irregular heart rhythms as well as humans
January 17, 2019 - Study shows link between air pollution and increased risk of sleep apnea
January 17, 2019 - Neck-strengthening exercises can protect athletes from concussions
January 17, 2019 - Computer model shows how to better control MRSA outbreaks
January 17, 2019 - Pain is unpleasant, and now scientists have identified the set of responsible neurons
January 17, 2019 - CUIMC Celebrates 2018-2019
January 17, 2019 - Study reveals potential pathway for endothelial cells to avoid apoptosis
January 17, 2019 - Hamilton Storage launches LabElite DeCapper SL to expand LabElite product family
January 17, 2019 - Location of epigenetic changes co-locate with genetic signal causing psychartric disorder
January 17, 2019 - Researchers awarded 6.1 million euros to address female fertility problems
January 17, 2019 - Counseling appointments fail to reduce weight gain during pregnancy, shows study
January 17, 2019 - Contraceptive patch that could provide 6 months of contraception within seconds
January 17, 2019 - Yeast model may pave way for development of novel therapies for metabolic disorders
January 17, 2019 - Study determines impact of antibiotic perturbation of the gut microbiome on skeletal health
January 17, 2019 - Cardiometabolic Risk Up With Tourette, Chronic Tic Disorder
January 17, 2019 - Hong Kong scientists claim ‘broad-spectrum’ antiviral breakthrough
January 17, 2019 - Researchers discover the brain cells that make pain unpleasant | News Center
January 17, 2019 - Hepatitis Is Common in New Cancer Patients
Researchers employ machine learning to uncover new insights into human brain’s cellular architecture

Researchers employ machine learning to uncover new insights into human brain’s cellular architecture

image_pdfDownload PDFimage_print

An inter-disciplinary research team led by scientists from the National University of Singapore (NUS) has successfully employed machine learning to uncover new insights into the cellular architecture of the human brain.

The team demonstrated an approach that automatically estimates parameters of the brain using data collected from functional magnetic resonance imaging (fMRI), enabling neuroscientists to infer the cellular properties of different brain regions without probing the brain using surgical means. This approach could potentially be used to assess treatment of neurological disorders, and to develop new therapies.

“The underlying pathways of many diseases occur at the cellular level, and many pharmaceuticals operate at the microscale level. To know what really happens at the innermost levels of the human brain, it is crucial for us to develop methods that can delve into the depths of the brain non-invasively,” said team leader Assistant Professor Thomas Yeo, who is from the Singapore Institute for Neurotechnology (SINAPSE) at NUS, and the A*STAR-NUS Clinical Imaging Research Centre (CIRC).

The new study, conducted in collaboration with researchers from the Netherlands and Spain was first reported online in scientific journal Science Advances on 9 January 2019.

Unraveling the complexity of the human brain

The brain is the most intricate organ of the human body, and it is made up of 100 billion nerve cells that are in turn connected to around 1,000 others. Any damage or disease affecting even the smallest part of the brain could lead to severe impairment.

Currently, most human brain studies are limited to non-invasive approaches, such as magnetic resonance imaging (MRI). This limits the examination of the human brain at the cellular level, which may offer novel insights into the development, and potential treatment, of various neurological diseases.

Different research teams around the world have harnessed biophysical modelling to bridge this gap between non-invasive imaging and cellular understanding of the human brain. The biophysical brain models could be used to simulate brain activity, enabling neuroscientists to gain insights into the brain. However, many of these models rely on overly simplistic assumptions, such as, all brain regions have the same cellular properties, which scientists have known to be false for more than 100 years.

Constructing virtual brain models

Asst Prof Yeo and his team worked with researchers from Universitat Pompeu Fabra, Universitat Barcelona and University Medical Center Utrecht to analyze imaging data from 452 participants of the Human Connectome Project. Departing from previous modeling work, they allowed each brain region to have distinct cellular properties and exploited machine learning algorithms to automatically estimate the model parameters.

“Our approach achieves a much better fit with real data. Furthermore, we discovered that the micro-scale model parameters estimated by the machine learning algorithm reflect how the brain processes information,” said Dr Peng Wang, who is the first author of the paper, and had conducted the study when he was a postdoctoral researcher in Asst Prof Yeo’s team.

The research team found that brain regions involved in sensory perception, such as vision, hearing and touch, exhibit cellular properties opposite from brain regions involved in internal thought and memories. The spatial pattern of the human brain’s cellular architecture closely reflects how the brain hierarchically processes information from the surroundings. This form of hierarchical processing is a key feature of both the human brain and recent advances in artificial intelligence.

“Our study suggests that the processing hierarchy of the brain is supported by micro-scale differentiation among its regions, which may provide further clues for breakthroughs in artificial intelligence,” said Asst Prof Yeo, who is also with the Department of Electrical and Computer Engineering at the NUS Faculty of Engineering.

Next steps

Moving forward, the NUS team plans to apply their approach to examine the brain data of individual participants, to better understand how individual variation in the brain’s cellular architecture may relate to differences in cognitive abilities. The team hopes that these latest results can be a step toward the development of individualized treatment plans with specific drugs or brain stimulation strategies.

Source:

http://news.nus.edu.sg/press-releases/machine-learning-new-insights-brain

Tagged with:

About author

Related Articles