Sentences with phrase «brain scan data»

Varun Warrier added: «We now need to confirm these results using new genetic and brain scan data so as to understand how exactly gene activity and thickness of the cortex are linked in autism.»

Dresler and his team are still analyzing their brain scan data to learn more about the differences in brain connectivity patterns they found and how they affect memory.

Based on the results of that test, Beaty and colleagues developed a predictive model and tested against brain scan data collected for earlier studies on creativity.

Not exact matches

Researchers used health data gathered during recent personal interviews with the subjects, and also analyzed data from MRI scans showing the current state of the subjects» brain cortices.

Using data from National Database for Autism Research (NDAR), lead author Kristina Denisova, PhD, Assistant Professor of Psychiatry at CUMC and Fellow at the Sackler Institute, studied 71 high and low risk infants who underwent two functional Magnetic Resonance imaging brain scans either at 1 - 2 months or at 9 - 10 months: one during a resting period of sleep and a second while native language was presented to the infants.

The researchers fed the data from the scans into a machine - learning computer program, which eventually could identify which concept a volunteer was thinking about based on his or her brain activity.

But the current stance of our major research institutions maintains that, given time, the ever - accelerating juggernaut of data from yet more genomic (and proteomic) projects and brain - scanning studies might somehow drive a causeway of understanding through these so unexpected findings.

«Measuring damage to brain networks may aid stroke treatment, predict recovery: Functional MRI scans provide crucial data for stroke patients.»

Dr Vera Weisbecker of UQ's School of Biological Sciences said the study represented the first dataset comparing brain growth in different mammals, gathered through a novel method of non-invasive micro-CT (computed tomography) scanning which allowed the fast data acquisition of soft tissue growth in tiny mammals.

Mammalian brain growth is studied in this paper which shows that a widely accepted hypothesis of how the mammalian brain proportions grow and evolve does not work, using a novel method of micro-CT scan that allows the first fast data acquisition of soft tissue growth in tiny mammals.

From left, doctoral student Haiguang Wen, assistant professor Zhongming Liu and former graduate student Junxing Shi, review fMRI data of brain scans.

Initial results are promising, but it will take a few years and additional funding to complete reanalysis of the thousands of brain scans previously compiled through Dr. Filbey's research as well as data from consortia to which Dr. Filbey belongs.

This hypothesis is supported by several observations so we decided to test it by scanning the brains of individuals of varying age with functional magnetic resonance imaging and analysing the data both with fApEn and SampEn.»

Using two data sets of functional MRI brain scans from more than 350 adult and child siblings during resting state, Fair and colleagues applied an innovative technique to characterize functional connectivity and machine learning to successfully identify siblings based on their connectotype.

Using CT scans, the scientists painstakingly mapped the affected brain regions of each participant, then pooled the data to build a collective map of the brain.

In addition to collecting scans of brain structure and function, the research teams at 21 study sites around the country will regularly gather a trove of other information from each youngster, from psychological, cognitive, and environmental data to biological specimens such as DNA.

«ENIGMA's scientists screen brain scans and genomes worldwide for factors that help or harm the brain — this crowd - sourcing and sheer wealth of data gives us the power to crack the brain's genetic code,» said Paul Thompson, Ph.D., Keck School of Medicine of USC professor and principal investigator of ENIGMA.

«Data for brain scanning are noisy for an individual,» he says.

An international team of roughly 300 scientists known as the Enhancing Neuro Imaging Genetics through Meta Analysis (ENIGMA) Network pooled brain scans and genetic data worldwide to pinpoint genes that enhance or break down key brain regions in people from 33 countries.

As the initial brain - scan data flooded in, it made her imagine the mind as a sort of muscle system that relied on opposing forces.

Data from brain scans may also prove useful for assessing a treatment's effectiveness, says Pelphrey, who has worked with Piven's team in the past.

By doing so, all researchers will have «access to the tissue samples in MNI's biobank and to its extensive databank of brain scans and other data.»

Inside its three - story metal sphere researchers can interpret and interact with their data in new and intriguing ways, including watching electrons spin from inside an atom or «flying» through an MRI scan of a patient's brain as blood density levels play as music.

«If you want to discover genes that affect the brain, the only way we know how to do that is by analyzing tens of thousands of brain scans and their corresponding genetic data.

A group of well - known companies aims to be the first to analyse brain scans together with genomic, clinical and phenotypic data to study neurodegenerative diseases at a population level, then distil it down to an individual's personal treatment plan.

Apparently in February 2008 Cedars - Sinai radiologists overrode the default settings on a CT scanner used for the brain scans, hoping to obtain clearer data.

Four couples dropped out of therapy and therefore did not complete the post EFT scan, two couples were dropped for missing data, and one other was dropped whose overall threat - related brain activation in a variety of regions was an extreme a statistical outlier (e.g., greater than three standard deviations below the average of the rest of the sample).

Design, Setting, and Participants Longitudinal cohort study analyzing 823 magnetic resonance imaging scans of 389 typically developing children and adolescents aged 4 to 22 years from the National Institutes of Health Magnetic Resonance Imaging Study of Normal Brain Development with complete sociodemographic and neuroimaging data.