Brain Functional Connectivity May Help Detect Mental Disorders

Resting-state functional connectivity MRI which detects fluctuations in blood supply may provide a critical and rich source of disease-relate variability.

A technique called resting-state functional connectivity MRI (rsfcMRI), which measures how spontaneous fluctuations in blood oxygen level-dependent signals are coordinated across the brain helps study how the brain circuits function together tosupport human behavior.

Analysis of rsfcMRI and other data in large numbers of subjects from the HCP will provide new insights into a wide range of psychiatric disorders, such as depression and anxiety, substance use, and cognitive impairment.

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‘Spontaneous activity from networks of regions across the brain are highly correlated even at rest that is, when the person is not performing a specifically targeted task.’

Recent studies have found that spontaneous activity from networks of regions across the brain are highly correlated even at rest (that is, when the person is not performing a specifically targeted task).

This "resting state" activity may consume around 20 percent of the body's total energy--even though the brain is only two percent of total body mass, according to Dr. Barch. "Ongoing resting-state activity may provide a critical and rich source of disease-relate variability."

One key question is what constitutes the "regions" that make up the neural circuits of the brain. Recent rsfcMRI mapping studies have identified between 180 and 356 different brain regions, including many common regions that can be mapped across individuals.

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Future studies will look at whether these regions differ in shape, size, or location in people with psychiatric disorders--and whether these differences contribute to changes in the formation and function of brain circuits.

Some brain networks identified by rsfcMRI may play important roles in the functions and processes commonly impaired in psychiatric disorders. These include networks involved in cognitive (thinking) function, attention to internal emotional states, and the "salience" of events in the environment. Many questions remain as to how these brain networks are related to behavior in general, and to psychiatric disorders in particular.

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Some researchers are using HCP data to study behavioral factors relevant to psychiatric issues, including cognitive function, mood, emotions, and substance use/abuse. Other studies are looking for rsfcMRI patterns related to individual differences in depression or anxiety, and their connections to various brain networks.

Dr. Barch's research focuses on brain networks affecting the relationship between cognitive function and "psychotic-like" experiences. She notes that work on individual differences in functional connectivity in the HCP dataset is just getting started--the full HCP dataset was made publicly available in the spring of 2017.

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"The hope is that these analyses will shed new light on how behavior of many different forms is related to functional brain connectivity, ultimately providing a new window for understanding psychopathology," Dr. Barch writes.

Continued studies of the relationships between brain circuitry and behavior might eventually lead to new therapeutic targets and new approaches to treatment monitoring and selection for patients with psychiatric disorders.

Source-Eurekalert