Functional connectivity in brain known as connectotype or brain fingerprint has a distinct pattern for every individual and each connectotype demonstrates familial and heritable relationships, reveals a new study.
The new study was conducted at OHSU in Portland, Oregon and the results were published in Network Neuroscience.
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‘As each individuals functional connectivity in brain varies, it helps to easily identify the altered brain activity and develop treatment for mental or neurological conditions.’
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"Similar to DNA, specific brain systems and connectivity patterns are passed down from adults to their children," said the study's principal investigator Damien Fair, Ph.D., P.A.-C., associate professor of behavioral neuroscience and psychiatry, OHSU School of Medicine.
"This is significant because it may help us to better characterize aspects of altered brain activity, development or disease."
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.
![Patterns of Brain Activity Direct Our Body Movements]( "Patterns of Brain Activity Direct Our Body Movements")
Brain is extremely sensitive and delicate, and so requires maximum protection. All movements require an extraordinary choreography between the brain and body.
Through a similar process, the team also distinguished individual sibling and twin pairs from unrelated pairs in both children and adults.
"This confirms that while unique to each individual, some aspects of the family connectome are inherited and maintained throughout development and may be useful as early biomarkers of mental or neurological conditions," said lead author Oscar Miranda-Dominguez, Ph.D., research assistant professor of behavioral neuroscience, OHSU School of Medicine.
Overall, the connectotype demonstrated heritability within five brain systems, the most prominent being the frontoparietal cortex, or the part of the brain that filters incoming information.
The dorsal attention and default systems, important for attention or focus and internal mental thoughts or rumination, respectively, also showed significant occurrences.
"These findings add to the way we think about normal and altered brain function," said Fair.
"Further, it creates more opportunity for personalized and targeted treatment approaches for conditions such as ADHD or autism."
Source: Eurekalert
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.
Patterns of Brain Activity Direct Our Body Movements
Brain is extremely sensitive and delicate, and so requires maximum protection. All movements require an extraordinary choreography between the brain and body.
Advertisement
Through a similar process, the team also distinguished individual sibling and twin pairs from unrelated pairs in both children and adults.
"This confirms that while unique to each individual, some aspects of the family connectome are inherited and maintained throughout development and may be useful as early biomarkers of mental or neurological conditions," said lead author Oscar Miranda-Dominguez, Ph.D., research assistant professor of behavioral neuroscience, OHSU School of Medicine.
Overall, the connectotype demonstrated heritability within five brain systems, the most prominent being the frontoparietal cortex, or the part of the brain that filters incoming information.
The dorsal attention and default systems, important for attention or focus and internal mental thoughts or rumination, respectively, also showed significant occurrences.
"These findings add to the way we think about normal and altered brain function," said Fair.
"Further, it creates more opportunity for personalized and targeted treatment approaches for conditions such as ADHD or autism."
Source: Eurekalert
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