Personalized connectome fingerprints: Their importance in cognition from childhood to adult years

Structural neural network architecture patterns in the human brain could be related to individual differences in phenotype, behavior, genetic determinants, and clinical outcomes from neuropsychiatric disorders. Recent studies have indicated that a personalized neural (brain) fingerprint can be ident...

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Main Authors: B.C. Munsell, E. Gleichgerrcht, E. Hofesmann, J. Delgaizo, C.R. McDonald, B. Marebwa, M.A. Styner, J. Fridriksson, C. Rorden, N.K. Focke, J.H. Gilmore, L. Bonilha
Format: Article
Language:English
Published: Elsevier 2020-11-01
Series:NeuroImage
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Online Access:http://www.sciencedirect.com/science/article/pii/S105381192030608X
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author B.C. Munsell
E. Gleichgerrcht
E. Hofesmann
J. Delgaizo
C.R. McDonald
B. Marebwa
M.A. Styner
J. Fridriksson
C. Rorden
N.K. Focke
J.H. Gilmore
L. Bonilha
author_facet B.C. Munsell
E. Gleichgerrcht
E. Hofesmann
J. Delgaizo
C.R. McDonald
B. Marebwa
M.A. Styner
J. Fridriksson
C. Rorden
N.K. Focke
J.H. Gilmore
L. Bonilha
author_sort B.C. Munsell
collection DOAJ
description Structural neural network architecture patterns in the human brain could be related to individual differences in phenotype, behavior, genetic determinants, and clinical outcomes from neuropsychiatric disorders. Recent studies have indicated that a personalized neural (brain) fingerprint can be identified from structural brain connectomes. However, the accuracy, reproducibility and translational potential of personalized fingerprints in terms of cognition is not yet fully determined. In this study, we introduce a dynamic connectome modeling approach to identify a critical set of white matter subnetworks that can be used as a personalized fingerprint. Several individual variable assessments were performed that demonstrate the accuracy and practicality of personalized fingerprint, specifically predicting the identity and IQ of middle age adults, and the developmental quotient in toddlers. Our findings suggest the fingerprint found by our dynamic modeling approach is sufficient for differentiation between individuals, and is also capable of predicting general intellectual ability across human development.
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spelling doaj.art-a5e033a0a39142428d4bf044f678f5c72022-12-21T18:35:11ZengElsevierNeuroImage1095-95722020-11-01221117122Personalized connectome fingerprints: Their importance in cognition from childhood to adult yearsB.C. Munsell0E. Gleichgerrcht1E. Hofesmann2J. Delgaizo3C.R. McDonald4B. Marebwa5M.A. Styner6J. Fridriksson7C. Rorden8N.K. Focke9J.H. Gilmore10L. Bonilha11University of North Carolina, Department of Psychiatry, USA; University of North Carolina, Department of Computer Science, USA; Corresponding author. University of North Carolina, Department of Psychiatry, USA.Medical University of South Carolina, Department of Neurology, USAUniversity of Michigan, Department of Electrical Engineering and Computer Science, USAMedical University of South Carolina, Department of Neurology, USAUniversity of California San Diego, Department of Psychiatry, USAMedical University of South Carolina, Department of Neurology, USAUniversity of North Carolina, Department of Psychiatry, USA; University of North Carolina, Department of Computer Science, USAUniversity of South Carolina, Department of Communication Sciences & Disorders, USAUniversity of South Carolina, Department of Psychology, USAUniversity of Göttingen, Department of Clinical Neurophysiology, GermanyUniversity of North Carolina, Department of Psychiatry, USAMedical University of South Carolina, Department of Neurology, USAStructural neural network architecture patterns in the human brain could be related to individual differences in phenotype, behavior, genetic determinants, and clinical outcomes from neuropsychiatric disorders. Recent studies have indicated that a personalized neural (brain) fingerprint can be identified from structural brain connectomes. However, the accuracy, reproducibility and translational potential of personalized fingerprints in terms of cognition is not yet fully determined. In this study, we introduce a dynamic connectome modeling approach to identify a critical set of white matter subnetworks that can be used as a personalized fingerprint. Several individual variable assessments were performed that demonstrate the accuracy and practicality of personalized fingerprint, specifically predicting the identity and IQ of middle age adults, and the developmental quotient in toddlers. Our findings suggest the fingerprint found by our dynamic modeling approach is sufficient for differentiation between individuals, and is also capable of predicting general intellectual ability across human development.http://www.sciencedirect.com/science/article/pii/S105381192030608XStructural connectivityConnectome fingerprintingNetwork analysisDevelopmental neuroscienceNeurological identity and function
spellingShingle B.C. Munsell
E. Gleichgerrcht
E. Hofesmann
J. Delgaizo
C.R. McDonald
B. Marebwa
M.A. Styner
J. Fridriksson
C. Rorden
N.K. Focke
J.H. Gilmore
L. Bonilha
Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
NeuroImage
Structural connectivity
Connectome fingerprinting
Network analysis
Developmental neuroscience
Neurological identity and function
title Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
title_full Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
title_fullStr Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
title_full_unstemmed Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
title_short Personalized connectome fingerprints: Their importance in cognition from childhood to adult years
title_sort personalized connectome fingerprints their importance in cognition from childhood to adult years
topic Structural connectivity
Connectome fingerprinting
Network analysis
Developmental neuroscience
Neurological identity and function
url http://www.sciencedirect.com/science/article/pii/S105381192030608X
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