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...
Main Authors: | , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2020-11-01
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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. |
first_indexed | 2024-12-22T06:49:50Z |
format | Article |
id | doaj.art-a5e033a0a39142428d4bf044f678f5c7 |
institution | Directory Open Access Journal |
issn | 1095-9572 |
language | English |
last_indexed | 2024-12-22T06:49:50Z |
publishDate | 2020-11-01 |
publisher | Elsevier |
record_format | Article |
series | NeuroImage |
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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