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

Journal: NeuroImage
Published Date: Nov 1, 2020

Abstract

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.

Authors

  • B C Munsell
    College of Charleston, Department of Computer Science, Charleston, SC, USA. Electronic address: munsellb@cofc.edu.
  • E Gleichgerrcht
    Medical University of South Carolina, Department of Neurology, USA.
  • E Hofesmann
    University of Michigan, Department of Electrical Engineering and Computer Science, USA.
  • J Delgaizo
    Medical University of South Carolina, Department of Neurology, USA.
  • C R McDonald
    University of California San Diego, Department of Psychiatry, USA.
  • B Marebwa
    Medical University of South Carolina, Department of Neurology, USA.
  • M A Styner
    University of North Carolina, Department of Psychiatry, USA; University of North Carolina, Department of Computer Science, USA.
  • J Fridriksson
    University of South Carolina, Department of Communication Sciences and Disorders, Columbia, SC, USA.
  • C Rorden
    University of South Carolina, Department of Psychology, USA.
  • N K Focke
    University of Göttingen, Department of Clinical Neurophysiology, Germany.
  • J H Gilmore
    University of North Carolina, Department of Psychiatry, USA.
  • L Bonilha
    Medical University of South Carolina, Department of Neurology, Charleston, SC, USA.

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