Multiplex dynamic networks in the newborn brain disclose latent links with neurobehavioral phenotypes

Author:

Al‐Sa'd Mohammad123ORCID,Vanhatalo Sampsa12ORCID,Tokariev Anton12ORCID

Affiliation:

1. BABA Center, Pediatric Research Center, Department of Clinical Neurophysiology, Children's Hospital, HUS imaging, HUS Diagnostic Center University of Helsinki and Helsinki University Hospital Helsinki Finland

2. Department of Physiology University of Helsinki Helsinki Finland

3. Faculty of Information Technology and Communication Sciences Tampere University Tampere Finland

Abstract

AbstractThe higher brain functions arise from coordinated neural activity between distinct brain regions, but the spatial, temporal, and spectral complexity of these functional connectivity networks (FCNs) has challenged the identification of correlates with neurobehavioral phenotypes. Characterizing behavioral correlates of early life FCNs is important to understand the activity dependent emergence of neurodevelopmental performance and for improving health outcomes. Here, we develop an analysis pipeline for identifying multiplex dynamic FCNs that combine spectral and spatiotemporal characteristics of the newborn cortical activity. This data‐driven approach automatically uncovers latent networks that show robust neurobehavioral correlations and consistent effects by in utero drug exposure. Altogether, the proposed pipeline provides a robust end‐to‐end solution for an objective assessment and quantitation of neurobehaviorally meaningful network constellations in the highly dynamic cortical functions.

Funder

Orionin Tutkimussäätiö

Suomen Aivosäätiö

Sigrid Juséliuksen Säätiö

Lastentautien Tutkimussäätiö

Publisher

Wiley

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