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Abstract #3551

Do Infants Exhibit Adult-like Multi-scale Functional Networks?

Prerana Bajracharya1, Vince Calhoun1, Sarah Shultz2, and Armin Iraji1
1The Tri-Institutional Georgia State University/Georgia Institute of Technology/Emory University Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University (GSU), Atlanta, GA, United States, 2Pediatrics, Emory University School of Medicine, Atlanta, GA, United States

Synopsis

Keywords: fMRI Analysis, fMRI (resting state), Infants, independent component analysis

Motivation: Despite two decades of infant rsfMRI studies, no comprehensive research has mapped functional networks in infants, which are widely studied as essential networks in adults.

Goal(s): To provide a holistic view of multi-scale network existence in infants using robust methods and to explore any age-related associations with these identified networks.

Approach: We apply a novel blind approach and a reference-informed method, with a template derived from 100k+ subjects, to identify functional networks in infants. We assess functional network connectivity and examine their age associations.

Results: The study confirms that adult-like networks are present during infancy and continue to develop and mature with age.

Impact: This study provides foundational insights into early brain network development, aiding clinicians and researchers in understanding infant neurodevelopment. It opens avenues for age-related biomarkers in the early diagnosis of developmental disorders, enhancing intervention timing and strategies.

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