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Spontaneous Brain Dynamics Associated with Acceleration of Long-Term Functional Connectome in Postnatal Development

Year: 2025

Type: conference-paper

Abstract: ABSTRACT The first six postnatal months are a critical period for brain development, marked by rapid changes in functional neural circuits. However, long-term changes in neonatal functional connectome lacks an interpretive imaging indicator for the future development due to the non-linearity characteristics. In this study, we introduce an approach to extract intrinsic brain states from short-term brain dynamics to study the long-term (longitudinal) development. We found a high association (r=0.460) between the co-activated pattern of specific brain state and the acceleration pattern of non-linear development of static functional connectome. The fractional occupancy, self-sustaining probability of this short-term state share the similar age tendency with the long-term change rate within the majority of the function connectome. These findings suggest that short-term brain dynamics could serve as potential biomarkers for predicting the long-term development of functional connectome.

Source: IEEE International Symposium on Biomedical Imaging (ISBI)

DOI: 10.1109/isbi60581.2025.10980929

Authors: Liang Ma, Sarah Shultz, Zening Fu, Masoud Seraji, Armin Iraji, Vince Calhoun

Institutions: Georgia Institute of Technology, Emory University, Georgia State University, Center for Translational Research in Neuroimaging and Data Science, Children's Healthcare of Atlanta

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4410295200

FWCI: 4.69

Cites: 10

Cited by: 2

Related to: 10