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

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.

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Published
2025-04-14
DOI
https://doi.org/10.1109/isbi60581.2025.10980929
Citations
1
Primary Topic
Functional Brain Connectivity Studies
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article
Field-Weighted Citation Impact
1.43
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article

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

Sarah Shultz, Zening Fu, Vince D. Calhoun, Masoud Seraji et al.
1 citations
Functional Brain Connectivity Studies
1.43
article

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

Sarah Shultz, Zening Fu, Vince D. Calhoun, Masoud Seraji, Armin Iraji, Liang Ma
article en
1 citations

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.

Georgia Institute of Technology (US), Emory University (US), Georgia State University (US), Center for Translational Research in Neuroimaging and Data Science (US), Children's Healthcare of Atlanta (US)
Openalex Percentile: Top 20%
Functional Brain Connectivity Studies
1.43
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Spontaneous Brain Dynamics Associated with Acceleration of Long-Term Functional Connectome in Postnatal Development — Sarah Shultz, Zening Fu, et al. · (2025) | TGRS Research Map | TGRS