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Abstract #1343

The Primary-association Gradient across the Human Lifespan

Qiongling Li1, Lianglong Sun1, Debin Zeng2, Xinyuan Liang1, Mingrui Xia1, Shuyu Li1, and Yong He1
1Beijing Normal University, Beijing, China, 2Beihang University, Beijing, China

Synopsis

Keywords: Functional Connectivity, Functional Connectivity, cortical gradient;human lifespan

Motivation: While prior studies have documented age-related changes in the primary-association gradient using functional MRI data, several gaps remain.

Goal(s): A continuous understanding of the functional primary-association gradient, based on large sample sizes, advanced processing methods, standard statistical frameworks, and comprehensive validation analyses, is critically needed.

Approach: Functional connectomes were constructed by calculating the pairwise correlation coefficient between the time series of all vertices . Using diffusion map embedding, we derived functional gradients from age-specific group-level functional connectome and individual functional connectome respectively.

Results: We delineate the growth of functional connectome gradients, and its underlying structural mechanisms and supports for cognitive spectrum across the lifespan.

Impact: Results advance our understanding of the lifespan changes in topographic organization of the human brain and its impact on cognitive spectrum.

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