Individual functional parcellation revealed compensation of dynamic limbic network organization in healthy ageing

Tiantian Liu, Zhongyan Shi, Jian Zhang, Kexin Wang, Yuanhao Li, Guangying Pei, Li Wang, Jinglong Wu, Tianyi Yan



Using group-level functional parcellations and constant-length sliding window analysis, dynamic functional connectivity studies have revealed network-specific impairment and compensation in healthy ageing. However, functional parcellation and dynamic time windows vary across individuals; individual-level ageing-related brain dynamics are uncertain. Here, we performed individual parcellation and individual-length sliding window clustering to characterize ageing-related dynamic network changes. Healthy participants (n = 637, 18–88 years) from the Cambridge Centre for Ageing and Neuroscience dataset were included. An individual seven-network parcellation, varied from group-level parcellation, was mapped for each participant. For each network, strong and weak cognitive brain states were revealed by individual-length sliding window clustering and canonical correlation analysis. The results showed negative linear correlations between age and change ratios of sizes in the default mode, frontoparietal, and salience networks and a positive linear correlation between age and change ratios of size in the limbic network (LN). With increasing age, the occurrence and dwell time of strong states showed inverted U-shaped patterns or a linear decreasing pattern in most networks but showed a linear increasing pattern in the LN. Overall, this study reveals a compensative increase in emotional networks (i.e., the LN) and a decline in cognitive and primary sensory networks in healthy ageing. These findings may provide insights into network-specific and individual-level targeting during neuromodulation in ageing and ageing-related diseases.

ジャーナルHuman Brain Mapping
出版ステータスPublished - 2月 1 2023

ASJC Scopus subject areas

  • 解剖学
  • 放射線技術および超音波技術
  • 放射線学、核医学およびイメージング
  • 神経学
  • 臨床神経学


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