Structural covariance changes in major cortico-basal ganglia and thalamic networks in amyloid-positive patients with white matter hyperintensities

Synergistic effects of amyloid deposition and cerebral small vessel disease (CSVD) on the systematic disruption of large-scale brain anatomical organization are not well known. We investigated the brain structural covariance network (SCN) in 245 cognitively impaired older adults with the information...

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Veröffentlicht in:Neurobiology of aging 2022-09, Vol.117, p.117-127
Hauptverfasser: Son, Sang Joon, Hong, Chang Hyung, Kim, Na-Rae, Choi, Jin Wook, Roh, Hyun Woong, Lee, Heirim, Seo, Sang Won, Choi, Seong Hye, Kim, Eun-Joo, Kim, Byeong C., Kim, Seong Yoon, Cheong, Jaeyoun, Moon, So Young, Park, Bumhee
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Sprache:eng
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Zusammenfassung:Synergistic effects of amyloid deposition and cerebral small vessel disease (CSVD) on the systematic disruption of large-scale brain anatomical organization are not well known. We investigated the brain structural covariance network (SCN) in 245 cognitively impaired older adults with the information of amyloid deposition and CSVD represented by white matter hyperintensities (WMH). We stratified the participants into 4 groups based on amyloid burden (A+/A -) and WMH severity (W+/W-). Using source-based morphometry analysis, we selected 13 independent components (ICs) in functional brain networks. SCNs between ICs were defined using Pearson correlations between individual weights; SCNs of the A+W+ group were compared with those of other groups using Fisher's r-to-z transformation. Our results revealed that SCN characteristics related to amyloid burden with CSVD could be represented by decreased intra- and increased cortico-subcortical inter-network connectivity in the salience (SN) and default mode networks (DMN), decreased cortico-subcortical internetwork connectivity in the central executive network (CEN), and altered internetwork connectivity among DMN-SN-CEN. Amyloid deposition and CSVD maybe associated with altered connectivity in structural networks in the brain and should be considered when assessing network disruption.
ISSN:0197-4580
1558-1497
DOI:10.1016/j.neurobiolaging.2022.05.010