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Structural covariance changes in major cortico-basal ganglia and thalamic networks in amyloid-positive patients with white matter hyperintensities.
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.
Afiliación
  • Son SJ; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Hong CH; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Kim NR; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Choi JW; Department of Radiology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Roh HW; Department of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Lee H; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea; Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea.
  • Seo SW; Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Choi SH; Department of Neurology, Inha University School of Medicine, Incheon, Republic of Korea.
  • Kim EJ; Department of Neurology, Pusan National University School of Medicine, Pusan, Republic of Korea.
  • Kim BC; Department of Neurology, Chonnam National University School of Medicine, Gwangju, Republic of Korea.
  • Kim SY; Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Cheong J; Human Genome Research and Bio-Resource Center, Ajou University Medical Center, Suwon, Republic of Korea.
  • Moon SY; Department of Neurology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Park B; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea; Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for innovative Medicine, Ajou University Medical Center, Suwon, Republic of Korea. Electronic address: bhpark@aj
Neurobiol Aging ; 117: 117-127, 2022 09.
Article en En | MEDLINE | ID: mdl-35716410
ABSTRACT
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedades de los Pequeños Vasos Cerebrales / Sustancia Blanca Límite: Aged / Humans Idioma: En Revista: Neurobiol Aging Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Enfermedades de los Pequeños Vasos Cerebrales / Sustancia Blanca Límite: Aged / Humans Idioma: En Revista: Neurobiol Aging Año: 2022 Tipo del documento: Article