当前位置: 首页 > 详情页

Heterogeneity in subjective cognitive decline in the Sino Longitudinal Study on Cognitive Decline(SILCODE): Empirically derived subtypes, structural and functional verification

文献详情

资源类型:
WOS体系:
Pubmed体系:

收录情况: ◇ SCIE

机构: [1]Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China. [2]School of Psychology, Key Laboratory of Human Development and Mental Health of Hubei Province, Central China Normal University, Wuhan, China. [3]Department of Psychology, Tangshan Gongren Hospital, Tangshan, China. [4]Department of Neurology, Tangshan Central Hospital, Tangshan, China. [5]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. [6]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. [7]Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China. [8]Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. [9]National Clinical Research Center for Geriatric Disorders, Beijing, China. [10]Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.
出处:
ISSN:

摘要:
We evaluated whether Subjective Cognitive Decline (SCD) subtypes could be empirically derived within the Sino Longitudinal Study on Cognitive Decline (SILCODE) SCD cohort and examined associated neuroimaging markers, biomarkers, and clinical outcomes.A cluster analysis was performed on eight neuropsychological test scores from 124 SCD SILCODE participants and 57 normal control (NC) subjects. Structural and functional neuroimaging indices were used to evaluate the SCD subgroups.Four subtypes emerged: (1) dysexecutive/mixed SCD (n = 23), (2) neuropsychiatric SCD (n = 24), (3) amnestic SCD (n = 22), and (4) cluster-derived normal (n = 55) who exhibited normal performance in neuropsychological tests. Compared with the NC group, each subgroup showed distinct patterns in gray matter (GM) volume and the amplitude of low-frequency fluctuations (ALFF). Lower fractional anisotropy (FA) values were only found in the neuropsychiatric SCD group relative to NC.The identification of empirically derived SCD subtypes demonstrates the presence of heterogeneity in SCD neuropsychological profiles. The cluster-derived normal group may represent the majority of SCD individuals who do not show progressive cognitive decline; the dysexecutive/mixed SCD and amnestic SCD might represent high-risk groups with progressing cognitive decline; and finally, the neuropsychiatric SCD may represent a new topic in SCD research.© 2023 The Authors. CNS Neuroscience & Therapeutics Published by John Wiley & Sons Ltd.

基金:
语种:
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2022]版:
大类 | 1 区 医学
小类 | 1 区 药学 1 区 神经科学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 药学 3 区 神经科学
JCR分区:
出版当年[2021]版:
Q1 NEUROSCIENCES Q1 PHARMACOLOGY & PHARMACY
最新[2023]版:
Q1 NEUROSCIENCES Q1 PHARMACOLOGY & PHARMACY

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

第一作者:
第一作者机构: [1]Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China. [2]School of Psychology, Key Laboratory of Human Development and Mental Health of Hubei Province, Central China Normal University, Wuhan, China.
通讯作者:
通讯机构: [5]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China. [6]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China. [7]Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou, China. [8]Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China. [9]National Clinical Research Center for Geriatric Disorders, Beijing, China. [10]Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China. [*1]State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, 570228 Haikou, China [*2]Department of Neurology, Xuanwu Hospital of Capital Medical University, 100053 Beijing, China
推荐引用方式(GB/T 7714):
APA:
MLA:

资源点击量:16996 今日访问量:0 总访问量:905 更新日期:2025-04-01 建议使用谷歌、火狐浏览器 常见问题

版权所有©2020 首都医科大学宣武医院 技术支持:重庆聚合科技有限公司 地址:北京市西城区长椿街45号宣武医院