中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
心理研究所 [3]
自动化研究所 [2]
采集方式
OAI收割 [5]
内容类型
期刊论文 [5]
发表日期
2024 [1]
2023 [1]
2022 [1]
2016 [2]
学科主题
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Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review
期刊论文
OAI收割
BRAIN RESEARCH, 2024, 卷号: 1823, 页码: 13
作者:
Chen, Pindong
;
Zhang, Shirui
;
Zhao, Kun
;
Kang, Xiaopeng
;
Rittman, Timothy
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/02/22
Neurodegenerative diseases
Alzheimer's disease
Heterogeneity
Subtype
Data-driven
A longitudinal resource for population neuroscience of school-age children and adolescents in China
期刊论文
OAI收割
SCIENTIFIC DATA, 2023, 卷号: 10, 期号: 1, 页码: 24
作者:
Fan, Xue-Ru
;
Wang, Yin-Shan
;
Chang, Da
;
Yang, Ning
;
Rong, Meng-Jie
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2023/12/11
Regional Radiomics Similarity Networks Reveal Distinct Subtypes and Abnormality Patterns in Mild Cognitive Impairment
期刊论文
OAI收割
ADVANCED SCIENCE, ADVANCED SCIENCE, 2022, 2022, 页码: 13, 13
作者:
Zhao, Kun
;
Zheng, Qiang
;
Dyrba, Martin
;
Rittman, Timothy
;
Li, Ang
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2022/03/17
mild cognitive impairment
mild cognitive impairment
progression
regional radiomics similarity network
subtypes
progression
regional radiomics similarity network
subtypes
Atomoxetine Enhances Connectivity of Prefrontal Networks in Parkinson's Disease
期刊论文
OAI收割
NEUROPSYCHOPHARMACOLOGY, 2016, 卷号: 41, 期号: 8, 页码: 2171-2177
作者:
Borchert, Robin J.
;
Rittman, Timothy
;
Passamonti, Luca
;
Ye, Zheng
;
Sami, Saber
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2016/08/08
Predicting beneficial effects of atomoxetine and citalopram on response inhibition in Parkinson's disease with clinical and neuroimaging measures
期刊论文
OAI收割
HUMAN BRAIN MAPPING, 2016, 卷号: 37, 期号: 3, 页码: 1026-1037
作者:
Ye, Zheng
;
Rae, Charlotte L.
;
Nombela, Cristina
;
Ham, Timothy
;
Rittman, Timothy
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2016/04/25
Parkinson's disease
impulsivity
response inhibition
stratification
noradrenaline
serotonin
machine learning