Results 11 to 20 of about 33,217 (199)

Hippocampal morphological atrophy and distinct patterns of structural covariance network in Alzheimer’s disease and mild cognitive impairment [PDF]

Frontiers in Psychology, 2022
Elucidating distinct morphological atrophy patterns of Alzheimer’s disease (AD) and its prodromal stage, namely, mild cognitive impairment (MCI) helps to improve early diagnosis and medical intervention of AD. On that account, we aimed to obtain distinct
Dawei Miao, Xiaoguang Zhou, Xiaoyuan Wu, Chengdong Chen, Le Tian   +4 more
doaj   +2 more sources

MRI-based structural covariance network in early human brain development [PDF]

Frontiers in Neuroscience, 2023
Dingna Duan, Dingna Duan, Dingna Duan, Dong Wen   +3 more
doaj   +2 more sources

Intra-individual structural covariance network in schizophrenia patients with persistent auditory hallucinations [PDF]

Schizophrenia
Neuroimaging studies have revealed that the mechanisms of auditory hallucinations are related to morphological changes in multiple cortical regions, but studies on brain network properties are lacking.
Xu Shao, Honghong Ren, Jinguang Li, Jingqi He, Lulin Dai, Min Dong, Jun Wang, Xiangzhen Kong, Xiaogang Chen, Jinsong Tang   +9 more
doaj   +2 more sources

Structural Covariance Network as an Endophenotype in Alzheimer's Disease-Susceptible Single-Nucleotide Polymorphisms and the Correlations With Cognitive Outcomes. [PDF]

Front Aging Neurosci, 2021
Chang HI, Chang YT, Huang CW, Huang KL, Hsu JL, Hsu SW, Tsai SJ, Chang WN, Lee CC, Huang SH, Chang CC.   +10 more
europepmc   +2 more sources

Shared alterations in hippocampal structural covariance in subjective cognitive decline and migraine

Frontiers in Aging Neuroscience, 2023
IntroductionSubjective cognitive decline (SCD) and migraine are often comorbid. Hippocampal structural abnormalities have been observed in individuals with both SCD and migraine. Given the known structural and functional heterogeneity along the long axis
Chia-Lin Tsai, Kun-Hsien Chou, Kun-Hsien Chou, Pei-Lin Lee, Chih-Sung Liang, Chen-Yuan Kuo, Guan-Yu Lin, Yu-Kai Lin, Yu-Kai Lin, Yi-Chih Hsu, Chien-An Ko, Fu-Chi Yang, Fu-Chi Yang, Ching-Po Lin, Ching-Po Lin, Ching-Po Lin   +15 more
doaj   +1 more source

Associations Between Structural Covariance Network and Antipsychotic Treatment Response in Schizophrenia. [PDF]

Schizophr Bull
Tsugawa S, Honda S, Noda Y, Wannan C, Zalesky A, Tarumi R, Iwata Y, Ogyu K, Plitman E, Ueno F, Mimura M, Uchida H, Chakravarty M, Graff-Guerrero A, Nakajima S.   +14 more
europepmc   +2 more sources

BCCT: A GUI Toolkit for Brain Structural Covariance Connectivity Analysis on MATLAB

Frontiers in Human Neuroscience, 2021
Brain structural covariance network (SCN) can delineate the brain synchronized alterations in a long-range time period. It has been used in the research of cognition or neuropsychiatric disorders.
Qiang Xu, Qiang Xu, Qirui Zhang, Gaoping Liu, Xi-jian Dai, Xi-jian Dai, Xinyu Xie, Jingru Hao, Qianqian Yu, Ruoting Liu, Zixuan Zhang, Yulu Ye, Rongfeng Qi, Long Jiang Zhang, Zhiqiang Zhang, Zhiqiang Zhang, Guangming Lu, Guangming Lu, Guangming Lu   +18 more
doaj   +1 more source

Causal structural covariance network revealing atrophy progression in Alzheimer's disease continuum. [PDF]

Hum Brain Mapp, 2021
Qing Z, Chen F, Lu J, Lv P, Li W, Liang X, Wang M, Wang Z, Zhang X, Zhang B, Alzheimer's Disease Neuroimaging Initiative.   +10 more
europepmc   +2 more sources

Divergent Connectivity Changes in Gray Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer’s Disease

Frontiers in Aging Neuroscience, 2021
Alzheimer’s disease (AD) has a long preclinical stage that can last for decades prior to progressing toward amnestic mild cognitive impairment (aMCI) and/or dementia.
Zhenrong Fu, Mingyan Zhao, Mingyan Zhao, Yirong He, Xuetong Wang, Jiadong Lu, Shaoxian Li, Xin Li, Xin Li, Guixia Kang, Ying Han, Ying Han, Ying Han, Ying Han, Shuyu Li   +14 more
doaj   +1 more source

Structural covariance networks across the life span, from 6 to 94 years of age [PDF]

Network Neuroscience, 2017
Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span ...
Elizabeth DuPre, R. Nathan Spreng
doaj   +1 more source