Results 31 to 40 of about 3,448,461 (253)

Structural Covariance Network Disruption and Functional Compensation in Parkinson’s Disease

Frontiers in Aging Neuroscience, 2020
Purpose: To investigate the structural covariance network disruption in Parkinson’s disease (PD), and explore the functional alterations of disrupted structural covariance network.Methods: A cohort of 100 PD patients and 70 healthy participants underwent
Cheng Zhou, Ting Gao, Tao Guo, Jingjing Wu, Xiaojun Guan, Weiwen Zhou, Peiyu Huang, Min Xuan, Quanquan Gu, Xiaojun Xu, Shunren Xia, Dexing Kong, Jian Wu, Minming Zhang   +13 more
doaj   +1 more source

Common and Specific Characteristics of Adolescent Bipolar Disorder Types I and II: A Combined Cortical Thickness and Structural Covariance Analysis

Frontiers in Psychiatry, 2022
BackgroundBy calculating cortical thickness (CT) and cortical structural covariance (SC), we aimed to investigate cortical morphology and cortical inter-regional correlation alterations in adolescent bipolar disorder type I (BD-I) and type II (BD-II ...
Liangfeng Kuang, Weijia Gao, Zhiliang Long, Weifang Cao, Dong Cui, Yongxin Guo, Qing Jiao, Jianfeng Qiu, Linyan Su, Guangming Lu   +9 more
doaj   +1 more source

Mapping covariance in brain FDG uptake to structural connectivity. [PDF]

, 2021
PURPOSE Inter-subject covariance of regional 18F-fluorodeoxyglucose (FDG) PET measures (FDGcov) as proxy of brain connectivity has been gaining an increasing acceptance in the community.
Grimmer, Timo, Hedderich, Dennis M, Diehl-Schmid, Janine, Schutte, Michael, Shi, Kuangyu, Hedderich, Dennis M., Wang, Min, Savio, Alex, Bogdanovic, Borjana, Yakushev, Igor, Ripp, Isabelle, Lizarraga, Aldana   +11 more
core   +2 more sources

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls

Frontiers in Human Neuroscience, 2018
Dancers and musicians differ in brain structure from untrained individuals. Structural covariance (SC) analysis can provide further insight into training-associated brain plasticity by evaluating interregional relationships in gray matter (GM) structure.
Falisha J. Karpati, Falisha J. Karpati, Chiara Giacosa, Chiara Giacosa, Nicholas E. V. Foster, Nicholas E. V. Foster, Virginia B. Penhune, Virginia B. Penhune, Krista L. Hyde, Krista L. Hyde, Krista L. Hyde   +10 more
doaj   +1 more source

Degeneracy and disordered brain networks in psychiatric patients using multivariate structural covariance analyzes

Frontiers in Psychiatry, 2023
IntroductionIn this study, we applied multivariate methods to identify brain regions that have a critical role in shaping the connectivity patterns of networks associated with major psychiatric diagnoses, including schizophrenia (SCH), major depressive ...
Rositsa Paunova, Rositsa Paunova, Cristina Ramponi, Sevdalina Kandilarova, Sevdalina Kandilarova, Anna Todeva-Radneva, Anna Todeva-Radneva, Adeliya Latypova, Drozdstoy Stoyanov, Drozdstoy Stoyanov, Ferath Kherif   +10 more
doaj   +1 more source

Statistical approaches for the study of cognitive and brain aging

Frontiers in Aging Neuroscience, 2016
Neuroimaging studies of cognitive and brain aging often yield massive datasets that create many analytic and statistical challenges. In this paper, we discuss and address several limitations in the existing work.
Huaihou Chen, Huaihou Chen, Bingxin Zhao, Guanqun Cao, Eric C Porges, Andrew O'Shea, Adam J Woods, Ronald Cohen   +7 more
doaj   +1 more source

Robust covariance estimation for data fusion from multiple sensors [PDF]

, 2011
This paper addresses the robust estimation of a covariance matrix to express uncertainty when fusing information from multiple sensors. This is a problem of interest in multiple domains and applications, namely, in robotics.
Lazarus, Samuel B., Samuel B. Lazarus, Tsourdos, Antonios, Antonios Tsourdos, João Sequeira, Sequeira, João   +5 more
core   +1 more source

Multi-modal imaging of neural correlates of motor speed performance in the Trail Making Test

Frontiers in Neurology, 2015
The assessment of motor and executive functions following stroke or traumatic brain injury is a key aspect of impairment evaluation and used to guide further therapy.
Julia A. Camilleri, Julia A. Camilleri, Andrew T. Reid, Veronika I. Müller, Veronika I. Müller, Christian eGrefkes, Katrin eAmunts, Katrin eAmunts, Simon B. Eickhoff, Simon B. Eickhoff   +9 more
doaj   +1 more source

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

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   +1 more source

Laminar thickness covariance in association to structural covariance.

, 2023
(a) The structural covariance matrix based on cortical thickness (left) in association with the laminar thickness covariance (LTC; center left). Main axes of structural covariance (center right) and LTC were correlated (right).
Amin Saberi (17364814), Casey Paquola (6714824), Meike D. Hettwer (17364817), Simon B. Eickhoff (8355852), Konrad Wagstyl (6714830), Sofie L. Valk (11304534), Boris C. Bernhardt (3318705)   +6 more
core   +1 more source