Results 21 to 30 of about 80,806 (260)

Age-related changes in processing speed: unique contributions of cerebellar and prefrontal cortex

open access: yesFrontiers in Human Neuroscience, 2010
Age-related declines in processing speed are hypothesized to underlie the widespread changes in cognition experienced by older adults. We used a structural covariance approach to identify putative neural networks that underlie age-related structural ...
Mark A Eckert   +4 more
doaj   +1 more source

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

open access: yesNetwork 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

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

open access: yesFrontiers 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   +14 more
doaj   +1 more source

Covariant spin structure [PDF]

open access: yesJournal of Mathematical Physics, 1998
Dirac fermion fields associated with different tetrad gravitational fields and under general covariant transformations are described by sections of the composite bundle S→Σ→X4, which is both the Dirac spinor bundle over the tetrad bundle Σ and the natural one over X4. As a natural bundle, S→X4 admits general covariant transformations which are those of
openaire   +2 more sources

Structural Covariance Changes of Anterior and Posterior Hippocampus During Musical Training in Young Adults

open access: yesFrontiers in Neuroanatomy, 2020
Musical training can induce the functional and structural changes of the hippocampus. The hippocampus is not a homogeneous structure which can be divided into anterior and posterior parts along its longitudinal axis, and the whole-brain structural ...
Panfei Guo   +19 more
doaj   +1 more source

Connectivity Alterations in Vascular Parkinsonism: A Structural Covariance Study

open access: yesApplied Sciences, 2022
This study aimed to investigate the structural covariance between the striatum and large-scale brain regions in patients with vascular parkinsonism (VP) compared to Parkinson’s disease (PD) and control subjects, and then explore the relationship between ...
Fabiana Novellino   +8 more
doaj   +1 more source

Covariance structure estimation with Laplace approximation

open access: yesJournal of Multivariate Analysis, 2023
Gaussian covariance graph model is a popular model in revealing underlying dependency structures among random variables. A Bayesian approach to the estimation of covariance structures uses priors that force zeros on some off-diagonal entries of covariance matrices and put a positive definite constraint on matrices.
Bongjung Sung, Jaeyong Lee
openaire   +2 more sources

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

open access: yesFrontiers 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   +13 more
doaj   +1 more source

Brain network changes in adult victims of violence

open access: yesFrontiers in Psychiatry, 2023
IntroductionStressful experiences such as violence can affect mental health severely. The effects are associated with changes in structural and functional brain networks.
Aliaksandra Shymanskaya   +6 more
doaj   +1 more source

Structural Covariance Analysis Reveals Differences Between Dancers and Untrained Controls

open access: yesFrontiers 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   +10 more
doaj   +1 more source

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