Results 201 to 210 of about 11,230,345 (378)

A statistical framework for recovering pseudo-dynamic networks from static data. [PDF]

open access: yesBioinformatics, 2022
Chen C, Shen B, Ma T, Wang M, Wu R.
europepmc   +1 more source

Detecting rs‐fMRI Networks in Disorders of Consciousness: Improving Clinical Interpretability

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Preserved resting‐state functional MRI (rs‐fMRI) networks are typically observed in Disorders of Consciousness (DOC). Despite the widespread use of rs‐fMRI in DOC, a systematic assessment of networks is needed to improve the interpretability of data in clinical practice.
Jean Paul Medina Carrion   +15 more
wiley   +1 more source

Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing   +4 more
wiley   +1 more source

Spite is contagious in dynamic networks. [PDF]

open access: yesNat Commun, 2021
Fulker Z, Forber P, Smead R, Riedl C.
europepmc   +1 more source

Timing and Predictive Value of Clinical Conditions Preceding Multiple Sclerosis in the UK Biobank

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Multiple sclerosis (MS) patients often experience a higher incidence of clinical conditions before diagnosis, suggesting a prodromal phase. However, their predictive value and temporal trajectories remain underexplored. We investigated these aspects using the large UK Biobank's population‐based cohort, which provided clinical ...
Andrea Nova   +5 more
wiley   +1 more source

Integrative learning for population of dynamic networks with covariates. [PDF]

open access: yesNeuroimage, 2021
Kundu S, Ming J, Nocera J, McGregor KM.
europepmc   +1 more source

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