Results 1 to 10 of about 33,118 (100)

Causal Structural Covariance Network Suggesting Structural Alterations Progression in Type 2 Diabetes Patients [PDF]

open access: yesFrontiers in Human Neuroscience, 2022
Background and PurposeAccording to reports, type 2 diabetes (T2D) is a progressive disease. However, no known research has examined the progressive brain structural changes associated with T2D.
Jiang Zhang   +15 more
doaj   +4 more sources

Cortical Thinning and Abnormal Structural Covariance Network After Three Hours Sleep Restriction [PDF]

open access: yesFrontiers in Psychiatry, 2021
Sleep loss leads to serious health problems, impaired attention, and emotional processing. It has been suggested that the abnormal neurobehavioral performance after sleep deprivation was involved in dysfunction of specific functional connectivity between
Chaoyan Wang   +4 more
doaj   +4 more sources

Brain Structural Covariance Network Topology in Remitted Posttraumatic Stress Disorder [PDF]

open access: yesFrontiers in Psychiatry, 2018
Posttraumatic stress disorder (PTSD) is a prevalent, chronic disorder with high psychiatric morbidity; however, a substantial portion of affected individuals experience remission after onset.
Delin Sun   +44 more
doaj   +4 more sources

Revealing heterogeneity in mild cognitive impairment based on individualized structural covariance network [PDF]

open access: yesAlzheimer’s Research & Therapy
Background Mild cognitive impairment (MCI) is a heterogeneous disorder with significant individual variabilities in clinical and biological features. Abnormal inter-regional structural covariance suggests disruption of the brain structural network in MCI.
Xiaotong Wei   +6 more
doaj   +3 more sources

Connectome-based predictive modeling of smoking severity using individualized structural covariance network in smokers [PDF]

open access: yesFrontiers in Neuroscience, 2023
IntroductionAbnormal interactions among distributed brain systems are implicated in the mechanisms of nicotine addiction. However, the relationship between the structural covariance network, a measure of brain connectivity, and smoking severity remains ...
Weijian Wang   +8 more
doaj   +2 more sources

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

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   +2 more sources

Exploring the core network of the structural covariance network in childhood absence epilepsy [PDF]

open access: yesHeliyon, 2023
Childhood absence epilepsy (CAE) is a generalized pediatric epilepsy, which is generally considered to be a benign condition since most children become seizure-free before reaching adulthood. However, cognitive deficits and changes of brain morphological
Merel J.A. Eussen   +8 more
doaj   +2 more sources

Topological abnormality of structural covariance network in MRI-negative frontal lobe epilepsy [PDF]

open access: yesFrontiers in Neuroscience, 2023
BackgroundFrontal lobe epilepsy (FLE) is the second most common type of focal epilepsy, however, imaging studies of FLE have been far less than Temporal lobe epilepsy (TLE) and the structural findings were not consistent in previous literature ...
Yin Liu   +11 more
doaj   +2 more sources

Analysis of brain structural covariance network in Cushing disease [PDF]

open access: yesHeliyon
Background: Cushing disease (CD) is a rare clinical neuroendocrine disease. CD is characterized by abnormal hypercortisolism induced by a pituitary adenoma with the secretion of adrenocorticotropic hormone.
Can-Xin Xu   +7 more
doaj   +2 more sources

Impaired Topological Properties of Gray Matter Structural Covariance Network in Epilepsy Children With Generalized Tonic–Clonic Seizures: A Graph Theoretical Analysis [PDF]

open access: yesFrontiers in Neurology, 2020
Modern network science has provided exciting new opportunities for understanding the human brain as a complex network of interacting regions. The improved knowledge of human brain network architecture has made it possible for clinicians to detect the ...
Yongxin Li   +6 more
doaj   +2 more sources

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