Results 121 to 130 of about 254,305 (352)
Resting-state functional connectivity of orthographic networks in acquired dysgraphia
Frontiers in Psychology, 2015 Introduction. While task-based fMRI has been used extensively to study the functional neural networks that instantiate cognitive functions, there is increasing interest in analyzing the activity of the brain while it is not performing a task – in the ...
Gali Ellenblum
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Social Cognitive and Affective Neuroscience, 2016 Autism spectrum disorders (ASD) are far more prevalent in males than in females. Little is known however about the differential neural expression of ASD in males and females.
K. Alaerts, S. Swinnen, N. Wenderoth
semanticscholar +1 more source
Validation of CBCL depression scores of adolescents in three independent datasets
JCPP Advances, EarlyView.Depression is common, burdensome, and is frequently first diagnosed in adolescents, thus the popular Adolescent Brain Cognitive Development dataset (ABCD) provides an attractive opportunity to research depression in adolescents. The only DSM‐5‐oriented continuous measure of depression in ABCD is the parent‐report Child Behavior Checklist's DSM‐5 ...
Marie Zelenina +3 more
wiley +1 more source
PLoS ONE, 2018 Functional magnetic resonance imaging (fMRI) is an important tool for pre-surgical evaluation of eloquent cortex. Classic task-based paradigms require patient participation and individual imaging sequence acquisitions for each functional domain that is ...
Eric C Leuthardt +14 more
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Journal of Orthopaedic Research, EarlyView.ABSTRACT Osteoarthritis (OA) is a highly prevalent chronic joint disorder affecting ~600 million individuals worldwide and is characterized by complex pain mechanisms that significantly impair patient quality of life. Challenges exist in accurately assessing and measuring pain in OA due to variations in pain perception among individuals and the ...
Shujaa T. Khan +10 more
wiley +1 more source
, 2017 Recent studies on analyzing dynamic brain connectivity rely on sliding-window analysis or time-varying coefficient models which are unable to capture both smooth and abrupt changes simultaneously. Emerging evidence suggests state-related changes in brain
Ombao, Hernando +3 more
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Movement Disorders Clinical Practice, EarlyView.Abstract Background Deep brain stimulation (DBS) targeting the subthalamic nucleus (STN) can effectively treat motor symptoms of Parkinson's disease (PD). However, optimal patient selection remains challenging due to the inadequacy of outcome predictors.
John R. Younce +3 more
wiley +1 more source
Frontiers in Human Neuroscience, 2016 Hierarchical clustering is a useful data-driven approach to classify complex data and has been used to analyze resting-state functional magnetic resonance imaging (fMRI) data and derive functional networks of the human brain at very large scale, such as ...
Yanlu eWang +3 more
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Large-scale DCMs for resting-state fMRI
Network Neuroscience, 2017 This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity.
Adeel Razi +8 more
semanticscholar +1 more source
Brain Imaging Phenotypes Associated with Polygenic Risk for Essential Tremor
Movement Disorders, EarlyView.Abstract Essential tremor (ET) is a common movement disorder with a strong genetic basis. Magnetic resonance imaging (MRI), particularly diffusion‐weighted MRI (dMRI) and T1 MRI, have been used to identify brain abnormalities of ET patients. However, the mechanisms by which genetic risk affects the brain to render individuals vulnerable to ET remain ...
Miranda Medeiros +14 more
wiley +1 more source