Results 131 to 140 of about 249,333 (304)
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
doaj +1 more source
Maintenance and Representation of Mind Wandering during Resting-State fMRI
International audienceMajor advances in resting-state functional magnetic resonance imaging (fMRI) techniques in the last two decades have provided a tool to better understand the functional organization of the brain both in health and illness.
Kirste, Imke +13 more
core +1 more source
The improvement of proprioceptive function after ACLR is related to the optimization of spatiotemporal dynamics of SM, CC, DM, CB and VI functional networks. Rehabilitation optimization can incorporate visual–cognitive dual‐task exercises. Abstract Purpose In this study, we aimed to examine the dynamic functional network connectivity (dFNC) patterns ...
Xiaoyun Zhuang +7 more
wiley +1 more source
Neural Correlates of Virtual Reality Intervention in Children With Attention-Deficit/Hyperactivity Disorder: A Resting-State fMRI Study Based on Percent Amplitude of Fluctuation. [PDF]
Abstract Objective To investigate neural mechanisms associated with improvements in core symptoms of attention‐deficit/hyperactivity disorder (ADHD) following a virtual reality (VR) intervention, using resting‐state fMRI (rs‐fMRI) with the percent amplitude of fluctuation (PerAF) and standardized clinical behavioral assessments.
Yu X +6 more
europepmc +2 more sources
Abstract Background Parkinson's Disease (PD) is a progressive neurodegenerative disorder primarily characterized by motor symptoms such as tremors, rigidity, and bradykinesia. Structural brain changes, including atrophy in the midbrain, basal ganglia, and cortical regions such as the frontal and temporal lobes, are observed in advanced stages.
Suraiya Mangra +5 more
wiley +1 more source
Resting-state functional connectivity of orthographic networks in acquired dysgraphia
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
doaj +1 more source
Detecting spatiotemporal nonlinear dynamics in resting state of human brain based on fMRI datasets
In this work, a nonlinear dynamics method, coupled map lattices, was applied to functional magnetic resonance imaging (fMRI) datasets to examine the spatiotemporal properties of resting state blood oxygen level-dependent (BOLD) fluctuations ...
Xie, Xiaoping +3 more
core
Temporal Dynamics of Parkinson's Disease Tremor: Clinical and Neuroimaging Insights
Abstract Background Parkinson's disease (PD) is a progressive neurodegenerative disorder clinically defined by three cardinal motor symptoms: bradykinesia, rigidity, and tremor. Although the natural history of bradykinesia and rigidity is well described, the evolution of tremor as the disease progresses remains controversial. Objectives The goal was to
Melanie Suette +15 more
wiley +1 more source
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
doaj +1 more source
Abstract Background Transcranial temporal interference stimulation (TIs) targeting the subthalamic nucleus (STN) is a novel noninvasive neuromodulation approach with potential to improve motor symptoms in Parkinson's disease (PD). However, its underlying neuroimaging mechanisms remain unclear.
Yongxin Xu +19 more
wiley +1 more source

