Results 121 to 130 of about 72,622 (298)
Resting-state fMRI in dementia patients
Low frequency fluctuations (LFFs) of the BOLD signal are a major discovery in the study of the resting brain by functional magnetic resonance imaging (fMRI).
Gili, Tommaso +8 more
core +2 more sources
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
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
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
Distinct Brain Drivers and Shared Cerebello–Cortical Input in ADCY5 and SGCE Hyperkinetic Movements
Resting‐state fMRI and effective connectivity revealed distinct cerebellar–basal ganglia–cortical interactions in ADCY5 (MxMD‐ADCY5) and SGCE (MYC/DYT‐SGCE) related movement disorders. The cerebellum modulated cortex directly in MYC/DYT‐SGCE, but indirectly via basal ganglia‐cerebellar projections in MxMD‐ADCY5, which also showed reduced subthalamic ...
Clément Tarrano +33 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 Parkinson's disease (PD) is clinically heterogeneous, with substantial variability in motor and cognitive features. Conventional clinical scales provide limited insight into underlying neural mechanisms and show poor longitudinal stability.
Daniel Vered +4 more
wiley +1 more source

