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Neural mechanisms of brain–computer interface control
Brain-computer interfaces (BCIs) enable people with paralysis to communicate with their environment. Motor imagery can be used to generate distinct patterns of cortical activation in theExpand
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Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke
Background. Robot-assisted training may improve motor function in some hemiparetic patients after stroke, but no physiological predictor of rehabilitation progress is reliable. Resting stateExpand
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Prediction of brain-computer interface aptitude from individual brain structure
Objective: Brain-computer interface (BCI) provide a non-muscular communication channel for patients with impairments of the motor system. A significant number of BCI users is unable to obtainExpand
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Patterns of response to repetitive transcranial magnetic stimulation (rTMS) in major depression: replication study in drug-free patients.
BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) has been found to exert modest to moderate therapeutic effects in major depression, but mechanism of action and its clinical relevanceExpand
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Quantifying the Link between Anatomical Connectivity, Gray Matter Volume and Regional Cerebral Blood Flow: An Integrative MRI Study
Background In the graph theoretical analysis of anatomical brain connectivity, the white matter connections between regions of the brain are identified and serve as basis for the assessment ofExpand
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Prefrontal brain asymmetry and aggression in imprisoned violent offenders
Anterior brain asymmetry, assessed through the alpha and beta band in resting-state electroencephalogram (EEG) is associated with approach-related behavioral dispositions, particularly withExpand
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Surgical decision making for deep brain stimulation should not be based on aggregated normative data mining
We read with interest the manuscript by Li et al. “Toward a unified connectomic target for deep brain stimulation in obsessivecompulsive disorder”, published on the preprint server bioRxiv (13 aprilExpand
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Automatic Segmentation of the Subthalamic Nucleus: A Viable Option to Support Planning and Visualization of Patient-Specific Targeting in Deep Brain Stimulation.
BACKGROUND Automatic segmentation is gaining relevancy in image-based targeting of neural structures. OBJECTIVE To evaluate its feasibility, we retrospectively analyzed the concordance of magneticExpand
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Post-stroke brain excitability of contralesional motor representations depends on lesion location
Introduction: Transcranial magnetic stimulation (TMS) applied over the primary motor cortex (M1) elicits motor evoked potentials (MEPs) in contralateral muscles and can be used to gather informationExpand