• Filter By:
• Specialty
• Source
• Condition
• Cancer
• Infectious Disease
• Drug
• Training
• Management
• Procedure
• Therapy
• Vaccine
• Nutrition
• Country

Re-learning to be different: Increased neural differentiation supports post-stroke language recovery
Publication date: 15 November 2019Source: NeuroImage, Volume 202Author(s): Jeremy J. Purcell, Robert W. Wiley, Brenda RappAbstractIdentifying the neural changes that support recovery of cognitive functions after a brain lesion is important to advance our understanding of human neuroplasticity, which, in turn, forms the basis for the development of effective treatments. To date, the preponderance of neuroimaging studies has focused on localizing changes in average brain activity associated with functional recovery. Here, we took a novel approach by evaluating whether cognitive recovery in chronic stroke is related to increa...
Source: NeuroImage - September 17, 2019 Category: Neuroscience Source Type: research

Reinforcement learning of self-regulated sensorimotor β-oscillations improves motor performance
Publication date: 1 July 2016 Source:NeuroImage, Volume 134 Author(s): G. Naros, I. Naros, F. Grimm, U. Ziemann, A. Gharabaghi Self-regulation of sensorimotor oscillations is currently researched in neurorehabilitation, e.g. for priming subsequent physiotherapy in stroke patients, and may be modulated by neurofeedback or transcranial brain stimulation. It has still to be demonstrated, however, whether and under which training conditions such brain self-regulation could also result in motor gains. Thirty-two right-handed, healthy subjects participated in a three-day intervention during which they performed 462 trials...
Source: NeuroImage - April 19, 2016 Category: Neuroscience Source Type: research

Resting-state functional connectivity predicts the ability to adapt arm reaching in a robot-mediated force field
This study investigated whether spontaneous resting-state functional connectivity could predict the degree of motor adaptation of right (dominant) upper limb reaching in response to a robot-mediated force field. Spontaneous neural activity was measured using resting-state electroencephalography (EEG) in healthy adults before a single session of motor adaptation. The degree of beta frequency (β; 15–25 Hz) resting-state functional connectivity between contralateral electrodes overlying the left primary motor cortex (M1) and the anterior prefrontal cortex (aPFC) could predict the subsequent degree of motor adaptation. Th...
Source: NeuroImage - April 4, 2018 Category: Neuroscience Source Type: research

Cerebral microbleed detection using Susceptibility Weighted Imaging and deep learning
This study demonstrates the potential of applying deep learning techniques to medical imaging for improving efficiency and accuracy in diagnosis.Graphical abstract
Source: NeuroImage - May 21, 2019 Category: Neuroscience Source Type: research

RFDCR: Automated brain lesion segmentation using cascaded random forests with dense conditional random fields
Publication date: Available online 11 February 2020Source: NeuroImageAuthor(s): Gaoxiang Chen, Qun Li, Fuqian Shi, Islem Rekik, Li Wang, Zhifang PanSegmentation of brain lesions from magnetic resonance images (MRI) is an important step for disease diagnosis, surgical planning, radiotherapy and chemotherapy. However, due to noise, motion, and partial volume effects, automated segmentation of lesions from MRI is still a challenging task. In this paper, we propose a two-stage supervised learning framework for automatic brain lesion segmentation. Specifically, in the first stage, intensity-based statistical features, template-...
Source: NeuroImage - February 11, 2020 Category: Neuroscience Source Type: research

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality
Publication date: 1 May 2015 Source:NeuroImage, Volume 111 Author(s): Mathias Vukelić , Alireza Gharabaghi Neurofeedback of self-regulated brain activity in circumscribed cortical regions is used as a novel strategy to facilitate functional restoration following stroke. Basic knowledge about its impact on motor system oscillations and functional connectivity is however scarce. Specifically, a direct comparison between different feedback modalities and their neural signatures is missing. We assessed a neurofeedback training intervention of modulating β-activity in circumscribed sensorimotor regions by kinesthetic motor ...
Source: NeuroImage - February 22, 2015 Category: Neuroscience Source Type: research

Brain–robot interface driven plasticity: Distributed modulation of corticospinal excitability
In conclusion, the BRI intervention induced a complex pattern of modulated corticospinal excitability, which may boost subsequent motor learning during physiotherapy. Graphical abstract
Source: NeuroImage - November 12, 2015 Category: Neuroscience Source Type: research

Transcranial direct current stimulation (tDCS) facilitates verb learning by altering effective connectivity in the healthy brain
Publication date: Available online 17 July 2018Source: NeuroImageAuthor(s): Valentina Fiori, Lisa Kunz, Philipp Kuhnke, Paola Marangolo, Gesa HartwigsenAbstractRecent studies have shown that the left inferior frontal gyrus (IFG) plays a key role in language learning. Facilitatory stimulation over this region by means of anodal transcranial direct current stimulation (tDCS) can modulate linguistic abilities in healthy individuals and improve language performance in patients with post-stroke aphasia. Neuroimaging studies in healthy participants have suggested that anodal tDCS decreases task-related activity at the stimulated...
Source: NeuroImage - July 18, 2018 Category: Neuroscience Source Type: research