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Total 286 results found since Jan 2013.

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

Text detection in natural scene images based on color prior guided MSER
Publication date: 13 September 2018 Source:Neurocomputing, Volume 307 Author(s): Xiangnan Zhang, Xinbo Gao, Chunna Tian In this paper, we focus on text detection in natural scene images which is conducive to content-based wild image analysis and understanding. This task is still an open problem and usually includes two key issues: text candidate extraction and verification. For text candidate extraction, we introduce a color prior to guide the character candidate extraction by Maximally Stable Extremal Region (MSER). The principle of color prior acquirement is to obtain stroke-like textures with modified Stroke Width Tran...
Source: Neurocomputing - June 12, 2018 Category: Neuroscience Source Type: research

Learning from brain control: clinical application of brain –computer interfaces
In conclusion, clinical application of brain machine interfaces in well-defined and circumscribed neurological disorders have demonstrated surprisingly positive effects. The application of BCIs to psychiatric and clinical–psychological problems, however, at present did not result in substantial improvement of complex behavioral disord ers.
Source: e-Neuroforum - November 1, 2015 Category: Neuroscience Source Type: research

Functional Neurochemistry of the Ventral and Dorsal Hippocampus: Stress, Depression, Dementia and Remote Hippocampal Damage.
Abstract The hippocampus is not a homogeneous brain area, and the complex organization of this structure underlies its relevance and functional pleiotropism. The new data related to the involvement of the ventral hippocampus in the cognitive function, behavior, stress response and its association with brain pathology, in particular, depression, are analyzed with a focus on neuroplasticity, specializations of the intrinsic neuronal network, corticosteroid signaling through mineralocorticoid and glucocorticoid receptors and neuroinflammation in the hippocampus. The data on the septo-temporal hippicampal gradient are...
Source: Neurochemical Research - October 24, 2018 Category: Neuroscience Authors: Gulyaeva NV Tags: Neurochem Res Source Type: research

Effects of Treadmill Exercise on Motor and Cognitive Function Recovery of MCAO Mice Through the Caveolin-1/VEGF Signaling Pathway in Ischemic Penumbra.
In this study, we attempted to determine an additional mechanism of treadmill exercise-mediated motor and cognitive functional recovery through the caveolin-1/VEGF pathway associated with BDNF in the ischemic penumbra of MCAO mice. We found that mice exposed to treadmill exercise after the MCAO operation showed a significant up-regulation in expression of caveolin-1, VEGF, BDNF, synapsin I and CYFIP1 proteins, numbers of cells positive for BrdU/CD34, BDNF, BrdU/NeuN, BrdU/Synapsin I and CYFIP1 expression were increased, which support the reduction in neurological deficit and infarction volume, as well as improved synaptic ...
Source: Neurochemical Research - January 19, 2019 Category: Neuroscience Authors: Chen Z, Hu Q, Xie Q, Wu S, Pang Q, Liu M, Zhao Y, Tu F, Liu C, Chen X Tags: Neurochem Res Source Type: research

Neural Network Based Modeling and Control of Elbow Joint Motion Under Functional Electrical Stimulation
Publication date: Available online 6 March 2019Source: NeurocomputingAuthor(s): Yurong Li, Wenxin Chen, Jun Chen, Xin Chen, Jie Liang, Min DuAbstractIn patients with stroke and spinal cord injury, motor function is reduced or even lost because motor nerve signals cannot be transmitted due to nerve injury. Functional electrical stimulation (FES) is one of the most important rehabilitation techniques for the treatment of motor impairment in patients with stroke and spinal cord injury, which has been widely used in the recovery and reconstruction of limb motor function. In this paper, we propose a neural network based modelin...
Source: Neurocomputing - March 6, 2019 Category: Neuroscience Source Type: research

Morphological and Whole-Word Semantic Processing Are Distinct: Event Related Potentials Evidence From Spoken Word Recognition in Chinese
In conclusion, the present study provides electrophysiological evidence of the dissociation of morphological and whole-word semantic processing in Chinese spoken word processing. The results identified a central-anterior morphological N400 effect when morphemic meaning conflicts with whole-word semantics, in addition to a classic semantic N400 effect with significantly reduced amplitude in central-parietal areas. Our results also showed that the morphological N400 effect is negatively correlated with reading ability. These results demonstrate the important role of morphological processing in Chinese spoken word recognition...
Source: Frontiers in Human Neuroscience - April 16, 2019 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

Integration of an Actor-Critic Model and Generative Adversarial Networks for a Chinese Calligraphy Robot
Publication date: Available online 16 January 2020Source: NeurocomputingAuthor(s): Ruiqi Wu, Changle Zhou, Fei Chao, Longzhi Yang, Chih-Min Lin, Changjing ShangAbstractAs a combination of robotic motion planning and Chinese calligraphy culture, robotic calligraphy plays a significant role in the inheritance and education of Chinese calligraphy culture. Most existing calligraphy robots focus on enabling the robots to learn writing through human participation, such as human-robot interactions and manually designed evaluation functions. However, because of the subjectivity of art aesthetics, these existing methods require a l...
Source: Neurocomputing - January 16, 2020 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

CNN-Based Prognosis of BCI Rehabilitation Using EEG From First Session BCI Training
Stroke is a world-leading disease for causing disability. Brain-computer interaction (BCI) training has been proved to be a promising method in facilitating motor recovery. However, due to differences in each patient’s neural-clinical profile, the potential of recovery for different patients can vary significantly by conducting BCI training, which remains a major problem in clinical rehabilitation practice. To address this issue, the objective of this study is to prognosticate the outcome of BCI training using motor state electroencephalographic (EEG) collected during the first session of BCI tasks, with the aim of ...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - September 28, 2021 Category: Neuroscience Source Type: research

Recent highlights in periopeative neurological disorders, from bench to bedside
CNS Neurosci Ther. 2022 Feb 11. doi: 10.1111/cns.13771. Online ahead of print.ABSTRACTPerioperative neurological disorders are important causes of postoperative disability and even perioperative death, bringing a huge challenge to the vulnerable and increasing aging population. Perioperative neurological disorders usually contain ischemic stroke, hemorrhagic stroke, and neurocognitive disorders during the perioperative period. Although a few prevention and treatment strategies have been developed for each disorder, there is still a lack of effective treatments and the underlying mechanisms are far from well-understood. Thi...
Source: CNS Neuroscience and Therapeutics - February 11, 2022 Category: Neuroscience Authors: Yunlu Guo Peiying Li Source Type: research

BCI-FES With Multimodal Feedback for Motor Recovery Poststroke
In this report, we describe device parameters and intervention protocols of our BCI-FES system which, combined with standard physical rehabilitation approaches, has proven efficacious in treating UE motor impairment in stroke survivors, regardless of level of impairment and chronicity.
Source: Frontiers in Human Neuroscience - July 6, 2022 Category: Neuroscience Source Type: research

The right uncinate fasciculus supports verbal short-term memory in aphasia
Brain Struct Funct. 2023 Apr 2. doi: 10.1007/s00429-023-02628-9. Online ahead of print.ABSTRACTVerbal short-term memory (STM) deficits are associated with language processing impairments in people with aphasia. Importantly, the integrity of STM can predict word learning ability and anomia therapy gains in aphasia. While the recruitment of perilesional and contralesional homologous brain regions has been proposed as a possible mechanism for aphasia recovery, little is known about the white-matter pathways that support verbal STM in post-stroke aphasia. Here, we investigated the relationships between the language-related whi...
Source: Brain Structure and Function - April 3, 2023 Category: Neuroscience Authors: Guillem Oliv é Claudia Pe ñaloza Luc ía Vaquero Matti Laine Nadine Martin Antoni Rodriguez-Fornells Source Type: research