Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation DOI Creative Commons
Nan Wang, Wen‐Jun Tu

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Nov. 29, 2024

Brain-computer interfaces (BCIs) are at the forefront of medical technology, with transformative potential for neurological rehabilitation [1]. Motor imagery-based braincomputer (MI-BCIs) hold significant clinical value in neurorehabilitation [2,3]. By facilitating direct communication between brain and external devices, BCIs broadening scope neurorehabilitation, particularly individuals conditions such as spinal cord injury (SCI), stroke, unilateral spatial neglect (USN) [4][5][6]. This special topic aims to highlight recent advancements, diverse applications, complex challenges associated managing disorders. It includes four notable contributions, each providing unique insights into enhance quality life functional abilities those affected.In study by Guo et al. on authors explored a novel approach combining epidural electrical stimulation (EES) near-infrared nerve (nINS) motor function specificity SCI rats. The results revealed that adding optical conventional EES could selectively activate target muscles reduced intensity, offering an effective strategy mitigate unwanted muscle activation improve movement control. dualstimulation presents promising new avenue addressing dysfunctions SCI, paving way more precise neuromodulation settings [7].patients. Using graph theory, assessed cortical reorganization undergoing VR-assisted therapy. demonstrated VR-based tool, Gesture Collection, significantly enhanced connectivity within motor-related regions compared standard improvement connectivity, frontoparietal somatosensory networks, highlights VR promote neuroplasticity facilitate recovery stroke survivors. engaging targeted exercises, serve valuable complement traditional programs [8].Wang investigated neural characteristics neuropathic pain numbness patients. electroencephalography (EEG), identified distinct network patterns differentiating patients from experiencing numbness. Notably, suffering exhibited power lower frequency bands (θ α) increased higher band (β), accompanied altered connectivity. These findings suggest EEG-based metrics biomarkers distinguishing different symptoms patients, thereby informing personalized intervention strategies chronic management this population [9].The article Gouret provides focused review brain-computer interface (BCI) applications context (USN), common yet often underrecognized consequence stroke. emphasizes limited use cognitive deficits, visuo-attentional impairments, underscores need expanded research area. propose integrating tool USN, leveraging engagement provided support attentional recovery. perspective advocates BCI beyond include therapy, gap current treatment approaches [10] Collectively, these studies versatility rehabilitation. enhancing recovery, pain, supporting restoration, represent multidimensional capable various aspects impairments [11]. However, several remain, including improved user accessibility, device usability, ethical considerations. As technology continues advance, interdisciplinary collaboration will be crucial translating experimental real-world solutions can widely adopted practice. For instance, optogenetic imaging techniques allow modulation specific circuits, further promoting [12][13].This issue inspire ongoing innovation field BCIs, ultimate goal empowering disorders lead independent fulfilling lives. Through continued exploration application, promise bridging impairment hope clinicians, researchers alike.

Language: Английский

Editorial: Brain-computer interfaces in neurological disorders: expanding horizons for diagnosis, treatment, and rehabilitation DOI Creative Commons
Nan Wang, Wen‐Jun Tu

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Nov. 29, 2024

Brain-computer interfaces (BCIs) are at the forefront of medical technology, with transformative potential for neurological rehabilitation [1]. Motor imagery-based braincomputer (MI-BCIs) hold significant clinical value in neurorehabilitation [2,3]. By facilitating direct communication between brain and external devices, BCIs broadening scope neurorehabilitation, particularly individuals conditions such as spinal cord injury (SCI), stroke, unilateral spatial neglect (USN) [4][5][6]. This special topic aims to highlight recent advancements, diverse applications, complex challenges associated managing disorders. It includes four notable contributions, each providing unique insights into enhance quality life functional abilities those affected.In study by Guo et al. on authors explored a novel approach combining epidural electrical stimulation (EES) near-infrared nerve (nINS) motor function specificity SCI rats. The results revealed that adding optical conventional EES could selectively activate target muscles reduced intensity, offering an effective strategy mitigate unwanted muscle activation improve movement control. dualstimulation presents promising new avenue addressing dysfunctions SCI, paving way more precise neuromodulation settings [7].patients. Using graph theory, assessed cortical reorganization undergoing VR-assisted therapy. demonstrated VR-based tool, Gesture Collection, significantly enhanced connectivity within motor-related regions compared standard improvement connectivity, frontoparietal somatosensory networks, highlights VR promote neuroplasticity facilitate recovery stroke survivors. engaging targeted exercises, serve valuable complement traditional programs [8].Wang investigated neural characteristics neuropathic pain numbness patients. electroencephalography (EEG), identified distinct network patterns differentiating patients from experiencing numbness. Notably, suffering exhibited power lower frequency bands (θ α) increased higher band (β), accompanied altered connectivity. These findings suggest EEG-based metrics biomarkers distinguishing different symptoms patients, thereby informing personalized intervention strategies chronic management this population [9].The article Gouret provides focused review brain-computer interface (BCI) applications context (USN), common yet often underrecognized consequence stroke. emphasizes limited use cognitive deficits, visuo-attentional impairments, underscores need expanded research area. propose integrating tool USN, leveraging engagement provided support attentional recovery. perspective advocates BCI beyond include therapy, gap current treatment approaches [10] Collectively, these studies versatility rehabilitation. enhancing recovery, pain, supporting restoration, represent multidimensional capable various aspects impairments [11]. However, several remain, including improved user accessibility, device usability, ethical considerations. As technology continues advance, interdisciplinary collaboration will be crucial translating experimental real-world solutions can widely adopted practice. For instance, optogenetic imaging techniques allow modulation specific circuits, further promoting [12][13].This issue inspire ongoing innovation field BCIs, ultimate goal empowering disorders lead independent fulfilling lives. Through continued exploration application, promise bridging impairment hope clinicians, researchers alike.

Language: Английский

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