Deep learning and transfer learning techniques improve cross-variability decoding of motor imagery EEG signals
New Deep Learning Methods Improve Brain Signal Decoding for Movement
This systematic review synthesizes research from 2020 to 2025 regarding deep learning and transfer learning for motor imagery EEG signals. T…
New deep learning techniques like transformers and meta-learning help decode brain signals for movement, potentially moving brain-computer t…
Attentional dysfunction serves as a candidate organizing mechanism for persistent postural-perceptual dizziness
Attentional Issues May Be a Key Factor in Dizziness
This narrative review explores attentional dysfunction as a primary mechanism underlying persistent postural-perceptual dizziness. The autho…
New research suggests that problems with how the brain processes attention may be a central cause of persistent postural-perceptual dizzines…
Transcranial direct current stimulation combined with cognitive training yields largest improvements in post-stroke cognitive function
Brain stimulation and training help stroke survivors regain memory
This systematic review of 3,842 patients with post-stroke cognitive impairment found that transcranial direct current stimulation combined w…
New research shows that combining brain stimulation with cognitive training helps stroke survivors improve their memory and thinking skills.
Robot-assisted gait training improves balance, walking endurance, and spatiotemporal gait parameters in Parkinson's disease
Robot-Assisted Gait Training Shows Promise for Parkinson's Mobility
This meta-analysis evaluates the efficacy of robot-assisted gait training (RAGT) compared to conventional rehabilitation and other intervent…
Robot-assisted gait training may improve balance and walking endurance for people with Parkinson's disease compared to standard rehabilitati…
Technology Assisted Interventions Improve Gait and Balance in Children with Cerebral Palsy
Technology Assisted Training Improves Mobility for Children with Cerebral Palsy
Meta-analysis of 1,812 children shows robot-assisted gait training and virtual reality significantly improve mobility and motor function.
New technology like robot-assisted gait training and virtual reality can improve walking, balance, and motor skills for children with cerebr…
Robotics-based interventions show stronger evidence for improving upper-limb motor function after stroke
Robotics Show Strong Potential for Stroke Recovery of Arm Function
This systematic review and network meta-analysis of 1,145 stroke survivors evaluated virtual reality, robotics, and brain-computer interface…
New research suggests that robotics-based therapies may offer significant improvements for stroke survivors regaining movement in their arms…
Fresh-frozen plasma shows no protective effect against intraventricular hemorrhage in preterm infants
Trial Shows Fresh Frozen Plasma Does Not Prevent Brain Bleeding
In a target trial emulation of 748 preterm infants (gestational age ≤34 weeks) with prolonged aPTT (≥70 s), fresh-frozen plasma transfusion …
A study of 748 preterm infants found that fresh-frozen plasma transfusions did not provide a protective effect against intraventricular hemo…
Trastuzumab emtansine and sintilimab combination shows lesion size reduction in HER2-positive metastatic gallbladder adenocarcinoma
New drug combination shows promise for certain gallbladder cancer
This case report and literature review describes a 46-year-old male with HER2-positive metastatic gallbladder adenocarcinoma treated with tr…
A new treatment combination involving trastuzumab emtansine and sintilimab helped shrink tumors in a patient with a specific type of gallbla…
DEK emerges as neuron-specific ac4C-linked driver of neuroinflammation in Parkinson's disease
New research identifies a specific gene linked to Parkinson's disease
This multi-omics analysis with in vitro validation identifies 7 ac4C-associated risk genes in Parkinson's disease and stratifies patients in…
Researchers identified a specific gene and a potential new drug target to help manage inflammation in Parkinson's disease.
BCI-based interventions improve FMA-UE scores in patients with stroke and poststroke hemiplegia
Brain-computer interfaces show promise for stroke recovery and mobility
This network meta-analysis of 2906 patients with stroke and poststroke hemiplegia found that BCI-based interventions significantly improved …
New data shows that brain-computer interfaces can help stroke survivors regain arm movement and perform daily tasks more effectively.
Bright light therapy improves subjective sleep quality in adults with stroke
Bright Light Therapy May Improve Sleep Quality After Stroke
This systematic review and meta-analysis of 343 adults with stroke found that bright light therapy (BLT) significantly improves subjective s…
Bright light therapy may help improve how patients feel about their sleep quality after a stroke, though results on sleep continuity are les…
Wearable digital biomarkers show potential for neurorehabilitation monitoring, but evidence is heterogeneous and early
Wearable devices track movement and health for neurological recovery
This scoping review of 56 studies synthesizes evidence on wearable-derived digital biomarkers in neurological rehabilitation, focusing on st…
Wearable sensors can track movement and physical signs to help people recovering from stroke, Parkinson disease, and spinal cord injuries.