Introduction: Brain computer interface is an emerging technology to treat the sequelae of stroke. The purpose of this study was to explore the motor imagery related desynchronization of sensorimotor rhythms of stroke patients and to assess the efficacy of an upper limb neurorehabilitation therapy based on functional electrical stimulation controlled by a brain computer interface.
Methods: Eight severe chronic stroke patients were recruited. The study consisted of two stages: screening and therapy. During screening, the ability of patients to desynchronize the contralateral oscillatory sensorimotor rhythms by motor imagery of the most affected hand was assessed. In the second stage, a therapeutic intervention was performed. It involved 20 sessions where an electrical stimulator was activated when the patient's cerebral activity related to motor imagery was detected. The upper limb was assessed, before and after the intervention, by the Fugl-Meyer score (primary outcome). Spasticity, motor activity, range of movement and quality of life were also evaluated (secondary outcomes).
Results: Desynchronization was identified in all screened patients. Significant post-treatment improvement ( < 0.05) was detected in the primary outcome measure and in the majority of secondary outcome scores.
Conclusions: The results suggest that the proposed therapy could be beneficial in the neurorehabilitation of stroke individuals.
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http://dx.doi.org/10.1177/2055668318789280 | DOI Listing |
Handb Clin Neurol
March 2025
Department of Psychology, University of Campania 'Luigi Vanvitelli', Caserta, Italy. Electronic address:
This chapter deals with the unique human abilities of using tools, imitating others' gestures, drawing, and building complex items. Herein, after a brief overview of clinical manifestations and assessment of disorders of tool use and imitation (upper limb apraxia) and of the impairments in drawing and assembling multipart objects (constructional apraxia), brain asymmetries are discussed mainly starting from the neuropsychologic studies on patients with focal brain lesions, although both upper limb apraxia and constructional apraxia are often observed during the course of neurodegenerative diseases. Although no room is allowed here for a full discussion of brain-behavior relationships, relevant functional neuroimaging findings in healthy individuals are considered.
View Article and Find Full Text PDFHandb Clin Neurol
March 2025
Western Institute for Neuroscience, Western University, London, ON, Canada; Department of Computer Science, Western University, London, ON, Canada; Department of Statistical and Actuarial Sciences, Western University, London, ON, Canada.
The cerebellum is a subcortical structure tucked underneath the cerebrum that contains the majority of neurons in the brain, despite its small size. While it has received less attention in the study of brain asymmetries than the cerebrum, structural asymmetries in the cerebellum have been found in cerebellar volume that mirror cerebral asymmetries. Larger cerebellar structures have been reported on the right compared to the left, either for the whole cerebellar hemisphere or the anterior part of the cerebellum, with the latter accompanied by a left increase in the posterior cerebellum.
View Article and Find Full Text PDFComput Med Imaging Graph
March 2025
School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, 200230, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China. Electronic address:
Magnetic Resonance Imaging (MRI) has become a pivotal tool in diagnosing brain diseases, with a wide array of computer-aided artificial intelligence methods being proposed to enhance diagnostic accuracy. However, early studies were often limited by small-scale datasets and a narrow range of disease types, which posed challenges in model generalization. This study presents UniBrain, a hierarchical knowledge-enhanced pre-training framework designed for universal brain MRI diagnosis.
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March 2025
Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain. Electronic address:
Diffusion Magnetic Resonance Imaging (dMRI) sensitises the MRI signal to spin motion. This includes Brownian diffusion, but also flow across intricate networks of capillaries. This effect, the intra-voxel incoherent motion (IVIM), enables microvasculature characterisation with dMRI, through metrics such as the vascular signal fraction f or the vascular Apparent Diffusion Coefficient (ADC) D.
View Article and Find Full Text PDFJ Neural Eng
March 2025
Defense Innovation Institute, Academy of Military Sciences (AMS), Beijing, Beijing, 100094, CHINA.
In recent years, electroencephalogram (EEG)-based emotion recognition technology has made remarkable advances. However, a subtle but crucial problem caused by the sliding window method has long been overlooked, which is the serious quantity mismatch between stimuli and short-term EEG frames. This may be an important factor limiting the performance of the emotion recognition systems.
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