David Saldana

TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.

TL;DR: Assessment of the principles of VR and BCI in a platform called REINVENT shows that this EEG-based BCI can be safely used over repeated sessions by stroke survivors across a wide range of motor disabilities, and individual results suggest that patients with more severe motor impairments may benefit the most from EEG- based neurofeedback, while patients withMore mild impairments might benefit more from EMG-based feedback, harnessing existing sensorimotor pathways.

TL;DR: Existing research on how immersive virtual reality has been used for different clinical populations in adult physical rehabilitation is reviewed to highlight emerging opportunities in this field for occupational therapists.

TL;DR: This work uses a well-established test of skilled motor learning, the Sequential Visual Isometric Pinch Task, to train individuals in either an HMD-VR or conventional training (CT) environment, and shows that participants who train in the CT environment have an improvement in motor performance when they transfer to the H MD-VR environment.

TL;DR: This work presents ATLAS (Anatomical Tracings of Lesions After Stroke), an open-source dataset of 304 T1-weighted MRIs with manually segmented lesions and metadata that can be used to train and test lesion segmentation algorithms and provides a standardized dataset for comparing the performance of different segmentation methods.