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Precise characterization of stroke lesions from MRI data has immense value in prognosticating clinical and cognitive outcomes following a stroke. Manual stroke lesion segmentation is time-consuming and requires the expertise of neurologists…

Image and Video Processing · Electrical Eng. & Systems 2025-01-28 Liang Shang , William A. Sethares , Anusha Adluru , Andrew L. Alexander , Vivek Prabhakaran , Veena A. Nair , Nagesh Adluru

Motor Imagery-Based Brain-Computer Interfaces (MI-BCIs) are systems that detect and interpret brain activity patterns linked to the mental visualization of movement, and then translate these into instructions for controlling external…

Signal Processing · Electrical Eng. & Systems 2025-09-01 Dario Sanalitro , Marco Finocchiaro , Pasquale Memmolo , Emanuela Cutuli , Maide Bucolo

Magnetic resonance imaging (MRI) is a central modality for stroke imaging. It is used upon patient admission to make treatment decisions such as selecting patients for intravenous thrombolysis or endovascular therapy. MRI is later used in…

Stroke patients have symptoms of cerebral functional disturbance that could aggressively impair patient's physical mobility, such as freezing of hand movements. Although rehabilitation training from external devices is beneficial for hand…

Signal Processing · Electrical Eng. & Systems 2020-06-30 Xiaotong Gu , Zehong Cao

Brain-Computer Interfaces (BCIs) enable converting the brain electrical activity of an interface user to the user commands. BCI research studies demonstrated encouraging results in different areas such as neurorehabilitation, control of…

Signal Processing · Electrical Eng. & Systems 2021-10-07 Alexandra Samsonova , Barry J. Devereux , Georgios Karakonstantis , Lev Mukhanov

We aim at an augmentation of communication abilities of amyotrophic lateral sclerosis (ALS) patients by creating a brain-computer interface (BCI) which can control a computer or other device by using only brain activity. As a method, we use…

Neurons and Cognition · Quantitative Biology 2014-11-27 Takumi Kodama , Shoji Makino , Tomasz M. Rutkowski

One third of stroke survivors have language difficulties. Emerging evidence suggests that their likelihood of recovery depends mainly on the damage to language centers. Thus previous research for predicting language recovery post-stroke has…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Yusuf H. Roohani , Noor Sajid , Pranava Madhyastha , Cathy J. Price , Thomas M. H. Hope

Brain-computer interfaces (BCIs) have shown promising results in restoring motor function to individuals with spinal cord injury. These systems have traditionally focused on the restoration of upper extremity function; however, the lower…

Neurons and Cognition · Quantitative Biology 2021-04-16 Po T. Wang , Colin M. McCrimmon , Susan J. Shaw , Hui Gong , Luis A. Chui , Payam Heydari , Charles Y. Liu , An H. Do , Zoran Nenadic

Brain parenchymal fraction (BPF) has been used as a surrogate measure of global brain atrophy, and as a biomarker of brain reserve in studies evaluating clinical outcomes after brain injury. Total brain volume at the time of injury has…

Neurons and Cognition · Quantitative Biology 2024-03-20 Kenda Alhadid , Robert W. Regenhardt , Natalia S. Rost , Markus D. Schirmer

Multiple brain injury criteria (BIC) are developed to quickly quantify brain injury risks after head impacts. These BIC originated from different types of head impacts (e.g., sports and car crashes) are widely used in risk evaluation.…

The present study evaluated the effectiveness of transcranial alternating current stimulation (tACS) treating patients with post-stroke anomia using a picture-naming task and a Single-Case Experimental Design (SCED). A right-handed…

Neurons and Cognition · Quantitative Biology 2026-05-12 Maria Martzoukou , Nefeli K. Dimitriou , Binbin Xu , Malo Renaud-D'Ambra , Anastasia Nousia , Anne Beuter , Grigorios Nasios

Stroke rehabilitation seeks to increase neuroplasticity through the repeated practice of functional motions, but may have minimal impact on recovery because of insufficient repetitions. The optimal training content and quantity are…

Assessing the quality of movements for post-stroke patients during the rehabilitation phase is vital given that there is no standard stroke rehabilitation plan for all the patients. In fact, it depends basically on the patient's functional…

Signal Processing · Electrical Eng. & Systems 2023-01-02 Asma Bensalah , Alicia Fornés , Cristina Carmona-Duarte , Josep Lladós

Spinal cord injury (SCI) is a debilitating condition that often results in significant motor and sensory deficits, impacting the quality of life. Current rehabilitation methods, including physical therapy and electrical stimulation, offer…

Neurons and Cognition · Quantitative Biology 2024-12-18 Ruidong Cheng , Yuling Shao , Xi Li , Li Zhang , Zehao Sheng , Chenyang Li , Xu Xie , Huilin Mou , Weidong Chen , Shaomin Zhang , Yuchen Xu , Minmin Wang

Brain-computer interfaces (BCIs) enable users to interact with the external world using brain activity. Despite their potential in neuroscience and industry, BCI performance remains inconsistent in noninvasive applications, often…

Neurons and Cognition · Quantitative Biology 2024-07-17 Juliana Gonzalez-Astudillo , Fabrizio De Vico Fallani

Stroke is among the top three causes of death worldwide, and accurate identification of stroke lesion boundaries is critical for diagnosis and treatment. Supervised deep learning methods have emerged as the leading solution for stroke…

Image and Video Processing · Electrical Eng. & Systems 2025-05-30 Tianyi Ren , Juampablo E. Heras Rivera , Hitender Oswal , Yutong Pan , William Henry , Sophie Walters , Mehmet Kurt

Assistive mobile robots are a transformative technology that helps persons with disabilities regain the ability to move freely. Although autonomous wheelchairs significantly reduce user effort, they still require human input to allow users…

Robotics · Computer Science 2025-01-13 Xiaoshan Zhou , Carol M. Menassa , Vineet R. Kamat

Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the context necessary for individualising treatment. Here, we integrate all heterogenous data…

Computer has been incorporated into day to day activities of almost every field of human endeavour, offices to different shops. Therefore many people are now working with computer for longer hours of time. There is no doubt that this…

Human-Computer Interaction · Computer Science 2013-08-28 Olatunde Olabiyisi , Yusuff Akingboye , Adebayo Abayomi-Alli , Fred Izilein , Iyiola Adeleke

The brain computer interface (BCI) systems are utilized for transferring information among humans and computers by analyzing electroencephalogram (EEG) recordings.The process of mentally previewing a motor movement without generating the…

Human-Computer Interaction · Computer Science 2021-06-01 Nuri Korkan , Tamer Olmez , Zumray Dokur