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Specialty: Neuroscience
Education: Learning
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Total 286 results found since Jan 2013.
The right uncinate fasciculus supports verbal short-term memory in aphasia
Brain Struct Funct. 2023 Apr 2. doi: 10.1007/s00429-023-02628-9. Online ahead of print.ABSTRACTVerbal short-term memory (STM) deficits are associated with language processing impairments in people with aphasia. Importantly, the integrity of STM can predict word learning ability and anomia therapy gains in aphasia. While the recruitment of perilesional and contralesional homologous brain regions has been proposed as a possible mechanism for aphasia recovery, little is known about the white-matter pathways that support verbal STM in post-stroke aphasia. Here, we investigated the relationships between the language-related whi...
Source: Brain Structure and Function - April 3, 2023 Category: Neuroscience Authors: Guillem Oliv é Claudia Pe ñaloza Luc ía Vaquero Matti Laine Nadine Martin Antoni Rodriguez-Fornells Source Type: research
A Machine Learning-Based Initial Difficulty Level Adjustment Method for Balance Exercise on a Trunk Rehabilitation Robot
Trunk rehabilitation exercises such as those for remediating core stability can help improve the seated balance of patients with weakness or loss of proprioception caused by diseases such as stroke, and aid the recovery of other functions such as gait. However, there has not yet been any reported method for automatically determining the parameters that define exercise difficulty on a trunk rehabilitation robot (TRR) based on data such as the patient’s demographic information, balancing ability, and training sequence, etc. We have proposed a machine learning (ML)-based difficulty adjustment method to determine an app...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 31, 2023 Category: Neuroscience Source Type: research
Learning Post-Stroke Gait Training Strategies by Modeling Patient-Therapist Interaction
For safe and effective robot-aided gait training, it is essential to incorporate the knowledge and expertise of physical therapists. Toward this goal, we directly learn from physical therapists’ demonstrations of manual gait assistance in stroke rehabilitation. Lower-limb kinematics of patients and assistive force applied by therapists to the patient’s leg are measured using a wearable sensing system which includes a custom-made force sensing array. The collected data is then used to characterize a therapist’s strategies in response to unique gait behaviors found within a patient’s gait. Prelimi...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - March 23, 2023 Category: Neuroscience Source Type: research
Multi-focal Stimulation of the Cortico-cerebellar Loop During the Acquisition of a Novel Hand Motor Skill in Chronic Stroke Survivors
Cerebellum. 2023 Feb 18. doi: 10.1007/s12311-023-01526-4. Online ahead of print.ABSTRACTImpairment of hand motor function is a frequent consequence after a stroke and strongly determines the ability to regain a self-determined life. An influential research strategy for improving motor deficits is the combined application of behavioral training and non-invasive brain stimulation of the motor cortex (M1). However, a convincing clinical translation of the present stimulation strategies has not been achieved yet. One alternative and innovative approach is to target the functionally relevant brain network-based architecture, e....
Source: Cerebellum - February 21, 2023 Category: Neuroscience Authors: M J Wessel L R Draaisma M Durand-Ruel P Maceira-Elvira M Moyne J-L Turlan A M ühl L Chauvign é P J Koch T Morishita A G Guggisberg F C Hummel Source Type: research
Electric field simulations of transcranial direct current stimulation in children with perinatal stroke
DiscussionIndividualized patient-centered tDCS EF simulations are prudent for clinical trial planning and may provide insight into the efficacy of tDCS interventions in children with PS.
Source: Frontiers in Human Neuroscience - February 2, 2023 Category: Neuroscience Source Type: research
AI-Driven Stroke Rehabilitation Systems and Assessment: A Systematic Review
This article reviews seminal works from 2013 onwards, qualitatively and quantitatively adapting the PRISMA approach to examine the potential of robot-assisted, virtual reality-based rehabilitation and automated assessments through data-driven learning. Extensive experimentation on KIMORE and UI-PRMD datasets reveal high agreement between automated methods and therapists. Our investigation shows that deep learning with spatio-temporal skeleton data and dynamic attention outperforms others, with an RMSE as low as 0.55. Fully automated rehabilitation is still in development, but, being an active research topic, it could haste...
Source: IEE Transactions on Neural Systems and Rehabilitation Engineering - January 31, 2023 Category: Neuroscience Source Type: research
Small vessel disease burden predicts functional outcomes in patients with acute ischemic stroke using machine learning
CONCLUSIONS: Our results revealed that different SVD markers had distinct prognostic weights in AIS patients, and SVD burden alone may accurately predict the SVO-AIS patients' prognosis.PMID:36650639 | DOI:10.1111/cns.14071
Source: CNS Neuroscience and Therapeutics - January 17, 2023 Category: Neuroscience Authors: Xueyang Wang Jinhao Lyu Zhihua Meng Xiaoyan Wu Wen Chen Guohua Wang Qingliang Niu Xin Li Yitong Bian Dan Han Weiting Guo Shuai Yang Xiangbing Bian Yina Lan Liuxian Wang Qi Duan Tingyang Zhang Caohui Duan Chenglin Tian Ling Chen Xin Lou MR-STARS Investigat Source Type: research
Resting-State Functional Networks Correlate with Motor Performance in a Complex Visuomotor Task: An EEG Microstate Pilot Study on Healthy Individuals
Brain Topogr. 2022 Dec 25. doi: 10.1007/s10548-022-00934-9. Online ahead of print.ABSTRACTDeveloping motor and cognitive skills is needed to achieve expert (motor) performance or functional recovery from a neurological condition, e.g., after stroke. While extensive practice plays an essential role in the acquisition of good motor performance, it is still unknown whether certain person-specific traits may predetermine the rate of motor learning. In particular, learners' functional brain organisation might play an important role in appropriately performing motor tasks. In this paper, we aimed to study how two critical cognit...
Source: Brain Topography - December 25, 2022 Category: Neuroscience Authors: Joaquin A Penalver-Andres Karin A Buetler Thomas Koenig Ren é M Müri Laura Marchal-Crespo Source Type: research
Is Matrix Metalloproteinase-9 Associated with Post-Stroke Cognitive Impairment or Dementia?
CONCLUSIONS: MMP-9 level and MMP-9 rs3918242 polymorphism have an important role in the occurrence and development of post-stroke cognitive impairment or dementia (PSCID).PMID:36424752 | DOI:10.31083/j.jin2106160
Source: Journal of Integrative Neuroscience - November 25, 2022 Category: Neuroscience Authors: Jianhua Zhao Fangli Yang Xue Peng Qing Li Fan Wang Zhixiu Xu Ruiyan Cai Danxia Ji Jian Zhang Minghua Wang Qiong Li Sibei Ji Shaomin Li Source Type: research
