scispace - formally typeset
Open AccessJournal ArticleDOI

Finding the Intersection of Neuroplasticity, Stroke Recovery, and Learning: Scope and Contributions to Stroke Rehabilitation.

Reads0
Chats0
TLDR
The identification of the common themes/topics that intersect the concepts of neuroplasticity, stroke recovery, and learning may be synthesised to advance a neuroscience-informed approach to stroke rehabilitation.
Abstract
Aim. Neural plastic changes are experience and learning dependent, yet exploiting this knowledge to enhance clinical outcomes after stroke is in its infancy. Our aim was to search the available evidence for the core concepts of neuroplasticity, stroke recovery, and learning; identify links between these concepts; and identify and review the themes that best characterise the intersection of these three concepts. Methods. We developed a novel approach to identify the common research topics among the three areas: neuroplasticity, stroke recovery, and learning. A concept map was created a priori, and separate searches were conducted for each concept. The methodology involved three main phases: data collection and filtering, development of a clinical vocabulary, and the development of an automatic clinical text processing engine to aid the process and identify the unique and common topics. The common themes from the intersection of the three concepts were identified. These were then reviewed, with particular reference to the top 30 articles identified as intersecting these concepts. Results. The search of the three concepts separately yielded 405,636 publications. Publications were filtered to include only human studies, generating 263,751 publications related to the concepts of neuroplasticity ( ), stroke recovery ( ), and learning ( ). A cluster concept map (network graph) was generated from the results; indicating the concept nodes, strength of link between nodes, and the intersection between all three concepts. We identified 23 common themes (topics) and the top 30 articles that best represent the intersecting themes. A time-linked pattern emerged. Discussion and Conclusions. Our novel approach developed for this review allowed the identification of the common themes/topics that intersect the concepts of neuroplasticity, stroke recovery, and learning. These may be synthesised to advance a neuroscience-informed approach to stroke rehabilitation. We also identified gaps in available literature using this approach. These may help guide future targeted research.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities

TL;DR: The self-building AI overcomes the limitations of traditional AI and enables data processing in dynamic smart city environments and can integrate the data analytics applications that currently work in silos with cloud computing platforms.
Journal ArticleDOI

Neuroplasticity of Acupuncture for Stroke: An Evidence-Based Review of MRI.

TL;DR: In this paper, a review on the evidence on the possible mechanisms underlying mechanisms of acupuncture therapy in treating stroke by regulating brain plasticity is presented, which may be linked to the mechanism effect of acupuncture.
Journal ArticleDOI

Artificial Intelligence in Clinical Neuroscience: Methodological and Ethical Challenges

TL;DR: This manuscript provides an overview of current AI-driven approaches to clinical neuroscience and an assessment of the associated key methodological and ethical challenges, and what normative safeguards should be enforced in this domain.
Journal ArticleDOI

Effects of Motor Imagery as a Complementary Resource on the Rehabilitation of Stroke Patients: A Meta-Analysis of Randomized Trials.

TL;DR: In this paper, the effects of using motor imagery as a complementary intervention for the rehabilitation of stroke patients were evaluated in a systematic review in MEDLINE/PubMed, Scopus, Web of Science, and PEDro databases.
Journal ArticleDOI

Gamifying Motor Rehabilitation Therapies: Challenges and Opportunities of Immersive Technologies

TL;DR: The extent to which common computer games or specifically crafted games can serve as a rehabilitation practice, but also how conventional therapeutic devices might be transformed to be incorporated into games is explored.
References
More filters
Journal Article

Natural Language Processing (Almost) from Scratch

TL;DR: A unified neural network architecture and learning algorithm that can be applied to various natural language processing tasks including part-of-speech tagging, chunking, named entity recognition, and semantic role labeling is proposed.
Journal ArticleDOI

Neural Substrates for the Effects of Rehabilitative Training on Motor Recovery After Ischemic Infarct

TL;DR: The results suggest that, after local damage to the motor cortex, rehabilitative training can shape subsequent reorganization in the adjacent intact cortex, and that the undamaged motor cortex may play an important role in motor recovery.
Journal ArticleDOI

Experience-dependent structural synaptic plasticity in the mammalian brain.

TL;DR: Recent evidence for structural forms of synaptic plasticity in the mammalian cortex involves cell type-specific structural plasticity: some boutons and dendritic spines appear and disappear, accompanied by synapse formation and elimination, respectively.
Book

The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data

TL;DR: Providing an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.
Journal ArticleDOI

Plasticity during stroke recovery: from synapse to behaviour.

TL;DR: Evidence from animal models suggests that a time-limited window of neuroplasticity opens following a stroke, during which the greatest gains in recovery occur, and how to optimally engage and modify surviving neuronal networks is studied.
Related Papers (5)