A new era of systems neuroscience in aphasia?

Ulm, Lena, Copland, David and Meinzer, Marcus (2016) A new era of systems neuroscience in aphasia?. Aphasiology, 1-23. doi:10.1080/02687038.2016.1227425


Author Ulm, Lena
Copland, David
Meinzer, Marcus
Title A new era of systems neuroscience in aphasia?
Journal name Aphasiology   Check publisher's open access policy
ISSN 1464-5041
0268-7038
Publication date 2016-08-31
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1080/02687038.2016.1227425
Open Access Status Not yet assessed
Start page 1
End page 23
Total pages 23
Place of publication Abingdon, Oxon, United Kingdom
Publisher Routledge
Language eng
Formatted abstract
Background: Systems neuroscience acknowledges that human brain function relies on complex interactions between specialised brain regions that are organised in widely distributed functional brain networks. This approach provides a powerful framework to investigate how local structural damage such as a stroke impacts language network reorganisation in aphasia patients and its relation to recovery.

Aims: In this paper we aim to familiarise the readers with the concept of systems neuroscience and its application in aphasia imaging.

Main Contribution: We briefly describe common analytic methods used in systems neuroscience with a focus on magnetic resonance imaging (MRI) based connectivity analyses. We describe task-based and resting-state functional MRI and diffusion weighted imaging based approaches that allow assessing functional and structural network characteristics in the human brain. Subsequently, we discuss recent studies that have used different network-level approaches to investigate recovery and treatment-induced neural reorganisation in aphasia.

Conclusions: This illustrative review highlights the potential of the novel systems neuroscience approach to improve our understanding of the neural mechanisms underlying recovery and treatment response in aphasia. We also discuss a number of key issues that need to be addressed in this emerging field before it can effectively contribute to clinical decision-making.
Keyword Aphasia
Systems neuroscience
Functional magnetic resonance imaging
Connectome
Brain networks
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: UQ Centre for Clinical Research Publications
HERDC Pre-Audit
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 22 Sep 2016, 17:46:51 EST by Marcus Meinzer on behalf of School of Health & Rehabilitation Sciences