Neural Plasticity

Neuroplasticity of Language Networks

Publishing date
02 Dec 2016
Submission deadline
15 Jul 2016

1Northwestern University, Illinois, USA

2Mass General Hospital, Massachusetts, USA

3Boston University of California, Massachusetts, USA

4Johns Hopkins University, Maryland, USA

Neuroplasticity of Language Networks


Understanding how the brain recovers from impaired language processing resulting from injury (i.e., stroke) is relevant to efforts to optimize recovery of function as well as to addressing basic questions about neural plasticity in adulthood. It remains unclear (1) whether spared neural tissue within and/or outside the network for normal language processing is sufficiently plastic to support language recovery, (2) whether contralesional (usually right hemisphere) and/or ipsilesional (particularly perilesional) tissue is recruited, or whether domain-general cortical regions are critical in recovery, (3) which, if any, recruitment pattern is associated with better recovery, and (4) if recruitment patterns differ depending on domain of language impairment (i.e., morphosyntax, orthography, phonology, and semantics)? Also unclear is the impact on recovery of neurobiological variables, including lesion volume and location, vascular deficiencies (e.g., weak or delay hemodynamic response function, hypoperfusion), white matter integrity, and resting state connectivity as well as neurocognitive factors, including working memory and skill acquisition capacities (i.e., implicit and explicit learning).

The aim of this special issue is bringing together research addressing these questions in well-controlled studies using group or single-subject experimental approaches and state-of-the-art neuroimaging methods.

Potential topics include, but are not limited to:

  • The morphophysiological integrity of nonnecrosed neural tissue (e.g., contralesional and/or ipsilesional) and its role in language recovery
  • The role of white matter tracts in language recovery (e.g., longitudinal tractography studies)
  • Connectome-based examinations of language recovery in aphasia (e.g., language, default, and other networks)
  • Neurocognitive factors associated with language recovery (e.g., working memory, learning, and executive function)
  • The role of domain-specific treatment on recovery of language (e.g., morphosyntactic, orthographic, phonological, and semantic)


  • Special Issue
  • - Volume 2017
  • - Article ID 5601509
  • - Research Article

Right Hemisphere Grey Matter Volume and Language Functions in Stroke Aphasia

Sladjana Lukic | Elena Barbieri | ... | Cynthia K. Thompson
  • Special Issue
  • - Volume 2017
  • - Article ID 2361691
  • - Research Article

Intrahemispheric Perfusion in Chronic Stroke-Induced Aphasia

Cynthia K. Thompson | Matthew Walenski | ... | Todd B. Parrish
  • Special Issue
  • - Volume 2017
  • - Article ID 2761913
  • - Research Article

The Cognitive Neuroplasticity of Reading Recovery following Chronic Stroke: A Representational Similarity Analysis Approach

Simon Fischer-Baum | Ava Jang | David Kajander
  • Special Issue
  • - Volume 2017
  • - Article ID 8740353
  • - Research Article

Right Hemisphere Remapping of Naming Functions Depends on Lesion Size and Location in Poststroke Aphasia

Laura M. Skipper-Kallal | Elizabeth H. Lacey | ... | Peter E. Turkeltaub
  • Special Issue
  • - Volume 2016
  • - Article ID 8797086
  • - Research Article

The Role of the Cognitive Control System in Recovery from Bilingual Aphasia: A Multiple Single-Case fMRI Study

Narges Radman | Michael Mouthon | ... | Jean-Marie Annoni
  • Special Issue
  • - Volume 2016
  • - Article ID 9674790
  • - Review Article

Adaptive Plasticity in the Healthy Language Network: Implications for Language Recovery after Stroke

Gesa Hartwigsen
Neural Plasticity
 Journal metrics
See full report
Acceptance rate19%
Submission to final decision129 days
Acceptance to publication24 days
Journal Citation Indicator0.550
Impact Factor3.144

Article of the Year Award: Outstanding research contributions of 2021, as selected by our Chief Editors. Read the winning articles.