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Functional connectivity of spoken language processing in early-stage Parkinson's disease: An MEG study.

Authors
  • Hyder, Rasha1
  • Jensen, Mads2
  • Højlund, Andreas3
  • Kimppa, Lilli4
  • Bailey, Christopher J3
  • Schaldemose, Jeppe L5
  • Kinnerup, Martin B5
  • Østergaard, Karen6
  • Shtyrov, Yury7
  • 1 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Institute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany. Electronic address: [email protected] , (Germany)
  • 2 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Research Unit for Robophilosophy and Integrative Social Robotics, Aarhus University, Denmark. , (Denmark)
  • 3 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. , (Denmark)
  • 4 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Cognitive Brain Research Unit, Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland. , (Denmark)
  • 5 Department of Nuclear Medicine and PET Centre, Aarhus University Hospital, Aarhus, Denmark. , (Denmark)
  • 6 Sano Private Hospital, Denmark; Department of Neurology, Aarhus University Hospital (AUH), Denmark. , (Denmark)
  • 7 Center of Functionally Integrative Neuroscience (CFIN), Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Centre for Cognition and Decision Making, Institute for Cognitive Neuroscience, HSE University, Moscow, Russian Federation. Electronic address: [email protected] , (Denmark)
Type
Published Article
Journal
NeuroImage Clinical
Publisher
Elsevier
Publication Date
Jun 06, 2021
Volume
32
Pages
102718–102718
Identifiers
DOI: 10.1016/j.nicl.2021.102718
PMID: 34455187
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder, well-known for its motor symptoms; however, it also adversely affects cognitive functions, including language, a highly important human ability. PD pathology is associated, even in the early stage of the disease, with alterations in the functional connectivity within cortico-subcortical circuitry of the basal ganglia as well as within cortical networks. Here, we investigated functional cortical connectivity related to spoken language processing in early-stage PD patients. We employed a patient-friendly passive attention-free paradigm to probe neurophysiological correlates of language processing in PD patients without confounds related to active attention and overt motor responses. MEG data were recorded from a group of newly diagnosed PD patients and age-matched healthy controls who were passively presented with spoken word stimuli (action and abstract verbs, as well as grammatically correct and incorrect inflectional forms) while focussing on watching a silent movie. For each of the examined linguistic aspects, a logistic regression classifier was used to classify participants as either PD patients or healthy controls based on functional connectivity within the temporo-fronto-parietal cortical language networks. Classification was successful for action verbs (accuracy = 0.781, p-value = 0.003) and, with lower accuracy, for abstract verbs (accuracy = 0.688, p-value = 0.041) and incorrectly inflected forms (accuracy = 0.648, p-value = 0.021), but not for correctly inflected forms (accuracy = 0.523, p-value = 0.384). Our findings point to quantifiable differences in functional connectivity within the cortical systems underpinning language processing in newly diagnosed PD patients compared to healthy controls, which arise early, in the absence of clinical evidence of deficits in cognitive or general language functions. The techniques presented here may aid future work on establishing neurolinguistic markers to objectively and noninvasively identify functional changes in the brain's language networks even before clinical symptoms emerge. Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.

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