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Functional neuroanatomy of speech signal decoding in primary progressive aphasias

Hardy, CJD; Agustus, JL; Marshall, CR; Clark, CN; Russell, LL; Brotherhood, EV; Bond, RL; Fiford, CM; Ondobaka, S; Thomas, DL; et al. Hardy, CJD; Agustus, JL; Marshall, CR; Clark, CN; Russell, LL; Brotherhood, EV; Bond, RL; Fiford, CM; Ondobaka, S; Thomas, DL; Crutch, SJ; Rohrer, JD; Warren, JD (2017) Functional neuroanatomy of speech signal decoding in primary progressive aphasias. Neurobiology of Aging, 56. pp. 190-201. ISSN 0197-4580 https://doi.org/10.1016/j.neurobiolaging.2017.04.026
SGUL Authors: Clark, Camilla Neegaard

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Abstract

The pathophysiology of primary progressive aphasias remains poorly understood. Here, we addressed this issue using activation fMRI in a cohort of 27 patients with primary progressive aphasia (nonfluent, semantic, and logopenic variants) versus 15 healthy controls. Participants listened passively to sequences of spoken syllables in which we manipulated 3-key auditory speech signal characteristics: temporal regularity, phonemic spectral structure, and pitch sequence entropy. Relative to healthy controls, nonfluent variant patients showed reduced activation of medial Heschl's gyrus in response to any auditory stimulation and reduced activation of anterior cingulate to temporal irregularity. Semantic variant patients had relatively reduced activation of caudate and anterior cingulate in response to increased entropy. Logopenic variant patients showed reduced activation of posterior superior temporal cortex to phonemic spectral structure. Taken together, our findings suggest that impaired processing of core speech signal attributes may drive particular progressive aphasia syndromes and could index a generic physiological mechanism of reduced computational efficiency relevant to all these syndromes, with implications for development of new biomarkers and therapeutic interventions.

Item Type: Article
Additional Information: © 2017 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: 1103 Clinical Sciences, 1109 Neurosciences, Neurology & Neurosurgery
SGUL Research Institute / Research Centre: Academic Structure > Molecular and Clinical Sciences Research Institute (MCS)
Journal or Publication Title: Neurobiology of Aging
ISSN: 0197-4580
Language: en
Dates:
DateEvent
August 2017Published
10 May 2017Published Online
28 April 2017Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
AS-PG-16-007Alzheimer's SocietyUNSPECIFIED
CBRC 161National Institute for Health Researchhttp://dx.doi.org/10.13039/501100000272
ES/K006711/1Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
ART-SRF2010-3Alzheimer's Research UKUNSPECIFIED
091673/Z/10/ZWellcome Trusthttp://dx.doi.org/10.13039/100004440
URI: https://openaccess.sgul.ac.uk/id/eprint/112257
Publisher's version: https://doi.org/10.1016/j.neurobiolaging.2017.04.026

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