KLOBUŠIAKOVÁ, Patrícia, J. MEKYSKA, Luboš BRABENEC, Z. GALAZ, V. ZVONCAK, J. MUCHA, S.Z. RAPCSAK and Irena REKTOROVÁ. Articulatory network reorganization in Parkinson ? s disease as assessed by multimodal MRI and acoustic measures. PARKINSONISM & RELATED DISORDERS. OXFORD: ELSEVIER SCI LTD, vol. 84, MAR, p. 122-128. ISSN 1353-8020. doi:10.1016/j.parkreldis.2021.02.012. 2021.
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Basic information
Original name Articulatory network reorganization in Parkinson ? s disease as assessed by multimodal MRI and acoustic measures
Authors KLOBUŠIAKOVÁ, Patrícia (703 Slovakia, belonging to the institution), J. MEKYSKA (203 Czech Republic), Luboš BRABENEC (203 Czech Republic, belonging to the institution), Z. GALAZ, V. ZVONCAK, J. MUCHA, S.Z. RAPCSAK and Irena REKTOROVÁ (203 Czech Republic, guarantor, belonging to the institution).
Edition PARKINSONISM & RELATED DISORDERS, OXFORD, ELSEVIER SCI LTD, 2021, 1353-8020.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.402
RIV identification code RIV/00216224:14740/21:00120169
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1016/j.parkreldis.2021.02.012
UT WoS 000632026700020
Keywords in English Acoustic analysis; Hypokinetic dysarthria; fMRI; Parkinson?s disease; Voxel-based morphometry; Resting-state functional connectivity
Tags 14110127, CF MAFIL, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 22/3/2022 18:46.
Abstract
Introduction: Hypokinetic dysarthria (HD) is common in Parkinson?s disease (PD). Our objective was to evaluate articulatory networks and their reorganization due to PD pathology in individuals without overt speech impairment using a multimodal MRI protocol and acoustic analysis of speech. Methods: A total of 34 PD patients with no subjective HD complaints and 25 age-matched healthy controls (HC) underwent speech task recordings, structural MRI, and reading task-induced and resting-state fMRI. Grey matter probability maps, task-induced activations, and resting-state functional connectivity within the regions engaged in speech production (ROIs) were assessed and compared between groups. Correlation with acoustic parameters was also performed. Results: PD patients as compared Tto HC displayed temporal decreases in speech loudness which were related to BOLD signal increases in the right-sided regions of the dorsal language pathway/articulatory network. Among those regions, activation of the right anterior cingulate was increased in PD as compared to HC. We also found bilateral posterior superior temporal gyrus (STG) GM loss in PD as compared to HC that was strongly associated with diadochokinetic (DDK) irregularity in the PD group. Task-induced activations of the left STG were increased in PD as compared to HC and were related to the DDK rate control. Conclusions: The results provide insight into the neural correlates of speech production control and distinct articulatory network reorganization in PD apparent already in patients without subjective speech impairment.
Links
EF16_013/0001775, research and development projectName: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging
LM2015062, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování
Investor: Ministry of Education, Youth and Sports of the CR
LM2018129, research and development projectName: Národní infrastruktura pro biologické a medicínské zobrazování Czech-BioImaging
Investor: Ministry of Education, Youth and Sports of the CR
NU20-04-00294, research and development projectName: Diagnostika onemocnění s Lewyho tělísky v prodromálním stadiu založená na analýze multimodálních dat
Investor: Ministry of Health of the CR, Diagnostics of Lewy body diseases in prodromal stage based on multimodal data analysis
734718, interní kód MUName: Novel Network-Based Approaches for Studying Cognitive Dysfunction in Behavioral Neurology (Acronym: CoBeN)
Investor: European Union, MSCA Marie Skłodowska-Curie Actions (Excellent Science)
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