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@article{1546036,
author = {Klobušiaková, Patrícia and Mareček, Radek and Fousek, Jan and Výtvarová, Eva and Rektorová, Irena},
article_location = {Amsterdam},
article_number = {3},
doi = {http://dx.doi.org/10.3233/JAD-180834},
keywords = {Between-network connectivity; cognitive resting state brain networks; functional MRI; graph measures; longitudinal; mild cognitive impairment; Parkinson's disease; partial least squares analysis},
language = {eng},
issn = {1387-2877},
journal = {Journal of Alzheimers Disease},
title = {Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study},
url = {https://content.iospress.com/download/journal-of-alzheimers-disease/jad180834?id=journal-of-alzheimers-disease%2Fjad180834},
volume = {67},
year = {2019}
}
TY - JOUR
ID - 1546036
AU - Klobušiaková, Patrícia - Mareček, Radek - Fousek, Jan - Výtvarová, Eva - Rektorová, Irena
PY - 2019
TI - Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study
JF - Journal of Alzheimers Disease
VL - 67
IS - 3
SP - 971-984
EP - 971-984
PB - IOS Press
SN - 13872877
KW - Between-network connectivity
KW - cognitive resting state brain networks
KW - functional MRI
KW - graph measures
KW - longitudinal
KW - mild cognitive impairment
KW - Parkinson's disease
KW - partial least squares analysis
UR - https://content.iospress.com/download/journal-of-alzheimers-disease/jad180834?id=journal-of-alzheimers-disease%2Fjad180834
L2 - https://content.iospress.com/download/journal-of-alzheimers-disease/jad180834?id=journal-of-alzheimers-disease%2Fjad180834
N2 - Background: Cognitive impairment in Parkinson's disease (PD) is associated with altered connectivity of the resting state networks (RSNs). Longitudinal studies in well cognitively characterized PD subgroups are missing. Objectives: To assess changes of the whole-brain connectivity and between-network connectivity (BNC) of large-scale functional networks related to cognition in well characterized PD patients using a longitudinal study design and various analytical methods. Methods: We explored the whole-brain connectivity and BNC of the frontoparietal control network (FPCN) and the default mode, dorsal attention, and visual networks in PD with normal cognition (PD-NC, n= 17) and mild cognitive impairment (PD-MCI, n= 22) as compared to 51 healthy controls (HC). We applied regions of interest-based, partial least squares, and graph theory based network analyses. The differences among groups were analyzed at baseline and at the one-year follow-up visit (37 HC, 23 PD all). Results: The BNC of the FPCN and other RSNs was reduced, and the whole-brain analysis revealed increased characteristic path length and decreased average node strength, clustering coefficient, and global efficiency in PD-NC compared to HC. Values of all measures in PD-MCI were between that of HC and PD-NC. After one year, the BNC was further increased in the PD-all group; no changes were detected in HC. No cognitive domain z-scores deteriorated in either group. Conclusion: As compared to HC, PD-NC patients display a less efficient transfer of information globally and reduced BNC of the visual and frontoparietal control network. The BNC increases with time and MCI status, reflecting compensatory efforts.
ER -
KLOBUŠIAKOVÁ, Patrícia, Radek MAREČEK, Jan FOUSEK, Eva VÝTVAROVÁ a Irena REKTOROVÁ. Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study. \textit{Journal of Alzheimers Disease}. Amsterdam: IOS Press, 2019, roč.~67, č.~3, s.~971-984. ISSN~1387-2877. Dostupné z: https://dx.doi.org/10.3233/JAD-180834.
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