Connectivity Between Brain Networks Dynamically Reflects
Cognitive Status of Parkinson's Disease: A Longitudinal Study

J 2019

Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study

KLOBUŠIAKOVÁ, Patrícia, Radek MAREČEK, Jan FOUSEK, Eva VÝTVAROVÁ, Irena REKTOROVÁ et. al.

Basic information

Original name

Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study

Authors

KLOBUŠIAKOVÁ, Patrícia (703 Slovakia, belonging to the institution), Radek MAREČEK (203 Czech Republic, belonging to the institution), Jan FOUSEK (203 Czech Republic, belonging to the institution), Eva VÝTVAROVÁ (203 Czech Republic, belonging to the institution) and Irena REKTOROVÁ (203 Czech Republic, guarantor, belonging to the institution)

Edition

Journal of Alzheimers Disease, Amsterdam, IOS Press, 2019, 1387-2877

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.909

RIV identification code

RIV/00216224:14740/19:00108498

Organization unit

Central European Institute of Technology

DOI

http://dx.doi.org/10.3233/JAD-180834

UT WoS

000458503200015

Keywords in English

Between-network connectivity; cognitive resting state brain networks; functional MRI; graph measures; longitudinal; mild cognitive impairment; Parkinson's disease; partial least squares analysis

Abstract

V originále

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.

Links

EF16_013/0001775, research and development project

Name: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging

NV15-33854A, research and development project

Name: Efekt intenzivní tanečně-pohybové intervence na kognitivní funkce a změny mozkové plasticity zdravých seniorů a pacientů s mírnou kognitivní poruchou

90062, large research infrastructures

Name: Czech-BioImaging

Citovat

KLOBUŠIAKOVÁ, Patrícia, Radek MAREČEK, Jan FOUSEK, Eva VÝTVAROVÁ and Irena REKTOROVÁ. Connectivity Between Brain Networks Dynamically Reflects Cognitive Status of Parkinson's Disease: A Longitudinal Study. Journal of Alzheimers Disease. Amsterdam: IOS Press, 2019, vol. 67, No 3, p. 971-984. ISSN 1387-2877. Available from: https://dx.doi.org/10.3233/JAD-180834.

@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 and 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, vol.~67, No~3, p.~971-984. ISSN~1387-2877. Available from: https://dx.doi.org/10.3233/JAD-180834.

Detailed Information on Publication Record