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.

Základní údaje

Originální název

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

Autoři

KLOBUŠIAKOVÁ, Patrícia (703 Slovensko, domácí), Radek MAREČEK (203 Česká republika, domácí), Jan FOUSEK (203 Česká republika, domácí), Eva VÝTVAROVÁ (203 Česká republika, domácí) a Irena REKTOROVÁ (203 Česká republika, garant, domácí)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30103 Neurosciences

Stát vydavatele

Nizozemské království

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.909

Kód RIV

RIV/00216224:14740/19:00108498

Organizační jednotka

Středoevropský technologický institut

DOI

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

UT WoS

000458503200015

Klíčová slova anglicky

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

Štítky

14110127, CF MAFIL, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 10. 2024 08:40, Ing. Jana Kuchtová

Anotace

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.

Návaznosti

EF16_013/0001775, projekt VaV

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

NV15-33854A, projekt VaV

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

90062, velká výzkumná infrastruktura

Název: Czech-BioImaging

Citovat

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. 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.

@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.

Podrobný výpis o publikaci