• Je něco špatně v tomto záznamu ?

Global functional connectivity reorganization reflects cognitive processing speed deficits and fatigue in multiple sclerosis

P. Hok, QT. Thai, BR. Bučková, M. Domin, K. Řasová, J. Tintěra, M. Lotze, M. Grothe, J. Hlinka

. 2025 ; 32 (1) : e16421. [pub] 20240726

Jazyk angličtina Země Anglie, Velká Británie

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc25002944

Grantová podpora
260648/SVV/2024 Univerzita Karlova v Praze
programme Cooperatio (Neuroscience) Univerzita Karlova v Praze
CZ.02.01.01/00/22_008/0004643 European Regional Development Fund

BACKGROUND AND PURPOSE: Cognitive impairment (CI) in multiple sclerosis (MS) is associated with bidirectional changes in resting-state centrality measures. However, practicable functional magnetic resonance imaging (fMRI) biomarkers of CI are still lacking. The aim of this study was to assess the graph-theory-based degree rank order disruption index (kD) and its association with cognitive processing speed as a marker of CI in patients with MS (PwMS) in a secondary cross-sectional fMRI analysis. METHODS: Differentiation between PwMS and healthy controls (HCs) using kD and its correlation with CI (Symbol Digit Modalities Test) was compared to established imaging biomarkers (regional degree, volumetry, diffusion-weighted imaging, lesion mapping). Additional associations were assessed for fatigue (Fatigue Scale for Motor and Cognitive Functions), gait and global disability. RESULTS: Analysis in 56 PwMS and 58 HCs (35/27 women, median age 45.1/40.5 years) showed lower kD in PwMS than in HCs (median -0.30/-0.06, interquartile range 0.55/0.54; p = 0.009, Mann-Whitney U test), yielding acceptable yet non-superior differentiation (area under curve 0.64). kD and degree in medial prefrontal cortex (MPFC) correlated with CI (kD/MPFC Spearman's ρ = 0.32/-0.45, p = 0.019/0.001, n = 55). kD also explained fatigue (ρ = -0.34, p = 0.010, n = 56) but neither gait nor disability. CONCLUSIONS: kD is a potential biomarker of CI and fatigue warranting further validation.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc25002944
003      
CZ-PrNML
005      
20250206103950.0
007      
ta
008      
250121s2025 enk f 000 0|eng||
009      
AR
024    7_
$a 10.1111/ene.16421 $2 doi
035    __
$a (PubMed)39058296
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a enk
100    1_
$a Hok, Pavel $u Department of Neurology, University Medicine Greifswald, Greifswald, Germany $u Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany $u Department of Neurology, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia $1 https://orcid.org/000000031010384X
245    10
$a Global functional connectivity reorganization reflects cognitive processing speed deficits and fatigue in multiple sclerosis / $c P. Hok, QT. Thai, BR. Bučková, M. Domin, K. Řasová, J. Tintěra, M. Lotze, M. Grothe, J. Hlinka
520    9_
$a BACKGROUND AND PURPOSE: Cognitive impairment (CI) in multiple sclerosis (MS) is associated with bidirectional changes in resting-state centrality measures. However, practicable functional magnetic resonance imaging (fMRI) biomarkers of CI are still lacking. The aim of this study was to assess the graph-theory-based degree rank order disruption index (kD) and its association with cognitive processing speed as a marker of CI in patients with MS (PwMS) in a secondary cross-sectional fMRI analysis. METHODS: Differentiation between PwMS and healthy controls (HCs) using kD and its correlation with CI (Symbol Digit Modalities Test) was compared to established imaging biomarkers (regional degree, volumetry, diffusion-weighted imaging, lesion mapping). Additional associations were assessed for fatigue (Fatigue Scale for Motor and Cognitive Functions), gait and global disability. RESULTS: Analysis in 56 PwMS and 58 HCs (35/27 women, median age 45.1/40.5 years) showed lower kD in PwMS than in HCs (median -0.30/-0.06, interquartile range 0.55/0.54; p = 0.009, Mann-Whitney U test), yielding acceptable yet non-superior differentiation (area under curve 0.64). kD and degree in medial prefrontal cortex (MPFC) correlated with CI (kD/MPFC Spearman's ρ = 0.32/-0.45, p = 0.019/0.001, n = 55). kD also explained fatigue (ρ = -0.34, p = 0.010, n = 56) but neither gait nor disability. CONCLUSIONS: kD is a potential biomarker of CI and fatigue warranting further validation.
650    _2
$a lidé $7 D006801
650    _2
$a ženské pohlaví $7 D005260
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a dospělí $7 D000328
650    12
$a únava $x patofyziologie $x etiologie $x diagnostické zobrazování $7 D005221
650    12
$a roztroušená skleróza $x komplikace $x diagnostické zobrazování $x patofyziologie $7 D009103
650    12
$a magnetická rezonanční tomografie $7 D008279
650    _2
$a průřezové studie $7 D003430
650    _2
$a kognitivní dysfunkce $x etiologie $x patofyziologie $x diagnostické zobrazování $7 D060825
650    _2
$a rychlost zpracování $7 D000094725
655    _2
$a časopisecké články $7 D016428
700    1_
$a Thai, Quang Thong $u Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
700    1_
$a Bučková, Barbora Rehák $u Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czechia $u Department of Cognitive Neuroscience, Radboud University Medical Centre, Nijmegen, The Netherlands
700    1_
$a Domin, Martin $u Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
700    1_
$a Řasová, Kamila $u Department of Rehabilitation, Third Faculty of Medicine, Charles University, Prague, Czechia
700    1_
$a Tintěra, Jaroslav $u Radiodiagnostic and Interventional Radiology Department, Institute for Clinical and Experimental Medicine, Prague, Czechia
700    1_
$a Lotze, Martin $u Functional Imaging Unit, Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany $1 https://orcid.org/0000000345194956
700    1_
$a Grothe, Matthias $u Department of Neurology, University Medicine Greifswald, Greifswald, Germany
700    1_
$a Hlinka, Jaroslav $u Department of Complex Systems, Institute of Computer Science of the Czech Academy of Sciences, Prague, Czechia
773    0_
$w MED00001629 $t European journal of neurology $x 1468-1331 $g Roč. 32, č. 1 (2025), s. e16421
856    41
$u https://pubmed.ncbi.nlm.nih.gov/39058296 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y - $z 0
990    __
$a 20250121 $b ABA008
991    __
$a 20250206103945 $b ABA008
999    __
$a ok $b bmc $g 2263000 $s 1238951
BAS    __
$a 3
BAS    __
$a PreBMC-MEDLINE
BMC    __
$a 2025 $b 32 $c 1 $d e16421 $e 20240726 $i 1468-1331 $m European journal of neurology $n Eur J Neurol $x MED00001629
GRA    __
$a 260648/SVV/2024 $p Univerzita Karlova v Praze
GRA    __
$a programme Cooperatio (Neuroscience) $p Univerzita Karlova v Praze
GRA    __
$a CZ.02.01.01/00/22_008/0004643 $p European Regional Development Fund
LZP    __
$a Pubmed-20250121

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...