Cognitive Profiles of Amyotrophic Lateral Sclerosis Differ in Resting-State Functional Connectivity: An fMRI Study.

amyotrophic lateral sclerosis (ALS) cognition cognitive dysfunction frontotemporal lobar degeneration resting-state functional magnetic resonance imaging

Journal

Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481

Informations de publication

Date de publication:
2021
Historique:
received: 17 03 2021
accepted: 17 05 2021
entrez: 12 7 2021
pubmed: 13 7 2021
medline: 13 7 2021
Statut: epublish

Résumé

Half of all amyotrophic lateral sclerosis-frontotemporal spectrum disorder (ALS-FTSD) patients are classified as cognitively impaired, of which 10% have frontotemporal dementia (FTD), and an additional 40% suffer from a frontotemporal syndrome not severe enough to be described as dementia (cognitively impaired/ALSci). As changes in cerebral function measured by resting-state magnet resonance imaging (rs-fMRI) are known in ALS, we investigated whether group differences in resting-state functional connectivity (RSFC) networks could be observed between ALS patients with different cognitive profiles against healthy controls (HC). Furthermore, we correlated cognition and motor functioning with network connectivity. Healthy controls, 69, and 97 ALS patients underwent functional MRI scanning and cognitive assessment. The ALS patients were categorized as non-impaired (ALSni; At a liberal alpha level of uncorrected Resting-state functional connectivity differs between cognitive profiles of ALS and is directly associated with clinical presentation, specifically with motor function, and cognitive shifting.

Sections du résumé

BACKGROUND BACKGROUND
Half of all amyotrophic lateral sclerosis-frontotemporal spectrum disorder (ALS-FTSD) patients are classified as cognitively impaired, of which 10% have frontotemporal dementia (FTD), and an additional 40% suffer from a frontotemporal syndrome not severe enough to be described as dementia (cognitively impaired/ALSci). As changes in cerebral function measured by resting-state magnet resonance imaging (rs-fMRI) are known in ALS, we investigated whether group differences in resting-state functional connectivity (RSFC) networks could be observed between ALS patients with different cognitive profiles against healthy controls (HC). Furthermore, we correlated cognition and motor functioning with network connectivity.
METHODS METHODS
Healthy controls, 69, and 97 ALS patients underwent functional MRI scanning and cognitive assessment. The ALS patients were categorized as non-impaired (ALSni;
RESULTS RESULTS
At a liberal alpha level of uncorrected
CONCLUSION CONCLUSIONS
Resting-state functional connectivity differs between cognitive profiles of ALS and is directly associated with clinical presentation, specifically with motor function, and cognitive shifting.

Identifiants

pubmed: 34248485
doi: 10.3389/fnins.2021.682100
pmc: PMC8261303
doi:

Types de publication

Journal Article

Langues

eng

Pagination

682100

Informations de copyright

Copyright © 2021 Temp, Dyrba, Büttner, Kasper, Machts, Kaufmann, Vielhaber, Teipel and Prudlo.

Déclaration de conflit d'intérêts

ST participated in scientific advisory boards of Roche Pharma AG, Biogen, Grifols SA, Dr Willmar Schwabe GmbH & Co. KG, and MSD, and received lecture fees from Roche Pharma AG and MSD. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Références

J Neurol Neurosurg Psychiatry. 2016 Jun;87(6):611-9
pubmed: 26283685
Arch Neurol. 2007 Apr;64(4):530-4
pubmed: 17420314
Ann Med. 2012 Dec;44(8):817-28
pubmed: 22420316
Hum Brain Mapp. 2016 Apr;37(4):1614-26
pubmed: 26833930
Trends Cogn Sci. 2012 Dec;16(12):584-92
pubmed: 23142417
Front Mol Neurosci. 2016 Oct 13;9:92
pubmed: 27790088
J Neurol Neurosurg Psychiatry. 2010 Jun;81(6):611-8
pubmed: 20522870
Hum Brain Mapp. 2019 Nov 1;40(16):4827-4842
pubmed: 31348605
J Alzheimers Dis. 2013;35(4):751-60
pubmed: 23481685
Lancet Neurol. 2010 Oct;9(10):995-1007
pubmed: 20864052
J Am Geriatr Soc. 2005 Apr;53(4):695-9
pubmed: 15817019
Front Neurol. 2018 May 24;9:364
pubmed: 29881369
Front Psychol. 2013 Nov 26;4:863
pubmed: 24324449
Front Aging Neurosci. 2018 Jul 17;10:215
pubmed: 30065647
Sci Rep. 2017 Jan 09;7:40252
pubmed: 28067298
Cortex. 2017 Dec;97:1-16
pubmed: 29073458
J Neurol Neurosurg Psychiatry. 2015 Feb;86(2):168-73
pubmed: 24769471
Cereb Cortex. 2007 Nov;17(11):2625-33
pubmed: 17264254
Arch Neurol. 2009 Feb;66(2):180-9
pubmed: 19204154
Brain. 2011 Sep;134(Pt 9):2456-77
pubmed: 21810890
Amyotroph Lateral Scler Frontotemporal Degener. 2017 May;18(3-4):153-174
pubmed: 28054827
Arch Neurol. 2006 Mar;63(3):345-52
pubmed: 16533961
J Neurol Neurosurg Psychiatry. 2018 Aug;89(8):817-827
pubmed: 29650794
J Neurol. 2013 Nov;260(11):2856-64
pubmed: 23996101
Neuroreport. 2013 Aug 21;24(12):657-62
pubmed: 23839257
Neurology. 2016 Sep 6;87(10):1019-23
pubmed: 27488596
Amyotroph Lateral Scler Frontotemporal Degener. 2014 Dec;15(7-8):537-45
pubmed: 24862983
Amyotroph Lateral Scler Other Motor Neuron Disord. 2000 Dec;1(5):293-9
pubmed: 11464847
Neurology. 2010 Dec 14;75(24):2204-11
pubmed: 21172843
Neuroimage. 2008 Jul 1;41(3):1168-76
pubmed: 18434203
Neurobiol Aging. 2013 Feb;34(2):419-27
pubmed: 22608240
J Neurol Sci. 2001 Oct 15;191(1-2):103-9
pubmed: 11676999
Front Syst Neurosci. 2010 May 14;4:13
pubmed: 20577591
Neurology. 2010 Apr 20;74(16):1252-9
pubmed: 20404306
Amyotroph Lateral Scler Frontotemporal Degener. 2015 Jun;16(3-4):160-71
pubmed: 25967541
PLoS One. 2010 Oct 27;5(10):e13664
pubmed: 21060689
Front Aging Neurosci. 2017 Nov 07;9:351
pubmed: 29163133
Neurobiol Aging. 2014 Jan;35(1):240-6
pubmed: 23992619
Sci Rep. 2016 Dec 08;6:38391
pubmed: 27929102
Patient Relat Outcome Meas. 2020 Sep 22;11:181-194
pubmed: 33061727
Exp Neurol. 2009 May;217(1):147-53
pubmed: 19416664
Neuroscientist. 2014 Apr;20(2):150-9
pubmed: 23835449
J Neurophysiol. 2003 Nov;90(5):3384-97
pubmed: 12917383
J Grad Med Educ. 2012 Sep;4(3):279-82
pubmed: 23997866
Brain. 2010 Jun;133(Pt 6):1612-21
pubmed: 20356855
Front Syst Neurosci. 2010 Dec 31;4:158
pubmed: 21228916
Neurology. 2009 May 5;72(18):1562-9
pubmed: 19414722

Auteurs

Anna G M Temp (AGM)

German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.

Martin Dyrba (M)

German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.

Charlotte Büttner (C)

German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.

Elisabeth Kasper (E)

Department of Neurology, Rostock University Medical Center, Rostock, Germany.

Judith Machts (J)

German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Jörn Kaufmann (J)

Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Stefan Vielhaber (S)

German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
Department of Neurology, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.

Stefan Teipel (S)

German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Department of Psychosomatic Medicine, Rostock University Medical Center, Rostock, Germany.

Johannes Prudlo (J)

German Center for Neurodegenerative Diseases (DZNE), Rostock, Germany.
Department of Neurology, Rostock University Medical Center, Rostock, Germany.

Classifications MeSH