Cognitive Fatigue, Sleep and Cortical Activity in Multiple Sclerosis Disease. A Behavioral, Polysomnographic and Functional Near-Infrared Spectroscopy Investigation

被引:20
作者
Borragan, Guillermo [1 ,2 ,3 ]
Gilson, Medhi [1 ,2 ,3 ]
Atas, Anne [2 ,3 ,4 ]
Slama, Hichem [1 ,2 ,3 ,5 ,6 ]
Lysandropoulos, Andreas [7 ]
De Schepper, Melanie [1 ,2 ,3 ]
Peigneux, Philippe [1 ,2 ,3 ]
机构
[1] Univ Libre Bruxelles, Neuropsychol & Funct Neuroimaging Res, Brussels, Belgium
[2] Univ Libre Bruxelles, Ctr Rech Cognit & Neurosci, Brussels, Belgium
[3] Univ Libre Bruxelles, ULB Neurosci Inst, Brussels, Belgium
[4] Univ Libre Bruxelles, Consciousness Cognit & Computat Grp, Brussels, Belgium
[5] Univ Libre Bruxelles, Cognit Neurosci Res Unit, Brussels, Belgium
[6] Univ Libre Bruxelles, Erasme Hosp, Dept Clin & Cognit Neuropsychol, Brussels, Belgium
[7] Univ Libre Bruxelles, Erasme Hosp, Neuroimmunol Unit Multiple Sclerosis, Brussels, Belgium
关键词
cognitive fatigue; sleep; cortical activity; multiple sclerosis; fNRS; WORKING-MEMORY; BASAL GANGLIA; MS PATIENTS; SCALE; DISORDERS; ATTENTION; TASK; PHYSIOPATHOLOGY; REORGANIZATION; PLASTICITY;
D O I
10.3389/fnhum.2018.00378
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Patients with multiple sclerosis (MS) disease frequently experience fatigue as their most debilitating symptom. Fatigue in MS partially refers to a cognitive component, cognitive fatigue (CF), characterized by a faster and stronger than usual development of the subjective feeling of exhaustion that follows sustained cognitive demands. The feeling of CF might result from supplementary task-related brain activity following MS-related demyelination and neurodegeneration. Besides, CF in MS disease might also stem from disrupted sleep. The present study investigated the association between the triggering of CF, task-related brain activity and sleep features. In a counterbalance mixed design, 10 patients with MS and 11 healthy controls were exposed twice for 16 min to a CF-inducing dual working memory updating task (TloadDback) under low or high cognitive demands conditions, counterbalanced. Considering known inter-individual differences and potential cognitive deficits in MS, the maximal cognitive load of the task was individually adapted to each participant's own upper limits. During the experimental sessions, cortical brain activity was measured using near-infrared spectroscopy (NIRS) during the CF-induction task, and in a resting state immediately before and after. Ambulatory polysomnography recordings were obtained on the nights preceding experimental sessions. When cognitive load was individually adapted to their processing capabilities, patients with MS exhibited similar than healthy controls levels of subjectively perceived CF, evolution of performance during the task, and brain activity patterns. Linear mixed models indicate a negative association between oxygenation level changes in the dorsolateral prefrontal cortex (DLPFC) and the triggering of subjective CF in patients with MS only. Longer total sleep time was also associated with higher CF in MS patients. These results suggest that controlling for cognitive load between individuals with and without MS results in a similar task-related development of subjective CF. Besides comparable performance and cortical brain activity between groups, mixed model analyses suggest a possible association between CF, DLPFC activity and sleep duration in MS disease.
引用
收藏
页数:12
相关论文
共 72 条
[1]   Anatomical guidance for functional near-infrared spectroscopy: AtlasViewer tutorial [J].
Aasted, Christopher M. ;
Yuecel, Meryem A. ;
Cooper, Robert J. ;
Dubb, Jay ;
Tsuzuki, Daisuke ;
Becerra, Lino ;
Petkov, Mike P. ;
Borsook, David ;
Dan, Ippeita ;
Boas, David A. .
NEUROPHOTONICS, 2015, 2 (02)
[2]  
Adelman Gabriel, 2013, J Med Econ, V16, P639, DOI 10.3111/13696998.2013.778268
[3]   Efficiency of cognitive control recruitment in the very early stage of multiple sclerosis: a one-year fMRI follow-up study [J].
Audoin, B. ;
Reuter, F. ;
Duong, M. V. A. ;
Malikova, I. ;
Confort-Gouny, S. ;
Cherif, A. A. ;
Cozzone, P. J. ;
Pelletier, J. ;
Ranjeva, J. P. .
MULTIPLE SCLEROSIS JOURNAL, 2008, 14 (06) :786-792
[4]   Rules for Scoring Respiratory Events in Sleep: Update of the 2007 AASM Manual for the Scoring of Sleep and Associated Events [J].
Berry, Richard B. ;
Budhiraja, Rohit ;
Gottlieb, Daniel J. ;
Gozal, David ;
Iber, Conrad ;
Kapur, Vishesh K. ;
Marcus, Carole L. ;
Mehra, Reena ;
Parthasarathy, Sairam ;
Quan, Stuart F. ;
Redline, Susan ;
Strohl, Kingman P. ;
Ward, Sally L. Davidson ;
Tangredi, Michelle M. .
JOURNAL OF CLINICAL SLEEP MEDICINE, 2012, 8 (05) :597-619
[5]   The psychology of fatigue in patients with multiple sclerosis: A review [J].
Bol, Yvonne ;
Duits, Annelien A. ;
Hupperts, Raymond M. M. ;
Vlaeyen, Johan W. S. ;
Verhey, Frans R. J. .
JOURNAL OF PSYCHOSOMATIC RESEARCH, 2009, 66 (01) :3-11
[6]   Cognitive compensation failure in multiple sclerosis [J].
Bonnet, M. C. ;
Allard, M. ;
Dilharreguy, B. ;
Deloire, M. ;
Petry, K. G. ;
Brochet, B. .
NEUROLOGY, 2010, 75 (14) :1241-1248
[7]   Cognitive fatigue: A Time-based Resource-sharing account [J].
Borragan, Guillermo ;
Slama, Hichem ;
Bartolornei, Mario ;
Peigneux, Philippe .
CORTEX, 2017, 89 :71-84
[8]   Cognitive Fatigue Facilitates Procedural Sequence Learning [J].
Borragan, Guillermo ;
Slama, Hichem ;
Destrebecqz, Arnaud ;
Peigneux, Philippe .
FRONTIERS IN HUMAN NEUROSCIENCE, 2016, 10
[9]   Working memory in multiple sclerosis: A review [J].
Brissart, H. ;
Leininger, M. ;
Le Perf, M. ;
Taillemite, L. ;
Morele, E. ;
Debouverie, M. .
REVUE NEUROLOGIQUE, 2012, 168 (01) :15-27
[10]   Reduced brain functional reserve and altered functional connectivity in patients with multiple sclerosis [J].
Cader, S ;
Cifelli, A ;
Abu-Omar, Y ;
Palace, J ;
Matthews, PM .
BRAIN, 2006, 129 :527-537