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Published in: Journal of Neurology 8/2020

01-08-2020 | Multiple Sclerosis | Original Communication

Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study

Authors: Michelle H. Chen, Glenn R. Wylie, Brian M. Sandroff, Rosalia Dacosta-Aguayo, John DeLuca, Helen M. Genova

Published in: Journal of Neurology | Issue 8/2020

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Abstract

Neuroimaging underpinnings of state (in the moment, transient) mental fatigue in multiple sclerosis (MS) are not well understood. The current pilot study examined the effect of state mental fatigue on brain activation (measured using functional magnetic resonance imaging [fMRI]) during conditions of varying cognitive loads of rapid information processing in persons with MS relative to healthy controls. Nineteen persons with MS and 17 healthy controls underwent fMRI scanning while performing a modified version of the Symbol Digit Modalities Test, which consisted of high and low cognitive load conditions with comparable visual stimulation. State mental fatigue was assessed using the Visual Analog Scale of Fatigue before and after each run of the behavioral task. Results indicated that the healthy control group recruited significantly more anterior brain regions (superior and middle frontal gyri, insula, and superior temporal gyrus) to meet increased task demands during the high cognitive load condition as fatigue level increased (p < 0.05), which was accompanied by shorter response time. In contrast, the MS group did not recruit anterior areas to the same extent as the healthy control group as task demands and fatigue increased. Indeed, the MS group continued to activate more posterior brain regions (precuneus, lingual gyrus, and middle occipital gyrus) for the high cognitive load condition (p < 0.05) with no improvement in speed. In conclusion, persons with MS may allocate neural resources less efficiently than healthy controls when faced with increased task demands, which may result in increased mental fatigue. Results of the current pilot investigation warrant replication with a larger sample size.
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Literature
1.
go back to reference Wood B, Van Der Mei I, Ponsonby A-L, Pittas F, Quinn S, Dwyer T, Lucas R, Taylor B (2013) Prevalence and concurrence of anxiety, depression and fatigue over time in multiple sclerosis. Mult Scler J 19(2):217–224 Wood B, Van Der Mei I, Ponsonby A-L, Pittas F, Quinn S, Dwyer T, Lucas R, Taylor B (2013) Prevalence and concurrence of anxiety, depression and fatigue over time in multiple sclerosis. Mult Scler J 19(2):217–224
2.
go back to reference Sandry J, Genova HM, Dobryakova E, DeLuca J, Wylie G (2014) Subjective cognitive fatigue in multiple sclerosis depends on task length. Front Neurol 5:214PubMedPubMedCentral Sandry J, Genova HM, Dobryakova E, DeLuca J, Wylie G (2014) Subjective cognitive fatigue in multiple sclerosis depends on task length. Front Neurol 5:214PubMedPubMedCentral
3.
go back to reference Shah A (2009) Fatigue in multiple sclerosis. Phys Med Rehabilit Clin N Am 20(2):363–372 Shah A (2009) Fatigue in multiple sclerosis. Phys Med Rehabilit Clin N Am 20(2):363–372
5.
go back to reference Guidelines MCfCP (1998) Fatigue and multiple sclerosis: evidence-based management strategies for fatigue in multiple sclerosis. Paralyzed Veterans of America, Washington Guidelines MCfCP (1998) Fatigue and multiple sclerosis: evidence-based management strategies for fatigue in multiple sclerosis. Paralyzed Veterans of America, Washington
6.
go back to reference Genova HM, Rajagopalan V, DeLuca J, Das A, Binder A, Arjunan A, Chiaravalloti N, Wylie G (2013) Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging. PLoS ONE 8(11):e78811PubMedPubMedCentral Genova HM, Rajagopalan V, DeLuca J, Das A, Binder A, Arjunan A, Chiaravalloti N, Wylie G (2013) Examination of cognitive fatigue in multiple sclerosis using functional magnetic resonance imaging and diffusion tensor imaging. PLoS ONE 8(11):e78811PubMedPubMedCentral
7.
go back to reference Bryant D, Chiaravalloti ND, DeLuca J (2004) Objective measurement of cognitive fatigue in multiple sclerosis. Rehabilit Psychol 49(2):114 Bryant D, Chiaravalloti ND, DeLuca J (2004) Objective measurement of cognitive fatigue in multiple sclerosis. Rehabilit Psychol 49(2):114
8.
go back to reference Bruce JM, Bruce AS, Arnett PA (2010) Response variability is associated with self-reported cognitive fatigue in multiple sclerosis. Neuropsychology 24(1):77PubMed Bruce JM, Bruce AS, Arnett PA (2010) Response variability is associated with self-reported cognitive fatigue in multiple sclerosis. Neuropsychology 24(1):77PubMed
9.
go back to reference DeLuca J, Genova HM, Hillary FG, Wylie G (2008) Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI. J Neurol Sci 270(1–2):28–39PubMed DeLuca J, Genova HM, Hillary FG, Wylie G (2008) Neural correlates of cognitive fatigue in multiple sclerosis using functional MRI. J Neurol Sci 270(1–2):28–39PubMed
10.
go back to reference Calabrese M, Rinaldi F, Grossi P, Mattisi I, Bernardi V, Favaretto A, Perini P, Gallo P (2010) Basal ganglia and frontal/parietal cortical atrophy is associated with fatigue in relapsing—remitting multiple sclerosis. Mult Scler J 16(10):1220–1228 Calabrese M, Rinaldi F, Grossi P, Mattisi I, Bernardi V, Favaretto A, Perini P, Gallo P (2010) Basal ganglia and frontal/parietal cortical atrophy is associated with fatigue in relapsing—remitting multiple sclerosis. Mult Scler J 16(10):1220–1228
11.
go back to reference Pellicano C, Gallo A, Li X, Ikonomidou VN, Evangelou IE, Ohayon JM, Stern SK, Ehrmantraut M, Cantor F, McFarland HF (2010) Relationship of cortical atrophy to fatigue in patients with multiple sclerosis. Arch Neurol 67(4):447–453PubMed Pellicano C, Gallo A, Li X, Ikonomidou VN, Evangelou IE, Ohayon JM, Stern SK, Ehrmantraut M, Cantor F, McFarland HF (2010) Relationship of cortical atrophy to fatigue in patients with multiple sclerosis. Arch Neurol 67(4):447–453PubMed
12.
go back to reference Hanken K, Eling P, Klein J, Klaene E, Hildebrandt H (2016) Different cortical underpinnings for fatigue and depression in MS? Mult Scler Relat Disord 6:81–86PubMed Hanken K, Eling P, Klein J, Klaene E, Hildebrandt H (2016) Different cortical underpinnings for fatigue and depression in MS? Mult Scler Relat Disord 6:81–86PubMed
13.
go back to reference Sepulcre J, Masdeu J, Goni J, Arrondo G, Velez de Mendizabal N, Bejarano B, Villoslada P (2009) Fatigue in multiple sclerosis is associated with the disruption of frontal and parietal pathways. Mult Scler J 15(3):337–344 Sepulcre J, Masdeu J, Goni J, Arrondo G, Velez de Mendizabal N, Bejarano B, Villoslada P (2009) Fatigue in multiple sclerosis is associated with the disruption of frontal and parietal pathways. Mult Scler J 15(3):337–344
14.
go back to reference Jameen ARM, Ribbons K, Lechner-Scott J, Ramadan S (2019) Evaluation of MS related central fatigue using MR neuroimagingmethods: scoping review. J Neurol Sci 400:52–71 Jameen ARM, Ribbons K, Lechner-Scott J, Ramadan S (2019) Evaluation of MS related central fatigue using MR neuroimagingmethods: scoping review. J Neurol Sci 400:52–71
15.
go back to reference Dobryakova E, DeLuca J, Genova HM, Wylie GR (2013) Neural correlates of cognitive fatigue: cortico-striatal circuitry and effort–reward imbalance. J Int Neuropsychol Soc 19(8):849–853PubMed Dobryakova E, DeLuca J, Genova HM, Wylie GR (2013) Neural correlates of cognitive fatigue: cortico-striatal circuitry and effort–reward imbalance. J Int Neuropsychol Soc 19(8):849–853PubMed
16.
go back to reference Chaudhuri A, Behan PO (2000) Fatigue and basal ganglia. J Neurol Sci 179(1–2):34–42PubMed Chaudhuri A, Behan PO (2000) Fatigue and basal ganglia. J Neurol Sci 179(1–2):34–42PubMed
17.
go back to reference Dobryakova E, Hulst HE, Spirou A, Chiaravalloti ND, Genova HM, Wylie GR, DeLuca J (2018) Fronto-striatal network activation leads to less fatigue in multiple sclerosis. Mult Scler J 24(9):1174–1182 Dobryakova E, Hulst HE, Spirou A, Chiaravalloti ND, Genova HM, Wylie GR, DeLuca J (2018) Fronto-striatal network activation leads to less fatigue in multiple sclerosis. Mult Scler J 24(9):1174–1182
18.
go back to reference DeLuca J, Genova HM, Capili EJ, Wylie GR (2009) Functional neuroimaging of fatigue. Phys Med Rehabilit Clin N Am 20(2):325–337 DeLuca J, Genova HM, Capili EJ, Wylie GR (2009) Functional neuroimaging of fatigue. Phys Med Rehabilit Clin N Am 20(2):325–337
19.
go back to reference Genova HM, Hillary FG, Wylie G, Rypma B, Deluca J (2009) Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging. J Int Neuropsychol Soc 15(3):383–393PubMed Genova HM, Hillary FG, Wylie G, Rypma B, Deluca J (2009) Examination of processing speed deficits in multiple sclerosis using functional magnetic resonance imaging. J Int Neuropsychol Soc 15(3):383–393PubMed
20.
go back to reference Lee KA, Hicks G, Nino-Murcia G (1991) Validity and reliability of a scale to assess fatigue. Psychiatry Res 36(3):291–298PubMed Lee KA, Hicks G, Nino-Murcia G (1991) Validity and reliability of a scale to assess fatigue. Psychiatry Res 36(3):291–298PubMed
21.
go back to reference Benito-León J, Martínez-Martín P, Frades B, Martínez-Ginés M, De Andrés C, Meca-Lallana J, Antigüedad A, Huete-Antón B, Rodríguez-García E, Ruiz-Martínez J (2007) Impact of fatigue in multiple sclerosis: the Fatigue Impact Scale for Daily Use (D-FIS). Mult Scler J 13(5):645–651 Benito-León J, Martínez-Martín P, Frades B, Martínez-Ginés M, De Andrés C, Meca-Lallana J, Antigüedad A, Huete-Antón B, Rodríguez-García E, Ruiz-Martínez J (2007) Impact of fatigue in multiple sclerosis: the Fatigue Impact Scale for Daily Use (D-FIS). Mult Scler J 13(5):645–651
22.
go back to reference Talairach J (1988) Tournoux P (1988) Co-planar stereotaxic atlas of the human brain. Theime, New York Talairach J (1988) Tournoux P (1988) Co-planar stereotaxic atlas of the human brain. Theime, New York
23.
go back to reference Cox RW (1996) AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29(3):162–173PubMed Cox RW (1996) AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput Biomed Res 29(3):162–173PubMed
24.
go back to reference Green RE, Melo B, Christensen B, Ngo L-A, Monette G, Bradbury C (2008) Measuring premorbid IQ in traumatic brain injury: an examination of the validity of the Wechsler Test of Adult Reading (WTAR). J Clin Exp Neuropsychol 30(2):163–172PubMed Green RE, Melo B, Christensen B, Ngo L-A, Monette G, Bradbury C (2008) Measuring premorbid IQ in traumatic brain injury: an examination of the validity of the Wechsler Test of Adult Reading (WTAR). J Clin Exp Neuropsychol 30(2):163–172PubMed
25.
go back to reference Langdon D, Amato M, Boringa J, Brochet B, Foley F, Fredrikson S, Hämäläinen P, Hartung H, Krupp L, Penner I (2012) Recommendations for a brief international cognitive assessment for multiple sclerosis (BICAMS). Mult Scler J 18(6):891–898 Langdon D, Amato M, Boringa J, Brochet B, Foley F, Fredrikson S, Hämäläinen P, Hartung H, Krupp L, Penner I (2012) Recommendations for a brief international cognitive assessment for multiple sclerosis (BICAMS). Mult Scler J 18(6):891–898
26.
go back to reference Parmenter BA, Testa SM, Schretlen DJ, Weinstock-Guttman B, Benedict RH (2010) The utility of regression-based norms in interpreting the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). J Int Neuropsychol Soc 16(1):6–16PubMed Parmenter BA, Testa SM, Schretlen DJ, Weinstock-Guttman B, Benedict RH (2010) The utility of regression-based norms in interpreting the minimal assessment of cognitive function in multiple sclerosis (MACFIMS). J Int Neuropsychol Soc 16(1):6–16PubMed
27.
go back to reference Penner I-K, Rausch M, Kappos L, Opwis K, Radü EW (2003) Analysis of impairment related functional architecture in MS patients during performance of different attention tasks. J Neurol 250(4):461–472PubMed Penner I-K, Rausch M, Kappos L, Opwis K, Radü EW (2003) Analysis of impairment related functional architecture in MS patients during performance of different attention tasks. J Neurol 250(4):461–472PubMed
28.
go back to reference Chiaravalloti ND, Hillary FG, Ricker JH, Christodoulou C, Kalnin AJ, Liu W-C, Steffener J, DeLuca J (2005) Cerebral activation patterns during working memory performance in multiple sclerosis using fMRI. J Clin Exp Neuropsychol 27(1):33–54PubMed Chiaravalloti ND, Hillary FG, Ricker JH, Christodoulou C, Kalnin AJ, Liu W-C, Steffener J, DeLuca J (2005) Cerebral activation patterns during working memory performance in multiple sclerosis using fMRI. J Clin Exp Neuropsychol 27(1):33–54PubMed
29.
go back to reference Schoonheim MM (2017) Functional reorganization is a maladaptive response to injury—commentary. Mult Scler J 23(2):194–196 Schoonheim MM (2017) Functional reorganization is a maladaptive response to injury—commentary. Mult Scler J 23(2):194–196
30.
go back to reference Grill-Spector K, Malach R (2004) The human visual cortex. Annu Rev Neurosci 27:649–677PubMed Grill-Spector K, Malach R (2004) The human visual cortex. Annu Rev Neurosci 27:649–677PubMed
31.
go back to reference Tartaglia M, Narayanan S, Arnold D (2008) Mental fatigue alters the pattern and increases the volume of cerebral activation required for a motor task in multiple sclerosis patients with fatigue. Eur J Neurol 15(4):413–419PubMed Tartaglia M, Narayanan S, Arnold D (2008) Mental fatigue alters the pattern and increases the volume of cerebral activation required for a motor task in multiple sclerosis patients with fatigue. Eur J Neurol 15(4):413–419PubMed
32.
go back to reference Pravatà E, Zecca C, Sestieri C, Caulo M, Riccitelli GC, Rocca MA, Filippi M, Cianfoni A, Gobbi C (2016) Hyperconnectivity of the dorsolateral prefrontal cortex following mental effort in multiple sclerosis patients with cognitive fatigue. Mult Scler J 22(13):1665–1675 Pravatà E, Zecca C, Sestieri C, Caulo M, Riccitelli GC, Rocca MA, Filippi M, Cianfoni A, Gobbi C (2016) Hyperconnectivity of the dorsolateral prefrontal cortex following mental effort in multiple sclerosis patients with cognitive fatigue. Mult Scler J 22(13):1665–1675
33.
go back to reference Wylie G, Dobryakova E, DeLuca J, Chiaravalloti N, Essad K, Genova H (2017) Cognitive fatigue in individuals with traumatic brain injury is associated with caudate activation. Sci Rep 7(1):8973PubMedPubMedCentral Wylie G, Dobryakova E, DeLuca J, Chiaravalloti N, Essad K, Genova H (2017) Cognitive fatigue in individuals with traumatic brain injury is associated with caudate activation. Sci Rep 7(1):8973PubMedPubMedCentral
Metadata
Title
Neural mechanisms underlying state mental fatigue in multiple sclerosis: a pilot study
Authors
Michelle H. Chen
Glenn R. Wylie
Brian M. Sandroff
Rosalia Dacosta-Aguayo
John DeLuca
Helen M. Genova
Publication date
01-08-2020
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 8/2020
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-020-09853-w

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