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Connolly L, Chatfield S, Freeman J, Salter A, Amato MP, Brichetto G, Chataway J, Chiaravalloti ND, Cutter G, DeLuca J, Dalgas U, Farrell R, Feys P, Filippi M, Inglese M, Meza C, Moore NB, Motl RW, Rocca MA, Sandroff BM, Feinstein A. Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis. Mult Scler Relat Disord 2024; 90:105798. [PMID: 39213864 DOI: 10.1016/j.msard.2024.105798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 08/02/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Fatigue is common in people with multiple sclerosis (MS). Understanding the relationship between fatigue, physical and neurobehavioural factors is important to inform future research and practice. Few studies explore this explicitly in people with progressive MS (pwPMS). OBJECTIVE To explore relationships between self-reported fatigue, physical and neurobehavioural measures in a large, international progressive MS sample of cognitively impaired people recruited to the CogEx trial. METHODS Baseline assessments of fatigue (Modified Fatigue Impact Scale; MFIS), aerobic capacity (VO2peak), time in moderate-vigorous physical activity (MVPA; accelerometery over seven-days), walking performance (6-minute walk test; 6MWT), self-reported walking difficulty (MS Walking Scale; MSWS-12), anxiety and depression (Hospital Anxiety and Depression Scale; HADS and Beck Depression Inventory-II; BDI-II), and disease impact (MS Impact Scale-29, MSIS-29) were assessed. Participants were categorised as fatigued (MFISTotal >=38) or non-fatigued (MFISTotal ≤38). STATISTICAL ANALYSIS Differences in individuals categorised as fatigued or non-fatigued were assessed (t-tests, chi square). Pearson's correlation and partial correlations (adjusted for EDSS score, country, sex, and depressive symptoms) determined associations with MFISTotal, MFISPhysical, MFISCognitive and MFISPsychosocial, and the other measures. Multivariable logistic regression evaluated the independent association of fatigue (categorised MFISTotal) with physical and neurobehavioural measures. RESULTS The sample comprised 308 pwPMS (62 % female, 27 % primary progressive, 73 % secondary progressive), mean age 52.5 ± 7.2 yrs, median EDSS score 6.0 (4.5-6.5), mean MFISTotal 44.1 ± 17.1, with 67.2 % categorised as fatigued. Fatigued participants walked shorter distances (6MWT, p = 0.043), had worse MSWS-12 scores (p < 0.001), and lower average % in MVPA (p = 0.026). The magnitude of associations was mostly weak between MFISTotal and physical measures (r = 0.13 to 0.18), apart from the MSWS-12 where it was strong (r = 0.51). The magnitude of correlations were strong between the MFISTotal and neurobehavioural measures of anxiety (r = 0.56), depression (r = 0.59), and measures of disease impact (MSIS-physical r = 0.67; MSIS-mental r = 0.71). This pattern was broadly similar for the MSIF subscales. The multivariable model indicated a five-point increase in MSWS-12 was associated with a 14 % increase in the odds of being fatigued (OR [95 %CI]: 1.14 [1.07-1.22], p < 0.0001) CONCLUSION: Management of fatigue should consider both physical and neurobehavioural factors, in cognitively impaired persons with progressive MS.
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Affiliation(s)
- L Connolly
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK.
| | - S Chatfield
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK
| | - J Freeman
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK
| | - A Salter
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - M P Amato
- Department NEUROFARBA, Section Neurosciences, University of Florence, Largo Brambilla 3, 50134 Florence, Italy; IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - G Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), via Operai 40, 16149 Genoa, Italy; AISM Rehabilitation Service, Italian Multiple Sclerosis Society, Genoa, Italy
| | - J Chataway
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London, London WC1B 5EH, UK; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - N D Chiaravalloti
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - G Cutter
- Department of Biostatistics, University of Alabama At Birmingham, Birmingham, USA
| | - J DeLuca
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - U Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Dalgas Avenue 4, 8000 Aarhus, Denmark
| | - R Farrell
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, University College London, London WC1B 5EH, UK; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - P Feys
- REVAL, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium
| | - M Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - M Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy; Ospedale Policlinico San Martino-IRCCS, Genoa, Italy
| | - C Meza
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON M5R 3B6, Canada
| | - N B Moore
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA
| | - R W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - M A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy
| | - B M Sandroff
- Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, USA; Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - A Feinstein
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON M5R 3B6, Canada
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Albergoni M, Pagani E, Preziosa P, Meani A, Margoni M, Rocca MA, Filippi M. Thalamic nuclei volume partially mediates the effects of aerobic capacity on fatigue in people with multiple sclerosis. J Neurol 2024; 271:3378-3388. [PMID: 38507073 DOI: 10.1007/s00415-024-12277-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/01/2024] [Accepted: 02/25/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Fatigue is frequent in people with multiple sclerosis (pwMS) impacting physical and cognitive functions. Lower aerobic capacity and regional thalamic volume may be involved in the pathophysiology of fatigue in pwMS. OBJECTIVES To identify associations between thalamic nuclei volumes, aerobic capacity and fatigue and to investigate whether the influence of aerobic capacity on fatigue in pwMS is mediated by thalamic integrity. METHODS Eighty-three pwMS underwent a clinical evaluation with assessment of fatigue (Modified Fatigue Impact Scale [MFIS]), including physical (pMFIS) and cognitive (cMFIS) components, and peak of oxygen uptake (VO2peak). PwMS and 63 sex- and age-matched healthy controls (HC) underwent a 3 T brain MRI to quantify volume of the whole thalamus and its nuclei. RESULTS Compared to HC, pwMS showed higher global MFIS, pMFIS and cMFIS scores, and lower VO2peak and thalamic volumes (p < 0.001). In pwMS, higher VO2peak was significantly associated with lower MFIS and pMFIS scores (r value = - 0.326 and - 0.356; pFDR ≤ 0.046) and higher laterodorsal thalamic nucleus (Dor) cluster volume (r value = 0.300; pFDR = 0.047). Moreover, lower Dor thalamic cluster volume was significantly associated with higher MFIS, pMFIS and cMFIS scores (r value range = - 0.305; - 0.293; pFDR ≤ 0.049). The volume of Dor thalamic cluster partially mediated the positive effects of VO2peak on both MFIS and cMFIS, with relative indirect effects of 21% and 32% respectively. No mediation was found for pMFIS. CONCLUSIONS Higher VO2peak is associated with lower fatigue in pwMS, likely acting on Dor thalamic cluster volume integrity. Such an effect might be different according to the type of fatigue (cognitive or physical).
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Affiliation(s)
- Matteo Albergoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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3
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Simpson AC, Hu C, Mowry EM, Naismith RT, Fitzgerald KC, Nourbakhsh B. Structural MRI measures are associated with fatigue severity and persistence in a large, real-world cohort of people with multiple sclerosis. Mult Scler 2024; 30:738-746. [PMID: 38525561 DOI: 10.1177/13524585241239473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
BACKGROUND Results of research on radiological hallmarks of multiple sclerosis (MS) fatigue have been conflicting. OBJECTIVE To investigate the associations of lesion and brain compartment volumes with fatigue severity and persistence in people with multiple sclerosis (PwMS). METHODS The Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) network collects standardized data during routine care of PwMS from 10 healthcare institutions. Magnetic resonance imaging (MRI) predictors included baseline brain parenchymal (BPF) and gray matter fractions (GMF) and T2 lesion volume (T2LV). The Quality of Life in Neurological Disorders (Neuro-QOL) fatigue subscore was analyzed linearly and categorically using T-score cutpoints, with a period of elevated symptoms defined as T-score ⩾ mean + 0.5 SD over follow-up. RESULTS At baseline, of 4012 participants (average age: 45.6 ± 11.8 years; 73% female; 31% progressive MS), 2058 (51%) had no fatigue, 629 (16%) had mild fatigue, and 1325 (33%) had moderate-to-severe fatigue. One SD greater baseline BPF and GMF were associated with 0.83 (p < 0.001) and 0.38 (p = 0.02) lower values in the baseline Neuro-QOL fatigue T-score. A 1 SD lower log of total T2LV was associated with a 0.49 (p < 0.001) lower baseline fatigue T-score. Higher BPF and lower T2LV at baseline were associated with lower odds of subsequent periods of elevated fatigue. CONCLUSION Baseline lesion burden and lower generalized whole-brain volumes were associated with MS fatigue in cross-sectional and longitudinal analyses in a large, real-world cohort of PwMS.
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Affiliation(s)
- Alexandra C Simpson
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Chen Hu
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA/ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Robert T Naismith
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA/ Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Bardia Nourbakhsh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Ramari C, D'hooge M, Dalgas U, Feinstein A, Amato MP, Brichetto G, Chataway J, Chiaravalloti ND, Cutter GR, DeLuca J, Farrell R, Filippi M, Freeman J, Inglese M, Meza C, Motl RW, Rocca MA, Sandroff BM, Salter A, Kos D, Feys P. Prevalence and Associated Clinical Characteristics of Walking-Related Motor, Cognitive, and Fatigability in Progressive Multiple Sclerosis: Baseline Results From the CogEx Study. Neurorehabil Neural Repair 2024; 38:327-338. [PMID: 38426484 DOI: 10.1177/15459683241236161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
BACKGROUND People with progressive multiple sclerosis (PMS) present motor (eg, walking) and cognitive impairments, and report fatigue. Fatigue encompasses fatigability which is objectively measured by the capacity to sustain a motor or cognitive task. OBJECTIVE To investigate the prevalence of walking and cognitive fatigability (CF) and the associated clinical characteristics in a large sample of PMS patients. METHODS PMS patients (25-65 years old) were included from 11 sites (Europe and North America), having cognitive impairment (1.28 standard deviation below normative data for the symbol digit modality test [SDMT]). Walking fatigability (WF) was assessed using the distance walk index (DWI) and CF using the SDMT (scores from the last 30 seconds compared to the first 30 seconds). Additional measures were: cognitive assessment-Brief International Cognitive Assessment for multiple sclerosis (MS), cardiorespiratory fitness, 6-minute walk, physical activity, depressive symptoms, perceived fatigue-Modified Fatigue Impact Scale (MFIS), MS impact-MSIS-29, and walking ability. RESULTS Of 298 participants, 153 (51%) presented WF (DWI = -28.9 ± 22.1%) and 196 (66%) presented CF (-29.7 ± 15%). Clinical characteristics (EDSS, disease duration, and use of assistive device) were worse in patients with versus without WF. They also presented worse scores on MSIS-29 physical, MFIS total and physical and reduced physical capacity. CF patients scored better in the MSIS-29 physical and MFIS psychosocial, compared to non-CF group. Magnitude of CF and WF were not related. CONCLUSIONS Half of the cognitively-impaired PMS population presented WF which was associated with higher disability, physical functions, and fatigue. There was a high prevalence of CF but without strong associations with clinical, cognitive, and physical functions. TRIAL REGISTRATION NUMBER The "CogEx-study," www.clinicaltrial.gov identifier number: NCT03679468.
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Affiliation(s)
- Cintia Ramari
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Limburg, Belgium
- UMSC University MS Center Hasselt Pelt, Hasselt Pelt, Belgium
| | - Mieke D'hooge
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Limburg, Belgium
- National MS Center, Melsbroek, Belgium
| | - Ulrik Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Anthony Feinstein
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Maria Pia Amato
- Department NEUROFARBA, Section Neurosciences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Giampaolo Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy
- AISM Rehabilitation Service, Italian Multiple Sclerosis Society, Genoa, Italy
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - Nancy D Chiaravalloti
- Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John DeLuca
- Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Rachel Farrell
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Jennifer Freeman
- Faculty of Health, School of Health Professions, University of Plymouth, Devon, UK
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Cecilia Meza
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, IRCSS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCSS San Raffaele Scientific Institute, Milan, Italy
| | - Brian M Sandroff
- Kessler Foundation, East Hanover, NJ, USA
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Amber Salter
- Department of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Peter Feys
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Limburg, Belgium
- UMSC University MS Center Hasselt Pelt, Hasselt Pelt, Belgium
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5
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Mistri D, Valsasina P, Storelli L, Filippi M, Rocca MA. Monoaminergic network dysfunction and development of depression in multiple sclerosis: a longitudinal investigation. J Neurol 2024; 271:1618-1629. [PMID: 38112782 DOI: 10.1007/s00415-023-12138-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 11/23/2023] [Accepted: 11/24/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Monoaminergic network dysfunction is thought to underpin depression in multiple sclerosis (MS) patients. However, longitudinal studies are lacking. OBJECTIVES Here, we investigated the association between development of depressive symptoms in MS and changes of resting-state functional connectivity (RS FC) within monoaminergic networks. METHODS Forty-nine MS patients without depression [Montgomery-Asberg Depression Scale (MADRS) ≤ 9] and 27 healthy controls underwent clinical and 3.0 T RS FC assessment at baseline and after a median follow-up of 1.6 years (interquartile range 1.0-2.1 years). Monoamine-related RS FC was derived by independent component analysis, constrained to PET atlases for dopamine, noradrenaline and serotonin transporters. Longitudinal changes of RS FC within monoaminergic networks and their correlations with MADRS scores were assessed. RESULTS At baseline, MS patients showed decreased RS FC vs healthy controls in all PET-guided monoaminergic networks in frontal, cingulate and cerebellar cortices, and increased RS FC in parieto-occipital regions. Fourteen (29%) MS patients developed depressive symptoms (MADRS > 9) at follow-up (D-MS) and exhibited widespread RS FC decrease over time in the PET-guided dopamine network, mainly in orbitofrontal, occipital, anterior cingulate and precuneal cortices compared to patients who did not develop depressive symptoms. In D-MS, decreased RS FC over time was also observed in parahippocampal and occipital regions of the PET-guided noradrenaline network. Decreased RS FC over time in dopamine and noradrenaline PET-guided networks correlated with concomitant increased MADRS scores (r = range - 0.65/- 0.61, p < 0.001). CONCLUSIONS The development of depressive symptoms in MS patients was associated with specific RS FC changes within the dopamine and noradrenaline networks.
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Affiliation(s)
- Damiano Mistri
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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6
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Margoni M, Valsasina P, Bacchetti A, Mistri D, Preziosa P, Rocca MA, Filippi M. Resting state functional connectivity modifications in monoaminergic circuits underpin fatigue development in patients with multiple sclerosis. Mol Psychiatry 2024:10.1038/s41380-024-02532-6. [PMID: 38528072 DOI: 10.1038/s41380-024-02532-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 03/13/2024] [Accepted: 03/13/2024] [Indexed: 03/27/2024]
Abstract
Dysregulation of monoaminergic networks might have a role in the pathogenesis of fatigue in multiple sclerosis (MS). We investigated longitudinal changes of resting state (RS) functional connectivity (FC) in monoaminergic networks and their association with the development of fatigue in MS. Eighty-nine MS patients and 49 age- and sex-matched healthy controls (HC) underwent neurological, fatigue, and RS functional MRI assessment at baseline and after a median follow-up of 1.3 years (interquartile range = 1.01-2.01 years). Monoaminergic-related RS FC was estimated with an independent component analysis constrained to PET atlases for dopamine (DA), noradrenaline (NA), and serotonin (5-HT) transporters. At baseline, 24 (27%) MS patients were fatigued (F) and 65 were not fatigued (NF). Of these, 22 (34%) developed fatigue (DEV-FAT) at follow-up and 43 remained not fatigued (NO-FAT). At baseline, F-MS patients showed increased monoaminergic-related RS FC in the caudate nucleus vs NF-MS and in the hippocampal, postcentral, temporal, and occipital cortices vs NF-MS and HC. Moreover, F-MS patients exhibited decreased RS FC in the frontal cortex vs NF-MS and HC, and in the thalamus vs NF-MS. During the follow-up, no RS FC changes were observed in HC. NO-FAT patients showed limited DA-related RS FC modifications, whereas DEV-FAT MS patients showed increased DA-related RS FC in the left hippocampus, significant at time-by-group interaction analysis. In the NA-related network, NO-FAT patients showed decreased RS FC over time in the left superior frontal gyrus. This region showed increased RS FC in both DEV-FAT and F-MS patients; this divergent behavior was significant at time-by-group interaction analysis. Finally, DEV-FAT MS patients presented increased 5-HT-related RS FC in the angular and middle occipital gyri, while this latter region showed decreased 5-HT-related RS FC during the follow-up in F-MS patients. In MS patients, distinct patterns of alterations were observed in monoaminergic networks based on their fatigue status. Fatigue was closely linked to specific changes in the basal ganglia and hippocampal, superior frontal, and middle occipital cortices.
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Affiliation(s)
- Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Anna Bacchetti
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Damiano Mistri
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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7
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Montini F, Nozzolillo A, Tedone N, Mistri D, Rancoita PM, Zanetta C, Mandelli A, Furlan R, Moiola L, Martinelli V, Rocca MA, Filippi M. COVID-19 has no impact on disease activity, progression and cognitive performance in people with multiple sclerosis: a 2-year study. J Neurol Neurosurg Psychiatry 2024; 95:342-347. [PMID: 37857497 DOI: 10.1136/jnnp-2023-332073] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 09/25/2023] [Indexed: 10/21/2023]
Abstract
BACKGROUND Sequelae of COVID-19 in people with multiple sclerosis (PwMS) have not been characterised. We explored whether COVID-19 is associated with an increased risk of disease activity, disability worsening, neuropsychological distress and cognitive dysfunction during the 18-24 months following SARS-COV-2 infection. METHODS We enrolled 174 PwMS with history of COVID-19 (MS-COVID) between March 2020 and March 2021 and compared them to an age, sex, disease duration, Expanded Disability Status Scale (EDSS), and a line of treatment-matched group of 348 PwMS with no history of COVID-19 in the same period (MS-NCOVID). We collected clinical, MRI data and SARS-CoV2 immune response in the 18-24 months following COVID-19 or baseline evaluation. At follow-up, PwMS also underwent a complete neuropsychological assessment with brief repeatable battery of neuropsychological tests and optimised scales for fatigue, anxiety, depression and post-traumatic stress symptoms. RESULTS 136 MS-COVID and 186 MS-NCOVID accepted the complete longitudinal evaluation. The two groups had similar rate of EDSS worsening (15% vs 11%, p=1.00), number of relapses (6% vs 5%, p=1.00), disease-modifying therapy change (7% vs 4%, p=0.81), patients with new T2-lesions (9% vs 11%, p=1.00) and gadolinium-enhancing lesions (7% vs 4%, p=1.00) on brain MRI. 22% of MS-COVID and 23% MS-NCOVID were cognitively impaired at 18-24 months evaluation, with similar prevalence of cognitive impairment (p=1.00). The z-scores of global and domain-specific cognitive functions and the prevalence of neuropsychiatric manifestations were also similar. No difference was detected in terms of SARS-CoV2 cellular immune response. CONCLUSIONS In PwMS, COVID-19 has no impact on disease activity, course and cognitive performance 18-24 months after infection.
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Affiliation(s)
| | | | - Nicolò Tedone
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Damiano Mistri
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Paola Mv Rancoita
- University Centre for Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, Milano, Italy
| | - Chiara Zanetta
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Alessandra Mandelli
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Lucia Moiola
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
| | | | - Maria A Rocca
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
| | - Massimo Filippi
- Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
- Vita-Salute San Raffaele University, Milano, Italy
- Neurorehabilitation Unit, IRCCS Ospedale San Raffaele, Milano, Italy
- Neurophysiology Service, IRCCS Ospedale San Raffaele, Milano, Italy
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Preziosa P, Pagani E, Meani A, Storelli L, Margoni M, Yudin Y, Tedone N, Biondi D, Rubin M, Rocca MA, Filippi M. Chronic Active Lesions and Larger Choroid Plexus Explain Cognition and Fatigue in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200205. [PMID: 38350048 DOI: 10.1212/nxi.0000000000200205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/18/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND AND OBJECTIVES Chronic inflammation may contribute to cognitive dysfunction and fatigue in patients with multiple sclerosis (MS). Paramagnetic rim lesions (PRLs) and choroid plexus (CP) enlargement have been proposed as markers of chronic inflammation in MS being associated with a more severe disease course. However, their relation with cognitive impairment and fatigue has not been fully explored yet. Here, we investigated the contribution of PRL number and volume and CP enlargement to cognitive impairment and fatigue in patients with MS. METHODS Brain 3T MRI, neurologic evaluation, and neuropsychological assessment, including the Brief Repeatable Battery of Neuropsychological Tests and Modified Fatigue Impact Scale, were obtained from 129 patients with MS and 73 age-matched and sex-matched healthy controls (HC). PRLs were identified on phase images of susceptibility-weighted imaging, whereas CP volume was quantified using a fully automatic method on brain three-dimensional T1-weighted and fluid-attenuated inversion recovery MRI sequences. Predictors of cognitive impairment and fatigue were identified using random forest. RESULTS Thirty-six (27.9%) patients with MS were cognitively impaired, and 31/113 (27.4%) patients had fatigue. Fifty-nine (45.7%) patients with MS had ≥1 PRLs (median = 0, interquartile range = 0;2). Compared with HC, patients with MS showed significantly higher T2-hyperintense white matter lesion (WM) volume; lower normalized brain, thalamic, hippocampal, caudate, cortical, and WM volumes; and higher normalized CP volume (p from <0.001 to 0.040). The predictors of cognitive impairment (relative importance) (out-of-bag area under the curve [OOB-AUC] = 0.707) were normalized brain volume (100%), normalized caudate volume (89.1%), normalized CP volume (80.3%), normalized cortical volume (70.3%), number (67.3%) and volume (66.7%) of PRLs, and T2-hyperintense WM lesion volume (64.0%). Normalized CP volume was the only predictor of the presence of fatigue (OOB-AUC = 0.563). DISCUSSION Chronic inflammation, with higher number and volume of PRLs and enlarged CP, may contribute to cognitive impairment in MS in addition to gray matter atrophy. The contribution of enlarged CP in explaining fatigue supports the relevance of immune-related processes in determining this manifestation independently of disease severity. PRLs and CP enlargement may contribute to the pathophysiology of cognitive impairment and fatigue in MS, and they may represent clinically relevant therapeutic targets to limit the impact of these clinical manifestations in MS.
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Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Meani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Loredana Storelli
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Monica Margoni
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Yury Yudin
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicolò Tedone
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Diana Biondi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Martina Rubin
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., L.S., M.M., Y.Y., N.T., D.B., M.R., M.A.R., M.F.), Division of Neuroscience; Neurology Unit (P.P., M.M., M.R., M.A.R., M.F.), IRCCS San Raffaele Scientific Institute; Vita-Salute San Raffaele University (P.P., M.R., M.A.R., M.F.); Neurorehabilitation Unit (M.M., M.F.); and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Milan, Italy
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Abdelhak A, Antweiler K, Kowarik MC, Senel M, Havla J, Zettl UK, Kleiter I, Hoshi MM, Skripuletz T, Haarmann A, Stahmann A, Huss A, Gingele S, Krumbholz M, Selge C, Friede T, Ludolph AC, Overell J, Koendgen H, Clinch S, Wang Q, Ziemann U, Hauser SL, Kümpfel T, Green AJ, Tumani H. Patient-reported outcome parameters and disability worsening in progressive multiple sclerosis. Mult Scler Relat Disord 2024; 81:105139. [PMID: 38000130 PMCID: PMC10959125 DOI: 10.1016/j.msard.2023.105139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/03/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023]
Abstract
OBJECTIVES Detection and prediction of disability progression is a significant unmet need in people with progressive multiple sclerosis (PwPMS). Government and health agencies have deemed the use of patient-reported outcomes measurements (PROMs) in clinical practice and clinical trials a major strategic priority. Nevertheless, data documenting the clinical utility of PROMs in neurological diseases is scarce. This study evaluates if assessment of PROMs could track progression in PwPMS. METHODS Emerging blood Biomarkers in Progressive Multiple Sclerosis (EmBioProMS) investigated PROMs (Beck depression inventory-II (BDI-II), multiple sclerosis impact scale-29 (MSIS-29), fatigue scale for motor and cognition (FSMC)) in PwPMS (primary [PPMS] and secondary progressive MS [SPMS]). PROMs were evaluated longitudinally and compared between participants with disability progression (at baseline; retrospective evidence of disability progression (EDP), and during follow up (FU); prospective evidence of confirmed disability progression (CDP)) and those without progression. In an independent cohort of placebo participants of the phase III ORATORIO trial in PPMS, the diagnostic and prognostic value of another PROMs score (36-Item Short Form Survey [SF-36]) regarding CDP was evaluated. RESULTS EmBioProMS participants with EDP in the two years prior to inclusion (n = 136/227), or who suffered from CDP during FU (number of events= 88) had worse BDI-II, MSIS-29, and FSMC scores compared to PwPMS without progression. In addition, baseline MSIS29physical above 70th, 80th, and 90th percentiles predicted future CDP/ progression independent of relapse activity in EmBioProMS PPMS participants (HR of 3.7, 6.9, 6.7, p = 0.002, <0.001, and 0.001, respectively). In the placebo arm of ORATORIO (n = 137), the physical component score (PCS) of SF-36 worsened at week 120 compared to baseline, in cases who experienced progression over the preceding trial period (P = 0.018). Worse PCS at baseline was associated with higher hazard ratios of disability accumulation over the subsequent 120 weeks (HR: 2.01 [30th-], 2.11 [20th-], and 2.8 [10th percentile], P = 0.007, 0.012 and 0.005, respectively). CONCLUSIONS PROMs could provide additional, practical, cost-efficient, and remotely accessible insight about disability progression in PMS through standardized, structured, and quantifiable patient feedback.
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Affiliation(s)
- Ahmed Abdelhak
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA; Department of Neurology, University Hospital of Ulm, Oberer Eselsberg 45, Ulm 89081, Germany
| | - Kai Antweiler
- Department of Medical Statistics, University Medical Centre Göttingen, Göttingen, Germany
| | - Markus C Kowarik
- Department of Neurology and Stroke, University Hospital of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Makbule Senel
- Department of Neurology, University Hospital of Ulm, Oberer Eselsberg 45, Ulm 89081, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University, Munich, Germany
| | - Uwe K Zettl
- Department of Neurology, Neuroimmunological Section, University of Rostock, Rostock, Germany
| | - Ingo Kleiter
- Marianne-Strauß-Klinik, Behandlungszentrum Kempfenhausen für Multiple Sklerose Kranke gGmbH, Berg, Germany
| | - Muna-Miriam Hoshi
- Marianne-Strauß-Klinik, Behandlungszentrum Kempfenhausen für Multiple Sklerose Kranke gGmbH, Berg, Germany
| | | | - Axel Haarmann
- Department of Neurology, University Hospital Würzburg, Würzburg, Germany
| | - Alexander Stahmann
- Forschungs- und Projektentwicklungs-gGmbH, MS-Registry by the German MS-Society, Hanover, Germany
| | - Andre Huss
- Department of Neurology, University Hospital of Ulm, Oberer Eselsberg 45, Ulm 89081, Germany
| | - Stefan Gingele
- Hannover Medical School, Department of Neurology, Hanover, Germany
| | - Markus Krumbholz
- Department of Neurology and Stroke, University Hospital of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany; Department of Neurology and Pain Treatment, Immanuel Klinik Rüdersdorf, University Hospital of the Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany; Faculty of Health Sciences Brandenburg, Brandenburg Medical School Theodor Fontane, Rüdersdorf bei Berlin, Germany
| | - Charlotte Selge
- Marianne-Strauß-Klinik, Behandlungszentrum Kempfenhausen für Multiple Sklerose Kranke gGmbH, Berg, Germany
| | - Tim Friede
- Department of Medical Statistics, University Medical Centre Göttingen, Göttingen, Germany
| | - Albert C Ludolph
- Department of Neurology, University Hospital of Ulm, Oberer Eselsberg 45, Ulm 89081, Germany
| | | | | | | | - Qing Wang
- F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Ulf Ziemann
- Department of Neurology and Stroke, University Hospital of Tübingen, Tübingen, Germany; Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Stephen L Hauser
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, LMU Hospital, Ludwig-Maximilians University, Munich, Germany
| | - Ari J Green
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA
| | - Hayrettin Tumani
- Department of Neurology, University Hospital of Ulm, Oberer Eselsberg 45, Ulm 89081, Germany.
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Abou L, Fritz NE, Kratz AL. Predictors of performance and perceived fatigability in people with multiple sclerosis. Neurol Res 2023; 45:994-1002. [PMID: 37655601 DOI: 10.1080/01616412.2023.2252283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 08/21/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND AND OBJECTIVE Fatigability is a distinct construct from fatigue that has been reported to contribute to activity limitations in people with multiple sclerosis (PwMS). Identifying predictors of performance and perceived fatigability may guide the development of interventions to mitigate fatigability. This study investigated predictors of performance and perceived fatigability among PwMS. METHODS PwMS (N = 51) completed self-report measures of demographics, clinical history, symptoms severity (Modified Fatigue Impact Scale), and functioning (PROMIS Physical Function and PROMIS Cognitive Function Abilities). Performance fatigability measures included Ambulatory Fatigue Index (AFI), Deceleration Index (DI), and Distance Walking Index (DWI). Perceived fatigability measures included Pittsburgh Fatigability Scale (PFS), Perceived Physical Exertion, and Perceived Fatigue Intensity. Performance and perceived fatigability measures were calculated based on the Timed 25-Foot Walk Test and the 6-Minute Walk Test. RESULTS Multivariable linear regression analyses indicated that PROMIS Cognitive Function was a significant independent predictor of performance fatigability measured with AFI (β = -0.515, p = 0.007), DI (β = -0.511, p = 0.008), and DWI (β = -0.516, p = 0.007). Regarding perceived fatigability, PROMIS Pain Intensity predicted Perceived Fatigue Intensity (β = 0.325, p = 0.035). PROMIS Physical Function predicted PFS Mental fatigability (β = -0.503, p < 0.001). PROMIS Physical Function (β = -0.619, p < 0.001) and Cognitive Function (β = -0.249, p = 0.037) predicted PFS Physical fatigability. CONCLUSIONS Preliminary findings suggest that self-reported functioning levels, including physical and perceived cognitive function, are potential predictors of performance and perceived fatigability in MS. Notably, perceived fatigue impact showed no association with performance or perceived fatigability. Future studies are warranted to confirm and extend our findings.
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Affiliation(s)
- Libak Abou
- Department of Physical Medicine & Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Nora E Fritz
- Departments of Health Care Sciences & Neurology, Wayne State University, Detroit, MI, USA
| | - Anna L Kratz
- Department of Physical Medicine & Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
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Rocca MA, Valsasina P, Lamanna MT, Colombo B, Martinelli V, Filippi M. Functional connectivity modifications in monoaminergic circuits occur in fatigued MS patients treated with fampridine and amantadine. J Neurol 2023; 270:4697-4706. [PMID: 37462753 DOI: 10.1007/s00415-023-11858-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/28/2023] [Accepted: 06/29/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND Monoaminergic network dysfunction may have a role in multiple sclerosis (MS) fatigue pathogenesis. OBJECTIVE To investigate modifications of fatigue severity and resting state (RS) functional connectivity (FC) in monoaminergic networks of 45 fatigued MS patients after different symptomatic treatments. METHODS Patients were randomly, blindly assigned to fampridine (n = 15), amantadine (n = 15) or placebo (n = 15) treatment and underwent clinical and 3T-MRI evaluations at baseline (t0) and week 4 (w4), i.e. after four weeks of treatment. Fifteen healthy controls (HC) were enrolled. Dopamine-, noradrenaline- and serotonin-related RS FC was assessed by PET-guided constrained independent component analysis. RESULTS At t0, MS patients showed widespread monoamine-related RS FC abnormalities. At w4, fatigue scores decreased in all groups (p = range < 0.001-0.002). Concomitantly, fampridine and amantadine patients showed increased insular RS FC in dopamine-related and noradrenaline-related networks (p < 0.001, uncorrected). Amantadine patients also showed increased RS FC of anterior cingulate cortex in dopamine-related and noradrenaline-related networks (p < 0.001, uncorrected). Placebo patients showed increased precuneus/middle cingulate RS FC in the noradrenaline-related network (p < 0.001, uncorrected). In fampridine and placebo patients, just tendencies towards correlations between RS FC and fatigue modifications were found. CONCLUSIONS In MS patients, specific RS FC modifications in PET-guided monoaminergic networks were observed, concomitantly with fatigue improvements following treatment. TRIAL REGISTRATION NUMBER EudraCT 2010-023678-38.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Teresa Lamanna
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bruno Colombo
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
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12
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Abou L, Fritz NE, Kratz AL. Self-reported fatigue impact is associated with frequency of falls and injurious falls in people with multiple sclerosis. Mult Scler Relat Disord 2023; 78:104910. [PMID: 37499336 DOI: 10.1016/j.msard.2023.104910] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 05/19/2023] [Accepted: 07/21/2023] [Indexed: 07/29/2023]
Abstract
BACKGROUND Fatigue is the most common symptom associated with multiple sclerosis (MS). Fatigue as a risk factor for injurious falls and frequency of falls is understudied. Falling recurrently is associated with injurious falls which may lead to reduced functional independence and poor quality of life of people with MS. Identifying contributors of recurrent falls and injurious falls is clinically useful to develop effective interventions. OBJECTIVE To investigate the associations between fatigue impact and frequency of falls and injurious falls in people with MS. METHODS Fifty-one participants completed the Modified Fatigue Impact Scale (MFIS) and a survey of number of falls and injurious falls during the past year. Logistic regression analyses were conducted to investigate whether scores on the MFIS (Total, Physical, Cognitive, and Psychosocial) predicted odds of being a recurrent faller (> 2 falls) or infrequent faller (1- 2 falls) versus a non-faller, and odds of experiencing an injurious fall (yes/no). The analyses were adjusted for demographic and clinical characteristics and common symptoms of MS (depression, cognition, pain, and sleep disturbance). RESULTS Higher MFIS Total score was associated with higher odds of infrequent falls (OR = 1.07, 95% CI, 1.00 - 1.15, p = 0.05) and recurrent falls (OR = 1.10, 95% CI, 1.00 - 1.20, p = 0.04) relative to not falling in the past year. Higher scores on the MFIS Physical subscale were significantly associated with high odds of infrequent falls (OR = 1.15, 95% CI, 1.02 - 1.30, p = 0.03) and recurrent falls (OR = 1.19, 95% CI, 1.02 - 1.39, p = 0.03). MFIS Psychosocial subscale was significantly associated with higher odds of infrequent falls (OR = 2.01, 95% CI, 1.14 - 3.53, p = 0.02). MFIS Total and MFIS Cognitive subscale were significantly associated with higher odds of injurious falls (OR = 1.11, 95% CI, 1.00 - 1.23, p = 0.04) and (OR = 1.28, 95% CI, 1.02 - 1.60, p = 0.04), respectively. CONCLUSION The findings indicated self-reported fatigue impact and its specific domains were associated with an increased risk of falling and injurious falls. Further studies using prospective falls assessment and longitudinal evaluation of fatigue are warranted to extend our findings.
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Affiliation(s)
- Libak Abou
- Department of Physical Medicine & Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA.
| | - Nora E Fritz
- Departments of Health Care Sciences & Neurology, Wayne State University, Detroit, MI, USA
| | - Anna L Kratz
- Department of Physical Medicine & Rehabilitation, Michigan Medicine, Ann Arbor, MI, USA
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13
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Meijboom R, York EN, Kampaite A, Harris MA, White N, Valdés Hernández MDC, Thrippleton MJ, MacDougall NJJ, Connick P, Hunt DPJ, Chandran S, Waldman AD. Patterns of brain atrophy in recently-diagnosed relapsing-remitting multiple sclerosis. PLoS One 2023; 18:e0288967. [PMID: 37506096 PMCID: PMC10381059 DOI: 10.1371/journal.pone.0288967] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 07/07/2023] [Indexed: 07/30/2023] Open
Abstract
Recurrent neuroinflammation in relapsing-remitting MS (RRMS) is thought to lead to neurodegeneration, resulting in progressive disability. Repeated magnetic resonance imaging (MRI) of the brain provides non-invasive measures of atrophy over time, a key marker of neurodegeneration. This study investigates regional neurodegeneration of the brain in recently-diagnosed RRMS using volumetry and voxel-based morphometry (VBM). RRMS patients (N = 354) underwent 3T structural MRI <6 months after diagnosis and 1-year follow-up, as part of the Scottish multicentre 'FutureMS' study. MRI data were processed using FreeSurfer to derive volumetrics, and FSL for VBM (grey matter (GM) only), to establish regional patterns of change in GM and normal-appearing white matter (NAWM) over time throughout the brain. Volumetric analyses showed a decrease over time (q<0.05) in bilateral cortical GM and NAWM, cerebellar GM, brainstem, amygdala, basal ganglia, hippocampus, accumbens, thalamus and ventral diencephalon. Additionally, NAWM and GM volume decreased respectively in the following cortical regions, frontal: 14 out of 26 regions and 16/26; temporal: 18/18 and 15/18; parietal: 14/14 and 11/14; occipital: 7/8 and 8/8. Left GM and NAWM asymmetry was observed in the frontal lobe. GM VBM analysis showed three major clusters of decrease over time: 1) temporal and subcortical areas, 2) cerebellum, 3) anterior cingulum and supplementary motor cortex; and four smaller clusters within the occipital lobe. Widespread GM and NAWM atrophy was observed in this large recently-diagnosed RRMS cohort, particularly in the brainstem, cerebellar GM, and subcortical and occipital-temporal regions; indicative of neurodegeneration across tissue types, and in accord with limited previous studies in early disease. Volumetric and VBM results emphasise different features of longitudinal lobar and loco-regional change, however identify consistent atrophy patterns across individuals. Atrophy measures targeted to specific brain regions may provide improved markers of neurodegeneration, and potential future imaging stratifiers and endpoints for clinical decision making and therapeutic trials.
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Affiliation(s)
- Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Elizabeth N York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Mathew A Harris
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Nicole White
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Maria Del C Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - N J J MacDougall
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter Connick
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - David P J Hunt
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam D Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
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14
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Tranfa M, Iuzzolino VV, Perrella P, Carotenuto A, Pontillo G, Moccia M, Cocozza S, Elefante A, Lanzillo R, Brunetti A, Brescia Morra V, Petracca M. Exploring the relation between reserve and fatigue in multiple sclerosis. Mult Scler Relat Disord 2023; 76:104842. [PMID: 37392716 DOI: 10.1016/j.msard.2023.104842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/07/2023] [Accepted: 06/19/2023] [Indexed: 07/03/2023]
Abstract
INTRODUCTION Intellectual enrichment and brain reserve modulate the expression of cognitive and motor disability in multiple sclerosis (MS). Their association with fatigue, one of the most debilitating and common symptoms of MS, has never been explored. MATERIALS AND METHODS Forty-eight MS patients underwent clinical and MRI examination at baseline and after 1 year. Physical and cognitive MS-related fatigue were evaluated via Modified Fatigue Impact subscales (MFIS-P and MFIS-C). Differences in reserve indexes between fatigued and non-fatigued patients were tested. The relationship between clinico-demographic features, global brain structural damage, indexes of reserve (age-adjusted intracranial volume and cognitive reserve index) and fatigue were tested via correlations and hierarchical linear/binary logistic regression, to predict MFIS-P and MFIS-C (at baseline) or new-onset fatigue and meaningful worsening in MFIS (at follow-up). RESULTS At baseline, although a significant difference was identified for cognitive reserve questionnaire between fatigued and non-fatigued patients (18.19 ± 4.76 versus 15.15 ± 3.56, p = 0.015), only depression accounted for significant variance in MFIS-P and MFIS-C (R2=0.248, p = 0.002; R2=0.252, p<0.001). MFIS-T, MFIS-P and MFIS-C changes over time were associated to depression changes over time (r = 0.56, r = 0.55, and r = 0.57, respectively; all p<0.001). Indexes of reserve did not differ between non-fatigued patients and patients developing new-onset fatigue at follow-up. None of the baseline features was able to predict the new-onset fatigue or meaningful worsening in MFIS at follow-up. CONCLUSIONS Among the explored features, only depression was strongly associated to both physical and cognitive fatigue. Intellectual enrichment and brain reserve did not seem to affect fatigue symptoms in MS patients.
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Affiliation(s)
- Mario Tranfa
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Valentina Virginia Iuzzolino
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Pierpaolo Perrella
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Antonio Carotenuto
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences and Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy; Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, VU Medical Centre, Amsterdam, the Netherlands
| | - Marcello Moccia
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy; Multiple Sclerosis Unit, AOU "Federico II", Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
| | - Andrea Elefante
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Roberta Lanzillo
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Vincenzo Brescia Morra
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Maria Petracca
- Department of Human Neurosciences, University of Rome Sapienza, Rome, Italy
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15
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Cagna CJ, Dobryakova E, Raizberg DA, Bhanji JP, Tricomi E. Subjective valuation of performance feedback is robust to trait cognitive fatigue in multiple sclerosis. Mult Scler Relat Disord 2023; 75:104754. [PMID: 37220713 DOI: 10.1016/j.msard.2023.104754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/20/2023] [Accepted: 05/07/2023] [Indexed: 05/25/2023]
Abstract
BACKGROUND Performance feedback is vital to rehabilitation interventions that treat cognitive impairments from multiple sclerosis (MS). Optimal treatment relies on participants' motivation to learn from feedback throughout these interventions. Cognitive fatigue, a prevalent symptom of MS, is associated with aberrant reward processing, which necessitates research into how fatigue affects perceived reward value of feedback in these individuals. The current study investigated how trait fatigue influences subjective valuation of feedback and subsequent feedback-seeking behavior in people with MS. METHODS 33 MS and 32 neurotypical (NT) participants completed a willingness-to-pay associative memory paradigm that assessed feedback valuation via trial-by-trial decisions to either purchase or forego feedback in service of maximizing a performance-contingent monetary reward. Participant ratings of trait fatigue were also collected. Generalized logistic mixed modeling was used to analyze factors that influenced trial-wise feedback purchase decisions and task performance. RESULTS Despite reporting greater trait fatigue, MS participants purchased comparable amounts of feedback as NT participants. Like NT participants, MS participants were more likely to purchase feedback when they were less confident about response accuracy. MS participants also performed comparably to NT participants, who both particularly benefited from purchase decisions that yielded negative feedback (i.e., indicating a response error). CONCLUSIONS Trait cognitive fatigue may not impact performance feedback valuation in people with MS. Nonetheless, confidence in performance may drive their feedback-seeking behavior and may serve as a target for improving learning throughout cognitive rehabilitation and maximizing treatment success.
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Affiliation(s)
- Christopher J Cagna
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, 120 Eagle Rock Avenue, Suite 100, East Hanover, NJ 07936, United States
| | - Darian A Raizberg
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States
| | - Jamil P Bhanji
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States
| | - Elizabeth Tricomi
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States
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16
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Slowing processing speed is associated with cognitive fatigue in newly diagnosed multiple sclerosis patients. J Int Neuropsychol Soc 2023; 29:283-289. [PMID: 35465860 DOI: 10.1017/s1355617722000157] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To further investigate objective measures of cognitive fatigue (CF), defined as the inability to sustain performance over time, in newly diagnosed multiple sclerosis (MS) patients, by conducting a performance analysis on the Paced Auditory Serial Addition Test (PASAT) based on the type of errors (omissions vs. incorrect responses) committed. METHOD Sixty-two newly diagnosed patients with MS (pwMS) and 41 healthy controls (HC) completed the PASAT. Analysis of the change in performance during the test was performed by comparing the number of correct responses, incorrect responses, and omissions in the 1st versus the 3rd tertile of the PASAT. RESULTS A significant decline in accuracy over time was observed to be related to an increment in the number of omissions, significantly more pronounced in pwMS than in HC. No change in the number of incorrect responses throughout the PASAT was observed for either group. CONCLUSIONS CF can be detected even in newly diagnosed pwMS and might objectively manifest as a progressive increase in omissions during a sustained highly demanding task (i.e., PASAT). This pattern may reflect slowed processing speed and increased fatigue in pwMS. Focusing on omissions on the PASAT instead of correct responses only may improve its specificity as an objective measure of CF.
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17
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Preziosa P, Rocca MA, Pagani E, Valsasina P, Amato MP, Brichetto G, Bruschi N, Chataway J, Chiaravalloti ND, Cutter G, Dalgas U, DeLuca J, Farrell R, Feys P, Freeman J, Inglese M, Meani A, Meza C, Motl RW, Salter A, Sandroff BM, Feinstein A, Filippi M. Structural and functional magnetic resonance imaging correlates of fatigue and dual-task performance in progressive multiple sclerosis. J Neurol 2023; 270:1543-1563. [PMID: 36436069 DOI: 10.1007/s00415-022-11486-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 11/09/2022] [Accepted: 11/10/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Frontal cortico-subcortical dysfunction may contribute to fatigue and dual-task impairment of walking and cognition in progressive multiple sclerosis (PMS). PURPOSE To explore the associations among fatigue, dual-task performance and structural and functional abnormalities of frontal cortico-subcortical network in PMS. METHODS Brain 3 T structural and functional MRI sequences, Modified Fatigue Impact Scale (MFIS), dual-task motor and cognitive performances were obtained from 57 PMS patients and 10 healthy controls (HC). The associations of thalamic, caudate nucleus and dorsolateral prefrontal cortex (DLPFC) atrophy, microstructural abnormalities of their connections and their resting state effective connectivity (RS-EC) with fatigue and dual-task performance were investigated using random forest. RESULTS Thirty-seven PMS patients were fatigued (F) (MFIS ≥ 38). Compared to HC, non-fatigued (nF) and F-PMS patients had significantly worse dual-task performance (p ≤ 0.002). Predictors of fatigue (out-of-bag [OOB]-accuracy = 0.754) and its severity (OOB-R2 = 0.247) were higher Expanded Disability Status scale (EDSS) score, lower RS-EC from left-caudate nucleus to left-DLPFC, lower fractional anisotropy between left-caudate nucleus and left-thalamus, higher mean diffusivity between right-caudate nucleus and right-thalamus, and longer disease duration. Microstructural abnormalities in connections among thalami, caudate nuclei and DLPFC, mainly left-lateralized in nF-PMS and more bilateral in F-PMS, higher RS-EC from left-DLPFC to right-DLPFC in nF-PMS and lower RS-EC from left-caudate nucleus to left-DLPFC in F-PMS, higher EDSS score, higher WM lesion volume, and lower cortical volume predicted worse dual-task performances (OOB-R2 from 0.426 to 0.530). CONCLUSIONS In PMS, structural and functional frontal cortico-subcortical abnormalities contribute to fatigue and worse dual-task performance, with different patterns according to the presence of fatigue.
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Affiliation(s)
- Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, Section Neurosciences, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Giampaolo Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy.,AISM Rehabilitation Service, Italian Multiple Sclerosis Society, Genoa, Italy
| | - Nicolò Bruschi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research, Biomedical Research Centre, University College London Hospitals, London, UK
| | - Nancy D Chiaravalloti
- Kessler Foundation, West Orange, NJ, USA.,Department of Physical Medicine and Rehabilitation, Rutgers NJ Medical School, Newark, NJ, USA
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ulrik Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - John DeLuca
- Kessler Foundation, West Orange, NJ, USA.,Department of Physical Medicine and Rehabilitation, Rutgers NJ Medical School, Newark, NJ, USA
| | - Rachel Farrell
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research, Biomedical Research Centre, University College London Hospitals, London, UK
| | - Peter Feys
- REVAL, Faculty of Rehabilitation Sciences, Hasselt University, Diepenbeek, Belgium
| | - Jennifer Freeman
- Faculty of Health, School of Health Professions, University of Plymouth, Plymouth, UK
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, and Center of Excellence for Biomedical Research, University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Cecilia Meza
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL, USA
| | - Amber Salter
- Department of Neurology, Section on Statistical Planning and Analysis, UT Southwestern Medical Center, Dallas, TX, USA
| | - Brian M Sandroff
- Kessler Foundation, West Orange, NJ, USA.,Department of Physical Medicine and Rehabilitation, Rutgers NJ Medical School, Newark, NJ, USA
| | - Anthony Feinstein
- Department of Psychiatry, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy.
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18
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Cagna CJ, Ceceli AO, Sandry J, Bhanji JP, Tricomi E, Dobryakova E. Altered functional connectivity during performance feedback processing in multiple sclerosis. Neuroimage Clin 2023; 37:103287. [PMID: 36516729 PMCID: PMC9755233 DOI: 10.1016/j.nicl.2022.103287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022]
Abstract
Effective learning from performance feedback is vital for adaptive behavior regulation necessary for successful cognitive performance. Yet, how this learning operates in clinical groups that experience cognitive dysfunction is not well understood. Multiple sclerosis (MS) is an autoimmune, degenerative disease of the central nervous system characterized by physical and cognitive dysfunction. A highly prevalent impairment in MS is cognitive fatigue (CF). CF is associated with altered functioning within cortico-striatal regions that also facilitate feedback-based learning in neurotypical (NT) individuals. Despite this cortico-striatal overlap, research about feedback-based learning in MS, its associated neural underpinnings, and its sensitivity to CF, are all lacking. The present study investigated feedback-based learning ability in MS, as well as associated cortico-striatal function and connectivity. MS and NT participants completed a functional magnetic resonance imaging (fMRI) paired-word association task during which they received trial-by-trial monetary, non-monetary, and uninformative performance feedback. Despite reporting greater CF throughout the task, MS participants displayed comparable task performance to NTs, suggesting preserved feedback-based learning ability in the MS group. Both groups recruited the ventral striatum (VS), caudate nucleus, and ventromedial prefrontal cortex in response to the receipt of performance feedback, suggesting that people with MS also recruit cortico-striatal regions during feedback-based learning. However, compared to NT participants, MS participants also displayed stronger functional connectivity between the VS and task-relevant regions, including the left angular gyrus and right superior temporal gyrus, in response to feedback receipt. Results indicate that CF may not interfere with feedback-based learning in MS. Nonetheless, people with MS may recruit alternative connections with the striatum to assist with this form of learning. These findings have implications for cognitive rehabilitation treatments that incorporate performance feedback to remediate cognitive dysfunction in clinical populations.
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Affiliation(s)
- Christopher J Cagna
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States.
| | - Ahmet O Ceceli
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, United States.
| | - Joshua Sandry
- Department of Psychology, Montclair State University, 1 Normal Avenue, Montclair, NJ 07043, United States.
| | - Jamil P Bhanji
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States.
| | - Elizabeth Tricomi
- Department of Psychology, Rutgers University - Newark, 101 Warren Street, Newark, NJ 07102, United States.
| | - Ekaterina Dobryakova
- Center for Traumatic Brain Injury Research, Kessler Foundation, 120 Eagle Rock Avenue, East Hanover, NJ 07936, United States.
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19
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Ziccardi S, Pizzini FB, Guandalini M, Tamanti A, Cristofori C, Calabrese M. Making Visible the Invisible: Automatically Measured Global and Regional Brain Volume Is Associated with Cognitive Impairment and Fatigue in Multiple Sclerosis. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 10:bioengineering10010041. [PMID: 36671613 PMCID: PMC9855175 DOI: 10.3390/bioengineering10010041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/23/2022] [Accepted: 12/25/2022] [Indexed: 12/30/2022]
Abstract
In multiple sclerosis (MS), the transition from relapsing-remitting to the secondary-progressive phase is characterized by a progression independent of relapse activity (PIRA), resulting in physical disability accumulation and invisible symptoms, i.e., fatigue and cognitive impairment (CI). These symptoms are related to neurodegenerative processes and have been correlated with MRI measures of brain atrophy only at a group level; however, the application in clinical practice of atrophy-based measurements for single-patient evaluation is yet to be fully investigated. In the present study, we aimed to evaluate the association between brain atrophy, measured with easy-to-use automatic software, and the "invisible" MS symptoms of cognition and fatigue. A total of 69 MS patients were included in the study; cognitive impairment and fatigue (FSS) (in addition to neurological disability, EDSS) were assessed and correlated with brain volumes calculated using the automated software QyScore® which is validated for single-patient use in the clinical setting. Results showed that the cognitive status was accurately reflected by measures of atrophy, with a sensitivity of up to 90%. CI patients showed a lower volume compared to cognitively normal patients in the whole brain (p = 0.017), gray matter (p = 0.042), insula (p = 0.035), cerebellum (p = 0.008), and limbic lobe (p = 0.049). FSS was associated with temporal lobe (r = -0.37, p = 0.013) and insular (r = -0.36, p = 0.019) volumes. The volumes of the same regions were also associated with EDSS. The global/regional atrophy results, assessed with automatic and easy-to-use software, correlated with cognitive and fatigue symptoms, thus supporting the clinical application in routine patient management.
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Affiliation(s)
- Stefano Ziccardi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Francesca Benedetta Pizzini
- Department of Diagnostics and Public Health, University of Verona, 37134 Verona, Italy
- Correspondence: (F.B.P.); (M.C.)
| | - Maddalena Guandalini
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Agnese Tamanti
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Cecilia Cristofori
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
| | - Massimiliano Calabrese
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy
- Correspondence: (F.B.P.); (M.C.)
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20
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Patient's perspective in clinical practice to assess and predict disability in multiple sclerosis. Sci Rep 2022; 12:18238. [PMID: 36309532 PMCID: PMC9617913 DOI: 10.1038/s41598-022-23088-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 10/25/2022] [Indexed: 12/31/2022] Open
Abstract
The information provided by a person with multiple sclerosis (MS) may anticipate changes in the course of the disease. To explore the role of a set of standardized patient-reported outcomes (PRO) in predicting disability progression in MS an observational study was conducted in two cohorts of 30 and 86 persons with progressive MS (pwPMS) and relapsing MS (pwRMS), respectively. The associations between baseline clinical, biochemical variables and results on MS quality of life scale (MusiQol), Modified Fatigue Impact Scale (MFIS) and Beck Depression Inventory II (BDI-II) were analyzed. The progression of disability after 2 years of follow-up in pwRMS was investigated. We show that PRO differentiated pwRMS and pwPMS cohorts with lower MusiQoL and higher MFIS and BDI-II scores in the latter. Only MFIS was correlated with disability in pwRMS and high scores in the physical MFIS domain associated with worse performance in 9HPT, and a trend in T25FW and SDMT. Instead, the cognitive MFIS domain was correlated with CHI3L1 in cerebrospinal fluid, a biomarker of progression. At the end of the study, global MFIS and BDI-II were found to be independent risk factors for disability independent of relapse. Although all PRO measures explored were altered in pwPMS, baseline MFIS discriminated current and prospective disability in pwRMS, identifying patients at risk of progression.
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21
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Royer N, Coates K, Aboodarda SJ, Camdessanché JP, Millet GY. How is neuromuscular fatigability affected by perceived fatigue and disability in people with multiple sclerosis? Front Neurol 2022; 13:983643. [DOI: 10.3389/fneur.2022.983643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
Abstract
Whereas fatigue is recognized to be the main complaint of patients with multiple sclerosis (PwMS), its etiology, and particularly the role of resistance to fatigability and its interplay with disability level, remains unclear. The purposes of this review were to (i) clarify the relationship between fatigue/disability and neuromuscular performance in PwMS and (ii) review the corticospinal and muscular mechanisms of voluntary muscle contraction that are altered by multiple sclerosis, and how they may be influenced by disability level or fatigue. Neuromuscular function at rest and during exercise are more susceptible to impairement, due to deficits in voluntary activation, when the disability is greater. Fatigue level is related to resistance to fatigability but not to neuromuscular function at rest. Neurophysiological parameters related to signal transmission such as central motor conduction time, motor evoked potentials amplitude and latency are affected by disability and fatigue levels but their relative role in the impaired production of torque remain unclear. Nonetheless, cortical reorganization represents the most likely explanation for the heightened fatigability during exercise for highly fatigued and/or disabled PwMS. Further research is needed to decipher how the fatigue and disability could influence fatigability for an ecological task, especially at the corticospinal level.
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22
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Giedraitiene N, Gasciauskaite G, Kaubrys G. Impact of autologous HSCT on the quality of life and fatigue in patients with relapsing multiple sclerosis. Sci Rep 2022; 12:15404. [PMID: 36100664 PMCID: PMC9470541 DOI: 10.1038/s41598-022-19748-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/02/2022] [Indexed: 12/04/2022] Open
Abstract
In this study, we aimed to assess the quality of life, fatigue, anxiety, and depression after Autologous haematopoietic stem cell transplantation (AHSCT) and to investigate its impact of on separate domains of health status and fatigue in patients with multiple sclerosis (MS). Overall, 18 patients with highly active relapsing MS (mean age 36.3 years, 83.3% female) underwent the AHSCT in Vilnius Multiple Sclerosis center, and we prospectively collected Short Form 36, Health Survey Questionnaire, Fatigue Descriptive Scale, and Hospital Anxiety and Depression Scale beforeand Month3, 12, and 24 after AHSCT. The median score of Expanded Disability Status Scale at Month3 after transplant improved in 14 patients (77.8%). A significant improvement in physical functioning, vitality, and pain was found at Month3 after AHSCT (p < 0.05), which was sustained until Month12 and 24. The improvement in fatigue score was found at Month12 after AHSCT, which was sustained until Month24. Decrease in EDSS score had a positive impact on the better HRQoL outcomes, especially physical and social outcomes. Thus, AHSCT improved quality of life and reduced symptoms of fatigue in patients with highly active relapsing MS. The improvement was determined earlier in the domains of QoL than in the fatigue.
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Marchesi O, Vizzino C, Filippi M, Rocca MA. Current perspectives on the diagnosis and management of fatigue in multiple sclerosis. Expert Rev Neurother 2022; 22:681-693. [PMID: 35881416 DOI: 10.1080/14737175.2022.2106854] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Fatigue is a common and debilitating symptom among multiple sclerosis (MS) patients with a prevalence up to 81% and with a considerable impact on quality of life. However, its subjective nature makes it difficult to define and quantify in clinical practice. Research aimed at a more precise definition and knowledge of this construct is thus continuously growing. AREAS COVERED This review summarizes the most relevant updates available on PubMed up to July 1st 2022 regarding: the assessment methods that aim to measure the concept of fatigue (as opposed to fatigability), the possible treatment pathways currently available to clinicians, interconnection with the pathophysiological substrates and with the common comorbidities of MS, such as depression and mood disorders. EXPERT OPINION The in-depth study of fatigue can help to better understand its actual impact on MS patients and can stimulate clinicians towards a more valid approach, through a targeted analysis of this symptom. Considering fatigue from a multidimensional perspective allows the use of patient-tailored methods for its identification and subsequent treatment by different professional figures. Better identification of methods and treatment pathways would reduce the extremely negative impact of fatigue on MS patients' quality of life.
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Affiliation(s)
- Olga Marchesi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carmen Vizzino
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit and IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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Chitnis T, Vandercappellen J, King M, Brichetto G. Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes. Neurol Ther 2022; 11:1043-1070. [PMID: 35680693 PMCID: PMC9338216 DOI: 10.1007/s40120-022-00368-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/16/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Fatigue, cognitive impairment, depression, and pain are highly prevalent symptoms in multiple sclerosis (MS). These often co-occur and may be explained by a common etiology. By reviewing existing literature, we aimed to identify potential underlying biological processes implicated in the interconnectivity between these symptoms. Methods A literature search was conducted to identify articles reporting research into the biological mechanisms responsible for the manifestation of fatigue, cognitive impairment, depression, and pain in MS. PubMed was used to search for articles published from July 2011 to July 2021. We reviewed and assessed findings from the literature to identify biological processes common to the symptoms of interest. Results Of 693 articles identified from the search, 252 were selected following screening of titles and abstracts and assessing reference lists of review articles. Four biological processes linked with two or more of the symptoms of interest were frequently identified from the literature: (1) direct neuroanatomical changes to brain regions linked with symptoms of interest (e.g., thalamic injury associated with cognitive impairment, fatigue, and depression), (2) pro-inflammatory cytokines associated with so-called ‘sickness behavior,’ including manifestation of fatigue, transient cognitive impairment, depression, and pain, (3) dysregulation of monoaminergic pathways leading to depressive symptoms and fatigue, and (4) hyperactivity of the hypothalamic–pituitary-adrenal (HPA) axis as a result of pro-inflammatory cytokines promoting the release of brain noradrenaline, serotonin, and tryptophan, which is associated with symptoms of depression and cognitive impairment. Conclusion The co-occurrence of fatigue, cognitive impairment, depression, and pain in MS appears to be associated with a common set of etiological factors, namely neuroanatomical changes, pro-inflammatory cytokines, dysregulation of monoaminergic pathways, and a hyperactive HPA axis. This association of symptoms and biological processes has important implications for disease management strategies and, eventually, could help find a common therapeutic pathway that will impact both inflammation and neuroprotection. Supplementary Information The online version contains supplementary material available at 10.1007/s40120-022-00368-2.
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Affiliation(s)
- Tanuja Chitnis
- Department of Neurology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | | | - Miriam King
- Novartis Pharma AG, Fabrikstrasse 12-2, 4056, Basel, Switzerland
| | - Giampaolo Brichetto
- Associazione Italiana Sclerosi Multipla Rehabilitation Center, Via Operai, 30, 16149, Genoa, GE, Italy
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Brain Structural and Functional Alterations in Multiple Sclerosis-Related Fatigue: A Systematic Review. Neurol Int 2022; 14:506-535. [PMID: 35736623 PMCID: PMC9228847 DOI: 10.3390/neurolint14020042] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 05/29/2022] [Accepted: 05/31/2022] [Indexed: 01/27/2023] Open
Abstract
Fatigue is one of the most disabling symptoms of multiple sclerosis (MS); it influences patients’ quality of life. The etiology of fatigue is complex, and its pathogenesis is still unclear and debated. The objective of this review was to describe potential brain structural and functional dysfunctions underlying fatigue symptoms in patients with MS. To reach this purpose, a systematic review was conducted of published studies comparing functional brain activation and structural brain in MS patients with and without fatigue. Electronic databases were searched until 24 February 2021. The structural and functional outcomes were extracted from eligible studies and tabulated. Fifty studies were included: 32 reported structural brain differences between patients with and without fatigue; 14 studies described functional alterations in patients with fatigue compared to patients without it; and four studies showed structural and functional brain alterations in patients. The results revealed structural and functional abnormalities that could correlate to the symptom of fatigue in patients with MS. Several studies reported the differences between patients with fatigue and patients without fatigue in terms of conventional magnetic resonance imaging (MRI) outcomes and brain atrophy, specifically in the thalamus. Functional studies showed abnormal activation in the thalamus and in some regions of the sensorimotor network in patients with fatigue compared to patients without it. Patients with fatigue present more structural and functional alterations compared to patients without fatigue. Specifically, abnormal activation and atrophy of the thalamus and some regions of the sensorimotor network seem linked to fatigue.
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Assessment of economic burden of fatigue in adults with multiple sclerosis: an analysis of US National Health and Wellness Survey data. Mult Scler Relat Disord 2022; 65:103971. [DOI: 10.1016/j.msard.2022.103971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/09/2022] [Accepted: 06/13/2022] [Indexed: 11/21/2022]
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García-Muñoz C, Casuso-Holgado MJ, Hernández-Rodríguez JC, Pinero-Pinto E, Palomo-Carrión R, Cortés-Vega MD. Feasibility and safety of an immersive virtual reality-based vestibular rehabilitation programme in people with multiple sclerosis experiencing vestibular impairment: a protocol for a pilot randomised controlled trial. BMJ Open 2021; 11:e051478. [PMID: 34810187 PMCID: PMC8609940 DOI: 10.1136/bmjopen-2021-051478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 10/22/2021] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION Vestibular system damage in patients with multiple sclerosis (MS) may have a central and/or peripheral origin. Subsequent vestibular impairments may contribute to dizziness, balance disorders and fatigue in this population. Vestibular rehabilitation targeting vestibular impairments may improve these symptoms. Furthermore, as a successful tool in neurological rehabilitation, immersive virtual reality (VRi) could also be implemented within a vestibular rehabilitation intervention. METHODS AND ANALYSIS This protocol describes a parallel-arm, pilot randomised controlled trial, with blinded assessments, in 30 patients with MS with vestibular impairment (Dizziness Handicap Inventory ≥16). The experimental group will receive a VRi vestibular rehabilitation intervention based on the conventional Cawthorne-Cooksey protocol; the control group will perform the conventional protocol. The duration of the intervention in both groups will be 7 weeks (20 sessions, 3 sessions/week). The primary outcomes are the feasibility and safety of the vestibular VRi intervention in patients with MS. Secondary outcome measures are dizziness symptoms, balance performance, fatigue and quality of life. Quantitative assessment will be carried out at baseline (T0), immediately after intervention (T1), and after a follow-up period of 3 and 6 months (T2 and T3). Additionally, in order to further examine the feasibility of the intervention, a qualitative assessment will be performed at T1. ETHICS AND DISSEMINATION The study was approved by the Andalusian Review Board and Ethics Committee, Virgen Macarena-Virgen del Rocio Hospitals (ID 2148-N-19, 25 March 2020). Informed consent will be collected from participants who wish to participate in the research. The results of this research will be disseminated by publication in peer-reviewed scientific journals. TRIAL REGISTRATION NUMBER NCT04497025.
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Affiliation(s)
| | | | | | | | - Rocío Palomo-Carrión
- Department of Nursery, Physiotherapy and Occupational Therapy, University of Castilla-La Mancha, Toledo, Spain
- GIFTO, Physiotherapy Research Group, Toledo, Spain
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Enoka RM, Almuklass AM, Alenazy M, Alvarez E, Duchateau J. Distinguishing between Fatigue and Fatigability in Multiple Sclerosis. Neurorehabil Neural Repair 2021; 35:960-973. [PMID: 34583577 DOI: 10.1177/15459683211046257] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Fatigue is one of the most common debilitating symptoms reported by persons with multiple sclerosis (MS). It reflects feelings of tiredness, lack of energy, low motivation, and difficulty in concentrating. It can be measured at a specific instant in time as a perception that arises from interoceptive networks involved in the regulation of homeostasis. Such ratings indicate the state level of fatigue and likely reflect an inability to correct deviations from a balanced homeostatic state. In contrast, the trait level of fatigue is quantified in terms of work capacity (fatigability), which can be either estimated (perceived fatigability) or measured (objective fatigability). Clinically, fatigue is most often quantified with questionnaires that require respondents to estimate their past capacity to perform several cognitive, physical, and psychosocial tasks. These retrospective estimates provide a measure of perceived fatigability. In contrast, the change in an outcome variable during the actual performance of a task provides an objective measure of fatigability. Perceived and objective fatigability do not assess the same underlying construct. Persons with MS who report elevated trait levels of fatigue exhibit deficits in interoceptive networks (insula and dorsal anterior cingulate cortex), including increased functional connectivity during challenging tasks. The state and trait levels of fatigue reported by an individual can be modulated by reward and pain pathways. Understanding the distinction between fatigue and fatigability is critical for the development of effective strategies to reduce the burden of the symptom for individuals with MS.
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Affiliation(s)
- Roger M Enoka
- Department of Integrative Physiology, 1877University of Colorado Boulder, Boulder, CO, USA
| | - Awad M Almuklass
- College of Medicine, 48149King Saud bin Abdulaziz University for Health Sciences and King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Mohammed Alenazy
- Department of Integrative Physiology, 1877University of Colorado Boulder, Boulder, CO, USA
| | - Enrique Alvarez
- Department of Neurology, 129263University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jacques Duchateau
- Laboratory of Applied Biology and Neurophysiology, ULB Neuroscience Institute, 26659Université Libre de Bruxelles, Brussels, Belgium
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Riccitelli GC, Disanto G, Sacco R, Sparasci D, Sacco L, Castelnovo A, Miano S, Manconi M, Gobbi C, Zecca C. Contribution of sleep disturbances to fatigue in multiple sclerosis: a prospective study using clinical and polysomnographic parameters. Eur J Neurol 2021; 28:3139-3146. [PMID: 34143510 PMCID: PMC8457159 DOI: 10.1111/ene.14984] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 05/20/2021] [Accepted: 06/03/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND AND PURPOSE Fatigue is amongst the most frequent and disabling symptoms of multiple sclerosis and a close relation between fatigue and sleep quality has been hypothesized. In this study the contribution of sleep disturbances measured by clinical and polysomnographic parameters to fatigue in multiple sclerosis was investigated. METHODS This was a prospective instrumental study performed at the Neurocenter of Southern Switzerland. Demographic data and clinical characteristics including fatigue (as measured by the modified fatigue impact scale [MFIS]), neurological disability, psychiatric symptoms, medications and sleep-related variables were collected at baseline visit and by a home full-night polysomnography. The associations between sleep-related variables and the MFIS were tested using partial correlations adjusted by demographic and sleep-unrelated clinical factors. RESULTS Seventy-six patients were included in the study, of whom 53 (69.7%) had an MFIS ≥38 points (median 49.5, interquartile range 31.0-62.0). MFIS scores were positively associated with age, neurological disability, symptoms of depression and anxiety, and use of benzodiazepines and selective serotonin reuptake inhibitors. When adjusting for these variables, the presence of restless legs syndrome (RLS) (r = 0.37, p = 0.005) and periodic leg movements index (r = -0.33, p = 0.014) were associated with MFIS. Excessive daytime sleepiness, total sleep time, sleep efficiency, respiratory disturbances, and percentage of time spent in the different sleep stages (N1, N2, N3 and rapid eye movement) were not associated with fatigue. CONCLUSIONS Multiple sclerosis patients with a diagnosis of RLS had significantly higher global fatigue scores compared to those without RLS. Future studies should investigate whether medical treatment of RLS can ameliorate fatigue.
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Affiliation(s)
- Gianna C. Riccitelli
- Multiple Sclerosis CenterNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Neuropsychology and Behavioral Neurology Research UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Faculty of Biomedical SciencesUniversità della Svizzera ItalianaLuganoSwitzerland
| | - Giulio Disanto
- Multiple Sclerosis CenterNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
| | - Rosaria Sacco
- Multiple Sclerosis CenterNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
| | - Davide Sparasci
- Sleep Medicine UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
| | - Leonardo Sacco
- Neuropsychology and Behavioral Neurology Research UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
| | - Anna Castelnovo
- Sleep Medicine UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Faculty of Biomedical SciencesUniversità della Svizzera ItalianaLuganoSwitzerland
- University Hospital of Psychiatry and PsychotherapyUniversity of BernBernSwitzerland
| | - Silvia Miano
- Neuropsychology and Behavioral Neurology Research UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
| | - Mauro Manconi
- Sleep Medicine UnitNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Faculty of Biomedical SciencesUniversità della Svizzera ItalianaLuganoSwitzerland
- Neurology Department InselspitalBern University HospitalBernSwitzerland
| | - Claudio Gobbi
- Multiple Sclerosis CenterNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Faculty of Biomedical SciencesUniversità della Svizzera ItalianaLuganoSwitzerland
| | - Chiara Zecca
- Multiple Sclerosis CenterNeurocenter of Southern SwitzerlandRegional Hospital (EOC) of LuganoLuganoSwitzerland
- Faculty of Biomedical SciencesUniversità della Svizzera ItalianaLuganoSwitzerland
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