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Mahmoudi F, McCarthy M, Nelson F. Functional MRI and cognition in multiple sclerosis-Where are we now? J Neuroimaging 2025; 35:e13252. [PMID: 39636088 PMCID: PMC11619555 DOI: 10.1111/jon.13252] [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: 09/24/2024] [Revised: 11/05/2024] [Accepted: 11/06/2024] [Indexed: 12/07/2024] Open
Abstract
Multiple sclerosis-related cognitive impairment (MSrCI) affects most patients with multiple sclerosis (MS), significantly contributing to disability and socioeconomic challenges. MSrCI manifests across all disease stages, mainly impacting working memory, information processing, and attention. To date, the underlying mechanisms of MSrCI remain unclear, with its pathogenesis considered multifactorial. While conventional MRI findings correlate with MSrCI, there is no consensus on reliable imaging metrics to detect or diagnose cognitive impairment (CI). Functional MRI (fMRI) has provided unique insights into the brain's neuroplasticity mechanisms, revealing evidence of compensatory mechanisms in response to tissue damage, both beneficial and maladaptive. This review summarizes the current literature on the application of resting-state fMRI (rs-fMRI) and task-based fMRI (tb-fMRI) in understanding neuroplasticity and its relationship with cognitive changes in people with MS (pwMS). Searches of databases, including PubMed/Medline, Embase, Scopus, and the Web of Science, were conducted for the most recent fMRI cognitive studies in pwMS. Key findings ifrom rs-fMRI studies reveal disruptions in brain connectivity and hub integration, leading to CI due to decreased network efficiency. tb-fMRI studies highlight abnormal brain activation patterns in pwMS, with evidence of increased fMRI activity in earlier disease stages as a beneficial compensatory response, followed by reduced activation correlating with increased lesion burden and cognitive decline as the disease progresses. This suggests a gradual exhaustion of compensatory mechanisms over time. These findings support fMRI not only as a diagnostic tool for MSrCI but also as a potential imaging biomarker to improve our understanding of disease progression.
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Affiliation(s)
| | | | - Flavia Nelson
- Department of NeurologyUniversity of MiamiMiamiFloridaUSA
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2
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Lindberg M, Ranner M, Jacobsson L, Månsson Lexell E, Larsson-Lund M. Can the internet based intervention 'strategies for empowering activities in everyday life' support people with cognitive difficulties to self-manage digital work and everyday life? Scand J Occup Ther 2024; 31:2438783. [PMID: 39676533 DOI: 10.1080/11038128.2024.2438783] [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: 09/09/2024] [Revised: 11/26/2024] [Accepted: 12/03/2024] [Indexed: 12/17/2024]
Abstract
BACKGROUND Digital work can be cognitively challenging especially for people with cognitive difficulties. New occupational therapy interventions are needed to empower these persons to self-manage challenges in digital work and everyday life. To address this need, the internet-based intervention 'Strategies for Empowering Activities in Everyday Life' (SEE 2.0) was tested. AIM To explore and describe how SEE can support the development of self-management in people with cognitive difficulties who engage in digital work and other occupations in everyday life. MATERIAL AND METHODS A qualitative, descriptive case study included four participants with cognitive difficulties due to neurological disorders who participated in SEE. Data were collected through semi-structured interviews, self-reports and assessments then analysed using pattern matching. RESULTS Three cases were formed. Two cases (three people) adhered to SEE's intervention process, resulting in increased work hours, improved occupational balance, and greater engagement in valued occupations. One case (one person) could not fully adhere to the process and struggled to adopt changes. CONCLUSIONS SEE shows potential in supporting self-management, promoting sustainable digital work and everyday life. SIGNIFICANCE SEE can add to existing vocational rehabilitation programs by empowering persons to utilise their own resources to manage challenges in everyday life.
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Affiliation(s)
- Monika Lindberg
- Department of Health, Education and Technology, Division of Health, Medicine and Rehabilitation, Luleå University of Technology, Luleå, Sweden
| | - Maria Ranner
- Department of Health, Education and Technology, Division of Health, Medicine and Rehabilitation, Luleå University of Technology, Luleå, Sweden
| | - Lars Jacobsson
- Department of Health, Education and Technology, Division of Health, Medicine and Rehabilitation, Luleå University of Technology, Luleå, Sweden
- Department of Health Sciences, Lund University, Lund, Sweden
- Department of Neurology, Rehabilitation Medicine, Memory Disorders, and Geriatrics, Skåne University Hospital, Lund-Malmö, Sweden
| | - Eva Månsson Lexell
- Department of Health Sciences, Lund University, Lund, Sweden
- Department of Rehabilitation Medicine, Sunderby Hospital, Luleå, Sweden
| | - Maria Larsson-Lund
- Department of Health, Education and Technology, Division of Health, Medicine and Rehabilitation, Luleå University of Technology, Luleå, Sweden
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3
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Fernández Ó, Montalbán X, Agüera E, Aladro Y, Alonso A, Arroyo R, Brieva L, Calles C, Costa-Frossard L, Eichau S, García-Domínguez JM, Hernández MÁ, Landete L, Llaneza M, Llufriu S, Meca-Lallana JE, Meca-Lallana V, Moral E, Prieto JM, Ramió-Torrentà L, Téllez N, Romero-Pinel L, Vilaseca A, Rodríguez-Antigüedad A. [XVI Post-ECTRIMS Meeting: review of the new developments presented at the 2023 ECTRIMS Congress (II)]. Rev Neurol 2024; 79:51-66. [PMID: 38976584 PMCID: PMC11469095 DOI: 10.33588/rn.7902.2024174] [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: 05/31/2024] [Indexed: 07/10/2024]
Abstract
The XVI Post-ECTRIMS meeting was held in Seville on 20 and 21 October 2023, where expert neurologists in multiple sclerosis (MS) summarised the main new developments presented at the ECTRIMS 2023 congress, which took place in Milan from 11 to 13 October. The aim of this article is to summarise the content presented at the Post-ECTRIMS Meeting, in an article in two parts. This second part covers the health of women and elderly MS patients, new trends in the treatment of cognitive impairment, focusing particularly on meditation, neuroeducation and cognitive rehabilitation, and introduces the concept of fatigability, which has been used to a limited extent in MS. The key role of digitalization and artificial intelligence in the theoretically near future is subject to debate, along with the potential these technologies can offer. The most recent research on the various treatment algorithms and their efficacy and safety in the management of the disease is reviewed. Finally, the most relevant data for cladribine and evobrutinib are presented, as well as future therapeutic strategies currently being investigated.
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Affiliation(s)
- Óscar Fernández
- Departamento de Farmacología. Facultad de Medicina. Universidad de Málaga, Málaga, EspañaUniversidad de MálagaUniversidad de MálagaMálagaEspaña
- Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, EspañaInstituto de Investigación Biomédica de Málaga (IBIMA)Instituto de Investigación Biomédica de Málaga (IBIMA)MálagaEspaña
- Hospital Universitario Regional de Málaga-Universidad de Málaga, Málaga, EspañaHospital Universitario Regional de Málaga-Universidad de MálagaHospital Universitario Regional de Málaga-Universidad de MálagaMálagaEspaña
| | - Xavier Montalbán
- CEMCAT. Hospital Universitari Vall d’Hebron-Universitat Autònoma de Barcelona. Barcelona, EspañaHospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaHospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaBarcelonaEspaña
| | - Eduardo Agüera
- Servicio de Neurología. Hospital Reina Sofía. Córdoba, EspañaHospital Reina SofíaHospital Reina SofíaCórdobaEspaña
| | - Yolanda Aladro
- Servicio de Neurología. Hospital Universitario de Getafe. Getafe, EspañaHospital Universitario de GetafeHospital Universitario de GetafeGetafeEspaña
| | - Ana Alonso
- Unidad de Esclerosis Múltiple. Servicio de Neurología, Málaga, EspañaServicio de NeurologíaServicio de NeurologíaMálagaEspaña
| | - Rafael Arroyo
- Servicio de Neurología. Hospital Universitario Quirónsalud. Madrid, EspañaHospital Universitario QuirónsaludHospital Universitario QuirónsaludMadridEspaña
| | - Luis Brieva
- Hospital Universitari Arnau de Vilanova-Universitat de Lleida. Lleida, EspañaHospital Universitari Arnau de Vilanova-Universitat de LleidaHospital Universitari Arnau de Vilanova-Universitat de LleidaLleidaEspaña
| | - Carmen Calles
- Servicio de Neurología. Hospital Universitario Son Espases. Palma de Mallorca, EspañaHospital Universitario Son EspasesHospital Universitario Son EspasesPalma de MallorcaEspaña
| | - Lucienne Costa-Frossard
- CSUR de Esclerosis Múltiple. Hospital Universitario Ramón y Cajal. Madrid, EspañaHospital Universitario Ramón y CajalHospital Universitario Ramón y CajalMadridEspaña
| | - Sara Eichau
- Servicio de Neurología. Hospital Universitario Virgen Macarena. Sevilla, EspañaHospital Universitario Virgen MacarenaHospital Universitario Virgen MacarenaSevillaEspaña
| | - José M. García-Domínguez
- Hospital Universitario Gregorio Marañón. Madrid, EspañaHospital Universitario Gregorio MarañónHospital Universitario Gregorio MarañónMadridEspaña
| | - Miguel Á. Hernández
- Servicio de Neurología. Hospital Nuestra Señora de Candelaria. Santa Cruz de Tenerife, EspañaHospital Nuestra Señora de CandelariaHospital Nuestra Señora de CandelariaSanta Cruz de TenerifeEspaña
| | - Lamberto Landete
- Servicio de Neurología. Hospital Universitario Doctor Peset. Valencia, EspañaHospital Universitario Doctor PesetHospital Universitario Doctor PesetValenciaEspaña
| | - Miguel Llaneza
- Servicio de Neurología. Hospital Universitario Central de Asturias. Oviedo, EspañaHospital Universitario Central de AsturiasHospital Universitario Central de AsturiasOviedoEspaña
| | - Sara Llufriu
- Unidad de Neuroinmunología y Esclerosis Múltiple. Hospital Clínic de Barcelona e IDIBAPS. Barcelona, EspañaHospital Clínic de Barcelona e IDIBAPSHospital Clínic de Barcelona e IDIBAPSBarcelonaEspaña
| | - José E. Meca-Lallana
- Unidad de Neuroinmunología Clínica y CSUR Esclerosis Múltiple. Servicio de Neurología. Hospital Clínico Universitario Virgen de la Arrixaca (IMIB-Arrixaca). Murcia, EspañaHospital Clínico Universitario Virgen de la Arrixaca (IMIB-ArrixacaHospital Clínico Universitario Virgen de la Arrixaca (IMIB-ArrixacaMurciaEspaña
- Cátedra de Neuroinmunología Clínica y Esclerosis Múltiple. Universidad Católica San Antonio (UCAM). Murcia, EspañaUniversidad Católica San Antonio (UCAM)Universidad Católica San Antonio (UCAM)MurciaEspaña
| | - Virginia Meca-Lallana
- Servicio de Neurología. Hospital Universitario de La Princesa. Madrid, EspañaHospital Universitario de La PrincesaHospital Universitario de La PrincesaMadridEspaña
| | - Ester Moral
- Servicio de Neurología. Complejo Hospitalario Universitario Moisès Broggi. Sant Joan Despí, EspañaComplejo Hospitalario Universitario Moisès BroggiComplejo Hospitalario Universitario Moisès BroggiSant Joan DespíEspaña
| | - José M. Prieto
- Servicio de Neurología. Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS). Santiago de Compostela, EspañaInstituto de Investigación Sanitaria de Santiago de Compostela (IDIS)Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS)Santiago de CompostelaEspaña
| | - Lluís Ramió-Torrentà
- Unitat de Neuroimmunologia i Esclerosi Múltiple Territorial de Girona (UNIEMTG). Hospital Universitari Dr. Josep Trueta. Girona, EspañaHospital Universitari Dr. Josep TruetaHospital Universitari Dr. Josep TruetaGironaEspaña
- Hospital Santa Caterina. IDIBGI. Girona, EspañaHospital Santa CaterinaHospital Santa CaterinaGironaEspaña
- Grup Neurodegeneració i Neuroinflamació. IDIBGI. Girona, EspañaIDIBGIIDIBGIGironaEspaña
- Departamento de Ciencias Médicas. Universitat de Girona. Girona, EspañaUniversitat de GironaUniversitat de GironaGironaEspaña
| | - Nieves Téllez
- Hospital Clínico Universitario de Valladolid. Valladolid, EspañaHospital Clínico Universitario de ValladolidHospital Clínico Universitario de ValladolidValladolidEspaña
| | - Lucía Romero-Pinel
- Hospital Universitari de Bellvitge-IDIBELL. L’Hospitalet de Llobregat. Barakaldo, EspañaHospital Universitari de Bellvitge-IDIBELLHospital Universitari de Bellvitge-IDIBELLBarakaldoEspaña
| | - Andreu Vilaseca
- CEMCAT. Hospital Universitari Vall d’Hebron-Universitat Autònoma de Barcelona. Barcelona, EspañaHospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaHospital Universitari Vall d’Hebron-Universitat Autònoma de BarcelonaBarcelonaEspaña
| | - Alfredo Rodríguez-Antigüedad
- Servicio de Neurología. Hospital Universitario Cruces. Barakaldo, EspañaHospital Universitario CrucesHospital Universitario CrucesBarakaldoEspaña
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Rocca MA, Romanò F, Tedone N, Filippi M. Advanced neuroimaging techniques to explore the effects of motor and cognitive rehabilitation in multiple sclerosis. J Neurol 2024; 271:3806-3848. [PMID: 38691168 DOI: 10.1007/s00415-024-12395-0] [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: 01/31/2024] [Revised: 04/17/2024] [Accepted: 04/17/2024] [Indexed: 05/03/2024]
Abstract
INTRODUCTION Progress in magnetic resonance imaging (MRI) technology and analyses is improving our comprehension of multiple sclerosis (MS) pathophysiology. These advancements, which enable the evaluation of atrophy, microstructural tissue abnormalities, and functional plasticity, are broadening our insights into the effectiveness and working mechanisms of motor and cognitive rehabilitative treatments. AREAS COVERED This narrative review with selected studies discusses findings derived from the application of advanced MRI techniques to evaluate structural and functional neuroplasticity modifications underlying the effects of motor and cognitive rehabilitative treatments in people with MS (PwMS). Current applications as outcome measure in longitudinal trials and observational studies, their interpretation and possible pitfalls and limitations in their use are covered. Finally, we examine how the use of these techniques could evolve in the future to improve monitoring of motor and cognitive rehabilitative treatments. EXPERT COMMENTARY Despite substantial variability in study design and participant characteristics in rehabilitative studies for PwMS, improvements in motor and cognitive functions accompanied by structural and functional brain modifications induced by rehabilitation can be observed. However, significant enhancements to refine rehabilitation strategies are needed. Future studies in this field should strive to implement standardized methodologies regarding MRI acquisition and processing, possibly integrating multimodal measures. This will help identifying relevant markers of treatment response in PwMS, thus improving the use of rehabilitative interventions at individual level. The combination of motor and cognitive strategies, longer periods of treatment, as well as adequate follow-up assessments will contribute to enhance the quality of evidence in support of their routine use.
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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.
| | - Francesco Romanò
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicolò Tedone
- 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
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5
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van Dam M, Krijnen EA, Nauta IM, Fuchs TA, de Jong BA, Klein M, van der Hiele K, Schoonheim MM, Hulst HE. Identifying and understanding cognitive profiles in multiple sclerosis: a role for visuospatial memory functioning. J Neurol 2024; 271:2195-2206. [PMID: 38409536 PMCID: PMC11055708 DOI: 10.1007/s00415-024-12227-1] [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: 11/06/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND The heterogeneous nature of cognitive impairment in people with multiple sclerosis (PwMS) hampers understanding of the underlying mechanisms and developing patient-tailored interventions. We aim to identify and classify cognitive profiles in PwMS, comparing these to cognitive status (preserved versus impaired). METHODS We included 1213 PwMS (72% female, age 45.4 ± 10.7 years, 83% relapsing-remitting MS). Cognitive test scores were converted to Z-scores compared to healthy controls for the functions: attention, inhibition, information processing speed (IPS), verbal fluency and verbal/visuospatial memory. Concerning cognitive status, impaired cognition (CI) was defined as performing at Z ≤ - 1.5 SD on ≥ 2 functions. Cognitive profiles were constructed using latent profile analysis on all cognitive functions. Cognitive profiles or status was classified using gradient boosting decision trees, providing the importance of each feature (demographics, clinical, cognitive and psychological functioning) for the overall classification. RESULTS Six profiles were identified, showing variations in overall performance and specific deficits (attention, inhibition, IPS, verbal fluency, verbal memory and visuospatial memory). Across the profiles, IPS was the most impaired function (%CI most preserved profile, Profile 1 = 22.4%; %CI most impaired profile, Profile 6 = 76.6%). Cognitive impairment varied from 11.8% in Profile 1 to 95.3% in Profile 6. Of all cognitive functions, visuospatial memory was most important in classifying profiles and IPS the least (area under the curve (AUC) = 0.910). For cognitive status, IPS was the most important classifier (AUC = 0.997). CONCLUSIONS This study demonstrated that cognitive heterogeneity in MS reflects a continuum of cognitive severity, distinguishable by distinct cognitive profiles, primarily explained by variations in visuospatial memory functioning.
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Affiliation(s)
- Maureen van Dam
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Wassenaarseweg 52, Leiden, The Netherlands.
| | - Eva A Krijnen
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ilse M Nauta
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Tom A Fuchs
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Brigit A de Jong
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Martin Klein
- Medical Psychology, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Karin van der Hiele
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Wassenaarseweg 52, Leiden, The Netherlands
| | - Menno M Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Institute of Psychology, Health, Medical and Neuropsychology Unit, Leiden University, Wassenaarseweg 52, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden University, Wassenaarseweg 52, 2333AK, Leiden, The Netherlands
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6
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Bouman PM, van Dam MA, Jonkman LE, Steenwijk MD, Schoonheim MM, Geurts JJG, Hulst HE. Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time. J Neurol 2024; 271:2159-2168. [PMID: 38286843 PMCID: PMC11055711 DOI: 10.1007/s00415-024-12185-8] [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: 09/22/2023] [Revised: 12/25/2023] [Accepted: 01/02/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVES To study the frequency of isolated (i.e., single-domain) cognitive impairments, domain specific MRI correlates, and its longitudinal development in people with multiple sclerosis (PwMS). METHODS 348 PwMS (mean age 48 ± 11 years, 67% female, 244RR/52SP/38PP) underwent neuropsychological testing (extended BRB-N) at baseline and at five-year follow-up. At baseline, structural MRI was acquired. Isolated cognitive impairment was defined as a Z-score of at least 1.5 SD below normative data in one domain only (processing speed, memory, executive functioning/working memory, and attention). Multi-domain cognitive impairment was defined as being affected in ≥ 2 domains, and cognitively preserved otherwise. For PwMS with isolated cognitive impairment, MRI correlates were explored using linear regression. Development of isolated cognitive impairment over time was evaluated based on reliable change index. RESULTS At baseline, 108 (31%) PwMS displayed isolated cognitive impairment, 148 (43%) PwMS displayed multi-domain cognitive impairment. Most PwMS with isolated cognitive impairment were impaired on executive functioning/working memory (EF/WM; N = 37), followed by processing speed (IPS; N = 25), memory (N = 23), and attention (N = 23). Isolated IPS impairment was explained by a model of cortical volume and fractional anisotropy (adj. R2 = 0.539, p < 0.001); memory by a model with cortical volume and hippocampal volume (adj. R2 = 0.493, p = 0.002); EF/WM and attention were not associated with any MRI measure. At follow-up, cognitive decline was present in 11/16 (69%) of PwMS with isolated IPS impairment at baseline. This percentage varied between 18 and 31% of PwMS with isolated cognitive impairment in domains other than IPS at baseline. CONCLUSION Isolated cognitive impairment is frequently present in PwMS and can serve as a proxy for further decline, particularly when it concerns processing speed. Cortical and deep grey matter atrophy seem to play a pivotal role in isolated cognitive impairment. Timely detection and patient-tailored intervention, predominantly for IPS, may help to postpone further cognitive decline.
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Affiliation(s)
- Piet M Bouman
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands.
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Maureen A van Dam
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Laura E Jonkman
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging and Neurodegeneration, Amsterdam, The Netherlands
| | - Martijn D Steenwijk
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
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7
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Nauta IM, Kessels RPC, Bertens D, Stam CJ, Strijbis EEM, Hillebrand A, Fasotti L, Uitdehaag BMJ, Hulst HE, Speckens AEM, Schoonheim MM, de Jong BA. Neurophysiological brain function predicts response to cognitive rehabilitation and mindfulness in multiple sclerosis: a randomized trial. J Neurol 2024; 271:1649-1662. [PMID: 38278979 PMCID: PMC10972975 DOI: 10.1007/s00415-024-12183-w] [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: 09/26/2023] [Revised: 12/07/2023] [Accepted: 12/30/2023] [Indexed: 01/28/2024]
Abstract
BACKGROUND Cognitive treatment response varies highly in people with multiple sclerosis (PwMS). Identification of mechanisms is essential for predicting response. OBJECTIVES This study aimed to investigate whether brain network function predicts response to cognitive rehabilitation therapy (CRT) and mindfulness-based cognitive therapy (MBCT). METHODS PwMS with cognitive complaints completed CRT, MBCT, or enhanced treatment as usual (ETAU) and performed three measurements (baseline, post-treatment, 6-month follow-up). Baseline magnetoencephalography (MEG) measures were used to predict treatment effects on cognitive complaints, personalized cognitive goals, and information processing speed (IPS) using mixed models (secondary analysis REMIND-MS study). RESULTS We included 105 PwMS (96 included in prediction analyses; 32 CRT, 31 MBCT, 33 ETAU), and 56 healthy controls with baseline MEG. MEG did not predict reductions in complaints. Higher connectivity predicted better goal achievement after MBCT (p = 0.010) and CRT (p = 0.018). Lower gamma power (p = 0.006) and higher connectivity (p = 0.020) predicted larger IPS benefits after MBCT. These MEG predictors indicated worse brain function compared to healthy controls (p < 0.05). CONCLUSIONS Brain network function predicted better cognitive goal achievement after MBCT and CRT, and IPS improvements after MBCT. PwMS with neuronal slowing and hyperconnectivity were most prone to show treatment response, making network function a promising tool for personalized treatment recommendations. TRIAL REGISTRATION The REMIND-MS study was prospectively registered in the Dutch Trial registry (NL6285; https://trialsearch.who.int/Trial2.aspx?TrialID=NTR6459 ).
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Affiliation(s)
- Ilse M Nauta
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
| | - Roy P C Kessels
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Klimmendaal Rehabilitation Center, Arnhem, The Netherlands
- Vincent Van Gogh Institute for Psychiatry, Venray, The Netherlands
- Department of Medical Psychology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dirk Bertens
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Klimmendaal Rehabilitation Center, Arnhem, The Netherlands
| | - Cornelis J Stam
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- MEG Center, Clinical Neurophysiology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Eva E M Strijbis
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Arjan Hillebrand
- MEG Center, Clinical Neurophysiology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Luciano Fasotti
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Klimmendaal Rehabilitation Center, Arnhem, The Netherlands
| | - Bernard M J Uitdehaag
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Anne E M Speckens
- Department of Psychiatry, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Menno M Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Brigit A de Jong
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
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8
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Ziccardi S, Fuchs T, Dwyer MG, Zivadinov R, Hulst HE, Calabrese M, Benedict RH. Cognitive phenotypes predict response to restorative cognitive rehabilitation in multiple sclerosis. Mult Scler 2024; 30:448-452. [PMID: 37942544 DOI: 10.1177/13524585231208331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023]
Abstract
BACKGROUND Cognitive phenotyping may be useful for predicting rehabilitation response in multiple sclerosis. OBJECTIVE To evaluate the association between cognitive phenotype(s) and response to restorative cognitive rehabilitation (RRCR). METHODS In a post hoc retrospective analysis of the RRCR study including 51 multiple sclerosis patients, we evaluated both impairment within specific cognitive domains as well as overall global impairment severity to investigate their relationship to improvement following rehabilitation. RESULTS Greater improvement in executive function was predicted by impairment within this domain as well as by having fewer impaired cognitive domains overall. Similar results were observed for visuospatial memory. CONCLUSIONS Patients most likely to benefit from restorative cognitive rehabilitation may exhibit impairment within the domain of interest yet lower cognitive burden overall.
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Affiliation(s)
- Stefano Ziccardi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Tom Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Amsterdam, The Netherlands
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Massimiliano Calabrese
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ralph Hb Benedict
- Departments of Neurology and Psychiatry, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
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9
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Aarts J, Saddal SRD, Bosmans JE, de Groot V, de Jong BA, Klein M, Ruitenberg MFL, Schaafsma FG, Schippers ECF, Schoonheim MM, Uitdehaag BMJ, van der Veen S, Waskowiak PT, Widdershoven GAM, van der Hiele K, Hulst HE. Don't be late! Postponing cognitive decline and preventing early unemployment in people with multiple sclerosis: a study protocol. BMC Neurol 2024; 24:28. [PMID: 38225561 PMCID: PMC10789039 DOI: 10.1186/s12883-023-03513-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/17/2023] [Indexed: 01/17/2024] Open
Abstract
BACKGROUND Up to 65% of people with multiple sclerosis (PwMS) develop cognitive deficits, which hampers their ability to work, participating in day-to-day life and ultimately reducing quality of life (QoL). Early cognitive symptoms are often less tangible to PwMS and their direct environment and are noticed only when symptoms and work functioning problems become more advanced, i.e., when (brain) damage is already advanced. Treatment of symptoms at a late stage can lead to cognitive impairment and unemployment, highlighting the need for preventative interventions in PwMS. AIMS This study aims to evaluate the (cost-) effectiveness of two innovative preventative interventions, aimed at postponing cognitive decline and work functioning problems, compared to enhanced usual care in improving health-related QoL (HRQoL). METHODS Randomised controlled trial including 270 PwMS with mild cognitive impairment, who have paid employment ≥ 12 h per week and are able to participate in physical exercise (Expanded Disability Status Scale < 6.0). Participants are randomised across three study arms: 1) 'strengthening the brain' - a lifestyle intervention combining personal fitness, mental coaching, dietary advice, and cognitive training; 2) 'strengthening the mind' - a work-focused intervention combining the capability approach and the participatory approach in one-on-one coaching by trained work coaches who have MS themselves; 3) Control group-receiving general information about cognitive impairment in MS and receiving care as usual. Intervention duration is four months, with short-term and long-term follow-up measurements at 10 and 16 months, respectively. The primary outcome measure of the Don't be late! intervention study will be HRQoL as measured with the 36-item Short Form. Secondary outcomes include cognition, work related outcomes, physical functioning, structural and functional brain changes, psychological functioning, and societal costs. Semi-structured interviews and focus groups with stakeholders will be organised to qualitatively reflect on the process and outcome of the interventions. DISCUSSION This study seeks to prevent (further) cognitive decline and job loss due to MS by introducing tailor-made interventions at an early stage of cognitive symptoms, thereby maintaining or improving HRQoL. Qualitative analyses will be performed to allow successful implementation into clinical practice. TRIAL REGISTRATION Retrospectively registered at ClinicalTrials.gov with reference number NCT06068582 on 10 October 2023.
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Affiliation(s)
- Jip Aarts
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands.
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands.
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
| | - Shalina R D Saddal
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
- MS Center Amsterdam, Public and Occupational Health, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Judith E Bosmans
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Vincent de Groot
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Brigit A de Jong
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Martin Klein
- Medical Psychology, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Marit F L Ruitenberg
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Frederieke G Schaafsma
- MS Center Amsterdam, Public and Occupational Health, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Esther C F Schippers
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
| | - Menno M Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Sabina van der Veen
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
| | - Pauline T Waskowiak
- Medical Psychology, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Guy A M Widdershoven
- Ethics, Law & Medical Humanities, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Karin van der Hiele
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Wassenaarseweg 52, Leiden, 2333 AK, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
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10
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Waskowiak PT, de Jong BA, Uitdehaag BMJ, Saddal SRD, Aarts J, Roovers AAM, van Oirschot P, de Groot V, Schaafsma FG, van der Hiele K, Ruitenberg MFL, Schoonheim MM, Widdershoven GAM, van der Veen S, Schippers ECF, Klein M, Hulst HE. Don't be late! Timely identification of cognitive impairment in people with multiple sclerosis: a study protocol. BMC Neurol 2024; 24:26. [PMID: 38218777 PMCID: PMC10787411 DOI: 10.1186/s12883-023-03495-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 12/08/2023] [Indexed: 01/15/2024] Open
Abstract
BACKGROUND Cognitive impairment occurs in up to 65% of people with multiple sclerosis (PwMS), negatively affecting daily functioning and health-related quality of life. In general, neuropsychological testing is not part of standard MS-care due to insufficient time and trained personnel. Consequently, a baseline assessment of cognitive functioning is often lacking, hampering early identification of cognitive decline and change within a person over time. To assess cognitive functioning in PwMS in a time-efficient manner, a BICAMS-based self-explanatory digital screening tool called the Multiple Screener©, has recently been developed. The aim of the current study is to validate the Multiple Screener© in a representative sample of PwMS in the Netherlands. Additionally, we aim to investigate how cognitive functioning is related to psychological factors, and both work and societal participation. METHODS In this cross-sectional multicentre study, 750 PwMS (aged 18-67 years) are included. To obtain a representative sample, PwMS are recruited via 12 hospitals across the Netherlands. They undergo assessment with the Minimal Assessment of Cognitive Functioning in MS (MACFIMS; reference-standard) and the Multiple Screener©. Sensitivity, specificity, and predictive values for identifying (mild) cognitive impairment are determined in a subset of 300 participants. In a second step, the identified cut-off values are tested in an independent subset of at least 150 PwMS. Moreover, test-retest reliability for the Multiple Screener© is determined in 30 PwMS. Information on psychological and work-related factors is assessed with questionnaires. DISCUSSION Validating the Multiple Screener© in PwMS and investigating cognition and its determinants will further facilitate early identification and adequate monitoring of cognitive decline in PwMS.
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Affiliation(s)
- Pauline T Waskowiak
- MS Center Amsterdam, Medical Psychology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, De Boelelaan, 1118, Amsterdam, The Netherlands.
| | - Brigit A de Jong
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- MS Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Shalina R D Saddal
- MS Center Amsterdam, Public and Occupational Health, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
| | - Jip Aarts
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Aïda A M Roovers
- MS Center Amsterdam, Medical Psychology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, De Boelelaan, 1118, Amsterdam, The Netherlands
| | | | - Vincent de Groot
- MS Center Amsterdam, Rehabilitation Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Frederieke G Schaafsma
- MS Center Amsterdam, Public and Occupational Health, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Karin van der Hiele
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Marit F L Ruitenberg
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
| | - Menno M Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Guy A M Widdershoven
- Ethics, Law & Medical Humanities, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Sabina van der Veen
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
| | - Esther C F Schippers
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
| | - Martin Klein
- MS Center Amsterdam, Medical Psychology, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, De Boelelaan, 1118, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Faculty of Social Sciences, Leiden University, Leiden, The Netherlands
- Leiden Institute for Brain and Cognition, Leiden, The Netherlands
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11
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Dzewaltowski A, Pipinos II, Schieber MN, Johanning J, Casale GP, Myers S, Malcolm P. Lower limb revascularization leads to faster walking but with less efficient mechanics in claudicating patients. J Biomech 2024; 162:111880. [PMID: 38070293 PMCID: PMC11078092 DOI: 10.1016/j.jbiomech.2023.111880] [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: 04/14/2023] [Revised: 11/16/2023] [Accepted: 11/17/2023] [Indexed: 01/16/2024]
Abstract
Peripheral artery disease (PAD) is characterized by reduced blood flow to the extremities due to atherosclerosis. Studies report impaired gait mechanics in patients with lower extremity PAD. We hypothesized that revascularization surgery would improve gait mechanics when quantified by net lower limb joint work across the stance phase of walking. We performed gait analyses in 35 patients with PAD and 35 healthy, older adults. Patients with PAD performed a walking protocol prior to and six months following revascularization surgery. Healthy adults only took part in a single walking session. Lower limb joint powers were calculated using inverse dynamics and were integrated across early, middle, and late stance phases to determine the work performed during each phase (J kg-1). The work mechanical ratio between positive-producing and negative-producing phases of stance was calculated for each lower-limb joint. Self-selected walking speed significantly increased from 1.13 ± 0.2 ms-1 to 1.26 ± 0.18 ms-1 in patients following revascularization (p < 0.001). We observed a significant decrease in positive late stance work (p < 0.001) in conjunction with more negative work during early stance (p < 0.001) in patients following revascularization. Revascularization surgery led to faster walking without an increase in the ankle joint's mechanical ratio. Our results suggest faster walking was achieved via work done at the hip rather than the ankle. These findings suggest that additional therapies that facilitate the restoration of muscle, tissue, and nervous system damage caused by years of having reduced blood flow to the limbs might still be beneficial following revascularization.
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Affiliation(s)
- Alex Dzewaltowski
- Department of Biomechanics, University of Nebraska at Omaha, Omaha, Nebraska, USA; Scholl College of Podiatric Medicine, Rosalind Franklin University of Medicine & Science, North Chicago, Illinois, USA
| | - Iraklis I Pipinos
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA; Department of Surgery and Veterans Affairs Research Service, Nebraska-Western Iowa Health, Care System, Omaha, Nebraska, USA
| | - Molly N Schieber
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Jason Johanning
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA; Department of Surgery and Veterans Affairs Research Service, Nebraska-Western Iowa Health, Care System, Omaha, Nebraska, USA
| | - George P Casale
- Department of Surgery, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Sara Myers
- Department of Biomechanics, University of Nebraska at Omaha, Omaha, Nebraska, USA; Department of Surgery and Veterans Affairs Research Service, Nebraska-Western Iowa Health, Care System, Omaha, Nebraska, USA
| | - Philippe Malcolm
- Department of Biomechanics, University of Nebraska at Omaha, Omaha, Nebraska, USA.
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12
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Filippi M, Preziosa P. MRI predicts cognitive training effects in multiple sclerosis. Nat Rev Neurol 2022; 18:511-512. [PMID: 35915163 DOI: 10.1038/s41582-022-00701-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Massimo Filippi
- 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
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