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Gromisch ES, Turner AP, Neto LO, Haselkorn JK, Raskin SA. Improving prospective memory in persons with multiple sclerosis via telehealth: A randomized feasibility study. Mult Scler Relat Disord 2024; 88:105718. [PMID: 38878624 DOI: 10.1016/j.msard.2024.105718] [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: 01/03/2024] [Revised: 05/22/2024] [Accepted: 06/08/2024] [Indexed: 07/29/2024]
Abstract
BACKGROUND Persons with multiple sclerosis (PwMS) can experience deficits in prospective memory (PM) or "remembering to remember," which are associated with functional difficulties. However, no cognitive rehabilitation intervention has specifically addressed improving PM in PwMS. The Telehealth PM Intervention (TPMI) provides a novel combination of two strategies-visual imagery and implementation intentions-that have each been beneficial in other populations. This study aimed to evaluate the feasibility of TPMI and its preliminary efficacy, which could be used to inform future trials. METHODS Participants (n = 35) were PwMS who were pre-screened and endorsed experiencing problems "remembering places they have to be" and "things they have to do." After completing a baseline evaluation, which included objective (Memory for Intentions Test; MIST) and subjective (Perceived Deficits Questionnaire; PDQ-PM) measures of PM, participants were randomized to either the active treatment (TPMI; n = 17) or active control group (Control; n = 18). TPMI was offered through remote one-on-one sessions twice a week over a four-week period. Participants were asked about treatment credibility and expectancy during the first session. The MIST and PDQ-PM were repeated at post-treatment, where treatment satisfaction was also captured. Mann-Whitney U and chi-square tests were used to examine the feasibility measures, while repeated measures ANOVAs were used to examine changes in the PM outcomes. RESULTS A total of 88.2 % of the TPMI group completed all eight sessions, with moderate-to-high (≥7 out of 10) treatment credibility/expectancy and satisfaction reported by 93.3 % and 86.7 %, respectively. While there were no significant effects on overall PM, the TPMI group had an improvement in objective time-based PM after adjusting for baseline differences (F(1,29) = 4.61, p = 0.040; d = 0.80). Furthermore, the TPMI group had a significant reduction in the number of time-based loss of content errors compared to the Control group, which remained significant after covariate adjustment (F(1,25) = 4.29, p = 0.049; d = 0.83). CONCLUSIONS TPMI is a feasible intervention, with high completion rates and moderate-to-high treatment ratings, that can be delivered remotely. Early evidence shows its potential benefit for improving time-based PM, a particular concern for PwMS, which should be further evaluated in a larger clinical trial.
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Affiliation(s)
- Elizabeth S Gromisch
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA; Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Medical Sciences, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA; Department of Neurology, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT, 06030, USA.
| | - Aaron P Turner
- Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, Seattle, WA, 98104, USA; Multiple Sclerosis Center of Excellence West, Veterans Affairs, 1660 South Columbian Way, Seattle, WA, 98108, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 South Columbian Way, Seattle, WA, 98108, USA
| | - Lindsay O Neto
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, 490 Blue Hills Avenue, Hartford, CT, 06112, USA; Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, 370 Bassett Road, North Haven, CT 06473, USA
| | - Jodie K Haselkorn
- Department of Rehabilitation Medicine, University of Washington, 325 Ninth Avenue, Seattle, WA, 98104, USA; Multiple Sclerosis Center of Excellence West, Veterans Affairs, 1660 South Columbian Way, Seattle, WA, 98108, USA; Rehabilitation Care Service, VA Puget Sound Health Care System, 1660 South Columbian Way, Seattle, WA, 98108, USA; Department of Epidemiology, University of Washington, 325 Ninth Avenue, Seattle, WA, 98104, USA
| | - Sarah A Raskin
- Neuroscience Program, Trinity College, 300 Summit Street, Hartford, CT, 06106, USA; Department of Psychology, Trinity College, 300 Summit Street, Hartford, CT, 06106, USA
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Weinstock ZL, Jaworski M, Dwyer MG, Jakimovski D, Burnham A, Wicks TR, Youngs M, Santivasci C, Cruz S, Gillies J, Covey TJ, Suchan C, Bergsland N, Weinstock-Guttman B, Zivadinov R, Benedict RH. Auditory Test of Processing Speed: Preliminary validation of a smartphone-based test of mental speed. Mult Scler 2023; 29:1646-1658. [PMID: 37842763 DOI: 10.1177/13524585231199311] [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: 10/17/2023]
Abstract
BACKGROUND The Symbol Digit Modalities Test (SDMT) is a gold-standard measure of cognitive efficiency and processing speed for people with multiple sclerosis (PwMS) but relies on vision and oculomotor function. OBJECTIVES To develop and validate a new processing speed test with minimal memory involvement and no eye function requirements. METHODS We created an Auditory Test of Processing Speed (ATOPS). A total of 122 PwMS, of whom 33 were severely disabled (median Expanded Disability Status Scale 8.0) and 37 healthy volunteers (HVs), were enrolled. We assessed sensitivity to discriminate MS participants from HVs, convergent validity between ATOPS and SDMT, sensitivity to discriminate between cognitively impaired (CI) and cognitively preserved (CP) MS participants, and correlations with MS pathology (overall brain lesion burden). Acceptability was examined with completion rates and participant ratings of ATOPS. RESULTS ATOPS discriminated PwMS from HVs (d = 0.739-0.856), correlated with SDMT (|r| = 0.528-0.587), discriminated between CI and CP PwMS (d = 0.623-0.776), and correlated with lesion burden (r = 0.332-0.436). All groups indicated high favorability of ATOPS and severely disabled MS patients could be assessed by ATOPS more frequently than by SDMT (100% vs. 72.4% completion). CONCLUSIONS ATOPS is a novel, accessible, and acceptable cognitive processing speed test that may be useful in clinical and/or research settings.
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Affiliation(s)
- Zachary L Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Michael Jaworski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | | | - Taylor R Wicks
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Margaret Youngs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Celeste Santivasci
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Sara Cruz
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - John Gillies
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Thomas J Covey
- Division of Cognitive and Behavioral Neurosciences, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Christopher Suchan
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo-The State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo-The State University of New York, Buffalo, NY, USA
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Capturing cognitive changes in multiple sclerosis by performance-based functional and virtual reality assessments. Ann Phys Rehabil Med 2022; 66:101677. [PMID: 35667625 DOI: 10.1016/j.rehab.2022.101677] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 04/25/2022] [Accepted: 05/07/2022] [Indexed: 12/03/2022]
Abstract
Cognitive impairment (CI) has been recognized as one of the core multiple sclerosis (MS) symptoms that profoundly impact lives of people with MS (PwMS). Clinical trials have begun to focus on cognition as a primary or secondary outcome, but translating improvements in cognitive testing scores to functioning in the real world is difficult. Performance-based functional assessments and virtual reality (VR) assessments, which incorporate real-world challenges, have been proposed as a way to better assess functional cognition (i.e., cognitive performance and its impact on real-life cognitive functioning of PwMS) and could address the difficulty in evaluating the impact of a treatment on real-world functioning. In this narrative review, we identify and summarize some of the promising recent research applications of performance-based functional assessments and VR tools to assess functional cognition in MS. Overall, most of the studies suggest that functional and VR assessments can detect cognitive differences between people with and without MS and between PwMS with and without CI. Furthermore, performance on some of the functional and VR assessments was associated with performance on standard cognitive assessments. However, developing any guidelines on how to implement these assessments in clinical practice is difficult because of the relatively small sample size across these studies. Performance-based functional and VR assessments represent an innovative approach to increasing sensitivity of how cognitive impairments/abilities present in the daily life of PwMS. More studies, with a larger sample size, robust research methods, and pre- and post-treatment assessments, are warranted to validate relevant, accessible functional and VR assessments before implementing these assessment approaches in clinical practice.
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Eilam-Stock T, Shaw MT, Krupp LB, Charvet LE. Early neuropsychological markers of cognitive involvement in multiple sclerosis. J Neurol Sci 2021; 423:117349. [PMID: 33639421 DOI: 10.1016/j.jns.2021.117349] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 01/05/2021] [Accepted: 02/08/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Cognitive impairment due to multiple sclerosis (MS) is common and often limits occupational functioning, contributes to disability, and reduces quality of life. Early detection of cognitive involvement in MS is critical for treatment planning and intervention, and frequent, regular cognitive monitoring may provide insight into subtle changes in disease progression. OBJECTIVE To compare the sensitivity and specificity of clinical, computer-based and experimental measures to early cognitive involvement in MS. METHODS Cognitive functioning was compared in MS participants early in the disease course to matched healthy controls using conventional, computer-based and functional assessments: the Brief International Cognitive Assessment in MS (BICAMS); the computer-based Cogstate Brief Battery (CBB); the Attention Network Test-Interaction (ANT-I), including intra-individual variability; and the Test of Everyday Cognitive Ability (TECA), a functional measure of instrumental activities of daily living. RESULTS MS participants (n = 25, mean disease duration= 5.82 ± 3.65 years) and demographically matched healthy controls (n = 29) completed the cognitive assessments. The Cogstate measure of choice reaction time (AUC = 0.73, p = .004), intra-individual variability on the ANT-I (AUC = 0.79, p = .001), and TECA (AUC = 0.78, p = .001) scores were the most sensitive and specific markers of cognitive involvement in MS. CONCLUSIONS Brief, repeatable, computer-based measures of reaction time and variability detect early MS associated cognitive involvement.
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Affiliation(s)
- Tehila Eilam-Stock
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Michael T Shaw
- Departmernt of Psychology, Binghamton University, Binghamton, NY, United States
| | - Lauren B Krupp
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Leigh E Charvet
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States.
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Eilam-Stock T, Best P, Sherman K, Shaw MT, Ventura J, Krupp LB, Charvet LE. An Interview-Based Assessment of the Experience of Cognitive Impairment in Multiple Sclerosis: The Cognitive Assessment Interview (CAI). Front Neurol 2021; 12:637895. [PMID: 33643211 PMCID: PMC7905222 DOI: 10.3389/fneur.2021.637895] [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: 12/04/2020] [Accepted: 01/06/2021] [Indexed: 11/25/2022] Open
Abstract
Background: Cognitive impairment is a common feature of multiple sclerosis (MS). A semi-structured interview, including informant input, can characterize the experience of individuals living with MS and cognitive involvement. Objective: We administered the Cognitive Assessment Interview (CAI), a patient- and informant-based semi-structured interview, to characterize the experience of cognitive impairments in those living with MS. Methods: Trained raters administered the CAI to a sample of MS participants and their informants enrolled for a trial of cognitive remediation. Cognitive impairments on the CAI were characterized and compared to those captured by neuropsychological and self-report measures. Results: A total of n = 109 MS participants (mean age = 50.3 ± 12.2) and their available informants (n = 71) were interviewed. Participants reported experiencing processing speed (90/106, 85%), working memory (87/109, 80%), and learning and memory (79/109, 72%) problems most commonly. CAI-based ratings were moderately correlated with a self-report measure (Multiple Sclerosis Neuropsychological Screening Questionnaire, rs = 0.52, p < 0.001) and only mildly correlated with objective neuropsychological measures specific to executive functions (rs = 0.21, p = 0.029). For those with informant interviews, ratings were overall consistent, suggesting that the CAI is valid even in cases in which an informant is unavailable and the interview is conducted with the patient alone (as is often the case in clinical and research settings). Conclusions: The CAI provides a semi-structured interview to characterize the experience of cognitive impairment in MS, with findings representing real-world functioning, adding valuable information to both self-report measures and neuropsychological assessment.
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Affiliation(s)
- Tehila Eilam-Stock
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Pamela Best
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Kathleen Sherman
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Michael T Shaw
- Department of Psychology, Binghamton University, Binghamton, NY, United States
| | - Joseph Ventura
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
| | - Lauren B Krupp
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
| | - Leigh E Charvet
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, United States
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