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Ouyang A, Zhang C, Adra N, Tesh RA, Sun H, Lei D, Jing J, Fan P, Paixao L, Ganglberger W, Briggs L, Salinas J, Bevers MB, Wrann CD, Chemali Z, Fricchione G, Thomas RJ, Rosand J, Tanzi RE, Westover MB. Effects of Aerobic Exercise on Brain Age and Health in Middle-Aged and Older Adults: A Single-Arm Pilot Clinical Trial. Life (Basel) 2024; 14:855. [PMID: 39063609 PMCID: PMC11278044 DOI: 10.3390/life14070855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2024] [Revised: 05/26/2024] [Accepted: 06/27/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUNDS Sleep disturbances are prevalent among elderly individuals. While polysomnography (PSG) serves as the gold standard for sleep monitoring, its extensive setup and data analysis procedures impose significant costs and time constraints, thereby restricting the long-term application within the general public. Our laboratory introduced an innovative biomarker, utilizing artificial intelligence algorithms applied to PSG data to estimate brain age (BA), a metric validated in cohorts with cognitive impairments. Nevertheless, the potential of exercise, which has been a recognized means of enhancing sleep quality in middle-aged and older adults to reduce BA, remains undetermined. METHODS We conducted an exploratory study to evaluate whether 12 weeks of moderate-intensity exercise can improve cognitive function, sleep quality, and the brain age index (BAI), a biomarker computed from overnight sleep electroencephalogram (EEG), in physically inactive middle-aged and older adults. Home wearable devices were used to monitor heart rate and overnight sleep EEG over this period. The NIH Toolbox Cognition Battery, in-lab overnight polysomnography, cardiopulmonary exercise testing, and a multiplex cytokines assay were employed to compare pre- and post-exercise brain health, exercise capacity, and plasma proteins. RESULTS In total, 26 participants completed the initial assessment and exercise program, and 24 completed all procedures. Data are presented as mean [lower 95% CI of mean, upper 95% CI of mean]. Participants significantly increased maximal oxygen consumption (Pre: 21.11 [18.98, 23.23], Post 22.39 [20.09, 24.68], mL/kg/min; effect size: -0.33) and decreased resting heart rate (Pre: 66.66 [63.62, 67.38], Post: 65.13 [64.25, 66.93], bpm; effect size: -0.02) and sleeping heart rate (Pre: 64.55 [61.87, 667.23], Post: 62.93 [60.78, 65.09], bpm; effect size: -0.15). Total cognitive performance (Pre: 111.1 [107.6, 114.6], Post: 115.2 [111.9, 118.5]; effect size: 0.49) was significantly improved. No significant differences were seen in BAI or measures of sleep macro- and micro-architecture. Plasma IL-4 (Pre: 0.24 [0.18, 0.3], Post: 0.33 [0.24, 0.42], pg/mL; effect size: 0.49) was elevated, while IL-8 (Pre: 5.5 [4.45, 6.55], Post: 4.3 [3.66, 5], pg/mL; effect size: -0.57) was reduced. CONCLUSIONS Cognitive function was improved by a 12-week moderate-intensity exercise program in physically inactive middle-aged and older adults, as were aerobic fitness (VO2max) and plasma cytokine profiles. However, we found no measurable effects on sleep architecture or BAI. It remains to be seen whether a study with a larger sample size and more intensive or more prolonged exercise exposure can demonstrate a beneficial effect on sleep quality and brain age.
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Affiliation(s)
- An Ouyang
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA 02131, USA
| | - Can Zhang
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Noor Adra
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Ryan A. Tesh
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Haoqi Sun
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Dan Lei
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Jin Jing
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Peng Fan
- Department of Physical Therapy & Human Movement Science, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Luis Paixao
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Department of Neurology, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Wolfgang Ganglberger
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Logan Briggs
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Joel Salinas
- Department of Neurology, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Matthew B. Bevers
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Christiane Dorothea Wrann
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Zeina Chemali
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Gregory Fricchione
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Robert J. Thomas
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
- Department of Medicine, Division of Pulmonary, Critical Care & Sleep, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
| | - Jonathan Rosand
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Rudolph E. Tanzi
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
| | - Michael Brandon Westover
- Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA 02114, USA (C.Z.); (R.A.T.); (H.S.); (C.D.W.)
- Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, USA; (J.J.)
- Harvard Medical School, Boston, MA 02115, USA (M.B.B.); (R.J.T.)
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Manca R, Stabile MR, Bevilacqua F, Cadorin C, Piccione F, Sharrack B, Venneri A. Cognitive speed and white matter integrity in secondary progressive multiple sclerosis. Mult Scler Relat Disord 2019; 30:198-207. [DOI: 10.1016/j.msard.2019.02.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 01/23/2019] [Accepted: 02/15/2019] [Indexed: 01/28/2023]
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Karssemeijer EGA, Aaronson JA, Bossers WJR, Donders R, Olde Rikkert MGM, Kessels RPC. The quest for synergy between physical exercise and cognitive stimulation via exergaming in people with dementia: a randomized controlled trial. ALZHEIMERS RESEARCH & THERAPY 2019; 11:3. [PMID: 30611286 PMCID: PMC6320611 DOI: 10.1186/s13195-018-0454-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 11/27/2018] [Indexed: 12/19/2022]
Abstract
Background Exercise is often proposed as a non-pharmacological intervention to delay cognitive decline in people with dementia, but evidence remains inconclusive. Previous studies suggest that combining physical exercise with cognitive stimulation may be more successful in this respect. Exergaming is a promising intervention in which physical exercise is combined with cognitively challenging tasks in a single session. The aim of this study was to investigate the effect of exergame training and aerobic training on cognitive functioning in older adults with dementia. Methods A three-armed randomized controlled trial (RCT) compared exergame training, aerobic training and an active control intervention consisting of relaxation and flexibility exercises. Individuals with dementia were randomized and individually trained three times a week during 12 weeks. Cognitive functioning was measured at baseline, after the 12-week intervention period and at 24-week follow-up by neuropsychological assessment. The domains of executive function, episodic memory, working memory and psychomotor speed were evaluated. Test scores were converted into standardized z-scores that were averaged per domain. Between-group differences were analysed with analysis of covariance. Results Data from 115 people with dementia (mean (SD) age = 79.2 (6.9) years; mean (SD) MMSE score = 22.9 (3.4)) were analysed. There was a significant improvement in psychomotor speed in the aerobic and exergame groups compared to the active control group (mean difference domain score (95% CI) aerobic versus control 0.370 (0.103–0.637), p = 0.007; exergame versus control 0.326 (0.081–0.571), p = 0.009). The effect size was moderate (partial η2 = 0.102). No significant differences between the intervention and control groups were found for executive functioning, episodic memory and working memory. Conclusions To our knowledge, this is the first RCT evaluating the effects of exergame training and aerobic training on cognitive functioning in people with dementia. We found that both exergame training and aerobic training improve psychomotor speed, compared to an active control group. This finding may be clinically relevant as psychomotor speed is an important predictor for functional decline. No effects were found on executive function, episodic memory and working memory. Trial registration Netherlands Trial Register, NTR5581. Registered on 7 October 2015. Electronic supplementary material The online version of this article (10.1186/s13195-018-0454-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Esther G A Karssemeijer
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Geriatric Medicine, Nijmegen, the Netherlands.,Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, the Netherlands
| | - Justine A Aaronson
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Medical Psychology, Nijmegen, the Netherlands
| | - Willem J R Bossers
- BeweegStrateeg, Groningen, the Netherlands.,Center for Human Movement Sciences, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Rogier Donders
- Radboud University Medical Center, Department for Health Evidence, Nijmegen, the Netherlands
| | - Marcel G M Olde Rikkert
- Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Geriatric Medicine, Nijmegen, the Netherlands.,Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, the Netherlands
| | - Roy P C Kessels
- Radboud University Medical Center, Radboudumc Alzheimer Center, Nijmegen, the Netherlands. .,Radboud University Medical Center, Donders Institute for Brain Cognition and Behaviour, Department of Medical Psychology, Nijmegen, the Netherlands. .,Center for Cognition, Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands.
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Carlozzi NE, Tulsky DS, Wolf TJ, Goodnight S, Heaton RK, Casaletto KB, Wong AWK, Baum CM, Gershon RC, Heinemann AW. Construct validity of the NIH Toolbox Cognition Battery in individuals with stroke. Rehabil Psychol 2018; 62:443-454. [PMID: 29265865 DOI: 10.1037/rep0000195] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE The National Institutes of Health (NIH) Toolbox (NIHTB) for the Assessment of Behavior and Neurological Function Cognition Battery (NIHTB-CB) provides a brief assessment (approximately 30 min) of key components of cognition. This article examines construct validity to support the clinical utility of the NIHTB-CB in individuals with stroke. RESEARCH METHOD A total of 131 individuals with stroke (n = 71 mild stroke; n = 60 moderate/severe stroke) completed the NIHTB-CB. Univariate analyses were conducted to examine the cognitive profiles of the two different stroke groups (mild vs. moderate/severe stroke) on NIHTB-CB measures and composite scores. Pearson correlations were conducted between NIHTB-CB and established measures to examine convergent and discriminant validity. Effect sizes and clinical impairment rates for the different NIHTB-CB measures and composite scores were also examined. RESULTS Participants experiencing moderate to severe stroke had poorer performance than did individuals with mild stroke on several of the NIHTB cognition measures. Evidence of convergent validity was provided by moderate to strong correlations between the NIHTB measures and the corresponding standard neuropsychological test (Pearson rs ranged from 0.31 to 0.88; median = .60). Evidence of discriminant validity was provided by smaller correlations between different cognitive domains than correlations of measures within the same domain. Effect sizes for composite and subtest scores regarding stroke severity were generally moderate-to-large. In addition, 42% of the sample were exhibiting mild cognitive impairment (i.e., ≥2 low scores on fluid tests). CONCLUSIONS Findings provide support for the construct validity of the NIHTB-CB in individuals with stroke. (PsycINFO Database Record
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, University of Michigan
| | - David S Tulsky
- Center for Health Assessment Research and Translation, University of Delaware
| | - Timothy J Wolf
- Occupational Therapy and Department of Neurology, Washington University
| | - Siera Goodnight
- Department of Physical Medicine and Rehabilitation, University of Michigan
| | - Robert K Heaton
- Department of Psychiatry, University of California, San Diego
| | | | - Alex W K Wong
- Occupational Therapy and Department of Neurology, Washington University
| | - Carolyn M Baum
- Occupational Therapy and Department of Neurology, Washington University
| | | | - Allen W Heinemann
- Center for Rehabilitation Outcomes Research, Shirley Ryan AbilityLab
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Carlozzi NE, Goodnight S, Umlauf A, Heaton RK, Heinemann AW, Schalet BD, Gershon RC, Tulsky DS. Motor-free composites from the National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) for people with disabilities. Rehabil Psychol 2018; 62:464-473. [PMID: 29265867 DOI: 10.1037/rep0000185] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
PURPOSE/OBJECTIVE The National Institutes of Health Toolbox Cognition Battery (NIHTB-CB) includes a group of brief measures (i.e., 30 min) designed to assess language, processing speed, working memory, episodic memory, and executive functioning. These subtests can be combined to create composite scores that reflect fluid and crystallized cognition, as well as overall cognition. The battery is of limited utility with individuals who have impaired upper extremity motor functioning. This manuscript examines the accuracy of the Oral Symbol Digit Modalities Test as a substitute for the Pattern Comparison Processing Speed Test for computing motor-free composite scores. Research Method/Design: Individuals with spinal cord injury (SCI; n = 188), traumatic brain injury (TBI; n = 159), or stroke (n = 180) completed the NIHTB-CB. We used the Oral Symbol Digit Modalities Test to create a Motor-Free Pattern Comparison score; this was used to create revised, Motor-Free Composite scores for Fluid Cognition and Overall Cognition. RESULTS Although there were statistically significant overall differences between the two Fluid and Overall Cognition composite scores for some of the clinical groups (scores based on the motor-free approach were significantly higher than the original score), these differences were small and partly because of overclassification of impaired processing speed in participants with motor impairment. There was good to substantial agreement with regard to "impairment" classification between the two sets of Original and Motor-Free composite scores. CONCLUSIONS/IMPLICATIONS Although the Motor-Free scores are not a perfect match for the Original Composite scores, they provide a reliable and valid way to examine overall and fluid cognition in individuals with upper extremity motor impairments. (PsycINFO Database Record
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, University of Michigan
| | - Siera Goodnight
- Department of Physical Medicine and Rehabilitation, University of Michigan
| | - Anya Umlauf
- Department of Psychiatry, University of California San Diego
| | - Robert K Heaton
- Department of Psychiatry, University of California San Diego
| | | | - Benjamin D Schalet
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | - Richard C Gershon
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University
| | - David S Tulsky
- Center for Health Assessment Research and Translation, University of Delaware
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Costa SL, Genova HM, DeLuca J, Chiaravalloti ND. Information processing speed in multiple sclerosis: Past, present, and future. Mult Scler 2016; 23:772-789. [PMID: 27207446 DOI: 10.1177/1352458516645869] [Citation(s) in RCA: 120] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Information processing speed (IPS) is a prevalent cognitive impairment in multiple sclerosis (MS). OBJECTIVES This review aims to summarize the methods applied to assess IPS in MS and its theoretical conceptualization. A PubMed search was performed to select articles published between 1 January 2004 and 31 December 2013, resulting in 157 articles included. RESULTS The majority (54%) of studies assessed IPS with heterogeneous samples (several disease courses). Studies often report controlling for presence of other neurological disorders (60.5%), age (58.6%), education (51.6%), alcohol history (47.8%), or use of steroids (39.5%). Potential confounding variables, such as recent relapses (50.3%), history of developmental disorders (19.1%), and visual problems (29.9%), were often neglected. Assessments used to study IPS were heterogeneous (ranging from simple to complex tasks) among the studies under review, with 62 different tasks used. Only 9.6% of articles defined the construct of IPS and 22.3% discussed IPS in relation to a theoretical model. FUTURE DIRECTIONS The challenges for the upcoming decade include clarification of the definition of IPS as well as its theoretical conceptualization and a consensus on assessment. Based on the results obtained, we propose a new theoretical model, the tri-factor model of IPS.
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Affiliation(s)
- Silvana L Costa
- Neuropsychology & Neuroscience Laboratory, Kessler Foundation, West Orange, NJ, USA/Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Helen M Genova
- Neuropsychology & Neuroscience Laboratory, Kessler Foundation, West Orange, NJ, USA/Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - John DeLuca
- Neuropsychology & Neuroscience Laboratory, Kessler Foundation, West Orange, NJ, USA/Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA/Department of Neurology, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Nancy D Chiaravalloti
- Neuropsychology & Neuroscience Laboratory, Kessler Foundation, West Orange, NJ, USA/Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, USA
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Carlozzi NE, Beaumont JL, Tulsky DS, Gershon RC. The NIH Toolbox Pattern Comparison Processing Speed Test: Normative Data. Arch Clin Neuropsychol 2015; 30:359-68. [PMID: 26025230 DOI: 10.1093/arclin/acv031] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/29/2015] [Indexed: 11/12/2022] Open
Abstract
The NIH Toolbox Pattern Comparison Processing Speed Test was developed to assess processing speed. While initial validation work provides preliminary support for this test in both children and adults, more work is needed to ensure dependability and generalizability. Thus, this replication study examines descriptive data (including age effects), test-retest reliability, and construct validity in n = 4,859 participants ages 3-85 years (matched to 2010 census data). Although the Pattern Comparison was not appropriate for all 3 and 4 years old, by ages 5 and 6, more meaningful scores were apparent. There was evidence for convergent and discriminant validity. There was also a moderate practice effect (i.e., increase of 5.5 points) over a 1-week time frame. Pattern Comparison exhibits a number of strengths: it is appropriate for use across the lifespan (ages 5-85), it is short and easy to administer, and there is support for construct validity.
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Affiliation(s)
- Noelle E Carlozzi
- Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer L Beaumont
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - David S Tulsky
- Department of Physical Therapy, University of Delaware of Health Sciences, Newark, DE, USA Spinal Cord Injury Laboratory, Neuropsychology and Neuroscience Laboratory, Kessler Foundation, NJ, USA
| | - Richard C Gershon
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
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Walker LAS, Cheng A, Berard J, Berrigan LI, Rees LM, Freedman MS. Tests of information processing speed: what do people with multiple sclerosis think about them? Int J MS Care 2014; 14:92-9. [PMID: 24453739 DOI: 10.7224/1537-2073-14.2.92] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Reduction in information processing speed (IPS) is a key deficit in multiple sclerosis (MS). The Paced Auditory Serial Addition Test (PASAT), Symbol Digit Modalities Test (SDMT), and Computerized Test of Information Processing (CTIP) are used to measure IPS. Both the PASAT and SDMT are sensitive to deficits in IPS. The CTIP, a newer task, also shows promise. The PASAT has several limitations, and it is often perceived negatively by patients. Yet little supporting quantitative evidence of such perceptions has been presented. Therefore, in this study, subjective ratings of likeability, difficulty, and appropriateness of the PASAT, CTIP, and SDMT were obtained. Ratings were compared between MS patients and healthy controls. It was hypothesized that ratings of the PASAT would differ significantly from those of the SDMT and CTIP. The relationship between subjective ratings and objective performance was evaluated. Sixty-nine MS patients and 68 matched controls rated the three tests in terms of likeability, difficulty, and appropriateness for capturing cognitive deficits often associated with MS using a Likert scale. Both groups rated the PASAT as most difficult and least likeable. The MS group rated the PASAT and SDMT as more appropriate for measuring MS-related deficits than the CTIP. Subjects who performed better on the PASAT were more likely to rate it as easier. Ratings of the SDMT and CTIP did not vary consistently with performance. The findings lend quantitative support to the common belief that the PASAT is perceived as unpleasant. Other tests are available that are similarly sensitive to deficits in IPS and more palatable to the patient.
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Affiliation(s)
- Lisa A S Walker
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
| | - Amy Cheng
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
| | - Jason Berard
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
| | - Lindsay I Berrigan
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
| | - Laura M Rees
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
| | - Mark S Freedman
- Neuropsychology Service, The Ottawa Hospital, Ottawa, Ontario, Canada (LASW, LMR); The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (LASW, LIB, LMR, MSF); Division of Neurology, Faculty of Medicine (LASW, MSF), and School of Psychology, University of Ottawa, Ottawa, Ontario, Canada (LASW, AC, JB, LMR); and Department of Psychology, Carleton University, Ottawa, Ontario, Canada (LIB, LMR)
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Walker LA, Cheng A, Berard J, Berrigan LI, Rees LM, Freedman MS. Tests of Information Processing Speed. Int J MS Care 2013. [DOI: 10.7224/1537-2073-15.s1.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Ryan JJ, Gontkovsky ST, Kreiner DS, Tree HA. Wechsler Adult Intelligence Scale–Fourth Edition performance in relapsing–remitting multiple sclerosis. J Clin Exp Neuropsychol 2012; 34:571-9. [DOI: 10.1080/13803395.2012.666229] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Drew MA, Starkey NJ, Isler RB. Examining the link between information processing speed and executive functioning in multiple sclerosis. Arch Clin Neuropsychol 2009; 24:47-58. [PMID: 19395356 DOI: 10.1093/arclin/acp007] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Slowed information processing speed (IPS) is frequently reported in those with multiple sclerosis (MS), and at least 20% are compromised on some aspect of executive functioning also. However, any relationship between these two processes has not been examined. The Sternberg Memory Scanning Test, Processing Speed Index (WAIS-III), Delis Kaplan Executive Function System (D.KEFS), and Working Memory Index (WMS-III) were administered to 90 participants with MS. Their performance on the PSI was significantly below the normative scores but no deficits in memory scanning speed were evident. The initial response speed of the Sternberg and the PSI were more closely related to D.KEFS performance, particularly in timed tasks with a high cognitive demand (switching tasks). In contrast, memory scanning speed was related to working memory. This study reinforces the link between IPS and working memory in MS, and supports the suggestion that IPS is not a unitary construct.
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Affiliation(s)
- Margaret A Drew
- Department of Psychology, University of Waikato, Hamilton, New Zealand
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