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Wade BSC, Tate DF, Kennedy E, Bigler ED, York GE, Taylor BA, Troyanskaya M, Hovenden ES, Goodrich-Hunsaker N, Newsome MR, Dennis EL, Abildskov T, Pugh MJ, Walker WC, Kenney K, Betts A, Shih R, Welsh RC, Wilde EA. Microstructural Organization of Distributed White Matter Associated With Fine Motor Control in US Service Members With Mild Traumatic Brain Injury. J Neurotrauma 2024; 41:32-40. [PMID: 37694678 DOI: 10.1089/neu.2022.0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023] Open
Abstract
Mild traumatic brain injury (mTBI) is the most common form of brain injury. While most individuals recover from mTBI, roughly 20% experience persistent symptoms, potentially including reduced fine motor control. We investigate relationships between regional white matter organization and subcortical volumes associated with performance on the Grooved Pegboard (GPB) test in a large cohort of military Service Members and Veterans (SM&Vs) with and without a history of mTBI(s). Participants were enrolled in the Long-term Impact of Military-relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium. SM&Vs with a history of mTBI(s) (n = 847) and without mTBI (n = 190) underwent magnetic resonance imaging and the GPB test. We first examined between-group differences in GPB completion time. We then investigated associations between GPB performance and regional structural imaging measures (tractwise diffusivity, subcortical volumes, and cortical thickness) in SM&Vs with a history of mTBI(s). Lastly, we explored whether mTBI history moderated associations between imaging measures and GPB performance. SM&Vs with mTBI(s) performed worse than those without mTBI(s) on the non-dominant hand GPB test at a trend level (p < 0.1). Higher fractional anisotropy (FA) of tracts including the posterior corona radiata, superior longitudinal fasciculus, and uncinate fasciculus were associated with better GPB performance in the dominant hand in SM&Vs with mTBI(s). These findings support that the organization of several white matter bundles are associated with fine motor performance in SM&Vs. We did not observe that mTBI history moderated associations between regional FA and GPB test completion time, suggesting that chronic mTBI may not significantly influence fine motor control.
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Affiliation(s)
- Benjamin S C Wade
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, University of California, Los Angeles, Los Angeles, California, USA
| | - David F Tate
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Eamonn Kennedy
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Erin D Bigler
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- Department of Psychology, Brigham Young University, Provo, Utah, USA
| | | | - Brian A Taylor
- Department of Imaging Physics, the University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA
| | - Maya Troyanskaya
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
- Michael E. Debakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Elizabeth S Hovenden
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Naomi Goodrich-Hunsaker
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Mary R Newsome
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
- Michael E. Debakey Veterans Affairs Medical Center, Houston, Texas, USA
| | - Emily L Dennis
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah, USA
| | - Tracy Abildskov
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
| | - Mary Jo Pugh
- Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA
- Decision-Enhancement and Analytic Sciences Center, Department of Informatics, VA Salt Lake City Health Care System, Salt Lake City, Utah, USA
| | - William C Walker
- Physical Medicine & Rehabilitation, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Kimbra Kenney
- National Intrepid Center of Excellence, Walter Reed National Military Medical Center, Bethesda, Maryland, USA
- Center for Neuroscience and Regenerative Medicine, Department of Neurology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA
| | - Aaron Betts
- San Antonio Military Medical Center, San Antonio, Texas, USA
| | - Robert Shih
- American Institute for Radiologic Pathology, Silver Spring, Maryland, USA
| | - Robert C Welsh
- Department of Psychiatry, University of Utah, Salt Lake City, Utah, USA
| | - Elisabeth A Wilde
- TBI and Concussion Center, Department of Neurology, University of Utah, Salt Lake City, Utah, USA
- George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, Utah, USA
- H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas, USA
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Schubert CR, Pinto AA, Paulsen AJ, Chappell RJ, Chen Y, Engelman CD, Ferrucci L, Hancock LM, Johnson SC, Merten N. Midlife sensory and motor functions improve long-term predictions of cognitive decline and incidence of cognitive impairment. Alzheimers Dement (Amst) 2024; 16:e12543. [PMID: 38288267 PMCID: PMC10823154 DOI: 10.1002/dad2.12543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Revised: 12/29/2023] [Accepted: 01/04/2024] [Indexed: 01/31/2024]
Abstract
INTRODUCTION We aimed to assess whether midlife sensory and motor functions improve risk prediction of 10-year cognitive decline and impairment when added to risk prediction models using the Cardiovascular Risk Factors, Aging, and Incidence of Dementia Score (CAIDE) and Framingham Risk Score (FRS). METHODS Longitudinal data of N = 1529 (mean age 49 years; 54% women) Beaver Dam Offspring Study (BOSS) participants from baseline, 5 and 10-year follow-up were included. We tested whether including baseline sensory (hearing, vision, olfactory) impairment and motor function improves CAIDE or FRS risk predictions of 10-year cognitive decline or cognitive impairment incidence using logistic regressions. RESULTS Adding sensory and motor measures to CAIDE-only and FRS-only models significantly improved areas under the curve for cognitive decline and impairment models. DISCUSSION Including midlife sensory and motor function improved risk predictions of long-term cognitive decline and impairment in middle-aged to older adults. Sensory and motor assessments could contribute to cost-effective and non-invasive screening tools that identify high-risk individuals earlier to target intervention and prevention strategies. Highlights Sensory and motor measures improve risk prediction models of cognitive decline.Sensory and motor measures improve risk prediction models of cognitive impairment.Prediction improvements were strongest in midlife (adults < 55 years of age).Sensory and motor changes may help identify high-risk individuals early.
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Affiliation(s)
- Carla R. Schubert
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - A. Alex Pinto
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Adam J. Paulsen
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Richard J. Chappell
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of StatisticsSchool of Computer, Data & Information SciencesUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Yanjun Chen
- Department of Ophthalmology and Visual SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Corinne D. Engelman
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Luigi Ferrucci
- Longitudinal Study Section, Intramural Research ProgramNational Institute on Aging, NIHGaithersburgMarylandUSA
| | - Laura M. Hancock
- Neurological InstituteSection of NeuropsychologyCleveland ClinicClevelandOhioUSA
| | - Sterling C. Johnson
- Division of Geriatrics and GerontologyDepartment of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Natascha Merten
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Division of Geriatrics and GerontologyDepartment of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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Paulsen AJ, Pinto AA, Schubert CR, Chappell RJ, Chen Y, Engelman CD, Ferrucci L, Hancock LM, Johnson SC, Merten N. Midlife sensory and motor functions improve prediction of blood-based measures of neurodegeneration and Alzheimer's disease in late middle-age. Alzheimers Dement (Amst) 2024; 16:e12564. [PMID: 38476637 PMCID: PMC10927920 DOI: 10.1002/dad2.12564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Revised: 01/29/2024] [Accepted: 02/03/2024] [Indexed: 03/14/2024]
Abstract
INTRODUCTION We assessed whether midlife sensory and motor functions added to prediction models using the Cardiovascular Risk Factors, Aging, and Incidence of Dementia Score (CAIDE) and Framingham Risk Score (FRS) improve risk predictions of 10-year changes in biomarkers of neurodegeneration and Alzheimer's disease. METHODS Longitudinal data of N = 1529 (mean age 49years) Beaver Dam Offspring Study participants from baseline, 5-year, and 10-year follow-up were included. We tested whether including baseline sensory (hearing, vision, olfactory) impairment and motor function measures improves CAIDE or FRS risk predictions of 10-year incidence of biomarker positivity of serum-based neurofilament light chain (NfL) and amyloid beta (Aβ)42/Aβ40 using logistic regression. RESULTS Adding sensory and motor measures to CAIDE-only and FRS-only models significantly improved NfL and Aβ42/Aβ40 positivity predictions in adults above the age of 55. DISCUSSION Including midlife sensory and motor function improved long-term biomarker positivity predictions. Non-invasive sensory and motor assessments could contribute to cost-effective screening tools that identify individuals at risk for neurodegeneration early to target interventions and preventions. Highlights Sensory and motor measures improve risk prediction models of neurodegenerative biomarkersSensory and motor measures improve risk prediction models of AD biomarkersPrediction improvements were strongest in late midlife (adults >55 years of age)Sensory and motor assessments may help identify high-risk individuals early.
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Affiliation(s)
- Adam J. Paulsen
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - A. Alex Pinto
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Carla R. Schubert
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Richard J. Chappell
- Department of Biostatistics and Medical InformaticsSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Department of StatisticsSchool of ComputerData & Information SciencesUniversity of Wisconsin ‐ MadisonMadisonWisconsinUSA
| | - Yanjun Chen
- Department of Ophthalmology and Visual SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Corinne D. Engelman
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Luigi Ferrucci
- Longitudinal Study Section, Intramural Research ProgramNational Institute on Aging, NIHGaithersburgMarylandUSA
| | - Laura M. Hancock
- Neurological InstituteSection of NeuropsychologyCleveland ClinicClevelandOhioUSA
| | - Sterling C. Johnson
- Division of Geriatrics and GerontologyDepartment of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
| | - Natascha Merten
- Department of Population Health SciencesSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Division of Geriatrics and GerontologyDepartment of MedicineSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
- Wisconsin Alzheimer's Disease Research CenterSchool of Medicine and Public HealthUniversity of Wisconsin‐MadisonMadisonWisconsinUSA
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De Maio M, Castellani L, Cugusi L, Cortis C, Fusco A. The Effect of a Combined Exercise Program on Postural Control and Fine Motor Skills in Parkinson's Disease: Study Design. Int J Environ Res Public Health 2022; 19:15216. [PMID: 36429935 PMCID: PMC9691118 DOI: 10.3390/ijerph192215216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/11/2022] [Accepted: 11/17/2022] [Indexed: 06/16/2023]
Abstract
Parkinson's disease (PD) is a progressive and neurodegenerative disorder defined by physical symptoms such as hand disability and postural instability. To counteract the detrimental effects of PD, physical activity programs showed improvements in overall aspects of physical functioning. Therefore, this protocol will aim to evaluate the effect a of postural and fine motor skills training program in older adults with PD. PD individuals, with mild to moderate stage PD, aged between 65 to 80 years, will be voluntary selected from the Nursing Home Residences and Rehabilitation Centers. Subsequently, they will be randomly assigned to intervention group (PD) to receive a combined training program (postural control and fine motor skills exercises) or to the Control group (CON) to receive a stretching program. Before (PRE) and after (POST) a 12-week program both groups will perform wobble board (WB) and grooved pegboard (GPT) tests. Different performances between groups will be expected: (1) no significant differences between PD and CON group for WB and GPT test values before the beginning of the training intervention (PRE); (2) significantly better WB and GPT test values in PD subjects after the training intervention (POST) when compared to the base values (PRE); and (3) no significant differences in WB and GPT test values in CON subjects after the training intervention (POST) when compared to the base values (PRE). The findings of the present study protocol could be used for future studies investigating clinical populations, such as PD, and the effects of different rehabilitative interventions aiming to improve postural control and fine motor skills performances assessed by WB and GPT tests.
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Affiliation(s)
- Marianna De Maio
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, Viale dell’Università, 03043 Cassino, Italy
| | - Loriana Castellani
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, Viale dell’Università, 03043 Cassino, Italy
| | - Lucia Cugusi
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, 07100 Sassari, Italy
| | - Cristina Cortis
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, Viale dell’Università, 03043 Cassino, Italy
| | - Andrea Fusco
- Department of Human Sciences, Society and Health, University of Cassino and Lazio Meridionale, Viale dell’Università, 03043 Cassino, Italy
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Albuquerque MR, Malloy-Diniz LF, Romano-Silva MA, de Paula JJ, de Castro Neves M, Lage GM. Can Eye Fixation During the Grooved Pegboard Test Distinguish Between Planning and Online Correction? Percept Mot Skills 2016; 124:380-392. [PMID: 28361648 DOI: 10.1177/0031512516685000] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The Grooved Pegboard Test, in its standard use, has well-documented utility. However, a revised methodology needs further study, leading us to investigate whether duration of eye fixation could predict performance on different task conditions of the Grooved Pegboard Test (place and remove pegs) with the preferred and nonpreferred hands. Fifty-two right-handed undergraduate students (33 male and 19 female), with a mean age of 22.22 (±3.57) years, performed the Grooved Pegboard Test. SensoMotoric eye-tracking glasses with a binocular time resolution of 30 Hz were used to measure eye fixation. The videos were recorded in iView software, and data were analyzed using BeGaze software. The number and duration of eye fixations were statistically different with preferred and nonpreferred hands and also differed across tasks. Simple linear regression showed eye fixation duration to predict movement time in the place task (preferred hand: R2 = 31%; nonpreferred hand: R2 = 41%) and in the remove task (preferred hand: R2 = 11%; nonpreferred hand: R2 = 25%). Thus, duration of eye fixation during the Grooved Pegboard Test differentially predicted performance with each hand and on preferred and different subtests of this instrument.
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Affiliation(s)
- Maicon R Albuquerque
- 1 Instituto Nacional de Ciência e Tecnologia de Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Leandro F Malloy-Diniz
- 1 Instituto Nacional de Ciência e Tecnologia de Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Marco A Romano-Silva
- 1 Instituto Nacional de Ciência e Tecnologia de Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Jonas J de Paula
- 1 Instituto Nacional de Ciência e Tecnologia de Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | | | - Guilherme M Lage
- 1 Instituto Nacional de Ciência e Tecnologia de Medicina Molecular, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
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Almuklass AM, Price RC, Gould JR, Enoka RM. Force steadiness as a predictor of time to complete a pegboard test of dexterity in young men and women. J Appl Physiol (1985) 2016; 120:1410-7. [PMID: 27103655 DOI: 10.1152/japplphysiol.01051.2015] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 04/18/2016] [Indexed: 11/22/2022] Open
Abstract
The purpose of the study was to evaluate the capacity of an expanded set of force steadiness tasks to explain the variance in the time it takes young men and women to complete the grooved pegboard test. In a single experimental session, 30 participants (mean ± SD) (24.2 ± 4.0 yr; 15 women) performed the grooved pegboard test, two tests of hand speed, measurements of muscle strength, and a set of submaximal, steady contractions. The steadiness tasks involved single and double actions requiring isometric contractions in the directions of wrist extension, a pinch between the index finger and thumb, and index finger abduction. Time to complete the grooved pegboard test ranged from 41.5 to 67.5 s. The pegboard times (53.9 ± 6.2 s) were not correlated with any of the strength measurements or the reaction time test of hand speed. A stepwise, multiple-regression analysis indicated that much of the variance (R(2) = 0.70) in pegboard times could be explained by a model that comprised two predictor variables derived from the steadiness tasks: time to match the target during a rapid force-matching task and force steadiness (coefficient of variation for force) during a single-action task. Moreover, the pegboard times were significantly faster for women (51.7 ± 6.8 s) than men (56.1 ± 4.9 s). Participants with slower pegboard times seemed to place a greater emphasis on accuracy than speed as they had longer times to match the target during the rapid force-matching task and exhibited superior force steadiness during the single-action task.
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Affiliation(s)
- Awad M Almuklass
- Department of Integrative Physiology, University of Colorado, Boulder, Colorado; and College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Ryan C Price
- Department of Integrative Physiology, University of Colorado, Boulder, Colorado; and
| | - Jeffrey R Gould
- Department of Integrative Physiology, University of Colorado, Boulder, Colorado; and
| | - Roger M Enoka
- Department of Integrative Physiology, University of Colorado, Boulder, Colorado; and
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