Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease
White matter (WM) microstructure is a sensitive marker to distinguish individuals at risk of Alzheimer’s disease. The association of objective physical fitness (PF) measures and WM microstructure has not been explored and mixed results reported with physical activity (PA). Longitudinal studies of WM...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-04-01
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| Series: | Frontiers in Aging Neuroscience |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fnagi.2020.00115/full |
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| author | Vijay K. Venkatraman Christopher E. Steward Christopher E. Steward Kay L. Cox Kathryn A. Ellis Kathryn A. Ellis Kathryn A. Ellis Pramit M. Phal Pramit M. Phal Matthew J. Sharman Victor L. Villemagne Victor L. Villemagne Michelle M. Y. Lai Michelle M. Y. Lai Michelle M. Y. Lai Elizabeth V. Cyarto David Ames David Ames David Ames Cassandra Szoeke Cassandra Szoeke Cassandra Szoeke Christopher C. Rowe Christopher C. Rowe Colin L. Masters Nicola T. Lautenschlager Nicola T. Lautenschlager Patricia M. Desmond Patricia M. Desmond |
| author_facet | Vijay K. Venkatraman Christopher E. Steward Christopher E. Steward Kay L. Cox Kathryn A. Ellis Kathryn A. Ellis Kathryn A. Ellis Pramit M. Phal Pramit M. Phal Matthew J. Sharman Victor L. Villemagne Victor L. Villemagne Michelle M. Y. Lai Michelle M. Y. Lai Michelle M. Y. Lai Elizabeth V. Cyarto David Ames David Ames David Ames Cassandra Szoeke Cassandra Szoeke Cassandra Szoeke Christopher C. Rowe Christopher C. Rowe Colin L. Masters Nicola T. Lautenschlager Nicola T. Lautenschlager Patricia M. Desmond Patricia M. Desmond |
| author_sort | Vijay K. Venkatraman |
| collection | DOAJ |
| description | White matter (WM) microstructure is a sensitive marker to distinguish individuals at risk of Alzheimer’s disease. The association of objective physical fitness (PF) measures and WM microstructure has not been explored and mixed results reported with physical activity (PA). Longitudinal studies of WM with PA and PF measures have had limited investigation. This study explored the relationship between objective PF measures over 24-months with “normal-appearing” WM microstructure. Data acquired on magnetic resonance imaging was used to measure “normal-appearing” WM microstructure at baseline and 24-months. Clinical variables such as cognitive and blood-based measures were collected longitudinally. Also, as part of the randomized controlled trial of a PA, extensive measures of PA and fitness were obtained over the 24 months. Bilateral corticospinal tracts (CST) and the corpus callosum showed a significant association between PF performance over 24-months and baseline WM microstructural measures. There was no significant longitudinal effect of the intervention or PF performance over 24-months. Baseline WM microstructural measures were significantly associated with PF performance over 24-months in this cohort of participants with vascular risk factors and at risk of Alzheimer’s disease with distinctive patterns for each PF test. |
| first_indexed | 2024-12-11T15:43:10Z |
| format | Article |
| id | doaj.art-28381c6e46f7411d8f4d224867ed4a9b |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-12-11T15:43:10Z |
| publishDate | 2020-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-28381c6e46f7411d8f4d224867ed4a9b2022-12-22T00:59:46ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652020-04-011210.3389/fnagi.2020.00115519007Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s DiseaseVijay K. Venkatraman0Christopher E. Steward1Christopher E. Steward2Kay L. Cox3Kathryn A. Ellis4Kathryn A. Ellis5Kathryn A. Ellis6Pramit M. Phal7Pramit M. Phal8Matthew J. Sharman9Victor L. Villemagne10Victor L. Villemagne11Michelle M. Y. Lai12Michelle M. Y. Lai13Michelle M. Y. Lai14Elizabeth V. Cyarto15David Ames16David Ames17David Ames18Cassandra Szoeke19Cassandra Szoeke20Cassandra Szoeke21Christopher C. Rowe22Christopher C. Rowe23Colin L. Masters24Nicola T. Lautenschlager25Nicola T. Lautenschlager26Patricia M. Desmond27Patricia M. Desmond28Department of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Radiology, Royal Melbourne Hospital, Melbourne, VIC, AustraliaSchool of Medicine, University of Western Australia, Perth, WA, AustraliaAcademic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, AustraliaThe Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, AustraliaMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, VIC, AustraliaDepartment of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, AustraliaEpworth Medical Imaging, Richmond, VIC, AustraliaSchool of Health Sciences, University of Tasmania, Launceston, TAS, AustraliaDepartment of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, AustraliaAcademic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia0South Metropolitan Health Service, Perth, WA, Australia1Curtin Medical School, Curtin University, Perth, WA, Australia2Bolton Clarke Research Institute, Brisbane, QLD, AustraliaAcademic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia3National Ageing Research Institute, Melbourne, VIC, Australia4St George’s Hospital, Kew, VIC, AustraliaDepartment of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, Australia5Centre for Medical Research, Royal Melbourne Hospital, Melbourne, VIC, Australia6Healthy Brain Initiative, Australian Catholic University, Melbourne, VIC, AustraliaDepartment of Molecular Imaging and Therapy, Austin Health, Melbourne, VIC, Australia7Melbourne Dementia Research Centre, The University of Melbourne, Melbourne, VIC, AustraliaThe Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, AustraliaAcademic Unit for Psychiatry of Old Age, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia8NorthWestern Mental Health, Melbourne Health, Melbourne, VIC, AustraliaDepartment of Medicine and Radiology, The University of Melbourne, Melbourne, VIC, AustraliaDepartment of Radiology, Royal Melbourne Hospital, Melbourne, VIC, AustraliaWhite matter (WM) microstructure is a sensitive marker to distinguish individuals at risk of Alzheimer’s disease. The association of objective physical fitness (PF) measures and WM microstructure has not been explored and mixed results reported with physical activity (PA). Longitudinal studies of WM with PA and PF measures have had limited investigation. This study explored the relationship between objective PF measures over 24-months with “normal-appearing” WM microstructure. Data acquired on magnetic resonance imaging was used to measure “normal-appearing” WM microstructure at baseline and 24-months. Clinical variables such as cognitive and blood-based measures were collected longitudinally. Also, as part of the randomized controlled trial of a PA, extensive measures of PA and fitness were obtained over the 24 months. Bilateral corticospinal tracts (CST) and the corpus callosum showed a significant association between PF performance over 24-months and baseline WM microstructural measures. There was no significant longitudinal effect of the intervention or PF performance over 24-months. Baseline WM microstructural measures were significantly associated with PF performance over 24-months in this cohort of participants with vascular risk factors and at risk of Alzheimer’s disease with distinctive patterns for each PF test.https://www.frontiersin.org/article/10.3389/fnagi.2020.00115/fullMCI (mild cognitive impairment)MRIDWIobjective physical fitness measuresphysical activity intervention |
| spellingShingle | Vijay K. Venkatraman Christopher E. Steward Christopher E. Steward Kay L. Cox Kathryn A. Ellis Kathryn A. Ellis Kathryn A. Ellis Pramit M. Phal Pramit M. Phal Matthew J. Sharman Victor L. Villemagne Victor L. Villemagne Michelle M. Y. Lai Michelle M. Y. Lai Michelle M. Y. Lai Elizabeth V. Cyarto David Ames David Ames David Ames Cassandra Szoeke Cassandra Szoeke Cassandra Szoeke Christopher C. Rowe Christopher C. Rowe Colin L. Masters Nicola T. Lautenschlager Nicola T. Lautenschlager Patricia M. Desmond Patricia M. Desmond Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease Frontiers in Aging Neuroscience MCI (mild cognitive impairment) MRI DWI objective physical fitness measures physical activity intervention |
| title | Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease |
| title_full | Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease |
| title_fullStr | Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease |
| title_full_unstemmed | Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease |
| title_short | Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease |
| title_sort | baseline white matter is associated with physical fitness change in preclinical alzheimer s disease |
| topic | MCI (mild cognitive impairment) MRI DWI objective physical fitness measures physical activity intervention |
| url | https://www.frontiersin.org/article/10.3389/fnagi.2020.00115/full |
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