Automated Voxel-Wise Brain DTI Analysis of Fitness and Aging

Liu, Zhexing; Farzinfar, Mahshid; Katz, Laurence M.; Zhu, Hongtu; Goodlett, Casey; Gerig, Guido; Styner, Martin; Marks, Bonita L.

doi:10.2174/1874347101206010080

Cited by 14 publications

(17 citation statements)

References 59 publications

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“…Seven studies examined WM microstructure cross-sectionally. Of seven studies that examined FA, three studies reported that higher levels of PFA were associated with increased FA: within the corpus callosum ( Johnson et al, 2012 ), superior longitudinal fasciculus and arcuate fasciculus ( Liu et al, 2012 ), and superior longitudinal fasciculus, superior corona radiate, inferior fronto-occipital fasciculus and inferior longitudinal fasciculus ( Tseng et al, 2013a ). Of three studies that examined MD, findings were not significant for two studies ( Johnson et al, 2012 , Marks et al, 2011 ), while Tseng et al (2013a) reported decreases in MD in non-overlapping regions to their FA results, within the cingulum and posterior thalamic radiation.…”

Section: Resultsmentioning

confidence: 99%

“…In such cases, preference was first given to the study with the largest sample size ( Tian et al, 2014a preferred to Tian et al, 2014b ). Where sample size was equal, preference was given to analyses of a global measure of WM volume expressed as a percentage of intracranial volume (ICV), rather than raw values ( Tseng et al, 2013b preferred to Tseng et al, 2013a ), and voxel-wise analysis was preferred to region-of-interest (ROI) analysis ( Liu et al, 2012 preferred to Marks et al, 2011 ). When studies reported multiple MRI analysis methods in a single paper (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…When studies reported multiple MRI analysis methods in a single paper (e.g. voxel-wise analysis and tract-based spatial statistics (TBSS) ( Liu et al, 2012 )), results from the primary analysis method is presented in the table, with results from additional methods noted in the table footnotes. Analyses in which the directionality of the relationship between PFA and WM could not be inferred were not included (e.g.…”

Section: Methodsmentioning

confidence: 99%

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A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain

et al. 2016

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Higher levels of physical fitness or activity (PFA) have been shown to have beneficial effects on cognitive function and grey matter volumes in older adults. However, the relationship between PFA and the brain's white matter (WM) is not yet well established. Here, we aim to provide a comprehensive and systematic review of magnetic resonance imaging studies examining the effects of PFA on the WM of the ageing brain. Twenty-nine studies were included in the review: eleven examined WM volume, fourteen WM lesions, and nine WM microstructure. While many studies found that higher levels of PFA were associated with greater WM volumes, reduced volume or severity of WM lesions, or improved measures of WM microstructure, a number of negative findings have also been published. Meta-analyses of global measures of WM volume and WM lesion volume yielded significant, but small, effect sizes. Overall, we found evidence for cautious support of links between PFA and WM structure, and highlighted key areas for future research including the extent to which the relationship between PFA and WM structure is anatomically specific, the influence of possible confounding factors, and the relationship between PFA, WM and cognition.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain

et al. 2016

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“…However, a recent review found mixed results (Sexton et al, 2016) on cross-sectional associations between PA and WMM. Increased fractional anisotropy (FA) with higher levels of PF has been shown within the corpus-callosum (Johnson et al, 2012), superior longitudinal fasciculus and arcuate fasciculus (Liu et al, 2012), and superior/inferior longitudinal fasciculus, superior corona radiate (Tseng et al, 2013). In the studies that examined mean diffusivity (MD), two studies (Marks et al, 2011;Johnson et al, 2012) reported no significant finding.…”

Section: Introductionmentioning

confidence: 99%

Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease

Venkatraman

Steward

Cox

et al. 2020

Front. Aging Neurosci.

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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.

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“…A growing number of studies now focuses on the investigation of the effects of PA on white matter properties (Sexton et al, 2016). In addition to repeated findings of an association between PA and white matter volume as well as white matter lesions (Sexton et al, 2016), many studies reported a positive effect of PA on WMI (Gow et al, 2012;Johnson et al, 2012;Liu et al, 2012;Tseng et al, 2013a). PA thus qualifies as a promising tool to counteract the age-related decline in WMI and to preserve cognition functioning via the association with WMI.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Age on the Association Between Physical Activity and White Matter Integrity in Cognitively Healthy Older Adults

Wolf

Fischer

Riedel

et al. 2020

Front. Aging Neurosci.

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Cognition emerges from coordinated processing among distributed cortical brain regions, enabled through interconnected white matter networks. Cortical disconnection caused by age-related decline in white matter integrity (WMI) is likely to contribute to age-related cognitive decline. Physical activity (PA) has been suggested to have beneficial effects on white matter structure. However, its potential to counteract age-related decline in WMI is not yet well established. The present explorative study analyzed if PA was associated with WMI in cognitively healthy older adults and if this association was modulated by age. Forty-four cognitively healthy older individuals (aged 60-88 years) with diffusion-tensor imaging (DTI) and PA measurements were included from the AgeGain study. Voxelwise analysis using Tract-Based Spatial Statistics (TBSS) demonstrated that PA was associated with WMI in older adults. However, results emphasized that this association was restricted to high age. The association between PA and WMI was found in widespread white matter regions suggesting a global rather than a regional effect. Supplementary analyses demonstrated an association between the integrity of these regions and the performance in memory [verbal learning and memory test (VLMT)] and executive functioning (Tower of London). Results of the present explorative study support the assumption that PA is associated with WMI in older adults. However, results emphasize that this association is restricted to high age. Since cognitive decline in the elderly is typically most pronounced in later stages of aging, PA qualifies as a promising tool to foster resilience against age-related cognitive decline, via the preservation of the integrity of the brains WM.

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Automated Voxel-Wise Brain DTI Analysis of Fitness and Aging

Cited by 14 publications

References 59 publications

A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain

A systematic review of MRI studies examining the relationship between physical fitness and activity and the white matter of the ageing brain

Baseline White Matter Is Associated With Physical Fitness Change in Preclinical Alzheimer’s Disease

The Impact of Age on the Association Between Physical Activity and White Matter Integrity in Cognitively Healthy Older Adults

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