Greater BOLD response to working memory in endurance-trained adults revealed by breath-hold calibration

Gonzales, Mitzi M.; Tarumi, Takashi; Mumford, Jeanette A.; Ellis, Ryan C.; Hungate, Jessica R.; Pyron, Martha; Tanaka, Hirofumi; Haley, Andreana P.

doi:10.1002/hbm.22372

Cited by 11 publications

(10 citation statements)

References 59 publications

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“…Importantly, there is growing evidence from randomized control trials in older adults that 12-month bi-weekly resistance training can increase BOLD response during a selective attention task in the anterior temporal cortex and insula [ 25 ], a 6-month aerobic training program can enhance fronto-parietal [ 13 ] or medial prefrontal BOLD response [ 14 ], and a 12-month aerobic walking program increases functional connectivity between regions in the default and frontal executive network [ 16 ]. In addition, endurance-trained middle-aged adults (age 40–65) have greater working memory-related neural activation in multiple temporal, frontal, and parietal regions than their sedentary peers [ 15 ]. Together, these studies suggest that fitter and more active adults show greater BOLD signal amplitude or greater functional connectivity during task performance.…”

Section: Discussionmentioning

confidence: 99%

“…The third challenge is measuring brain function and the interpretation of the fitness- and PA-brain function relationships. For example, depending on brain region and task, greater CRF is associated with either increased or decreased change in blood oxygenation level dependent (BOLD) signal, a proxy for neural activity [ 13 – 15 ]. As a result, it is unclear whether high or low amplitudes of BOLD signal reflect optimal functional brain health, and how this association varies regionally throughout the brain.…”

Section: Introductionmentioning

confidence: 99%

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Physical Activity Is Linked to Greater Moment-To-Moment Variability in Spontaneous Brain Activity in Older Adults

et al. 2015

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Higher cardiorespiratory fitness (CRF) and physical activity (PA) in old age are associated with greater brain structural and functional integrity, and higher cognitive functioning. However, it is not known how different aspects of lifestyle such as sedentariness, light PA (LI-PA), or moderate-to-vigorous physical activity (MV-PA) relate to neural activity in aging. In addition, it is not known whether the effects of PA on brain function differ or overlap with those of CRF. Here, we objectively measured CRF as oxygen consumption during a maximal exercise test and measured PA with an accelerometer worn for 7 days in 100 healthy but low active older adults (aged 60–80 years). We modeled the relationships between CRF, PA, and brain functional integrity using multivariate partial least squares analysis. As an index of functional brain integrity we used spontaneous moment-to-moment variability in the blood oxygenation level-dependent signal (SDBOLD), known to be associated with better cognitive functioning in aging. We found that older adults who engaged more in LI-PA and MV-PA had greater SDBOLD in brain regions that play a role in integrating segregated functional domains in the brain and benefit from greater CRF or PA, such as precuneus, hippocampus, medial and lateral prefrontal, and temporal cortices. Our results suggest that engaging in higher intensity PA may have protective effects on neural processing in aging. Finally, we demonstrated that older adults with greater overall WM microstructure were those showing more LI-PA and MV-PA and greater SDBOLD. We conclude that SDBOLD is a promising correlate of functional brain health in aging. Future analyses will evaluate whether SDBOLD is modifiable with interventions aimed to increase PA and CRF in older adults.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Physical Activity Is Linked to Greater Moment-To-Moment Variability in Spontaneous Brain Activity in Older Adults

et al. 2015

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“…Beyond its use to minimize inter-individual variability of physiological influences in BOLD studies of young adults [142,172,174,[184][185][186][187], breath-holding has been used more commonly in ageing studies than other normalization approaches [172,[188][189][190][191][192][193][194]. Riecker and colleagues showed that the age differences in BOLD response of sensorimotor regions during finger tapping were accompanied by differences in BOLD-CVR BH [194], which was one of the first indications that evoked fMRI studies of ageing require careful interpretation of observed BOLD differences.…”

Section: Breath-hold-induced Hypercapniamentioning

confidence: 99%

Separating vascular and neuronal effects of age on fMRI BOLD signals

Tsvetanov

Henson

Rowe

2020

Phil. Trans. R. Soc. B

100

114

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Accurate identification of brain function is necessary to understand the neurobiology of cognitive ageing, and thereby promote well-being across the lifespan. A common tool used to investigate neurocognitive ageing is functional magnetic resonance imaging (fMRI). However, although fMRI data are often interpreted in terms of neuronal activity, the blood oxygenation level-dependent (BOLD) signal measured by fMRI includes contributions of both vascular and neuronal factors, which change differentially with age. While some studies investigate vascular ageing factors, the results of these studies are not well known within the field of neurocognitive ageing and therefore vascular confounds in neurocognitive fMRI studies are common. Despite over 10 000 BOLD-fMRI papers on ageing, fewer than 20 have applied techniques to correct for vascular effects. However, neurovascular ageing is not only a confound in fMRI, but an important feature in its own right, to be assessed alongside measures of neuronal ageing. We review current approaches to dissociate neuronal and vascular components of BOLD-fMRI of regional activity and functional connectivity. We highlight emerging evidence that vascular mechanisms in the brain do not simply control blood flow to support the metabolic needs of neurons, but form complex neurovascular interactions that influence neuronal function in health and disease. This article is part of the theme issue ‘Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity’.

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“…In recent years, functional magnetic resonance imaging (fMRI), either based on the blood oxygenation level-dependent (BOLD) contrast, arterial spin labelling, or a mixture of both, has demonstrated its effectiveness as a method to assess CVR. As a result, its use is spreading into clinical practice, where its potential as a diagnostic measure is being ascertained in different diseases, spanning from vascular diseases (Hartkamp, Bokkers, van Osch, de Borst, & Hendrikse, 2017;Markus & Cullinane, 2001;Webster et al, 1995;Ziyeh et al, 2005), to stroke and aphasia (Krainik, Hund-Georgiadis, Zysset, & Von Cramon, 2005;Van Oers et al, 2018), brain tumors (Fierstra et al, 2018;Zacà, Jovicich, Nadar, Voyvodic, & Pillai, 2014), neurodegenerative diseases (Camargo et al, 2015;Glodzik, Randall, Rusinek, & de Leon, 2013;Marshall et al, 2014), hypertension (Iadecola & Davisson, 2008;Leoni et al, 2011;Tchistiakova, Anderson, Greenwood, & Macintosh, 2014), lifestyle habits (Friedman et al, 2008;Gonzales et al, 2014), sleep apnea (Buterbaugh et al, 2015;Prilipko, Huynh, Thomason, Kushida, & Guilleminault, 2014), and traumatic brain injury or concussions (Churchill, Hutchison, Graham, & Schweizer, 2020;Markus & Cullinane, 2001).…”

Section: Introductionmentioning

confidence: 99%

ICA-based Denoising Strategies in Breath-Hold Induced Cerebrovascular Reactivity Mapping with Multi Echo BOLD fMRI

Moia

Termenon

Uruñuela

et al. 2020

Preprint

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Performing a BOLD functional MRI (fMRI) acquisition during breath-hold (BH) tasks is a non-invasive, robust method to estimate cerebrovascular reactivity (CVR). However, movement and breathing-related artefacts caused by the BH can substantially hinder CVR estimates due to their high temporal collinearity with the effect of interest, and attention has to be paid when choosing which analysis model should be applied to the data. In this study, we evaluate the performance of multiple analysis strategies based on lagged general linear models applied on multi-echo BOLD fMRI data, acquired in ten subjects performing a BH task during ten sessions, to obtain subject-specific CVR and haemodynamic lag estimates. The evaluated approaches range from conventional regression models including drifts and motion timecourses as nuisance regressors applied on single-echo or optimally-combined data, to more complex models including regressors obtained from multi-echo independent component analysis with different grades of orthogonalization in order to preserve the effect of interest, i.e. the CVR. We compare these models in terms of their ability to make signal intensity changes independent from motion, as well as the reliability as measured by voxelwise intraclass correlation coefficients of both CVR and lag maps over time. Our results reveal that a conservative independent component analysis model applied on the optimally-combined multi-echo fMRI signal offers the largest reduction of motion-related effects in the signal, while yielding reliable CVR amplitude and lag estimates, although a conventional regression model applied on the optimally-combined data results in similar estimates. This work demonstrate the usefulness of multi-echo based fMRI acquisitions and independent component analysis denoising for precision mapping of CVR in single subjects based on BH paradigms, fostering its potential as a clinically-viable neuroimaging tool for individual patients. It also proves that the way in which data-driven regressors should be incorporated in the analysis model is not straight-forward due to their complex interaction with the BH-induced BOLD response.

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Greater BOLD response to working memory in endurance-trained adults revealed by breath-hold calibration

Abstract: Breath-hold calibration increased detection of working memory-related BOLD response differences between sedentary and endurance-trained adults. Moreover, cardiorespiratory fitness appeared to mitigate age-related changes in BOLD during working memory in this region.

Cited by 11 publications

References 59 publications

Physical Activity Is Linked to Greater Moment-To-Moment Variability in Spontaneous Brain Activity in Older Adults

Physical Activity Is Linked to Greater Moment-To-Moment Variability in Spontaneous Brain Activity in Older Adults

Separating vascular and neuronal effects of age on fMRI BOLD signals

ICA-based Denoising Strategies in Breath-Hold Induced Cerebrovascular Reactivity Mapping with Multi Echo BOLD fMRI

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