Abstract
Over the course of aging, there is an early degradation of cerebrovascular health, which may be attenuated with aerobic exercise training. Yet, the acute cerebrovascular response to a single bout of exercise remains elusive, particularly within key brain regions most affected by age-related disease processes. We investigated the acute global and region-specific cerebral blood flow (CBF) response to 15 minutes of moderate-intensity aerobic exercise in older adults (≥65 years; n = 60) using arterial spin labeling magnetic resonance imaging. Within 0–6 min post-exercise, CBF decreased across all regions, an effect that was attenuated in the hippocampus. The exercise-induced CBF drop was followed by a rebound effect over the 24-minute postexercise assessment period, an effect that was most robust in the hippocampus. Individuals with low baseline perfusion demonstrated the greatest hippocampal-specific CBF effect post-exercise, showing no immediate drop and a rapid increase in CBF that exceeded baseline levels within 6–12 minutes postexercise. Gains in domain-specific cognitive performance postexercise were not associated with changes in regional CBF, suggesting dissociable effects of exercise on acute neural and vascular plasticity. Together, the present findings support a precision-medicine framework for the use of exercise to target brain health that carefully considers age-related changes in the cerebrovascular system.
Keywords: cardiovascular, cerebral blood flow, arterial spin labeling MRI, neurovascular, vascular plasticity
Introduction
Repeated engagement in aerobic exercise training stimulates potent neuroprotective effects and robust vascular plasticity, which benefit neural function and cognitive behavior over the course of aging (Cotman and Berchtold 2002; Ahlskog et al. 2011; Vecchio et al. 2018; Zhang et al. 2020). Older adults with poor vascular health and at high risk for disease appear to show the greatest cognitive benefit from chronic exercise interventions (Ngandu et al. 2015; Ekelund et al. 2020). In particular, long-term aerobic exercise elicits potent neural and vascular plasticity in the hippocampus (van Praag et al. 2005; Pereira et al. 2007; Erickson et al. 2011; Maass et al. 2015; Seoane et al. 2022), counteracting age-related loss in the volume and function of hippocampal regions observed in the preclinical stages of aging disease processes (Raz et al. 2005; Jack et al. 2010). The behavioral benefits of aerobic exercise training likely occur, in part, through increases in cerebral blood flow (CBF) (Pereira et al. 2007), which declines over the course of normal aging (Xing et al. 2017; Alwatban et al. 2021). Yet, the acute dynamics and time course of immediate CBF adaptations induced by a single bout of aerobic exercise have not been well characterized. It remains unknown whether acute, exercise-induced CBF mechanisms interact with aging neurobiological processes, limiting clinical translation. Such understanding is imperative for the development of innovative behavioral approaches that maximize the neuroprotective effects of exercise for aging brain health to preserve neural function and cognition.
Over the course of aging, there is a decline in CBF that occurs as early as middle age (Xing et al. 2017) and may be attenuated by engagement in regular physical activity (Thomas et al. 2013; Sugawara et al. 2020). Clinically, low resting cerebral perfusion levels in older individuals are an indicator of poor cerebrovascular health (Nagai et al. 2010; Weijs et al. 2022) and a prognostic biomarker for the development of cognitive impairment and dementia in the preclinical stages of disease (Wolters et al. 2017; Weijs et al. 2022). Lower cerebral perfusion and dysfunctional CBF regulation has been linked to age-related neural dysfunction (Stefanidis et al. 2020), cognitive impairment (Wolters et al. 2017; Weijs et al. 2022), and neurodegenerative diseases such as Alzheimer’s disease (Iadecola 2004; Xie et al. 2016; Ouellette and Lacoste 2021). Despite the striking effect of long-term aerobic exercise to promote cerebrovascular health, neural plasticity, and cognitive function (Ahlskog et al. 2011; Vecchio et al. 2018; Zhang et al. 2020), little is known about the acute onset and immediate time course of the initial cerebrovascular and neural plastic adaptations following a single bout of aerobic exercise that accrues over the course of long-term exercise interventions. Such knowledge would inform our understanding of the salient exercise-induced physiologic adaptations that may trigger beneficial changes in brain health and function over time, potentially enhancing the development of effective exercise interventions for aging populations.
Hippocampal health and cognitive functions involving regional hippocampal networks appear to preferentially benefit from the long-term effects of exercise training (van Praag et al. 2005; Pereira et al. 2007; Erickson et al. 2011; Maass et al. 2015; Seoane et al. 2022). The hippocampus is 1 of the first brain structures to be affected by age-related disease processes (Frisoni et al. 2010; Mueller et al. 2010), with hippocampal atrophy and dysfunction beginning in late adulthood (Jack et al. 1998; Erickson et al. 2012). Age-related hippocampal changes have been linked to a decline in regional vascular health (Dhikav and Anand 2011). These hippocampal changes in the preclinical stages of age-related disease processes are predictive for the development of mild cognitive impairment and dementia at an earlier age (Jack et al. 1998; Dhikav and Anand 2007, 2011; Erickson et al. 2010). Long-term habitual exercise and associated higher levels of physical fitness may counteract age-related reductions in hippocampal volume and are associated with higher cognitive memory function (Erickson et al. 2009, 2011). Notably, the chronic exercise-induced increase in regional hippocampal perfusion in the aging brain appear to interact with an individuals’ baseline cardiovascular health and genetic risk for Alzheimer’s and cardiovascular disease, with long-term exercise interventions potentially benefitting those at higher genetic risk with poor baseline health to a greater degree than their lower-risk, healthy, and age-matched counterparts (Kaufman et al. 2021). While it is becoming increasingly clear that physiologic interactions between aging, baseline health, and individual genotype influence the effectiveness of exercise interventions for brain function over long-term time scales, it remains unknown whether such interactions are detectible in the acute cerebrovascular dynamics immediately following a single exercise bout. These acute physiologic interactions could potentially serve as a predictive biomarker to identify individuals with the greatest potential benefit of exercise-induced effects on brain health, particularly in vulnerable aging brain regions such as the hippocampus.
A single bout of aerobic exercise can transiently sharpen cognitive performance acutely postexercise (Lebeau et al. 2022), though the underpinning exercise-induced physiologic mechanisms for short-term cognitive benefit remain elusive. Accumulating evidence suggests that the subtle and transient cognitive effects immediately following the cessation of an exercise bout may be particularly beneficial with aging (Barella et al. 2010; Hyodo et al. 2012; Johnson et al. 2016) and across cognitive domains of episodic memory and processing speed (Kamijo et al. 2007, 2009; Peiffer et al. 2007; Davranche et al. 2009; Kao et al. 2017). Long-term improvements in cognitive function with chronic and habitual exercise are associated with increased hippocampal volume and perfusion (Pereira et al. 2007; Thomas et al. 2013; Maass et al. 2015; Makizako et al. 2015; Jonasson et al. 2016). However, it remains unknown whether short-term, exercise-induced cognitive performance gains may occur through similar vascular mechanisms of increased hippocampal blood flow.
In this study, we sought to characterize the timing of acute effects of a single bout of moderate-intensity aerobic exercise on global and region-specific CBF dynamics in older adults. We tested the potential interactive effects of baseline cerebrovascular health on exercise-induced regional CBF changes and explored the associations with cognitive performance acutely postexercise. We measured regional CBF at baseline and immediately after a 15-min bout of moderate-intensity aerobic exercise (45–55% age-predicted heart rate reserve) for 24 min using MR-based pseudo-continuous arterial spin labeling (pCASL; White et al. 2021). We hypothesized that the hippocampus would show the most robust increases in CBF in response to exercise. Further, we predicted that older individuals with the most age-related decline in regional cerebrovascular perfusion at baseline would show the greatest exercise-induced increases in the hippocampal blood flow. Finally, we hypothesized that there would be a positive relationship between the change in regional-specific CBF and change in domain-specific cognitive performance acutely following exercise.
Materials and methods
The study design is detailed in Fig. 1. A detailed trial protocol has been described in White et al. (2021) and primary endpoint analyses have been described previously (Vidoni et al. 2022).
Fig. 1.
Study paradigm illustrating time course of study session, including cognitive testing and arterial spin labeling MRI measures recorded at baseline and immediately after a 15-minute bout of moderate-intensity exercise. The light region at the end of the exercise bout of the paradigm reflects the transition period of approximately 2 minutes. Time between baseline MRI and exercise was more variable to encourage voiding and instruction. BL = baseline; cog = cognitive.
Participants
Participants (65–85 years old) were cognitively normal and possessed no significant musculoskeletal pain with exercise, magnetic resonance imaging (MRI) contraindications, psychiatric or neurological disorder, or myocardial infarction and/or symptomatic coronary artery disease in the prior 2 years. Current cognitive function was established either through the gold standard Clinical Dementia Rating (CDR) scale (Morris 1993; Monsell et al. 2016) or by using the Quick Dementia Rating System, a rapid analog of the CDR (Galvin 2015), administered in the prior 3 months by a trained clinician. Only participants with no evidence of cognitive change were eligible for participation. The experimental protocol was approved by the University of Kansas Medical Center Institutional Review Board (IRB#: STUDY142822) and experiments were undertaken with the understanding and written consent of each participant. Participants were genotyped for apolipoprotein E4 (APOE4) carriage using standard procedures (White et al. 2021); 1 participant with no genotype available was considered as a noncarrier based on population penetrance. The study was registered in ClinicalTrials.gov (NCT04009629).
General protocol flow
Participants attended a single visit at the MRI facility. The experimental protocol has been described in detail previously (White et al. 2021; Fig. 1). Briefly, in a quiet room, participants were first administered with a standard cognitive battery lasting approximately 20 min. Then, participants changed into MRI-compatible clothing and were escorted to the imaging suite. A beat-to-beat blood pressure monitor was fitted to their left index finger and was calibrated. They underwent approximately 18 min of MR image collection. They were then escorted to an exercise cycle ergometer in an adjacent suite for 15 min of moderate-intensity exercise. Following the exercise bout, and a 5-min cooldown period, participants were immediately escorted back to the MR suite (median: 2 min from end of cooldown to start of pCASL acquisition), and postexercise imaging, lasting approximately 24 min, was performed. Finally, participants returned to the cognitive testing room for the postexercise cognitive test consistent of the same battery as at the beginning of the visit. Additional details on each step are presented in the following sections.
Single bout of moderate-intensity aerobic exercise on a cycle ergometer
To initiate the exercise, participants first rested on the upright ergometer for 5 min where resting blood pressure and heart rate were assessed. Participants then began a 5-min warm-up followed by a 15-min acute bout of moderate-intensity aerobic exercise on a cycle ergometer. The target intensity of 45–55% of heart rate reserve was based on age-predicted heart rate maximum (White et al. 2021) and the resistance was continually titrated to keep the heart rate within the target range. A 5-min cooldown bout at a self-selected pace with no resistance followed the exercise bout.
Neuroimaging procedures
MR imaging was collected before and after the exercise bout. Before exercise, 2 pCASL sequences (Yan et al. 2010; Kilroy et al. 2014; Wang et al. 2015) were acquired (total scan time for each segment = 5:48, 2 M0 images). Then, a T1-weighted, 3D magnetization prepared rapid gradient echo structural scan was collected (time repetition [TR]/time echo [TE] = 2,300/2.95 ms, time to inversion = 900,149 ms, flip angle = 9 deg, FOV = 253 × 270 mm, matrix = 240 × 256 voxels, voxel in-plane resolution = 1.05 × 1.05150 mm2, slice thickness = 1.2 mm, 176 sagittal slices, in-plane acceleration factor = 2, acquisition time = 5:09).
Immediately following the exercise bout, participants returned to the scanner and completed 4 consecutive pCASL sequences, yielding a total of approximately 24 min of consecutive postexercise CBF data. All pCASL sequences were collected with the same background-suppressed 3D GRASE protocol (TE/TR = 22.4/4,300 ms, FOV = 300 × 300 × 120 mm3, matrix = 96 × 66 × 48, postlabeling delay = 2 s, 4-segmented acquisition without partial Fourier transform reconstruction, readout duration = 23.1 ms, total scan time 348 s, and 2 M0 images).
To estimate CBF, we used an estimation pipeline adapted from the Laboratory of Functional MRI (loft-lab.org, ver. February 2019). Briefly, motion artifact in labeled and control pCASL images was corrected separately. Then, average estimated CBF in each pCASL sequence was registered and resampled to the anatomical image and smoothed using 6-mm full-width at half-maximum Gaussian kernel.
We used a regional-specific brain structure approach in our present analysis, which is in line with recent meta-analyses demonstrating that age-related decline in global CBF is driven by region-specific brain structures (Weijs et al. 2022). Additionally, region-specific CBF has been linked to the domain-specific cognitive function in aging individuals (Weijs et al. 2022). Whole-cortical gray matter and 3 regional-specific brain segments (primary motor cortex, superior parietal cortex, and hippocampus) were identified a priori based on their distinguishable functional involvement in cognitive performance domains shown to acutely benefit from exercise, notably episodic memory, selective attention, and cognitive processing speed (Kamijo et al. 2007, 2009; Peiffer et al. 2007; Davranche et al. 2009; Kao et al. 2017). To adjust for the individual CBF differences and to allow the exploration of the temporal pattern of blood flow independent of absolute CBF, we computed regional post-exercise gray matter CBF as a percentage of baseline. We first performed the individual segmentation of each anatomical scan using the Statistical Parametric Mapping CAT12 (neuro.uni-jena.de/cat, r1059 2016 October 28) package (Dahnke et al. 2013). We then isolated regions of interest (ROIs) as the overlap between regional gray matter segmentations and ROIs defined by the Neuromorphometric atlas in the CAT12 toolbox {https://www.biorxiv.org/content/10.1101/2022.06.11.495736v1.full}. Average CBF in each ROI was extracted for each pCASL sequence (github.com/aimfeld/Neurotools). Postexercise CBF was then normalized to the second preexercise sequence CBF to provide a standardized assessment duration between preexercise and postexercise time points at the sequence assessment closest to the initiation of exercise.
Cognitive behavior assessment
We employed cognitive testing for general cognitive processing speed and episodic memory on an electronic tablet using the NIH Toolbox (Weintraub et al. 2013; Kramer et al. 2014; “NIH Toolbox” 2022) at baseline and ~24 min postexercise (Fig. 1). We computed the fully corrected T-scores provided by the Toolbox, which are adjusted for formal educational attainment, age, and self-identified gender, race, and ethnicity. We used the Pattern Comparison Processing Speed Test to index general cognitive visuomotor processing speed, primarily subserved by superior parietal and primary motor cortical brain regions (Kalaska 1996; Hatsopoulos and Suminski 2011; Mutha et al. 2011; Sabes 2011; Goldenkoff et al. 2021). We used the Picture Sequence Memory Test to capture episodic memory performance, with more targeted recruitment of the hippocampus (Moscovitch et al. 2016; Das et al. 2019). Form A was used for preexercise testing, and Form B was used for postexercise testing. Per NIH Toolbox protocol (NIH Toolbox 2022), each test began with a practice session to a performance criterion.
Statistical analyses
To assess the whole cortical and regional gray matter CBF change over time, we tested linear mixed effects models with a random intercept coefficient for each participant. P-values were obtained by likelihood ratio tests of the full model against the model without the interaction or factor in question. Age, gender, APOE4 carrier status, and mean arterial blood pressure were entered into the models. These analyses were performed using R (base and lme4 packages; R Core Team. Vienna Austria v4.1.3, including base and lme4 packages). Relationships between change in regional CBF and domain-specific cognitive performance were explored with Pearson correlation coefficients. We used an a priori level of significance of 0.05.
Results
A total of 60 participants were included in present analyses (65% female, 72.8 ± 5.2 years old; Table 1). All participants achieved the target exercise intensity of 45–55% of their individually calculated heart rate reserve.
Table 1.
Participant characteristics.
ALL (n = 60) | |
---|---|
Age (years) | 72.8 ± 5.2 |
Female, n | 39 (65%) |
Total workload (kJ) | 627 ± 300 |
APOE4 carrier, n | 21 (35%) |
Baseline memory (fully corrected T-score) | 52.7 ± 9.9 |
Baseline processing speed (fully corrected T-score) | 49.0 ± 14.1 |
Values are depicted as mean ± standard deviation.
Acute exercise effects on global and regional CBF
There was a main effect of time on CBF in the cortical gray matter (X2 = 81.4, P < 0.001) with blood flow sharply decreasing immediately following exercise cessation followed by a steady increase over time after exercise. There was a time-by-region interaction (X2 = 6.1, P = 0.048, Fig. 2) in which the hippocampus showed a differential CBF response acutely after exercise compared to other brain regions. Immediately following exercise cessation (0–6 min postexercise), the hippocampus showed an attenuated drop that was followed by a rapid and robust postexercise CBF rebound effect, with CBF exceeding baseline levels by 18–24 min postexercise (P = 0.037). Superior parietal and motor cortical regions showed a greater drop in CBF immediately after exercise (P < 0.001), which was followed by a CBF rebound effect that never exceeded baseline levels at any postexercise time point (P > 0.10).
Fig. 2.
Regional CBF at baseline and over an acute time course following a bout of moderate-intensity aerobic exercise in older adults. ROIs included hippocampus, motor cortex, superior parietal cortex, and whole brain gray matter. Standard Montreal Neurological Institute masks for each ROI are included for reference (right panels). All brain regions showed change in CBF over time after exercise, characterized by an immediate CBF reduction followed by a gradual CBF increase over the course of the 24-min assessment period. There was a time-by-region interaction effect in which the hippocampus demonstrated an attenuated immediate CBF reduction compared to other brain regions (X2 = 6.1, **P = 0.048) and a more robust rebound effect. At the final assessment 18–24 min postexercise (POST18-24), only hippocampal CBF exceeded baseline levels (*P = 0.037).
Differential hippocampal blood flow response to exercise as a function of baseline cerebrovascular health
To further investigate this hippocampal hyperemic response and the effect of regional cerebrovascular health in older adults, we dichotomized the cohort around the normally distributed sample median of hippocampal perfusion at baseline (26.13 mL/100 g tissue/min). We observed no differences in the mean total hippocampal volume between groups based on this dichotomization (low perfusion = 6.1 ± 0.6 mL, high perfusion = 6.0 ± 0.6 mL, P = 0.651). There were no differences between the low and high baseline perfusion groups in the heart rate response (mean exercise heart rate: low perfusion = 97 ± 10 bpm, high perfusion = 94 ± 12 bpm, P = 0.644) or blood pressure response (mean systolic exercise blood pressure: low perfusion = 141 ± 25 mmHg, high perfusion = 140 ± 19 mmHg, P = 0.270; mean diastolic exercise blood pressure: low perfusion = 73 ± 11 mmHg, high perfusion = 73 ± 9 mmHg, P = 0.251) to exercise. We observed a time-by-baseline perfusion (low and high) interaction of hippocampal CBF response to exercise (X2 = 21.1, P < 0.001, Fig. 3) in which the hippocampal blood flow responded differently over time between individuals who possessed low versus high regional baseline perfusion. Post hoc analyses revealed that the region-specific hippocampal response to exercise (Fig. 2) was driven by individuals with low baseline perfusion; here, individuals with low baseline perfusion showed an attenuated drop compared to individuals with high baseline perfusion, though the difference between groups did not meet our a priori level of significance (P = 0.093). Individuals with low baseline perfusion also demonstrate a more rapid and hyperemic increase over the acute course of postexercise recovery, exceeding baseline levels at 6–12, 12–18, and 18–24 min postexercise (P < 0.03). By contrast, hippocampal CBF did not exceed baseline levels at any time point in individuals with high baseline perfusion (P > 0.10).
Fig. 3.
Hippocampal blood flow response to a bout of moderate-intensity aerobic exercise in older adults with low (<26.13 mL/100 g tissue/min) and high (≥26.13 mL/100 g tissue/min) baseline hippocampal perfusion levels. Older adults with low baseline perfusion showed an attenuated immediate drop in the hippocampal blood flow at 0–6 min postexercise (POST0-6) followed by a more rapid and robust hyperemic rebound effect over the 24-min assessment time course following exercise cessation, exceeding baseline levels at 6–12 (POST6-12) and 18–24 min (POST18-24) postexercise (*P < 0.03). Older adults with high baseline perfusion showed no increase in hippocampal blood flow above baseline levels at any timepoint assessed.
Acute exercise effects on cognitive performance and associations with hippocampal CBF
Cognitive processing speed showed a main effect of time, increasing from baseline to postexercise (X2 = 52.8, P < 0.001), while memory performance showed no change (X2 = 2.8, P = 0.10). There were no relationships between the change in region-specific CBF and change in cognitive performance across either processing speed or memory domain tested (P > 0.10).
Discussion
This study provides novel mechanistic insight into the acute global and region-specific cerebrovascular response to a bout of aerobic exercise in the aging brain. Our results yield 3 key findings: (1) brain regions showed a differential acute response to aerobic exercise, with the hippocampus displaying a hyperemic rebound response for at least 24-min postexercise recovery; (2) older individuals with lower regional perfusion at baseline showed the most rapid and robust increase in hippocampal blood flow acutely following exercise cessation; and (3) acute exercise-induced changes in the regional CBF were not associated with domain-specific increases in cognitive performance following exercise, suggesting dissociable cerebral mechanisms underpinning acute versus chronic improvements in cognitive function with exercise in older individuals. The present findings serve as a first step toward an improved understanding of the acute cerebrovascular response to aerobic exercise in the aging brain, laying a foundation for the development of precision-medicine techniques that target high-risk, older individuals with poor cerebrovascular health with aerobic exercise in the preclinical stages of disease.
Hippocampal blood flow rapidly and preferentially increases after exercise cessation in older adults
Following exercise cessation, hippocampal CBF increased more rapidly and robustly compared to other brain regions to exceed a postexercise CBF above baseline at the end of the 24-min postexercise recovery assessment period (Fig. 2). This acute region-specific cerebrovascular effect in older individuals is similar that reported in younger individuals (Steventon et al. 2020), who demonstrated region-specific increases in hippocampal blood flow acutely following a 20-min bout of moderate-intensity aerobic exercise. The regional specificity of exercise-induced increases in hippocampal blood flow may be explained by the local transient increases in norepinephrine and dopamine which occur following exercise (Meeusen and De Meirleir 1995; Dunn et al. 1996; Goekint et al. 2012; Skriver et al. 2014), which have been demonstrated to trigger immediate local CBF modulation (Krimer et al. 1998). Repeated exposure to aerobic exercise stimuli over time can elicit cerebral angiogenesis (Ding et al. 2006) and increased hippocampal baseline perfusion (Pereira et al. 2007). In older individuals in the present study, acute hippocampal hyperemia following exercise is also consistent with the findings of long-term exercise training, where hippocampal health and function show the greatest benefit compared to other brain regions (van Praag et al. 2005; Pereira et al. 2007; Erickson et al. 2011; Maass et al. 2015; Seoane et al. 2022). Here, the preferential hippocampal response to exercise may identify a cerebrovascular mechanism by which long-term exercise training elicits domain-specific cognitive benefits for memory function with aging (Cotman and Berchtold 2002; Pereira et al. 2007; Kamijo et al. 2009; Ahlskog et al. 2011; Maass et al. 2015; Makizako et al. 2015; Jonasson et al. 2016; Vecchio et al. 2018; Zhang et al. 2020). For the first time, the present findings demonstrate the acute time scale of regional hippocampal blood flow responses to aerobic exercise in the aging brain and implicate aerobic exercise as an effective behavioral approach to target early, age-related declines in hippocampal blood flow.
Poor cerebrovascular health elicits more rapid and robust increases in hippocampal blood flow acutely after exercise
When investigating the effects of regional cerebrovascular health on acute CBF response to exercise, we found that exercise-induced increases in hippocampal blood flow occurred only in older individuals with poor baseline perfusion, implicating an increased capacity for acute, exercise-induced vascular plasticity in the preclinical stages of age-related brain pathology. Lower baseline cerebral perfusion is an indicator of poor cerebrovascular health and is associated with age-related pathology and disease (Iadecola 2004; Wolters et al. 2017; Ouellette and Lacoste 2021; Weijs et al. 2022). In older adults, we found that the region-specific hippocampal blood flow effect after exercise (Fig. 2) was driven by individuals with low regional perfusion; these individuals showed an attenuated immediate drop followed by a more robust, hyperemic rebound effect that quickly surpassed the baseline levels and continued to increase over the acute 24-min time course of exercise recovery (Fig. 3). This effect of baseline regional perfusion level on acute, exercise-induced hippocampal blood flow response may be unique to aging, as there are no reports of this effect in similar investigations involving younger individuals (Smith et al. 2010; MacIntosh et al. 2014; Steventon et al. 2020). The higher prevalence of poor vascular health in older individuals as a result of aging processes (Thomas et al. 2013; Xing et al. 2017; Alwatban et al. 2021) may explain the specific aging context of this effect. This cerebrovascular health effect on acute CBF response to exercise is consistent with previous investigations of exercise training effectiveness as a function of cardiovascular health and fitness, where sedentary individuals with low fitness levels show the greatest health benefits in response to chronic exercise training (Ngandu et al. 2015; Ekelund et al. 2020). Here, our findings extend the principle that individuals with poor vascular health possess the greatest potential for therapeutic exercise benefit to the context of brain health with aging. Notably, the interactive effect between baseline perfusion and hippocampal blood flow response to exercise was present even after controlling for a proxy measure of fitness (i.e. exercise workload), suggesting that baseline regional perfusion may provide unique information for the prediction of exercise-induced vascular plasticity potential that is not gleaned from an individual’s level of physical fitness alone. Interestingly, postexercise hippocampal blood flow never increased above baseline levels in individuals with high perfusion (Fig. 3). As we only tested a single type of exercise, it is possible that a different type of exercise stimulus, for example, high-intensity interval training, may elicit more robust vascular and neural plasticity in these individuals (Boyne et al. 2019; Kaiser et al. 2022; Neva et al. 2022; Weston et al. 2022). The present results provide preliminary evidence for the use of baseline cerebrovascular perfusion as a predictive biomarker for brain health benefit from exercise in aging populations, particularly high-risk individuals. Future studies are needed to test whether hippocampal perfusion may serve as a useful biomarker for targeted therapeutic approaches involving exercise in aging clinical populations, e.g. individuals with mild cognitive impairment or Alzheimer’s disease.
Aerobic exercise elicits an acute drop in CBF in older adults
A global and robust drop in CBF immediately following exercise cessation in older adults in the present study may reflect attenuated mechanisms of cerebrovascular regulation acutely postexercise in the aging brain. We observed a sharp and immediate decrease in CBF across all brain regions from baseline levels during the 0–6 min postexercise assessment time point (Fig. 2). This CBF decline was likely triggered, at least in part, by the positional transition to supine at the start of the MR scan and may reflect the cerebrovascular autoregulation mechanisms required during positional transfers (Claassen et al. 2021). Notably, the effect persisted even after controlling for mean arterial pressure, implicating the strong influence of cerebral-specific regulation mechanisms (Brassard et al. 2021). The global drop in CBF appears to be unique to older adult populations in the present study, as it was not reported by younger individuals acutely after exercise despite similar positional transfers required for MR acquisition (Smith et al. 2010; Steventon et al. 2020). Interestingly, a decrease in global CBF has also been observed in preadolescent children acutely after exercise (Pontifex et al. 2018), suggesting that an exercise-induced CBF drop may follow a U-shaped curve over the lifespan, where unique neurobiological processes during early and later stages of life introduce dysfunctional CBF regulation in response to physiologic stressors such as exercise. The magnitude of CBF drop was also region-specific, showing an attenuated effect in the hippocampus (e.g. 6% reduction in the hippocampus vs. 15% reduction in the superior parietal cortex; Fig. 2), particularly in individuals with low baseline perfusion (Fig. 3). Interactions of aging and age-related vascular health with cerebrovascular autoregulation under behavioral conditions, e.g. aerobic exercise (Palmer et al. 2022) and positional transfers (Sorond et al. 2010; Whitaker et al. 2022), may explain the presence of this CBF hypoperfusion effect immediately after exercise in older adults in the present study. Older individuals may possess poor age-related cerebrovascular regulation under states of physiologic stress (Ward et al. 2018; Claassen et al. 2021), which are differentially regulated across brain regions and between individuals (Brassard et al. 2021). Acute exercise-induced CBF hypotension in older individuals warrants further investigation for interpretation and potential health implications in aging populations.
Acute cognitive performance and CBF changes after exercise are not associated
In the present study, there was a lack of association between changes in cognitive performance and CBF acutely postexercise, suggesting dissociable acute effects of exercise on neural and vascular plasticity and elucidating the longer time scales necessary for the established link between neural and vascular plasticity in the cerebrum and hippocampus. Given the evidence for low regional CBF as a prognostic biomarker for the development of cognitive impairment and dementia (see Weijs et al. 2022 for comprehensive review and meta-analysis; Wolters et al. 2017) combined with the evidence of aerobic exercise acutely benefiting cognitive function (Statton et al. 2015), it was surprising that we found no associations between the change in domain-specific cognitive performance and region-specific CBF acutely after exercise. Together, these findings suggest that repeated and chronic exposure to aerobic exercise training are needed to elicit vascular plasticity processes that positively influence cognitive function. The chronic time scales needed for exercise-induced cerebrovascular benefit on cognition may be consistent with other exercise-induced mechanisms involving the release of neurotrophic factors over longer time scales (e.g. weeks) for therapeutic benefit (Voss et al. 2013; Whiteman et al. 2014; Maass et al. 2015). It is possible that acute improvements in cognitive processing speed and memory were primarily due to task-specific practice effects, driven by neural plasticity (see Hubbard et al. 2009; Kleim and Jones 2008 for review); in this case, exercise-induced vascular plasticity may play less of a role in this acute context. Future studies implementing a control condition without exercise will help dissociate practice from exercise-induced effects on increased cognitive performance.
Strengths and limitations
Building upon prior human investigations in younger individuals and long-term exercise training effects on aging brain health, this work provides novel insight into acute CBF responses to aerobic exercise in the aging cerebrovascular system. Our approach using arterial spin labeling MRI allowed investigation of magnetically labeled blood water molecules in the brain tissue capillary bed, enabling region-specific investigation of the acute time course of CBF response following aerobic exercise cessation.
Our focused investigation on the novel characterization of acute CBF responses with aging did not include a nonexercise control condition and should be considered carefully in the interpretation of these findings. The postexercise MRI time window of our approach was based on acute hippocampal blood flow responses in younger individuals, who show hippocampal blood flow peaks within ~20 min after exercise (Steventon et al. 2020) and further enabled us to perform cognitive testing within <30 min postexercise. However, this relatively shortened postexercise time frame would not have captured vascular plasticity occurring on longer time scales postexercise, warranting future research to extend the postexercise MRI scan period to test for delayed blood flow effects in aging populations.
To date, a clinically meaningful CBF threshold indicative of poor cerebrovascular health has not been established, as CBF has been assessed using different methods (e.g. single-photon emission computed tomography, transcranial Doppler ultrasound, ASL-MRI); (Wolters et al. 2017; Ward et al. 2018; Alwatban et al. 2020, 2021; Kaufman et al. 2021; Vidoni et al. 2022; Weijs et al. 2022). As a first step, the present study used the cohort median value for regional perfusion level to classify older individuals with “low” and “high” baseline perfusion; however, future studies are needed to empirically test the clinical significance of this baseline perfusion threshold as a metric of cerebrovascular health in larger cohorts of older adults and utilizing a standardized CBF assessment approach.
Given the limited sample size, the findings of the present study were driven by a pointed, hypotheses-driven analytic approach motivated by our specific interest in age-related vascular brain health. Future studies involving larger sample sizes would be well positioned to test the influence of a wider range of clinical metrics and biomarkers on the acute CBF response to exercise. Such studies would build up on the present findings and could be impactful for precision-medicine approaches involving exercise.
Conclusion
The present results reveal that older individuals can achieve region-specific hippocampal blood flow increases acutely following exercise similarly to those previously reported in younger individuals. We further identify a subgroup of older adults with low cerebrovascular health who show the most rapid and robust increase in hippocampal blood flow following exercise, suggesting older individuals in the preclinical stages of disease processes may have an increased capacity for exercise-induced regional vascular plasticity. Together, the present findings support an individualized, precision-based framework for the use of exercise to target brain health, which carefully considers age-related changes in the cerebrovascular system.
Contributor Information
Jacqueline A Palmer, Department of Neurology, School of Medicine, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, United States.
Jill K Morris, Department of Physical Therapy, Rehabilitation Science, and Athletic Training, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd. Kansas City, KS, 66160, United States; University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, United States.
Sandra A Billinger, Department of Neurology, School of Medicine, University of Kansas Medical Center, 3901 Rainbow Blvd, Kansas City, KS, 66160, United States; University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, United States; Department of Molecular & Integrative Physiology, University of Kansas Medical Center, 3901 Rainbow Blvd., Kansas City, KS, 66160, United States.
Rebecca J Lepping, Department of Physical Therapy, Rehabilitation Science, and Athletic Training, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd. Kansas City, KS, 66160, United States.
Laura Martin, University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, United States.
Zachary Green, Department of Physical Therapy, Rehabilitation Science, and Athletic Training, School of Health Professions, University of Kansas Medical Center, 3901 Rainbow Blvd. Kansas City, KS, 66160, United States; University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, United States.
Eric D Vidoni, University of Kansas Alzheimer’s Disease Research Center, 4350 Shawnee Mission Parkway, Fairway, KS, 66205, United States.
Funding
This work was supported by the National Institutes of Health (K99AG075255 to JAP, R01 AG062548 to JKM, R21 AG061548, P30 AG072973, and P30 AG035982) and the Leo and Anne Albert Charitable Trust. The Hoglund Biomedical Imaging Center is supported by a generous gift from Forrest and Sally Hoglund and funding from the National Institutes of Health, including S10 RR29577 and UL1 TR002366.
Conflict of interest statement: The authors have no conflicts of interest to declare.
References
- Ahlskog JE, Geda YE, Graff-Radford NR, Petersen RC. Physical exercise as a preventive or disease-modifying treatment of dementia and brain aging. Mayo Clin Proc. 2011:86(9):876–884. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alwatban MR, Liu Y, Perdomo SJ, Ward JL, Vidoni ED, Burns JM, Billinger SA. TCD cerebral hemodynamic changes during moderate-intensity exercise in older adults. J Neuroimaging. 2020:30(1):76–81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Alwatban MR, Aaron SE, Kaufman CS, Barnes JN, Brassard P, Ward JL, Miller KB, Howery AJ, Labrecque L, Billinger SA. Effects of age and sex on middle cerebral artery blood velocity and flow pulsatility index across the adult lifespan. J Appl Physiol (1985). 2021:130(6):1675–1683. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barella LA, Etnier JL, Chang Y-K. The immediate and delayed effects of an acute bout of exercise on cognitive performance of healthy older adults. J Aging Phys Act. 2010:18(1):87–98. [DOI] [PubMed] [Google Scholar]
- Boyne P, Meyrose C, Westover J, Whitesel D, Hatter K, Reisman DS, Cunningham D, Carl D, Jansen C, Khoury JC, et al. Exercise intensity affects acute neurotrophic and neurophysiological responses poststroke. J Appl Physiol (1985). 2019:126(2):431–443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brassard P, Labrecque L, Smirl JD, Tymko MM, Caldwell HG, Hoiland RL, Lucas SJE, Denault AY, Couture EJ, Ainslie PN. Losing the dogmatic view of cerebral autoregulation. Physiol Rep. 2021:9(15):e14982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Claassen JAHR, Thijssen DHJ, Panerai RB, Faraci FM. Regulation of cerebral blood flow in humans: physiology and clinical implications of autoregulation. Physiol Rev. 2021:101(4):1487–1559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cotman CW, Berchtold NC. Exercise: a behavioral intervention to enhance brain health and plasticity. Trends Neurosci. 2002:25(6):295–301. [DOI] [PubMed] [Google Scholar]
- Das T, Hwang JJ, Poston KL. Episodic recognition memory and the hippocampus in Parkinson’s disease: a review. Cortex. 2019:113:191–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Davranche K, Hall B, McMorris T. Effect of acute exercise on cognitive control required during an Eriksen flanker task. J Sport Exerc Psychol. 2009:31(5):628–639. [DOI] [PubMed] [Google Scholar]
- Dahnke R, Yotter RA, Gaser C. Cortical thickness and central surface estimation. Neuroimage. 2013:65:336–348. [DOI] [PubMed] [Google Scholar]
- Dhikav V, Anand KS. Is hippocampal atrophy a future drug target? Med Hypotheses. 2007:68(6):1300–1306. [DOI] [PubMed] [Google Scholar]
- Dhikav V, Anand K. Potential predictors of hippocampal atrophy in Alzheimer’s disease. Drugs Aging. 2011:28(1):1–11. [DOI] [PubMed] [Google Scholar]
- Ding Y-H, Li J, Zhou Y, Rafols JA, Clark JC, Ding Y. Cerebral angiogenesis and expression of angiogenic factors in aging rats after exercise. Curr Neurovasc Res. 2006:3(1):15–23. [DOI] [PubMed] [Google Scholar]
- Dunn AL, Reigle TG, Youngstedt SD, Armstrong RB, Dishman RK. Brain norepinephrine and metabolites after treadmill training and wheel running in rats. Med Sci Sports Exerc. 1996:28(2):204–209. [DOI] [PubMed] [Google Scholar]
- Ekelund U, Tarp J, Fagerland MW, Johannessen JS, Hansen BH, Jefferis BJ, Whincup PH, Diaz KM, Hooker S, Howard VJ, et al. Joint associations of accelero-meter measured physical activity and sedentary time with all-cause mortality: a harmonised meta-analysis in more than 44 000 middle-aged and older individuals. Br J Sports Med. 2020:54(24):1499–1506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erickson KI, Prakash RS, Voss MW, Chaddock L, Hu L, Morris KS, White SM, Wójcicki TR, McAuley E, Kramer AF. Aerobic fitness is associated with hippocampal volume in elderly humans. Hippocampus. 2009:19(10):1030–1039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erickson KI, Raji CA, Lopez OL, Becker JT, Rosano C, Newman AB, Gach HM, Thompson PM, Ho AJ, Kuller LH. Physical activity predicts gray matter volume in late adulthood: the cardiovascular health study. Neurology. 2010:75(16):1415–1422. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, Kim JS, Heo S, Alves H, White SM, et al. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011:108(7):3017–3022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Erickson KI, Miller DL, Roecklein KA. The aging hippocampus: interactions between exercise, depression, and BDNF. Neuroscientist. 2012:18(1):82–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frisoni GB, Fox NC, Jack CR, Scheltens P, Thompson PM. The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol. 2010:6(2):67–77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Galvin JE. The quick dementia rating system (qdrs): a rapid dementia staging tool. Alzheimers Dement (Amst). 2015:1(3):249–259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goekint M, Bos I, Heyman E, Meeusen R, Michotte Y, Sarre S. Acute running stimulates hippocampal dopaminergic neurotransmission in rats, but has no influence on brain-derived neurotrophic factor. J Appl Physiol (1985). 2012:112(4):535–541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goldenkoff ER, Logue RN, Brown SH, Vesia M. Reduced facilitation of parietal-motor functional connections in older adults. Front Aging Neurosci. 2021:13:1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hatsopoulos NG, Suminski AJ. Sensing with the motor cortex. Neuron. 2011:72(3):477–487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hubbard IJ, Parsons MW, Neilson C, Carey LM. Task-specific training: evidence for and translation to clinical practice. Occup Ther Int. 2009:16(3-4):175–189. [DOI] [PubMed] [Google Scholar]
- Hyodo K, Dan I, Suwabe K, Kyutoku Y, Yamada Y, Akahori M, Byun K, Kato M, Soya H. Acute moderate exercise enhances compensatory brain activation in older adults. Neurobiol Aging. 2012:33(11):2621–2632. [DOI] [PubMed] [Google Scholar]
- Iadecola C. Neurovascular regulation in the normal brain and in Alzheimer’s disease. Nat Rev Neurosci. 2004:5(5):347–360. [DOI] [PubMed] [Google Scholar]
- Jack CR, Petersen RC, Xu Y, O’Brien PC, Smith GE, Ivnik RJ, Tangalos EG, Kokmen E. Rate of medial temporal lobe atrophy in typical aging and Alzheimer’s disease. Neurology. 1998:51(4):993–999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jack CR, Wiste HJ, Vemuri P, Weigand SD, Senjem ML, Zeng G, Bernstein MA, Gunter JL, Pankratz VS, Aisen PS, et al. Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer’s disease. Brain. 2010:133(11):3336–3348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson L, Addamo PK, Selva Raj I, Borkoles E, Wyckelsma V, Cyarto E, Polman RC. An acute bout of exercise improves the cognitive performance of older adults. J Aging Phys Act. 2016:24(4):591–598. [DOI] [PubMed] [Google Scholar]
- Jonasson LS, Nyberg L, Kramer AF, Lundquist A, Riklund K, Boraxbekk C-J. Aerobic exercise intervention, cognitive performance, and brain structure: results from the Physical Influences on Brain in Aging (PHIBRA) study. Front Aging Neurosci. 2016:8:336. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kaiser A, Reneman L, Solleveld MM, Coolen BF, Scherder EJA, Knutsson L, Bjørnerud A, Osch MJP, Wijnen JP, Lucassen PJ, et al. A randomized controlled trial on the effects of a 12-week high- vs. low-intensity exercise intervention on hippocampal structure and function in healthy, young adults. Front Psych. 2022:12:1–15. doi: 10.3389/fpsyt.2021.780095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kalaska JF. Parietal cortex area 5 and visuomotor behavior. Can J Physiol Pharmacol. 1996:74(4):483–498. [PubMed] [Google Scholar]
- Kamijo K, Nishihira Y, Higashiura T, Kuroiwa K. The interactive effect of exercise intensity and task difficulty on human cognitive processing. Int J Psychophysiol. 2007:65(2):114–121. [DOI] [PubMed] [Google Scholar]
- Kamijo K, Hayashi Y, Sakai T, Yahiro T, Tanaka K, Nishihira Y. Acute effects of aerobic exercise on cognitive function in older adults. J Gerontol B Psychol Sci Soc Sci. 2009:64(3):356–363. [DOI] [PubMed] [Google Scholar]
- Kao S-C, Westfall DR, Soneson J, Gurd B, Hillman CH. Comparison of the acute effects of high-intensity interval training and continuous aerobic walking on inhibitory control. Psychophysiology. 2017:54(9):1335–1345. [DOI] [PubMed] [Google Scholar]
- Kaufman CS, Honea RA, Pleen J, Lepping RJ, Watts A, Morris JK, Billinger SA, Burns JM, Vidoni ED. Aerobic exercise improves hippocampal blood flow for hypertensive apolipoprotein E4 carriers. J Cereb Blood Flow Metab. 2021:41(8):2026–2037. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kilroy E, Apostolova L, Liu C, Yan L, Ringman J, Wang DJJ. Reliability of 2D and 3D pseudo-continuous arterial spin Labeling perfusion MRI in elderly populations—comparison with 15O-water PET. J Magn Reson Imaging. 2014:39(4):931–939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kleim JA, Jones TA. Principles of experience-dependent neural plasticity: implications for rehabilitation after brain damage. J Speech Lang Hear Res. 2008:51:225–240. [DOI] [PubMed] [Google Scholar]
- Kramer JH, Mungas D, Possin KL, Rankin KP, Boxer AL, Rosen HJ, Bostrom A, Sinha L, Berhel A, Widmeyer M. NIH EXAMINER: conceptualization and development of an executive function battery. J Int Neuropsychol Soc. 2014:20(1):11–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Krimer LS, Muly EC, Williams GV, Goldman-Rakic PS. Dopaminergic regulation of cerebral cortical microcirculation. Nat Neurosci. 1998:1(4):286–289. [DOI] [PubMed] [Google Scholar]
- Lebeau J-C, Mason J, Roque N, Tenenbaum G. The effects of acute exercise on driving and executive functions in healthy older adults. Int J Sport Exerc Psychol. 2022:20(1):283–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maass A, Düzel S, Goerke M, Becke A, Sobieray U, Neumann K, Lövden M, Lindenberger U, Bäckman L, Braun-Dullaeus R, et al. Vascular hippocampal plasticity after aerobic exercise in older adults. Mol Psychiatry. 2015:20(5):585–593. [DOI] [PubMed] [Google Scholar]
- MacIntosh BJ, Crane DE, Sage MD, Rajab AS, Donahue MJ, McIlroy WE, Middleton LE. Impact of a single bout of aerobic exercise on regional brain perfusion and activation responses in healthy young adults. PLoS One. 2014:9(1):e85163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Makizako H, Liu-Ambrose T, Shimada H, Doi T, Park H, Tsutsumimoto K, Uemura K, Suzuki T. Moderate-intensity physical activity, hippocampal volume, and memory in older adults with mild cognitive impairment. J Gerontol A Biol Sci Med Sci. 2015:70(4):480–486. [DOI] [PubMed] [Google Scholar]
- Meeusen R, De Meirleir K. Exercise and brain neurotransmission. Sports Med. 1995:20(3):160–188. [DOI] [PubMed] [Google Scholar]
- Monsell SE, Dodge HH, Zhou X-H, Bu Y, Besser LM, Mock C, Hawes SE, Kukull WA, Weintraub S, Neuropsychology Work Group Advisory to the Clinical Task Force . Results from the NACC Uniform Data Set Neuropsychological Battery Crosswalk study. Alzheimer Dis Assoc Disord. 2016:30(2):134–139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morris JC. The clinical dementia rating (CDR): current version and scoring rules. Neurology. 1993:43(11):2412–2414. [DOI] [PubMed] [Google Scholar]
- Moscovitch M, Cabeza R, Winocur G, Nadel L. Episodic memory and beyond: the hippocampus and neocortex in transformation. Annu Rev Psychol. 2016:67(1):105–134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mueller SG, Schuff N, Yaffe K, Madison C, Miller B, Weiner MW. Hippocampal atrophy patterns in mild cognitive impairment and Alzheimer’s disease. Hum Brain Mapp. 2010:31(9):1339–1347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mutha PK, Sainburg RL, Haaland KY. Left parietal regions are critical for adaptive visuomotor control. J Neurosci. 2011:31(19):6972–6981. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Nagai M, Hoshide S, Kario K. Hypertension and dementia. Am J Hypertens. 2010:23(2):116–124. [DOI] [PubMed] [Google Scholar]
- Neva JL, Greeley B, Chau B, Ferris JK, Jones CB, Denyer R, Hayward KS, Campbell KL, Boyd LA. Acute high-intensity interval exercise modulates corticospinal excitability in older adults. Med Sci Sports Exerc. 2022:54(4):673–682. [DOI] [PubMed] [Google Scholar]
- Ngandu T, Lehtisalo J, Solomon A, Levälahti E, Ahtiluoto S, Antikainen R, Bäckman L, Hänninen T, Jula A, Laatikainen T, et al. A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial. Lancet. 2015:385(9984):2255–2263. [DOI] [PubMed] [Google Scholar]
- NIH Toolbox . [WWW Document]. 2022. https://www.healthmeasures.net/explore-measurement-systems/nih-toolbox.
- Ouellette J, Lacoste B. From neurodevelopmental to neurodegenerative disorders: the vascular continuum. Front Aging Neurosci. 2021:13:749026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Palmer JA, Kaufman CS, Vidoni ED, Honea RA, Burns JM, Billinger SA. Cerebrovascular response to exercise interacts with individual genotype and amyloid-beta deposition to influence response inhibition with aging. Neurobiol Aging. 2022:114:15–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Peiffer AM, Hugenschmidt CE, Maldjian JA, Casanova R, Srikanth R, Hayasaka S, Burdette JH, Kraft RA, Laurienti PJ. Aging and the interaction of sensory cortical function and structure. Hum Brain Mapp. 2007:30(1):228–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pereira AC, Huddleston DE, Brickman AM, Sosunov AA, Hen R, McKhann GM, Sloan R, Gage FH, Brown TR, Small SA. An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus. Proc Natl Acad Sci U S A. 2007:104(13):5638–5643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pontifex MB, Gwizdala KL, Weng TB, Zhu DC, Voss MW. Cerebral blood flow is not modulated following acute aerobic exercise in preadolescent children. Int J Psychophysiol. 2018:134:44–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, Dahle C, Gerstorf D, Acker JD. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex. 2005:15(11):1676–1689. [DOI] [PubMed] [Google Scholar]
- Sabes PN. Sensory integration for reaching: models of optimality in the context of behavior and the underlying neural circuits. Prog Brain Res. 2011:191:195–209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seoane S, Ezama L, Janssen N. Daily-life physical activity of healthy young adults associates with function and structure of the hippocampus. Front Hum Neurosci. 2022:16:790359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Skriver K, Roig M, Lundbye-Jensen J, Pingel J, Helge JW, Kiens B, Nielsen JB. Acute exercise improves motor memory: exploring potential biomarkers. Neurobiol Learn Mem. 2014:116:46–58. [DOI] [PubMed] [Google Scholar]
- Smith JC, Paulson ES, Cook DB, Verber MD, Tian Q. Detecting changes in human cerebral blood flow after acute exercise using arterial spin labeling: implications for fMRI. J Neurosci Methods. 2010:191(2):258–262. [DOI] [PubMed] [Google Scholar]
- Sorond FA, Galica A, Serrador JM, Kiely DK, Iloputaife I, Cupples LA, Lipsitz LA. Cerebrovascular hemodynamics, gait, and falls in an elderly population: MOBILIZE Boston study. Neurology. 2010:74(20):1627–1633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Statton MA, Encarnacion M, Celnik P, Bastian AJ. A single bout of moderate aerobic exercise improves motor skill acquisition. PLoS One. 2015:10(10):e0141393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stefanidis KB, Isbel B, Klein T, Lagopoulos J, Askew CD, Summers MJ. Reduced cerebral pressure-flow responses are associated with electrophysiological markers of attention in healthy older adults. J Clin Neurosci. 2020:81:167–172. [DOI] [PubMed] [Google Scholar]
- Steventon JJ, Foster C, Furby H, Helme D, Wise RG, Murphy K. Hippocampal blood flow is increased after 20 min of moderate-intensity exercise. Cereb Cortex. 2020:30(2):525–533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sugawara J, Tomoto T, Repshas J, Zhang R, Tarumi T. Middle-aged endurance athletes exhibit lower cerebrovascular impedance than sedentary peers. J Appl Physiol (1985). 2020:129(2):335–342. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thomas BP, Yezhuvath US, Tseng BY, Liu P, Levine BD, Zhang R, Lu H. Life-long aerobic exercise preserved baseline cerebral blood flow but reduced vascular reactivity to CO2. J Magn Reson Imaging. 2013:38(5):1177–1183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Praag H, Shubert T, Zhao C, Gage FH. Exercise enhances learning and hippocampal neurogenesis in aged mice. J Neurosci. 2005:25(38):8680–8685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vecchio LM, Meng Y, Xhima K, Lipsman N, Hamani C, Aubert I. The neuroprotective effects of exercise: maintaining a healthy brain throughout aging. Brain Plasticity (Amsterdam, Netherlands). 2018:4(1):17–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vidoni ED, Morris JK, Palmer JA, Li Y, White D, Kueck PJ, John CS, Honea RA, Lepping RJ, Lee P, et al. Dementia risk and dynamic response to exercise: a non-randomized clinical trial. PLoS One. 2022:17(7):e0265860. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Voss MW, Erickson KI, Prakash RS, Chaddock L, Kim JS, Alves H, Szabo A, Phillips SM, Wójcicki TR, Mailey EL, et al. Neurobiological markers of exercise-related brain plasticity in older adults. Brain Behav Immun. 2013:28:90–99. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wang Y, Moeller S, Li X, Vu AT, Krasileva K, Ugurbil K, Yacoub E, Wang DJ. Simultaneous multi-slice turbo-FLASH imaging with CAIPIRINHA for whole brain distortion-free pseudo-continuous arterial spin Labeling at 3 and 7T. NeuroImage. 2015:113:279–288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ward JL, Craig JC, Liu Y, Vidoni ED, Maletsky R, Poole DC, Billinger SA. Effect of healthy aging and sex on middle cerebral artery blood velocity dynamics during moderate-intensity exercise. Am J Physiol Heart Circ Physiol. 2018:315(3):H492–H501. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weijs RWJ, Shkredova DA, Brekelmans ACM, Thijssen DHJ, Claassen JAHR. Longitudinal changes in cerebral blood flow and their relation with cognitive decline in patients with dementia: current knowledge and future directions. Alzheimers Dement. 2022:1–17. [DOI] [PubMed] [Google Scholar]
- Weintraub S, Dikmen SS, Heaton RK, Tulsky DS, Zelazo PD, Bauer PJ, Carlozzi NE, Slotkin J, Blitz D, Wallner-Allen K, et al. Cognition assessment using the NIH toolbox. Neurology. 2013:80(Issue 11, Supplement 3):S54–S64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Weston ME, Koep JL, Lester AB, Barker AR, Bond B. The acute effect of exercise intensity on peripheral and cerebral vascular function in healthy adults. J Appl Physiol (1985). 2022:133(2):461–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Whitaker AA, Vidoni ED, Aaron SE, Rouse AG, Billinger SA. Novel application of a force sensor during sit-to-stands to measure dynamic cerebral autoregulation onset. Physiol Rep. 2022:10(7):e15244. [DOI] [PMC free article] [PubMed] [Google Scholar]
- White D, John CS, Kucera A, Truver B, Lepping RJ, Kueck PJ, Lee P, Martin L, Billinger SA, Burns JM, et al. A methodology for an acute exercise clinical trial called dementia risk and dynamic response to exercise. Sci Rep. 2021:11(1):12776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Whiteman AS, Young DE, He X, Chen TC, Wagenaar RC, Stern CE, Schon K. Interaction between serum BDNF and aerobic fitness predicts recognition memory in healthy young adults. Behav Brain Res. 2014:259:302–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolters FJ, Zonneveld HI, Hofman A, Lugt A, Koudstaal PJ, Vernooij MW, Ikram MA, Heart-Brain Connection Collaborative Research Group . Cerebral perfusion and the risk of dementia: a population-based study. Circulation. 2017:136(8):719–728. [DOI] [PubMed] [Google Scholar]
- Xie L, Dolui S, Das SR, Stockbower GE, Daffner M, Rao H, Yushkevich PA, Detre JA, Wolk DA. A brain stress test: cerebral perfusion during memory encoding in mild cognitive impairment. Neuroimage Clin. 2016:11:388–397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Xing C-Y, Tarumi T, Liu J, Zhang Y, Turner M, Riley J, Tinajero CD, Yuan L-J, Zhang R. Distribution of cardiac output to the brain across the adult lifespan. J Cereb Blood Flow Metab. 2017:37(8):2848–2856. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yan L, Wang S, Zhuo Y, Wolf RL, Stiefel MF, An J, Ye Y, Zhang Q, Melhem ER, Wang DJJ. Unenhanced dynamic MR angiography: high spatial and temporal resolution by using true FISP-based spin tagging with alternating radiofrequency. Radiology. 2010:256(1):270–279. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang D, Lu Y, Zhao X, Zhang Q, Li L. Aerobic exercise attenuates neurodegeneration and promotes functional recovery—why it matters for Neurorehabilitation & Neural Repair. Neurochem Int. 2020:141:104862. [DOI] [PubMed] [Google Scholar]