Abstract
Aging is characterized by a decline in cognitive functions, particularly in the domains of executive function, processing speed and episodic memory. These age-related declines are exacerbated by cardiovascular disease (CVD) and cardiovascular risk factors (hypertension, diabetes, obesity, elevated total cholesterol). Structural and functional alterations in brain regions, including the fronto-parietal and medial temporal lobes, have been linked to age- and CVD-related cognitive decline. Multiple recent studies indicate that aerobic exercise programs may slow the progression of age-related neural changes and reduce the risk for mild cognitive impairment as well as dementia. We review age- and CVD-related decline in cognition and the underlying changes in brain morphology and function, and then clarify the impact of aerobic exercise on moderating these patterns.
Keywords: Aging, Cardiovascular disease, Exercise, Physical activity, Cardiorespiratory fitness, Aerobic fitness, Memory, Declarative memory, Episodic memory, Executive functions, Cognitive control, Attention, Processing speed, MRI, fMRI, Diffusion tensor imaging
Introduction
The older adult population is growing rapidly and it is projected that approximately 20 % of the US population will be greater than 65 years old by the year 2030 [1, 2]. The escalating demographics of population aging are particularly notable with respect to healthcare implications. Aging increases susceptibility to health-related illnesses and places burdens on seniors in terms of their quality of life and independence [3, 4], as well as on families, caregivers and healthcare systems in terms of the costs and liabilities associated with an aging population. In particular, an estimated 40.5 % of the US population is projected to have some form of cardiovascular disease (CVD) by the year 2030, with disproportionate prevalence in the population aged 65 years and older [4]. CVD is associated with loss of functional independence and an estimated $315.4 billion in total costs [3, 4]. The consequences of CVD will indeed increase as the population of older adults continues to rise.
Neurocognitive sequelae are associated with CVD and may partially underpin poor outcomes and high costs associated with CVD. CVD is an identified risk factor for vascular dementia and Alzheimer's disease [5–7], and mild cognitive impairment can also be found in persons with CVD prior to dementia onset. These findings and the forecasted increase in the older adult population underscore the need to identify modifiable factors that maintain brain health and cognitive function and prolong independence, thereby reducing caregiver burden and healthcare costs.
Cardiorespiratory fitness (CRF) is one factor that has been suggested to benefit cognition and neural integrity in older adult and CVD populations. CRF is the ability of the circulatory and respiratory systems to supply oxygen to skeletal muscles during sustained physical activity. CRF declines with age and reductions are typically exacerbated by CVD, with effects including diminished brain perfusion as well as systemic physiological changes such as inflammation, oxidative stress, changes in gene expression [8]. However, CRF can also be improved by aerobic exercise and such benefits yield physiological benefits that translate to better cardiovascular and neurocognitive outcomes.
Cognitive and Neural Decline in Aging and CVD
Evidence for age-related cognitive decline is extensive. The cognitive domains most sensitive to aging include executive functions such as planning, inhibition, task switching, maintenance and manipulation of information [9, 10••, 11], processing speed [12] as well as episodic memory (i.e., memory of previous events) [13–15].
Age-related cognitive decline is exacerbated by CVD as well as cardiovascular risk factors (e.g., hypertension, diabetes, obesity, elevated total cholesterol). Impairments in attention, executive function, and processing speed are common in CVD populations [16–21]. Reduced episodic memory performance is also typically found in CVD [21–24]. Data from cross-sectional studies are reinforced by longitudinal analyses showing accelerated cognitive decline in CVD within the domains of executive function and episodic memory [25–29].
Cognitive changes associated with aging and CVD are underpinned by alterations in neural structure and function. With normal aging, neural reductions in gray and white matter volume [30–32], white matter microstructure [33, 34] and alterations in neural functional activity [35–37] are well documented, with the medial temporal lobes and frontoparietal regions most susceptible to age-related decline. Notably, age-related changes in the medial temporal lobes and fronto-parietal regions have been linked to performance on tasks requiring executive function and episodic memory [9, 38•, 39].
CVD-related neural changes are similar to those observed in aging. CVD has also been associated with structural and functional alterations in the fronto-parietal and medial temporal lobe regions, including reduced brain volume [40–42], decreased white matter integrity [43, 44], reductions in cerebral blood flow [45, 46] and altered fMRI activity in the hippocampus, cingulate gyrus and fronto-parietal regions during memory [47, 48] and executive function tasks [49–52]. Structural and functional brain alterations associated with aging and CVD induce predictable cognitive impairments such as deficits in episodic memory and executive dysfunction [53–55].
Aging and CVD most profoundly impact executive function, processing speed and episodic memory as well as brain regions that mediate these mental abilities, including frontoparietal regions and the medial temporal lobes. Aerobic exercise represents a behavioral intervention that may alter the trajectory of age- and CVD-related cognitive and neural decline. Below we review existing evidence that demonstrates the positive impact of aerobic exercise on cognition and the brain in aging and CVD populations.
Impact of Aerobic Exercise on Cognitive Function
Aging
A landmark meta-analysis elucidated the positive impact of aerobic exercise on cognitive function in older adults [56]. The results highlight the utility of aerobic training in improving performance in multiple cognitive domains [e.g., processing speed (simple response time tasks, finger tapping), spatial processing (mental transformation of figures or memory for spatial information)] with effects that are largest for tasks requiring executive functions (e.g., planning, inhibition). A more recent meta-analysis further supports the beneficial effects of aerobic exercise on cognition, as aerobic exercise training is positively associated with performance on tasks requiring attention and processing speed, executive functions and episodic memory [57] (see [58]), although the reported effect sizes were similar across cognitive domains [57].
The positive impact of aerobic exercise training has recently been extended to frail older adults [59]. Frail older adults exhibited improvements in measures of processing speed, executive functions and working memory following completion of a 12-week (1-hour session, 3 days/week) aerobic exercise training program relative to a wait-list control group. This preliminary evidence suggests that the benefits of aerobic exercise on cognitive function generalize to older, frail populations.
Cardiovascular Disease
Poor physical fitness accompanies CVD [60] due to limits induced in part by abnormal cardiovascular physiology, but also due to sedentary behaviors that compound exercise limitations [61, 62]. Reduced fitness exacerbates negative outcomes in CVD patients (e.g., premature death). Cognitive impairments are also worse in sedentary CVD patients [63–65] and likely compound CVD risks. For example, reduced fitness has been associated with impaired performance on tasks reflecting attention, executive function and episodic memory in patients with CVD [65].
Fortunately, exercise training is an integral treatment component in the management of CVD [66, 67]. In fact, exercise training is a key component of cardiac rehabilitation, a standard of CVD management. However, in addition to the acknowledged benefits of exercise training on cardiovascular parameters, the exercise benefits on cognitive gains in CVD are less well promulgated [68]. In multiple analyses of 12- to 18-week structured exercise (provided as cardiac rehabilitation programming) among heterogeneous CVD patients, exercise programs were associated with improved performance on tasks of attention, executive function, psychomotor speed and episodic memory [68–70]. Improvements in global cognition, attention and executive functions have also been observed among post-stroke survivors with high sample rates of CVD six months after combined aerobic and resistance exercise training [71]. Furthermore, there is evidence that cognitive gains in attention, executive function and memory are maintained nine months after the completion of a 12-week cardiac rehabilitation program [72•], raising the possibility that exercise may attenuate accelerated cognitive decline and perhaps even reduce risk of dementia among CVD patients. Other studies suggest that even daily physical activity in persons with CVD may lead to better cognitive function [73, 74].
Aerobic Exercise and Cognition Summary
Overall, the extant evidence suggests that exercise confers cognitive benefits that may offset the insidious declines associated with aging and CVD. Cognitive gains achieved with exercise training are most prominent in the domains sensitive to the adverse effects of aging and/or CVD, including executive functions, processing speed and episodic memory. Given these cognitive domains are critical for optimal performance of daily living activities, exercise may serve as one potential behavioral intervention that can preserve functional independence via attenuation of age- and disease-related cognitive decline.
Impact of Aerobic Exercise on Neural Structure and Function
Aging
Prominent literature now centers on the use of MRI and other imaging techniques to assess the neurological mechanisms underlying cognition. We reviewed the literature and found seven studies that used an aerobic exercise intervention and pre- and post-intervention MRI in older adults (see Table 1). All studies used walking (with varying duration and intensity levels) as the primary type of exercise training in at least one study group, targeting enhanced CRF as the main training effect. In each study sedentary subjects (e.g., not more than two bouts of physical activity >30 min in the previous six months) were recruited on the assumption that improvements in CRF associated with aerobic exercise intervention would be most prominent in respect to baseline sedentary behaviors and presumably in respect to the most prominent neurologic changes as well.
Table 1.
Exercise intervention studies examining the relationship between cardiorespiratory fitness (CRF) and the brain. CON = control group; DTI = diffusion tensor imaging; Func = functional study; fMRI = functional Magnetic Resonance Imaging; INVN = intervention group; ROI = regions of interest; Struct = structural study; T1 = T1-weighted imaging
Author | Year | Study Focus | Imaging Type | Analysis | Fitness Measure | # of Subjects (# females) | Mean Age (years) |
---|---|---|---|---|---|---|---|
Colcombe et al. | 2006 | Aging | Struct (T1) | Whole Brain | VO2 peak | 59 | 66 |
Erickson et al. | 2011 | Aging | Struct (T1) | ROI | VO2 max | 120 | 55-80 |
Ruscheweyh et al. | 2011 | Aging | Struct (T1) | Whole Brain | Ergometer test, questionnaire, lactate step test | 62 (43) | 60 |
Voss et al. | 2012 | Aging | Struct (DTI) | ROI | Composite score: VO2 max, Rockport 1 mile walk | 70 (45) | 65 |
Colcombe et al. | 2004 | Aging | Func (fMRI) | Flanker Task (Executive Function) | VO2 peak | 29 | 58-77 |
Voelcker-Rehage et al. | 2011 | Aging | Func (fMRI) | Flanker Task (Executive Function) | Composite score: VO2 peak, action speed, reaction speed, & balance | 44 (28) | 70 |
Voss et al. | 2010 | Aging | Func (fMRI) | Passive Viewing Task | VO2 max | CON: 35 INVN: 30 |
65 67 |
Anazodo et al. | 2013 | CVD | Struct (T1) | ROI | VO2 max | CON: 21 (10) INVN: 39 (11) |
59 59 |
*Kooistra et al. | 2014 | CVD | Struct (T1; FLAIR) | Whole brain; visual assessment | Metabolic Equivalents via physical activity questionnaire | 1,232 (246) | 59 |
Longitudinal study that did not implement formal exercise training.
These intervention studies demonstrated that aerobic exercise significantly impacted brain structure. In one study, increased volume of the anterior cingulate cortex, supplementary motor cortex, right inferior frontal gyrus, left superior temporal gyrus and anterior corpus callosum was reported in the aerobic training group (exercising at up to 70 % of their heart rate reserve; 16.1 % training increase in peak VO2) relative to a non-aerobic stretching control group (5.3 % training increase in peak VO2) [75]. Another study showed that improvements in physical activity (assessed with a questionnaire) that resulted from exercise training over a six-month period were associated with gray matter volume increases in the cingulate gyrus (including the anterior and posterior cingulate cortex), the left superior frontal gyrus, the left medial parietal cortex and regions of the occipital cortex [76]. Likewise, in a study focusing on the medial temporal lobes [77] improvements in CRF were positively associated with hippocampal volume. Aerobically trained older adults demonstrated an approximately 2 % increase in hippocampal volume, whereas a decrease of roughly 1.4 % was observed in the stretching control. These data are particularly striking given that the volumetric increases more than offset the annualized age-related medial temporal lobe volume loss of 1-2 % in this age group [32, 78].
Three intervention studies used functional Magnetic Resonance Imaging (fMRI) to assess the impact of aerobic exercise training on brain function (see Table 1). Colcombe et al. [79] were the first to demonstrate functional brain changes associated with exercise training. Training consisted of a six-month aerobic exercise intervention (walking) with training at up to 70 % of heart rate reserve, and observed a 10.2 % increase in peak VO2 relative to a 2.9 % increase in a stretching control group. They observed increased fMRI activity in lateral fronto-parietal regions and decreased activity in the anterior cingulate cortex (associated with response conflict monitoring) during flanker task performance (a task of executive function) in a group of aerobically-trained older adults relative to a stretching control group. CRF was also linked to performance on the flanker task.
A recent study [80] replicated Colcombe et al.'s finding of decreased activation in the anterior cingulate cortex subsequent to aerobic training. Additional reductions in activation were prominent in the left middle frontal gyrus, left parahippocampal gyrus and left middle and superior temporal gyrus among the training group, while controls showed increased activation in these same regions following the stretching/relaxation intervention. The authors explained these unexpected findings by suggesting that the decreased prefrontal activation observed in aerobic training reflected “a reduced need for compensation or increased cognitive control.” This explanation highlights one of the primary challenges associated with functional brain imaging; i.e., it is not clear whether increased or decreased activation represents an optimal pattern of neural functioning.
In another study, Voss et al. [81] examined aerobic exercise-associated changes in functional connectivity in multiple neural networks (the default network and two executive control networks: a frontal-insular network and a frontal-parietal network). They examined functional connectivity in older adults during passive viewing tasks at baseline, following six months and following 12 months of aerobic exercise training (walking) or flexibility, toning and balance training. In comparison to non-aerobic training, 12 months of aerobic training led to increased connectivity in medial temporal lobe, parietal and frontal regions including enhanced functional connectivity between parahippocampal gyri and the middle temporal gyrus, the parahippocampal gyri and bilateral inferior parietal cortex, and the left middle frontal gyrus and middle temporal gyri.
Cardiovascular Disease
There is also evidence that exercise promotes neural integrity in adults with CVD. Reduced physical fitness is associated with brain alterations in CVD populations, including reductions of cerebral blood flow [82•], an increase in white matter lesions [83], and a thinner cortex and smaller total and regional (e.g., hippocampus, cingulate gyrus) gray matter volume [83, 84]. These data suggest that exercise may attenuate adverse brain changes in CVD through improvements in physical fitness and subsequent cerebrovascular benefits, particularly increased cerebral perfusion [82•, 85, 86].
According to our review, only one study to date has examined the impact of exercise intervention using pre- and post-intervention MRI in older adults with CVD in comparison to a healthy control group [87••]. Brain volume was assessed in this study using voxel-based morphometry in patients with CVD and age-matched controls to elucidate the impact of exercise training on brain structure. Prior to the exercise intervention CVD patients exhibited smaller gray matter volume of the superior, medial and inferior frontal gyrus, superior and inferior parietal gyrus, middle and superior temporal gyrus and the posterior cerebellum relative to controls. Lower peak VO2 was shown to contribute to the reduced gray matter volume in persons with CVD. However, after completion of a six-month cardiovascular rehabilitation intervention, CVD patients exhibited gray matter recovery of the superior frontal gyrus, superior temporal gyrus and posterior cerebellum, in addition to gray matter increases in supplementary motor areas.
Daily physical activity may also promote greater brain volume in persons with CVD. Kooistra et al. [88•] examined the effects of leisure time physical activity on the brain among a large sample of patients with vascular disease (baseline n= 1,232; follow-up n=663). Increased metabolic equivalents at baseline (as assessed by a self-reporting physical activity questionnaire) correlated with larger total brain volume and a trend for smaller ventricular volume and decreased risk of brain infarcts. However, there was no longitudinal association between daily physical activity and brain changes.
Self-reported physical exercise has also been linked with white matter microstructural integrity in a sample of 440 older adults with cerebral small-vessel disease, a disease that is often a manifestation of CVD-related conditions [89•]. Lastly although past work in stroke patients demonstrates post-exercise improvements in functional brain activation [90], to our knowledge there are no fMRI studies to more definitively assess exercise benefits on brain function among stroke patients.
Aerobic Exercise and Neural Integrity Summary
Although there are few exercise training and brain MRI studies in older adults reported to date, there is consistency in the brain regions that benefit from aerobic training [91••]. These regions include the anterior cingulate cortex, lateral prefrontal regions and lateral parietal regions and were evident in both structural and functional MRI studies. A relationship between aerobic exercise and the medial temporal lobes was observed in structural MRI studies, but was less apparent in the fMRI studies. This discrepancy may be attributable to the lack of tasks implemented during the fMRI that would be expected to elicit activation in medial temporal lobe regions.
The number of studies implementing exercise interventions in older CVD patients with pre- and post-exercise intervention MRI remains relatively limited. Nevertheless, when one also considers longitudinal data linking physical activity and the brain in CVD, there is accumulating evidence suggesting physical activity may improve neurocognitive outcomes in this population. Older adults with CVD showed a positive relationship between physical activity and brain regions including frontal and lateral temporal lobes, while those at-risk for CVD exhibited similar associations as well evidence of a positive relationship between physical activity and the medial temporal lobes.
Conclusions
Data linking CRF to cognition in aging and CVD are compelling. The cognitive domains most adversely affected by aging and CVD, including executive functions, processing speed and memory, are the same cognitive functions that benefit from aerobic exercise training. Clinical implications include improved health and well-being, as well as better clinical outcomes. While fewer MRI studies are available to corroborate neural correlations and clarify causal relationships, those that are available reinforce a conclusion that aerobic exercise positively impacts neural structural integrity, with relatively consistent effects in fronto-parietal and lateral temporal regions, as well as the medial temporal lobes (although less evidence is available for older adults with CVD).
While there are multiple studies assessing pre- and post-exercise intervention with brain MRI, these studies have spanned multiple imaging modalities that are sensitive to distinct indicators of neural integrity (T-1 weighted imaging to assess brain volume or gray matter density, diffusion tensor imaging to examine white matter microstructure, and fMRI to examine neural activation). Thus, to date there is minimal evidence for replication and precise neuroanatomical localization of the reported effects, yet there is still is a compelling array of neural effects that have been associated with aerobic exercise or enhanced CRF. For instance, in addition to increases in gray and white matter volume described above, aerobic exercise and enhanced CRF have also been linked to increases in cerebral blood volume and hippocampal neurogenesis [92], cerebral perfusion [93], reductions in white matter hyperintensities [94], enhanced white matter microstructure [95, 96] and enhanced functional connectivity within neural networks that determine executive function and episodic memory [81]. Likewise, animal studies have linked aerobic exercise (wheel-running) to enhanced neurogenesis, synaptogenesis and angiogenesis (formation of new neurons, synapses, and blood vessels, respectively), as well as to growth factors that support these processes (e.g., brain derived neurotrophic factor, vascular endothelial growth factor), often attenuating age-related reductions [97, 98].
Overall, there is a complex neurobiological cascade that underpins associations between aerobic exercise and cognition. Cardiorespiratory benefits span from the cellular level to the systems level and have engendered substantial enthusiasm to further assess benefits of aerobic training to attenuate age-and CVD-related cognitive decline (although the specific mechanisms remain unclear). The clinical value of aerobic exercise to mitigate age- and CVD-related decline is appealing for a variety of reasons. For example, aerobic activities (walking, jogging, etc.) are inexpensive, convenient and could potentially improve quality of life by delaying cognitive decline and prolonging independent function.
Although this review focused on aerobic exercise, recent reports have indicated that resistance training may positively impact cognitive performance and brain function [99, 100] and suggest that different types of exercise training may impact different cognitive functions and distinct brain regions [101]. Indeed, aerobic activities that rely more heavily on coordination such as ballroom dancing or water aerobics or that also implement strength training may confer additional cognitive and neural benefits. Additional research is needed to clarify issues regarding the impact of specific exercise programs (e.g., strength, aerobic or combined training), dose of exercise (frequency, intensity, duration) and combined training on a range of cognitive functions. Furthermore, while we have focused on the impact of aerobic exercise targeting enhanced CRF, it has also been suggested that simply avoiding sedentary behavior and its deleterious effects may also positively impact cognition and the brain.
Acknowledgments
This work was supported by the Department of Veterans Affairs, Rehabilitation Research & Development Service [Career Development Award e7822w awarded to SMH].
Footnotes
Conflict of Interest Scott M. Hayes, Michael L. Alosco, and Daniel E. Forman declare that they have no conflict of interest.
Compliance with Ethics Guidelines: Human and Animal Rights and Informed Consent This article does not contain any studies with human or animal subjects performed by any of the authors.
Contributor Information
Scott M. Hayes, Email: smhayes@bu.edu, Memory Disorders Research Center (151A), VA Boston Healthcare System and Boston University School of Medicine, 150 South Huntington Ave, Boston, MA 02130, USA; Neuroimaging Research for Veterans Center, VA Boston Healthcare System, Boston, MA, USA.
Michael L. Alosco, Memory Disorders Research Center (151A), VA Boston Healthcare System and Boston University School of Medicine, 150 South Huntington Ave, Boston, MA 02130, USA; Department of Psychological Sciences, Kent State University, Kent, OH, USA
Daniel E. Forman, Geriatric Research, Education, and Clinical Center, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA; Geriatric Cardiology Section, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
References
Papers of particular interest, published recently, have been highlighted as:
• Of importance
•• Of major importance
- 1.Centers for Disease Control and Prevention. The State of Aging and Health in America 2013. Centers for Disease Control and Prevention, US Dept of Health and Human Services; 2013. [Google Scholar]
- 2.Forman DE, Rich MW, Alexander KP, Zieman S, Maurer MS, Najjar SS, et al. Cardiac care for older adults. Time for a new paradigm. J Am Coll Cardiol. 2011;57:1801–10. doi: 10.1016/j.jacc.2011.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Blaha MJ, et al. Heart disease and stroke statistics–2014 update: a report from the American Heart Association. Circulation. 2014;129:e28–292. doi: 10.1161/01.cir.0000441139.02102.80. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123:933–44. doi: 10.1161/CIR.0b013e31820a55f5. [DOI] [PubMed] [Google Scholar]
- 5.Qiu C, Winblad B, Marengoni A, Klarin I, Fastbom J, Fratiglioni L. Heart failure and risk of dementia and Alzheimer disease: a population-based cohort study. Arch Intern Med. 2006;166:1003–8. doi: 10.1001/archinte.166.9.1003. [DOI] [PubMed] [Google Scholar]
- 6.Hjelm C, Brostrom A, Dahl A, Johansson B, Fredrikson M, Stromberg A. Factors associated with increased risk for dementia in individuals age 80 years or older with congestive heart failure. J Cardiovasc Nurs. 2014;29:82–90. doi: 10.1097/JCN.0b013e318275543d. [DOI] [PubMed] [Google Scholar]
- 7.Rusanen M, Kivipelto M, Levalahti E, Laatikainen T, Tuomilehto J, Soininen H, et al. Heart diseases and long-term risk of dementia and Alzheimer's disease: a population-based CAIDE study. J Alzheimers Dis JAD. 2014;42(1):183–91. doi: 10.3233/JAD-132363. [DOI] [PubMed] [Google Scholar]
- 8.Sattelmair JR, Pertman JH, Forman DE. Effects of physical activity on cardiovascular and noncardiovascular outcomes in older adults. Clin Geriatr Med. 2009;25:677–702. viii–ix. doi: 10.1016/j.cger.2009.07.004. [DOI] [PubMed] [Google Scholar]
- 9.Kennedy KM, Raz N. Aging white matter and cognition: differential effects of regional variations in diffusion properties on memory, executive functions, and speed. Neuropsychologia. 2009;47:916–27. doi: 10.1016/j.neuropsychologia.2009.01.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10••.Goh JO, An Y, Resnick SM. Differential trajectories of age-related changes in components of executive and memory processes. Psychol Aging. 2012;27:707–19. doi: 10.1037/a0026715. This study examined both cross-sectional and longitudinal changes in components of executive function and memory. The findings highlight the heterogenity of age-related cognitive changes, as well as differences between cross-sectional and longitudinal approaches. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Head D, Kennedy KM, Rodrigue KM, Raz N. Age differences in perseveration: cognitive and neuroanatomical mediators of performance on the Wisconsin Card Sorting Test. Neuropsychologia. 2009;47:1200–3. doi: 10.1016/j.neuropsychologia.2009.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Salthouse TA. The processing-speed theory of adult age differences in cognition. Psychol Rev. 1996;103:403–28. doi: 10.1037/0033-295x.103.3.403. [DOI] [PubMed] [Google Scholar]
- 13.Naveh-Benjamin M. Adult age differences in memory performance: tests of an associative deficit hypothesis. J Exp Psychol Learn Mem Cogn. 2000;26:1170–87. doi: 10.1037//0278-7393.26.5.1170. [DOI] [PubMed] [Google Scholar]
- 14.Bender AR, Naveh-Benjamin M, Raz N. Associative deficit in recognition memory in a lifespan sample of healthy adults. Psychol Aging. 2010;25:940–8. doi: 10.1037/a0020595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Anderson ND, Ebert PL, Jennings JM, Grady CL, Cabeza R, Graham SJ. Recollection- and familiarity-based memory in healthy aging and amnestic mild cognitive impairment. Neuropsychology. 2008;22:177–87. doi: 10.1037/0894-4105.22.2.177. [DOI] [PubMed] [Google Scholar]
- 16.Cohen RA, Poppas A, Forman DE, Hoth KF, Haley AP, Gunstad J, et al. Vascular and cognitive functions associated with cardiovascular disease in the elderly. J Clin Exp Neuropsychol. 2009;31:96–110. doi: 10.1080/13803390802014594. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.O'Brien JT, Erkinjuntti T, Reisberg B, Roman G, Sawada T, Pantoni L, et al. Vascular cognitive impairment. Lancet Neurol. 2003;2:89–98. doi: 10.1016/s1474-4422(03)00305-3. [DOI] [PubMed] [Google Scholar]
- 18.Roberts RO, Knopman DS, Przybelski SA, Mielke MM, Kantarci K, Preboske GM, et al. Association of type 2 diabetes with brain atrophy and cognitive impairment. Neurology. 2014;82:1132–41. doi: 10.1212/WNL.0000000000000269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Saxton J, Ratcliff G, Newman A, Belle S, Fried L, Yee J, et al. Cognitive test performance and presence of subclinical cardiovascular disease in the cardiovascular health study. Neuroepidemiology. 2000;19:312–9. doi: 10.1159/000026270. [DOI] [PubMed] [Google Scholar]
- 20.van Eersel ME, Joosten H, Gansevoort RT, Dullaart RP, Slaets JP, Izaks GJ. The interaction of age and type 2 diabetes on executive function and memory in persons aged 35 years or older. PLoS One. 2013;8:e82991. doi: 10.1371/journal.pone.0082991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Yaffe K, Vittinghoff E, Pletcher MJ, Hoang TD, Launer LJ, Whitmer R, et al. Early adult to midlife cardiovascular risk factors and cognitive function. Circulation. 2014;129:1560–7. doi: 10.1161/CIRCULATIONAHA.113.004798. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Almeida OP, Garrido GJ, Beer C, Lautenschlager NT, Arnolda L, Flicker L. Cognitive and brain changes associated with ischaemic heart disease and heart failure. Eur Heart J. 2012;33:1769–76. doi: 10.1093/eurheartj/ehr467. [DOI] [PubMed] [Google Scholar]
- 23.Pressler SJ, Subramanian U, Kareken D, Perkins SM, Gradus-Pizlo I, Sauve MJ, et al. Cognitive deficits in chronic heart failure. Nurs Res. 2010;59:127–39. doi: 10.1097/NNR.0b013e3181d1a747. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Stefansdottir H, Arnar DO, Aspelund T, Sigurdsson S, Jonsdottir MK, Hjaltason H, et al. Atrial fibrillation is associated with reduced brain volume and cognitive function independent of cerebral infarcts. Stroke J Cereb Circ. 2013;44:1020–5. doi: 10.1161/STROKEAHA.12.679381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dregan A, Stewart R, Gulliford MC. Cardiovascular risk factors and cognitive decline in adults aged 50 and over: a population-based cohort study. Age Ageing. 2013;42:338–45. doi: 10.1093/ageing/afs166. [DOI] [PubMed] [Google Scholar]
- 26.Kooistra M, Geerlings MI, van der Graaf Y, Mali WP, Vincken KL, Kappelle LJ, et al. Vascular brain lesions, brain atrophy, and cognitive decline. The Second Manifestations of ARTerial disease–Magnetic Resonance (SMART-MR) study. Neurobiol Aging. 2014;35:35–41. doi: 10.1016/j.neurobiolaging.2013.07.004. [DOI] [PubMed] [Google Scholar]
- 27.Okonkwo OC, Cohen RA, Gunstad J, Tremont G, Alosco ML, Poppas A. Longitudinal trajectories of cognitive decline among older adults with cardiovascular disease. Cerebrovasc Dis. 2010;30:362–73. doi: 10.1159/000319564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Thacker EL, McKnight B, Psaty BM, Longstreth WT, Jr, Sitlani CM, Dublin S, et al. Atrial fibrillation and cognitive decline: a longitudinal cohort study. Neurology. 2013;81:119–25. doi: 10.1212/WNL.0b013e31829a33d1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Zheng L, Mack WJ, Chui HC, Heflin L, Mungas D, Reed B, et al. Coronary artery disease is associated with cognitive decline independent of changes on magnetic resonance imaging in cognitively normal elderly adults. J Am Geriatr Soc. 2012;60:499–504. doi: 10.1111/j.1532-5415.2011.03839.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Walhovd KB, Westlye LT, Amlien I, Espeseth T, Reinvang I, Raz N, et al. Consistent neuroanatomical age-related volume differences across multiple samples. Neurobiol Aging. 2011;32:916–32. doi: 10.1016/j.neurobiolaging.2009.05.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Salat DH, Greve DN, Pacheco JL, Quinn BT, Helmer KG, Buckner RL, et al. Regional white matter volume differences in nondemented aging and Alzheimer's disease. Neuroimage. 2009;44:1247–58. doi: 10.1016/j.neuroimage.2008.10.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Raz N, Lindenberger U, Rodrigue KM, Kennedy KM, Head D, Williamson A, et al. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cereb Cortex. 2005;15:1676–89. doi: 10.1093/cercor/bhi044. [DOI] [PubMed] [Google Scholar]
- 33.O'Sullivan M, Jones DK, Summers PE, Morris RG, Williams SCR, Markus HS. Evidence for cortical “disconnection” as a mechanism of age-related cognitive decline. Neurology. 2001;57:632–8. doi: 10.1212/wnl.57.4.632. [DOI] [PubMed] [Google Scholar]
- 34.Salat DH, Tuch DS, Greve DN, van der Kouwe AJW, Hevelone ND, Zaleta AK, et al. Age-related alterations in white matter microstructure measured by diffusion tensor imaging. Neurobiol Aging. 2005;26:1215–27. doi: 10.1016/j.neurobiolaging.2004.09.017. [DOI] [PubMed] [Google Scholar]
- 35.Dennis NA, Kim H, Cabeza R. Age-related differences in brain activity during true and false memory retrieval. J Cogn Neurosci. 2008;20:1390–402. doi: 10.1162/jocn.2008.20096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Ritchey M, Bessette-Symons B, Hayes SM, Cabeza R. Emotion processing in the aging brain is modulated by semantic elaboration. Neuropsychologia. 2011;49:640–50. doi: 10.1016/j.neuropsychologia.2010.09.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Dulas MR, Duarte A. Aging affects the interaction between attentional control and source memory: an fMRI study. J Cogn Neurosci. 2014 doi: 10.1162/jocn_a_00663. [DOI] [PubMed] [Google Scholar]
- 38•.Daselaar SM, Iyengar V, Davis SW, Eklund K, Hayes SM, Cabeza RE. Less wiring, more firing: low-performing older adults compensate for impaired white matter with greater neural activity. Cereb Cortex. 2013 doi: 10.1093/cercor/bht289. This study integrated cognitive testing, functional MRI, and diffusion tensor imaging to delineate individual differences in cognitive and neural aging White matter integrity was negatively correlated with fMRI activity, suggesting there may be functional compensation in the face of structrual deterioration. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Rodrigue KM, Raz N. Shrinkage of the entorhinal cortex over five years predicts memory performance in healthy adults. J Neurosci. 2004;24:956–63. doi: 10.1523/JNEUROSCI.4166-03.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Almeida OP, Garrido GJ, Etherton-Beer C, Lautenschlager NT, Arnolda L, Alfonso H, et al. Brain and mood changes over 2 years in healthy controls and adults with heart failure and ischaemic heart disease. Eur J Heart Fail. 2013;15:850–8. doi: 10.1093/eurjhf/hft029. [DOI] [PubMed] [Google Scholar]
- 41.Kumar R, Woo MA, Birrer BV, Macey PM, Fonarow GC, Hamilton MA, et al. Mammillary bodies and fornix fibers are injured in heart failure. Neurobiol Dis. 2009;33:236–42. doi: 10.1016/j.nbd.2008.10.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Pan A, Kumar R, Macey PM, Fonarow GC, Harper RM, Woo MA. Visual assessment of brain magnetic resonance imaging detects injury to cognitive regulatory sites in patients with heart failure. J Card Fail. 2013;19:94–100. doi: 10.1016/j.cardfail.2012.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kumar R, Woo MA, Macey PM, Fonarow GC, Hamilton MA, Harper RM. Brain axonal and myelin evaluation in heart failure. J Neurol Sci. 2011;307:106–13. doi: 10.1016/j.jns.2011.04.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Woo MA, Kumar R, Macey PM, Fonarow GC, Harper RM. Brain injury in autonomic, emotional, and cognitive regulatory areas in patients with heart failure. J Card Fail. 2009;15:214–23. doi: 10.1016/j.cardfail.2008.10.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Beason-Held LL, Thambisetty M, Deib G, Sojkova J, Landman BA, Zonderman AB, et al. Baseline cardiovascular risk predicts subsequent changes in resting brain function. Stroke J Cereb Circ. 2012;43:1542–7. doi: 10.1161/STROKEAHA.111.638437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Gruhn N, Larsen FS, Boesgaard S, Knudsen GM, Mortensen SA, Thomsen G, et al. Cerebral blood flow in patients with chronic heart failure before and after heart transplantation. Stroke J Cereb Circ. 2001;32:2530–3. doi: 10.1161/hs1101.098360. [DOI] [PubMed] [Google Scholar]
- 47.Braskie MN, Small GW, Bookheimer SY. Vascular health risks and fMRI activation during a memory task in older adults. Neurobiol Aging. 2010;31:1532–42. doi: 10.1016/j.neurobiolaging.2008.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Haley AP, Eagan DE, Gonzales MM, Biney FO, Cooper RA. Functional magnetic resonance imaging of working memory reveals frontal hypoactivation in middle-aged adults with cognitive complaints. J Int Neuropsychol Soc JINS. 2011;17:915–24. doi: 10.1017/S1355617711000956. [DOI] [PubMed] [Google Scholar]
- 49.Chuang YF, Eldreth D, Erickson KI, Varma V, Harris G, Fried LP, et al. Cardiovascular risks and brain function: a functional magnetic resonance imaging study of executive function in older adults. Neurobiol Aging. 2014;35:1396–403. doi: 10.1016/j.neurobiolaging.2013.12.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Hoth KF, Gonzales MM, Tarumi T, Miles SC, Tanaka H, Haley AP. Functional MR imaging evidence of altered functional activation in metabolic syndrome. AJNR Am J Neuroradiol. 2011;32:541–7. doi: 10.3174/ajnr.A2315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Li C, Zheng J, Wang J. An fMRI study of prefrontal cortical function in subcortical ischemic vascular cognitive impairment. Am J Alzheimers Dis Dementias. 2012;27:490–5. doi: 10.1177/1533317512455841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Li C, Zheng J, Wang J, Gui L. Comparison between Alzheimer's disease and subcortical vascular dementia: attentional cortex study in functional magnetic resonance imaging. J Int Med Res. 2011;39:1413–9. doi: 10.1177/147323001103900428. [DOI] [PubMed] [Google Scholar]
- 53.Alosco ML, Brickman AM, Spitznagel MB, Garcia SL, Narkhede A, Griffith EY, et al. Cerebral perfusion is associated with white matter hyperintensities in older adults with heart failure. Congestive Heart Fail. 2013;19:E29–34. doi: 10.1111/chf.12025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Alosco ML, Gunstad J, Jerskey BA, Xu X, Clark US, Hassenstab J, et al. The adverse effects of reduced cerebral perfusion on cognition and brain structure in older adults with cardiovascular disease. Brain Behav. 2013;3:626–36. doi: 10.1002/brb3.171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Vogels RL, Oosterman JM, van Harten B, Gouw AA, Schroeder-Tanka JM, Scheltens P, et al. Neuroimaging and correlates of cognitive function among patients with heart failure. Dement Geriatr Cogn Disord. 2007;24:418–23. doi: 10.1159/000109811. [DOI] [PubMed] [Google Scholar]
- 56.Colcombe S, Kramer AF. Fitness effects on the cognitive function of older adults: a meta-analytic study. Psychol Sci. 2003;14:125–30. doi: 10.1111/1467-9280.t01-1-01430. [DOI] [PubMed] [Google Scholar]
- 57.Smith PJ, Blumenthal JA, Hoffman BM, Cooper H, Strauman TA, Welsh-Bohmer K, et al. Aerobic exercise and neurocognitive performance: a meta-analytic review of randomized controlled trials. Psychosom Med. 2010;72:239–52. doi: 10.1097/PSY.0b013e3181d14633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Etnier JL, Nowell PM, Landers DM, Sibley BA. A meta-regression to examine the relationship between aerobic fitness and cognitive performance. Brain Res Rev. 2006;52:119–30. doi: 10.1016/j.brainresrev.2006.01.002. [DOI] [PubMed] [Google Scholar]
- 59.Langlois F, Vu TT, Chasse K, Dupuis G, Kergoat MJ, Bherer L. Benefits of physical exercise training on cognition and quality of life in frail older adults. J Gerontol B Psychol Sci Soc Sci. 2013;68:400–4. doi: 10.1093/geronb/gbs069. [DOI] [PubMed] [Google Scholar]
- 60.Scardovi AB, De Maria R, Celestini A, Perna S, Coletta C, Feola M, et al. Additive prognostic value of cardiopulmonary exercise testing in elderly patients with heart failure. Clin Sci. 2009;116:415–22. doi: 10.1042/CS20080111. [DOI] [PubMed] [Google Scholar]
- 61.Alosco ML, Spitznagel MB, Miller L, Raz N, Cohen R, Sweet LH, et al. Depression is associated with reduced physical activity in persons with heart failure. Health Psychol Off J Div Health Psychol Am Psychol Assoc. 2012;31:754–62. doi: 10.1037/a0028711. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Conraads VM, Deaton C, Piotrowicz E, Santaularia N, Tierney S, Piepoli MF, et al. Adherence of heart failure patients to exercise: barriers and possible solutions: a position statement of the Study Group on Exercise Training in Heart Failure of the Heart Failure Association of the European Society of Cardiology. Eur J Heart Fail. 2012;14:451–8. doi: 10.1093/eurjhf/hfs048. [DOI] [PubMed] [Google Scholar]
- 63.Lee YH, Yoon ES, Park SH, Heffernan KS, Lee C, Jae SY. Associations of arterial stiffness and cognitive function with physical fitness in patients with chronic stroke. J Rehabil Med. 2014;46:413–7. doi: 10.2340/16501977-1790. [DOI] [PubMed] [Google Scholar]
- 64.Swardfager W, Herrmann N, Marzolini S, Saleem M, Kiss A, Shammi P, et al. Cardiopulmonary fitness is associated with cognitive performance in patients with coronary artery disease. J Am Geriatr Soc. 2010;58:1519–25. doi: 10.1111/j.1532-5415.2010.02966.x. [DOI] [PubMed] [Google Scholar]
- 65.Garcia S, Alosco ML, Spitznagel MB, Cohen R, Raz N, Sweet L, et al. Cardiovascular fitness associated with cognitive performance in heart failure patients enrolled in cardiac rehabilitation. BMC Cardiovasc Disord. 2013;13:29. doi: 10.1186/1471-2261-13-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Thompson RH, Leibovich BC, Lohse CM, Zincke H, Blute ML. Complications of contemporary open nephron sparing surgery: a single institution experience. J Urol. 2005;174:855–8. doi: 10.1097/01.ju.0000169453.29706.42. [DOI] [PubMed] [Google Scholar]
- 67.Van Laethem C, Van De Veire N, De Backer G, Bihija S, Seghers T, Cambier D, et al. Response of the oxygen uptake efficiency slope to exercise training in patients with chronic heart failure. Eur J Heart Fail. 2007;9:625–9. doi: 10.1016/j.ejheart.2007.01.007. [DOI] [PubMed] [Google Scholar]
- 68.Stanek KM, Gunstad J, Spitznagel MB, Waechter D, Hughes JW, Luyster F, et al. Improvements in cognitive function following cardiac rehabilitation for older adults with cardiovascular disease. Int J Neurosci. 2011;121:86–93. doi: 10.3109/00207454.2010.531893. [DOI] [PubMed] [Google Scholar]
- 69.Gunstad J, Macgregor KL, Paul RH, Poppas A, Jefferson AL, Todaro JF, et al. Cardiac rehabilitation improves cognitive performance in older adults with cardiovascular disease. J Cardpulm Rehabil. 2005;25:173–6. doi: 10.1097/00008483-200505000-00009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Tanne D, Freimark D, Poreh A, Merzeliak O, Bruck B, Schwammenthal Y, et al. Cognitive functions in severe congestive heart failure before and after an exercise training program. Int J Cardiol. 2005;103:145–9. doi: 10.1016/j.ijcard.2004.08.044. [DOI] [PubMed] [Google Scholar]
- 71.Marzolini S, Oh P, McIlroy W, Brooks D. The effects of an aerobic and resistance exercise training program on cognition following stroke. Neurorehabil Neural Repair. 2013;27:392–402. doi: 10.1177/1545968312465192. [DOI] [PubMed] [Google Scholar]
- 72•.Alosco ML, Spitznagel MB, Cohen R, Sweet LH, Josephson R, Hughes J, Gunstad J. Decreases in BMI after cardiac rehabilitation predict improved cognitive function in older adults with heart failure. J Am Geriatr Soc. 2014 doi: 10.1111/jgs.13123. This study found significant improvements in attention/executive function and memory following 12-weeks of cardic rehabilitation among 50 patients with heart failure. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Erickson KI, Raji CA, Lopez OL, Becker JT, Rosano C, Newman AB, et al. Physical activity predicts gray matter volume in late adulthood: the Cardiovascular Health Study. Neurology. 2010;75:1415–22. doi: 10.1212/WNL.0b013e3181f88359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Fulcher KK, Alosco ML, Miller L, Spitznagel MB, Cohen R, Raz N, Sweet L, Colbert LH, Josephson R, Hughes J, et al. Greater physical activity is associated with better cognitive function in heart failure. Health Psychol Off J Div Health Psychol Am Psychol Assoc. 2014 doi: 10.1037/hea0000039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Colcombe SJ, Erickson KI, Scalf PE, Kim JS, Prakash R, McAuley E, et al. Aerobic exercise training increases brain volume in aging humans. J Gerontol Ser A Biol Sci Med Sci. 2006;61:1166–70. doi: 10.1093/gerona/61.11.1166. [DOI] [PubMed] [Google Scholar]
- 76.Ruscheweyh R, Willemer C, Kruger K, Duning T, Warnecke T, Sommer J, et al. Physical activity and memory functions: an interventional study. Neurobiol Aging. 2011;32:1304–19. doi: 10.1016/j.neurobiolaging.2009.08.001. [DOI] [PubMed] [Google Scholar]
- 77.Erickson KI, Voss MW, Prakash RS, Basak C, Szabo A, Chaddock L, et al. Exercise training increases size of hippocampus and improves memory. Proc Natl Acad Sci U S A. 2011;108:3017–22. doi: 10.1073/pnas.1015950108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Raz N, Rodrigue KM, Head D, Kennedy KM, Acker JD. Differential aging of the medial temporal lobe - A study of a five-year change. Neurology. 2004;62:433–8. doi: 10.1212/01.wnl.0000106466.09835.46. [DOI] [PubMed] [Google Scholar]
- 79.Colcombe SJ, Kramer AF, Erickson KI, Scalf P, McAuley E, Cohen NJ, et al. Cardiovascular fitness, cortical plasticity, and aging. Proc Natl Acad Sci U S A. 2004;101:3316–21. doi: 10.1073/pnas.0400266101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Voelcker-Rehage C, Godde B, Staudinger UM. Cardiovascular and coordination training differentially improve cognitive performance and neural processing in older adults. Front Hum Neurosci. 2011;5 doi: 10.3389/fnhum.2011.00026. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Voss MW, Prakash RS, Erickson KI, Basak C, Chaddock L, Kim JS, Alves H, Heo S, Szabo AN, White SM, et al. Plasticity of brain networks in a randomized intervention trial of exercise training in older adults. Front Aging Neurosci. 2010;2 doi: 10.3389/fnagi.2010.00032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82•.MacIntosh BJ, Swardfager W, Crane DE, Ranepura N, Saleem M, Oh PI, et al. Cardiopulmonary fitness correlates with regional cerebral grey matter perfusion and density in men with coronary artery disease. PLoS One. 2014;9:e91251. doi: 10.1371/journal.pone.0091251. This study found a significant association between VO2 peak and cerebral perfusion and gray matter density in patients with coronary artery disease. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Sen A, Gider P, Cavalieri M, Freudenberger P, Farzi A, Schallert M, et al. Association of cardiorespiratory fitness and morphological brain changes in the elderly: results of the Austrian Stroke Prevention Study. Neurodegener Dis. 2012;10:135–7. doi: 10.1159/000334760. [DOI] [PubMed] [Google Scholar]
- 84.Alosco ML, Brickman AM, Spitznagel MB, Griffith EY, Narkhede A, Raz N, et al. Poorer physical fitness is associated with reduced structural brain integrity in heart failure. J Neurol Sci. 2013;328:51–7. doi: 10.1016/j.jns.2013.02.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Hambrecht R, Fiehn E, Weigl C, Gielen S, Hamann C, Kaiser R, et al. Regular physical exercise corrects endothelial dysfunction and improves exercise capacity in patients with chronic heart failure. Circulation. 1998;98:2709–15. doi: 10.1161/01.cir.98.24.2709. [DOI] [PubMed] [Google Scholar]
- 86.Murrell CJ, Cotter JD, Thomas KN, Lucas SJ, Williams MJ, Ainslie PN. Cerebral blood flow and cerebrovascular reactivity at rest and during sub-maximal exercise: effect of age and 12-week exercise training. Age. 2013;35:905–20. doi: 10.1007/s11357-012-9414-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87••.Anazodo UC, Shoemaker JK, Suskin N, St Lawrence KS. An investigation of changes in regional gray matter volume in cardiovascular disease patients, pre and post cardiovascular rehabilitation. NeuroImage Clin. 2013;3:388–95. doi: 10.1016/j.nicl.2013.09.011. This case-controlled study showed that baseline gray matter volume reductions in patients with cardiovascular disease recovered six-months after cardiovascular rehabilitation. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88•.Kooistra M, Boss HM, van der Graaf Y, Kappelle LJ, Biessels GJ, Geerlings MI, et al. Physical activity, structural brain changes and cognitive decline. The SMART-MR study. Atherosclerosis. 2014;234:47–53. doi: 10.1016/j.atherosclerosis.2014.02.003. Findings from this study revealed greater self-reported physical activity at baseline was associated with larger total brain volume, as well as a trend for smaller ventricular volume and decreased risk for brain infarcts among a sample of 1,232 participants with vascular disease. [DOI] [PubMed] [Google Scholar]
- 89•.Gons RA, Tuladhar AM, de Laat KF, van Norden AG, van Dijk EJ, Norris DG, et al. Physical activity is related to the structural integrity of cerebral white matter. Neurology. 2013;81:971–6. doi: 10.1212/WNL.0b013e3182a43e33. This study demonstrated that greater levels of self-reported physical activity were associated with enhanced white matter integrity among a sample of 440 individuals with cerebral small vessel disease. [DOI] [PubMed] [Google Scholar]
- 90.Luft AR, Macko RF, Forrester LW, Villagra F, Ivey F, Sorkin JD, et al. Treadmill exercise activates subcortical neural networks and improves walking after stroke: a randomized controlled trial. Stroke J Cereb Circ. 2008;39:3341–50. doi: 10.1161/STROKEAHA.108.527531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91••.Hayes SM, Hayes JP, Cadden M, Verfaellie M. A review of cardiorespiratory fitness-related neuroplasticity in the aging brain. Front Aging Neurosci. 2013;5:31. doi: 10.3389/fnagi.2013.00031. This comprehensive review summarizes the literature examining cardiorespiratory fitness-related changes in neural structure and function in healthy older adults. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Pereira AC, Huddleston DE, Brickman AM, Sosunov AA, Hen R, McKhann GM, et al. An in vivo correlate of exercise-induced neurogenesis in the adult dentate gyrus. Proc Natl Acad Sci U S A. 2007;104:5638–43. doi: 10.1073/pnas.0611721104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Chapman SB, Aslan S, Spence JS, Defina LF, Keebler MW, Didehbani N, et al. Shorter term aerobic exercise improves brain, cognition, and cardiovascular fitness in aging. Front Aging Neurosci. 2013;5:75. doi: 10.3389/fnagi.2013.00075. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Tseng BY, Gundapuneedi T, Khan MA, Diaz-Arrastia R, Levine BD, Lu H, et al. White matter integrity in physically fit older adults. Neuroimage. 2013;82:510–6. doi: 10.1016/j.neuroimage.2013.06.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Johnson NF, Kim C, Clasey JL, Bailey A, Gold BT. Cardiorespiratory fitness is positively correlated with cerebral white matter integrity in healthy seniors. Neuroimage. 2012;59:1514–23. doi: 10.1016/j.neuroimage.2011.08.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Voss MW, Heo S, Prakash RS, Erickson KI, Alves H, Chaddock L, et al. The influence of aerobic fitness on cerebral white matter integrity and cognitive function in older adults: results of a one-year exercise intervention. Hum Brain Mapp. 2012;34(11):2972–85. doi: 10.1002/hbm.22119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Cotman CW, Berchtold NC, Christie LA. Exercise builds brain health: key roles of growth factor cascades and inflammation. Trends Neurosci. 2007;30:464–72. doi: 10.1016/j.tins.2007.06.011. [DOI] [PubMed] [Google Scholar]
- 98.van Praag H. Exercise and the brain: something to chew on. Trends Neurosci. 2009;32:283–90. doi: 10.1016/j.tins.2008.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Nagamatsu LS, Handy TC, Hsu CL, Voss M, Liu-Ambrose T. Resistance training promotes cognitive and functional brain plasticity in seniors with probable mild cognitive impairment. Arch Intern Med. 2012;172:666–8. doi: 10.1001/archinternmed.2012.379. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Liu-Ambrose T, Nagamatsu LS, Voss MW, Khan KM, Handy TC. Resistance training and functional plasticity of the aging brain: a 12-month randomized controlled trial. Neurobiol Aging. 2012;33:1690–8. doi: 10.1016/j.neurobiolaging.2011.05.010. [DOI] [PubMed] [Google Scholar]
- 101.Voelcker-Rehage C, Niemann C. Structural and functional brain changes related to different types of physical activity across the life span. Neurosci Biobehav Rev. 2013;37(9 Pt B):2268–95. doi: 10.1016/j.neubiorev.2013.01.028. [DOI] [PubMed] [Google Scholar]