Synopsis
Although there is a
general relationship between age and brain function, habitual physical
activity levels may also impact on brain health. We performed a MR study
involving low and moderate intensity supine exercise in healthy young and older
subjects.
We assess the effect of exercise on CBF response in large arteries, regional
perfusion and BOLD, and the relationship of grey matter volume with physical
fitness and ageing. On exercise there was a clear CBF, perfusion and BOLD
response to exercise in young volunteers, whilst a reduced CBF, perfusion and
BOLD response to exercise was found in the older volunteers.Purpose
Physical inactivity is linked to poor health and
disease progression, particularly in older people. This has led to research
focus on physical activity, ageing and brain structure and function
relationships. Importantly, negative health traits generally attributed to ageing, (frailty, cognitive decline, brain atrophy), may in part result from decreased
habitual physical activity levels, and be preventable with increased exercise. Using Transcranial Doppler
Ultrasound (TCD) it has been shown that the
increase in cerebral perfusion during submaximal and maximal exercise is lower
in older volunteers than young
1-4, although brain O
2
uptake is similar
4. However, a critical issue for TCD
2,3 is the extent to
which blood velocity reflects cerebral blood flow (CBF) and that values are not
corrected for grey matter (GM) volume. Further, studies have suggested that
higher cardiorespiratory fitness levels are associated with greater GM volume
5.
Aim
Here, in healthy young and older volunteers, we
assess MR measures of (1) CBF response in large arteries to low/moderate
intensity steady-state exercise; (2) regional perfusion and BOLD response to low/moderate
intensity steady-state exercise; (3) GM volume and the relationship with cardiorespiratory
fitness and ageing.
Method
12 male subjects were recruited to healthy,
young (N=5, 22-27 years, BMI 24±2) and healthy, older (N=7, 70-74 years, BMI
24.4±2.1) groups.
VO2max: Subjects underwent
a continuous, incremental supine exercise test to determine maximal oxygen
consumption (VO2max) using a MR compatible cycle ergometer (Lode B.V, Netherlands) and an on-line gas analysis system (Cosmed, Italy).
Exercise task: MR data was
acquired at baseline and during 10min of steady-state exercise inside the scanner at workloads of 30% and 50% VO2max, and heart-rate
was measured throughout. For the older group, data was also acquired during a 10min
recovery period (Fig.1A).
MR
acquisition: Data was acquired on a
Philips Achieva 3T MR scanner using a 32-channel receive coil. Sagittal and
coronal 2D PC-MRA data was acquired to locate the left (L)/right (R) internal
carotid arteries (ICA) and basilar artery (BA). At baseline and each workload,
blood flow (velocity and flux) in the L/R ICA and BA was measured using a
vector-cardiogram (VCG) gated, 2D PC-MRA (TE/TR=6.5/15ms, FA=25°, FOV=280x77mm2,
0.75x0.75x6mm3 reconstructed, SENSE4, vENC=0 and 100
cm/s, NSA=2, duration=1min25s). For regional perfusion and BOLD data, a DABS
sequence6 was used to acquire simultaneous perfusion and BOLD data
(GE-EPI at TE=13ms/40ms for ASL and BOLD respectively), 10 slices of in-plane
resolution 3x3mm, slice thickness 8mm, post-label delay (TI)=1550ms, TR=2600ms
per label/control, duration~5min. Following the exercise protocol, a T1-weighted
MPRAGE image was acquired to estimate GM volume.
Data
analysis: PCA data was analysed using
Q-Flow (Philips) for vessel area, velocity and flux in the L/R ICA and BA. Flux
measures were summed to estimate ‘Total CBF’. DABS data were separated into
BOLD and ASL time-series. BOLD data was motion corrected (FSL, fMRIB, Oxford)
and motion parameters applied to ASL images. Perfusion weighted images were
formed from subtraction of label and control data. BOLD data was analysed using
FEAT (FSL) to identify brain areas associated with the exercise task (GLM
analysis, FDR corrected Z>3.89). Image segmentation and GM volume
analysis normalized for subject head size was performed on the MPRAGE images
using SIENAX (FSL).
Results
Steady-state heart-rate increased with
workload, but the increase was less in older versus younger volunteers
(Fig.1B), as was the absolute maximum exercise workload achieved (114±17 vs.
162±20W).
PCA
data: Fig.2A shows GM corrected total CBF at rest and with
exercise for both younger and older subjects and Fig.2B shows the corresponding
% change in CBF from baseline.
BOLD/CBF data: Fig.3 shows the perfusion change in grey matter as
measured by ASL. Young subjects exhibited a clear BOLD response to exercise
(6.9±2.1%,
30% VO2max; 9.5±3.8%, 50% VO2max), however no consistent BOLD response was found in older
volunteers (3 older subjects removed due to motion artefacts). Fig.4 shows GM
volume versus VO2max.
Discussion
At rest, there was no difference in GM corrected CBF
when comparing age groups. On exercise there was a clear CBF, perfusion and
BOLD response in young subjects, whilst a markedly blunted CBF and perfusion
response was found in older subjects at the same relative exercise workloads.
No clear BOLD response was found in older subjects, possibly due to the reduced
change in CBF on exercise inhibiting a BOLD change. GM volume was positively correlated
with cardiorespiratory fitness (r=0.78), however a greater range of VO
2max
values is required to moderate the effects of age.
Exercise manifests clear deficits in brain vascular responses in older
volunteers compared to young, which may be a function of reduced habitual
physical activity levels.
Acknowledgements
AH
holds a MRC-ARUK Centre for Musculoskeletal Ageing Research studentshipReferences
[1] Ide K & Secher NH, Prog Neurobiol 61,
397–414, 2000. [2] Sato et al. J Physiol 589, 2847-2856, 2011. [3] Kim YS et al. Physiol
Rep 6, e12430, 2015. [4] Fisher JP et al. J Physiol 591,1859-70, 2013. [5] Erickson KI et al. Neurobiol
of aging 35, 20-28, 2014. [6] Wesolowski et al. Proc. ISMRM, 2009.