Reducing vascular variability of fMRI data across aging populations using a breathholding task

Handwerker, Daniel A.; Gazzaley, Adam; Inglis, Ben; D’Esposito, Mark

doi:10.1002/hbm.20307

Cited by 128 publications

(190 citation statements)

References 53 publications

(63 reference statements)

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“…As has been reported previously (Thomason et al, 2007;Handwerker et al, 2007), the BH response was significantly and positively correlated with the response to the visual activation task, accounting for 23% of the variance. The portion of the response to the visual activation task that was not related to cerebrovascular reactivity was not statistically significantly related to either smoking status or diagnosis.…”

Section: Discussion Of the Relationship Between The Visual Activationsupporting

confidence: 84%

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls

et al. 2008

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Many psychiatric patient groups smoke heavily, but little is known regarding the effects of this habit on functional brain imaging results. The present report assesses the effect of chronic smoking on the blood-oxygen-level-dependent (BOLD) response to a simple visual activation (VA) task and a breath hold (BH) task in patients with schizophrenia. Eight healthy controls and twelve patients with schizophrenia were studied. Half of each group had never smoked and the other half of each group had smoked for more than 10 pack years. Responses to the VA task were assessed in the visual cortex and responses to the BH task were assessed in gray matter generally. There were four fMRI dependent measures: (1) median percent signal change; (2) activation volume (in voxels); (3) time-to-peak of the impulse response function (IRF); and (4) time-to-trough of the IRF. All measures were tested as dependent variables in an ANCOVA with diagnosis and smoking status as crossed factors and age as a covariate. Heavy smokers had 22% larger percent signal change for the VA task and 50% larger percent signal change for the BH task. Patients had a 40% larger percent signal change for the breathhold task. Other statistically significant effects of smoking history on activation volume and the timing of the brain responses were noted. If replicated, the results may have important implications for fMRI studies comparing groups with markedly different smoking habits, such as studies comparing patients with schizophrenia, 60-90% of whom smoke, and healthy controls, who smoke with a much lower frequency.

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Section: Discussion Of the Relationship Between The Visual Activationsupporting

confidence: 84%

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls

et al. 2008

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“…Importantly, we did not find significant correlations between memory performance and fMRI responses during misses in either region (right hippocampus: r ϭ Ϫ0.23, P ϭ 0.36; right superior frontal region: r ϭ Ϫ0.30, P ϭ 0.23). We also examined the hippocampal and prefrontal time courses for evidence of age-related differences in temporal features (16,30). There was a trend in the right superior frontal region (P ϭ 0.06) toward old adults taking longer to peak than young adults.…”

Section: Resultsmentioning

confidence: 99%

Age-related memory impairment associated with loss of parietal deactivation but preserved hippocampal activation

Miller

Celone

DePeau

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

336

319

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The neural underpinnings of age-related memory impairment remain to be fully elucidated. Using a subsequent memory facename functional MRI (fMRI) paradigm, young and old adults showed a similar magnitude and extent of hippocampal activation during successful associative encoding. Young adults demonstrated greater deactivation (task-induced decrease in BOLD signal) in medial parietal regions during successful compared with failed encoding, whereas old adults as a group did not demonstrate a differential pattern of deactivation between trial types. The failure of deactivation was particularly evident in old adults who performed poorly on the memory task. These low-performing old adults demonstrated greater hippocampal and prefrontal activation to achieve successful encoding trials, possibly as a compensatory response. Findings suggest that successful encoding requires the coordination of neural activity in hippocampal, prefrontal, and parietal regions, and that age-related memory impairment may be primarily related to a loss of deactivation in medial parietal regions.aging ͉ fMRI ͉ hippocampus ͉ default network ͉ Alzheimer's disease

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“…The resulting parameter estimations (of cerebral blood flow) permit scaling of task-induced signal changes [27,28] to account for regional vascular differences. Very recently, studies using hypercapnic methods have used breath hold as a hypercapnic stimulus [29,30].…”

Section: Prior Fmri-bold Scaling Methodologiesmentioning

confidence: 99%

“…Assuming that oxygen consumption remains stable during mild hypercapnia [36], hypercapnic stress such as breathing CO 2 or a breath hold task may be used to normalize functional activation by minimizing the contribution from the cerebrovascular component of BOLD signal change [27][28][29][30].…”

Section: Minimization Of Vascular Sensitivity From Neural Responsementioning

confidence: 99%

Hemodynamic scaling of fMRI-BOLD signal: validation of low-frequency spectral amplitude as a scalability factor

Biswal

Kannurpatti²,

Rypma

2007

Magnetic Resonance Imaging

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AbstractfMRI-BOLD signal representing neural activity may be optimized by discriminating MR signal components related to neural activity and those related to intrinsic properties of the cortical vasculature. The objective of this study was to diminish the hemodynamic change independent of neural activity to obtain a scaled fMRI-BOLD response using two factors namely the low frequency spectral amplitude (LFSA) and breath hold amplitude (BHA). Ten subjects (22-38 years of age) were scanned during various task conditions; (a) rest while breathing room air; (b) bilateral finger-tapping breathing room air; (c) rest during a partial inspirational breath hold; and (d) rest during moderate hypercapnia (breathing 5% CO 2 , 20% O 2 , and 75% N 2 ). In all subjects who breathed 5% CO 2 , regions with significant BOLD response during breath hold correlated significantly with the percent signal increase during 5% CO 2 inhalation. Finger tapping-induced responses in the motor cortex were diminished to a similar extent after scaling using either the LFSA or the BHA. Inter and intra-subject variation in the amplitude of the BOLD signal response reduced after hemodynamic scaling using LFSA or BHA. The results validate the hemodynamic amplitude scaling using the LFSA with earlier established BHA. LFSA free from motor task contamination can be used to calibrate the fMRI-BOLD response in lieu of BHA or hypercapnia to minimize intra and inter subject variation arising from vascular anatomy and vasodilative capacity.

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Reducing vascular variability of fMRI data across aging populations using a breathholding task

Cited by 128 publications

References 53 publications

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls

Chronic smoking and the BOLD response to a visual activation task and a breath hold task in patients with schizophrenia and healthy controls

Age-related memory impairment associated with loss of parietal deactivation but preserved hippocampal activation

Hemodynamic scaling of fMRI-BOLD signal: validation of low-frequency spectral amplitude as a scalability factor

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