The association between resting‐state functional magnetic resonance imaging and aortic pulse‐wave velocity in healthy adults

Hussein, Ahmed E.; Matthews, Jacob L.; Syme, Catriona; Macgowan, Christopher K.; MacIntosh, Bradley J.; Shirzadi, Zahra; Pausová, Zdenka; Paus, Tomáš; Chen, Jean

doi:10.1002/hbm.24934

Cited by 24 publications

(30 citation statements)

References 82 publications

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“…Besides the DWMN and DAN, normal aging was associated with RFC increase in the sensorimotor, subcortical network, and para-hippocampal cortex. This has also been reported previously [40, 45, 46, 48, 51, 54] . We didn’t find significant age-related RFC declines in precuneus and specific sub-regions of the hippocampal cortex as reported in previous studies [40, 41] .…”

Section: Discussionsupporting

confidence: 90%

“…This is likely to be the reason why the linear regressions of the RFC metrics with the adult age depict substantial scatters and relative low correlation coefficients. The impact of the potential confounds and pre-processing strategies that can mitigate them have been extensively investigated in the published literature [27–33, 45, 46] . Here we focus on comparing our findings in the context of documented literature results, particularly the adult age effect in the DMN, dorsal attention network (DAN), sensorimotor network and subcortical brain regions.…”

Section: Discussionmentioning

confidence: 99%

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A Quantitative Data-Driven Analysis (QDA) Framework for Resting-state fMRI: a Study of the Impact of Adult Age

Fischer

Manzouri

et al. 2021

Preprint

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Purpose: The objective of this study is to introduce a new quantitative data-driven analysis (QDA) framework for the analysis of resting-state fMRI (R-fMRI) and use it to investigate the effect of adult age on resting-state functional connectivity (RFC). Methods: Whole-brain R-fMRI measurements were conducted on a 3T clinical MRI scanner in 227 healthy adult volunteers (N=227, aged 18-74 years old, male/female=99/128). With the proposed QDA framework we derived two types of voxel-wise RFC metrics: the connectivity strength index (CSI) and connectivity density index (CDI) utilizing the convolutions of the cross-correlation (CC) histogram with different kernels. Furthermore, we assessed the negative and positive portions of these metrics separately. Results: With the QDA framework we found age-related declines of RFC metrics in the superior and middle frontal gyrus (MFG), posterior cingulate cortex (PCC), right insula and inferior parietal lobule (IPL) of the default mode network (DMN), which resembles previously reported results using other types of RFC data processing methods. Our new findings complement previously undocumented results in the following aspects: 1) the PCC and right insula are anti-correlated and tend to manifest simultaneously declines of both the negative and positive connectivity strength with age; 2) separate assessment of the negative and positive RFC metrics provides enhanced sensitivity to the aging effect; 3) the sensorimotor network depicts enhanced negative connectivity strength with the adult age. Conclusion: The proposed QDA framework can produce threshold-free, voxel-wise analysis of R-fMRI data the RFC metrics. The detected adult age effect is largely consistent with previously reported studies using different analysis approaches for R-fMRI data. Moreover, the separate assessment of the negative and positive contributions to the RFC metrics can enhance the RFC sensitivity and clarify some of the mixed results in the literature regarding to the DMN and sensorimotor network involvement in aging.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

A Quantitative Data-Driven Analysis (QDA) Framework for Resting-state fMRI: a Study of the Impact of Adult Age

Fischer

Manzouri

et al. 2021

Preprint

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“…The blood oxygen level-dependent (BOLD) signal in functional MRI (fMRI) has mainly been used to measure very low frequency (VLF) hemodynamic responses to neuronal activity oscillations. However, the BOLD signal is also an indicator of basic underlying vascular and respiratory factors in the brain 19 – 23 . Recent research has indicated an elevated variability in the BOLD signal, i.e.…”

Section: Introductionmentioning

confidence: 99%

The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies

Tuovinen

Kananen

Rajna

et al. 2020

Sci Rep

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Biomarkers sensitive to prodromal or early pathophysiological changes in Alzheimer’s disease (AD) symptoms could improve disease detection and enable timely interventions. Changes in brain hemodynamics may be associated with the main clinical AD symptoms. To test this possibility, we measured the variability of blood oxygen level-dependent (BOLD) signal in individuals from three independent datasets (totaling 80 AD patients and 90 controls). We detected a replicable increase in brain BOLD signal variability in the AD populations, which constituted a robust biomarker for clearly differentiating AD cases from controls. Fast BOLD scans showed that the elevated BOLD signal variability in AD arises mainly from cardiovascular brain pulsations. Manifesting in abnormal cerebral perfusion and cerebrospinal fluid convection, present observation presents a mechanism explaining earlier observations of impaired glymphatic clearance associated with AD in humans.

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“…Fourth, it needs to be further explored if the observed VRF-related changes in RSFC reflect changes in blood flow, changes in neuronal activity or both. 68 Fifth, levels of cerebral AD-related PET biomarkers were low to moderate in our relatively young cohort and the sample size was limited, therefore, associations of Ab and tau with longitudinal RSFC may have been harder to detect.…”

Section: Discussionmentioning

confidence: 84%

Vascular burden is associated with a decline in default-mode and global resting-state functional connectivity in individuals at risk for Alzheimer’s disease

Köbe

Binette

Vogel

et al. 2020

Preprint

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Introduction.Cross-sectional studies suggest that cardiovascular risk factors and Alzheimer's disease (AD) biomarkers are associated with abnormal brain resting-state functional connectivity in aging and AD; however, evidence is missing regarding longitudinal changes in functional connectivity. In this study, we investigate whether cholesterol levels and blood pressure are associated with changes in functional connectivity over time in asymptomatic individuals at risk for AD. The analyses were repeated with cerebral β-amyloid (Ab) and tau deposition in a subset of the participants. Methods. The study sample included 247 cognitively unimpaired individuals (185 women/ 62 men; mean [SD] age of 63 [5.3] years) of the PREVENT-AD cohort with a parental or multiplesibling history of sporadic AD. Plasma total-, HDL-, and LDL-cholesterol and systolic and diastolic blood pressure were measured at baseline. Global brain functional connectivity, and connectivity from canonical functional networks, were computed from resting-state functional MRI obtained at baseline and up to four years of annual follow-ups, using a predefined functional parcellation. A subset of participants underwent tau-PET ([ 18 F]Flortaucipir) and Aβ-PET ([ 18 F]NAV4694). Vascular and AD measures were examined as predictors of brain functional connectivity changes in linear mixed-effects models. Results. Higher total-cholesterol and LDL-cholesterol levels were associated with greater reduction of functional connectivity in the default-mode network over time. In addition, while overall whole-brain functional connectivity showed an increase over time across the entire sample higher diastolic blood pressure was associated with reduction in whole-brain functional connectivity. The associations were similar when the analyses were repeated using two other functional brain parcellations. The findings with total-cholesterol and diastolic blood pressure were also similar but attenuated when performed in a subsample of participants with PET (n=91), whereas AD biomarkers were not associated with changes in functional connectivity over time in this subsample. Conclusion. These findings provide evidence that vascular burden is associated with a decrease in brain functional connectivity over time in older adults with elevated risk for AD. The impact of vascular risk factors on functional brain changes might precede AD pathology-related changes.

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The association between resting‐state functional magnetic resonance imaging and aortic pulse‐wave velocity in healthy adults

Cited by 24 publications

References 82 publications

A Quantitative Data-Driven Analysis (QDA) Framework for Resting-state fMRI: a Study of the Impact of Adult Age

A Quantitative Data-Driven Analysis (QDA) Framework for Resting-state fMRI: a Study of the Impact of Adult Age

The variability of functional MRI brain signal increases in Alzheimer's disease at cardiorespiratory frequencies

Vascular burden is associated with a decline in default-mode and global resting-state functional connectivity in individuals at risk for Alzheimer’s disease

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