Investigation Of Interaction Between Physiological Signals And fMRI Dynamic Functional Connectivity Using Independent Component Analysis

Nikolaou, F.; Orphanidou, Christina; Murphy, Kevin; Wise, Richard G.; Mitsis, Georgios D.

doi:10.1109/embc.2018.8512465

Cited by 2 publications

(2 citation statements)

References 25 publications

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“…Important also is the fact that the fMRI BOLD signal is modulated both by neuronal and non-neuronal physiological variability (e.g., heart rate, arterial CO2, respiration). However, the resting-state fluctuations of physiological signals such as CO2, respiration and HR are of small magnitude and therefore not expected to significantly affect neuronal activity per se [62,81]. Different methods are also used to reduce physiological confounds in the BOLD signal which could result in the removal of components reflecting ANS activity.…”

Section: Limitationsmentioning

confidence: 99%

Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review

Matusik¹,

Zhong

Matusik

et al. 2023

JCM

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Direct and indirect links between brain regions and cardiac function have been reported. We performed a systematic literature review to summarize current knowledge regarding the associations of heart rate variability (HRV) and brain region morphology, activity and connectivity involved in autonomic control at rest in healthy subjects. Both positive and negative correlations of cortical thickness and gray matter volumes of brain structures with HRV were observed. The strongest were found for a cluster located within the cingulate cortex. A decline in HRV, as well as cortical thickness with increasing age, especially in the orbitofrontal cortex were noted. When associations of region-specific brain activity with HRV were examined, HRV correlated most strongly with activity in the insula, cingulate cortex, frontal and prefrontal cortices, hippocampus, thalamus, striatum and amygdala. Furthermore, significant correlations, largely positive, between HRV and brain region connectivity (in the amygdala, cingulate cortex and prefrontal cortex) were observed. Notably, right-sided neural structures may be preferentially involved in heart rate and HRV control. However, the evidence for left hemispheric control of cardiac vagal function has also been reported. Our findings provide support for the premise that the brain and the heart are interconnected by both structural and functional networks and indicate complex multi-level interactions. Further studies of brain–heart associations promise to yield insights into their relationship to health and disease.

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Section: Limitationsmentioning

confidence: 99%

Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review

Matusik¹,

Zhong

Matusik

et al. 2023

JCM

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“…This may veil potentially useful clinical information about cerebral hemodynamics in smaller regions or at higher resolutions. For this reason, interest has begun to shift towards magnetic resonance imaging (fMRI) as an alternative approach for assessing cerebral perfusion regulation and hemodynamics [16][17][18]. Using CO2 challenge by increasing inhaled air CO2 composition to 5-8%, CVR measured using blood oxygen level dependent (BOLD) MRI has been shown to be reduced in AD [19].…”

Section: Introductionmentioning

confidence: 99%

Modeling Cerebral Hemodynamics Using BOLD Magnetic Resonance Imaging and its Application in Mild Cognitive Impairment

Henley

Okafor

Hajjar

2020

Preprint

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Objective: This study develops a procedure and related analytical methods for deriving indices of cerebral hemodynamics in the magnetic resonance imaging (MRI) setting using resting state recordings of systemic blood pressure, pulse rate, and end-tidal CO2 synchronized with the MRI image acquisitions of blood oxygenation level dependent (BOLD) data as a measure of cerebral perfusion. Methods: We employed the concept of Principal Dynamic Modes (PDM) to model the effect of three determinants of cerebral perfusion: mean arterial blood pressure (MABP), end-tidal CO2 (PETCO2), and pulse rate (PR). The relation between these signals and the BOLD signal were used respectively to quantify cerebral autoregulation (CA), CO2 vasoreactivity (CVR), and pulse rate reactivity (PRR). Results: Hemodynamic indices were obtained from 129 participants with normal cognition (NC) and mild cognitive impairment (MCI). CA was reduced in MCI compared to NC in the parietal lobe, CVR was reduced in MCI in the occipital and temporal lobes, and PRR was reduced in the frontal, parietal, occipital and temporal lobes. Reduced CVR and PRR were associated with worse cognitive scores including memory and executive function. Conclusion: Employed acquisition and analysis of MRI hemodynamic identified cerebral hemodynamic alterations in MCI, related to PR and ETCO2 changes. Significance: This modeling approach may offer a novel way to clinically assess cerebral hemodynamics during MRI.

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Investigation Of Interaction Between Physiological Signals And fMRI Dynamic Functional Connectivity Using Independent Component Analysis

Cited by 2 publications

References 25 publications

Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review

Neuroimaging Studies of the Neural Correlates of Heart Rate Variability: A Systematic Review

Modeling Cerebral Hemodynamics Using BOLD Magnetic Resonance Imaging and its Application in Mild Cognitive Impairment

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