Time–frequency dynamics of the sum of intra- and extracerebral hemodynamic functional connectivity during resting-state and respiratory challenges assessed by multimodal functional near-infrared spectroscopy

Holper, Lisa; Scholkmann, Felix; Seifritz, Erich

doi:10.1016/j.neuroimage.2015.07.021

Cited by 22 publications

(11 citation statements)

References 106 publications

(123 reference statements)

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“…Although the temporal lag between pulse and RSN fluctuations suggests pulse amplitude fluctuations may drive LFR RSNs’ activity, at this stage, we are not able to demonstrate causality ( Moore and Cao 2008 ). Experimental manipulations of PD pulse and their effect on personality and emotions are needed to establish causality ( Feldman et al 2010 ; Kim et al 2013 ; Holper et al 2015 ; Steinhubl et al 2015 ). Our study was limited to monitoring the peripheral signals only through the PPG and respiratory recordings.…”

Section: Discussionmentioning

confidence: 99%

An Autonomic Network: Synchrony Between Slow Rhythms of Pulse and Brain Resting State Is Associated with Personality and Emotions

2018

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The sympathetic system’s role in modulating vasculature and its influence on emotions and personality led us to test the hypothesis that interactions between brain resting-state networks (RSNs) and pulse amplitude (indexing sympathetic activity) would be associated with emotions and personality. In 203 participants, we characterized RSN spatiotemporal characteristics, and phase–amplitude associations of RSN fluctuations with pulse and respiratory recordings. We found that RSNs are spatially reproducible within participants and were temporally associated with low frequencies (LFs < 0.1 Hz) in physiological signals. LF fluctuations in pulse amplitude were not related to cardiac electrical activity and preceded LF fluctuations in RSNs, while LF respiratory amplitude fluctuations followed LF fluctuations in RSNs. LF phase dispersion (PD) (lack of synchrony) between RSNs and pulse (PDpulse) (not respiratory) correlated with the common variability in measures of personality and emotions, with more synchrony being associated with more positive temperamental characteristics. Voxel-level PDpulse mapping revealed an “autonomic brain network,” including sensory cortices and dorsal attention stream, with significant interactions with peripheral signals. Here, we uncover associations between pulse signal amplitude (presumably of sympathetic origin) and brain resting state, suggesting that interactions between central and autonomic nervous systems are important for characterizing personality and emotions.

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Section: Discussionmentioning

confidence: 99%

An Autonomic Network: Synchrony Between Slow Rhythms of Pulse and Brain Resting State Is Associated with Personality and Emotions

2018

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“…WT analysis of fNIRS signals collected from prefrontal cortex (PFC) of healthy individuals have reported presence of local maxima in cardiac, respiratory, myogenic, and very low frequency (VLF – PaCO 2 or neuronal related activity) bands 29 , 64 – 66 . Alterations in amplitude and frequency of these factors as indicated by WT analysis have been reported in studies investigating healthy aging, stroke, and cerebral infraction 23 , 67 – 69 . However, existing studies have not used WT analysis on measurements taken from cerebral and extracerebral layers or applied the technique to compare evoked versus non-evoked activity or evaluated differences across regions of the PFC.…”

Section: Introductionmentioning

confidence: 86%

Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli

Reddy

İzzetoğlu

Shewokis

et al. 2021

Sci Rep

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Functional near infrared spectroscopy (fNIRS) measurements are confounded by signal components originating from multiple physiological causes, whose activities may vary temporally and spatially (across tissue layers, and regions of the cortex). Furthermore, the stimuli can induce evoked effects, which may lead to over or underestimation of the actual effect of interest. Here, we conducted a temporal, spectral, and spatial analysis of fNIRS signals collected during cognitive and hypercapnic stimuli to characterize effects of functional versus systemic responses. We utilized wavelet analysis to discriminate physiological causes and employed long and short source-detector separation (SDS) channels to differentiate tissue layers. Multi-channel measures were analyzed further to distinguish hemispheric differences. The results highlight cardiac, respiratory, myogenic, and very low frequency (VLF) activities within fNIRS signals. Regardless of stimuli, activity within the VLF band had the largest contribution to the overall signal. The systemic activities dominated the measurements from the short SDS channels during cognitive stimulus, but not hypercapnic stimulus. Importantly, results indicate that characteristics of fNIRS signals vary with type of the stimuli administered as cognitive stimulus elicited variable responses between hemispheres in VLF band and task-evoked temporal effect in VLF, myogenic and respiratory bands, while hypercapnic stimulus induced a global response across both hemispheres.

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“…Quantification of the oxCCO signal demands significant changes in the arterial oxygen saturation to be reliably detected in the cortex. Therefore, two respiratory challenges were chosen as previously described 29 to systemically manipulate cerebral oxygenation via hypo-and hypercapnia, i.e., reduced and increased carbon dioxide in the blood. For the test-retest design, data from each participant were collected in two sessions at the same time of the day separated by one week.…”

Section: Respiratory Challengesmentioning

confidence: 99%

Test–retest reliability of brain mitochondrial cytochrome-c-oxidase assessed by functional near-infrared spectroscopy

Holper

Mann

2018

J. Biomed. Opt.

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Test-retest reliability of brain mitochondrial cytochrome-c-oxidase assessed by functional near-infrared spectroscopy," J.Abstract. Functional near-infrared spectroscopy (fNIRS) is a noninvasive method for measuring in vivo both hemodynamic and mitochondrial metabolic activities in brain cortical structures. Although the test-retest reliability of the hemodynamic measures, such as reflected by oxygenated (HbO 2 ), deoxygenated (HHb) hemoglobin, and the tissue oxygenation index (TOI), has been previously reported to be good to excellent, the reliability of the metabolic signal indexed by oxidized cytochrome-c-oxidase (oxCCO) has not been reported. The present testretest study compared the reliability of the metabolic and hemodynamic signals in 10 healthy participants undergoing hypo-and hypercapnia challenges. The primary reliability measure was the intraclass correlation coefficient (ICC). Results of both hypo-and hypercapnia showed that the oxCCO signal (ICC ¼ 0.876∕0.757) had robust reliability comparable with that of the HbO 2 (ICC ¼ 0.841∕0.801), HHb (ICC ¼ 0.804∕0.571), and TOI (ICC ¼ 0.574∕0.614) signals. These findings show that the oxCCO signal can be assessed by fNIRS with comparable reliability to the hemodynamic measures. We discuss the results in light of current interest in a mitochondrial metabolic marker derived from fNIRS.

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Time–frequency dynamics of the sum of intra- and extracerebral hemodynamic functional connectivity during resting-state and respiratory challenges assessed by multimodal functional near-infrared spectroscopy

Cited by 22 publications

References 106 publications

An Autonomic Network: Synchrony Between Slow Rhythms of Pulse and Brain Resting State Is Associated with Personality and Emotions

An Autonomic Network: Synchrony Between Slow Rhythms of Pulse and Brain Resting State Is Associated with Personality and Emotions

Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli

Test–retest reliability of brain mitochondrial cytochrome-c-oxidase assessed by functional near-infrared spectroscopy

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