Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network

In general, the Hurst exponent. is used as a measure of long-term memory of time series. In previous neuroimaging studies, H has been introduced as one important parameter to define resting-state networks, reflecting upon global scale-free properties emerging from a network. H has been examined in t...

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Main Authors: Susanne Neufang, Atae Akhrif
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2020.00827/full
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spelling doaj-a838560009f54cd29efa95c121ed668e2020-11-25T03:23:37ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-07-011110.3389/fphys.2020.00827542882Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity NetworkSusanne Neufang0Susanne Neufang1Atae Akhrif2Atae Akhrif3Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, GermanyComparative Psychology, Institute of Experimental Psychology, Heinrich-Heine University, Düsseldorf, GermanyComparative Psychology, Institute of Experimental Psychology, Heinrich-Heine University, Düsseldorf, GermanyCenter of Mental Health, Department of Child and Adolescent Psychiatry, University of Würzburg, Würzburg, GermanyIn general, the Hurst exponent. is used as a measure of long-term memory of time series. In previous neuroimaging studies, H has been introduced as one important parameter to define resting-state networks, reflecting upon global scale-free properties emerging from a network. H has been examined in the waiting impulsivity (WI) network in an earlier study. We found that alterations of H in the anterior cingulate cortex (HACC) and the nucleus accumbens (HNAcc) were lower in high impulsive (highIMP) compared to low impulsive (lowIMP) participants. Following up on those findings, we addressed the relation between altered fractality in HACC and HNAcc and brain activation and neural network connectivity. To do so, brain activation maps were calculated, and network connectivity was determined using the Dynamic Causal Modeling (DCM) approach. Finally, 1–H scores were determined to quantify the alterations of H. This way, the focus of the analyses was placed on the potential effects of alterations of H on neural network activation and connectivity. Correlation analyses between the alterations of HACC/HNAcc and activation maps and DCM estimates were performed. We found that the alterations of H predominantly correlated with fronto-hippocampal pathways and correlations were significant only in highIMP subjects. For example, alterations of HACC was associated with a decrease in neural activation in the right HC in combination with increased ACC-hippocampal connectivity. Alteration inHNAcc, in return, was related to an increase in bilateral prefrontal activation in combination with increased fronto-hippocampal connectivity. The findings, that the WI network was related to H alteration in highIMP subjects indicated that impulse control was not reduced per se but lacked consistency. Additionally, H has been used to describe long-term memory processes before, e.g., in capital markets, energy future prices, and human memory. Thus, current findings supported the relation of H toward memory processing even when further prominent cognitive functions were involved.https://www.frontiersin.org/article/10.3389/fphys.2020.00827/fullHurst exponentfMRIneural network connectivityimpulsivityfronto-hippocampal pathways
collection DOAJ
language English
format Article
sources DOAJ
author Susanne Neufang
Susanne Neufang
Atae Akhrif
Atae Akhrif
spellingShingle Susanne Neufang
Susanne Neufang
Atae Akhrif
Atae Akhrif
Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
Frontiers in Physiology
Hurst exponent
fMRI
neural network connectivity
impulsivity
fronto-hippocampal pathways
author_facet Susanne Neufang
Susanne Neufang
Atae Akhrif
Atae Akhrif
author_sort Susanne Neufang
title Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
title_short Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
title_full Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
title_fullStr Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
title_full_unstemmed Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
title_sort regional hurst exponent reflects impulsivity-related alterations in fronto-hippocampal pathways within the waiting impulsivity network
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2020-07-01
description In general, the Hurst exponent. is used as a measure of long-term memory of time series. In previous neuroimaging studies, H has been introduced as one important parameter to define resting-state networks, reflecting upon global scale-free properties emerging from a network. H has been examined in the waiting impulsivity (WI) network in an earlier study. We found that alterations of H in the anterior cingulate cortex (HACC) and the nucleus accumbens (HNAcc) were lower in high impulsive (highIMP) compared to low impulsive (lowIMP) participants. Following up on those findings, we addressed the relation between altered fractality in HACC and HNAcc and brain activation and neural network connectivity. To do so, brain activation maps were calculated, and network connectivity was determined using the Dynamic Causal Modeling (DCM) approach. Finally, 1–H scores were determined to quantify the alterations of H. This way, the focus of the analyses was placed on the potential effects of alterations of H on neural network activation and connectivity. Correlation analyses between the alterations of HACC/HNAcc and activation maps and DCM estimates were performed. We found that the alterations of H predominantly correlated with fronto-hippocampal pathways and correlations were significant only in highIMP subjects. For example, alterations of HACC was associated with a decrease in neural activation in the right HC in combination with increased ACC-hippocampal connectivity. Alteration inHNAcc, in return, was related to an increase in bilateral prefrontal activation in combination with increased fronto-hippocampal connectivity. The findings, that the WI network was related to H alteration in highIMP subjects indicated that impulse control was not reduced per se but lacked consistency. Additionally, H has been used to describe long-term memory processes before, e.g., in capital markets, energy future prices, and human memory. Thus, current findings supported the relation of H toward memory processing even when further prominent cognitive functions were involved.
topic Hurst exponent
fMRI
neural network connectivity
impulsivity
fronto-hippocampal pathways
url https://www.frontiersin.org/article/10.3389/fphys.2020.00827/full
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