Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network
Copyright © 2020 Neufang and Akhrif..
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 (H A C C ) and the nucleus accumbens (H N A c c ) 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 H A C C and H N A c c 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 H A C C /H N A c c 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 H A C C was associated with a decrease in neural activation in the right HC in combination with increased ACC-hippocampal connectivity. Alteration inH N A c c , 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.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2020 |
---|---|
Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:11 |
---|---|
Enthalten in: |
Frontiers in physiology - 11(2020) vom: 14., Seite 827 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Neufang, Susanne [VerfasserIn] |
---|
Links: |
---|
Themen: |
FMRI |
---|
Anmerkungen: |
Date Revised 28.09.2020 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.3389/fphys.2020.00827 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM313403406 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM313403406 | ||
003 | DE-627 | ||
005 | 20231225150511.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.3389/fphys.2020.00827 |2 doi | |
028 | 5 | 2 | |a pubmed24n1044.xml |
035 | |a (DE-627)NLM313403406 | ||
035 | |a (NLM)32765298 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Neufang, Susanne |e verfasserin |4 aut | |
245 | 1 | 0 | |a Regional Hurst Exponent Reflects Impulsivity-Related Alterations in Fronto-Hippocampal Pathways Within the Waiting Impulsivity Network |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Revised 28.09.2020 | ||
500 | |a published: Electronic-eCollection | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a Copyright © 2020 Neufang and Akhrif. | ||
520 | |a 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 (H A C C ) and the nucleus accumbens (H N A c c ) 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 H A C C and H N A c c 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 H A C C /H N A c c 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 H A C C was associated with a decrease in neural activation in the right HC in combination with increased ACC-hippocampal connectivity. Alteration inH N A c c , 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 | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Hurst exponent | |
650 | 4 | |a fMRI | |
650 | 4 | |a fronto-hippocampal pathways | |
650 | 4 | |a impulsivity | |
650 | 4 | |a neural network connectivity | |
700 | 1 | |a Akhrif, Atae |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Frontiers in physiology |d 2010 |g 11(2020) vom: 14., Seite 827 |w (DE-627)NLM205532799 |x 1664-042X |7 nnns |
773 | 1 | 8 | |g volume:11 |g year:2020 |g day:14 |g pages:827 |
856 | 4 | 0 | |u http://dx.doi.org/10.3389/fphys.2020.00827 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 11 |j 2020 |b 14 |h 827 |