Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm.
The human brain is known to contain several functional networks that interact dynamically. Therefore, it is desirable to analyze the temporal features of these networks by dynamic functional connectivity (dFC). A sliding window approach was used in an event-related fMRI (visual stimulation using che...
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doaj-8daaf0ccb89242e38ccb4ea8837b7d882020-11-25T01:33:44ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01131e019048010.1371/journal.pone.0190480Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm.Ashish Kaul SahibMichael ErbJustus MarquetandPascal MartinAdham ElshahabiSilke KlamerSerge VulliemozKlaus SchefflerThomas EthoferNiels K FockeThe human brain is known to contain several functional networks that interact dynamically. Therefore, it is desirable to analyze the temporal features of these networks by dynamic functional connectivity (dFC). A sliding window approach was used in an event-related fMRI (visual stimulation using checkerboards) to assess the impact of repetition time (TR) and window size on the temporal features of BOLD dFC. In addition, we also examined the spatial distribution of dFC and tested the feasibility of this approach for the analysis of interictal epileptiforme discharges. 15 healthy controls (visual stimulation paradigm) and three patients with epilepsy (EEG-fMRI) were measured with EPI-fMRI. We calculated the functional connectivity degree (FCD) by determining the total number of connections of a given voxel above a predefined threshold based on Pearson correlation. FCD could capture hemodynamic changes relative to stimulus onset in controls. A significant effect of TR and window size was observed on FCD estimates. At a conventional TR of 2.6 s, FCD values were marginal compared to FCD values using sub-seconds TRs achievable with multiband (MB) fMRI. Concerning window sizes, a specific maximum of FCD values (inverted u-shape behavior) was found for each TR, indicating a limit to the possible gain in FCD for increasing window size. In patients, a dynamic FCD change was found relative to the onset of epileptiform EEG patterns, which was compatible with their clinical semiology. Our findings indicate that dynamic FCD transients are better detectable with sub-second TR than conventional TR. This approach was capable of capturing neuronal connectivity across various regions of the brain, indicating a potential to study the temporal characteristics of interictal epileptiform discharges and seizures in epilepsy patients or other brain diseases with brief events.http://europepmc.org/articles/PMC5777653?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ashish Kaul Sahib Michael Erb Justus Marquetand Pascal Martin Adham Elshahabi Silke Klamer Serge Vulliemoz Klaus Scheffler Thomas Ethofer Niels K Focke |
spellingShingle |
Ashish Kaul Sahib Michael Erb Justus Marquetand Pascal Martin Adham Elshahabi Silke Klamer Serge Vulliemoz Klaus Scheffler Thomas Ethofer Niels K Focke Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. PLoS ONE |
author_facet |
Ashish Kaul Sahib Michael Erb Justus Marquetand Pascal Martin Adham Elshahabi Silke Klamer Serge Vulliemoz Klaus Scheffler Thomas Ethofer Niels K Focke |
author_sort |
Ashish Kaul Sahib |
title |
Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. |
title_short |
Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. |
title_full |
Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. |
title_fullStr |
Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. |
title_full_unstemmed |
Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. |
title_sort |
evaluating the impact of fast-fmri on dynamic functional connectivity in an event-based paradigm. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2018-01-01 |
description |
The human brain is known to contain several functional networks that interact dynamically. Therefore, it is desirable to analyze the temporal features of these networks by dynamic functional connectivity (dFC). A sliding window approach was used in an event-related fMRI (visual stimulation using checkerboards) to assess the impact of repetition time (TR) and window size on the temporal features of BOLD dFC. In addition, we also examined the spatial distribution of dFC and tested the feasibility of this approach for the analysis of interictal epileptiforme discharges. 15 healthy controls (visual stimulation paradigm) and three patients with epilepsy (EEG-fMRI) were measured with EPI-fMRI. We calculated the functional connectivity degree (FCD) by determining the total number of connections of a given voxel above a predefined threshold based on Pearson correlation. FCD could capture hemodynamic changes relative to stimulus onset in controls. A significant effect of TR and window size was observed on FCD estimates. At a conventional TR of 2.6 s, FCD values were marginal compared to FCD values using sub-seconds TRs achievable with multiband (MB) fMRI. Concerning window sizes, a specific maximum of FCD values (inverted u-shape behavior) was found for each TR, indicating a limit to the possible gain in FCD for increasing window size. In patients, a dynamic FCD change was found relative to the onset of epileptiform EEG patterns, which was compatible with their clinical semiology. Our findings indicate that dynamic FCD transients are better detectable with sub-second TR than conventional TR. This approach was capable of capturing neuronal connectivity across various regions of the brain, indicating a potential to study the temporal characteristics of interictal epileptiform discharges and seizures in epilepsy patients or other brain diseases with brief events. |
url |
http://europepmc.org/articles/PMC5777653?pdf=render |
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