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  Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm

Sahib, A., Erb, M., Marquetand, J., Martin, P., Klamer, S., Vulliemoz, S., et al. (2018). Evaluating the impact of fast-fMRI on dynamic functional connectivity in an event-based paradigm. PLoS ONE, 13(1), 1-15. doi:10.1371/journal.pone.0190480.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0001-7D33-A Version Permalink: http://hdl.handle.net/21.11116/0000-0001-8588-F
Genre: Journal Article

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Sahib, AK, Author
Erb, M, Author              
Marquetand, J, Author
Martin, P, Author
Klamer, S, Author
Vulliemoz, S, Author
Scheffler, K1, 2, Author              
Ethofer, T, Author
Focke, NK, Author
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: 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.

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 Dates: 2018-01
 Publication Status: Published online
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 Identifiers: DOI: 10.1371/journal.pone.0190480
eDoc: e0195916
BibTex Citekey: SahibEMMKVSEF2018
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Title: PLoS ONE
Source Genre: Journal
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Pages: - Volume / Issue: 13 (1) Sequence Number: - Start / End Page: 1 - 15 Identifier: -