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Intrinsic functional architecture predicts electrically evoked responses in the human brain

2011; Frontiers Media; Volume: 5; Linguagem: Inglês

10.3389/conf.fninf.2011.08.00124

1662-5196

Mehta Ashesh,

Neural dynamics and brain function

Event Abstract Back to Event Intrinsic functional architecture predicts electrically evoked responses in the human brain Corey Keller1*, Stephan Bickel2, Laszlo Entz3, Fred Lado4, Istvan Ulbert3, Clare Kelly5, Michael Milham5 and Ashesh Mehta2 1 Albert Einstein College of Medicine, United States 2 North Shore LIJ Health System, United States 3 Institute for Psychology of the Hungarian Academy of Sciences, Hungary 4 Montefiore Medical Center, Department of Neurology, United States 5 New York University Child Study Center, United States Introduction: Functional MRI studies carried out during rest (R-fMRI) suggest that this architecture is represented in low frequency (< 0.1Hz) spontaneous fluctuations in the blood oxygen level-dependent (BOLD) signal that are correlated within spatially distributed networks of brain areas . These networks, collectively referred to as the brain’s intrinsic functional architecture, exhibit a remarkable correspondence with patterns of task-evoked co-activation as well as maps of anatomical connectivity. Despite this striking correspondence, there is no direct evidence that this intrinsic architecture forms the scaffold that gives rise to faster processes relevant to information processing and seizure spread. Here, we demonstrate that the spatial distribution and magnitude of temporally correlated low-frequency fluctuations observed with fMRI during rest predict the pattern and magnitude of cortico-cortical evoked potentials (CCEPs) elicited within 500 milliseconds after single-pulse electrical stimulation of the cerebral cortex with intracranial electrodes . Methods: 6 patients with medically-intractable epilepsy underwent intracranial electrode implantation for monitoring of epileptic activity. Pre-operatively, patients performed rfMRI scanning. Post-implantation, single pulse electrical stimulation was performed at adjacent electrode sites and cortico-cortical evoked potentials (CCEP) were measured. Subdural electrodes were localized to the underlying anatomical structures by co-registering the pre-operative MRI and post-operative CT. Seeds were placed over electrode locations where single pulse stimulation was performed and resting state functional connectivity (RSFC) z-values were calculated at electrode sites where CCEPs were measured. The correlation of these modalities was then determined by comparing CCEPs and RSFC values. Results: The correlation between all CCEPs and RSFCs in each subject was significant (P<0.05). Across individuals, this relationship was found to be independent of the specific regions and functional systems probed. Positive RSFC values were shown to be tightly correlated with CCEPs (6/6 subjects; P<0.01), but negative RSFC values (anti-correlated regions) failed to show a significant difference to those RSFC values centered around zero. Discussion: Here we demonstrate that the spatial pattern and magnitude of evoked activity in response to direct cortical stimulation (CCEPs) was predicted by the pattern and strength of correlations among low-frequency BOLD signal fluctuations (RSFC). Our findings provide strong empirical support for the idea that correlated slow BOLD signal fluctuations provide an intrinsic representation of the brain’s repertoire of functional responses. Analysis of negative RSFC did not demonstrate a direct correlation with CCEPs, suggesting that the CCEP-RSFC relationship is not simply linear and requires further study. Finally, the present findings suggest that rfMRI approaches may provide a non-invasive alternative to more traditional invasive measures to clinically map spatially distributed networks underlying brain function and pathological networks underlying seizure spread. Keywords: Genomics and genetics, Neuroimaging Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Neuroimaging Citation: Keller C, Bickel S, Entz L, Lado F, Ulbert I, Kelly C, Milham M and Mehta A (2011). Intrinsic functional architecture predicts electrically evoked responses in the human brain. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00124 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Corey Keller, Albert Einstein College of Medicine, New York, United States, corey.j.keller@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Corey Keller Stephan Bickel Laszlo Entz Fred Lado Istvan Ulbert Clare Kelly Michael Milham Ashesh Mehta Google Corey Keller Stephan Bickel Laszlo Entz Fred Lado Istvan Ulbert Clare Kelly Michael Milham Ashesh Mehta Google Scholar Corey Keller Stephan Bickel Laszlo Entz Fred Lado Istvan Ulbert Clare Kelly Michael Milham Ashesh Mehta PubMed Corey Keller Stephan Bickel Laszlo Entz Fred Lado Istvan Ulbert Clare Kelly Michael Milham Ashesh Mehta Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.