Estimation of effective connectivity between cortical areas using near-infrared spectroscopy (NIRS)

Abstract

Event Abstract Back to Event Estimation of effective connectivity between cortical areas using near-infrared spectroscopy (NIRS) Young-Jin Jung1, Lee Seungduk2, Koh Dalkwon2, Kim Do-Won1, Kim Beop-Min3 and Chang-Hwan Im1* 1 Yonsei University, Department of Biomedical Engineering, South Korea 2 Korea University, Department of Biomicrosystem Engineering, South Korea 3 Korea University, Department of Biomedical Engineering, South Korea This paper investigated the feasibility of measuring effectivity connectivity between cortical areas with near infrared spectroscopy (NIRS). We recorded cerebral hemodynamic responses at primary somatosensory cortex (S1), secondary somatosensory cortex (S2), and primary motor cortex (M1) regions in rat barrel cortex during electrical stimulation of rat whiskers. Deoxyhemoglobin concentration changes were calculated from the frequency-domain NIRS recordings and the Granger causality based on the multivariate autoregressive (MVAR) model was used to estimate the effective causal connectivity among S1, S2, and M1. Most results showed statistically significant Granger causality values at S1 -> M1 and S2 -> M1 connections when we used p = 0.05 to assess the statistical significance. Most rats did not show statistically significant causality values at the opposite directional connections (M1 -> S1 and M1 -> S2), except for only one case. The estimated causality patterns of seven rats showed consistent unidirectional coupling between the somatosensory areas and the motor areas (S1 and S2 -> M1), which coincides well with our expectation because the rats’ motor function was completely anesthetized. Our preliminary results suggest that the cortico-cortical effectivity connectivity can be successfully investigated with NIRS. Conference: Biomag 2010 - 17th International Conference on Biomagnetism , Dubrovnik, Croatia, 28 Mar - 1 Apr, 2010. Presentation Type: Poster Presentation Topic: Instrumentation and Multi-modal Integrations: MEG, Low-field MRI,EEG, fMRI,TMS,NIRS Citation: Jung Y, Seungduk L, Dalkwon K, Do-Won K, Beop-Min K and Im C (2010). Estimation of effective connectivity between cortical areas using near-infrared spectroscopy (NIRS). Front. Neurosci. Conference Abstract: Biomag 2010 - 17th International Conference on Biomagnetism . doi: 10.3389/conf.fnins.2010.06.00435 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: 12 Apr 2010; Published Online: 12 Apr 2010. * Correspondence: Chang-Hwan Im, Yonsei University, Department of Biomedical Engineering, Wonju, South Korea, ich@yonsei.ac.kr 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 Young-Jin Jung Lee Seungduk Koh Dalkwon Kim Do-Won Kim Beop-Min Chang-Hwan Im Google Young-Jin Jung Lee Seungduk Koh Dalkwon Kim Do-Won Kim Beop-Min Chang-Hwan Im Google Scholar Young-Jin Jung Lee Seungduk Koh Dalkwon Kim Do-Won Kim Beop-Min Chang-Hwan Im PubMed Young-Jin Jung Lee Seungduk Koh Dalkwon Kim Do-Won Kim Beop-Min Chang-Hwan Im 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.