PortalPublikationenAssessment of effective connectivity among cortical regions ...

Assessment of effective connectivity among cortical regions based on a neural mass model.

Standard

Assessment of effective connectivity among cortical regions based on a neural mass model. / Zavaglia, Melissa; Astolfi, L; Babiloni, F; Ursino, M.

in: Conf Proc IEEE Eng Med Biol Soc, Jahrgang 1, 2006, S. 590-594.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Zavaglia, M, Astolfi, L, Babiloni, F & Ursino, M 2006, 'Assessment of effective connectivity among cortical regions based on a neural mass model.', Conf Proc IEEE Eng Med Biol Soc, Jg. 1, S. 590-594. <http://www.ncbi.nlm.nih.gov/pubmed/17945594?dopt=Citation>

APA

Zavaglia, M., Astolfi, L., Babiloni, F., & Ursino, M. (2006). Assessment of effective connectivity among cortical regions based on a neural mass model. Conf Proc IEEE Eng Med Biol Soc, 1, 590-594. http://www.ncbi.nlm.nih.gov/pubmed/17945594?dopt=Citation

Vancouver

Zavaglia M, Astolfi L, Babiloni F, Ursino M. Assessment of effective connectivity among cortical regions based on a neural mass model. Conf Proc IEEE Eng Med Biol Soc. 2006;1:590-594.

Bibtex

@article{b1188901e53f42149b0383cb7337dc1a,
title = "Assessment of effective connectivity among cortical regions based on a neural mass model.",
abstract = "Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim of this work is to use a neural mass model to assess the effect of various connectivity patterns in the power spectral density (PSD) of cortical EEG, and investigate the possibility to derive connectivity circuits from real EEG data. To this end, a model of an individual region of interest (ROI) has been built as the parallel arrangement of three populations. The present study suggests that the model can be used as a simulation tool, able to produce reliable intracortical EEG signals. Moreover, it can be used to look for simple connectivity circuits, able to explain the main features of observed cortical PSD. These results may open new prospective in the use of neurophysiological models, instead of empirical models, to assess effective connectivity from neuroimaging information.",
keywords = "Animals, Humans, Computer Simulation, Action Potentials/*physiology, Neurons/*physiology, *Models, Neurological, Nerve Net/*physiology, Cerebral Cortex/*physiology, Brain Mapping/*methods, Synaptic Transmission/physiology, Neural Pathways/*physiology, Animals, Humans, Computer Simulation, Action Potentials/*physiology, Neurons/*physiology, *Models, Neurological, Nerve Net/*physiology, Cerebral Cortex/*physiology, Brain Mapping/*methods, Synaptic Transmission/physiology, Neural Pathways/*physiology",
author = "Melissa Zavaglia and L Astolfi and F Babiloni and M Ursino",
year = "2006",
language = "English",
volume = "1",
pages = "590--594",

}

RIS

TY - JOUR

T1 - Assessment of effective connectivity among cortical regions based on a neural mass model.

AU - Zavaglia, Melissa

AU - Astolfi, L

AU - Babiloni, F

AU - Ursino, M

PY - 2006

Y1 - 2006

N2 - Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim of this work is to use a neural mass model to assess the effect of various connectivity patterns in the power spectral density (PSD) of cortical EEG, and investigate the possibility to derive connectivity circuits from real EEG data. To this end, a model of an individual region of interest (ROI) has been built as the parallel arrangement of three populations. The present study suggests that the model can be used as a simulation tool, able to produce reliable intracortical EEG signals. Moreover, it can be used to look for simple connectivity circuits, able to explain the main features of observed cortical PSD. These results may open new prospective in the use of neurophysiological models, instead of empirical models, to assess effective connectivity from neuroimaging information.

AB - Assessment of brain connectivity among different brain areas during cognitive or motor tasks is a crucial problem in neuroscience today. Aim of this work is to use a neural mass model to assess the effect of various connectivity patterns in the power spectral density (PSD) of cortical EEG, and investigate the possibility to derive connectivity circuits from real EEG data. To this end, a model of an individual region of interest (ROI) has been built as the parallel arrangement of three populations. The present study suggests that the model can be used as a simulation tool, able to produce reliable intracortical EEG signals. Moreover, it can be used to look for simple connectivity circuits, able to explain the main features of observed cortical PSD. These results may open new prospective in the use of neurophysiological models, instead of empirical models, to assess effective connectivity from neuroimaging information.

KW - Animals

KW - Humans

KW - Computer Simulation

KW - Action Potentials/physiology

KW - Neurons/physiology

KW - Models, Neurological

KW - Nerve Net/physiology

KW - Cerebral Cortex/physiology

KW - Brain Mapping/methods

KW - Synaptic Transmission/physiology

KW - Neural Pathways/physiology

KW - Animals

KW - Humans

KW - Computer Simulation

KW - Action Potentials/physiology

KW - Neurons/physiology

KW - Models, Neurological

KW - Nerve Net/physiology

KW - Cerebral Cortex/physiology

KW - Brain Mapping/methods

KW - Synaptic Transmission/physiology

KW - Neural Pathways/physiology

M3 - SCORING: Journal article

VL - 1

SP - 590

EP - 594

ER -