The generation of rhythms within a cortical region: analysis of a neural mass model.

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The generation of rhythms within a cortical region: analysis of a neural mass model. / Ursino, Mauro; Cona, Filippo; Zavaglia, Melissa.

in: NEUROIMAGE, Jahrgang 52, Nr. 3, 3, 2010, S. 1080-1094.

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@article{2f903a1fcfe844aabfe464089db9ca5d,
title = "The generation of rhythms within a cortical region: analysis of a neural mass model.",
abstract = "Rhythms in brain electrical activity are assumed to play a significant role in many cognitive and perceptual processes. It is thus of great value to analyze these rhythms and their mutual relationships in large scale models of cortical regions. In the present work, we modified the neural mass model by Wendling et al. (Eur. J. Neurosci. 15 (2002) 1499-1508) by including a new inhibitory self-loop among GABAA,fast interneurons. A theoretical analysis was performed to demonstrate that, thanks to this loop, GABAA,fast interneurons can produce a gamma rhythm in the power spectral density (PSD) even without the participation of the other neural populations. Then, the model of a whole cortical region, built upon four interconnected neural populations (pyramidal cells, excitatory, GABAA,slow and GABAA,fast interneurons) was investigated by changing the internal connectivity parameters. Results show that different rhythm combinations (beta and gamma, alpha and gamma, or a wide spectrum) can be obtained within the same region by simply altering connectivity values, without the need to change synaptic kinetics. Finally, two or three cortical regions were connected by using different topologies of long range connections. Results show that long-range connections directed from pyramidal neurons to GABAA,fast interneurons are the most efficient to transmit rhythms from one region to another. In this way, PSD with three or four peaks can be obtained using simple connectivity patterns. The model can be of value to gain a deeper insight into the mechanisms involved in the generation of gamma rhythms and provide a better understanding of cortical EEG spectra.",
keywords = "Electroencephalography, Models, Theoretical, Neurons/*physiology, *Models, Neurological, *Neural Networks (Computer), Cerebral Cortex/*physiology, Electroencephalography, Models, Theoretical, Neurons/*physiology, *Models, Neurological, *Neural Networks (Computer), Cerebral Cortex/*physiology",
author = "Mauro Ursino and Filippo Cona and Melissa Zavaglia",
year = "2010",
language = "English",
volume = "52",
pages = "1080--1094",
journal = "NEUROIMAGE",
issn = "1053-8119",
publisher = "Academic Press",
number = "3",

}

RIS

TY - JOUR

T1 - The generation of rhythms within a cortical region: analysis of a neural mass model.

AU - Ursino, Mauro

AU - Cona, Filippo

AU - Zavaglia, Melissa

PY - 2010

Y1 - 2010

N2 - Rhythms in brain electrical activity are assumed to play a significant role in many cognitive and perceptual processes. It is thus of great value to analyze these rhythms and their mutual relationships in large scale models of cortical regions. In the present work, we modified the neural mass model by Wendling et al. (Eur. J. Neurosci. 15 (2002) 1499-1508) by including a new inhibitory self-loop among GABAA,fast interneurons. A theoretical analysis was performed to demonstrate that, thanks to this loop, GABAA,fast interneurons can produce a gamma rhythm in the power spectral density (PSD) even without the participation of the other neural populations. Then, the model of a whole cortical region, built upon four interconnected neural populations (pyramidal cells, excitatory, GABAA,slow and GABAA,fast interneurons) was investigated by changing the internal connectivity parameters. Results show that different rhythm combinations (beta and gamma, alpha and gamma, or a wide spectrum) can be obtained within the same region by simply altering connectivity values, without the need to change synaptic kinetics. Finally, two or three cortical regions were connected by using different topologies of long range connections. Results show that long-range connections directed from pyramidal neurons to GABAA,fast interneurons are the most efficient to transmit rhythms from one region to another. In this way, PSD with three or four peaks can be obtained using simple connectivity patterns. The model can be of value to gain a deeper insight into the mechanisms involved in the generation of gamma rhythms and provide a better understanding of cortical EEG spectra.

AB - Rhythms in brain electrical activity are assumed to play a significant role in many cognitive and perceptual processes. It is thus of great value to analyze these rhythms and their mutual relationships in large scale models of cortical regions. In the present work, we modified the neural mass model by Wendling et al. (Eur. J. Neurosci. 15 (2002) 1499-1508) by including a new inhibitory self-loop among GABAA,fast interneurons. A theoretical analysis was performed to demonstrate that, thanks to this loop, GABAA,fast interneurons can produce a gamma rhythm in the power spectral density (PSD) even without the participation of the other neural populations. Then, the model of a whole cortical region, built upon four interconnected neural populations (pyramidal cells, excitatory, GABAA,slow and GABAA,fast interneurons) was investigated by changing the internal connectivity parameters. Results show that different rhythm combinations (beta and gamma, alpha and gamma, or a wide spectrum) can be obtained within the same region by simply altering connectivity values, without the need to change synaptic kinetics. Finally, two or three cortical regions were connected by using different topologies of long range connections. Results show that long-range connections directed from pyramidal neurons to GABAA,fast interneurons are the most efficient to transmit rhythms from one region to another. In this way, PSD with three or four peaks can be obtained using simple connectivity patterns. The model can be of value to gain a deeper insight into the mechanisms involved in the generation of gamma rhythms and provide a better understanding of cortical EEG spectra.

KW - Electroencephalography

KW - Models, Theoretical

KW - Neurons/physiology

KW - Models, Neurological

KW - Neural Networks (Computer)

KW - Cerebral Cortex/physiology

KW - Electroencephalography

KW - Models, Theoretical

KW - Neurons/physiology

KW - Models, Neurological

KW - Neural Networks (Computer)

KW - Cerebral Cortex/physiology

M3 - SCORING: Journal article

VL - 52

SP - 1080

EP - 1094

JO - NEUROIMAGE

JF - NEUROIMAGE

SN - 1053-8119

IS - 3

M1 - 3

ER -