Axonal conduction velocity impacts neuronal network oscillations

Vladimir A. Ivanov; Ioannis E. Polykretis; Konstantinos P. Michmizos

doi:10.1109/BHI.2019.8834639

Axonal conduction velocity impacts neuronal network oscillations

Vladimir A. Ivanov, Ioannis E. Polykretis, Konstantinos P. Michmizos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly understood. In this work, we analyzed oscillations in biologically plausible neuronal networks with different conduction velocity distributions. Variation of 1-2 ms in average conduction velocity resulted in network oscillation frequency changes of 0-120 Hz. Our results suggest that changes in axonal conduction velocity may significantly affect both the frequency and synchrony of brain rhythms, which have well established connections to learning, memory, and other cognitive processes.

Original language	English (US)
Title of host publication	2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728108483
DOIs	https://doi.org/10.1109/BHI.2019.8834639
State	Published - May 2019
Event	2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Chicago, United States Duration: May 19 2019 → May 22 2019

Publication series

Name	2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings

Conference

Conference	2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019
Country/Territory	United States
City	Chicago
Period	5/19/19 → 5/22/19

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Signal Processing
Information Systems and Management
Biomedical Engineering
Health Informatics
Radiology Nuclear Medicine and imaging

Keywords

Action Potential Conduction Velocity
Oscillations
Spike Timing
Synchronization

Access to Document

10.1109/BHI.2019.8834639

Cite this

Ivanov, V. A., Polykretis, I. E., & Michmizos, K. P. (2019). Axonal conduction velocity impacts neuronal network oscillations. In 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings Article 8834639 (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BHI.2019.8834639

Ivanov, Vladimir A. ; Polykretis, Ioannis E. ; Michmizos, Konstantinos P. / Axonal conduction velocity impacts neuronal network oscillations. 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

@inproceedings{9a01e65b9a184b33a4244ba8bb3a889a,

title = "Axonal conduction velocity impacts neuronal network oscillations",

abstract = "Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly understood. In this work, we analyzed oscillations in biologically plausible neuronal networks with different conduction velocity distributions. Variation of 1-2 ms in average conduction velocity resulted in network oscillation frequency changes of 0-120 Hz. Our results suggest that changes in axonal conduction velocity may significantly affect both the frequency and synchrony of brain rhythms, which have well established connections to learning, memory, and other cognitive processes.",

keywords = "Action Potential Conduction Velocity, Oscillations, Spike Timing, Synchronization",

author = "Ivanov, {Vladimir A.} and Polykretis, {Ioannis E.} and Michmizos, {Konstantinos P.}",

year = "2019",

month = may,

doi = "10.1109/BHI.2019.8834639",

language = "English (US)",

series = "2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings",

address = "United States",

note = "2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 ; Conference date: 19-05-2019 Through 22-05-2019",

}

Ivanov, VA, Polykretis, IE & Michmizos, KP 2019, Axonal conduction velocity impacts neuronal network oscillations. in 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings., 8834639, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019, Chicago, United States, 5/19/19. https://doi.org/10.1109/BHI.2019.8834639

Axonal conduction velocity impacts neuronal network oscillations. / Ivanov, Vladimir A.; Polykretis, Ioannis E.; Michmizos, Konstantinos P.
2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8834639 (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Axonal conduction velocity impacts neuronal network oscillations

AU - Ivanov, Vladimir A.

AU - Polykretis, Ioannis E.

AU - Michmizos, Konstantinos P.

PY - 2019/5

Y1 - 2019/5

N2 - Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly understood. In this work, we analyzed oscillations in biologically plausible neuronal networks with different conduction velocity distributions. Variation of 1-2 ms in average conduction velocity resulted in network oscillation frequency changes of 0-120 Hz. Our results suggest that changes in axonal conduction velocity may significantly affect both the frequency and synchrony of brain rhythms, which have well established connections to learning, memory, and other cognitive processes.

AB - Increasing experimental evidence suggests that axonal action potential conduction velocity is a highly adaptive parameter in the adult central nervous system. Yet, the effects of this newfound plasticity on global brain dynamics is poorly understood. In this work, we analyzed oscillations in biologically plausible neuronal networks with different conduction velocity distributions. Variation of 1-2 ms in average conduction velocity resulted in network oscillation frequency changes of 0-120 Hz. Our results suggest that changes in axonal conduction velocity may significantly affect both the frequency and synchrony of brain rhythms, which have well established connections to learning, memory, and other cognitive processes.

KW - Action Potential Conduction Velocity

KW - Oscillations

KW - Spike Timing

KW - Synchronization

UR - http://www.scopus.com/inward/record.url?scp=85073011595&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85073011595&partnerID=8YFLogxK

U2 - 10.1109/BHI.2019.8834639

DO - 10.1109/BHI.2019.8834639

M3 - Conference contribution

T3 - 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings

BT - 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019

Y2 - 19 May 2019 through 22 May 2019

ER -

Ivanov VA, Polykretis IE, Michmizos KP. Axonal conduction velocity impacts neuronal network oscillations. In 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8834639. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings). doi: 10.1109/BHI.2019.8834639

Axonal conduction velocity impacts neuronal network oscillations

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this