Towards the assessment of motor network's behavioral correlates by video-EEG

Paolo Erbizi, Gabriele Bronzato, Silvia Francesca Storti, Andrea Giachetti, Paolo Manganotti, Gloria Menegaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages372
Number of pages1
ISBN (Print)9781479957019
DOIs
Publication statusPublished - Mar 2 2014
Event2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014 - Verona, Italy
Duration: Sep 15 2014Sep 17 2014

Other

Other2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014
CountryItaly
CityVerona
Period9/15/149/17/14

Fingerprint

Electroencephalography
Brain

Keywords

  • Biomedical Signal Processing
  • ERD
  • Functional Connectivity

ASJC Scopus subject areas

  • Health Informatics

Cite this

Erbizi, P., Bronzato, G., Storti, S. F., Giachetti, A., Manganotti, P., & Menegaz, G. (2014). Towards the assessment of motor network's behavioral correlates by video-EEG. In Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014 (pp. 372). [7052522] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICHI.2014.67

Towards the assessment of motor network's behavioral correlates by video-EEG. / Erbizi, Paolo; Bronzato, Gabriele; Storti, Silvia Francesca; Giachetti, Andrea; Manganotti, Paolo; Menegaz, Gloria.

Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 372 7052522.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Erbizi, P, Bronzato, G, Storti, SF, Giachetti, A, Manganotti, P & Menegaz, G 2014, Towards the assessment of motor network's behavioral correlates by video-EEG. in Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014., 7052522, Institute of Electrical and Electronics Engineers Inc., pp. 372, 2014 2nd IEEE International Conference on Healthcare Informatics, ICHI 2014, Verona, Italy, 9/15/14. https://doi.org/10.1109/ICHI.2014.67
Erbizi P, Bronzato G, Storti SF, Giachetti A, Manganotti P, Menegaz G. Towards the assessment of motor network's behavioral correlates by video-EEG. In Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 372. 7052522 https://doi.org/10.1109/ICHI.2014.67
Erbizi, Paolo ; Bronzato, Gabriele ; Storti, Silvia Francesca ; Giachetti, Andrea ; Manganotti, Paolo ; Menegaz, Gloria. / Towards the assessment of motor network's behavioral correlates by video-EEG. Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 372
@inproceedings{0287dc703e0a4fb99c767c48e6105ced,
title = "Towards the assessment of motor network's behavioral correlates by video-EEG",
abstract = "Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.",
keywords = "Biomedical Signal Processing, ERD, Functional Connectivity",
author = "Paolo Erbizi and Gabriele Bronzato and Storti, {Silvia Francesca} and Andrea Giachetti and Paolo Manganotti and Gloria Menegaz",
year = "2014",
month = "3",
day = "2",
doi = "10.1109/ICHI.2014.67",
language = "English",
isbn = "9781479957019",
pages = "372",
booktitle = "Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Towards the assessment of motor network's behavioral correlates by video-EEG

AU - Erbizi, Paolo

AU - Bronzato, Gabriele

AU - Storti, Silvia Francesca

AU - Giachetti, Andrea

AU - Manganotti, Paolo

AU - Menegaz, Gloria

PY - 2014/3/2

Y1 - 2014/3/2

N2 - Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.

AB - Functional connectivity estimates the temporal synchrony among functionally homogeneous brain regions based on the assessment of the dynamics of topologically localized neurophysiological responses. Here we aim at providing a first proof of concept that behavioral features can be linked to connectivity in a completely automatic manner by focusing on a simplified case study: assessment of body motion correlates of functional EEG-based connectivity.

KW - Biomedical Signal Processing

KW - ERD

KW - Functional Connectivity

UR - http://www.scopus.com/inward/record.url?scp=84949924841&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84949924841&partnerID=8YFLogxK

U2 - 10.1109/ICHI.2014.67

DO - 10.1109/ICHI.2014.67

M3 - Conference contribution

AN - SCOPUS:84949924841

SN - 9781479957019

SP - 372

BT - Proceedings - 2014 IEEE International Conference on Healthcare Informatics, ICHI 2014

PB - Institute of Electrical and Electronics Engineers Inc.

ER -