Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task

F. Babiloni, F. Cincotti, A. Basilisco, E. Maso, M. Bufano, C. Babiloni, F. Carducci, P. Rossini, S. Cerutti, D. Ben Dayan Rubin

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

1 Citation (Scopus)

Abstract

We addressed questions related to the cortical sources involved in the spatial short term memory in humans. Such sources were estimated from non-invasive EEG recordings by using linear inverse procedure in a group of 9 normal healthy subjects. Analyzed neural activations from EEG recordings were obtained in regions of interest (ROIs) of few squared cm at the cortical level. Structural equation modeling (SEM) technique was then used to assess effective connectivity between cortical ROIs. Results showed an increase of connectivity of cortical prefrontal and premotor areas during the task phase in which an image has to be held in the memory before an appropriate decision has to be made by the subjects.

Original languageEnglish
Title of host publicationInternational IEEE/EMBS Conference on Neural Engineering, NER
PublisherIEEE Computer Society
Pages79-82
Number of pages4
Volume2003-January
ISBN (Print)0780375793
DOIs
Publication statusPublished - 2003
Event1st International IEEE EMBS Conference on Neural Engineering - Capri Island, Italy
Duration: Mar 20 2003Mar 22 2003

Other

Other1st International IEEE EMBS Conference on Neural Engineering
CountryItaly
CityCapri Island
Period3/20/033/22/03

Fingerprint

Electroencephalography
Data storage equipment
Chemical activation

Keywords

  • Brain modeling
  • Buffer storage
  • Cognition
  • Electroencephalography
  • Equations
  • Hemodynamics
  • Humans
  • Inverse problems
  • Magnetic heads
  • Numerical analysis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

Cite this

Babiloni, F., Cincotti, F., Basilisco, A., Maso, E., Bufano, M., Babiloni, C., ... Rubin, D. B. D. (2003). Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task. In International IEEE/EMBS Conference on Neural Engineering, NER (Vol. 2003-January, pp. 79-82). [1196760] IEEE Computer Society. https://doi.org/10.1109/CNE.2003.1196760

Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task. / Babiloni, F.; Cincotti, F.; Basilisco, A.; Maso, E.; Bufano, M.; Babiloni, C.; Carducci, F.; Rossini, P.; Cerutti, S.; Rubin, D. Ben Dayan.

International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. p. 79-82 1196760.

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

Babiloni, F, Cincotti, F, Basilisco, A, Maso, E, Bufano, M, Babiloni, C, Carducci, F, Rossini, P, Cerutti, S & Rubin, DBD 2003, Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task. in International IEEE/EMBS Conference on Neural Engineering, NER. vol. 2003-January, 1196760, IEEE Computer Society, pp. 79-82, 1st International IEEE EMBS Conference on Neural Engineering, Capri Island, Italy, 3/20/03. https://doi.org/10.1109/CNE.2003.1196760
Babiloni F, Cincotti F, Basilisco A, Maso E, Bufano M, Babiloni C et al. Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task. In International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January. IEEE Computer Society. 2003. p. 79-82. 1196760 https://doi.org/10.1109/CNE.2003.1196760
Babiloni, F. ; Cincotti, F. ; Basilisco, A. ; Maso, E. ; Bufano, M. ; Babiloni, C. ; Carducci, F. ; Rossini, P. ; Cerutti, S. ; Rubin, D. Ben Dayan. / Frontoparietal cortical networks revealed by Structural Equation modeling and high resolution EEG during a short term memory task. International IEEE/EMBS Conference on Neural Engineering, NER. Vol. 2003-January IEEE Computer Society, 2003. pp. 79-82
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