Evaluation of the brain network organization from EEG signals: A preliminary evidence in stroke patient

Fabrizio De Vico Fallani, Laura Astolfi, Febo Cincotti, Donatella Mattia, Daria La Rocca, Elira Maksuti, Serenella Salinari, Fabio Babiloni, Balazs Vegso, Gyorgy Kozmann, Zoltan Nagy

Research output: Contribution to journalArticle

44 Citations (Scopus)

Abstract

Synchronous brain activity in motor cortex in perception or in complex cognitive processing has been the subject of several studies. The advanced analysis of cerebral electro-physiological activity during the course of planning (PRE) or execution of movement (EXE) in a high temporal resolution could reveal interesting information about the brain functional organization in patients following stroke damage. High-power (128 channels) electroencephalography registration was carried out on 8 healthy subjects and on a patient with stroke with capsular lacuna in the right hemisphere. For activation of motor cortex, the finger tapping paradigm was used. In this preliminary study, we tested a theoretical graph approach to characterize the task-related spectral coherence. All of the obtained brain functional networks were analyzed by the connectivity degree, the degree distribution, and efficiency parameters in the Theta, Alpha, Beta, and Gamma bands during the PRE and EXE intervals. All the brain networks were found to hold a regular and ordered topology. However, significant differences (P <0.01) emerged between the patient with stroke and the control subjects, independently of the neural processes related to the PRE or EXE periods. In the Beta (13-29 Hz) and Gamma (30-40 Hz) bands, the significant (P <0.01) decrease in global- and local-efficiency in the patient's networks, reflected a lower capacity to integrate communication between distant brain regions and a lower tendency to be modular. This weak organization is principally due to the significant (P <0.01 Bonferroni corrected) increase in disconnected nodes together with the significant increase in the links in some other crucial vertices.

Original languageEnglish
Pages (from-to)2023-2031
Number of pages9
JournalAnatomical Record
Volume292
Issue number12
DOIs
Publication statusPublished - Dec 2009

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stroke
brain
Electroencephalography
Stroke
Brain
Motor Cortex
electroencephalography
topology
animal communication
Fingers
connectivity
Healthy Volunteers
planning
Communication
evaluation
communication
damage
motor cortex

Keywords

  • Cerebral disorder
  • Functional connectivity
  • Graph theory

ASJC Scopus subject areas

  • Anatomy
  • Histology
  • Ecology, Evolution, Behavior and Systematics
  • Biotechnology

Cite this

Evaluation of the brain network organization from EEG signals : A preliminary evidence in stroke patient. / De Vico Fallani, Fabrizio; Astolfi, Laura; Cincotti, Febo; Mattia, Donatella; La Rocca, Daria; Maksuti, Elira; Salinari, Serenella; Babiloni, Fabio; Vegso, Balazs; Kozmann, Gyorgy; Nagy, Zoltan.

In: Anatomical Record, Vol. 292, No. 12, 12.2009, p. 2023-2031.

Research output: Contribution to journalArticle

De Vico Fallani, F, Astolfi, L, Cincotti, F, Mattia, D, La Rocca, D, Maksuti, E, Salinari, S, Babiloni, F, Vegso, B, Kozmann, G & Nagy, Z 2009, 'Evaluation of the brain network organization from EEG signals: A preliminary evidence in stroke patient', Anatomical Record, vol. 292, no. 12, pp. 2023-2031. https://doi.org/10.1002/ar.20965
De Vico Fallani, Fabrizio ; Astolfi, Laura ; Cincotti, Febo ; Mattia, Donatella ; La Rocca, Daria ; Maksuti, Elira ; Salinari, Serenella ; Babiloni, Fabio ; Vegso, Balazs ; Kozmann, Gyorgy ; Nagy, Zoltan. / Evaluation of the brain network organization from EEG signals : A preliminary evidence in stroke patient. In: Anatomical Record. 2009 ; Vol. 292, No. 12. pp. 2023-2031.
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