Compressibility of High-Density EEG Signals in Stroke Patients

Nadia Mammone, Simona De Salvo, Cosimo Ieracitano, Silvia Marino, Emanuele Cartella, Alessia Bramanti, Roberto Giorgianni, Francesco C. Morabito

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Stroke is a critical event that causes the disruption of neural connections. There is increasing evidence that the brain tries to reorganize itself and to replace the damaged circuits, by establishing compensatory pathways. Intra- and extra-cellular currents are involved in the communication between neurons and the macroscopic effects of such currents can be detected at the scalp through electroencephalographic (EEG) sensors. EEG can be used to study the lesions in the brain indirectly, by studying their effects on the brain electrical activity. The primary goal of the present work was to investigate possible asymmetries in the activity of the two hemispheres, in the case one of them is affected by a lesion due to stroke. In particular, the compressibility of High-Density-EEG (HD-EEG) recorded at the two hemispheres was investigated since the presence of the lesion is expected to impact on the regularity of EEG signals. The secondary objective was to evaluate if standard low density EEG is able to provide such information. Eighteen patients with unilateral stroke were recruited and underwent HD-EEG recording. Each EEG signal was compressively sensed, using Block Sparse Bayesian Learning, at increasing compression rate. The two hemispheres showed significant differences in the compressibility of EEG. Signals acquired at the electrode locations of the affected hemisphere showed a better reconstruction quality, quantified by the Structural SIMilarity index (SSIM), than the EEG signals recorded at the healthy hemisphere (p < 0.05), for each compression rate value. The presence of the lesion seems to induce an increased regularity in the electrical activity of the brain, thus an increased compressibility.

Original languageEnglish
JournalSensors (Basel, Switzerland)
Volume18
Issue number12
DOIs
Publication statusPublished - Nov 23 2018

Fingerprint

hemispheres
strokes
Compressibility
Density (specific gravity)
compressibility
Brain
Stroke
lesions
brain
regularity
Electroencephalography
Scalp
electroencephalography
Neurons
Electrodes
neurons
Communication
learning
Learning
communication

Keywords

  • compressive sensing
  • High-Density Electroencephalography
  • stroke

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Compressibility of High-Density EEG Signals in Stroke Patients. / Mammone, Nadia; De Salvo, Simona; Ieracitano, Cosimo; Marino, Silvia; Cartella, Emanuele; Bramanti, Alessia; Giorgianni, Roberto; Morabito, Francesco C.

In: Sensors (Basel, Switzerland), Vol. 18, No. 12, 23.11.2018.

Research output: Contribution to journalArticle

Mammone, Nadia ; De Salvo, Simona ; Ieracitano, Cosimo ; Marino, Silvia ; Cartella, Emanuele ; Bramanti, Alessia ; Giorgianni, Roberto ; Morabito, Francesco C. / Compressibility of High-Density EEG Signals in Stroke Patients. In: Sensors (Basel, Switzerland). 2018 ; Vol. 18, No. 12.
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