Probing for local activity-related modulation of the infrared backscattering of the brain cortex

Gabriele E. M. Biella, Stefano Trevisan, Mario Ettore Giardini

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The possibility to measure the metabolic activity of the brain cortex, with submillimeter spatial and subsecond temporal resolution, would open up enticing scenarios in addressing basic issues on the relation between different structural components of brain signal processing, and in providing an operational pathway to interaction with (dis)functional signal patterns. In the present article, we report the description of a simple system that allows the detection of the minute changes that occur in the optical backscattering of the cortex as a metabolic response to external stimuli. The simplicity of the system is compatible with scalability to an implantable probe. We validate the system on an animal model, and we propose an algorithm to extract meaningful data from the measured signal. We thus show the detection of individual haemodynamic cortical responses to individual stimulation events, and we provide operational considerations on the signal structure.
LanguageEnglish
Pages588-595
Number of pages8
JournalJournal of Biophotonics
Volume2
Issue number10
Early online date29 Apr 2009
DOIs
Publication statusPublished - 1 Oct 2009

Fingerprint

cortexes
Backscattering
brain
Brain
backscattering
Modulation
Infrared radiation
modulation
Hemodynamics
hemodynamic responses
Scalability
Signal processing
Animals
animal models
Animal Models
temporal resolution
stimulation
stimuli
signal processing
probes

Keywords

  • infrared backscattering
  • detection of neuronal activity
  • optical detection
  • biomedical transducer
  • rat

Cite this

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Probing for local activity-related modulation of the infrared backscattering of the brain cortex. / Biella, Gabriele E. M.; Trevisan, Stefano; Giardini, Mario Ettore.

In: Journal of Biophotonics, Vol. 2, No. 10, 01.10.2009, p. 588-595.

Research output: Contribution to journalArticle

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