Understanding EEG and NIRS, a comparison between these techniques and the advantages to use them together

Thursday, 19 de December de 2019

EEG ERP NIRS fNIRS What to know
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In this post I will be comparing different techniques for reading brain activity. Including advantages and disadvantages of each of them. The techniques covered here will be EEG, fNIRS, PET and fMRI.

 

These techniques obtain data on brain activity in different ways. Whether through hemodynamic or electrical aspects: 

Hemodynamic

         Near infrared spectroscopy (NIRS)

         Functional Magnetic Resonance Imaging (fMRI)

Bioelectrical activity

         Electroencephalography (EEG)

 Biomagnetic activity

         Magnetoencephalography (MEG)

 


Electroencephalography (EEG)

Measure synchronous activation of the dendritic tree of a large population of neurons (pyramidal cells, oriented perpendicularly to the scalp surface) in response to exogenous stimulation.

EEG methods present several limitations. One major limitation is that only scalp signals can be detected.

 

Near infrared spectroscopy (NIRS)

NIRS uses tissue’s particular absorption properties in the near-infrared range to measure changes oxy- and deoxyhemoglobin ([HbO2] and [HbR]) on the place of measurement. NIRS provides a better localization.

NIRS measures changes in emitted light intensity after passage through a tissue of interest. These changes are due to absorption and scattering by local microvascular and [HbR], [HbO2] concentration variations in response to neuronal activation.

 

 


EEG & NIRS

EEG and NIRS allow simultaneous analysis with high temporal resolution of the neuronal and hemodynamic components of brain activation.  With this simultaneous analysis we are able to detect brief processes of 100 ms (With EEG) and measure better the integration on a long time analysis (With NIRS).

  


Comparison of EEG, fNIRS, MEG and fMRI.

Costs: In a scale of prices between these technologies, EEG has a low cost, while fNIRS has a moderate, fMRI a high prices and the MEG has the highest.

 

Mobility of equipment:

The EEG and the NIRS are mobile, usually you can to from a laboratory to another, while the fMRI and MEG are fixed at the structure of the building.

 

Age range of participants:

EEG and NIRS can be used from premature infants to adults, while fMRI has studies on adults and a few studies on infants and MEG has Studies on adults and young children.

 

Confinement:

For MEG and fMRI studies, the head of the voluntary will be confined in a small space.

 

Sensitivity to movement:

NIRS is the technique less sensitive to movement, while EGG is a little sensitive and MEG and fMRI have a high sensibility.

 

Preparation time:

fMRI and MEG have a fast preparation time. The preparation of caps for EEG and NIRS is time consuming because of the electrodes positioning and detectors/emitters positioning.

 

Allowed for participants with ferromagnetic implants:

Only EEG and NIRS may be used in participants with these kind of implants.

 

Spatial Resolution:

EEG has a spatial resolution of centimeters and limited below cortical surface.

MEG has a spatial resolution of millimeters at cortex and is less precise for deep sources.

fMRi has a spatial resolution of millimeters and is not limited to cortical areas.

fNIRS has a spatial resolution of millimeters and is very limited below cortical surface.

 

Temporal resolution:

EEG, MEG and NIRS have a temporal resolution of milliseconds while fMRI has a temporal resolution of 1 to 5 seconds. Although the hemodynamic activity detected by NIRS is a delayed representation cortical activity.

 

 


References:

1. WALLOIS, Fabrice et al. Usefulness of simultaneous EEG–NIRS recording in language studies. Brain and language, v. 121, n. 2, p. 110-123, 2012.

2. TOMITA, Yohei et al. Bimodal BCI using simultaneously NIRS and EEG. IEEE Transactions on Biomedical Engineering, v. 61, n. 4, p. 1274-1284, 2014.

3. FAZLI, Siamac et al. Enhanced performance by a hybrid NIRS–EEG brain computer interface. Neuroimage, v. 59, n. 1, p. 519-529, 2012.

 

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Autor:

Jackson Cionek

Administration

jackson@brainlatam.com