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. 2012 Apr 2;60(2):879-83.
doi: 10.1016/j.neuroimage.2012.01.104. Epub 2012 Jan 28.

Normative database of judgment of complexity task with functional near infrared spectroscopy--application for TBI

Franck Amyot  1 , Trelawny Zimmermann, Jason Riley, Jana M Kainerstorfer, Victor Chernomordik, Eric Mooshagian, Laleh Najafizadeh, Frank Krueger, Amir H Gandjbakhche, Eric M Wassermann
Affiliations

Normative database of judgment of complexity task with functional near infrared spectroscopy--application for TBI

Franck Amyot et al. Neuroimage. .

Abstract

The ability to assess frontal lobe function in a rapid, objective, and standardized way, without the need for expertise in cognitive test administration might be particularly helpful in mild traumatic brain injury (TBI), where objective measures are needed. Functional near infrared spectroscopy (fNIRS) is a reliable technique to noninvasively measure local hemodynamic changes in brain areas near the head surface. In this paper, we are combining fNIRS and frameless stereotaxy which allowed us to co-register the functional images with previously acquired anatomical MRI volumes. In our experiment, the subjects were asked to perform a task, evaluating the complexity of daily life activities, previously shown with fMRI to activate areas of the anterior frontal cortex. We reconstructed averaged oxyhemoglobin and deoxyhemoglobin data from 20 healthy subjects in a spherical coordinate. The spherical coordinate is a natural representation of surface brain activation projection. Our results show surface activation projected from the medial frontopolar cortex which is consistent with previous fMRI results. With this original technique, we will construct a normative database for a simple cognitive test which can be useful in evaluating cognitive disability such as mild traumatic brain injury.

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Figures

Figure 1
Figure 1
Optical sensor pad schematic. It is composed of 4 sources and 10 detectors which form 16 source/detector pairs separated by 2.5cm. The sensor pad is positioned on the volunteer’s forehead.
Figure 2
Figure 2
Example of HRF for HbO and HbR changes due to local activation. The HbO and HbR were averaged with 20 subjects.
Figure 3
Figure 3
HbO (upper figure) and HbR (lower figure) activation map for all subjects in the spherical coordinate. θ represents the elevation and ϕ HRF measured for each source/detector pair over 10 seconds interpolated over the entire image.
Figure 4
Figure 4
HbR (a) and HbO (b) concentration map issued from the Fig. 3 wrap on the surface cortex of the MNI atlas.
Figure 5
Figure 5
Normal angular distribution for (a) HbR and (b) HbO for the 20 subjects. The 2-D angular distribution (II-a and II-b) is given by the normal distribution of elevation (red curve in I-a and I-b) and the normal distribution of the azimuth (red curve III-a and III-b). The lines in Fig. II-a and II-b are the iso-probability lines calculated; the blue circles represent the subject measurement.
See this image and copyright information in PMC

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