Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration.
OBJECTIVE
The use of functional near-infrared spectroscopy (fNIRS) is growing, leading to a need for methods to summarise data from multiple studies. However, this is difficult using the current channel-based methods when experiments do not share a common channel (CH) arrangement. Thus, we proposed and implemented a CH-independent analysis method for summarising fNIRS data.


METHODS
We defined sub-regions as spatial bins to organise fNIRS data. Sub-regions were defined on the standard brain surface based on macro- and micro-structural information. After probabilistically estimating CH location in standard stereotaxic brain space, the CH-based data were reorganised into these spatial bins to evaluate sub-region-based activation.


RESULTS
Sub-regions with sizes corresponding to fNIRS spatial resolution were defined. We demonstrated this method by integrating data from two of our fNIRS studies that shared the same region of interest but used different channel arrangements.


CONCLUSIONS
Using this method, data from multiple fNIRS studies with different CH arrangements can be integrated in standard brain space, while keeping in mind the brain structure-function relationship.


CONCLUSIONS
The current method will facilitate an effective use of accumulating fNIRS data by allowing integration of data from multiple studies.
Okamoto
Masako
M
National Food Research Institute, Sensory & Cognitive Food Science Lab, 2-1-12, Kannondai, Tsukuba, 305-8642 Ibaraki, Japan. masakoo@affrc.go.jp
Tsuzuki
Daisuke
D
Clowney
Lester
L
Dan
Haruka
H
Singh
Archana K
AK
Dan
Ippeita
I
D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000033:anatomy & histology* / Q000502:physiology*; D006801:Humans; D015233:Models, Statistical; D009474:Neurons / Q000502:physiology; D019265:Spectroscopy, Near-Infrared / Q000379:methods*