Prince et al., 2003
|
motor |
5 |
Hand tapping/Rest |
Stochastic model with extended Kalman filter |
>2 cm |
Zhang et al., 2007
|
Five layer slab model |
Simulated data |
Block design paradigm |
Multi-separation probe configuration and Monte Carlo |
1.5~4.5 cm |
Abdelnour and Huppert, 2009
|
Motor |
3 |
Finger tapping |
GLM with Kalman estimator |
3.1 cm |
Zhang et al., 2011b
|
Five layer slab model |
Simulated data |
Block design paradigm |
Multi-distance approach with empirical mode decomposition |
0.1 cm |
Zhang et al., 2012
|
Five layer slab model |
Simulated data |
Block design paradigm |
Recursive least square estimation (RLSE) filtering |
0.15~4.5 cm |
Yamada et al., 2012
|
Primary motor |
7 |
Finger tapping |
Negative and positive correlation |
1~4 cm |
Frederick et al., 2012
|
Right frontal lobe |
6 |
Resting state |
Voxel-specific time delay |
0.1 and 3 cm |
Kamran and Hong, 2014
|
Motor |
6 |
Finger tapping |
ARMAX |
~ 2.5 cm |
Erdogan et al., 2014
|
Pre-frontal |
18 |
Mental arithmetic |
Extended superficial signal regression method. |
2.5 cm |
Kirilina et al., 2013
|
Frontal lobe |
15 |
German words recognition |
Time-domain fNIRS with wavelet coherence analysis. |
3 cm |
Bauernfeind et al., 2014
|
Motor cortex |
12 |
Cue-based right hand (RH) and both feet (FE) motor execution |
A common reference method, ICA and transfer function models |
3 cm |
Zhang et al., 2013
|
Five layer slab model |
Simulated data |
Epoch block |
Multi-distance probe configuration and ICA |
0.5 and 4.5 cm |
Barker et al., 2013
|
Pre-frontal |
22 |
Resting state |
Regression analysis using GLM |
– |
Tong et al., 2013
|
Middle hand and left Big toe |
7 |
Resting state |
Group ICA |
1.5 cm |
Santosa et al., 2013
|
Pre-frontal |
8 |
Arithmetic task |
ICA with pre-defined regressors |
2.2, 2.5, and 4.3 cm |
Scarpa et al., 2013
|
Motor |
10 |
Key pressing with left or right index finger |
Reference channel based noise removal |
1.5 and 3 cm |
Kirilina et al., 2012
|
Pre-frontal |
15 |
Semantic Continuous performance task |
Concurrent fNIRS and fMRI with Bio-signals |
3 cm |
Cooper et al., 2012
|
Frontal and temporal lobe |
7 |
Resting state |
Variance of residues in GLM for concurrent fNIRS and fMRI |
1 and~ 3cm |
Hu et al., 2010
|
Motor |
5 |
Finger tapping |
Kalman filters and GLM |
2 cm |
Scarpa et al., 2010
|
Parieto-occipital |
13 |
Visual graphics |
Bayesian filtering |
3 cm |
Katura et al., 2008
|
Sensrimotor |
30 |
Finger tapping |
ICA |
3 cm |
Saager and Berger, 2008
|
Left pre-frontal |
21 |
Resting state |
Multi-detector CW-fNIRS |
3.3 cm |
Zhang et al., 2005
|
Sensrimotor |
10 |
Finger movement task |
Eigen vector based spatial filtering |
> 3 cm |
Cui et al., 2010
|
Motor |
10 |
Finger tapping with head motion |
Maximization of negative correlation |
|
Haeussinger et al., 2011
|
Frontal |
24 |
Working memory |
Identification of channels with major extra-cranial signal contributions |
|