We propose a new algorithm, based on a linear regression model, to statistically estimate the hemodynamic activations in fNIRS data sets. The main concern guiding the algorithm development was the minimization of assumptions and approximations made on the data set for the application of statistical tests. Further, we propose a K-means method to cluster fNIRS data (i.e. channels) as activated or not activated. The methods were validated both on simulated and in vivo fNIRS data. A time domain (TD) fNIRS technique was preferred because of its high performances in discriminating cortical activation and superficial physiological changes. However, the proposed method is also applicable to continuous wave or frequency domain fNIRS data sets.

Linear regression models and k-means clustering for statistical analysis of fNIRS data / V. Bonomini, R. Re, L. Zucchelli, F. Ieva, L. Spinelli, D. Contini, A.M. Paganoni, A. Torricelli. - In: BIOMEDICAL OPTICS EXPRESS. - ISSN 2156-7085. - 6:2(2015 Feb 01), pp. 615-630. [10.1364/BOE.6.000615]

Linear regression models and k-means clustering for statistical analysis of fNIRS data

F. Ieva;
2015

Abstract

We propose a new algorithm, based on a linear regression model, to statistically estimate the hemodynamic activations in fNIRS data sets. The main concern guiding the algorithm development was the minimization of assumptions and approximations made on the data set for the application of statistical tests. Further, we propose a K-means method to cluster fNIRS data (i.e. channels) as activated or not activated. The methods were validated both on simulated and in vivo fNIRS data. A time domain (TD) fNIRS technique was preferred because of its high performances in discriminating cortical activation and superficial physiological changes. However, the proposed method is also applicable to continuous wave or frequency domain fNIRS data sets.
near-infrared spectroscopy; blood-flow; methodology; signal; brain; FMRI; propagation; topography; absorption; origin
Settore SECS-S/01 - Statistica
Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin)
Settore FIS/01 - Fisica Sperimentale
Article (author)
File in questo prodotto:
File Dimensione Formato  
Bonomini et al DEF.pdf

accesso riservato

Descrizione: Articolo Principale
Tipologia: Publisher's version/PDF
Dimensione 4.94 MB
Formato Adobe PDF
4.94 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/262250
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 13
social impact