A new processing method in fMRI for detecting activated regions in patients after subcortical stroke

Author

De Nicola, A. ; Caulo, M. ; Gratta, C. Del ; Ferretti, A. ; Tartaro, A. ; Romani, G.L.

Author_Institution

Inst. for Adv. Biomed. Technol., Univ. of Chieti, Italy

fYear

2003

fDate

20-22 March 2003

Firstpage

519

Lastpage

520

Abstract

Stroke patients may present an altered hemodynamic response compared to healthy subjects. The magnitude of the BOLD fMRI response may considerably differ from the hemodynamic response function (hrf) commonly used in the analysis of the fMRI data, and, as a consequence, a BOLD signal may fail to be detected in stroke patients. The aim of the work is to develop a new method for the fMRl data analysis, suitable for the detection of cerebral activated areas in stroke patients. An analysis of the signal variance is used in order to calculate, for the anatomic areas of interest, the average BOLD signal time-course, to be used in turn as the reference function (hrf) in a correlation analysis. This way of analyzing fMRI data allows the detection of activation in the cortical sensorimotor areas not detected by a statistical analysis that uses a standard hrf as reference function.

Keywords

biomedical MRI; brain; haemodynamics; medical image processing; BOLD fMRI response; BOLD signal; activated region detection; altered hemodynamic response; average BOLD signal time-course; cerebral activated areas; correlation analysis; cortical sensorimotor areas; fMRI data; fMRI data analysis; hemodynamic response function; patients; processing method; reference function; signal variance; stroke patients; subcortical stroke; variance analysis; Analysis of variance; Data analysis; Delay; Failure analysis; Filters; Hemodynamics; Physics; Scanning probe microscopy; Signal analysis; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on

Print_ISBN

0-7803-7579-3

Type

conf

DOI

10.1109/CNE.2003.1196877

Filename

1196877