Paper Info
Title
Spatial and temporal analysis for optical imaging data using CWT and tICA
Abstract
In this paper a novel temporal-spatial analysis procedure for optical imaging (OI) data of single trail is proposed which exploits the continuous wavelet transform (CWT) to detect the activated voxels of cortex and exploits temporal independent component analysis (tICA) to extract the underlying independent sources whose number is determined by Bayesian information criterion. The neural response signals and the V-signals are picked out by investigating the temporal architecture of the independent sources given by tICA. Simulated data is generated to test the validity of the procedure and then the procedure was applied to two sets of OI data of single trail collected from the rats’ HP area. The neural response signals together with the pulse-induced and the 0.1Hz fluctuation signals are extracted from data successfully. The procedure we proposed is a valuable technique for researchers to investigate the temporal and spatial architectures of cortical functional mapping.
Year
DOI
Venue
2005
10.1007/11569541_51
CVBIA
Keywords
Field
DocType
novel temporal-spatial analysis procedure,single trail,underlying independent source,optical imaging data,temporal independent component analysis,simulated data,temporal analysis,neural response,oi data,neural response signal,independent source,temporal architecture,bayesian information criterion,spatial analysis,independent component analysis,optical imaging,continuous wavelet transform
Voxel,Bayesian information criterion,Pattern recognition,Computer science,Continuous wavelet transform,Functional mapping,Artificial intelligence,Independent component analysis,Optical imaging
Conference
Volume
ISSN
ISBN
3765
0302-9743
3-540-29411-2
Citations 
PageRank 
References 
1
0.37
3
Authors
7
Name
Order
Citations
PageRank
Yadong Liu110514.04
Guohua Zang210.37
Fayi Liu310.71
Lirong Yan480.95
Ming Li5134.67
Zongtan Zhou641233.89
Dewen Hu71290101.20