Determination of the variability of fMRI responses using deconvolution analysis

Nitin Chawla; Bharat Biswal

Determination of the variability of fMRI responses using deconvolution analysis

Research output: Contribution to journal › Conference article › peer-review

Abstract

It is currently assumed that fMRI time-points are stationary i.e., signal characteristics do not change over time. In this study, time-varying signal characteristics of fMRI signal response were investigated using Impulse response function. Substantial variation in the activation map was obtained for bilateral finger tapping paradigm. The proposed method can be extended to study variation between different experiments, and can also be used to detect habituations, or learning effects.

Original language	English (US)
Article number	3.1.3
Pages (from-to)	50-51
Number of pages	2
Journal	Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
State	Published - 2005
Externally published	Yes
Event	Proceedings of the 2005 IEEE 31st Annual Northeast Bioengineering Conference - Hoboken, NJ, United States Duration: Apr 2 2005 → Apr 3 2005

All Science Journal Classification (ASJC) codes

General Chemical Engineering

Cite this

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title = "Determination of the variability of fMRI responses using deconvolution analysis",

abstract = "It is currently assumed that fMRI time-points are stationary i.e., signal characteristics do not change over time. In this study, time-varying signal characteristics of fMRI signal response were investigated using Impulse response function. Substantial variation in the activation map was obtained for bilateral finger tapping paradigm. The proposed method can be extended to study variation between different experiments, and can also be used to detect habituations, or learning effects.",

author = "Nitin Chawla and Bharat Biswal",

year = "2005",

language = "English (US)",

pages = "50--51",

journal = "Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC",

issn = "1071-121X",

note = "Proceedings of the 2005 IEEE 31st Annual Northeast Bioengineering Conference ; Conference date: 02-04-2005 Through 03-04-2005",

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TY - JOUR

T1 - Determination of the variability of fMRI responses using deconvolution analysis

AU - Chawla, Nitin

AU - Biswal, Bharat

PY - 2005

Y1 - 2005

N2 - It is currently assumed that fMRI time-points are stationary i.e., signal characteristics do not change over time. In this study, time-varying signal characteristics of fMRI signal response were investigated using Impulse response function. Substantial variation in the activation map was obtained for bilateral finger tapping paradigm. The proposed method can be extended to study variation between different experiments, and can also be used to detect habituations, or learning effects.

AB - It is currently assumed that fMRI time-points are stationary i.e., signal characteristics do not change over time. In this study, time-varying signal characteristics of fMRI signal response were investigated using Impulse response function. Substantial variation in the activation map was obtained for bilateral finger tapping paradigm. The proposed method can be extended to study variation between different experiments, and can also be used to detect habituations, or learning effects.

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M3 - Conference article

AN - SCOPUS:28444436980

SN - 1071-121X

SP - 50

EP - 51

JO - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

JF - Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC

M1 - 3.1.3

T2 - Proceedings of the 2005 IEEE 31st Annual Northeast Bioengineering Conference

Y2 - 2 April 2005 through 3 April 2005

ER -

Determination of the variability of fMRI responses using deconvolution analysis

Abstract

All Science Journal Classification (ASJC) codes

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