Importance of realignment parameters in fMRI data analysis

Raheel Zafar; Aamir Saeed Malik; Nidal Kamel; Sarat C. Dass

doi:10.1109/ICSIPA.2015.7412251

Importance of realignment parameters in fMRI data analysis

Raheel Zafar^*, Aamir Saeed Malik, Nidal Kamel, Sarat C. Dass

^*Corresponding author for this work

School of Mathematical & Computer Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

Functional magnetic resonance imaging (fMRI) is one of the finest modality to measure brain activity. Two main steps in the analysis of fMRI data are pre-processing and the statistical analysis. Pre-processing is equally an important part because it takes raw data from the scanner and prepares it for the statistical analysis. This study first explains the realignment during preprocessing and then the importance of realignment parameters (one of nuisance parameters) in General Linear model (GLM). Nuisance regressors are used to reduce noise only and are effect of no interest. In this study, it is concluded that realignment parameters have a significant effect in the model estimation because the results are improved with these parameters especially when large head movement is found during data acquisition.

Original language	English
Title of host publication	2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)
Publisher	IEEE
Pages	546-550
Number of pages	5
ISBN (Electronic)	9781479989966
DOIs	https://doi.org/10.1109/ICSIPA.2015.7412251
Publication status	Published - 25 Feb 2016
Event	4th IEEE International Conference on Signal and Image Processing Applications 2015 - Kuala Lumpur, Malaysia Duration: 19 Oct 2015 → 21 Oct 2015

Conference

Conference	4th IEEE International Conference on Signal and Image Processing Applications 2015
Abbreviated title	ICSIPA 2015
Country/Territory	Malaysia
City	Kuala Lumpur
Period	19/10/15 → 21/10/15

Keywords

fMRI
GLM
Nuisance regressors
Realignment

ASJC Scopus subject areas

Computer Science Applications
Signal Processing

Access to Document

10.1109/ICSIPA.2015.7412251

Cite this

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title = "Importance of realignment parameters in fMRI data analysis",

abstract = "Functional magnetic resonance imaging (fMRI) is one of the finest modality to measure brain activity. Two main steps in the analysis of fMRI data are pre-processing and the statistical analysis. Pre-processing is equally an important part because it takes raw data from the scanner and prepares it for the statistical analysis. This study first explains the realignment during preprocessing and then the importance of realignment parameters (one of nuisance parameters) in General Linear model (GLM). Nuisance regressors are used to reduce noise only and are effect of no interest. In this study, it is concluded that realignment parameters have a significant effect in the model estimation because the results are improved with these parameters especially when large head movement is found during data acquisition.",

keywords = "fMRI, GLM, Nuisance regressors, Realignment",

author = "Raheel Zafar and Malik, \{Aamir Saeed\} and Nidal Kamel and Dass, \{Sarat C.\}",

year = "2016",

month = feb,

day = "25",

doi = "10.1109/ICSIPA.2015.7412251",

language = "English",

pages = "546--550",

booktitle = "2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)",

publisher = "IEEE",

address = "United States",

note = "4th IEEE International Conference on Signal and Image Processing Applications 2015, ICSIPA 2015 ; Conference date: 19-10-2015 Through 21-10-2015",

}

Zafar, R, Malik, AS, Kamel, N & Dass, SC 2016, Importance of realignment parameters in fMRI data analysis. in 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA). IEEE, pp. 546-550, 4th IEEE International Conference on Signal and Image Processing Applications 2015, Kuala Lumpur, Malaysia, 19/10/15. https://doi.org/10.1109/ICSIPA.2015.7412251

TY - GEN

T1 - Importance of realignment parameters in fMRI data analysis

AU - Zafar, Raheel

AU - Malik, Aamir Saeed

AU - Kamel, Nidal

AU - Dass, Sarat C.

PY - 2016/2/25

Y1 - 2016/2/25

N2 - Functional magnetic resonance imaging (fMRI) is one of the finest modality to measure brain activity. Two main steps in the analysis of fMRI data are pre-processing and the statistical analysis. Pre-processing is equally an important part because it takes raw data from the scanner and prepares it for the statistical analysis. This study first explains the realignment during preprocessing and then the importance of realignment parameters (one of nuisance parameters) in General Linear model (GLM). Nuisance regressors are used to reduce noise only and are effect of no interest. In this study, it is concluded that realignment parameters have a significant effect in the model estimation because the results are improved with these parameters especially when large head movement is found during data acquisition.

AB - Functional magnetic resonance imaging (fMRI) is one of the finest modality to measure brain activity. Two main steps in the analysis of fMRI data are pre-processing and the statistical analysis. Pre-processing is equally an important part because it takes raw data from the scanner and prepares it for the statistical analysis. This study first explains the realignment during preprocessing and then the importance of realignment parameters (one of nuisance parameters) in General Linear model (GLM). Nuisance regressors are used to reduce noise only and are effect of no interest. In this study, it is concluded that realignment parameters have a significant effect in the model estimation because the results are improved with these parameters especially when large head movement is found during data acquisition.

KW - fMRI

KW - GLM

KW - Nuisance regressors

KW - Realignment

UR - https://www.scopus.com/pages/publications/84971671970

U2 - 10.1109/ICSIPA.2015.7412251

DO - 10.1109/ICSIPA.2015.7412251

M3 - Conference contribution

AN - SCOPUS:84971671970

SP - 546

EP - 550

BT - 2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

PB - IEEE

T2 - 4th IEEE International Conference on Signal and Image Processing Applications 2015

Y2 - 19 October 2015 through 21 October 2015

ER -

Importance of realignment parameters in fMRI data analysis

Abstract

Conference

Keywords

ASJC Scopus subject areas

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