Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria

Xi Lin Li, Sai Ma, Vince Daniel Calhoun, Tülay Adali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Estimation of the order of functional magnetic resonance imaging (fMRI) data is a crucial step in data-driven methods assuming a multivariate linear model. Use of information theoretic criteria for model order detection was proven useful but the sample dependence in fMRI data limits this usefulness. In this paper, we propose an iterative procedure that jointly estimates the downsampling depth and order of fMRI data, both by using information theoretic criteria. Experimental results on real-world fMRI data show reliable performance of the new method. Order analysis on auditory oddball task (AOD) data of healthy and schizophrenia subjects suggests that model order can be a promising biomarker for mental disorders.

Original languageEnglish (US)
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages1019-1022
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

Fingerprint

Joints
Magnetic Resonance Imaging
Biomarkers
Mental Disorders
Linear Models
Schizophrenia
Healthy Volunteers
Theoretical Models

Keywords

  • fMRI data
  • linear model
  • Order detection

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Li, X. L., Ma, S., Calhoun, V. D., & Adali, T. (2011). Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria. In Proceedings - International Symposium on Biomedical Imaging (pp. 1019-1022). [5872574] https://doi.org/10.1109/ISBI.2011.5872574

Order detection for fMRI analysis : Joint estimation of downsampling depth and order by information theoretic criteria. / Li, Xi Lin; Ma, Sai; Calhoun, Vince Daniel; Adali, Tülay.

Proceedings - International Symposium on Biomedical Imaging. 2011. p. 1019-1022 5872574.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, XL, Ma, S, Calhoun, VD & Adali, T 2011, Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria. in Proceedings - International Symposium on Biomedical Imaging., 5872574, pp. 1019-1022, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872574
Li XL, Ma S, Calhoun VD, Adali T. Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria. In Proceedings - International Symposium on Biomedical Imaging. 2011. p. 1019-1022. 5872574 https://doi.org/10.1109/ISBI.2011.5872574
Li, Xi Lin ; Ma, Sai ; Calhoun, Vince Daniel ; Adali, Tülay. / Order detection for fMRI analysis : Joint estimation of downsampling depth and order by information theoretic criteria. Proceedings - International Symposium on Biomedical Imaging. 2011. pp. 1019-1022
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