Reliability estimation of grouped functional imaging data using penalized maximum likelihood

Rao P. Gullapalli, Ranjan Maitra, Steve Roys, Gerald Smith, Gad Alon, Joel Daniel Greenspan

Research output: Contribution to journalArticle

Abstract

We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of penalized maximum likelihood (ML). Specifically, this technique was applied to a somatosensory paradigm that used a mechanical probe to provide noxious stimuli to the foot, and a paradigm consisting of four levels of graded peripheral neuromuscular electrical stimulation (NMES). in each case, reliability maps of activation were generated. Receiver operating characteristic (ROC) curves were constructed in the case of the graded NMES paradigm for each level of stimulation, which revealed an increase in the specificity of activation with increasing stimulation levels. In addition, penalized ML was used to determine whether the grouped reliability maps obtained from one stimulus level were significantly different from those obtained at other levels. The results show a significant difference (P <0.01) in the reliability of activation from one stimulation level to the next. These results are in agreement with those obtained using generalized linear modeling (GLM). While the reliability maps generated are not directly comparable, they are qualitatively similar to those obtained by controlling the expected false discovery rate (FDR). The proposed methodology can be used to objectively compare activation maps between groups, as well as to perform reliability assessments. Furthermore, this method potentially can be used to assess the longitudinal effect of treatment therapies within a group.

Original languageEnglish (US)
Pages (from-to)1126-1134
Number of pages9
JournalMagnetic Resonance in Medicine
Volume53
Issue number5
DOIs
StatePublished - May 2005
Externally publishedYes

Fingerprint

Electric Stimulation
ROC Curve
Foot
Magnetic Resonance Imaging
Therapeutics

Keywords

  • fMRI
  • Group analysis
  • Iterated conditional modes
  • Reliability
  • ROC analysis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Reliability estimation of grouped functional imaging data using penalized maximum likelihood. / Gullapalli, Rao P.; Maitra, Ranjan; Roys, Steve; Smith, Gerald; Alon, Gad; Greenspan, Joel Daniel.

In: Magnetic Resonance in Medicine, Vol. 53, No. 5, 05.2005, p. 1126-1134.

Research output: Contribution to journalArticle

Gullapalli, Rao P. ; Maitra, Ranjan ; Roys, Steve ; Smith, Gerald ; Alon, Gad ; Greenspan, Joel Daniel. / Reliability estimation of grouped functional imaging data using penalized maximum likelihood. In: Magnetic Resonance in Medicine. 2005 ; Vol. 53, No. 5. pp. 1126-1134.
@article{d02ee791fb5a4ed1a14f3437670ad616,
title = "Reliability estimation of grouped functional imaging data using penalized maximum likelihood",
abstract = "We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of penalized maximum likelihood (ML). Specifically, this technique was applied to a somatosensory paradigm that used a mechanical probe to provide noxious stimuli to the foot, and a paradigm consisting of four levels of graded peripheral neuromuscular electrical stimulation (NMES). in each case, reliability maps of activation were generated. Receiver operating characteristic (ROC) curves were constructed in the case of the graded NMES paradigm for each level of stimulation, which revealed an increase in the specificity of activation with increasing stimulation levels. In addition, penalized ML was used to determine whether the grouped reliability maps obtained from one stimulus level were significantly different from those obtained at other levels. The results show a significant difference (P <0.01) in the reliability of activation from one stimulation level to the next. These results are in agreement with those obtained using generalized linear modeling (GLM). While the reliability maps generated are not directly comparable, they are qualitatively similar to those obtained by controlling the expected false discovery rate (FDR). The proposed methodology can be used to objectively compare activation maps between groups, as well as to perform reliability assessments. Furthermore, this method potentially can be used to assess the longitudinal effect of treatment therapies within a group.",
keywords = "fMRI, Group analysis, Iterated conditional modes, Reliability, ROC analysis",
author = "Gullapalli, {Rao P.} and Ranjan Maitra and Steve Roys and Gerald Smith and Gad Alon and Greenspan, {Joel Daniel}",
year = "2005",
month = "5",
doi = "10.1002/mrm.20470",
language = "English (US)",
volume = "53",
pages = "1126--1134",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "John Wiley and Sons Inc.",
number = "5",

}

TY - JOUR

T1 - Reliability estimation of grouped functional imaging data using penalized maximum likelihood

AU - Gullapalli, Rao P.

AU - Maitra, Ranjan

AU - Roys, Steve

AU - Smith, Gerald

AU - Alon, Gad

AU - Greenspan, Joel Daniel

PY - 2005/5

Y1 - 2005/5

N2 - We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of penalized maximum likelihood (ML). Specifically, this technique was applied to a somatosensory paradigm that used a mechanical probe to provide noxious stimuli to the foot, and a paradigm consisting of four levels of graded peripheral neuromuscular electrical stimulation (NMES). in each case, reliability maps of activation were generated. Receiver operating characteristic (ROC) curves were constructed in the case of the graded NMES paradigm for each level of stimulation, which revealed an increase in the specificity of activation with increasing stimulation levels. In addition, penalized ML was used to determine whether the grouped reliability maps obtained from one stimulus level were significantly different from those obtained at other levels. The results show a significant difference (P <0.01) in the reliability of activation from one stimulation level to the next. These results are in agreement with those obtained using generalized linear modeling (GLM). While the reliability maps generated are not directly comparable, they are qualitatively similar to those obtained by controlling the expected false discovery rate (FDR). The proposed methodology can be used to objectively compare activation maps between groups, as well as to perform reliability assessments. Furthermore, this method potentially can be used to assess the longitudinal effect of treatment therapies within a group.

AB - We analyzed grouped fMRI data and developed a reliability analysis for such data using the method of penalized maximum likelihood (ML). Specifically, this technique was applied to a somatosensory paradigm that used a mechanical probe to provide noxious stimuli to the foot, and a paradigm consisting of four levels of graded peripheral neuromuscular electrical stimulation (NMES). in each case, reliability maps of activation were generated. Receiver operating characteristic (ROC) curves were constructed in the case of the graded NMES paradigm for each level of stimulation, which revealed an increase in the specificity of activation with increasing stimulation levels. In addition, penalized ML was used to determine whether the grouped reliability maps obtained from one stimulus level were significantly different from those obtained at other levels. The results show a significant difference (P <0.01) in the reliability of activation from one stimulation level to the next. These results are in agreement with those obtained using generalized linear modeling (GLM). While the reliability maps generated are not directly comparable, they are qualitatively similar to those obtained by controlling the expected false discovery rate (FDR). The proposed methodology can be used to objectively compare activation maps between groups, as well as to perform reliability assessments. Furthermore, this method potentially can be used to assess the longitudinal effect of treatment therapies within a group.

KW - fMRI

KW - Group analysis

KW - Iterated conditional modes

KW - Reliability

KW - ROC analysis

UR - http://www.scopus.com/inward/record.url?scp=18244376144&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=18244376144&partnerID=8YFLogxK

U2 - 10.1002/mrm.20470

DO - 10.1002/mrm.20470

M3 - Article

C2 - 15844146

AN - SCOPUS:18244376144

VL - 53

SP - 1126

EP - 1134

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 5

ER -