Patient classification of fMRI activation maps

James Ford, Hany Farid, Fillia Makedon, Laura A. Flashman, Thomas W. McAllister, Vasilis Megalooikonomou, Andrew Saykin

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

36 Citations (Scopus)

Abstract

The analysis of brain activations using functional magnetic resonance imaging (fMRI) is an active area of neuropsychological research. Standard techniques for analysis have traditionally focused on finding the most significant areas of brain activation, and have only recently begun to explore the importance of their spatial characteristics. We compare fMRI contrast images and significance maps to training sets of similar maps using the spatial distribution of activation values. We demonstrate that a Fisher linear discriminant (FLD) classifier for either type of map can differentiate patients from controls accurately for Alzheimer's disease, schizophrenia, and mild traumatic brain injury (MTBI).

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science
EditorsR.E. Ellis, T.M. Peters
Pages58-65
Number of pages8
Volume2879
EditionPART 2
StatePublished - 2003
Externally publishedYes
EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
Duration: Nov 15 2003Nov 18 2003

Other

OtherMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings
CountryCanada
CityMontreal, Que.
Period11/15/0311/18/03

Fingerprint

Brain
Chemical activation
Spatial distribution
Classifiers
Magnetic Resonance Imaging

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Engineering(all)

Cite this

Ford, J., Farid, H., Makedon, F., Flashman, L. A., McAllister, T. W., Megalooikonomou, V., & Saykin, A. (2003). Patient classification of fMRI activation maps. In R. E. Ellis, & T. M. Peters (Eds.), Lecture Notes in Computer Science (PART 2 ed., Vol. 2879, pp. 58-65)

Patient classification of fMRI activation maps. / Ford, James; Farid, Hany; Makedon, Fillia; Flashman, Laura A.; McAllister, Thomas W.; Megalooikonomou, Vasilis; Saykin, Andrew.

Lecture Notes in Computer Science. ed. / R.E. Ellis; T.M. Peters. Vol. 2879 PART 2. ed. 2003. p. 58-65.

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

Ford, J, Farid, H, Makedon, F, Flashman, LA, McAllister, TW, Megalooikonomou, V & Saykin, A 2003, Patient classification of fMRI activation maps. in RE Ellis & TM Peters (eds), Lecture Notes in Computer Science. PART 2 edn, vol. 2879, pp. 58-65, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings, Montreal, Que., Canada, 11/15/03.
Ford J, Farid H, Makedon F, Flashman LA, McAllister TW, Megalooikonomou V et al. Patient classification of fMRI activation maps. In Ellis RE, Peters TM, editors, Lecture Notes in Computer Science. PART 2 ed. Vol. 2879. 2003. p. 58-65
Ford, James ; Farid, Hany ; Makedon, Fillia ; Flashman, Laura A. ; McAllister, Thomas W. ; Megalooikonomou, Vasilis ; Saykin, Andrew. / Patient classification of fMRI activation maps. Lecture Notes in Computer Science. editor / R.E. Ellis ; T.M. Peters. Vol. 2879 PART 2. ed. 2003. pp. 58-65
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