“Evaluating acquisition time of rfmri in the human connectome project for early psychosis. How much is enough?”

Sylvain Bouix, Sophia Swago, John D. West, Ofer Pasternak, Alan Breier, Martha E. Shenton

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

1 Scopus citations

Abstract

Resting-state functional MRI (rfMRI) correlates activity across brain regions to identify functional connectivity networks. The Human Connectome Project (HCP) for Early Psychosis has adopted the protocol of the HCP Lifespan Project, which collects 20 min of rfMRI data. However, because it is difficult for psychotic patients to remain in the scanner for long durations, we investigate here the reliability of collecting less than 20 min of rfMRI data. Varying durations of data were taken from the full datasets of 11 subjects. Correlation matrices derived from varying amounts of data were compared using the Bhattacharyya distance, and the reliability of functional network ranks was assessed using the Friedman test. We found that correlation matrix reliability improves steeply with longer windows of data up to 11–12 min, and ≥14 min of data produces correlation matrices within the variability of those produced by 18 min of data. The reliability of network connectivity rank increases with increasing durations of data, and qualitatively similar connectivity ranks for ≥10 min of data indicates that 10 min of data can still capture robust information about network connectivities.

Original languageEnglish (US)
Title of host publicationConnectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings
EditorsLeonardo Bonilha, Guorong Wu, Paul Laurienti, Brent C. Munsell
PublisherSpringer Verlag
Pages108-115
Number of pages8
ISBN (Print)9783319671581
DOIs
StatePublished - Jan 1 2017
Event1st International Workshop on Connectomics in NeuroImaging, CNI 2017 held in conjunction with the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 - Quebec City, Canada
Duration: Sep 14 2017Sep 14 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10511 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Connectomics in NeuroImaging, CNI 2017 held in conjunction with the 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017
CountryCanada
CityQuebec City
Period9/14/179/14/17

Keywords

  • Acquisition time
  • Bhattacharyya distance
  • Resting state

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of '“Evaluating acquisition time of rfmri in the human connectome project for early psychosis. How much is enough?”'. Together they form a unique fingerprint.

  • Cite this

    Bouix, S., Swago, S., West, J. D., Pasternak, O., Breier, A., & Shenton, M. E. (2017). “Evaluating acquisition time of rfmri in the human connectome project for early psychosis. How much is enough?”. In L. Bonilha, G. Wu, P. Laurienti, & B. C. Munsell (Eds.), Connectomics in NeuroImaging - 1st International Workshop, CNI 2017 Held in Conjunction with MICCAI 2017, Proceedings (pp. 108-115). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10511 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-67159-8_13