Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes

Diana O. Svaldi, Joaquín Goñi, Apoorva Bharthur Sanjay, Enrico Amico, Shannon L. Risacher, John D. West, Mario Dzemidzic, Andrew Saykin, Liana Apostolova

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

1 Citation (Scopus)

Abstract

Alzheimer’s disease (AD) is the only major cause of mortality in the world without an effective disease modifying treatment. Evidence supporting the so called “disconnection hypothesis” suggests that functional connectivity biomarkers may have clinical potential for early detection of AD. However, known issues with low test-retest reliability and signal to noise in functional connectivity may prevent accuracy and subsequent predictive capacity. We validate the utility of a novel principal component based diagnostic identifiability framework to increase separation in functional connectivity across the Alzheimer’s spectrum by identifying and reconstructing FC using only AD sensitive components or connectivity modes. We show that this framework (1) increases test-retest correspondence and (2) allows for better separation, in functional connectivity, of diagnostic groups both at the whole brain and individual resting state network level. Finally, we evaluate a posteriori the association between connectivity mode weights with longitudinal neurocognitive outcomes.

Original languageEnglish (US)
Title of host publicationGraphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings
EditorsDanail Stoyanov, Aristeidis Sotiras, Bartlomiej Papiez, Adrian V. Dalca, Anne Martel, Sarah Parisot, Enzo Ferrante, Lena Maier-Hein, Mert R. Sabuncu, Li Shen, Zeike Taylor
PublisherSpringer Verlag
Pages74-82
Number of pages9
ISBN (Print)9783030006884
DOIs
StatePublished - Jan 1 2018
Event2nd International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and 1st International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018 Held in Conjunction with 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: Sep 20 2018Sep 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11044 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and 1st International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018 Held in Conjunction with 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018
CountrySpain
CityGranada
Period9/20/189/20/18

Fingerprint

Alzheimer's Disease
Identifiability
Diagnostics
Connectivity
Biomarkers
Brain
Association reactions
Principal Components
Mortality
Correspondence
Evaluate

Keywords

  • Alzheimer’s disease
  • Functional connectivity
  • Principal component analysis
  • Resting state fMRI

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Svaldi, D. O., Goñi, J., Bharthur Sanjay, A., Amico, E., Risacher, S. L., West, J. D., ... Apostolova, L. (2018). Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes. In D. Stoyanov, A. Sotiras, B. Papiez, A. V. Dalca, A. Martel, S. Parisot, E. Ferrante, L. Maier-Hein, M. R. Sabuncu, L. Shen, ... Z. Taylor (Eds.), Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings (pp. 74-82). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11044 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-00689-1_8

Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes. / Svaldi, Diana O.; Goñi, Joaquín; Bharthur Sanjay, Apoorva; Amico, Enrico; Risacher, Shannon L.; West, John D.; Dzemidzic, Mario; Saykin, Andrew; Apostolova, Liana.

Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. ed. / Danail Stoyanov; Aristeidis Sotiras; Bartlomiej Papiez; Adrian V. Dalca; Anne Martel; Sarah Parisot; Enzo Ferrante; Lena Maier-Hein; Mert R. Sabuncu; Li Shen; Zeike Taylor. Springer Verlag, 2018. p. 74-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11044 LNCS).

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

Svaldi, DO, Goñi, J, Bharthur Sanjay, A, Amico, E, Risacher, SL, West, JD, Dzemidzic, M, Saykin, A & Apostolova, L 2018, Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes. in D Stoyanov, A Sotiras, B Papiez, AV Dalca, A Martel, S Parisot, E Ferrante, L Maier-Hein, MR Sabuncu, L Shen & Z Taylor (eds), Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11044 LNCS, Springer Verlag, pp. 74-82, 2nd International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2018 and 1st International Workshop on Integrating Medical Imaging and Non-Imaging Modalities, Beyond MIC 2018 Held in Conjunction with 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, Granada, Spain, 9/20/18. https://doi.org/10.1007/978-3-030-00689-1_8
Svaldi DO, Goñi J, Bharthur Sanjay A, Amico E, Risacher SL, West JD et al. Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes. In Stoyanov D, Sotiras A, Papiez B, Dalca AV, Martel A, Parisot S, Ferrante E, Maier-Hein L, Sabuncu MR, Shen L, Taylor Z, editors, Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. Springer Verlag. 2018. p. 74-82. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-00689-1_8
Svaldi, Diana O. ; Goñi, Joaquín ; Bharthur Sanjay, Apoorva ; Amico, Enrico ; Risacher, Shannon L. ; West, John D. ; Dzemidzic, Mario ; Saykin, Andrew ; Apostolova, Liana. / Towards subject and diagnostic identifiability in the alzheimer’s disease spectrum based on functional connectomes. Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities - 2nd International Workshop, GRAIL 2018 and 1st International Workshop, Beyond MIC 2018 Held in Conjunction with MICCAI 2018, Proceedings. editor / Danail Stoyanov ; Aristeidis Sotiras ; Bartlomiej Papiez ; Adrian V. Dalca ; Anne Martel ; Sarah Parisot ; Enzo Ferrante ; Lena Maier-Hein ; Mert R. Sabuncu ; Li Shen ; Zeike Taylor. Springer Verlag, 2018. pp. 74-82 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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