Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model

Jingwen Yan, Kefei Liu, Huang Lv, Enrico Amico, Shannon L. Risacher, Yu-Chien Wu, Shiaofen Fang, Olaf Sporns, Andrew Saykin, Joaquin Goni, Li Shen

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

Abstract

Early change in memory performance is a key symptom of many brain diseases, but its underlying mechanism remains largely unknown. While structural MRI has been playing an essential role in revealing potentially relevant brain regions, increasing availability of diffusion MRI data (e.g., Human Connectome Project (HCP)) provides excellent opportunities for exploration of their complex coordination. Given the complementary information held in these two imaging modalities, we hypothesize that studying them as a whole, rather than individually, and exploring their association will provide us valuable insights of the memory mechanism. However, many existing association methods, such as sparse canonical correlation analysis (SCCA), only manage to handle two-way association and thus cannot guarantee the selection of biomarkers and associations to be memory relevant. To overcome this limitation, we propose a new outcome-relevant SCCA model (OSCCA) together with a new algorithm to enable the three-way associations among brain connectivity, anatomic structure and episodic memory performance. In comparison with traditional SCCA, we demonstrate the effectiveness of our model with both synthetic and real data from the HCP cohort.

Original languageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages6-9
Number of pages4
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

Fingerprint

Connectome
Brain
Joints
Association reactions
Data storage equipment
Magnetic resonance imaging
Diffusion Magnetic Resonance Imaging
Episodic Memory
Coordination Complexes
Brain Diseases
Biomarkers
Availability
Imaging techniques

Keywords

  • Brain connectome
  • Memory performance
  • Three way sparse association

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Yan, J., Liu, K., Lv, H., Amico, E., Risacher, S. L., Wu, Y-C., ... Shen, L. (2018). Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 6-9). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363511

Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. / Yan, Jingwen; Liu, Kefei; Lv, Huang; Amico, Enrico; Risacher, Shannon L.; Wu, Yu-Chien; Fang, Shiaofen; Sporns, Olaf; Saykin, Andrew; Goni, Joaquin; Shen, Li.

2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. p. 6-9.

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

Yan, J, Liu, K, Lv, H, Amico, E, Risacher, SL, Wu, Y-C, Fang, S, Sporns, O, Saykin, A, Goni, J & Shen, L 2018, Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. vol. 2018-April, IEEE Computer Society, pp. 6-9, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363511
Yan J, Liu K, Lv H, Amico E, Risacher SL, Wu Y-C et al. Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April. IEEE Computer Society. 2018. p. 6-9 https://doi.org/10.1109/ISBI.2018.8363511
Yan, Jingwen ; Liu, Kefei ; Lv, Huang ; Amico, Enrico ; Risacher, Shannon L. ; Wu, Yu-Chien ; Fang, Shiaofen ; Sporns, Olaf ; Saykin, Andrew ; Goni, Joaquin ; Shen, Li. / Joint exploration and mining of memory-relevant brain anatomic and connectomic patterns via a three-way association model. 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. pp. 6-9
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