Disentanglement of session and plasticity effects in longitudinal fMRI studies

Vittorio Iacovella, Paolo Avesani, Gabriele Miceli

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

Abstract

In longitudinal studies, such as those about neurocognitive rehabilitation or brain plasticity, functional MRI sessions are subsequently recorded to detect how the patterns of activation differs through time. Usually, consecutive recordings are interleaved by a period of treatment or training. The general purpose of fMRI data analysis is to compute a brain map accounting for plasticity effects on BOLD response. Specifically, the challenge of longitudinal studies analysis is to disentangle plain session effect from the plasticity one. To date, a commonly used practice is to separately compute these two effects and then combine results through a comparison. The brain map for session effect is obtained with a univariate analysis of the contrast between two subsequent recordings. We argue that such a brain map includes also the bias of the coregistration error related to the alignment of two sessions. Here we do not propose a method to reduce the coregistration error but a method to reduce the effect of this bias when estimating the session effect. We show how, combining functional hyperalignment and multivariate pattern analysis, it is possible to summarize a single brain map that accounts for plasticity effect without the session effect.

Original languageEnglish
Title of host publicationMachine Learning in Medical Imaging
Subtitle of host publication4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013. Proceedings
EditorsGuorong Wu, Daoqiang Zhang, Dinggang Shen, Pingkun Yan, Kenji Suzuki, Fei Wang
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages155-162
Number of pages8
ISBN (Print)9783319022666, 9783319022673
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan
Duration: 22 Sep 201322 Sep 2013

Publication series

NameLecture Notes in Computer Science
Volume8184
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
CountryJapan
CityNagoya
Period22/09/1322/09/13

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