A Joint Analysis of Multi-Paradigm fMRI Data with Its Application to Cognitive Study

Yuntong Bai, Yun Gong, Jianchao Bai, Jingyu Liu, Hong Wen Deng, Vince Calhoun, Yu Ping Wang

Research output: Contribution to journalArticlepeer-review


With the development of neuroimaging techniques, a growing amount of multi-modal brain imaging data are collected, facilitating comprehensive study of the brain. In this paper, we jointly analyzed functional magnetic resonance imaging (fMRI) collected under different paradigms in order to understand cognitive behaviors of an individual. To this end, we proposed a novel multi-view learning algorithm called structure-enforced collaborative regression (SCoRe) to extract co-expressed discriminative brain regions under the guidance of anatomical structure of the brain. An advantage of SCoRe over its predecessor collaborative regression (CoRe) lies in its incorporation of group structures in the brain imaging data, which makes the model biologically more meaningful. Results from real data analysis has confirmed that by incorporating prior knowledge of brain structure, SCoRe can deliver better prediction performance and is less sensitive to hyper-parameters than CoRe. After validation with simulation experiments, we applied SCoRe to fMRI data collected from the Philadelphia Neurodevelopmental Cohort and adopted the scores from the wide range achievement test (WRAT) to evaluate an individual's cognitive skills. We located 14 relevant brain regions that can efficiently predict WRAT scores and these brain regions were further confirmed by other independent studies.

Original languageEnglish (US)
Article number9284595
Pages (from-to)951-962
Number of pages12
JournalIEEE transactions on medical imaging
Issue number3
StatePublished - Mar 2021
Externally publishedYes


  • Multi-task fMRI
  • canonical correlation analysis
  • collaborative learning
  • feature selection
  • group information
  • sparse group lasso

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


Dive into the research topics of 'A Joint Analysis of Multi-Paradigm fMRI Data with Its Application to Cognitive Study'. Together they form a unique fingerprint.

Cite this