Mixed-effects multilevel analysis followed by canonical correlation analysis is an effective fMRI tool for the investigation of idiosyncrasies

Sungman Jo, Hyun Chul Kim, Niv Lustig, Gang Chen, Jong Hwan Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We report that regions-of-interest (ROIs) associated with idiosyncratic individual behavior can be identified from functional magnetic resonance imaging (fMRI) data using statistical approaches that explicitly model individual variability in neuronal activations, such as mixed-effects multilevel analysis (MEMA). We also show that the relationship between neuronal activation in fMRI and behavioral data can be modeled using canonical correlation analysis (CCA). A real-world dataset for the neuronal response to nicotine use was acquired using a custom-made MRI-compatible apparatus for the smoking of electronic cigarettes (e-cigarettes). Nineteen participants smoked e-cigarettes in an MRI scanner using the apparatus with two experimental conditions: e-cigarettes with nicotine (ECIG) and sham e-cigarettes without nicotine (SCIG) and subjective ratings were collected. The right insula was identified in the ECIG condition from the χ2-test of the MEMA but not from the t-test, and the corresponding activations were significantly associated with the similarity scores (r = −.52, p =.041, confidence interval [CI] = [−0.78, −0.17]) and the urge-to-smoke scores (r =.73, p <.001, CI = [0.52, 0.88]). From the contrast between the two conditions (i.e., ECIG > SCIG), the right orbitofrontal cortex was identified from the χ2-tests, and the corresponding neuronal activations showed a statistically meaningful association with similarity (r = −.58, p =.01, CI = [−0.84, −0.17]) and the urge to smoke (r =.34, p =.15, CI = [0.09, 0.56]). The validity of our analysis pipeline (i.e., MEMA followed by CCA) was further evaluated using the fMRI and behavioral data acquired from the working memory and gambling tasks available from the Human Connectome Project.

Original languageEnglish
Pages (from-to)5374-5396
Number of pages23
JournalHuman Brain Mapping
Volume42
Issue number16
DOIs
Publication statusPublished - 2021 Nov

Keywords

  • canonical correlation analysis
  • electronic cigarette
  • functional MRI
  • Human Connectome Project
  • mixed-effects multilevel analysis
  • nicotine craving

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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