Long-term test-retest reliability of functional MRI in a classification learning task

Adam R. Aron, Mark A. Gluck, Russell A. Poldrack

Research output: Contribution to journalArticlepeer-review

155 Scopus citations

Abstract

Functional MRI is widely used for imaging the neural correlates of psychological processes and how these brain processes change with learning, development and neuropsychiatric disorder. In order to interpret changes in imaging signals over time, for example, in patient studies, the long-term reliability of fMRI must first be established. Here, eight healthy adult subjects were scanned on two sessions, 1 year apart, while performing a classification learning task known to activate frontostriatal circuitry. We show that behavioral performance and frontostriatal activation were highly concordant at a group level at both time-points. Furthermore, intra-class correlation coefficients (ICCs), which index the degree of correlation between subjects at different time-points, were high for behavior and for functional activation. ICC was significantly higher within the network recruited by learning than outside that network. We conclude that fMRI can have high long-term test-retest reliability, making it suitable as a biomarker for brain development and neurodegeneration.

Original languageEnglish (US)
Pages (from-to)1000-1006
Number of pages7
JournalNeuroImage
Volume29
Issue number3
DOIs
StatePublished - Feb 1 2006

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience

Keywords

  • Basal ganglia
  • Intra-class correlation
  • Longitudinal study
  • Neurodegenerative disease
  • Probabilistic classification learning

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