4.7 Article

Multi -band FMRI compromises detection of mesolimbic reward responses

期刊

NEUROIMAGE
卷 244, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.118617

关键词

Multi-band; Functional magnetic resonance imaging; Monetary incentive delay; Reward; Anticipation; Accumbens; Frontal; Human

资金

  1. Neurochoice Initiative Big Ideas grant from Stanford's Wu Tsai Neurosciences Institute
  2. National Institute of Health [5P50DA04201205]

向作者/读者索取更多资源

The study found that compared to single-band scanning, using multi-band scanning significantly reduces the detection of reward anticipation activity in the NAcc. Additionally, reductions in the temporal signal-to-noise ratio may account for compromised detection of task-related responses in regions such as the NAcc.
Recent innovations in Functional Magnetic Resonance Imaging (FMRI) have sped data collection by enabling simultaneous scans of neural activity in multiple brain locations, but have these innovations come at a cost? In a meta-analysis and preregistered direct comparison of original data, we examined whether acquiring FMRI data with multi-band versus single-band scanning protocols might compromise detection of mesolimbic activity during reward processing. Meta-analytic results ( n = 44 studies; cumulative n = 5005 subjects) indicated that relative to single-band scans, multi-band scans showed significantly decreased effect sizes for reward anticipation in the Nucleus Accumbens (NAcc) by more than half. Direct within-subject comparison of single-band versus multi band scanning data (multi-band factors = 4 and 8; n = 12 subjects) acquired during repeated administration of the Monetary Incentive Delay task indicated that reductions in temporal signal-to-noise ratio could account for compromised detection of task-related responses in mesolimbic regions (i.e., the NAcc). Together, these findings imply that researchers should opt for single-band over multi-band scanning protocols when probing mesolimbic responses with FMRI. The findings also have implications for inferring mesolimbic activity during related tasks and rest, for summarizing historical results, and for using neuroimaging data to track individual differences in reward-related brain activity.

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