Inhalation-modulated detection of olfactory BOLD responses in the human brain
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
INTRODUCTION: In contrast to other sensory domains, detection of primary olfactory processes using functional magnetic resonance imaging has proven to be notably challenging with conventional block designs. This difficulty arises from significant habituation and hemodynamic responses in olfactory areas that do not appear to align with extended boxcar functions convolved with a generic hemodynamic response model. Consequently, some researchers have advocated for a transition to event-related designs, despite their known lower detection power compared to block designs.
METHODS: Here, we conducted a block design experiment with 16s of continuous odorant stimulation alternating with 16s of continuous odorless air stimulation in 33 healthy participants. We compared four statistical analyses that relied either on standard block designs (SBD1-2) or on block designs that were modulated by the participants' individual breathing patterns (MBD1-2).
RESULTS: We found that such modulated block designs were comparatively more powerful than standard block designs, despite having a substantially lower design efficiency. Using whole-brain effect size maps, we observed that the right insular and medial aspects of the left piriform cortex exhibited a preference for a breathing-modulated analysis approach.
DISCUSSION: Research in olfaction that necessitates designs with longer-lasting blocks, such as those employed in the investigation of state-dependent processing, will benefit from the breathing-modulated analyses outlined in this study.
Details
Original language | English |
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Article number | 1260893 |
Journal | Frontiers in neuroimaging |
Volume | 2 |
Publication status | Published - Jan 2023 |
Peer-reviewed | Yes |
External IDs
PubMedCentral | PMC10725246 |
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ORCID | /0000-0001-9713-0183/work/149439356 |
Mendeley | 73d071ce-7580-38f6-a0ae-99bd2535cc12 |
unpaywall | 10.3389/fnimg.2023.1260893 |