Inhalation-modulated detection of olfactory BOLD responses in the human brain.

block designs breathing-modulated analysis design efficiency effect size maps functional magnetic resonance imaging habituation olfaction

Journal

Frontiers in neuroimaging
ISSN: 2813-1193
Titre abrégé: Front Neuroimaging
Pays: Switzerland
ID NLM: 9918402387106676

Informations de publication

Date de publication:
2023
Historique:
received: 18 07 2023
accepted: 02 11 2023
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 18 12 2023
Statut: epublish

Résumé

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. 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). 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. 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.

Identifiants

pubmed: 38107774
doi: 10.3389/fnimg.2023.1260893
pmc: PMC10725246
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1260893

Informations de copyright

Copyright © 2023 Alahäivälä, Thaploo, Wein, Seidel, Riebel, Hummel and Schwarzbach.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Aino-Lotta I Alahäivälä (AI)

Biomedical Imaging Group, Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.

Divesh Thaploo (D)

Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden, Germany.

Simon Wein (S)

Biomedical Imaging Group, Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.

Philipp Seidel (P)

Biomedical Imaging Group, Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.

Marco Riebel (M)

Biomedical Imaging Group, Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.

Thomas Hummel (T)

Interdisciplinary Center Smell and Taste, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden, Germany.

Jens Volkmar Schwarzbach (JV)

Biomedical Imaging Group, Department of Psychiatry and Psychotherapy, University of Regensburg, Regensburg, Germany.

Classifications MeSH