Poster No:
2343
Submission Type:
Abstract Submission
Authors:
Matthias Müller-Schrader1, Frederike Petzschner2, Jakob Heinzle1, Lars Kasper3, Katharina Wellstein1, Johanna Bayer4, Maria Engel5, Lilian Weber6, Klaas Prüssmann5, Klaas Stephan1
Institutions:
1Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich, Zurich, Zurich, 2Brown University, Providence, RI, 3University of Toronto, Toronto, Ontario, 4Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Gelderland, 5Institute for Biomedical Engineering, ETH Zürich & University of Zurich, Zurich, Zurich, 6Department of Psychiatry, University of Oxford, Oxford, Oxfordshire
First Author:
Co-Author(s):
Jakob Heinzle
Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich
Zurich, Zurich
Katharina Wellstein
Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich
Zurich, Zurich
Johanna Bayer
Donders Institute for Brain, Cognition and Behaviour
Nijmegen, Gelderland
Maria Engel
Institute for Biomedical Engineering, ETH Zürich & University of Zurich
Zurich, Zurich
Lilian Weber
Department of Psychiatry, University of Oxford
Oxford, Oxfordshire
Klaas Prüssmann
Institute for Biomedical Engineering, ETH Zürich & University of Zurich
Zurich, Zurich
Klaas Stephan
Translational Neuromodeling Unit (TNU), University of Zurich & ETH Zurich
Zurich, Zurich
Introduction:
Attention modulates the processing of exteroceptive stimuli, such as visual inputs (Moore et al. 2017). Potential mechanisms include top-down cortical projections to lower sensory regions and neuromodulatory transmitter release via projections from brainstem nuclei, both of which occur in layer-specific manners. By contrast, the impact of attention on the perception of bodily states (interoception) remains less explored. Here, we present a preregistered analysis of layered 7T fMRI data, focusing on the insula, a central area for interoception. We investigated whether insular subregions show different BOLD activity between attention to one's own heartbeat and attention to auditory sounds, and whether this difference varied between upper vs. lower cortical layers.
Methods:
40 participants performed a heartbeat attention task (Petzschner et al. 2019). In each block (duration 20s, 16 per run), participants were instructed to either focus on their heartbeat (interoceptive condition) or on continuously present auditory white noise (exteroceptive condition). The study was approved by the cantonal ethics committee of Zurich (2016-01297).
FMRI images were acquired on a Philips Achieva 7T MR system with quadrature transmit and 32-channel head receive coils, using a high-resolution single-shot spiral-out trajectory with 0.9 mm in-plane resolution (R=4, TE=15ms, 50ms readout duration), 36 slices (0.9mm/0.1mm slice-gap/TR=3.128s) and fat suppression module (SPIR). Images were reconstructed by inversion of an advanced signal model, taking sensitivity encoding and static and dynamic field inhomogeneities into account (Kasper et al. 2022).
Functional images were slice-timed, realigned and co-registered to an anatomical reference image. The first level GLM included two main regressors (attention to heart/sound), as well as regressors accounting for physiological noise, head motion, and motion censoring.
Layered masks (upper/lower) were created for each individual by combining anatomical masks of insular regions (Fan et al. 2016) with 25%/75%-equivolume-cortical depth masks (Waehnert et al. 2014) obtained by segmentation of T1-weighted images [0.8mm isotropic resolution] with Freesurfer) and a functional mask for the contrast attention to heart vs. sound (from all other subjects, p_cluster<0.05 with CDT p<0.001), see Figure 1.
Data processing and analyses followed a preregistered analysis plan (Müller-Schrader et al. 2023). A 2x2 repeated measures ANOVA was performed for each insular region (factors layer [upper/lower] and condition [attention to heart/sound]). We tested the layer-by-condition interaction and corrected for multiple comparisons across insular regions.

Results:
Complete fMRI data were available for 25 out of 40 participants. 19 datasets could be reconstructed with sufficient quality for layered analyses. Within the functional mask, three insular regions had notable activations (>10 activated voxels). Attention to heartbeats activated the regions more strongly than attention to sound, and this difference was greater in upper vs. lower layers (Figure 2). This layer-by-condition interaction was significant in both left (p=0.00036, F = 19.55) and right (p=0.002, F=13.233) dorsal dysgranular insula, and exhibited a continuous trend across cortical depth (Figure 2).
Conclusions:
Previous layered fMRI have examined exteroceptive (visual) attention effects, with diverse results (Mourik et al, 2023, Liu et al, 2021, Muckli et al, 2015). This study is the first to report layer-specific attention effects for interoceptive stimuli. Our preregistered analysis found that activation of the insula by attending to heartbeats vs. sounds was modulated by cortical depth, revealing a layer-by-condition interaction, with larger differences in the upper layer. Notably, it is possible that these layer differences may have been influenced by venous blood inflow effects (from lower to upper layers); we will investigate this in further analyses.
Modeling and Analysis Methods:
Activation (eg. BOLD task-fMRI)
Novel Imaging Acquisition Methods:
BOLD fMRI 1
Perception, Attention and Motor Behavior:
Attention: Auditory/Tactile/Motor
Perception: Multisensory and Crossmodal
Perception and Attention Other 2
Keywords:
FUNCTIONAL MRI
HIGH FIELD MR
Perception
Pre-registration
Other - Interoception; laminar fMRI; attention; Insula
1|2Indicates the priority used for review
Provide references using author date format
Fan, L. , et al. (2016), ‘The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture’. Cerebral Cortex (New York, N.Y.: 1991) 26 (8): 3508–26.
Kasper, L., et al. (2022), ‘Advances in Spiral fMRI: A High-Resolution Study with Single-Shot Acquisition’. NeuroImage 246 (February): 118738.
Liu, C., et al (2021) „Layer-dependent multiplicative effects of spatial attention on contrast responses in human early visual cortex“. Progress in Neurobiology, How high spatiotemporal resolution fMRI can advance neuroscience, 207 (1. Dezember 2021): 101897.
Moore, T., et al (2017) „Neural Mechanisms of Selective Visual Attention“. Annual Review of Psychology 68, Nr. 1 (2017): 47–72.
Mourik, T., et al (2023) „Investigation of Layer-Specific BOLD Signal in the Human Visual Cortex during Visual Attention“. Aperture Neuro 3 (29. August 2023): 1–18.
Muckli, L., et al (2015) „Contextual Feedback to Superficial Layers of V1“. Current Biology 25, Nr. 20 (19. Oktober 2015): 2690–95.
Müller-Schrader, M., et al (2023), ‘Analysis Plan: Layered Analysis of fMRI Data Acquired during Attention to Heartbeats’. Zenodo. https://doi.org/10.5281/zenodo.10015185.
Petzschner, F. H., et al (2019), ‘Focus of Attention Modulates the Heartbeat Evoked Potential’. NeuroImage 186: 595–606.
Waehnert, M. D., et al (2014), ‘Anatomically Motivated Modeling of Cortical Laminae’. NeuroImage, In-vivo Brodmann Mapping of the Human Brain, 93 (June): 210–20.