Evidence map›Paper›PMID 42327160›Full record

ArticlebioRxiv : the preprint server for biology2026

Intensity-dependent topographical expansion of sensory representations.

Li-Bo Zhang, Amin Dehghani, Li Hu, Patrick Sadil, Liz Losin, Martin A Lindquist, Tor D Wager

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Li-Bo ZhangDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.ORCID 0000-0001-7500-7985
Amin DehghaniDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.
Li HuState Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Patrick SadilDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0003-4141-1343
Liz LosinDepartment of Biobehavioral Health, Pennsylvania State University, University Park, PA, USA.
Martin A LindquistDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Tor D WagerDepartment of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA.

Funding

Individualized spatial topology in functional neuroimagingR01EB026549 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Abhirup Datta, Martin Lindquist · 2018 to 2026
$4.5M
The neural bases of placebo effects and their relation to regulatory processesR37MH076136 · NIMH · DARTMOUTH COLLEGE · PI TOR D. WAGER · 2024 to 2026
$2.4M
NIBIB NIH HHS R01 EB026549NIMH NIH HHS R37 MH076136
6 · The paper itself

Abstract

Neuroimaging studies typically assume that sensory properties are encoded in response magnitude within fixed neural populations. However, this approach does not capture changes in the spatial extent of activation topography, despite growing evidence for its behavioral relevance. Stimulus intensity provides a powerful test case for the role of activation topography as a coding feature because it is a basic, parametrically varying property shared across sensory modalities. Using a Bayes factor-based approach and four functional magnetic resonance imaging datasets (three large-scale datasets [total N = 609] and one precision dataset [>2300 trials]), we tested whether higher-intensity stimulation is associated with expansion of activation topography. Participants received sensory stimuli of varying intensities in somatosensory (heat, laser, tactile), auditory, and visual modalities. High- versus low-intensity painful stimulation consistently produced topographical expansion in areas including the primary somatosensory, posterior midcingulate, primary visual cortices, and cerebellar lobules V and VI. This result replicated across two independent large-scale datasets and within individual participants in the precision dataset. Expansion was also observed for tactile, auditory, and visual stimulation, and its extent correlated with psychophysical discriminability. Topographical expansion involved both the enlargement of already-activated areas and the recruitment of novel regions. These findings establish topographical expansion as a replicable feature of intensity coding, challenging the prevailing assumption of a fixed neural topography.

Indexed as

Bayesian statisticsneural recruitmentsensory codingstimulus intensitytopographical expansion

Identifiers

PMID42327160
PMCPMC13278006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.