Evidence map›Paper›PMID 41834676›Full record

ArticleHuman brain mapping2026

Somatosensory Evoked BOLD-Signals With Ultra-High Temporal Resolution.

Sara Wesolek, Till Nierhaus, Dirk Ostwald, Felix Blankenburg

Abstract read
In one paragraph

Article in Human brain mapping, 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

4 authors.

Sara WesolekNeurocomputation and Neuroimaging Unit (NNU), Freie Universität Berlin, Berlin, Germany.
Till NierhausNeurocomputation and Neuroimaging Unit (NNU), Freie Universität Berlin, Berlin, Germany.
Dirk OstwaldInstitut für Psychologie, Otto-von-Guericke-Universität Magdeburg, Magdeburg, Germany.ORCID https://orcid.org/0000-0002-3530-1845
Felix BlankenburgNeurocomputation and Neuroimaging Unit (NNU), Freie Universität Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The blood oxygen level-dependent (BOLD) signal has been instrumental in characterizing brain activity. While the spatial resolution of fMRI continues to improve, relatively few methods have focused on enhancing and leveraging temporal resolution to investigate the spatiotemporal dynamics of the hemodynamic response. In this study, we applied a reordering method to achieve ultra-high temporal resolution (60 ms) in data acquired during a somatosensory stimulation paradigm. We then used a finite impulse response model (FIR) for each participant (N = 31) to preserve the temporal dynamics in the statistical analysis. At the group level, we employed an ANOVA combined with 4D nonparametric permutation testing to identify significant signal changes in time across the whole brain. Our results characterize the hemodynamic response in terms of both its temporal and spatial patterns and reveal distinct differences in response shapes within the somatosensory system. This method introduces a time-resolved approach to BOLD signal analysis, drawing inspiration from grand-average techniques commonly used in EEG research.

Indexed as

BrainBrain MappingEvoked Potentials, SomatosensoryMagnetic Resonance ImagingSomatosensory CortexAdultCerebrovascular CirculationFemaleHumansImage Processing, Computer-AssistedMaleOxygenTime FactorsYoung AdultOxygen4D fMRIfinite impulse response modelsfMRIS1S2somatosensory cortex

Identifiers

PMID41834676
PMCPMC13093736

What OpenQuestion holds

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Registered trials

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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.