Evidence map›Paper›PMID 41819818›Full record

ArticleeNeuro2026

Aperiodicity in Mouse CA1 and DG Power Spectra.

Gustav Kühn, Hussin El Rashidy, Federico Calegari, Shonali Dhingra

Abstract read
In one paragraph

Article in eNeuro, 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.

Gustav KühnCenter for Regenerative Therapies TU Dresden, Technische Universität Dresden, Dresden 01307, Germany.ORCID 0009-0002-2430-2663
Hussin El RashidyCenter for Regenerative Therapies TU Dresden, Technische Universität Dresden, Dresden 01307, Germany.
Federico CalegariCenter for Regenerative Therapies TU Dresden, Technische Universität Dresden, Dresden 01307, Germany federico.calegari@tu-dresden.de.
Shonali DhingraCenter for Regenerative Therapies TU Dresden, Technische Universität Dresden, Dresden 01307, Germany.ORCID 0009-0007-0831-699X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rodent hippocampal power spectra comprise periodic and aperiodic components. The periodic components (brain rhythms) contain information about the behavioral or cognitive state of the animal. The aperiodic components are rarely studied, and their functionality is not well understood, though they have shown to be correlated with animal's age or the excitation-inhibition ratio of the brain region. To study these components in the mouse hippocampus, we modified the existing open-source FOOOF toolbox, which was originally optimized for EEG data. First, using simulated data, we show that our modifications decrease the error in assessment of the low frequency periodic components from 3 to 0.1%. Second, using tetrode electrophysiological signals from adult males, we compare the aperiodic activity within mice hippocampal subregions, CA1 and dentate gyrus (DG). Our optimization of FOOOF improved the aperiodic assessment errors by ∼50% and were critical in making the first assessment of the aperiodic components in these brain regions. Our results show significantly larger aperiodic exponents and knee frequencies in the DG than in CA1, which have been proposed to correlate with lower excitation and shorter timescales. Our work highlights the subtle differences in electrophysiology field potentials between hippocampal subregions and presents the improvements needed in the existing open-source toolbox to be able to see such differences.

Indexed as

Brain WavesCA1 Region, HippocampalDentate GyrusAnimalsComputer SimulationElectroencephalographyMaleMiceMice, Inbred C57BLSignal Processing, Computer-AssistedaperiodicityCA1dentate gyruselectrophysiologyhippocampuslocal field potential

Identifiers

PMID41819818
PMCPMC13064425

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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.