Evidence map›Paper›PMID 41787015›Full record

ArticleScientific reports2026

Comparing effective and functional connectivity.

Shigeru Shinomoto, Yasuhiro Tsubo

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Deriving functional network topology frombioRxiv : the preprint server for biology · 2026
    Article
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

2 authors.

Shigeru ShinomotoGraduate School of Biostudies, Kyoto University, 606-8501, Kyoto, Japan. shigerushinomoto@gmail.com.
Yasuhiro TsuboCollege of Information Science and Engineering, Ritsumeikan University, 567-8570, Osaka, Japan.

Funding

Japan Society for the Promotion of Science 22H05163
6 · The paper itself

Abstract

Information processing in the brain is thought to result from the coordination of large-scale neuronal activity. However, this activity occurs within fine neural circuits. In this study, we investigate the relationship between neuronal wiring and coherent activity. First, we estimate monosynaptic connectivity by applying an advanced analysis method to spike trains recorded with high-density microelectrodes and confirm that the estimated effective connectivity is broadly in line with neuroanatomical and neurophysiological evidence. Second, we estimate functional connectivity or the temporal correlation of calcium imaging signal between the same set of neurons, and confirm that the estimated functional connectivity is susceptible to influence of shared inputs and population synchronization on slower timescales. Notably, even with unrealistically fast time scale, the functional connectivity defined as the synchronous correlation, is only partially consistent with the effective connectivity estimated using advanced analytical techniques that pursue monosynaptic connections. These findings suggest the complementary roles for effective and functional connectivity: the former provides circuit-level specificity, while the latter reflects emergent system-wide patterns of activity. We propose that an integrative approach combining both perspectives is essential for understanding circuit-level computation in the brain.

Indexed as

BrainNerve NetNeuronsAction PotentialsAnimalsCalciumModels, NeurologicalCalcium

Identifiers

PMID41787015
PMCPMC13076884

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.