Evidence map›Paper›PMID 38800466›Full record

ArticleNetwork neuroscience (Cambridge, Mass.)2022

FiNN: A toolbox for neurophysiological network analysis.

Maximilian Scherer, Tianlu Wang, Robert Guggenberger, Luka Milosevic, Alireza Gharabaghi

Abstract read
In one paragraph

Article in Network neuroscience (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Maximilian SchererInstitute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany.ORCID https://orcid.org/0000-0002-5280-2828
Tianlu WangInstitute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany.
Robert GuggenbergerInstitute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany.
Luka MilosevicInstitute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany.
Alireza GharabaghiInstitute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, neuroscience has seen a shift from localist approaches to network-wide investigations of brain function. Neurophysiological signals across different spatial and temporal scales provide insight into neural communication. However, additional methodological considerations arise when investigating network-wide brain dynamics rather than local effects. Specifically, larger amounts of data, investigated across a higher dimensional space, are necessary. Here, we present FiNN (

Indexed as

ConnectivityCross-frequency couplingNeural oscillationsPhase-amplitude coupling

Identifiers

PMID38800466
PMCPMC11117079

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.