Evidence map›Paper›PMID 41868168›Full record

ArticleAperture neuro2024

covSTATIS: a multi-table technique for network neuroscience.

Giulia Baracchini, Ju-Chi Yu, Jenny Rieck, Derek Beaton, Vincent Guillemot, Cheryl Grady, Hervé Abdi, R Nathan Spreng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Aperture neuro, 2024. 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. 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

8 authors.

Giulia BaracchiniMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montréal, Canada.
Ju-Chi YuCampbell Family Mental Health Institute, Centre for Addiction and Mental Health, Toronto, Canada.
Jenny RieckRotman Research Institute at Baycrest, Toronto, Canada.
Derek BeatonData Science & Advanced Analytics, Unity Health Toronto, Toronto, Canada.
Vincent GuillemotInstitut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France.
Cheryl GradyRotman Research Institute at Baycrest, Toronto, Canada.
Hervé AbdiSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, USA.
R Nathan SprengMontreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montréal, Canada.

Funding

Investigating the impact of loneliness on brain aging and pre-symptomatic Alzheimer's disease progressionR01AG068563 · NIA · MCGILL UNIVERSITY · PI BZDOK, DANILO, SPRENG, ROBERT NATHAN · 2020 to 2024
$2.3M
NIA NIH HHS R01 AG068563
6 · The paper itself

Abstract

Similarity analyses between multiple correlation or covariance tables constitute the cornerstone of network neuroscience. Here, we introduce covSTATIS, a versatile, linear, unsupervised multi-table method designed to identify structured patterns in multi-table data, and allow for the simultaneous extraction and interpretation of both individual and group-level features. With covSTATIS, multiple similarity tables can now be easily integrated, without requiring

Identifiers

PMID41868168
PMCPMC13004483

What OpenQuestion holds

Textmetadata
LicenceTDM
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.