Evidence map›Paper›PMID 38156987›Full record

ArticleChaos (Woodbury, N.Y.)2023

Network-motif delay differential analysis of brain activity during seizures.

Claudia Lainscsek, Pariya Salami, Vinícius Rezende Carvalho, Eduardo M A M Mendes, Miaolin Fan, Sydney S Cash, Terrence J Sejnowski

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2023. 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. Decoding imagined speech with delay differential analysis.Frontiers in human neuroscience · 2024
    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

7 authors.

Claudia LainscsekComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA.ORCID 0000-0002-1067-8961
Pariya SalamiDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.ORCID 0000-0001-6260-8634
Vinícius Rezende CarvalhoDepartment of Psychology, University of Oslo, Forskningsveien 3A, 0373 Oslo, Norway.ORCID 0000-0003-1821-1634
Eduardo M A M MendesLaboratório de Modelagem, Análise e Controle de Sistemas Não Lineares, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, 31270-901 Belo Horizonte, MG, Brazil.ORCID 0000-0002-3267-3862
Miaolin FanDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts 02114, USA.ORCID 0000-0002-4557-6391
Terrence J SejnowskiComputational Neurobiology Laboratory, The Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, California 92037, USA.

Funding

Neurophysiology of Human Cortical EpilepsyR01NS062092 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2010 to 2021
$4.7M
DDALAB: Identifying Latent States from Neural Recordings with Nonlinear Causal AnalysisRF1MH132664 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 2023 to 2023
$1.2M
Nonlinear Causal Analysis of Neural SignalsR01EB026899 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SEJNOWSKI, TERRENCE J · 2018 to 2020
$1.0M
NIBIB NIH HHS R01 EB026899NIMH NIH HHS RF1 MH132664NINDS NIH HHS R01 NS062092
6 · The paper itself

Abstract

Delay Differential Analysis (DDA) is a nonlinear method for analyzing time series based on principles from nonlinear dynamical systems. DDA is extended here to incorporate network aspects to improve the dynamical characterization of complex systems. To demonstrate its effectiveness, DDA with network capabilities was first applied to the well-known Rössler system under different parameter regimes and noise conditions. Network-motif DDA, based on cortical regions, was then applied to invasive intracranial electroencephalographic data from drug-resistant epilepsy patients undergoing presurgical monitoring. The directional network motifs between brain areas that emerge from this analysis change dramatically before, during, and after seizures. Neural systems provide a rich source of complex data, arising from varying internal states generated by network interactions.

Indexed as

BrainSeizuresElectrocorticographyElectroencephalographyHumansNonlinear Dynamics

Identifiers

PMID38156987
PMCPMC10757649

What OpenQuestion holds

Textmetadata
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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.