Evidence map›Paper›PMID 31394989›Full record

ArticleThe Journal of neuropsychiatry and clinical neurosciences2020

Pilot Study of An Intracranial Electroencephalography Biomarker of Depressive Symptoms in Epilepsy.

Katherine W Scangos, Hasan S Ahmad, Alia Shafi, Kristin K Sellers, Heather E Dawes, Andrew Krystal, Edward F Chang

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of neuropsychiatry and clinical neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Developing Precision Invasive Neuromodulation for Psychiatry.The Journal of neuropsychiatry and clinical neurosciences · 2021
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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 at 1 institution in 1 country.

Katherine W ScangosThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Hasan S AhmadThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Alia ShafiThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Kristin K SellersThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Heather E DawesThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Andrew KrystalThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
Edward F ChangThe Departments of Psychiatry and Neurosurgery, University of California, San Francisco (Scangos, Shafi, Sellers, Dawes, Krystal, Chang); and the University of California, Berkeley (Ahmad).
University of California, San Francisco · US

Funding

Distributed networks underlying depression in epilepsy: a computational circuit-based approach to biomarker developmentK23NS110962 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCANGOS, KATHERINE W · 2019 to 2022
$601k
NINDS NIH HHS K23 NS110962
6 · The paper itself

Abstract

objectivesAdult patients with epilepsy have an increased prevalence of major depressive disorder (MDD). Intracranial EEG (iEEG) captured during extended inpatient monitoring of patients with treatment-resistant epilepsy offers a particularly promising method to study MDD networks in epilepsy.

methodsThe authors used 24 hours of resting-state iEEG to examine the neural activity patterns within corticolimbic structures that reflected the presence of depressive symptoms in 13 adults with medication-refractory epilepsy. Principal component analysis was performed on the z-scored mean relative power in five standard frequency bands averaged across electrodes within a region.

resultsPrincipal component 3 was a statistically significant predictor of the presence of depressive symptoms (R

conclusionsThese finding suggest, for the first time, that neural features across circuits involved in epilepsy may distinguish patients who have depressive symptoms from those who do not. Larger studies are required to validate these findings and to assess their diagnostic utility in MDD.

Indexed as

ElectrocorticographyAdultBiomarkersCerebral CortexDepressionDrug Resistant EpilepsyFemaleHumansLimbic SystemMaleNerve NetPilot ProjectsPrincipal Component AnalysisBiomarkersBiological MarkersBiomarkerDepressionECoGTreatment Refractory Epilepsy

Identifiers

PMID31394989
PMCPMC7429560
OpenAlexW2969193921

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.