Evidence map›Paper›PMID 38507279›Full record

ArticleEpilepsia open2024

Brain network entropy, depression, and quality of life in people with traumatic brain injury and seizure disorders.

Jane B Allendorfer, Rodolphe Nenert, Adam M Goodman, Pranav Kakulamarri, Stephen Correia, Noah S Philip, W Curt LaFrance, Jerzy P Szaflarski

Abstract read
In one paragraph

Article in Epilepsia open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

8 authors.

Jane B AllendorferDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0001-6888-9000
Rodolphe NenertDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Adam M GoodmanDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-7550-679X
Pranav KakulamarriDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Stephen CorreiaVA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.
Noah S PhilipVA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.
W Curt LaFranceVA RR&D Center for Neurorestoration and Neurotechnology, VA Providence Healthcare System, Providence, Rhode Island, USA.ORCID https://orcid.org/0000-0002-4901-3852
Jerzy P SzaflarskiDepartment of Neurology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-5936-6627

Funding

Defense Human Resources Activity W81XH-17-0619
6 · The paper itself

Abstract

objectiveTraumatic brain injury (TBI) often precedes the onset of epileptic (ES) or psychogenic nonepileptic seizures (PNES) with depression being a common comorbidity. The relationship between depression severity and quality of life (QOL) may be related to resting-state network complexity. We investigated these relationships in adults with TBI-only, TBI + ES, or TBI + PNES using Sample Entropy (SampEn), a measure of physiologic signals complexity.

methodsAdults with TBI-only (n = 60), TBI + ES (n = 21), or TBI + PNES (n = 56) completed the Beck Depression Inventory-II (BDI-II; depression symptom severity) and QOL in Epilepsy (QOLIE-31) assessments and underwent resting-state functional magnetic resonance imaging (rs-fMRI). SampEn values derived from six resting state functional networks were calculated per participant. Effects of group, network, and group-by-network-interactions for SampEn were investigated with a mixed-effects model. We examined relationships between BDI-II, QOL, and SampEn of each of the networks.

resultsGroups did not differ in age, but there was a higher proportion of women with TBI + PNES (p = 0.040). TBI + ES and TBI-only groups did not differ in BDI-II or QOLIE-31 scores, while the TBI + PNES group scored worse on both measures. The fixed effects of the model revealed significant differences in SampEn values across networks (lower SampEn for the frontoparietal network compared to other networks). The likelihood ratio test for group-by-network-interactions was significant (p = 0.033). BDI-II was significantly negatively associated with Overall QOL scale scores in all groups, and significantly negatively associated with network SampEn values only in the TBI + PNES group. SIGNIFICANCE: Only TBI + PNES had significant relationships between depression symptom severity and network SampEn values indicating that the resting state network complexity is related to depression severity in this group but not in TBI + ES or TBI-only. PLAIN LANGUAGE SUMMARY: The brain has a complex network of internal connections. How well these connections work may be affected by TBI and seizures and may underlie mental health symptoms including depression; the worse the depression, the worse the quality of life. Our study compared brain organization in people with TBI, people with epilepsy after TBI, and people with nonepileptic seizures after TBI. Only people with nonepileptic seizures after TBI showed a relationship between how organized their brain connections were and how bad was their depression. We need to better understand these relationships to develop more impactful, effective treatments.

Indexed as

Brain Injuries, TraumaticDepressionEntropyMagnetic Resonance ImagingQuality of LifeAdultBrainEpilepsyFemaleHumansMaleMiddle AgedSeizuresYoung Adultbrain network entropydepressionquality of lifeseizure disorderstraumatic brain injury

Identifiers

PMID38507279
PMCPMC11145610

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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.