Evidence map›Paper›PMID 42095801›Full record

Observational studyEpilepsia2026

Quantitative electroencephalographic measures during postmalarial epileptogenesis.

Rasesh B Joshi, Suzanna Mwanza, Hitten P Zaveri, Joseph Kasolo, Angela Masempela, Thelma Musakanya, Tina Mwale, Violet Nambeye, Rosemary Nyriongo, Ruth A Tembo and 5 more

Abstract readObservational Study
In one paragraph

Observational study in Epilepsia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

15 authors.

Rasesh B JoshiDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Suzanna MwanzaDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.ORCID https://orcid.org/0000-0001-8080-7215
Hitten P ZaveriYale Clinical Neuroscience Neuroanalytics, Department of Neurology, Yale School of Medicine, New Haven, Connecticut, USA.ORCID https://orcid.org/0000-0001-7830-0052
Joseph KasoloDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Angela MasempelaDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Thelma MusakanyaDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Tina MwaleDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Violet NambeyeDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Rosemary NyriongoDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Ruth A TemboDepartment of Pediatrics, Chipata Central Hospital, Chipata, Zambia.
Christopher CortinaInstitutional Centers for Clinical & Translational Research, Biostatistics and Research Design Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Bo ZhangInstitutional Centers for Clinical & Translational Research, Biostatistics and Research Design Center, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Gretchen L BirbeckEpilepsy Division, Department of Neurology, University of Rochester, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-0735-3461
Alexander RotenbergDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Archana A PatelDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Predicting Epilepsy in Cerebral Malaria: Working Toward Identifying Biomarkers of Epileptogenesis in ChildrenK23NS118051 · NINDS · SEATTLE CHILDREN'S HOSPITAL · PI PATEL, ARCHANA A. · 2021 to 2025
$1.1M
NINDS NIH HHS K23 NS118051NINDS NIH HHS K23NS118051
6 · The paper itself

Abstract

objectiveSevere malaria with neurologic involvement contributes significantly to the global burden of acquired pediatric epilepsy. We studied quantitative electroencephalographic (EEG) measures in postmalarial epileptogenesis.

methodsA total of 186 patients, aged 6 months to 11 years, with confirmed central nervous system malaria were enrolled in a prospective observational study conducted in Chipata, Zambia. EEG data were collected during acute illness for 179 patients. Patients were followed for 12 months postdischarge with EEG and clinical reviews to assess postmalarial epilepsy (PME) outcomes. A total of 155 patients were seen for 1-month, 144 for 6-month, and 142 for 12-month follow-up. Twenty-six patients were diagnosed with PME. We examined EEG measures (relative power, magnitude-squared coherence [MSC], and approximate entropy [ApEn]) to identify differences between patients who developed PME and those who did not.

resultsRelative gamma power at admission was significantly greater in the PME group, whereas at 1-month and 6-month follow-up it was greater in the nonepilepsy group. Alpha and beta power increased in both groups over time, suggesting a prolonged process of neurologic recovery, with greater power in both bands observed in the nonepilepsy group at 12-month follow-up. ApEn was greater in the nonepilepsy group at admission and 1-month and 6-month follow-up. At admission and 1-month follow-up, we observed a significant decrease in beta and gamma MSC in the epilepsy group as compared to the nonepilepsy group. These differences were absent at 6-month follow-up but became more prominent again at 12-month follow-up. SIGNIFICANCE: These and related EEG measures may provide value for risk stratification of patients with severe malaria.

Indexed as

BrainElectroencephalographyEpilepsyMalaria, CerebralChildChild, PreschoolFemaleFollow-Up StudiesHumansInfantMaleProspective Studiescerebral malariaepileptogenesismalariapostmalarial epilepsyquantitative EEG

Identifiers

PMID42095801
PMCPMC13361024

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LicenceCC BY-NC-ND
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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.