ReviewMedicina (Kaunas, Lithuania)2021
The Most Common Lesions Detected by Neuroimaging as Causes of Epilepsy.
Review in Medicina (Kaunas, Lithuania), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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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.
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.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Theory of Mind and Empathy in Adults With Epilepsy: A Meta-Analysis.Frontiers in psychiatry · 2022Pooled it
- Social cognition in children and adolescents with epilepsy: A meta-analysis.Frontiers in psychiatry · 2022Pooled it
- An exploratory study of altered regional homogeneity in Parkinson's disease with depression.Frontiers in psychiatry · 2026Article
- Diagnostic Utility of Common Brain MRI Technique in Pediatric Epilepsy: A Cross-Sectional Study.Iranian journal of child neurology · 2026Article
- Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms.Bioengineering (Basel, Switzerland) · 2025Article
- Neurocysticercosis Prevalence and Characteristics in Communities of Sinda District in Zambia: A Cross-Sectional Study.Journal of epidemiology and global health · 2024Article
- Emotional intelligence in children with epilepsy.IBRO neuroscience reports · 2024Article
- Vulnerability of the Hippocampus to Insults: Links to Blood-Brain Barrier Dysfunction.International journal of molecular sciences · 2024Review
- Article
- Quantitative susceptibility mapping identifies hippocampal and other subcortical grey matter tissue composition changes in temporal lobe epilepsy.Human brain mapping · 2023Article
- A tract-based spatial statistics study of white matter integrity in epilepsy.American journal of translational research · 2022Article
- Integrating Network Neuroscience Into Epilepsy Care: Progress, Barriers, and Next Steps.Epilepsy currentsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy is a common neurological disorder characterized by chronic, unprovoked and recurrent seizures, which are the result of rapid and excessive bioelectric discharges in nerve cells. Neuroimaging is used to detect underlying structural abnormalities which may be associated with epilepsy. This paper reviews the most common abnormalities, such as hippocampal sclerosis, malformations of cortical development and vascular malformation, detected by neuroimaging in patients with epilepsy to help understand the correlation between these changes and the course, treatment and prognosis of epilepsy. Magnetic resonance imaging (MRI) reveals structural changes in the brain which are described in this review. Recent studies indicate the usefulness of additional imaging techniques. The use of fluorodeoxyglucose positron emission tomography (FDG-PET) improves surgical outcomes in MRI-negative cases of focal cortical dysplasia. Some techniques, such as quantitative image analysis, magnetic resonance spectroscopy (MRS), functional MRI (fMRI), diffusion tensor imaging (DTI) and fibre tract reconstruction, can detect small malformations-which means that some of the epilepsies can be treated surgically. Quantitative susceptibility mapping may become the method of choice in vascular malformations. Neuroimaging determines appropriate diagnosis and treatment and helps to predict prognosis.
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Registered trials
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.