Evidence map›Paper›PMID 28324301›Full record

ReviewCurrent neurology and neuroscience reports2017

Neuroimaging in Epilepsy.

Erik H Middlebrooks, Lawrence Ver Hoef, Jerzy P Szaflarski

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current neurology and neuroscience reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  3. Article
  4. Neurostimulation treatments for epilepsy: Deep brain stimulation, responsive neurostimulation and vagus nerve stimulation.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Recent Advances in Neuroimaging of Epilepsy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Review
  11. UltraHigh Field MR Imaging in Epilepsy.Magnetic resonance imaging clinics of North America · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

3 authors.

Erik H MiddlebrooksDepartment of Radiology, University of Alabama at Birmingham (UAB), Birmingham, AL, USA.
Lawrence Ver HoefDepartment of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham (UAB), 1719 6th Avenue South, CIRC 312, Birmingham, AL, 35294, USA.
Jerzy P SzaflarskiDepartment of Neurology, UAB Epilepsy Center, University of Alabama at Birmingham (UAB), 1719 6th Avenue South, CIRC 312, Birmingham, AL, 35294, USA. jszaflarski@uabmc.edu.

Funding

Understanding hippocampal internal architecture in human temporal lobe epilepsy -- from MRI to epigeneticsR01NS094743 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VER HOEF, LAWRENCE · 2016 to 2020
$2.6M
Novel MRI Techniques to Image Hippocampal Internal ArchitectureK23EB008452 · NIBIB · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI VER HOEF, LAWRENCE · 2009 to 2013
$878k
NIBIB NIH HHS K23 EB008452NINDS NIH HHS R01 NS094743
6 · The paper itself

Abstract

In recent years, the field of neuroimaging has undergone dramatic development. Specifically, of importance for clinicians and researchers managing patients with epilepsies, new methods of brain imaging in search of the seizure-producing abnormalities have been implemented, and older methods have undergone additional refinement. Methodology to predict seizure freedom and cognitive outcome has also rapidly progressed. In general, the image data processing methods are very different and more complicated than even a decade ago. In this review, we identify the recent developments in neuroimaging that are aimed at improved management of epilepsy patients. Advances in structural imaging, diffusion imaging, fMRI, structural and functional connectivity, hybrid imaging methods, quantitative neuroimaging, and machine-learning are discussed. We also briefly summarize the potential new developments that may shape the field of neuroimaging in the near future and may advance not only our understanding of epileptic networks as the source of treatment-resistant seizures but also better define the areas that need to be treated in order to provide the patients with better long-term outcomes.

Indexed as

NeuroimagingElectroencephalographyEpilepsyHumansMagnetic Resonance ImagingMultimodal ImagingSeizuresDiffusion MRIEEGEpilepsyfMRINeuroimagingSeizure

Identifiers

What OpenQuestion holds

Textmetadata
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.