Evidence map›Paper›PMID 37368146›Full record

ArticleActa neurologica Belgica2023

Curvature analysis of perisylvian epilepsy.

Mohammad-Reza Siadat, Kost Elisevich, Hamid Soltanian-Zadeh, Ameen Eetemadi, Brien Smith

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Article in Acta neurologica Belgica, 2023. 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mohammad-Reza SiadatDepartment of Computer Science and Engineering, Oakland University, 115 Library Dr., #540, Rochester, MI, 48309, USA. siadat@oakland.edu.ORCID http://orcid.org/0000-0002-7098-8304
Kost ElisevichDepartment of Surgery, Michigan State University, East Lansing, MI, 48824, USA.
Hamid Soltanian-ZadehDepartment of Diagnostic Radiology, Henry Ford Health System, Detroit, MI, 48202, USA.
Ameen EetemadiDepartment of Computer Science, University of California, Davis, CA, 95616, USA.
Brien SmithDepartment of Neurosurgery, Ohio Health, Columbus, OH, 43228, USA.

Funding

NIH Blueprint for Neuroscience Research EB002450
6 · The paper itself

Abstract

purposeWe assess whether alterations in the convolutional anatomy of the deep perisylvian area (DPSA) might indicate focal epileptogenicity. MATERIALS AND

methodsThe DPSA of each hemisphere was segmented on MRI and a 3D gray-white matter interface (GWMI) geometrical model was constructed. Comparative visual and quantitative assessment of the convolutional anatomy of both the left and right DPSA models was performed. Both the density of thorn-like contours (peak percentage) and coarse interface curvatures was computed using Gaussian curvature and shape index, respectively. The proposed method was applied to a total of 14 subjects; 7 patients with an epileptogenic DPSA and 7 non-epileptic subjects.

resultsA high peak percentage correlated well with the epileptogenic DPSA. It distinguished between patients and non-epileptic subjects (P = 0.029) and identified laterality of the epileptic focus in all but one case. A diminished regional curvature also identified epileptogenicity (P = 0.016) and, moreover, its laterality (P = 0.001).

conclusionAn increased peak percentage from a global view of the GWMI of the DPSA provides some indication of a propensity toward a focal or regional DPSA epileptogenicity. A diminished convolutional anatomy (i.e., smoothing effect) appears also to coincide with the epileptogenic site in the DPSA and to distinguish laterality.

Indexed as

EpilepsyCerebral CortexElectroencephalographyFunctional LateralityGray MatterHumansMagnetic Resonance ImagingConvolutional anatomyCurvature analysisDeep perisylvian areaLocalization-related epilepsyNoninvasive focal epileptogenicity localization

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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.