Literature DB >> 18812443

Small focal cortical dysplasia lesions are located at the bottom of a deep sulcus.

Pierre Besson1, Frederick Andermann, Francois Dubeau, Andrea Bernasconi.   

Abstract

Focal cortical dysplasia (FCD) is often characterized by minor structural changes that may go unrecognized by standard radiological analysis. Visual assessment of morphological characteristics of FCD and sulci harbouring them is difficult due to the complexity of brain convolutions. Our purpose was to elucidate and quantify the spatial relationship between FCD lesions and brain sulci using automated sulcal extraction and morphometry. We studied 43 consecutive FCD patients using high-resolution MRI. Lesions were classified into small and large using qualitative (detection on initial clinical assessment of conventional MRI) and quantitative (volume) criteria. Sulci were identified and labelled automatically using an algorithm based on a congregation of neural networks. Segmented FCD lesions and sulci were then simultaneously visualized in 3D. We measured mean and maximum depth of sulci related to each FCD and of the corresponding sulci in 21 healthy controls. In addition, we calculated sulcal depth within the FCD neighbourhood. Twenty-one (21/43 = 49%) patients had small FCD lesions (volume range: 128-3093 mm(3)). Among them, 17 (81%) had been overlooked during initial radiological evaluation and were subsequently identified using image processing. Eighteen (18/21 = 86%) small FCD lesions were located at the bottom of a sulcus. Two others were related to the walls of two sulci and one was located at the crown of a gyrus. Mean and maximum depth of sulci related to the FCD was higher than that of the corresponding sulci in controls (P < 0.008). Sulcal depth within lesional neighbourhood had larger mean depth than that of the entire sulcus (P < 0.0002). Evidence that small FCD lesions are preferentially located at the bottom of an abnormally deep sulcus may be used to direct the search for developmental abnormalities, particularly in patients in whom large-scale MRI features are only mildly abnormal or absent.

Entities:  

Mesh:

Year:  2008        PMID: 18812443     DOI: 10.1093/brain/awn224

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  55 in total

1.  Imaging focal cortical dysplasia in refractory epilepsy.

Authors:  Gregory A Worrell
Journal:  Epilepsy Curr       Date:  2012-01       Impact factor: 7.500

2.  Cerebellar Bottom-of-Fissure Dysplasia-a Novel Cerebellar Gray Matter Neuroimaging Pattern.

Authors:  Andrea Poretti; Andrea Capone; Anette Hackenberg; Ingeborg Kraegeloh-Mann; Gerhard Kurlemann; Guido Laube; Joachim Pietz; Mareike Schimmel; Wolfram Schwindt; Ianina Scheer; Eugen Boltshauser
Journal:  Cerebellum       Date:  2016-12       Impact factor: 3.847

3.  Optimizing MR imaging detection of type 2 focal cortical dysplasia: best criteria for clinical practice.

Authors:  C Mellerio; M-A Labeyrie; F Chassoux; C Daumas-Duport; E Landre; B Turak; F-X Roux; J-F Meder; B Devaux; C Oppenheim
Journal:  AJNR Am J Neuroradiol       Date:  2012-05-03       Impact factor: 3.825

4.  Searching for the lesion in "MRI-normal" neocortical epilepsy--plumb the depths!

Authors:  John W Miller
Journal:  Epilepsy Curr       Date:  2009 Nov-Dec       Impact factor: 7.500

Review 5.  Post-processing of structural MRI for individualized diagnostics.

Authors:  Pascal Martin; Benjamin Bender; Niels K Focke
Journal:  Quant Imaging Med Surg       Date:  2015-04

Review 6.  Neuroimaging and connectomics of drug-resistant epilepsy at multiple scales: From focal lesions to macroscale networks.

Authors:  Shahin Tavakol; Jessica Royer; Alexander J Lowe; Leonardo Bonilha; Joseph I Tracy; Graeme D Jackson; John S Duncan; Andrea Bernasconi; Neda Bernasconi; Boris C Bernhardt
Journal:  Epilepsia       Date:  2019-03-19       Impact factor: 5.864

7.  Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia.

Authors:  Bilal Ahmed; Carla E Brodley; Karen E Blackmon; Ruben Kuzniecky; Gilad Barash; Chad Carlson; Brian T Quinn; Werner Doyle; Jacqueline French; Orrin Devinsky; Thomas Thesen
Journal:  Epilepsy Behav       Date:  2015-05-31       Impact factor: 2.937

8.  Functional and resting-state characterizations of a periventricular heterotopic nodule associated with epileptogenic activity.

Authors:  Richard L Nolan; Nicholas Brandmeir; Eric S Tucker; John L Magruder; Mark R Lee; Gang Chen; James W Lewis
Journal:  Neurosurg Focus       Date:  2020-02-01       Impact factor: 4.047

Review 9.  Brain imaging in the assessment for epilepsy surgery.

Authors:  John S Duncan; Gavin P Winston; Matthias J Koepp; Sebastien Ourselin
Journal:  Lancet Neurol       Date:  2016-02-24       Impact factor: 44.182

10.  Linking MRI postprocessing with magnetic source imaging in MRI-negative epilepsy.

Authors:  Zhong I Wang; Andreas V Alexopoulos; Stephen E Jones; Imad M Najm; Aleksandar Ristic; Chong Wong; Richard Prayson; Felix Schneider; Yosuke Kakisaka; Shuang Wang; William Bingaman; Jorge A Gonzalez-Martinez; Richard C Burgess
Journal:  Ann Neurol       Date:  2014-05-16       Impact factor: 10.422

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.