Literature DB >> 27324840

Role of neuroimaging in first seizure diagnosis.

Candice E Crocker1, Bernhard Pohlmann-Eden2, Matthias H Schmidt3.   

Abstract

The primary goal of neuroimaging in a first, unprovoked seizure is to identify a lesion that can explain the seizure. Secondarily, neuroimaging may be used to predict seizure recurrence and assist with the diagnosis of epilepsy. However, the events leading from a first seizure to epilepsy, with or without an identifiable epileptogenic lesion, are not well understood, and it is not always clear which lesions are epileptogenic as opposed to incidental. Much neuroimaging research to date has focused on findings in chronic epilepsy, rather than first seizure. Dedicated epilepsy imaging with high quality MRI protocols maximizes the likelihood of a diagnosis. However, a significant proportion of patients are MRI-negative, prompting researchers in the field to continue the search for better imaging strategies. Here we describe the role of neuroimaging in the assessment of a first seizure, the current state of the art and possible future directions.
Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  DTI; Epilepsy; First seizure; MRI; PET

Mesh:

Year:  2016        PMID: 27324840     DOI: 10.1016/j.seizure.2016.05.015

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  5 in total

1.  Refractory seizures: Prediction of outcome of surgical intervention based on results from PET-CT, PET-MRI and electroencephaolography.

Authors:  Rashad Johnson; Grace Rizk; Harleen Kaur; Henry Ibekwe; Monica Atta; Isis Gayed
Journal:  Neuroradiol J       Date:  2019-10-22

2.  [Epilepsy in old age].

Authors:  Kai Siebenbrodt; Adam Strzelczyk; Felix Rosenow
Journal:  Nervenarzt       Date:  2020-04       Impact factor: 1.214

3.  SOP: First-ever epileptic seizure in adult patients.

Authors:  Julian Bösel
Journal:  Neurol Res Pract       Date:  2019-02-28

4.  A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI.

Authors:  Michael Rebsamen; Piotr Radojewski; Richard McKinley; Mauricio Reyes; Roland Wiest; Christian Rummel
Journal:  Front Neurol       Date:  2022-02-18       Impact factor: 4.003

Review 5.  The ENIGMA-Epilepsy working group: Mapping disease from large data sets.

Authors:  Sanjay M Sisodiya; Christopher D Whelan; Sean N Hatton; Khoa Huynh; Andre Altmann; Mina Ryten; Annamaria Vezzani; Maria Eugenia Caligiuri; Angelo Labate; Antonio Gambardella; Victoria Ives-Deliperi; Stefano Meletti; Brent C Munsell; Leonardo Bonilha; Manuela Tondelli; Michael Rebsamen; Christian Rummel; Anna Elisabetta Vaudano; Roland Wiest; Akshara R Balachandra; Núria Bargalló; Emanuele Bartolini; Andrea Bernasconi; Neda Bernasconi; Boris Bernhardt; Benoit Caldairou; Sarah J A Carr; Gianpiero L Cavalleri; Fernando Cendes; Luis Concha; Patricia M Desmond; Martin Domin; John S Duncan; Niels K Focke; Renzo Guerrini; Khalid Hamandi; Graeme D Jackson; Neda Jahanshad; Reetta Kälviäinen; Simon S Keller; Peter Kochunov; Magdalena A Kowalczyk; Barbara A K Kreilkamp; Patrick Kwan; Sara Lariviere; Matteo Lenge; Seymour M Lopez; Pascal Martin; Mario Mascalchi; José C V Moreira; Marcia E Morita-Sherman; Heath R Pardoe; Jose C Pariente; Kotikalapudi Raviteja; Cristiane S Rocha; Raúl Rodríguez-Cruces; Margitta Seeck; Mira K H G Semmelroch; Benjamin Sinclair; Hamid Soltanian-Zadeh; Dan J Stein; Pasquale Striano; Peter N Taylor; Rhys H Thomas; Sophia I Thomopoulos; Dennis Velakoulis; Lucy Vivash; Bernd Weber; Clarissa Lin Yasuda; Junsong Zhang; Paul M Thompson; Carrie R McDonald
Journal:  Hum Brain Mapp       Date:  2020-05-29       Impact factor: 5.038

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.