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Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK

INTRODUCTION: Epilepsy is one of the most common serious brain disorders, characterised by seizures that severely affect a person’s quality of life and, frequently, their cognitive and mental health. Although most existing work has examined chronic epilepsy, newly diagnosed patients present a unique...

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Autores principales: de Bézenac, Christophe, Garcia-Finana, Marta, Baker, Gus, Moore, Perry, Leek, Nicola, Mohanraj, Rajiv, Bonilha, Leonardo, Richardson, Mark, Marson, Anthony Guy, Keller, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797398/
https://www.ncbi.nlm.nih.gov/pubmed/31619436
http://dx.doi.org/10.1136/bmjopen-2019-034347
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author de Bézenac, Christophe
Garcia-Finana, Marta
Baker, Gus
Moore, Perry
Leek, Nicola
Mohanraj, Rajiv
Bonilha, Leonardo
Richardson, Mark
Marson, Anthony Guy
Keller, Simon
author_facet de Bézenac, Christophe
Garcia-Finana, Marta
Baker, Gus
Moore, Perry
Leek, Nicola
Mohanraj, Rajiv
Bonilha, Leonardo
Richardson, Mark
Marson, Anthony Guy
Keller, Simon
author_sort de Bézenac, Christophe
collection PubMed
description INTRODUCTION: Epilepsy is one of the most common serious brain disorders, characterised by seizures that severely affect a person’s quality of life and, frequently, their cognitive and mental health. Although most existing work has examined chronic epilepsy, newly diagnosed patients present a unique opportunity to understand the underlying biology of epilepsy and predict effective treatment pathways. The objective of this prospective cohort study is to examine whether cognitive dysfunction is associated with measurable brain architectural and connectivity impairments at diagnosis and whether the outcome of antiepileptic drug treatment can be predicted using these measures. METHODS AND ANALYSIS: 107 patients with newly diagnosed focal epilepsy from two National Health Service Trusts and 48 healthy controls (aged 16–65 years) will be recruited over a period of 30 months. Baseline assessments will include neuropsychological evaluation, structural and functional Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and a blood and saliva sample. Patients will be followed up every 6 months for a 24-month period to assess treatment outcomes. Connectivity- and network-based analyses of EEG and MRI data will be carried out and examined in relation to neuropsychological evaluation and patient treatment outcomes. Patient outcomes will also be investigated with respect to analysis of molecular isoforms of high mobility group box-1 from blood and saliva samples. ETHICS AND DISSEMINATION: This study was approved by the North West, Liverpool East Research Ethics Committee (19/NW/0384) through the Integrated Research Application System (Project ID 260623). Health Research Authority (HRA) approval was provided on 22 August 2019. The project is sponsored by the UoL (UoL001449) and funded by a UK Medical Research Council (MRC) research grant (MR/S00355X/1). Findings will be presented at national and international meetings and conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: IRAS Project ID 260623.
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spelling pubmed-67973982019-10-31 Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK de Bézenac, Christophe Garcia-Finana, Marta Baker, Gus Moore, Perry Leek, Nicola Mohanraj, Rajiv Bonilha, Leonardo Richardson, Mark Marson, Anthony Guy Keller, Simon BMJ Open Neurology INTRODUCTION: Epilepsy is one of the most common serious brain disorders, characterised by seizures that severely affect a person’s quality of life and, frequently, their cognitive and mental health. Although most existing work has examined chronic epilepsy, newly diagnosed patients present a unique opportunity to understand the underlying biology of epilepsy and predict effective treatment pathways. The objective of this prospective cohort study is to examine whether cognitive dysfunction is associated with measurable brain architectural and connectivity impairments at diagnosis and whether the outcome of antiepileptic drug treatment can be predicted using these measures. METHODS AND ANALYSIS: 107 patients with newly diagnosed focal epilepsy from two National Health Service Trusts and 48 healthy controls (aged 16–65 years) will be recruited over a period of 30 months. Baseline assessments will include neuropsychological evaluation, structural and functional Magnetic Resonance Imaging (MRI), Electroencephalography (EEG), and a blood and saliva sample. Patients will be followed up every 6 months for a 24-month period to assess treatment outcomes. Connectivity- and network-based analyses of EEG and MRI data will be carried out and examined in relation to neuropsychological evaluation and patient treatment outcomes. Patient outcomes will also be investigated with respect to analysis of molecular isoforms of high mobility group box-1 from blood and saliva samples. ETHICS AND DISSEMINATION: This study was approved by the North West, Liverpool East Research Ethics Committee (19/NW/0384) through the Integrated Research Application System (Project ID 260623). Health Research Authority (HRA) approval was provided on 22 August 2019. The project is sponsored by the UoL (UoL001449) and funded by a UK Medical Research Council (MRC) research grant (MR/S00355X/1). Findings will be presented at national and international meetings and conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: IRAS Project ID 260623. BMJ Publishing Group 2019-10-16 /pmc/articles/PMC6797398/ /pubmed/31619436 http://dx.doi.org/10.1136/bmjopen-2019-034347 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Neurology
de Bézenac, Christophe
Garcia-Finana, Marta
Baker, Gus
Moore, Perry
Leek, Nicola
Mohanraj, Rajiv
Bonilha, Leonardo
Richardson, Mark
Marson, Anthony Guy
Keller, Simon
Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title_full Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title_fullStr Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title_full_unstemmed Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title_short Investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the UK
title_sort investigating imaging network markers of cognitive dysfunction and pharmacoresistance in newly diagnosed epilepsy: a protocol for an observational cohort study in the uk
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797398/
https://www.ncbi.nlm.nih.gov/pubmed/31619436
http://dx.doi.org/10.1136/bmjopen-2019-034347
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