Cargando…

Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach

BACKGROUND: Fragile X syndrome (FXS) is a neurodevelopmental genetic disorder causing cognitive and behavioural deficits. Repetition suppression (RS), a learning phenomenon in which stimulus repetitions result in diminished brain activity, has been found to be impaired in FXS. Alterations in RS have...

Descripción completa

Detalles Bibliográficos
Autores principales: Knoth, Inga Sophia, Lajnef, Tarek, Rigoulot, Simon, Lacourse, Karine, Vannasing, Phetsamone, Michaud, Jacques L., Jacquemont, Sébastien, Major, Philippe, Jerbi, Karim, Lippé, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789548/
https://www.ncbi.nlm.nih.gov/pubmed/29378522
http://dx.doi.org/10.1186/s11689-018-9223-3
_version_ 1783296300019613696
author Knoth, Inga Sophia
Lajnef, Tarek
Rigoulot, Simon
Lacourse, Karine
Vannasing, Phetsamone
Michaud, Jacques L.
Jacquemont, Sébastien
Major, Philippe
Jerbi, Karim
Lippé, Sarah
author_facet Knoth, Inga Sophia
Lajnef, Tarek
Rigoulot, Simon
Lacourse, Karine
Vannasing, Phetsamone
Michaud, Jacques L.
Jacquemont, Sébastien
Major, Philippe
Jerbi, Karim
Lippé, Sarah
author_sort Knoth, Inga Sophia
collection PubMed
description BACKGROUND: Fragile X syndrome (FXS) is a neurodevelopmental genetic disorder causing cognitive and behavioural deficits. Repetition suppression (RS), a learning phenomenon in which stimulus repetitions result in diminished brain activity, has been found to be impaired in FXS. Alterations in RS have been associated with behavioural problems in FXS; however, relations between RS and intellectual functioning have not yet been elucidated. METHODS: EEG was recorded in 14 FXS participants and 25 neurotypical controls during an auditory habituation paradigm using repeatedly presented pseudowords. Non-phased locked signal energy was compared across presentations and between groups using linear mixed models (LMMs) in order to investigate RS effects across repetitions and brain areas and a possible relation to non-verbal IQ (NVIQ) in FXS. In addition, we explored group differences according to NVIQ and we probed the feasibility of training a support vector machine to predict cognitive functioning levels across FXS participants based on single-trial RS features. RESULTS: LMM analyses showed that repetition effects differ between groups (FXS vs. controls) as well as with respect to NVIQ in FXS. When exploring group differences in RS patterns, we found that neurotypical controls revealed the expected pattern of RS between the first and second presentations of a pseudoword. More importantly, while FXS participants in the ≤ 42 NVIQ group showed no RS, the > 42 NVIQ group showed a delayed RS response after several presentations. Concordantly, single-trial estimates of repetition effects over the first four repetitions provided the highest decoding accuracies in the classification between the FXS participant groups. CONCLUSION: Electrophysiological measures of repetition effects provide a non-invasive and unbiased measure of brain responses sensitive to cognitive functioning levels, which may be useful for clinical trials in FXS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s11689-018-9223-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5789548
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-57895482018-02-08 Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach Knoth, Inga Sophia Lajnef, Tarek Rigoulot, Simon Lacourse, Karine Vannasing, Phetsamone Michaud, Jacques L. Jacquemont, Sébastien Major, Philippe Jerbi, Karim Lippé, Sarah J Neurodev Disord Research BACKGROUND: Fragile X syndrome (FXS) is a neurodevelopmental genetic disorder causing cognitive and behavioural deficits. Repetition suppression (RS), a learning phenomenon in which stimulus repetitions result in diminished brain activity, has been found to be impaired in FXS. Alterations in RS have been associated with behavioural problems in FXS; however, relations between RS and intellectual functioning have not yet been elucidated. METHODS: EEG was recorded in 14 FXS participants and 25 neurotypical controls during an auditory habituation paradigm using repeatedly presented pseudowords. Non-phased locked signal energy was compared across presentations and between groups using linear mixed models (LMMs) in order to investigate RS effects across repetitions and brain areas and a possible relation to non-verbal IQ (NVIQ) in FXS. In addition, we explored group differences according to NVIQ and we probed the feasibility of training a support vector machine to predict cognitive functioning levels across FXS participants based on single-trial RS features. RESULTS: LMM analyses showed that repetition effects differ between groups (FXS vs. controls) as well as with respect to NVIQ in FXS. When exploring group differences in RS patterns, we found that neurotypical controls revealed the expected pattern of RS between the first and second presentations of a pseudoword. More importantly, while FXS participants in the ≤ 42 NVIQ group showed no RS, the > 42 NVIQ group showed a delayed RS response after several presentations. Concordantly, single-trial estimates of repetition effects over the first four repetitions provided the highest decoding accuracies in the classification between the FXS participant groups. CONCLUSION: Electrophysiological measures of repetition effects provide a non-invasive and unbiased measure of brain responses sensitive to cognitive functioning levels, which may be useful for clinical trials in FXS. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s11689-018-9223-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-01-29 /pmc/articles/PMC5789548/ /pubmed/29378522 http://dx.doi.org/10.1186/s11689-018-9223-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Knoth, Inga Sophia
Lajnef, Tarek
Rigoulot, Simon
Lacourse, Karine
Vannasing, Phetsamone
Michaud, Jacques L.
Jacquemont, Sébastien
Major, Philippe
Jerbi, Karim
Lippé, Sarah
Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title_full Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title_fullStr Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title_full_unstemmed Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title_short Auditory repetition suppression alterations in relation to cognitive functioning in fragile X syndrome: a combined EEG and machine learning approach
title_sort auditory repetition suppression alterations in relation to cognitive functioning in fragile x syndrome: a combined eeg and machine learning approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5789548/
https://www.ncbi.nlm.nih.gov/pubmed/29378522
http://dx.doi.org/10.1186/s11689-018-9223-3
work_keys_str_mv AT knothingasophia auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT lajneftarek auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT rigoulotsimon auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT lacoursekarine auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT vannasingphetsamone auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT michaudjacquesl auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT jacquemontsebastien auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT majorphilippe auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT jerbikarim auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach
AT lippesarah auditoryrepetitionsuppressionalterationsinrelationtocognitivefunctioninginfragilexsyndromeacombinedeegandmachinelearningapproach