09 mai 2017

La connectivité cérébrale fonctionnelle est atypique dans l'autisme? Une revue systématique des études EEG et MEG

Aperçu: G.M.
La grande variabilité des échantillons et de la méthodologie de l'étude rend impossible une analyse quantitative systématique (c'est-à-dire une méta-analyse) de ce type de recherche. Néanmoins, une tendance générale à l'hypothèse d'une sous-connectivité fonctionnelle à longue portée peut être observée.

PLoS One. 2017 May 3;12(5):e0175870. doi: 10.1371/journal.pone.0175870. eCollection 2017.

Is functional brain connectivity atypical in autism? A systematic review of EEG and MEG studies

Author information

Douglas Mental Health University Institute, 6875 Boulevard Lasalle, Verdun, Canada.
Department of Psychiatry, McGill University, 1033 Pine Avenue West, Montreal, QC, Canada.
McGill Center for Integrative Neuroscience, Montreal Neurological Institute, McGill University, 3801 University Street, Montréal, QC, Canada.



Although it is well recognized that autism is associated with altered patterns of over- and under-connectivity, specifics are still a matter of debate. Little has been done so far to synthesize available literature using whole-brain electroencephalography (EEG) and magnetoencephalography (MEG) recordings.


1) To systematically review the literature on EEG/MEG functional and effective connectivity in autism spectrum disorder (ASD), 2) to synthesize and critically appraise findings related with the hypothesis that ASD is characterized by long-range underconnectivity and local overconnectivity, and 3) to provide, based on the literature, an analysis of tentative factors that are likely to mediate association between ASD and atypical connectivity (e.g., development, topography, lateralization).


Literature reviews were done using PubMed and PsychInfo databases. Abstracts were screened, and only relevant articles were analyzed based on the objectives of this paper. Special attention was paid to the methodological characteristics that could have created variability in outcomes reported between studies.


Our synthesis provides relatively strong support for long-range underconnectivity in ASD, whereas the status of local connectivity remains unclear. This observation was also mirrored by a similar relationship with lower frequencies being often associated with underconnectivity and higher frequencies being associated with both under- and over-connectivity. Putting together these observations, we propose that ASD is characterized by a general trend toward an under-expression of lower-band wide-spread integrative processes compensated by more focal, higher-frequency, locally specialized, and segregated processes. Further investigation is, however, needed to corroborate the conclusion and its generalizability across different tasks. Of note, abnormal lateralization in ASD, specifically an elevated left-over-right EEG and MEG functional connectivity ratio, has been also reported consistently across studies.


The large variability in study samples and methodology makes a systematic quantitative analysis (i.e. meta-analysis) of this body of research impossible. Nevertheless, a general trend supporting the hypothesis of long-range functional underconnectivity can be observed. Further research is necessary to more confidently determine the status of the hypothesis of short-range overconnectivity. Frequency-band specific patterns and their relationships with known symptoms of autism also need to be further clarified.
PMID: 28467487
DOI: 10.1371/journal.pone.0175870

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