Temporal regularity of cerebral activity at rest correlates with slowness of reaction times in intellectual disability
Autor: | Jérôme Favrod, Guillaume Sierro, Fabienne Giuliani, Julie Palix, Catherine Brandner |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male medicine.medical_specialty Audiology Electroencephalography behavioral disciplines and activities Approximate entropy 050105 experimental psychology 03 medical and health sciences 0302 clinical medicine Intellectual Disability Physiology (medical) Intellectual disability Reaction Time medicine Humans 0501 psychology and cognitive sciences Slowness Evoked Potentials Cerebral Cortex Adaptive behavior Resting state fMRI medicine.diagnostic_test Intelligence quotient 05 social sciences Information processing Middle Aged medicine.disease Brain Waves Sensory Systems Intellectual disability EEG resting state approximate entropy reaction times Neurology Female Neurology (clinical) Psychology 030217 neurology & neurosurgery |
Zdroj: | Clinical Neurophysiology, vol. 131, no. 8, pp. 1859-1865 |
ISSN: | 1388-2457 |
DOI: | 10.1016/j.clinph.2020.04.174 |
Popis: | Objective Intellectual disability (ID) is described as a general slowness in behavior and an inadequacy in adaptive skills. The present study examines whether behavioral slowness in ID could originate from abnormal complexity in brain signals. Methods Participants (N = 29) performed a reaction times (RTs) task assessing their individual information processing speeds. Half of the participants had moderate intellectual disability (intelligence quotient (IQ) < 70). Continuous electroencephalogram recording during the resting period was used to quantify brain signal complexity by approximate entropy estimation (ApEn). Results For all participants, a negative correlation between RTs and IQ was found, with longer RTs coinciding with lower IQ. This behavioral slowness in ID was associated with increased temporal regularity in electrocortical brain signals. Conclusions Behavioral slowness in ID subjects is closely related to lower brain signal complexity. Significance Brain signal ApEn is shown to correspond with processing speed for the first time: in ID participants, the higher the regularity in brain signals at rest, the slower RTs will be in the active state. ID should be understood as a lack of lability in the cortical transition to the active state, weakening the efficiency of adaptive behavior. |
Databáze: | OpenAIRE |
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