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Neural correlates of generation and inhibition of verbal association patterns in mood disorders

Publié dansSocial cognitive and affective neuroscience, vol. 10, no. 7, p. 978-986
Date de publication2015
Résumé

Objectives: Thought disorders such as rumination or flight of ideas are frequent in patients with mood disorders, and not systematically linked to mood state. These symptoms point to anomalies in cognitive processes mediating the generation and control of thoughts; for example, associative thinking and inhibition. However, their neural substrates are not known. Method: To obtain an ecological measure of neural processes underlying the generation and suppression of spontaneous thoughts, we designed a free word association task during fMRI allowing us to explore verbal associative patterns in patients with mood disorders and matched controls. Participants were presented with emotionally negative, positive or neutral words, and asked to produce two words either related or unrelated to these stimuli. Results: Relative to controls, patients produced a reverse pattern of answer typicality for the related vs unrelated conditions. Controls activated larger semantic and executive control networks, as well as basal ganglia, precuneus and middle frontal gyrus. Unlike controls, patients activated fusiform gyrus, parahippocampal gyrus and medial prefrontal cortex for emotional stimuli. Conclusions: Mood disorder patients are impaired in automated associative processes, but prone to produce more unique/personal associations through activation of memory and self-related areas.

Citation (format ISO)
PIGUET, Camille Marie et al. Neural correlates of generation and inhibition of verbal association patterns in mood disorders. In: Social cognitive and affective neuroscience, 2015, vol. 10, n° 7, p. 978–986. doi: 10.1093/scan/nsu146
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ISSN du journal1749-5016
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Création24.12.2014 00:46:00
Première validation24.12.2014 00:46:00
Heure de mise à jour14.03.2023 23:25:25
Changement de statut14.03.2023 23:25:25
Dernière indexation16.01.2024 18:26:07
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