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Brain Metabolism during Hallucination-Like Auditory Stimulation in Schizophrenia

Overview of attention for article published in PLOS ONE, January 2014
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Title
Brain Metabolism during Hallucination-Like Auditory Stimulation in Schizophrenia
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0084987
Pubmed ID
Authors

Guillermo Horga, Emilio Fernández-Egea, Anna Mané, Mireia Font, Kelly C. Schatz, Carles Falcon, Francisco Lomeña, Miguel Bernardo, Eduard Parellada

Abstract

Auditory verbal hallucinations (AVH) in schizophrenia are typically characterized by rich emotional content. Despite the prominent role of emotion in regulating normal perception, the neural interface between emotion-processing regions such as the amygdala and auditory regions involved in perception remains relatively unexplored in AVH. Here, we studied brain metabolism using FDG-PET in 9 remitted patients with schizophrenia that previously reported severe AVH during an acute psychotic episode and 8 matched healthy controls. Participants were scanned twice: (1) at rest and (2) during the perception of aversive auditory stimuli mimicking the content of AVH. Compared to controls, remitted patients showed an exaggerated response to the AVH-like stimuli in limbic and paralimbic regions, including the left amygdala. Furthermore, patients displayed abnormally strong connections between the amygdala and auditory regions of the cortex and thalamus, along with abnormally weak connections between the amygdala and medial prefrontal cortex. These results suggest that abnormal modulation of the auditory cortex by limbic-thalamic structures might be involved in the pathophysiology of AVH and may potentially account for the emotional features that characterize hallucinatory percepts in schizophrenia.

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Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Spain 1 2%
Unknown 62 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 14%
Student > Master 8 13%
Student > Bachelor 8 13%
Student > Ph. D. Student 7 11%
Student > Doctoral Student 5 8%
Other 10 16%
Unknown 17 27%
Readers by discipline Count As %
Psychology 17 27%
Medicine and Dentistry 9 14%
Neuroscience 8 13%
Biochemistry, Genetics and Molecular Biology 2 3%
Nursing and Health Professions 2 3%
Other 6 9%
Unknown 20 31%