Neurocomputational Models of Schizophrenia

Ahmed Abdelhaim Moustafa, Błażej Misiak, Dorota Frydecka

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review


Schizophrenia is a complex neurodevelopmental disorder with relatively stable prevalence rates estimated at about 0.5% (Saha, Chant, Welham, & McGrath, 2005). Schizophrenia is characterized by co-occurrence of multiple psychopathological symptoms that have been conceptualized as positive symptoms (delusions and hallucinations), negative symptoms (e.g., apathy, avolition, affective flattening, and social withdrawal), affective symptoms and cognitive impairment. These dimensions of schizophrenia psychopathology have complex underlying neural substrates. For instance, alterations in frontotemporal cortical networks have been most consistently related to negative symptoms (Millan, Fone, Steckler, & Horan, 2014), while aberrant neurotransmission within basal ganglia (Perez-Costas, Melendez-Ferro, & Roberts, 2010) and the hippocampus (Heckers, 2001) has been shown to underlie positive symptoms. More complex neural substrates have been shown for the cognitive impairment that is present in about 80% of patients and affects several domains of cognitive performance including attention, memory, reasoning, and processing speed (Barch & Ceaser, 2012; Bora, Yucel, & Pantelis, 2010; Keefe & Fenton, 2007; Keefe & Harvey, 2012).
Original languageEnglish
Title of host publicationComputational Models of Brain and Behavior
EditorsAhmed A. Moustafa
ISBN (Electronic)978-1-119-15918-6
ISBN (Print)978-1-119-15906-3
Publication statusPublished - 2018
Externally publishedYes


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