Open AccessAbnormal prediction error processing in schizophrenia and depression
Author(s) -
Yaple Zachary Adam,
Tolomeo Serenella,
Yu Rongjun
Publication year - 2021
Publication title -
human brain mapping
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.005
H-Index - 191
eISSN - 1097-0193
pISSN - 1065-9471
DOI - 10.1002/hbm.25453
Subject(s) - insula , schizophrenia (object oriented programming) , psychology , depression (economics) , posterior cingulate , prefrontal cortex , anterior cingulate cortex , mean squared prediction error , neuroscience , audiology , psychiatry , cortex (anatomy) , medicine , cognition , machine learning , computer science , economics , macroeconomics
To make adaptive decisions under uncertainty, individuals need to actively monitor the discrepancy between expected outcomes and actual outcomes, known as prediction errors. Reward‐based learning deficits have been shown in both depression and schizophrenia patients. For this study, we compiled studies that investigated prediction error processing in depression and schizophrenia patients and performed a series of meta‐analyses. In both groups, positive t‐maps of prediction error tend to yield striatum activity across studies. The analysis of negative t‐maps of prediction error revealed two large clusters within the right superior and inferior frontal lobes in schizophrenia and the medial prefrontal cortex and bilateral insula in depression. The concordant posterior cingulate activity was observed in both patient groups, more prominent in the depression group and absent in the healthy control group. These findings suggest a possible role in dopamine‐rich areas associated with the encoding of prediction errors in depression and schizophrenia.