Disruptions of frontoparietal control network and default mode network linking the metacognitive deficits with clinical symptoms in schizophrenia
| Autor: | Yinmei Ni, Hong Zhu, Hongxiao Jia, Wenbin Jia, Rui Xu, Xiaohong Wan, Jie Su |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
0302 clinical medicine Cognition Parietal Lobe Default mode network Research Articles media_common Brain Mapping Radiological and Ultrasound Technology medicine.diagnostic_test PCC 05 social sciences fMRI Magnetic Resonance Imaging Frontal Lobe Neurology Schizophrenia Female Schizophrenic Psychology Anatomy Psychology Research Article Adult media_common.quotation_subject decision uncertainty dACC Decision Making Metacognition 050105 experimental psychology 03 medical and health sciences Young Adult Perception medicine Control network Humans 0501 psychology and cognitive sciences Radiology Nuclear Medicine and imaging In patient Balance (ability) Default Mode Network medicine.disease schizophrenia network imbalance Neurology (clinical) Nerve Net Functional magnetic resonance imaging Cognition Disorders Neuroscience 030217 neurology & neurosurgery Psychomotor Performance |
| Zdroj: | Human Brain Mapping |
| ISSN: | 1097-0193 1065-9471 |
| Popis: | The metacognitive deficit in awareness of one's own mental states is a core feature of schizophrenia (SZ). The previous studies suggested that the metacognitive deficit associates with clinical symptoms. However, the neural mechanisms underlying the relationship remain largely unknown. We here investigated the neural activities associated with the metacognitive deficit and the neural signatures associated with clinical symptoms in 38 patients with SZ using functional magnetic resonance imaging with a perceptual decision‐making task accompanied with metacognition, in comparison to 38 age, gender, and education matched healthy control subjects. The metacognitive deficit in patients with SZ was associated with reduced regional activity in both the frontoparietal control network (FPCN) and the default mode network. Critically, the anticorrelational balance between the two disrupted networks was substantially altered during metacognition, and the extent of alteration positively scaled with negative symptoms. Conversely, decoupling between the two networks was impaired when metacognitive monitoring was not required, and the strength of excessive neural activity positively scaled with positive symptoms. Thus, disruptions of the FPCN and the default mode network underlie the metacognitive deficit, and alternations of network balance between the two networks correlate with clinical symptoms in SZ. These findings implicate that rebalancing these networks holds important clinical potential in developing more efficacious therapeutic treatments. |
| Databáze: | OpenAIRE |
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