Efficacy of different types of cognitive enhancers for patients with schizophrenia: a meta-analysis

Sinkeviciute, Igne; Begemann, Marieke J H; Prikken, Merel; Oranje, Bob; Johnsen, Erik; Lei, Wan U.; Hugdahl, Kenneth; Kroken, Rune A.; Rau, Carina; Jacobs, Jolien; Mattaroccia, Silvia; Sommer, Iris

doi:10.1038/s41537-018-0064-6

Cited by 69 publications

(48 citation statements)

References 129 publications

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“…Cognitive deficits are a lifelong burden for patients with schizophrenia because there are so few effective medications including mainstay anti-dopaminergic agents (37,77). In line with the notion that dopaminergic dysfunction alone doesn't account for the whole picture of schizophrenia psychopathology (78,79), here we revealed that the networks and nodes predictive of individual cognitive symptom-load are related to both dopaminergic (32) and serotonergic systems (78).…”

Section: Molecular Architecture Of the Network Robustly Predicted Cosupporting

confidence: 76%

Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

Chen

Müller

Dukart

et al. 2021

Biological Psychiatry

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Section: Molecular Architecture Of the Network Robustly Predicted Cosupporting

confidence: 76%

Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

Chen

Müller

Dukart

et al. 2021

Biological Psychiatry

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show abstract

“…Cognitive deficits are a lifelong burden for patients with schizophrenia because there are so few effective medications including the mainstay anti-dopaminergic agents (37,77). In line with the notion that dopaminergic dysfunction alone doesn't account for the whole picture of schizophrenia psychopathology (78,79), here we revealed that the networks and nodes predictive of individual cognitive symptom-load are related to both dopaminergic (32) and serotonergic systems (78).…”

Section: Molecular Architecture Of the Identified Network Which Robusupporting

confidence: 80%

Connectivity patterns of task-specific brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and link to molecular architecture

Chen

Mueller

Dukart

et al. 2020

Preprint

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AbstractBackgroundDespite the marked inter-individual variability in the clinical presentation of schizophrenia, it remains unclear the extent to which individual dimensions of psychopathology may be reflected in variability across the collective set of functional brain connections. Here, we address this question using network-based predictive modeling of individual psychopathology along four data-driven symptom dimensions. Follow-up analyses assess the molecular underpinnings of predictive networks by relating them to neurotransmitter-receptor distribution patterns.MethodsWe investigated resting-state fMRI data from 147 schizophrenia patients recruited at seven sites. Individual expression along negative, positive, affective, and cognitive symptom dimensions was predicted using relevance vector machine based on functional connectivity within 17 meta-analytic task-networks following a repeated 10-fold cross-validation and leave-one-site-out analyses. Results were validated in an independent sample. Networks robustly predicting individual symptom dimensions were spatially correlated with density maps of nine receptors/transporters from prior molecular imaging in healthy populations.ResultsTen-fold and leave-one-site-out analyses revealed five predictive network-symptom associations. Connectivity within theory-of-mind, cognitive reappraisal, and mirror neuron networks predicted negative, positive, and affective symptom dimensions, respectively. Cognitive dimension was predicted by theory-of-mind and socio-affective-default networks. Importantly, these predictions generalized to the independent sample. Intriguingly, these two networks were positively associated with D1 dopamine receptor and serotonin reuptake transporter densities as well as dopamine-synthesis-capacity.ConclusionsWe revealed a robust association between intrinsic functional connectivity within networks for socio-affective processes and the cognitive dimension of psychopathology. By investigating the molecular architecture, the present work links dopaminergic and serotonergic systems with the functional topography of brain networks underlying cognitive symptoms in schizophrenia.

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“…Despite considerable efforts across dozens of studies, these agents have not been consistently successful in improving cognition and functioning. Overall, a recent meta‐analysis reported that across all available studies (n=93) there was a significant, though quite small (Hedges’ g=0.10), effect for overall cognition, with no significant effects for any cognitive subdomain.…”

Section: Interventions For Cognitive Impairmentsmentioning

confidence: 99%

Nonsocial and social cognition in schizophrenia: current evidence and future directions

2019

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Cognitive impairment in schizophrenia involves a broad array of nonsocial and social cognitive domains. It is a core feature of the illness, and one with substantial implications for treatment and prognosis. Our understanding of the causes, consequences and interventions for cognitive impairment in schizophrenia has grown substantially in recent years. Here we review a range of topics, including: a) the types of nonsocial cognitive, social cognitive, and perceptual deficits in schizophrenia; b) how deficits in schizophrenia are similar or different from those in other disorders; c) cognitive impairments in the prodromal period and over the lifespan in schizophrenia; d) neuroimaging of the neural substrates of nonsocial and social cognition, and e) relationships of nonsocial and social cognition to functional outcome. The paper also reviews the considerable efforts that have been directed to improve cognitive impairments in schizophrenia through novel psychopharmacology, cognitive remediation, social cognitive training, and alternative approaches. In the final section, we consider areas that are emerging and have the potential to provide future insights, including the interface of motivation and cognition, the influence of childhood adversity, metacognition, the role of neuroinflammation, computational modelling, the application of remote digital technology, and novel methods to evaluate brain network organization. The study of cognitive impairment has provided a way to approach, examine and comprehend a wide range of features of schizophrenia, and it may ultimately affect how we define and diagnose this complex disorder.

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Efficacy of different types of cognitive enhancers for patients with schizophrenia: a meta-analysis

Cited by 69 publications

References 129 publications

Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

Intrinsic Connectivity Patterns of Task-Defined Brain Networks Allow Individual Prediction of Cognitive Symptom Dimension of Schizophrenia and Are Linked to Molecular Architecture

Connectivity patterns of task-specific brain networks allow individual prediction of cognitive symptom dimension of schizophrenia and link to molecular architecture

Nonsocial and social cognition in schizophrenia: current evidence and future directions

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