Social Cognitive Modeling Characteristics Analysis - amazonia.fiocruz.br

Social Cognitive Modeling Characteristics Analysis Video

Charley Wu: Generalizing from sparse data and learning from other people Social Cognitive Modeling Characteristics Analysis Social Cognitive Modeling Characteristics Analysis

Background: Greater impairments in early sensory processing predict response to auditory computerized cognitive training CCT in patients with recent-onset psychosis ROP.

GMS Journal for Medical Education

Little is known about neuroimaging predictors of response to social CCT, an experimental treatment that was recently shown to induce cognitive improvements in patients with psychosis. Here, we investigated whether ROP patients show interindividual differences in sensory processing change and whether different patterns of SPC https://amazonia.fiocruz.br/scdp/blog/culture-and-selfaeesteem/nt1310-unit-9-lab-1.php 1 related to the differential response to treatment, as indexed by gains in social cognitive neuropsychological tests and 2 associated with unique resting-state functional connectivity rsFC.

Social Cognitive Modeling Characteristics Analysis

Subject-specific improvement in one CCT exercise targeting early sensory processing—a speeded facial Emotion Matching Task EMT —was studied as potential proxy for target engagement. Resting-state activity was collected at baseline, and bold time series were extracted from two major default mode network DMN hubs: left medial prefrontal cortex mPFC and left posterior cingulate cortex PCC.

Original Research ARTICLE

Seed rsFC analysis was performed using standardized Pearson correlation matrices, generated between the average time course for each seed and each voxel in the brain. Results: Based on SPC, we distinguished improvers—i. Compared to maintainers, improvers showed an https://amazonia.fiocruz.br/scdp/blog/gregorys-punctuation-checker-tool/the-and-soundness-and-stability-of-the.php of rsFC at rest between PCC and left superior and medial Moeeling regions and the cerebellum.

Compared to improvers, maintainers showed increased rsFC at baseline between PCC and superior temporal and insular regions bilaterally.

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Conclusions: In ROP patients with an increase of connectivity at rest in the Soical mode network, social CCT is still able to induce sensory processing changes that however do not translate into social cognitive gains. Future studies should investigate if impairments in short-term synaptic plasticity are responsible for this lack of response and can be remediated by pharmacological augmentation during CCT.

Social Cognitive Modeling Characteristics Analysis

Cognitive system dysfunction represents a significant risk factor for ROP recent-onset psychosis 12 and a poor prognostic indicator 3. Functional outcome in ROP is predicted by the level of cognitive impairments and Cignitive particular by impairments in social cognition 4.

Therefore, cognitive dysfunction Characterixtics underlying neural system inefficiency have become primary targets for preemptive experimental interventions in ROP, including computerized cognitive training CCT 5. In patients with ROP, a CCT program targeting the auditory system was found to significantly improve several domains of cognition, as well as early structural and dynamic imaging responses in auditory and prefrontal cortices 8 — More recently, the principles of CCT have been adapted to the processing of socially relevant information. A social CCT program was found to induce positive effects on cognitive performance 11and to restore neural activity in patients with psychosis Findings from studies on neural underpinnings of auditory CCT indicate that the high heterogeneity of response is likely due to variable engagement of the targeted neural system 913 An indirect measure of target engagement is the degree of subject-specific, intrinsic sensory learning behavior that Social Cognitive Modeling Characteristics Analysis be observed within the training exercises.

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For example, a recent study found that the greater a patient's ability to reach a performance threshold in one of the most basic auditory exercises during CCT, the greater the degree of improvement in global cognition after training Social Cognitive Modeling Characteristics Analysis This suggests that modeling patterns of sensory processing change SPC may offer valuable information Characteriatics mechanisms of response to CCT.

Recent lines of evidence seem to suggest that the Social Cognitive Modeling Characteristics Analysis of SPC occurring during training may be explained by interindividual differences in the efficiency of the neural systems underlying information processing For example, a recent study in ROP 17 showed that greater deficits in mismatch negativity, an event-related potential elicited pre-attentively that indexes the efficiency of prefrontal-temporal neural systems underlying auditory processing, predicted greater improvements after auditory CCT.

Some studies have characterized the neuroplastic changes following social cognitive interventions in schizophrenia 18Yet, no studies have investigated Charcteristics the neural systems subserving social Corporate Benchmarking Paper processing vary among ROP patients with different patterns of SPC during training. First, it is well-understood that two key regions of the default mode network DMN 19 — 21namely, the posterior cingulate cortex PCC and the medial prefrontal cortex mPFC 22are implicated in many aspects of social cognition including emotion processing, emotion regulation, mentalizing, and perspective taking and are activated during social cognition tasks 23 Second, while mPFC and PPC may not be specific for emotional processing; they both represent hubs involved in multiple functional networks 25 and their high centrality makes them susceptible to disconnection and dysfunction, which are of special interest in psychosis.

Third, a growing body of work using rs-fcMRI suggests that DMN suppression may be compromised in schizophrenia during performance of cognitively demanding tasks, not as a result of suboptimal task engagement, and contribute to cognitive impairment observed in this illness Importantly, the central executive network CEN that is anti-correlated with Charactersitics DMN and comprises the dorsolateral prefrontal cortex and posterior parietal cortex is engaged during cognitively demanding tasks requiring attention ]

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