Search Results - "Karvelis, Povilas"
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Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration
Published in eLife (14-05-2018)“…Recent theories propose that schizophrenia/schizotypy and autistic spectrum disorder are related to impairments in Bayesian inference that is, how the brain…”
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2
Acquisition of visual priors and induced hallucinations in chronic schizophrenia
Published in Brain (London, England : 1878) (01-08-2019)“…Prominent theories suggest that symptoms of schizophrenia stem from learning deficiencies resulting in distorted internal models of the world. To test these…”
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3
Visual statistical learning and integration of perceptual priors are intact in attention deficit hyperactivity disorder
Published in PloS one (17-12-2020)“…Deficits in visual statistical learning and predictive processing could in principle explain the key characteristics of inattention and distractibility in…”
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4
A Computational Model of Hopelessness and Active-Escape Bias in Suicidality
Published in Computational psychiatry (31-03-2022)“…Currently, psychiatric practice lacks reliable predictive tools and a sufficiently detailed mechanistic understanding of suicidal thoughts and behaviors (STB)…”
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5
Suicide prevention and ketamine: insights from computational modeling
Published in Frontiers in psychiatry (29-06-2023)“…Suicide is a pressing public health issue, with over 700,000 individuals dying each year. Ketamine has emerged as a promising treatment for suicidal thoughts…”
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6
Altered Perception of Environmental Volatility During Social Learning in Emerging Psychosis
Published in Computational psychiatry (07-02-2024)“…Paranoid delusions or unfounded beliefs that others intend to deliberately cause harm are a frequent and burdensome symptom in early psychosis, but their…”
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Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review
Published in Network neuroscience (Cambridge, Mass.) (01-10-2022)“…Major depressive disorder is a heterogeneous diagnostic category with multiple available treatments. With the goal of optimizing treatment selection,…”
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The Influence of Feedback on Task-Switching Performance: A Drift Diffusion Modeling Account
Published in Frontiers in integrative neuroscience (02-02-2018)“…Task-switching is an important cognitive skill that facilitates our ability to choose appropriate behavior in a varied and changing environment. Task-switching…”
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218. Clarifying the Reliability Paradox: Poor Test-Retest Reliability Attenuates Group Differences
Published in Biological psychiatry (1969) (15-05-2024)Get full text
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Formalizing Pavlovian Biases During Probabilistic Aversive Learning for Suicide Prevention
Published in Biological psychiatry (1969) (15-05-2024)Get full text
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11
Individual differences in computational psychiatry: A review of current challenges
Published in Neuroscience and biobehavioral reviews (01-05-2023)“…Bringing precision to the understanding and treatment of mental disorders requires instruments for studying clinically relevant individual differences. One…”
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109. The Challenges of Measuring Individual Differences in Computational Psychiatry
Published in Biological psychiatry (1969) (01-05-2023)Get full text
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13
Rethinking interpersonal judgments: dopamine antagonists impact attributional dynamics
Published in Trends in cognitive sciences (01-08-2024)“…Barnby et al. investigated the effects of haloperidol, a D2/D3 dopamine antagonist, on social attributions. Using computational modeling, they demonstrate that…”
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14
Enhanced Sensory Precision in Autism Spectrum Disorders and Schizophrenia
Published in Biological psychiatry (1969) (15-05-2024)Get full text
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15
473. Identifying Suicidal Subtypes Using Computational Modelling
Published in Biological psychiatry (1969) (15-05-2024)Get full text
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16
Test-retest reliability of behavioral and computational measures of advice taking under volatility
Published in PloS one (18-11-2024)“…The development of computational models for studying mental disorders is on the rise. However, their psychometric properties remain understudied, posing a risk…”
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