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Computational psychiatry

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63 papers 25 to 100 followers
By Abraham Nunes Psychiatry resident interested in computational neuroscience, forensic psychiatry, and neuropsychiatry.
https://www.readbyqxmd.com/read/28633363/development-initial-testing-and-challenges-of-an-ecologically-valid-reward-prediction-error-fmri-task-for-alcoholism
#1
Anita Cservenka, Kelly E Courtney, Dara G Ghahremani, Kent E Hutchison, Lara A Ray
Aims: To advance translational studies of the role of reward prediction error (PE) in alcohol use disorder, the present study sought to develop and conduct an initial test of an alcohol-specific PE task paradigm using functional magnetic resonance imaging in humans. Methods: Alcohol dependent or social drinkers received small tastes of their preferred alcohol beverage or control beverage, with preceding visual cues indicating whether alcohol (or water) would be delivered...
June 14, 2017: Alcohol and Alcoholism: International Journal of the Medical Council on Alcoholism
https://www.readbyqxmd.com/read/28626813/hallucinations-as-top-down-effects-on-perception
#2
Albert R Powers, Megan Kelley, Philip R Corlett
The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a 'top-down' manner by higher-level cognition-a natural extension of hierarchical models of perception-may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process...
September 2016: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/28506437/association-between-interleukin-6-and-striatal-prediction-error-signals-following-acute-stress-in-healthy-female-participants
#3
Michael T Treadway, Roee Admon, Amanda R Arulpragasam, Malavika Mehta, Samuel Douglas, Gordana Vitaliano, David P Olson, Jessica A Cooper, Diego A Pizzagalli
BACKGROUND: Stress is widely known to alter behavioral responses to rewards and punishments. It is believed that stress may precipitate these changes through modulation of corticostriatal circuitry involved in reinforcement learning and motivation, although the intervening mechanisms remain unclear. One candidate is inflammation, which can rapidly increase following stress and can disrupt dopamine-dependent reward pathways. METHODS: Here, in a sample of 88 healthy female participants, we first assessed the effect of an acute laboratory stress paradigm on levels of plasma interleukin-6 (IL-6), a cytokine known to be both responsive to stress and elevated in depression...
March 28, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/28495493/the-value-of-novelty-in-schizophrenia
#4
Cristina Martinelli, Francesco Rigoli, Bruno Averbeck, Sukhwinder S Shergill
Influential models of schizophrenia suggest that patients experience incoming stimuli as excessively novel and motivating, with important consequences for hallucinatory experience and delusional belief. However, whether schizophrenia patients exhibit excessive novelty value and whether this interferes with adaptive behaviour has not yet been formally tested. Here, we employed a three-armed bandit task to investigate this hypothesis. Schizophrenia patients and healthy controls were first familiarised with a group of images and then asked to repeatedly choose between familiar and unfamiliar images associated with different monetary reward probabilities...
May 8, 2017: Schizophrenia Research
https://www.readbyqxmd.com/read/28334960/neural-mechanisms-of-reinforcement-learning-in-unmedicated-patients-with-major-depressive-disorder
#5
Marcus Rothkirch, Jonas Tonn, Stephan Köhler, Philipp Sterzer
According to current concepts, major depressive disorder is strongly related to dysfunctional neural processing of motivational information, entailing impairments in reinforcement learning. While computational modelling can reveal the precise nature of neural learning signals, it has not been used to study learning-related neural dysfunctions in unmedicated patients with major depressive disorder so far. We thus aimed at comparing the neural coding of reward and punishment prediction errors, representing indicators of neural learning-related processes, between unmedicated patients with major depressive disorder and healthy participants...
April 1, 2017: Brain: a Journal of Neurology
https://www.readbyqxmd.com/read/28301764/reward-processing-neuroeconomics-and-psychopathology
#6
David H Zald, Michael T Treadway
Abnormal reward processing is a prominent transdiagnostic feature of psychopathology. The present review provides a framework for considering the different aspects of reward processing and their assessment, and highlights recent insights from the field of neuroeconomics that may aid in understanding these processes. Although altered reward processing in psychopathology has often been treated as a general hypo- or hyperresponsivity to reward, increasing data indicate that a comprehensive understanding of reward dysfunction requires characterization within more specific reward-processing domains, including subjective valuation, discounting, hedonics, reward anticipation and facilitation, and reinforcement learning...
May 8, 2017: Annual Review of Clinical Psychology
https://www.readbyqxmd.com/read/28298555/low-lifetime-stress-exposure-is-associated-with-reduced-stimulus-response-memory
#7
Elizabeth V Goldfarb, Grant S Shields, Nathaniel D Daw, George M Slavich, Elizabeth A Phelps
Exposure to stress throughout life can cumulatively influence later health, even among young adults. The negative effects of high cumulative stress exposure are well-known, and a shift from episodic to stimulus-response memory has been proposed to underlie forms of psychopathology that are related to high lifetime stress. At the other extreme, effects of very low stress exposure are mixed, with some studies reporting that low stress leads to better outcomes, while others demonstrate that low stress is associated with diminished resilience and negative outcomes...
April 2017: Learning & Memory
https://www.readbyqxmd.com/read/28231717/association-of-elevated-reward-prediction-error-response-with-weight-gain-in-adolescent-anorexia-nervosa
#8
Marisa DeGuzman, Megan E Shott, Tony T Yang, Justin Riederer, Guido K W Frank
OBJECTIVE: Anorexia nervosa is a psychiatric disorder of unknown etiology. Understanding associations between behavior and neurobiology is important in treatment development. Using a novel monetary reward task during functional magnetic resonance brain imaging, the authors tested how brain reward learning in adolescent anorexia nervosa changes with weight restoration. METHOD: Female adolescents with anorexia nervosa (N=21; mean age, 16.4 years [SD=1.9]) underwent functional MRI (fMRI) before and after treatment; similarly, healthy female control adolescents (N=21; mean age, 15...
February 24, 2017: American Journal of Psychiatry
https://www.readbyqxmd.com/read/28230848/computational-approaches-to-fmri-analysis
#9
Jonathan D Cohen, Nathaniel Daw, Barbara Engelhardt, Uri Hasson, Kai Li, Yael Niv, Kenneth A Norman, Jonathan Pillow, Peter J Ramadge, Nicholas B Turk-Browne, Theodore L Willke
Analysis methods in cognitive neuroscience have not always matched the richness of fMRI data. Early methods focused on estimating neural activity within individual voxels or regions, averaged over trials or blocks and modeled separately in each participant. This approach mostly neglected the distributed nature of neural representations over voxels, the continuous dynamics of neural activity during tasks, the statistical benefits of performing joint inference over multiple participants and the value of using predictive models to constrain analysis...
February 23, 2017: Nature Neuroscience
https://www.readbyqxmd.com/read/28225034/simulating-future-value-in-intertemporal-choice
#10
Alec Solway, Terry Lohrenz, P Read Montague
The laboratory study of how humans and other animals trade-off value and time has a long and storied history, and is the subject of a vast literature. However, despite a long history of study, there is no agreed upon mechanistic explanation of how intertemporal choice preferences arise. Several theorists have recently proposed model-based reinforcement learning as a candidate framework. This framework describes a suite of algorithms by which a model of the environment, in the form of a state transition function and reward function, can be converted on-line into a decision...
February 22, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28218248/shared-mechanism-for-emotion-processing-in-adolescents-with-and-without-autism
#11
Christina Ioannou, Marwa El Zein, Valentin Wyart, Isabelle Scheid, Frédérique Amsellem, Richard Delorme, Coralie Chevallier, Julie Grèzes
Although, the quest to understand emotional processing in individuals with Autism Spectrum Disorders (ASD) has led to an impressive number of studies, the picture that emerges from this research remains inconsistent. Some studies find that Typically Developing (TD) individuals outperform those with ASD in emotion recognition tasks, others find no such difference. In this paper, we move beyond focusing on potential group differences in behaviour to answer what we believe is a more pressing question: do individuals with ASD use the same mechanisms to process emotional cues? To this end, we rely on model-based analyses of participants' accuracy during an emotion categorisation task in which displays of anger and fear are paired with direct vs...
February 20, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28081134/pain-a-statistical-account
#12
REVIEW
Abby Tabor, Michael A Thacker, G Lorimer Moseley, Konrad P Körding
Perception is seen as a process that utilises partial and noisy information to construct a coherent understanding of the world. Here we argue that the experience of pain is no different; it is based on incomplete, multimodal information, which is used to estimate potential bodily threat. We outline a Bayesian inference model, incorporating the key components of cue combination, causal inference, and temporal integration, which highlights the statistical problems in everyday perception. It is from this platform that we are able to review the pain literature, providing evidence from experimental, acute, and persistent phenomena to demonstrate the advantages of adopting a statistical account in pain...
January 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/27884424/vision-as-a-beachhead
#13
REVIEW
David J Heeger, Marlene Behrmann, Ilan Dinstein
When neural circuits develop abnormally due to different genetic deficits and/or environmental insults, neural computations and the behaviors that rely on them are altered. Computational theories that relate neural circuits with specific quantifiable behavioral and physiological phenomena, therefore, serve as extremely useful tools for elucidating the neuropathological mechanisms that underlie different disorders. The visual system is particularly well suited for characterizing differences in neural computations; computational theories of vision are well established, and empirical protocols for measuring the parameters of those theories are well developed...
May 15, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/27710793/an-upside-to-reward-sensitivity-the-hippocampus-supports-enhanced-reinforcement-learning-in-adolescence
#14
Juliet Y Davidow, Karin Foerde, Adriana Galván, Daphna Shohamy
Adolescents are notorious for engaging in reward-seeking behaviors, a tendency attributed to heightened activity in the brain's reward systems during adolescence. It has been suggested that reward sensitivity in adolescence might be adaptive, but evidence of an adaptive role has been scarce. Using a probabilistic reinforcement learning task combined with reinforcement learning models and fMRI, we found that adolescents showed better reinforcement learning and a stronger link between reinforcement learning and episodic memory for rewarding outcomes...
October 5, 2016: Neuron
https://www.readbyqxmd.com/read/27105903/motivational-context-modulates-prediction-error-response-in-schizophrenia
#15
Jenna M Reinen, Jared X Van Snellenberg, Guillermo Horga, Anissa Abi-Dargham, Nathaniel D Daw, Daphna Shohamy
BACKGROUND: Recent findings demonstrate that patients with schizophrenia are worse at learning to predict rewards than losses, suggesting that motivational context modulates learning in this disease. However, these findings derive from studies in patients treated with antipsychotic medications, D2 receptor antagonists that may interfere with the neural systems that underlie motivation and learning. Thus, it remains unknown how motivational context affects learning in schizophrenia, separate from the effects of medication...
November 2016: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/25122479/optimal-behavioral-hierarchy
#16
Alec Solway, Carlos Diuk, Natalia Córdova, Debbie Yee, Andrew G Barto, Yael Niv, Matthew M Botvinick
Human behavior has long been recognized to display hierarchical structure: actions fit together into subtasks, which cohere into extended goal-directed activities. Arranging actions hierarchically has well established benefits, allowing behaviors to be represented efficiently by the brain, and allowing solutions to new tasks to be discovered easily. However, these payoffs depend on the particular way in which actions are organized into a hierarchy, the specific way in which tasks are carved up into subtasks...
August 2014: PLoS Computational Biology
https://www.readbyqxmd.com/read/27497292/an-investigation-of-habit-learning-in-anorexia-nervosa
#17
Lauren R Godier, Sanne de Wit, Anthony Pinto, Joanna E Steinglass, Ashley L Greene, Jessica Scaife, Claire M Gillan, B Timothy Walsh, Helen-Blair Simpson, Rebecca J Park
Anorexia Nervosa (AN) is a disorder characterised by compulsive behaviour, such as self-starvation and excessive exercise, which develop in the pursuit of weight-loss. Recent theory suggests that once established, compulsive weight-loss behaviours in AN may become habitual. In two parallel studies, we measured whether individuals with AN showed a bias toward habits using two outcome-devaluation tasks. In Study 1, 23 women with AN (restrictive and binge/purge subtypes), and 18 healthy controls (HC) completed the slips-of-action paradigm, designed to assess reward-based habits...
October 30, 2016: Psychiatry Research
https://www.readbyqxmd.com/read/27452791/an-integrative-perspective-on-the-role-of-dopamine-in-schizophrenia
#18
REVIEW
Tiago V Maia, Michael J Frank
We propose that schizophrenia involves a combination of decreased phasic dopamine responses for relevant stimuli and increased spontaneous phasic dopamine release. Using insights from computational reinforcement-learning models and basic-science studies of the dopamine system, we show that each of these two disturbances contributes to a specific symptom domain and explains a large set of experimental findings associated with that domain. Reduced phasic responses for relevant stimuli help to explain negative symptoms and provide a unified explanation for the following experimental findings in schizophrenia, most of which have been shown to correlate with negative symptoms: reduced learning from rewards; blunted activation of the ventral striatum, midbrain, and other limbic regions for rewards and positive prediction errors; blunted activation of the ventral striatum during reward anticipation; blunted autonomic responding for relevant stimuli; blunted neural activation for aversive outcomes and aversive prediction errors; reduced willingness to expend effort for rewards; and psychomotor slowing...
January 1, 2017: Biological Psychiatry
https://www.readbyqxmd.com/read/23525044/dopamine-restores-reward-prediction-errors-in-old-age
#19
RANDOMIZED CONTROLLED TRIAL
Rumana Chowdhury, Marc Guitart-Masip, Christian Lambert, Peter Dayan, Quentin Huys, Emrah Düzel, Raymond J Dolan
Senescence affects the ability to utilize information about the likelihood of rewards for optimal decision-making. Using functional magnetic resonance imaging in humans, we found that healthy older adults had an abnormal signature of expected value, resulting in an incomplete reward prediction error (RPE) signal in the nucleus accumbens, a brain region that receives rich input projections from substantia nigra/ventral tegmental area (SN/VTA) dopaminergic neurons. Structural connectivity between SN/VTA and striatum, measured by diffusion tensor imaging, was tightly coupled to inter-individual differences in the expression of this expected reward value signal...
May 2013: Nature Neuroscience
https://www.readbyqxmd.com/read/24232442/differential-but-not-opponent-effects-of-l-dopa-and-citalopram-on-action-learning-with-reward-and-punishment
#20
RANDOMIZED CONTROLLED TRIAL
Marc Guitart-Masip, Marcos Economides, Quentin J M Huys, Michael J Frank, Rumana Chowdhury, Emrah Duzel, Peter Dayan, Raymond J Dolan
RATIONALE: Decision-making involves two fundamental axes of control namely valence, spanning reward and punishment, and action, spanning invigoration and inhibition. We recently exploited a go/no-go task whose contingencies explicitly decouple valence and action to show that these axes are inextricably coupled during learning. This results in a disadvantage in learning to go to avoid punishment and in learning to no-go to obtain a reward. The neuromodulators dopamine and serotonin are likely to play a role in these asymmetries: Dopamine signals anticipation of future rewards and is also involved in an invigoration of motor responses leading to reward, but it also arbitrates between different forms of control...
March 2014: Psychopharmacology
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