Risk/reward decision-making in schizophrenia: A preliminary examination of the influence of tobacco smoking and relationship to Wisconsin Card Sorting Task performance

Yip, Sarah W.; Sacco, Kristi A.; George, Tony P.; Potenza, Marc N.

doi:10.1016/j.schres.2009.01.012

Cited by 50 publications

(29 citation statements)

References 50 publications

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“…In addition, indirect evidence for deficits in value computation comes from studies showing deficits on two tasks that rely upon the OFC: (1) reversal learning (Ceaser et al, 2008; Elliott et al, 1995; Oades, 1997; Pantelis et al, 1999; Turnbull et al, 2006; Tyson et al, 2004; Waltz and Gold, 2007) but see (Hutton et al, 1998; Jazbec et al, 2007; Joyce et al, 2002) for exceptions; and (2) the Iowa Gambling task (Kester et al, 2006; Kim et al, 2009; Lee et al, 2007; Martino et al, 2007; Premkumar et al, 2008; Sevy et al, 2007; Shurman et al, 2005; Yip et al, 2009), but some exceptions (Evans et al, 2005; Rodriguez-Sanchez et al, 2005; Turnbull et al, 2006; Wilder et al, 1998). Both tasks require the integration of information about rewards and punishments across trials to then update value representations appropriately.…”

Section: Approach Motivation and Behavior: Computing Value Computmentioning

confidence: 99%

The motivation and pleasure dimension of negative symptoms: Neural substrates and behavioral outputs

Kring

Deanna

2014

European Neuropsychopharmacology

293

210

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A range of emotional and motivation impairments have long been clinically documented in people with schizophrenia, and there has been a resurgence of interest in understanding the psychological and neural mechanisms of the so-called “negative symptoms” in schizophrenia, given their lack of treatment responsiveness and their role in constraining function and life satisfaction in this illness. Negative symptoms comprise two domains, with the first covering diminished motivation and pleasure across a range of life domains and the second covering diminished verbal and non-verbal expression and communicative output. In this review, we focus on four aspects of the motivation/pleasure domain, providing a brief review of the behavioral and neural underpinnings of this domain. First, we cover liking or in-the-moment pleasure: immediate responses to pleasurable stimuli. Second, we cover anticipatory pleasure or wanting, which involves prediction of a forthcoming enjoyable outcome (reward) and feeling pleasure in anticipation of that outcome. Third, we address motivation, which comprises effort computation, which involves figuring out how much effort is needed to achieve a desired outcome, planning, and behavioral response. Finally, we cover the maintenance emotional states and behavioral responses. Throughout, we consider the behavioral manifestations and brain representations of these four aspects of motivation/pleasure deficits in schizophrenia. We conclude with directions for future research as well as implications for treatment.

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Section: Approach Motivation and Behavior: Computing Value Computmentioning

confidence: 99%

The motivation and pleasure dimension of negative symptoms: Neural substrates and behavioral outputs

Kring

Deanna

2014

European Neuropsychopharmacology

293

210

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“…The literature on the Iowa Gambling Task in schizophrenia provides evidence for impairment (Shurman et al 2005;Kester et al 2006;Lee et al 2007;Martino et al 2007;Sevy et al 2007;Premkumar et al 2008;Kim et al 2009;Yip et al 2009), though with some exceptions (Wilder et al 1998;Evans et al 2005;RodriguezSanchez et al 2005;Turnbull et al 2006). In addition, several studies suggest impaired reversal learning in schizophrenia (Elliott et al 1995;Oades 1997;Pantelis et al 1999;Tyson et al 2004;Turnbull et al 2006;Waltz and Gold 2007;Ceaser et al 2008), though a few studies using the intra-dimensional/extradimensional task did not find simple reversal learning deficits in schizophrenia (Hutton et al 1998;Joyce et al 2002;Jazbec et al 2007).…”

Section: Schizophreniamentioning

confidence: 99%

Mechanisms Underlying Motivational Deficits in Psychopathology: Similarities and Differences in Depression and Schizophrenia

Deanna¹,

Pagliaccio²,

Luking³

2015

Current Topics in Behavioral Neurosciences

191

151

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Motivational and hedonic impairments are core aspects of a variety of types of psychopathology. These impairments cut across diagnostic categories and may be critical to understanding major aspects of the functional impairments accompanying psychopathology. Given the centrality of motivational and hedonic systems to psychopathology, the Research Domain Criteria (RDoC) initiative includes a "positive valence" systems domain that outlines a number of constructs that may be key to understanding the nature and mechanisms of motivational and hedonic impairments in psychopathology. These component constructs include initial responsiveness to reward, reward anticipation or expectancy, incentive or reinforcement learning, effort valuation, and action selection. Here, we review behavioral and neuroimaging studies providing evidence for impairments in these constructs in individuals with psychosis versus in individuals with depressive pathology. There are important differences in the nature of reward-related and hedonic deficits associated with psychosis versus depression that have major implications for our understanding of etiology and treatment development. In particular, the literature strongly suggests the presence of impairments in in-the-moment hedonics or "liking" in individuals with depressive pathology, particularly among those who experience anhedonia. Such deficits may propagate forward and contribute to impairments in other constructs that are dependent on hedonic responses, such as anticipation, learning, effort, and action selection. Such hedonic impairments could reflect alterations in dopamine and/or opioid signaling in the striatum related to depression or specifically to anhedonia in depressed populations. In contrast, the literature points to relatively intact in-the-moment hedonic processing in psychosis, but provides much evidence for impairments in other components involved in translating reward to action selection. Particularly, individuals with schizophrenia exhibit altered reward prediction and associated striatal and prefrontal activation, impaired reward learning, and impaired reward-modulated action selection.

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“…Tobacco and alcohol are the most frequently used substances among people with schizophrenia and in CHR than in the general population (Addington et al, 2014; Buchy et al, in press; de Leon and Diaz, 2005) and have been associated with neurocognitive function in schizophrenia (Morisano et al, 2013; Wing et al, 2011; Yip et al, 2009)(Allen et al, 1999; Cantor-Graae et al, 2001; Fowler et al, 1998; Manning et al, 2009) Stimulant use also has a deleterious effect on cognitive functions in people diagnosed with a psychotic disorder (Bahorik et al, 2014; Serper et al, 2000a; Serper et al, 2000b; Smelson et al, 2003; van der Meer et al, 2014), and other studies have reported elevated neurocognition in people with schizophrenia currently using cocaine (Bahorik et al, 2014; Benaiges et al, 2013). Therefore, these variables must be taken into account when interpreting results of the relationship between cannabis use and IQ across the schizophrenia spectrum.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the relationship between cannabis use and IQ in youth and young adults at clinical high risk of psychosis

Buchy

Seidman

Cadenhead

et al. 2015

Psychiatry Research

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Among people with psychosis, those with a history of cannabis use show better cognitive performance than those who are cannabis naïve. It is unknown whether this pattern is present in youth at clinical high risk (CHR) of psychosis. We evaluated relationships between IQ and cannabis use while controlling for use of other substances known to impact cognition in 678 CHR and 263 healthy control (HC) participants. IQ was estimated using the Vocabulary and Block Design subtests of the Wechsler Abbreviated Scale of Intelligence. Drug and alcohol use severity and frequency were assessed with the Alcohol and Drug Use Scale, and we inquired participants’ age at first use. CHR were further separated into early and late age at onset of cannabis use sub-groups, and low-, moderate- and high-frequency sub-groups. No significant differences in IQ emerged between CHR or HC cannabis users vs. non-users, or between use frequency groups. CHR late-onset users showed significantly higher IQ than CHR early-onset users. Age at onset of cannabis use was significantly and positively correlated with IQ in CHR only. Results suggest that age at onset of cannabis may be a more important factor for IQ than use current use or use frequency in CHR.

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Risk/reward decision-making in schizophrenia: A preliminary examination of the influence of tobacco smoking and relationship to Wisconsin Card Sorting Task performance

Cited by 50 publications

References 50 publications

The motivation and pleasure dimension of negative symptoms: Neural substrates and behavioral outputs

The motivation and pleasure dimension of negative symptoms: Neural substrates and behavioral outputs

Mechanisms Underlying Motivational Deficits in Psychopathology: Similarities and Differences in Depression and Schizophrenia

Evaluating the relationship between cannabis use and IQ in youth and young adults at clinical high risk of psychosis

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