Psychopharmacology (Berl)
September 2023
Rationale: Stimulant drugs like methamphetamine (MA) activate brain reward circuitry, which is linked to the development of problematic drug use. It is not clear how drugs like MA alter neural response to a non-drug reward.
Objectives: We examined how acute MA impacts neural response to receipt of a monetary reward relative to a loss in healthy adults.
The cognitive control network (CCN) is an important network responsible for performing and modulating executive functions. In adolescents, alcohol use has been associated with weaker cognitive control, higher reward sensitivity, and later-in-life alcohol problems. Given that the CCN continues to develop into young adulthood, it is important to understand relations between early alcohol use, the CCN, and reward networks.
View Article and Find Full Text PDFIntroduction: Disruptions in neural responses to reward are implicated in risk for Alcohol Use Disorder (AUD) and Major Depressive Disorder (MDD). It is not clear whether these findings extend to those in remission from AUD and MDD, a critical question as studies of remission can (a) rule out effects due to current symptoms, and (b) can reveal potential trait-like differences.
Methods: Individuals with and without remitted AUD (rAUD) and/or rMDD (rMDD) were drawn from a larger study to create four groups: rAUD (n = 54), rMDD (n = 66), rAUD + rMDD (n = 53), and a community control group (CCG; n = 81).
Background: Adolescents and young adults may use cannabidiol (CBD) products in an attempt to reduce depression and anxiety symptoms, despite little research examining this use. This systematic review evaluated preclinical and clinical research on the effects of CBD on depressive and anxiety disorders in adolescence and young adulthood. To provide context, we discuss CBD's mechanism of action and neurodevelopmental effects.
View Article and Find Full Text PDFThe reward positivity (RewP) event-related potential is a well-validated measure of reward processing implicated in internalizing psychopathologies. The RewP is thought to reflect reward reactivity in the mesocorticolimbic system; however, it is not clear how the RewP is related to the functional connectivity of reward-related brain regions. The current study examined associations between the RewP (Win and Loss residuals) and resting-state fMRI (rs-fMRI), among adults with internalizing psychopathology (IP) and healthy controls (HC).
View Article and Find Full Text PDFIntroduction: Alcohol, nicotine, and marijuana are the three most widely used substances among adolescents and young adults, with co-use of multiple substances being common. Few longitudinal studies have examined risk factors of alcohol, marijuana, and nicotine poly-substance use. We examined frequency of alcohol, marijuana, and cigarette poly-substance use over time and how key risk factors contribute to this substance use during adolescence and young adulthood.
View Article and Find Full Text PDFSocial anxiety disorder (SAD) is a common heterogeneous disorder characterized by excessive fear and deficient positive experiences. Case-control emotion processing studies indicate that altered amygdala and striatum function may underlie SAD; however, links between these regions and symptomatology have yet to be established. Therefore, in the current study, 80 individuals diagnosed with SAD completed a validated emotion processing task during functional magnetic resonance imaging.
View Article and Find Full Text PDFBackground: Few studies have examined how Δ9-Tetrahydrocannabinol (THC), the main psychoactive component of cannabis, impacts brain reward circuitry in humans. In this study, we examined if an acute dose of THC altered resting state functional connectivity between the striatum and prefrontal cortex among healthy young adults with limited cannabis use.
Methods: Participants received THC (n = 24) or placebo (n = 22) in a double-blind, randomized, between-subject design.
Background: Alcohol use disorder (AUD) remains an unresolved source of morbidity and mortality. Psychopharmacological challenge studies and neuroimaging experiments are two methods used to identify risk of problematic substance use. The present study combined these two approaches by examining associations between self-reported stimulation, sedation, liking or wanting more after a dose of alcohol and neural-based responses to anticipation of monetary gain and loss.
View Article and Find Full Text PDFIntroduction: Disruptions in neural measures of reward responsiveness are implicated in risk for and the development of Substance Use Disorders (SUDs) in general, but it is not clear if this is also true for Cannabis Use Disorder (CUD). To date, no studies have examined neural reward responsiveness in cannabis users using EEG.
Methods: Cannabis users (CU; n = 67) and non-users (n = 60) were drawn from larger studies of individuals with and without internalizing and externalizing psychopathology.
Neuropsychopharmacology
January 2021
One well-known phenotypic risk factor for the development of alcohol use disorder is sensitivity to the rewarding effects of alcohol. In the present study, we examined whether individuals who are sensitive to alcohol reward are also sensitive to nondrug rewards, thereby reflecting a broader individual difference risk factor. Specifically, we tested the hypothesis that subjective response to acute rewarding effects of alcohol would be related to neural activation during monetary reward receipt relative to loss (in the absence of alcohol).
View Article and Find Full Text PDFThe cognitive processes involved in inhibitory control accuracy (IC) and interference resolution speed (IR) or broadly - inhibition - are discussed in this review, and both are described within the context of a lifespan model of mood disorders. Inhibitory control (IC) is a binary outcome (success or no for response selection and inhibition of unwanted responses) for any given event that is influenced to an extent by IR. IR refers to the process of inhibition, which can be manipulated by task design in earlier and later stages through use of distractors and timing, and manipulation of individual differences in response proclivity.
View Article and Find Full Text PDFBackground: Drug addiction and dependence continue as an unresolved source of morbidity and mortality. Two approaches to identifying risk for abuse and addiction are psychopharmacological challenge studies and neuroimaging experiments. The present study combined these two approaches by examining associations between self-reported euphoria or liking after a dose of d-amphetamine and neural-based responses to anticipation of a monetary reward.
View Article and Find Full Text PDFIndividuals with impulsive and addictive disorders, including drug addiction, binge eating/obesity, and problem gambling, exhibit both impaired control over behavior and heightened sensitivity to reward. However, it is not known whether such deviation in inhibitory and reward circuitry among clinical populations is a cause or consequence of the disorders. Recent evidence suggests that these constructs may be related at the neural level, and together, increase risk for engaging in maladaptive behaviors.
View Article and Find Full Text PDFBackground: Three well-established intrinsic connectivity networks (ICNs) involved in cognitive-affective processing include the cognitive control network (CCN), default mode network (DMN), and salience and emotional network (SEN). Despite recent advances in understanding developmental changes in these ICNs, the majority of research has focused on single seeds or networks in isolation with limited age ranges. Additionally, although internalizing psychopathologies (IPs), such as anxiety and depression, are often characterized by maladaptive cognitive-affective processing styles, it is not clear how IP history influences age-related changes in brain networks.
View Article and Find Full Text PDFCannabis use is prevalent but only a minority of regular users develop cannabis use disorder (CUD); thus, CUD risk identification among current cannabis users is vital for targeted intervention development. Existing data suggest that high distress intolerance (DI), an individual difference reflective of the ability to withstand negative affect, is linked to CUD, possibly via stress-elicited impairment of response inhibition but this has never been explicitly tested. Frequent cannabis users with high and low DI completed a go/no-go task during EEG recording before and after a laboratory stressor.
View Article and Find Full Text PDFBackground: Decreased amygdala-orbitofrontal cortex (OFC) neural functional connectivity (FC) positively predicts alcohol use among adolescents. Low amygdala-OFC FC is also associated with poor emotion regulation, a trait robustly linked to alcohol use. Thus, decreased amygdala-OFC connectivity may represent a risk factor for the development of alcohol use disorder (AUD) via impaired emotion regulation or reward processing.
View Article and Find Full Text PDFBackground: Major depressive disorder (MDD) and anxiety disorders are highly comorbid, sharing many similar symptoms, including impairments in cognitive control. Deficits in cognitive control could be a potential mechanism underlying impaired emotion regulation in mood disorders.
Methods: Participants were 44 individuals with no history of mental illness (healthy controls, HC), 31 individuals in the remitted state of MDD (rMDD), and 18 individuals who met lifetime DSM-IV-TR criteria for rMDD and an anxiety disorder in remission (Comorbid).
Background: Rates of comorbid alcohol use disorder (AUD) and posttraumatic stress disorder (PTSD) are increasing among post-9/11 veterans, and emotion regulation problems have been identified as a feature of both disorders. However, no studies to date have explored how individual differences in emotion regulation may moderate the relationship between PTSD symptoms and alcohol use. We evaluated how two core emotion regulation strategies - one adaptive (i.
View Article and Find Full Text PDFProg Neuropsychopharmacol Biol Psychiatry
April 2019
A large number of studies have attempted to use neuroimaging tools to aid in treatment prediction models for major depressive disorder (MDD). Most such studies have reported on only one dimension of function and prediction at a time. In this study, we used three different tasks across domains of function (emotion processing, reward anticipation, and cognitive control, plus resting state connectivity completed prior to start of medication to predict treatment response in 13-36 adults with MDD.
View Article and Find Full Text PDFPurpose Of Review: We set out to review the current state of science in neuroprediction, using biological measures of brain function, with task based fMRI to prospectively predict response to a variety of treatments.
Recent Findings: Task-based fMRI neuroprediction studies are balanced between whole brain and ROI specific analyses. The predominant tasks are emotion processing, with ROIs based upon amygdala and subgenual anterior cingulate gyrus, both within the salience and emotion network.
One known risk factor for drug use and abuse is sensitivity to rewarding effects of drugs. It is not known whether this risk factor extends to sensitivity to non-drug rewards. In this study with healthy young adults, we examined the association between sensitivity to the subjective rewarding effects of amphetamine and a neural indicator of anticipation of monetary reward.
View Article and Find Full Text PDFTrait markers, or intermediate phenotypes linking different units of analysis (self-report, performance) from the Research Domain Criteria (RDoC) matrix across populations is a necessary step in identifying at-risk individuals. In the current study, 150 healthy controls (HC) and 456 individuals with bipolar disorder (BD) Type I or II, NOS (not otherwise specified) or Schizoaffective BD completed self-report neuropsychological tests of inhibitory control (IC) and executive functioning. Bifactor analyses were used to examine the factor structure of these measures and to evaluate for invariance across groups.
View Article and Find Full Text PDFBackground: Currently, we do not have biomarkers to help identify individuals at-risk for chronic, problematic alcohol use, especially among veteran populations, who have notoriously high rates of alcohol use. One biomarker that may predict individuals at risk for chronic, problematic alcohol use is error-related brain activity. We examined longitudinal associations between the error-related negativity (ERN), an event-related potential observed following the commission of errors, and problematic alcohol use among U.
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