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Yates JR. Aberrant glutamatergic systems underlying impulsive behaviors: Insights from clinical and preclinical research. Prog Neuropsychopharmacol Biol Psychiatry 2024; 135:111107. [PMID: 39098647 PMCID: PMC11409449 DOI: 10.1016/j.pnpbp.2024.111107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 07/07/2024] [Accepted: 07/24/2024] [Indexed: 08/06/2024]
Abstract
Impulsivity is a broad construct that often refers to one of several distinct behaviors and can be measured with self-report questionnaires and behavioral paradigms. Several psychiatric conditions are characterized by one or more forms of impulsive behavior, most notably the impulsive/hyperactive subtype of attention-deficit/hyperactivity disorder (ADHD), mood disorders, and substance use disorders. Monoaminergic neurotransmitters are known to mediate impulsive behaviors and are implicated in various psychiatric conditions. However, growing evidence suggests that glutamate, the major excitatory neurotransmitter of the mammalian brain, regulates important functions that become dysregulated in conditions like ADHD. The purpose of the current review is to discuss clinical and preclinical evidence linking glutamate to separate aspects of impulsivity, specifically motor impulsivity, impulsive choice, and affective impulsivity. Hyperactive glutamatergic activity in the corticostriatal and the cerebro-cerebellar pathways are major determinants of motor impulsivity. Conversely, hypoactive glutamatergic activity in frontal cortical areas and hippocampus and hyperactive glutamatergic activity in anterior cingulate cortex and nucleus accumbens mediate impulsive choice. Affective impulsivity is controlled by similar glutamatergic dysfunction observed for motor impulsivity, except a hyperactive limbic system is also involved. Loss of glutamate homeostasis in prefrontal and nucleus accumbens may contribute to motor impulsivity/affective impulsivity and impulsive choice, respectively. These results are important as they can lead to novel treatments for those with a condition characterized by increased impulsivity that are resistant to conventional treatments.
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Affiliation(s)
- Justin R Yates
- Department of Psychological Science, Northern Kentucky University, 1 Nunn Drive, Highland Heights, KY 41099, USA.
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Chen C, Zhang S, Hong H, Qiu S, Zhou Y, Zhao M, Pan M, Si F, Dong M, Li H, Wang Y, Liu L, Sonuga-Barke EJS, Qian Q. Psychometric properties of the Chinese version of the Quick Delay Questionnaire (C-QDQ) and ecological characteristics of reward-delay impulsivity of adults with ADHD. BMC Psychiatry 2024; 24:251. [PMID: 38566048 PMCID: PMC10988885 DOI: 10.1186/s12888-024-05706-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/21/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND The Quick Delay Questionnaire (QDQ) is a short questionnaire designed to assess delay-related difficulties in adults. This study aimed to examine the reliability and validity of the Chinese version of the QDQ (C-QDQ) in Chinese adults, and explore the ecological characteristics of delay-related impulsivity in Chinese adults with attention-deficit/hyperactivity disorder (ADHD). METHODS Data was collected from 302 adults, including ADHD (n = 209) and healthy controls (HCs) (n = 93). All participants completed the C-QDQ. The convergent validity, internal consistency, retest reliability and confirmatory factor analysis (CFA) of the C-QDQ were analyzed. The correlations between C-QDQ and two laboratory measures of delay-related difficulties and Barratt Impulsiveness Scale-11 (BIS-11), the comparison of C-QDQ scores between ADHD subgroups and HCs were also analyzed. RESULTS The Cronbach's α of C-QDQ was between 0.83 and 0.89. The intraclass correlation coefficient of C-QDQ was between 0.80 and 0.83. The results of CFA of C-QDQ favoured the original two-factor model (delay aversion and delay discounting). Significant positive associations were found between C-QDQ scores and BIS-11 total score and performance on the laboratory measure of delay-related difficulties. Participants with ADHD had higher C-QDQ scores than HCs, and female ADHD reported higher scores on delay discounting subscale than male. ADHD-combined type (ADHD-C) reported higher scores on delay aversion subscale than ADHD-inattention type (ADHD-I). CONCLUSION The C-QDQ is a valid and reliable tool to measure delay-related responses that appears to have clinical utility. It can present the delay-related impulsivity of patients with ADHD. Compared to HCs, the level of reward-delay impulsivity was higher in ADHD.
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Affiliation(s)
- Caili Chen
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Shiyu Zhang
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Haiheng Hong
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Sunwei Qiu
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Yi Zhou
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Mengjie Zhao
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Meirong Pan
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Feifei Si
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Min Dong
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Haimei Li
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Yufeng Wang
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China
| | - Lu Liu
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
| | | | - Qiujin Qian
- Peking University Sixth Hospital/Institute of Mental Health, 100191, Beijing, China.
- NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), 100191, Beijing, China.
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Wang L, Dai C, Gao M, Geng Z, Hu P, Wu X, Wang K. Patients with episodic migraine without aura have an increased rate of delayed discounting. Brain Behav 2024; 14:e3367. [PMID: 38376010 PMCID: PMC10761331 DOI: 10.1002/brb3.3367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVE This study aimed to explore decision-making impulsivity and its neural mechanisms in patients with episodic migraine without aura (EMoA). BACKGROUND Previous evidence indicates increased impulsivity and altered reward processing in patients with chronic migraine and medication overuse; however, whether the same holds true for those with EMoA is unclear. METHODS Patients newly diagnosed with EMoA (n = 51) and healthy controls (HC, n = 45) were recruited. All participants completed delay discounting task, cognitive assessments, a questionnaire for headache profile, and resting-state function magnetic resonance imaging scans. Resting-state functional connectivity (RSFC) between the regions of interest and the entire brain was explored. RESULTS Patients with EMoA showed a steeper subjective discount rate than HCs (F = 4.74, p = .032), which was positively related to a history of migraines (r = .742, p < .001). RSFC among the ventral striatum (vSTR), ventromedial prefrontal cortex, and occipital cortex was lower in patients with EMoA than in control groups, which was correlated with history (r' = .294, p = .036) and subjective discount rate (r' = .380, p = .006). Additionally, discounting rates and RSFC between the vSTR and occipital regions were significantly abnormal in the triptan group than the non-triptan group. Mediating effect analysis indicated a significant mediating effect in the change in RSFC between the vSTR and occipital status, history of triptan use, and subjective discount rate. CONCLUSION This study further elucidated that an increase in delayed discounting rate exists in patients with EMoA and is related to the abnormality of the value processing network.
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Affiliation(s)
- Lu Wang
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Chenyang Dai
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Manman Gao
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
| | - Zhi Geng
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
| | - Panpan Hu
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Xingqi Wu
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
| | - Kai Wang
- Department of NeurologyThe First Affiliated Hospital of Anhui Medical UniversityHefeiChina
- School of Mental Health and Psychological SciencesAnhui Medical UniversityHefeiChina
- Institute of Artificial IntelligenceHefei Comprehensive National Science CenterHefeiChina
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric DisordersHefeiChina
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental HealthHefeiChina
- Anhui Provincial Institute of Translational MedicineAnhui Medical UniversityHefeiChina
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Li S, Lu C, Kang L, Li Q, Chen H, Zhang H, Tang Z, Lin Y, Bai M, Xiong P. Study on correlations of BDNF, PI3K, AKT and CREB levels with depressive emotion and impulsive behaviors in drug-naïve patients with first-episode schizophrenia. BMC Psychiatry 2023; 23:225. [PMID: 37013544 PMCID: PMC10071748 DOI: 10.1186/s12888-023-04718-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 03/25/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND The pathogenesis of schizophrenia is still unknown. Nearly a half of schizophrenic patients have depressive symptoms and even some impulsive behaviors. The definite diagnosis of schizophrenia is an immense challenge. Molecular biology plays an essential role in the research on the pathogenesis of schizophrenia. OBJECTIVE This study aims to analyze the correlations of serum protein factor levels with depressive emotion and impulsive behaviors in drug-naïve patients with first-episode schizophrenia. METHODS Seventy drug-naïve patients with first-episode schizophrenia and sixty-nine healthy volunteers from the health check center in the same period participated in this study. In both the patient group and control group, brain-derived neurotrophic factor (BDNF), phosphatidylin-ositol-3-kinase (PI3K), protein kinase B (AKT), and cAMP-response element binding protein (CREB) levels in the peripheral blood were tested by enzyme-linked immunosorbent assay (ELISA). The depressive emotion and impulsive behaviors were evaluated with Chinese versions of the Calgary Depression Scale for Schizophrenia (CDSS) and Short UPPS-P Impulsive Behavior Scale (S-UPPS-P), respectively. RESULTS The serum levels of BDNF, PI3K, and CREB in the patient group were lower than those in the control group, while AKT level, total CDSS score and total S-UPPS-P score were all higher. In the patient group, total CDSS score, and total S-UPPS-P score were both correlated negatively with BDNF, PI3K, and CREB levels but positively with AKT level, and the lack-of-premeditation (PR) sub-scale score was not significantly correlated with BDNF, PI3K, AKT, and CREB levels. CONCLUSION Our study results showed that the peripheral blood levels of BDNF, PI3K, AKT, and CREB in drug-naïve patients with first-episode schizophrenia were significantly different from those in the control group. The levels of these serum protein factors are promising biomarkers to predict schizophrenic depression and impulsive behaviors.
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Affiliation(s)
- Shan Li
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Cailian Lu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Lin Kang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qianqian Li
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Hongxu Chen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Han Zhang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ziling Tang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yanwen Lin
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Meiyan Bai
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Peng Xiong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China.
- Yunnan Clinical Research Center for Mental Disorders, First Affiliated Hospital of Kunming Medical University, Kunming, China.
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Speers LJ, Bilkey DK. Maladaptive explore/exploit trade-offs in schizophrenia. Trends Neurosci 2023; 46:341-354. [PMID: 36878821 DOI: 10.1016/j.tins.2023.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 01/30/2023] [Accepted: 02/08/2023] [Indexed: 03/07/2023]
Abstract
Schizophrenia is a complex disorder that remains poorly understood, particularly at the systems level. In this opinion article we argue that the explore/exploit trade-off concept provides a holistic and ecologically valid framework to resolve some of the apparent paradoxes that have emerged within schizophrenia research. We review recent evidence suggesting that fundamental explore/exploit behaviors may be maladaptive in schizophrenia during physical, visual, and cognitive foraging. We also describe how theories from the broader optimal foraging literature, such as the marginal value theorem (MVT), could provide valuable insight into how aberrant processing of reward, context, and cost/effort evaluations interact to produce maladaptive responses.
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Affiliation(s)
- Lucinda J Speers
- Department of Psychology, University of Otago, Dunedin 9016, New Zealand
| | - David K Bilkey
- Department of Psychology, University of Otago, Dunedin 9016, New Zealand.
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Liebenow B, Jones R, DiMarco E, Trattner JD, Humphries J, Sands LP, Spry KP, Johnson CK, Farkas EB, Jiang A, Kishida KT. Computational reinforcement learning, reward (and punishment), and dopamine in psychiatric disorders. Front Psychiatry 2022; 13:886297. [PMID: 36339844 PMCID: PMC9630918 DOI: 10.3389/fpsyt.2022.886297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 09/23/2022] [Indexed: 11/13/2022] Open
Abstract
In the DSM-5, psychiatric diagnoses are made based on self-reported symptoms and clinician-identified signs. Though helpful in choosing potential interventions based on the available regimens, this conceptualization of psychiatric diseases can limit basic science investigation into their underlying causes. The reward prediction error (RPE) hypothesis of dopamine neuron function posits that phasic dopamine signals encode the difference between the rewards a person expects and experiences. The computational framework from which this hypothesis was derived, temporal difference reinforcement learning (TDRL), is largely focused on reward processing rather than punishment learning. Many psychiatric disorders are characterized by aberrant behaviors, expectations, reward processing, and hypothesized dopaminergic signaling, but also characterized by suffering and the inability to change one's behavior despite negative consequences. In this review, we provide an overview of the RPE theory of phasic dopamine neuron activity and review the gains that have been made through the use of computational reinforcement learning theory as a framework for understanding changes in reward processing. The relative dearth of explicit accounts of punishment learning in computational reinforcement learning theory and its application in neuroscience is highlighted as a significant gap in current computational psychiatric research. Four disorders comprise the main focus of this review: two disorders of traditionally hypothesized hyperdopaminergic function, addiction and schizophrenia, followed by two disorders of traditionally hypothesized hypodopaminergic function, depression and post-traumatic stress disorder (PTSD). Insights gained from a reward processing based reinforcement learning framework about underlying dopaminergic mechanisms and the role of punishment learning (when available) are explored in each disorder. Concluding remarks focus on the future directions required to characterize neuropsychiatric disorders with a hypothesized cause of underlying dopaminergic transmission.
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Affiliation(s)
- Brittany Liebenow
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Rachel Jones
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Emily DiMarco
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Jonathan D. Trattner
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Joseph Humphries
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - L. Paul Sands
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Kasey P. Spry
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Christina K. Johnson
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Evelyn B. Farkas
- Georgia State University Undergraduate Neuroscience Institute, Atlanta, GA, United States
| | - Angela Jiang
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
| | - Kenneth T. Kishida
- Neuroscience Graduate Program, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, NC, United States
- Department of Biomedical Engineering, Wake Forest University School of Medicine, Winston-Salem, NC, United States
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Gold AK, Otto MW. Impaired risk avoidance in bipolar disorder and substance use disorders. J Psychiatr Res 2022; 152:335-342. [PMID: 35785576 PMCID: PMC9308707 DOI: 10.1016/j.jpsychires.2022.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 05/12/2022] [Accepted: 05/19/2022] [Indexed: 12/01/2022]
Abstract
Comorbid substance use disorders are highly prevalent in bipolar disorder, and research suggests that individuals with the comorbid presentation typically have worse outcomes than individuals with bipolar disorder without this comorbidity. However, psychosocial treatments for the comorbid presentation have not demonstrated effectiveness for both mood and substance use symptom domains, suggesting novel treatments are needed. An alternative path to treatment development is to identify mechanisms that underlie comorbid bipolar disorder and substance use disorders that can subsequently be targeted in treatment. We evaluated neurocognitive markers for impairments in risk avoidance (the tendency to engage in a persistent pattern of problematic behaviors despite negative outcomes resulting from such behaviors) as potential mechanistic variables underlying negative illness outcomes in the comorbid population. Participants with bipolar disorder (n = 45) or comorbid bipolar disorder and substance use disorders (n = 31) in a relatively euthymic mood state completed clinical risk behavior assessments, task-based risk avoidance assessments, and neurocognitive assessments. Results indicated a lack of notable between-group differences in the clinical risk composite score, task-based risk avoidance assessments, and neurocognitive assessments, with the exception of self-reported executive dysfunction which was elevated among the comorbid sample. Collapsing across group, we found that increased discounting of delayed rewards, older age, and an earlier age of (hypo)mania onset predicted an increased clinical risk composite score. These findings underscore the potential importance of delay discounting as a novel mechanistic target for reducing clinical risk behaviors among individuals with bipolar disorder both with and without comorbid substance use disorders.
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Affiliation(s)
- Alexandra K. Gold
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Michael W. Otto
- Department of Psychological and Brain Sciences, Boston University, Boston, MA, USA
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Repetitive Transcranial Magnetic Stimulation: A Potential Treatment for Obesity in Patients with Schizophrenia. Behav Sci (Basel) 2021; 11:bs11060086. [PMID: 34208079 PMCID: PMC8230713 DOI: 10.3390/bs11060086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 05/28/2021] [Accepted: 06/09/2021] [Indexed: 11/21/2022] Open
Abstract
Obesity is highly prevalent in patients with schizophrenia and, in association with metabolic syndrome, contributes to premature deaths of patients due to cardiovascular disease complications. Moreover, pharmacologic, and behavioral interventions have not stemmed the tide of obesity in schizophrenia. Therefore, novel effective interventions are urgently needed. Repetitive transcranial magnetic stimulation (rTMS) has shown efficacy for inducing weight loss in obese non-psychiatric samples but this promising intervention has not been evaluated as a weight loss intervention in patients with schizophrenia. In this narrative review, we describe three brain mechanisms (hypothalamic inflammation, dysregulated mesocorticolimbic reward system, and impaired prefrontal cortex function) implicated in the pathogenesis and pathophysiology of obesity and emphasize how the three mechanisms have also been implicated in the neurobiology of schizophrenia. We then argue that, based on the three overlapping brain mechanisms in obesity and schizophrenia, rTMS would be effective as a weight loss intervention in patients with schizophrenia and comorbid obesity. We end this review by describing how deep TMS, relative to conventional TMS, could potentially result in larger effect size for weight loss. While this review is mainly conceptual and based on an extrapolation of findings from non-schizophrenia samples, our aim is to stimulate research in the use of rTMS for weight loss in patients with schizophrenia.
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Granero R, Fernández-Aranda F, Pino-Gutierrez AD, Etxandi M, Baenas I, Gómez-Peña M, Moragas L, Valenciano-Mendoza E, Mora-Maltas B, Valero-Solís S, Codina E, Guillén-Guzmán E, Lara-Huallipe M, Caravaca E, Mestre-Bach G, Menchón JM, Jiménez-Murcia S. The prevalence and features of schizophrenia among individuals with gambling disorder. J Psychiatr Res 2021; 136:374-383. [PMID: 33639330 DOI: 10.1016/j.jpsychires.2021.02.025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 01/29/2021] [Accepted: 02/08/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND-OBJECTIVES Few studies have analyzed the comorbid presence of gambling disorder (GD) with schizophrenia, its sociodemographic correlates and clinical implications. This study estimated the prevalence of the dual diagnosis (GD with schizophrenia) and the differences in the profiles of patients with and without the dual condition. METHOD The sample included n = 3,754 patients consecutively accepted for treatment for GD. Sociodemographics, gambling-related variables, psychopathological state and personality traits were assessed and compared between the groups. RESULTS The prevalence of schizophrenia within patients who met clinical criteria for GD was 4.4% (95% confidence interval: 3.8%-5.1%). Variables related to the dual presence of GD with schizophrenia were single marital status, lower education level, inactive working status, socioeconomic disadvantage, younger age, earlier onset of gambling problems, worse global psychopathological state and more dysfunctional personality profile (higher level in harm avoidance and lower level in cooperativeness, reward dependence, persistence and self-directedness). CONCLUSION The presence of schizophrenia among patients with GD was around 4 times higher than the prevalence rate estimated in the reference general population. The differences in the profiles of GD patients with and without schizophrenia suggest that individuals with the dual diagnosis condition require unique assessment considerations and tailored treatment interventions specifically designed for the clinical and functioning higher risk.
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Affiliation(s)
- Roser Granero
- Department of Psychobiology and Methodology, Universitat Autònoma de Barcelona - UAB, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain.
| | - Fernando Fernández-Aranda
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain.
| | - Amparo Del Pino-Gutierrez
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Department of Public Health, Mental Health and Mother-Infant Nursing, School of Nursing, University of Barcelona, Barcelona, Spain.
| | - Mikel Etxandi
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Isabel Baenas
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Mónica Gómez-Peña
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Laura Moragas
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | | | - Bernat Mora-Maltas
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Susana Valero-Solís
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Ester Codina
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Elías Guillén-Guzmán
- Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clínic Universitari, Barcelona, Spain.
| | - Milagros Lara-Huallipe
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Elena Caravaca
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain.
| | - Gemma Mestre-Bach
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain; Universidad Internacional de La Rioja, Logroño, La Rioja, Spain.
| | - José M Menchón
- Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain; CIBER Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain.
| | - Susana Jiménez-Murcia
- Ciber Fisiopatología Obesidad y Nutrición (CIBERobn), Instituto Salud Carlos III, Madrid, Spain; Department of Psychiatry, Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge - IDIBELL, L'Hospitalet de Llobregat, Spain; Department of Clinical Sciences, School of Medicine, Universitat de Barcelona - UB, L'Hospitalet de Llobregat, Spain.
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10
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DeVylder JE. Letter to the editor re: "Delay discounting abnormalities are seen in first-episode schizophrenia but not in bipolar disorder" by Wang et al. Schizophr Res 2020; 222:537. [PMID: 32499164 DOI: 10.1016/j.schres.2020.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/06/2020] [Accepted: 04/06/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Jordan E DeVylder
- Graduate School of Social Service, Fordham University, United States of America.
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Barry AB, Koeppel JA, Ho BC. Impulsive decision making, brain cortical thickness and familial schizophrenia risk. Schizophr Res 2020; 220:54-60. [PMID: 32305169 DOI: 10.1016/j.schres.2020.03.072] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 03/14/2020] [Accepted: 03/31/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND Schizophrenia (SZ) patients and their biological relatives are more impulsive than controls. Although greater impulsivity in SZ has been associated with dysfunction in prefrontal neural circuits implicated in reward processing, little is known regarding brain structural correlates of heightened impulsivity in unaffected adolescent relatives of SZ patients. METHODS Impulsive decision-making was assessed using the delay discounting task in 174 adolescents: 36 first-degree relatives (FDR) and 50 second-degree relatives (SDR) of SZ patients, and 88 healthy controls with no SZ family history (NSFH). We contrasted MRI brain gray matter cortical thickness-discounting constant (k) relationships between these 3 comparison groups using well-validated statistical approaches. RESULTS FDR had a distinct pattern in cortical thickness-k associations when compared to NSFH and SDR. Preference for immediate rewards (i.e. greater impulsivity) among FDR correlated with less cortical thickness within diffuse brain regions, including dorsolateral prefrontal (cognitive control network and motor/premotor cortex) and lateral temporal (auditory and visual association cortex) brain areas. CONCLUSIONS Adolescent impulsive decision-making may serve as an informative phenotype of underlying brain circuitry dysfunction associated with SZ risk. Future research focusing on impulsivity in SZ will likely help advance understanding how dysfunctional interactions between cognitive and reward neural circuits contribute to the neurobiological basis of SZ.
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Affiliation(s)
- Amy B Barry
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Julie A Koeppel
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA.
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