Relationship between personal recovery, autobiographical memory, and clinical recovery in people with mental illness in the acute phase.

Aim: Narratives are important in psychiatric rehabilitation. People with a psychiatric diagnosis find it difficult to recall specific autobiographical memories of events that lasted less than a day. Although personal narratives play a central role in personal recovery, the factors influencing personal and clinical recovery, such as psychiatric symptoms and cognitive function, have not been fully explored. Therefore, this study examined the associations between personal recovery and autobiographical memory, age, psychiatric symptoms, and neurocognitive function. Method: The Self-Identified Stage of Recovery, Parts A and B (SISR-A, SISR-B), Autobiographical Memory Test (AMT), Japanese version of the Brief Assessment Scale of Schizophrenia Cognitive Function, and Brief Psychiatric Symptom Rating Scale were administered to 40 individuals with psychiatric disorders who were undergoing psychiatric rehabilitation. Results: A significant positive correlation was found between the total number of specific memories in the AMT and total SISR-B scores. A binary logistic regression analysis revealed that the total number of specific memories, especially high responsiveness to negative cue words, significantly predicted greater personal recovery. Age, psychiatric symptoms, and neurocognitive function did not significantly predict higher personal recovery. Conclusion: In psychiatric rehabilitation, negative episodes should be treated with caution; however, they may also facilitate personal recovery.

The Paradoxical Clinical Course of Persons with Gambling Disorder and Comorbid Attention-Deficit/Hyperactivity Disorder (ADHD).

The co-occurrence of gambling disorder (GD) and attention-deficit/hyperactivity disorder (ADHD) has been widely reported. In this study, we aimed to investigate the social background, clinical characteristics, and clinical course of initial-visit GD patients with and without ADHD in a Japanese psychiatric hospital. We recruited 40 initial-visit GD patients and collected comprehensive information by self-report questionnaires, direct interviews, and medical records. 27.5% of the GD patients had comorbid ADHD. Compared to the GD patients without ADHD, those with ADHD had significantly higher comorbidity rates of autism spectrum disorder (ASD), lower rates of marriage, slightly less years of education and marginally lower employment rates. On the other hand, the GD patients with ADHD showed higher treatment retention rates and participation rates in the mutual support group. Despite presenting with disadvantageous characteristics, GD patients with ADHD exhibited a more favourable clinical course. Therefore, clinicians should be mindful of the possibility of ADHD comorbidity and the potential for better clinical outcomes among GD patients with ADHD.

Sensory processing, autonomic nervous function, and social participation in people with mental illnesses.

Introduction: This study investigated the relationship between sensory processing, respiratory sinus arrhythmia, and social participation in people with psychiatric disorders. Method: This study recruited 30 participants, primarily women, from a psychiatric university hospital with a mental health diagnosis listed in the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (mean age: 37.7 ± 16.0 years). Sensory processing, autonomic nervous function, and social participation were measured using the Adolescent/Adult Sensory Profile®, respiratory sinus arrhythmia, and World Health Organization Disability Assessment Schedule, respectively. Through mediation analysis, a model wherein sensory processing mediated the relationship between respiratory sinus arrhythmia and social participation was developed. Results: Social participation was moderately to highly correlated with Adolescent/Adult Sensory Profile® quadrants (excluding sensory seeking) and respiratory sinus arrhythmia. Furthermore, the mediation analysis revealed that sensory avoiding mediated the relationship between respiratory sinus arrhythmia and social participation, consequently counteracting the direct relationship. Conclusion: A mediation model was constructed, which indicated that individuals with psychiatric disorders and low parasympathetic nervous system activity expressed higher sensory processing quadrant of sensory avoiding. Ultimately, this was associated with reduced social participation.

Altered Resting-State Network in Adolescents with Problematic Internet Use.

Problematic internet use (PIU) is increasingly recognized as a mental health concern, particularly among adolescents. The resting-state functional connectivity (rsFC) of the triple-network model has been described inconsistently in PIU. Using resting-state fMRI (rsFMRI) and hypothesizing a lower rsFC between default mode (DMN) and central executive networks (CEN) but a higher rsFC within the salience network (SN), this study scrutinized the neural substrates of PIU adolescents. A total of 30 adolescents with PIU and 30 control subjects underwent rsFMRI. The severity of PIU was evaluated by the Internet Addiction Test. Additionally, personality traits as well as emotional and behavioral problems were evaluated by the Temperament and Character Inventory (TCI) and the Strength and Difficulties Questionnaire (SDQ), respectively. Focusing on the DMN, SN, and CEN, we compared rsFC values between PIU and the control. Subsequently, within the combined group of subjects, TCI and SDQ correlation and mediation effects were investigated. Higher rsFC values of the left lateral prefrontal cortex (LPFC(L)) with the left anterior insula (aIns(L)) were observed for PIU than for the control, while rsFCs of the LPFC(L) with the medial PFC (MPFC), LPFC(L), as well as with the right lateral parietal cortex (LP(R)) were lower for PIU. Among these significant group differences, the rsFC between the LPFC(L) and MPFC was mediated by emotional symptoms (standardized ß = -0.12, 95% CI -0.29, -0.0052). The dysfunctional attention switching and incentive salience regulated by the SN were implicated as being a neural correlate of PIU, and this relationship would in part be explained by the emotional dysregulation associated with PIU in adolescents.

Development of a classifier for gambling disorder based on functional connections between brain regions.

AIM: Recently, a machine-learning (ML) technique has been used to create generalizable classifiers for psychiatric disorders based on information of functional connections (FCs) between brain regions at resting state. These classifiers predict diagnostic labels by a weighted linear sum (WLS) of the correlation values of a small number of selected FCs. We aimed to develop a generalizable classifier for gambling disorder (GD) from the information of FCs using the ML technique and examine relationships between WLS and clinical data. METHODS: As a training dataset for ML, data from 71 GD patients and 90 healthy controls (HCs) were obtained from two magnetic resonance imaging sites. We used an ML algorithm consisting of a cascade of an L1-regularized sparse canonical correlation analysis and a sparse logistic regression to create the classifier. The generalizability of the classifier was verified using an external dataset. This external dataset consisted of six GD patients and 14 HCs, and was collected at a different site from the sites of the training dataset. Correlations between WLS and South Oaks Gambling Screen (SOGS) and duration of illness were examined. RESULTS: The classifier distinguished between the GD patients and HCs with high accuracy in leave-one-out cross-validation (area under curve (AUC = 0.89)). This performance was confirmed in the external dataset (AUC = 0.81). There was no correlation between WLS, and SOGS and duration of illness in the GD patients. CONCLUSION: We developed a generalizable classifier for GD based on information of functional connections between brain regions at resting state.

Life Habits and Mental Health: Behavioural Addiction, Health Benefits of Daily Habits, and the Reward System.

In this review, the underlying mechanisms of health benefits and the risk of habitual behaviours such as internet use and media multitasking were explored, considering their associations with the reward/motivation system. The review highlights that several routines that are beneficial when undertaken normally may evolve into excessive behaviour and have a negative impact, as represented by "the inverted U-curve model". This is especially critical in the current era, where technology like the internet has become mainstream despite the enormous addictive risk. The understanding of underlying mechanisms of behavioural addiction and optimal level of habitual behaviours for mental health benefits are deepened by shedding light on some findings of neuroimaging studies to have hints to facilitate better management and prevention strategies of addictive problems. With the evolution of the world, and the inevitable use of some technologies that carry the risk of addiction, more effective strategies for preventing and managing addiction are in more demand than before, and the insights of this study are also valuable foundations for future research.

Framing effects on financial and health problems in gambling disorder.

Gambling disorder (GD) patients show excessively risky decision-making in the financial domain. We aimed to clarify whether GD patients show risky decision-making in domain-general or in domain-specific. Furthermore, we also investigated the effect of the well-known cognitive bias, the framing effect on GD's decision-making under risk. Sixty-two male GD patients and 74 age-matched healthy male controls (HC) conducted a risky choice task in which they should choose solutions for difficult situations between a sure and a risky option that had the same expectations. Six situations were prepared for each financial and health domain. For each domain, three situations were presented with options using positive frames, and the other three situations were presented with options using negative frames. The results showed that GD chose more risky options in the financial domain with positive frames than HC, but chose comparably in the financial domain with negative frames, whereas GD and HC chose comparably in the health domain regardless of the frames. Thus, GD showed risky decision-making in domain-specific. In addition, the results indicate the importance of considering the influence of the framing effect for assessment of risky decision-making by GD. Domains and the influence of the framing effect should be considered when decision-making patterns of neuropsychiatric disorders are studied.

A positive shift in resting-state functional connectivity between the insula and default mode network regions reflects the duration of illness in gambling disorder patients without lifetime substance abuse.

The insula is considered an important structure involved in addiction and in the context of dynamic activity switching between large-scale brain networks, such as the default mode network (DMN) and the central executive network. Although insular-DMN resting-state functional connectivity (rsFC), which could affect such switching, has been examined in substance addiction populations, the results have been inconsistent, partly because of the confounding neural effects of the abused substances. To investigate this subject, using MRI, we examined insular-DMN rsFC in gambling disorder (GD) patients without a history of substance use. We examined rsFC between insular seeds and DMN regions of interest during rest in 23 GD patients and 27 age-, sex-, handedness-, and high education rate-matched healthy control (HC) subjects. We found a positive shift in insular-DMN rsFC in GD patients compared with HC subjects. Furthermore, the connectivity strength between insular seed regions and DMN regions was positively correlated with illness duration in GD patients. This alteration might affect switching between large-scale brain networks, potentially leading to a preoccupation with gambling as well as various types of cognitive impairments. Our results could clarify the controversial findings regarding substance addiction and enhance the system-level understanding of addiction.

Amygdala volume is associated with risky probability cognition in gambling disorder.

Gambling disorder (GD) is characterized by continual gambling despite negative consequences. Risky decision-making is a hallmark of the disorder. We applied a tool from behavioral economics for assessing probability cognition in both gain and loss domains to GD. We aimed to examine the alteration of probability cognition and its relationship with brain structure in GD. Forty-six GD patients and 52 age-matched healthy controls (HCs) conducted a risky choice task in which subjects should choose between a sure and a risky option in both loss and gain domains. The distortion and elevation parameters of the probability weighting function were estimated. We compared the parameters between GD and HC and examined their relationships with the striatum and amygdala volumes in GD. GD showed greater elevation parameter in the gain domain and smaller regional gray matter volume in the left amygdala than HC. The elevation parameter in the gain domain showed a negative correlation with the left amygdala volume in GD. Altered probability cognition in the gain domain but not in the loss domain might be more relevant to risky decision-making in GD. Our findings indicate that alteration in the amygdala might play a significant role in risky decision-making of GD. Longitudinal studies are recommended to examine the causal relationship between brain abnormalities and risky decision-making in GD.

An fMRI study of decision-making under sunk costs in gambling disorder.

The sunk cost effect is the tendency to continue an investment, or take an action, even though it has higher future costs than benefits, if costs of time, money, or effort were previously incurred. This type of decision bias is pervasive in real life and has been studied in various disciplines. Previous studies and clinical observations suggest that decision-making under sunk costs is altered in gambling disorder (GD). However, the neural mechanisms of decision-making under sunk costs in GD remain largely unknown, and so is their association with the clinical characteristics of this patient group. Here, by combining functional magnetic resonance imaging and the task that demonstrated a clear example of the sunk cost effect, we investigated the neural correlates during decision-making under sunk costs in GD. We found no significant differences in the strength of the sunk cost effect between the GD and healthy control (HC) groups. However, the strength of the sunk cost effect in patients with GD showed a significant negative correlation with abstinence period and a marginally significant positive correlation with the duration of illness. We also found a reduction in the neural activation in the dorsal medial prefrontal cortex during decision-making under sunk costs for the GD group compared with the HC group. Furthermore, in patients with GD, the levels of activation in this area negatively correlated with the duration of illness. These findings have important clinical implications. This study will contribute to a better understanding of the mechanisms underlying altered decision-making abilities in GD.

Common and differential brain abnormalities in gambling disorder subtypes based on risk attitude.

Studying brain abnormalities in behavioral addiction including GD enables us to exclude possible confounding effects of exposure to neurotoxic substances, which should provide important insight that can lead to a better understanding of addiction per se. There have been a few brain structural magnetic resonance imaging studies for GD, although the results have been inconsistent. On the other hand, GD was suggested to be a heterogeneous disorder in terms of risk attitude. We aimed to examine the heterogeneity of GD by combining a behavioral economics task and voxel-based morphometry. Thirty-six male GD patients and 36 healthy male control subjects underwent a task for estimation of loss aversion, which can assess risk attitude in real-life decision-making. The GD patients were divided into two groups based on their level of loss aversion, low and high. While both groups showed common gray matter volume reduction in the left supramarginal gyrus and bilateral posterior cerebellum, high loss-aversion GD showed pronounced reduction in the left posterior cerebellum and additional reduction in the bilateral medial orbitofrontal cortex. Our study suggests that the heterogeneity of GD is underpinned at the brain structural level. This result might be useful for understanding neurobiological mechanisms and for the establishment of precise treatment strategies for GD.

Neural mechanisms and personality correlates of the sunk cost effect.

The sunk cost effect, an interesting and well-known maladaptive behavior, is pervasive in real life, and thus has been studied in various disciplines, including economics, psychology, organizational behavior, politics, and biology. However, the neural mechanisms underlying the sunk cost effect have not been clearly established, nor have their association with differences in individual susceptibility to the effect. Using functional magnetic resonance imaging, we investigated neural responses induced by sunk costs along with measures of core human personality. We found that individuals who tend to adhere to social rules and regulations (who are high in measured agreeableness and conscientiousness) are more susceptible to the sunk cost effect. Furthermore, this behavioral observation was strongly mediated by insula activity during sunk cost decision-making. Tight coupling between the insula and lateral prefrontal cortex was also observed during decision-making under sunk costs. Our findings reveal how individual differences can affect decision-making under sunk costs, thereby contributing to a better understanding of the psychological and neural mechanisms of the sunk cost effect.

Ambiguity aversion in schizophrenia: An fMRI study of decision-making under risk and ambiguity.

When making decisions in everyday life, we often have to choose between uncertain outcomes. Economic studies have demonstrated that healthy people tend to prefer options with known probabilities (risk) than those with unknown probabilities (ambiguity), which is referred to as "ambiguity aversion." However, it remains unclear how patients with schizophrenia behave under ambiguity, despite growing evidence of their altered decision-making under uncertainty. In this study, combining economic tools and functional magnetic resonance imaging (fMRI), we assessed the attitudes toward risk/ambiguity and investigated the neural correlates during decision-making under risk/ambiguity in schizophrenia. Although no significant difference in attitudes under risk was observed, patients with schizophrenia chose ambiguity significantly more often than the healthy controls. Attitudes under risk and ambiguity did not correlate across patients with schizophrenia. Furthermore, unlike in the healthy controls, activation of the left lateral orbitofrontal cortex was not increased during decision-making under ambiguity compared to under risk in schizophrenia. These results suggest that ambiguity aversion, a well-established subjective bias, is attenuated in patients with schizophrenia, highlighting the need to distinguish between risk and ambiguity when assessing decision-making under these situations. Our findings, comprising important clinical implications, contribute to improved understanding of the mechanisms underlying altered decision-making in patients with schizophrenia.

Heterogeneity of Loss Aversion in Pathological Gambling.

Pathological gambling (PG) is characterized by continual repeated gambling behavior despite negative consequences. PG is considered to be a disorder of altered decision-making under risk, and behavioral economics tools were utilized by studies on decision-making under risk. At the same time, PG was suggested to be a heterogeneous disorder in terms of personality traits as well as risk attitude. We aimed to examine the heterogeneity of PG in terms of loss aversion, which means that a loss is subjectively felt to be larger than the same amount of gain. Thirty-one male PG subjects and 26 male healthy control (HC) subjects underwent a behavioral economics task for estimation of loss aversion and personality traits assessment. Although loss aversion in PG subjects was not significantly different from that in HC subjects, distributions of loss aversion differed between PG and HC subjects. HC subjects were uniformly classified into three levels (low, middle, high) of loss aversion, whereas PG subjects were mostly classified into the two extremes, and few PG subjects were classified into the middle range. PG subjects with low and high loss aversion showed a significant difference in anxiety, excitement-seeking and craving intensity. Our study suggested that PG was a heterogeneous disorder in terms of loss aversion. This result might be useful for understanding cognitive and neurobiological mechanisms and the establishment of treatment strategies for PG.

Insular activation during reward anticipation reflects duration of illness in abstinent pathological gamblers.

Pathological gambling (PG) is a chronic mental disorder characterized by a difficulty restraining gambling behavior despite negative consequences. Although brain abnormalities in patients with substance use disorders are caused by repetitive drug use and recover partly with drug abstinence, the relationship between brain activity and duration of illness or abstinence of gambling behavior in PG patients remains unclear. Here, using functional magnetic resonance imaging, we compared the brain activity of 23 PG patients recruited from a treatment facility with 27 demographically-matched healthy control subjects during reward anticipation, and examined the correlations between brain activity and duration of illness or abstinence in PG patients. During reward anticipation, PG patients showed decreased activity compared to healthy controls in a broad range of the reward system regions, including the insula cortex. In PG patients, activation in the left insula showed a significant negative correlation with illness duration. Our findings suggest that insular activation during reward anticipation may serve as a marker of progression of pathological gambling.

[Gambling brain].

Pathological gambling (PG) is a chronic mental disorder, and patients cannot stop gambling despite severe negative consequences, such as huge debts, job loss, family break-up, and so on. It is said that PG is more prevalent in Japan than in Western countries. However, PG has not received much attention and has even been thought of as a lack of will to stop gambling rather than a mental disorder. PG has been classified under "Impulse-Control Disorders Not Elsewhere Classified," along with compulsive stealing (kleptomania), starting fires (pyromania) and hair-pulling (trichotillomania), but accumulative evidence suggests that PG has many similarities with substance use disorders. Therefore, PG is being proposed to be classified under "Addiction and Related Disorders" in the DSM-5 draft. In this article, we review neuroimaging studies on PG on the basis of 4 dimensions - sensitivity to monetary reward and loss, craving and cue reactivity, impulsivity, and decision-making. In general, PG patients show reduced sensitivity to both monetary reward and loss, increased gamble-related cue reactivity, and increased impulsivity. In contrast, decision-making contains many elements, and hence, future neuroimaging studies on PG should focus on these individual elements. Some efforts have been made to combine molecular neuroimaging (positron emission tomography) with neuroeconomics to investigate the roles of neurotransmitters in altered decision-making in neuropsychiatric disorders. Understanding the molecular mechanism of extreme or impaired decision-making could contribute to the assessment and prevention of drug and gambling addictions and to the development of novel pharmacological therapies for these addictions.