Cortical thinning in relation to impaired insight into illness in patients with treatment resistant schizophrenia.

Impaired insight into illness is a common element of schizophrenia that contributes to treatment nonadherence and negative clinical outcomes. Previous studies suggest that impaired insight may arise from brain abnormalities. However, interpretations of these findings are limited due to small sample sizes and inclusion of patients with a narrow range of illness severity and insight deficits. In a large sample of patients with schizophrenia, the majority of which were designated as treatment-resistant, we investigated the associations between impaired insight and cortical thickness and subcortical volumes. A total of 94 adult participants with a schizophrenia spectrum disorder were included. Fifty-six patients (60%) had treatment-resistant schizophrenia. The core domains of insight were assessed with the VAGUS insight into psychosis scale. We obtained 3T MRI T1-weighted images, which were analysed using CIVET and MAGeT-Brain. Whole-brain vertex-wise analyses revealed impaired insight, as measured by VAGUS average scores, was related to cortical thinning in left frontotemporoparietal regions. The same analysis in treatment-resistant patients showed thinning in the same regions, even after controlling for age, sex, illness severity, and chlorpromazine antipsychotic dose equivalents. No association was found in non-treatment-resistant patients. Region-of-interest analyses revealed impaired general illness awareness was associated with cortical thinning in the left supramarginal gyrus when controlling for covariates. Reduced right and left thalamic volumes were associated with VAGUS symptom attribution and awareness of negative consequences subscale scores, respectively, but not after correction for multiple testing. Our results suggest impaired insight into illness is related to cortical thinning in left frontotemporoparietal regions in patients with schizophrenia, particularly those with treatment resistance where insight deficits may be more chronic.

Decreased cortical gyrification and surface area in the left medial parietal cortex in patients with treatment-resistant and ultratreatment-resistant schizophrenia.

AIM: Validating the vulnerabilities and pathologies underlying treatment-resistant schizophrenia (TRS) is an important challenge in optimizing treatment. Gyrification and surface area (SA), reflecting neurodevelopmental features, have been linked to genetic vulnerability to schizophrenia. The aim of this study was to identify gyrification and SA abnormalities specific to TRS. METHODS: We analyzed 3T magnetic resonance imaging findings of 24 healthy controls (HCs), 20 responders to first-line antipsychotics (FL-Resp), and 41 patients with TRS, including 19 clozapine responders (CLZ-Resp) and 22 FL- and clozapine-resistant patients (patients with ultratreatment-resistant schizophrenia [URS]). The local gyrification index (LGI) and associated SA were analyzed across groups. Diagnostic accuracy was verified by receiver operating characteristic curve analysis. RESULTS: Both CLZ-Resp and URS had lower LGI values than HCs (P = 0.041, Hedges g [gH ] = 0.75; P = 0.013, gH  = 0.96) and FL-Resp (P = 0.007, gH  = 1.00; P = 0.002, gH  = 1.31) in the left medial parietal cortex (Lt-MPC). In addition, both CLZ-Resp and URS had lower SA in the Lt-MPC than FL-Resp (P < 0.001, gH  = 1.22; P < 0.001, gH  = 1.75). LGI and SA were positively correlated in non-TRS (FL-Resp) (ρ = 0.64, P = 0.008) and TRS (CLZ-Resp + URS) (ρ = 0.60, P < 0.001). The areas under the receiver operating characteristic curve for non-TRS versus TRS with LGI and SA in the Lt-MPC were 0.79 and 0.85, respectively. SA in the Lt-MPC was inversely correlated with negative symptoms (ρ = -0.40, P = 0.018) and clozapine plasma levels (ρ = -0.35, P = 0.042) in TRS. CONCLUSION: LGI and SA in the Lt-MPC, a functional hub in the default-mode network, were abnormally reduced in TRS compared with non-TRS. Thus, altered LGI and SA in the Lt-MPC might be structural features associated with genetic vulnerability to TRS.

Impaired insight into illness is unrelated to subjective happiness, success, and life satisfaction in schizophrenia.

BACKGROUND: Impaired insight into illness is a common feature of schizophrenia. Improved insight is associated with better treatment adherence and clinical outcomes. At the same time, improving insight has been suggested to increase depressive symptoms and diminish quality of life. The aim of this study was to examine the associations between impaired insight and degree of subjective happiness, perceived level of success, and life satisfaction in patients with schizophrenia spectrum disorders. METHODS: A total of 108 participants with schizophrenia or schizoaffective disorder were included. Data for this study were obtained from our group's previous investigation that examined the relationship between impaired insight and visuospatial attention. Insight into illness was measured by the VAGUS scale, which assesses general illness awareness, accurate symptom attribution, awareness of the need for treatment, and awareness of the negative consequences attributable to the illness. RESULTS: Our results revealed no association among the VAGUS average and subscale scores and degree of subjective happiness, perceived level of success, and life satisfaction. CONCLUSIONS: Our study suggests that insight into illness is not related to subjective happiness, life satisfaction, or perceived level of success in patients with schizophrenia, which is in contrast to previous reports that demonstrate an association between insight into illness and depression.

Dopaminergic dysfunction and excitatory/inhibitory imbalance in treatment-resistant schizophrenia and novel neuromodulatory treatment.

Antipsychotic drugs are the mainstay in the treatment of schizophrenia. However, one-third of patients do not show adequate improvement in positive symptoms with non-clozapine antipsychotics. Additionally, approximately half of them show poor response to clozapine, electroconvulsive therapy, or other augmentation strategies. However, the development of novel treatment for these conditions is difficult due to the complex and heterogenous pathophysiology of treatment-resistant schizophrenia (TRS). Therefore, this review provides key findings, potential treatments, and a roadmap for future research in this area. First, we review the neurobiological pathophysiology of TRS, particularly the dopaminergic, glutamatergic, and GABAergic pathways. Next, the limitations of existing and promising treatments are presented. Specifically, this article focuses on the therapeutic potential of neuromodulation, including electroconvulsive therapy, repetitive transcranial magnetic stimulation, transcranial direct current stimulation, and deep brain stimulation. Finally, we propose multivariate analyses that integrate various perspectives of the pathogenesis, such as dopaminergic dysfunction and excitatory/inhibitory imbalance, thereby elucidating the heterogeneity of TRS that could not be obtained by conventional statistics. These analyses can in turn lead to a precision medicine approach with closed-loop neuromodulation targeting the detected pathophysiology of TRS.

MAP Bayesian modelling combining striatal dopamine receptor occupancy and plasma concentrations to optimize antipsychotic dose regimens in individual patients.

AIMS: Develop a robust and user-friendly software tool for the prediction of dopamine D2 receptor occupancy (RO) in patients with schizophrenia treated with either olanzapine or risperidone, in order to facilitate clinician exploration of the impact of treatment strategies on RO using sparse plasma concentration measurements. METHODS: Previously developed population pharmacokinetic models for olanzapine and risperidone were combined with a pharmacodynamic model for D2 RO and implemented in the R programming language. Maximum a posteriori Bayesian estimation was used to provide predictions of plasma concentration and RO based on sparse concentration sampling. These predictions were then compared to observed plasma concentration and RO. RESULTS: The average (standard deviation) response times of the tools, defined as the time required for the application to predict parameter values and display the output, were 2.8 (3.1) and 5.3 (4.3) seconds for olanzapine and risperidone, respectively. The mean error (95% confidence interval) and root mean squared error (95% confidence interval) of predicted vs. observed concentrations were 3.73 ng/mL (-2.42-9.87) and 10.816 ng/mL (6.71-14.93) for olanzapine, and 0.46 ng/mL (-4.56-5.47) and 6.68 ng/mL (3.57-9.78) for risperidone and its active metabolite (9-OH risperidone). Mean error and root mean squared error of RO were -1.47% (-4.65-1.69) and 5.80% (3.89-7.72) for olanzapine and -0.91% (-7.68-5.85) and 8.87% (4.56-13.17) for risperidone. CONCLUSION: Our monitoring software predicts concentration-time profiles and the corresponding D2 RO from sparsely sampled concentration measurements in an accessible and accurate form.

A measure of subjective substance use disorder awareness - Substance Use Awareness and Insight Scale (SAS).

INTRODUCTION: Impaired illness awareness or inability to recognize that one has a substance use disorder can be a barrier to treatment seeking and rehabilitation. A validated scale is needed to better understand the clinical impact of impaired substance use disorder awareness. This study aimed to examine the psychometric properties of the Substance Use Awareness and Insight Scale (SAS), a novel scale to assess impaired illness awareness in individuals with substance use disorder. METHODS: We developed the SAS, a 7-item self-report measure to assess the theoretical constructs of illness awareness in substance use disorder (www.illnessawarenessscales.com). Participants 18 years of age or older with a score of 8 or more on the Drug Use Disorders Identification Test (DUDIT) were included. Data were collected via Dynata, an online survey platform. RESULTS: A total of 299 participants were included (mean (SD) age = 47.3-years (15.4), 54% women). The SAS demonstrated good convergent (r = 0.82, p < 0.001) and discriminant validity (r = -0.23, p < 0.001) with a measure of illness recognition and positive affect, respectively. SAS also demonstrated good internal consistency (Cronbach's alpha = 0.86) and one-month test-retest reliability (intra-class correlation = 0.87). An exploratory factor analysis suggested the retention of two components. Separate analyses of the SAS in individuals with cannabis, opioid, and other substance use showed similar results. DISCUSSION: The results of this study provide initial support for the psychometric validation of the SAS in adults with substance use disorder. The SAS holds promise for use in research and clinical settings to assess the influence of impaired substance use disorder awareness on treatment outcomes.

The effects of acute dopamine depletion on resting-state functional connectivity in healthy humans.

Alpha-methyl-para-tyrosine (AMPT), a competitive inhibitor of tyrosine hydroxylase, can be used to deplete endogenous dopamine in humans. We examined how AMPT-induced dopamine depletion alters resting-state functional connectivity of the basal ganglia, and canonical resting-state networks, in healthy humans. Fourteen healthy participants (8 females; age [mean ± SD] = 27.93 ± 9.86) completed the study. Following dopamine depletion, the caudate showed reduced connectivity with the medial prefrontal cortex (mPFC) (Cohen's d = 1.89, p<.0001). Moreover, the caudate, putamen, globus pallidus, and midbrain all showed reduced connectivity with the occipital cortex (Cohen's d = 1.48-1.90; p<.0001-0.001). Notably, the dorsal caudate showed increased connectivity with the sensorimotor network (Cohen's d = 2.03, p=.002). AMPT significantly decreased self-reported motivation (t(13)=4.19, p=.001) and increased fatigue (t(13)=4.79, p=.0004). A greater increase in fatigue was associated with a greater reduction in connectivity between the substantia nigra and the mPFC (Cohen's d = 3.02, p<.00001), while decreased motivation was correlated with decreased connectivity between the VTA and left sensorimotor cortex (Cohen's d = 2.03, p=.00004). These findings help us to better understand the role of dopamine in basal ganglia function and may help us better understand neuropsychiatric diseases where abnormal dopamine levels are observed.

Neuromelanin accumulation in patients with schizophrenia: A systematic review and meta-analysis.

Although schizophrenia is associated with increased presynaptic dopamine function in the striatum, it remains unclear if neuromelanin levels, which are thought to serve as a biomarker for midbrain dopamine neuron function, are increased in patients with schizophrenia. We conducted a systematic review and meta-analysis of magnetic resonance imaging (MRI) and postmortem studies comparing neuromelanin (NM) levels between patients with schizophrenia and healthy controls (HCs). Standard mean differences were calculated to assess group differences in NM accumulation levels between patients with schizophrenia and HCs. This study included 7 articles in total. Five studies employed NM-sensitive MRI (NM-MRI) and two were postmortem brain studies. The patient group (n = 163) showed higher NM levels in the substantia nigra (SN) than HCs (n = 228) in both the analysis of the seven studies and the subgroup analysis of the 5 NM-MRI studies. This analysis suggest increased NM levels in the SN may be a potential biomarker for stratifying schizophrenia, warranting further research that accounts for the heterogeneity of this disorder.

A Measure to Assess Illness Awareness in Problem Gambling: Gambling Awareness and Insight Scale (GAS).

Impaired subjective awareness of problem gambling may act as a barrier to help-seeking and treatment adherence. However, the impact of impaired problem gambling awareness on clinical and social outcomes has received little empirical study. The aim of this study was to develop and investigate the psychometric properties of a novel scale that measures impaired illness awareness in individuals with problem gambling. We developed the Gambling Awareness and Insight Scale (GAS), a self-report measure that assesses the core theoretical constructs of illness awareness in problem gambling, namely General Disorder or Problem Awareness, Accurate Symptom Attribution, Awareness of Need for Treatment and the Negative Consequences attributable to problem gambling ( www.illnessawarenessscales.com ). Data were acquired from an online survey platform, Dynata, to evaluate the psychometric properties of the GAS. A total of 100 participants aged 18 years or older with problem gambling defined by a score of 4 or more on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Pathological Gambling Diagnostic Form were included. The GAS demonstrated good convergent (r = 0.57, p < 0.001) and discriminant validity (r = - 0.18, p = 0.080). It also demonstrated good internal consistency (Cronbach's α = 0.80) and one-month test-retest reliability (intra-class correlation = 0.86). An exploratory factor analysis suggested retention of two components. The GAS is a novel psychometric tool designed to evaluate impaired subjective illness awareness in problem gambling. Initial evidence suggests that the GAS can be used in research and clinical settings to evaluate the impact of impaired problem gambling awareness on adherence to treatment programs, clinical and psychosocial outcomes. Replication in applied settings is needed.

A Measure of Illness Awareness in Individuals With Nicotine Dependence-Nicotine Use Awareness and Insight Scale.

INTRODUCTION: Impaired illness awareness or the inability to recognize that one has a dependence on nicotine may be a major barrier to seeking cessation treatment. To better understand the role of impaired illness awareness on treatment-seeking behavior and clinical outcomes, we developed and examined the psychometric properties of a novel scale measuring illness awareness in individuals with dependence on nicotine. AIMS AND METHODS: We developed the Nicotine Use Awareness and Insight Scale (NAS), a 7-item self-report measure to assess the theoretical construct of illness awareness in individuals with dependence on nicotine (www.illnessawarenessscales.com). Data from participants 18 years of age or older were collected via a web-based survey company, Dynata. Participants with moderate dependence on nicotine were included, defined by a score of four or more on the Fagerström Test for Cigarette Dependence (FTCD) or the FTCD adapted for electronic cigarettes (eFTCD). RESULTS: A total of 100 participants (mean [SD] age = 49.1 [16.1] years, 52% women) that met the inclusion criteria for either FTCD (n = 50) or eFTCD (n = 50) were included. The NAS demonstrated good convergent (r = .74, p < .001) and discriminant validity (r = .03, p = .786). It also demonstrated good internal consistency (Cronbach's alpha = 0.78) and one-month test-retest reliability (intra-class correlation = 0.86). An exploratory factor analysis yielded the retention of two components. CONCLUSIONS: The NAS is a novel scale to asses illness awareness in individuals with dependence on nicotine. This study provides initial support for the psychometric validity and reliability of NAS. IMPLICATIONS: The NAS may be used in research and clinical practice to evaluate the impact of impaired illness awareness on treatment-seeking behavior and clinical outcomes.

Anti-vaccination attitudes are associated with less analytical and more intuitive reasoning.

Online anti-vaccination rhetoric has produced far reaching negative health consequences. Persons who endorse anti-vaccination attitudes may employ less analytical reasoning when problem solving. Considering limitations in previous research, we used an online web-based survey (n = 760; mean age = 47.69; 388 males, 372 females) to address this question. Analytical reasoning was negatively correlated with anti-vaccination attitudes (r = -.18, p < .0001). This relationship remained significant after statistically controlling for potential confounders, including age, sex, education, and religiosity (r = -.16, p < .0001). We hope that elucidating the cognitive, non-information-based aspects of anti-vaccination attitudes will help to guide effective educational interventions aimed at improving public health in the future.

Determinants of social distancing adherence.

Introduction: Governments and public health authorities across many jurisdictions implemented social (physical) distancing measures to contain the spread of the 2019 novel coronavirus disease (COVID-19). Adherence to these measures is variable and likely influenced by various factors. This study aimed to 1) identify the individual sociodemographic, COVID-19 and social distancing related, and psychological determinants of social distancing adherence, and 2) explore regional differences in social distancing adherence in the United States (U.S.) and English-speaking Canada based on each region's discrepant response to social distancing restrictions. Methods: A web-based repeated cross-sectional survey was conducted in 4,942 English-speaking participants from the four most populous U.S. states, specifically New York, California, Texas, and Florida, and Canada (www.covid19-database.com). The study was conducted at two timepoints, from May 1 to 5, 2020 (n = 1,019, Canadian participants only) and from July 6 to 10, 2020 (n = 3,923). Separate univariate models were computed for individual sociodemographic, COVID-19 and social distancing related, and psychological determinants of social distancing adherence. To determine the total variance explained, a univariate analysis including all of the determinants was performed. Regional differences in social distancing were compared between the four U.S. states and Canada, and between the U.S. as a whole and Canada. Results: Adherence to social distancing was higher in May (mean = 4.4/5.0±0.7) compared to July (mean = 4.3/5.0±0.7) [t (4940) = 6.96, p < 0.001], likely a reflection of relaxing restrictions. There were no regional differences in adherence. Sociodemographic, COVID-19 and social distancing related, and psychological determinants explained 10, 36, and 23% of the variance of social distancing adherence, respectively. Higher perceived seriousness of COVID-19 [ß (SE) = 0.39 (0.01), p < 0.001, partial η2 = 0.22], lower risk propensity [ß (SE) = -0.15 (0.01), p < 0.001, partial η2 = 0.06], germ aversion [ß (SE) = 0.12 (0.01), p < 0.001, partial η2 = 0.03], age [ß (SE) = 0.01 (0.00), p < 0.001, partial η2 = 0.02], and greater social support [ß (SE) = 0.03 (0.00), p < 0.001, partial η2 = 0.02] had the largest effects on social distancing adherence. Conclusion: Public service initiatives to emphasize the serious consequences of infection and targeted interventions toward certain sociodemographic groups, such as younger adults and vulnerable individuals in greater need of social support, may help enhance the public's adherence to social distancing measures during subsequent waves of COVID-19 and future pandemics.

Individual determinants of COVID-19 vaccine hesitancy.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) vaccine hesitancy is a barrier to achieving herd immunity, and thus, a prominent public health concern. This study aimed to identify the determinants of COVID-19 vaccine hesitancy based on the World Health Organization's '3Cs' model (i.e., confidence, complacency, and convenience) in the United States (U.S.) and Canada. METHODS: Data from 7678 adults ages 18 or older were collected from the four most populous U.S. States, specifically New York, California, Florida, and Texas, and from English-speaking Canada at three timepoints, in May and July 2020, and March 2021 using a web-based survey (www.covid19-database.com). Sociodemographic information was collected, and comprehensive psychological assessments were administered. Univariate analyses were performed to identify the individual determinants of vaccine hesitancy, which were categorized as: 1) vaccine confidence, 2) vaccine complacency, 3) sociodemographic, and 4) other psychological factors. A series of models were computed using these categorizations. RESULTS: Mistrust of vaccine benefit (ß(SE) = 0.67(0.01), p<0.001, partial η2 = 0.26) and lower perceived seriousness of COVID-19 (ß(SE) = 0.68(0.02), p<0.001, partial η2 = 0.12) were the principal determinants of vaccine hesitancy. Right-wing political affiliation (ß(SE) = 0.32(0.02), p<0.001, partial η2 = 0.03), higher risk propensity (ß(SE) = 0.24(0.02), p<0.001, partial η2 = 0.03), and less negative mental health effects of the COVID-19 pandemic (ß(SE) = 0.20(0.01), p<0.001, partial η2 = 0.03) were the main sociodemographic and psychological determinants. Other sociodemographic determinants included younger age, women, race, and employment status. Lack of vaccine confidence and complacency explained 38% and 21% of the variance in vaccine hesitancy, respectively; whereas, sociodemographic and psychological determinants explained 13% and 11% of the variance in vaccine hesitancy, respectively. DISCUSSION: Targeted and tailored public health interventions that enhance the public's confidence in vaccines and emphasize the risk and seriousness of COVID-19 may address COVID-19 vaccine hesitancy. Efforts directed toward specific marginalized and underserved groups may be required to promote vaccine confidence.

Dimensional distribution of cortical abnormality across antipsychotics treatment-resistant and responsive schizophrenia.

BACKGROUND: One-third of patients with schizophrenia are treatment-resistant to non-clozapine antipsychotics (TRS), while the rest respond (NTRS). Examining whether TRS and NTRS represent different pathophysiologies is an important step toward precision medicine. METHODS: Focusing on cortical thickness (CT), we analyzed international multi-site cross-sectional datasets of magnetic resonance imaging comprising 110 patients with schizophrenia (NTRS = 46, TRS = 64) and 52 healthy controls (HCs). We utilized a logistic regression with L1-norm regularization to find brain regions related to either NTRS or TRS. We conducted nested 10-fold cross-validation and computed the accuracy and area under the curve (AUC). Then, we applied the NTRS classifier to patients with TRS, and vice versa. RESULTS: Patients with NTRS and TRS were classified from HCs with 65% and 78% accuracies and with the AUC of 0.69 and 0.85 (p = 0.014 and < 0.001, corrected), respectively. The left planum temporale (PT) and left anterior insula/inferior frontal gyrus (IFG) contributed to both NTRS and TRS classifiers. The left supramarginal gyrus only contributed to NTRS and right superior temporal sulcus and right lateral orbitofrontal cortex only to the TRS. The NTRS classifiers successfully distinguished those with TRS from HCs with the AUC of 0.78 (p < 0.001), while the TRS classifiers classified those with NTRS from HCs with the AUC of 0.69 (p = 0.015). CONCLUSION: Both NTRS and TRS could be distinguished from HCs on the basis of CT. The CT pathological basis of NTRS and TRS has commonalities, and TRS presents unique CT features.

A measure of illness awareness in alcohol use disorder-Alcohol Use Awareness and Insight Scale (AAS).

INTRODUCTION: Impaired illness awareness in individuals with alcohol use disorder can negatively affect treatment adherence, rehabilitation, and other clinical outcomes. However, the construct of illness awareness in alcohol use disorder and its clinical implications remain to be better conceptualized and understood. The objective of this study was to develop and psychometrically test a scale designed to assess impaired illness awareness in individuals with alcohol use disorder. METHODS: We developed the Alcohol Use Awareness and Insight Scale (AAS), a self-report measure that assesses the core theoretical domains of illness awareness, including general disorder or problem awareness, accurate symptom attribution, awareness of the need for treatment, and the negative consequences of the disorder in individuals with alcohol use disorder (www.illnessawarenessscales.com). Data from 99 participants was obtained using a web-based survey platform, Dynata. RESULTS: The AAS displayed good convergent (r = 0.88, p < 0.001) and discriminant validity with measures of illness recognition and affect states, respectively. The AAS also exhibited good internal consistency (Cronbach's α = 0.89) and one-month test-retest reliability (intra-class correlation = 0.84). Exploratory factor analysis resulted in the retention of a single component. CONCLUSIONS: The AAS is a novel instrument developed to measure impaired illness awareness in individuals with alcohol use disorder. The AAS may be useful in clinical or research settings in evaluating the influence of subjective alcohol use disorder awareness on interventions to promote treatment adherence and other clinical outcomes.

Glutathione Levels and Glutathione-Glutamate Correlation in Patients With Treatment-Resistant Schizophrenia.

Treatment-resistant schizophrenia (TRS) has been suggested to involve glutamatergic dysfunction. Glutathione (GSH), a dominant antioxidant, is known to be involved in glutamatergic neurotransmission. To date, no study has examined GSH levels in patients with TRS. The aim of this study was to examine GSH levels in the dorsal anterior cingulate cortex (dACC) of patients with TRS. Patients with schizophrenia were categorized into 3 groups with respect to their antipsychotic response: (1) clozapine (CLZ) nonresponders, (2) CLZ responders, and (3) first-line responders (FLR). GSH and glutamine + glutamate (Glx) levels were measured using 3T proton magnetic resonance spectroscopy. Firstly, dACC GSH levels were compared among the patient groups and healthy controls (HCs). Further, relationships between GSH and Glx levels were compared between the groups and GSH levels were explored stratifying the patient groups based on the glutamate-cysteine ligase catalytic (GCLC) subunit polymorphism. There was no difference in GSH levels between the groups. FLR showed a more negative relationship between GSH and Glx levels in the dACC compared to HCs. There were no effects of GCLC genotype on the GSH levels. However, CLZ responders had a higher ratio of high-risk GCLC genotype compared to CLZ nonresponders. This study demonstrated different relationships between GSH and Glx in the dACC between groups. In addition, the results suggest a potential link between CLZ response and GCLC genotype. However, it still remains unclear how these differences are related to the underlying pathophysiology of schizophrenia subtypes or the mechanisms of action of CLZ.

Metformin for early comorbid glucose dysregulation and schizophrenia spectrum disorders: a pilot double-blind randomized clinical trial.

Patients with schizophrenia have exceedingly high rates of metabolic comorbidity including type 2 diabetes and lose 15-20 years of life due to cardiovascular diseases, with early accrual of cardiometabolic disease. In this study, thirty overweight or obese (Body Mass Index (BMI) > 25) participants under 40 years old with schizophrenia spectrum disorders and early comorbid prediabetes or type 2 diabetes receiving antipsychotic medications were randomized, in a double-blind fashion, to metformin 1500 mg/day or placebo (2:1 ratio; n = 21 metformin and n = 9 placebo) for 4 months. The primary outcome measures were improvements in glucose homeostasis (HbA1c, fasting glucose) and insulin resistance (Matsuda index-derived from oral glucose tolerance tests and homeostatic model of insulin resistance (HOMA-IR)). Secondary outcome measures included changes in weight, MRI measures of fat mass and distribution, symptom severity, cognition, and hippocampal volume. Twenty-two patients (n = 14 metformin; n = 8 placebo) completed the trial. The metformin group had a significant decrease over time in the HOMA-IR (p = 0.043) and fasting blood glucose (p = 0.007) vs. placebo. There were no differences between treatment groups in the Matsuda index, HbA1c, which could suggest liver-specific effects of metformin. There were no between group differences in other secondary outcome measures, while weight loss in the metformin arm correlated significantly with decreases in subcutaneous, but not visceral or hepatic adipose tissue. Our results show that metformin improved dysglycemia and insulin sensitivity, independent of weight loss, in a young population with prediabetes/diabetes and psychosis spectrum illness, that is at extremely high risk of early cardiovascular mortality. Trial Registration: This protocol was registered with clinicaltrials.gov (NCT02167620).

Structural Brain Differences Between Cognitively Impaired Patients With and Without Apathy.

OBJECTIVE: Since apathy increases in prevalence with severity of dementia pathology, we sought to distinguish concomitant neurodegenerative processes from brain differences associated with apathy in persons with mild cognitive impairment (MCI) and Alzheimer's Disease (AD). We examined relative structural brain differences between case-control matched cognitively impaired patients with and without apathy. DESIGN: Cross-sectional case-control study. SETTING: Fifty-eight clinical sites in phase 2 of the AD Neuroimaging Initiative across the United States and Canada. PARTICIPANTS: The ≥ 55 years of age with MCI or AD dementia and no major neurological disorders aside from suspected incipient AD dementia. Participants with apathy (n=69) were age-, sex-, apolipoprotein E ε4 allele carrier status-, Mini-Mental State Exam score-, and MCI or AD dementia diagnosis-matched to participants without apathy (n=149). INTERVENTIONS: The 3-tesla T1-weighted MRI scan and neurocognitive assessments. Using the Neuropsychiatric Inventory apathy domain scores, participants were dichotomized into a with-apathy group (score ≥ 1) and a without-apathy group (score = 0). MEASUREMENTS: Cortical thicknesses from 24 a priori regions of interest involved in frontostriatal circuits and frontotemporal association areas. RESULTS: False-discovery rate adjusted within-group comparisons between participants with apathy and participants without apathy showed thinner right medial orbitofrontal (mOFC; meandifference(MD)±standarderrorofMD(SE)=-0.0879±0.0257mm; standardizedMD(d)=-0.4456) and left rostral anterior cingulate (rACC; MD±SE=-0.0905±0.0325mm; d=-0.3574) cortices and thicker left middle temporal cortices (MTC; MD±SE=0.0688±0.0239mm; d=0.3311) in those with apathy. CONCLUSION: Atrophy of the right mOFC and left rACC and sparing of atrophy in the left MTC are associated with apathy in cognitively impaired persons.

Measuring amphetamine-induced dopamine release in humans: A comparative meta-analysis of [11 C]-raclopride and [11 C]-(+)-PHNO studies.

The radiotracers [11 C]-raclopride and [11 C]-(+)-PHNO are commonly used to measure differences in amphetamine-induced dopamine release between healthy persons and persons with neuropsychiatric diseases. As an agonist radiotracer, [11 C]-(+)-PHNO should theoretically be roughly 2.7 times more sensitive to displacement by endogenous dopamine than [11 C]raclopride. To date, only one study has been published comparing the sensitivity of these two radiotracers to amphetamine-induced dopamine release in healthy persons. Unfortunately, conflicting findings in the literature suggests that the dose of amphetamine they employed (0.3 mg/kg, p.o.) may not reliably reduce [11 C]-raclopride binding in the caudate. Thus, it is unclear whether the preponderance of evidence supports the theory that [11 C]-(+)-PHNO is more sensitive to displacement by amphetamine in humans than [11 C]-raclopride. In order to clarify these issues, we conducted a comparative meta-analysis summarizing the effects of amphetamine on [11 C]-raclopride and [11 C]-(+)-PHNO binding in healthy humans. Our analysis indicates that amphetamine given at 0.3 mg/kg, p.o. does not reliably reduce [11 C]-raclopride binding in the caudate. Second, the greater sensitivity of [11 C]-(+)-PHNO is evidenced at 0.5 mg/kg, p.o., but not at lower doses of amphetamine. Third, our analysis suggests that [11 C]-(+)-PHNO may be roughly 1.5 to 2.5 times more sensitive to displacement by amphetamine than [11 C]-raclopride in healthy persons. We recommend that future displacement studies with these radiotracers employ 0.5 mg/kg, p.o. of amphetamine with a dose, post-scan interval of at least 3 hr. Using this dose of amphetamine, [11 C]-raclopride studies should employ at least n = 34 participants per group, while [11 C]-(+)-PHNO studies should employ at least n = 6 participants per group, in order to be sufficiently powered (80%) to detect changes in radiotracer binding within the caudate.