A reduced risk of stroke with lithium exposure in bipolar disorder: a population-based retrospective cohort study.

OBJECTIVES: The risk of stroke is increased in patients with bipolar disorder. Lithium exhibits neuroprotective effects but the association between lithium use and the risk of stroke is unknown. METHODS: A population-based retrospective cohort study was conducted by utilizing the National Health Insurance Research Database in Taiwan. Subjects who had first been diagnosed with bipolar disorder between 2001 and 2006 were identified. A propensity score (PS) for receiving lithium was calculated with variables of age, gender, and comorbidities. The patients with bipolar disorder receiving lithium within the period from diagnosis through to December 2011 were designated as the lithium group (n = 635). A 1:2 ratio was used to select PS-matched subjects with bipolar disorder without lithium use (n = 1,250). Multivariate Cox proportional hazards regression models were used to explore the association, rather than causal inference, of lithium exposure and the risk of stroke. RESULTS: Of the 1,885 subjects, 86 (4.6%) experienced stroke, including 2.8% of the lithium group and 5.4% of the non-lithium group. Lithium use was associated with a significantly reduced risk of stroke [hazard ratio (HR) = 0.39, 95% confidence interval (CI): 0.22-0.68]. Reduced risks of stroke were also associated with the highest cumulative lithium dose [≥720 defined daily dose (DDD), HR = 0.25, 95% CI: 0.10-0.59], the longest cumulative exposure period (≥720 days, HR = 0.20, 95% CI: 0.06-0.64), and the highest exposure rate (≥2 DDD/day, HR = 0.39, 95% CI: 0.21-0.70). CONCLUSIONS: Lithium use was significantly related to a reduced risk of stroke in patients with bipolar disorder.

The use of sertraline to treat an adolescent of dystonia comorbid with major depressive disorder with psychotic features.

Dystonia is characterized by sustained or intermittent involuntary muscle contractions. Psychiatric symptoms are essential non-motor features of dystonia, and higher risks of depressive and anxiety disorders have been reported. The precedence of psychiatric to motor symptoms in some patients and the dopaminergic and serotonergic system involvement in both the motor and psychiatric aspects suggest these psychiatric disorders may be intrinsic to the neurobiology of dystonia. Nevertheless, psychiatric comorbidities are often construed as secondary reactions to motor disabilities and the negative bio-psycho-social impacts of dystonia, leading to underdiagnosis and undertreatment. Research on antidepressant use in dystonia is scarce, especially in children and adolescents. This report presents a 17-year-old female with dystonia comorbid with depression with psychotic features, whose motor symptoms improved but psychiatric symptoms persisted with dopaminergic pharmacotherapy. Sertraline was finally added 5 years after the onset and successfully managed her psychotic depression without worsening motor symptoms. Early detection, prompt diagnosis, and timely holistic treatment with dopaminergic agents, antidepressants, and psychosocial interventions are critical for the mental health of dystonia patients.

Exploring fNIRS-Based Brain State Recognition and Visualization through the use of Explainable Convolutional Neural Networks.

Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that has grown vigorously in recent years. With noticeable attention, machine learning methods have also been applied to fNIRS. However, the current approach lacks interpretability of the results. In recent years, the utilization and investigation of fNIRS have experienced significant growth and are now being utilized in clinical research. However, the collection of clinical fNIRS data is limited in sample size. Therefore, our aim is to utilize the collected fNIRS data from all channels and achieve interpretable analysis results with minimal human manipulation, channel selection or feature extraction. We developed an fNIRS-based interpretable model and used class-specific gradient information to visualize the biomarkers captured by the model via locating the important region. The accuracy of our model's classification was 6% higher than that of the conventional SVM method under within-subject classification. The model focuses on signals from the left brain in the classification of right-hand finger tapping task, while in the task of classifying left-handed movements, the model relies on signals from the right brain. These results were consistent with current understanding of physiology.Clinical Relevance- The machine learning-based fNIRS model has the potential to be used for the diagnosis and prediction of therapeutic efficacy in clinical settings.

Differential relations between fronto-limbic metabolism and executive function in patients with remitted bipolar I and bipolar II disorder.

OBJECTIVES: The aim of this study was to investigate the relationship between resting brain glucose metabolism and cognitive profiles in patients with remitted bipolar I disorder (BD-I) and bipolar II disorder (BD-II). We hypothesized that BD-I patients (compared to BD-II patients) would perform worse on tests of cognitive function because of abnormal metabolism in the prefrontal cortex and other mood-related brain areas. METHODS: Thirty-four patients with remitted bipolar disorder (BD) (BD-I = 17, BD-II = 17) under treatment and 17 well-matched healthy controls received both fluorodeoxyglucose ((18) F-FDG) positron emission tomography (PET) and neuropsychological tests of attention, memory, and executive function. RESULTS: Clinical features in patients with BD-I and BD-II were comparable. Executive function, as indicated by performance on the Wisconsin Card Sorting Test, was significantly worse (i.e., higher percentage of errors, lower percentage of conceptual level responses, and fewer categories completed) in BD-I patients than in BD-II patients and healthy subjects. No difference in attention and memory tests was found among these three groups. Brain PET analysis showed that BD-I patients (compared to BD-II patients) had significantly lower glucose uptake in the bilateral anterior cingulum, insula, striatum, and part of the prefrontal cortex, and higher glucose uptake in the left parahippocampus. Further analyses revealed significant correlations between poor executive function and abnormal glucose uptake in other brain areas in BD-I patients. CONCLUSIONS: There are neurobiological differences between subtypes of BD. BD-I is associated with more impaired fronto-limbic circuitry, which might account for reduced executive function in BD-I patients during remission.

Correction to: Imaging and Genetic Approaches to Inform Biomarkers for Anxiety Disorders, Obsessive-Compulsive Disorders, and PSTD.

This chapter was inadvertently published with Fig. 1 which do not belong to this chapter and hence Fig. 1 is deleted from this chapter later.

Quetiapine Related Acute Paralytic Ileus in a Bipolar I Disorder Patient with Successful Low Dose Amisulpride Substitution: A Case Report.

The mechanism of medication-induced gastrointestinal hypomotility is primarily caused by muscarinic cholinergic antagonism. This effect may cause constipation and paralytic ileus, which may lead to fatal complications. A 51-year-old woman was admitted due to manic episode recurrence. She developed paralytic ileus under quetiapine use and treated successfully under low dose amisulpride use. The related mechanism, associated risk factors, and the rationale for medication switch are discussed.

Imaging and Genetic Approaches to Inform Biomarkers for Anxiety Disorders, Obsessive-Compulsive Disorders, and PSTD.

Anxiety disorders are the most common mental health problem in the world and also claim the highest health care cost among various neuropsychiatric disorders. Anxiety disorders have a chronic and recurrent course and cause significantly negative impacts on patients' social, personal, and occupational functioning as well as quality of life. Despite their high prevalence rates, anxiety disorders have often been under-diagnosed or misdiagnosed, and consequently under-treated. Even with the correct diagnosis, anxiety disorders are known to be difficult to treat successfully. In order to implement better strategies in diagnosis, prognosis, treatment decision, and early prevention for anxiety disorders, tremendous efforts have been put into studies using genetic and neuroimaging techniques to advance our understandings of the underlying biological mechanisms. In addition to anxiety disorders including panic disorder, generalised anxiety disorder (GAD), specific phobias, social anxiety disorders (SAD), due to overlapping symptom dimensions, obsessive-compulsive disorder (OCD), and post-traumatic stress disorder (PTSD) (which were removed from the anxiety disorder category in DSM-5 to become separate categories) are also included for review of relevant genetic and neuroimaging findings. Although the number of genetic or neuroimaging studies focusing on anxiety disorders is relatively small compare to other psychiatric disorders such as psychotic disorders or mood disorders, various structural abnormalities in the grey or white matter, functional alterations of activity during resting-state or task conditions, molecular changes of neurotransmitter receptors or transporters, and genetic associations have all been reported. With continuing effort, further genetic and neuroimaging research may potentially lead to clinically useful biomarkers for the prevention, diagnosis, and management of these disorders.

Increased risk of a suicide event in patients with primary fibromyalgia and in fibromyalgia patients with concomitant comorbidities: A nationwide population-based cohort study.

An increased risk of suicide ideation and death has been reported in patients with fibromyalgia. This study aimed to evaluate the risk of a suicide event in patients with primary fibromyalgia and in fibromyalgia patients with comorbidities. We used the Longitudinal Health Insurance Database, a subset of the national insurance claim dataset, which enrolled 1 million Taiwanese people from 2000 to 2005, to identify 95,150 patients with incident fibromyalgia (ICD-9-CM 729.0-729.1) and 190,299 reference subjects matched by sex, age, and index date of diagnosis, with a mean of 8.46 ±â€Š2.37 years of follow-up until 2011. The risk of a suicide event (ICD-9-CM, External-Cause Codes 950-959) was analyzed with a Cox proportional hazards model. Stratification analysis was performed by separating fibromyalgia patients and reference subjects with respect to each comorbidity to determine the risk of suicide in fibromyalgia patients with or without comorbidity relative to subjects who had neither fibromyalgia nor comorbidity. In this Taiwanese dataset, there were 347 suicide events in patients with fibromyalgia (4.16 per 10 person-years) and 424 in matched reference subjects (2.63 per 10 person-years) with a significant crude hazard ratio (HR) of 1.58 (95% confidence interval [CI] 1.38-1.83) and an adjusted HR of 1.38 (95% CI 1.17-1.71) for fibromyalgia patients relative to the matched reference subjects. According to the 2 × 2 stratification analysis, we found that fibromyalgia patients without comorbidity had an independent but mild risk of a suicide event with adjusted HRs ranging from 1.33 to 1.69 relative to subjects with neither fibromyalgia nor comorbidity. Meanwhile, fibromyalgia patients with comorbidity led to a markedly enhanced risk of a suicide event relative to the matched reference subjects, with adjusted HRs ranging from 1.51 to 8.23. Our analysis confirmed a mild-to-moderate risk of a suicide event in patients with primary fibromyalgia. Attention should be paid to the prevention of suicide in fibromyalgia patients with concomitant comorbidities.

Structural and functional correlates of a quantitative autistic trait measured using the social responsive scale in neurotypical male adolescents.

Behaviors associated with autism spectrum disorder (ASD) have been suggested to be considered as quantitative traits. This study investigated the structural and functional correlates of autistic traits measured using the Social Responsiveness Scale (SRS) in neurotypical adolescents. Twenty-six neurotypical male adolescents (12-18 years old) were recruited for this study and underwent structural and resting functional magnetic resonance image scanning, and intelligence quotient and SRS evaluations. We used the automated surface-based method (FreeSurfer) to measure cortical thickness and seed-based functional connectivity (FC) analysis to derive the FC map of the dorsal anterior cingulate (dACC). Brain-wise regression analyses of cortical thickness and FC maps on SRS scores were performed using a general linear model. The results indicated that higher autistic trait ratings of total SRS scores were associated with a thinner cortex in the left insula, right insula, and right superior temporal gyrus. Furthermore, we observed that only higher scores of social awareness were correlated with increased FC between the dACC and right superior temporal gyrus and decreased FC between the dACC and right putamen and thalamus. These results indicated that a quantitative trait in social cognition is associated with structural and connectivity variations linked to ASD patients. Autism Res 2016, 9: 570-578. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

Acute exacerbation of psychiatric symptoms during influenza treatment with oseltamivir in chronic schizophrenia.

Influenza treatment and prophylaxis with oseltamivir are critically important in reducing the morbidity and mortality of patients in chronic psychiatric facilities. Abnormal behavior, delusions, perceptual disturbances, mania, and depression have all been reported as oseltamivir-related psychiatric side effects. We hereby report two chronic schizophrenia patients in Taiwan manifesting psychiatric instability who were being treated with oseltamivir for suspected influenza infection, and further discuss other potential contributing factors. The possibility that oseltamivir can cause psychotic or affective symptoms suggests that additional caution is necessary for its use in patients with an established psychiatric diagnosis.

Functional Connectivity Density Mapping of Depressive Symptoms and Loneliness in Non-Demented Elderly Male.

BACKGROUND: Depression and loneliness are prevalent and highly correlated phenomena among the elderly and influence both physical and mental health. Brain functional connectivity changes associated with depressive symptoms and loneliness are not fully understood. METHODS: A cross-sectional functional MRI study was conducted among 85 non-demented male elders. Geriatric depression scale-short form (GDS) and loneliness scale were used to evaluate the severity of depressive symptoms and loneliness, respectively. Whole brain voxel-wise resting-state functional connectivity density (FCD) mapping was performed to delineate short-range FCD (SFCD) and long-range FCD (LFCD). Regional correlations between depressive symptoms or loneliness and SFCD or LFCD were examined using general linear model (GLM), with age incorporated as a covariate and depressive symptoms and loneliness as predictors. RESULTS: Positive correlations between depressive symptoms and LFCD were observed in left rectal gyrus, left superior frontal gyrus, right supraorbital gyrus, and left inferior temporal gyrus. Positive correlations between depressive symptoms and SFCD were observed in left middle frontal gyrus, left superior frontal gyrus, bilateral superior medial frontal gyrus, left inferior temporal gyrus, and left middle occipital region. Positive correlations between SFCD and loneliness were centered over bilateral lingual gyrus. CONCLUSION: Depressive symptoms are associated with FCD changes over frontal and temporal regions, which may involve the cognitive control, affective regulation, and default mode networks. Loneliness is associated with FCD changes in bilateral lingual gyri that are known to be important in social cognition. Depressive symptoms and loneliness may be associated with different brain regions in non-demented elderly male.

Treatment dilemma in comorbidity of schizophrenia and idiopathic Parkinson's disease.

Extrapyramidal symptoms are frequently found in patients with schizophrenia. Most are attributed as drug-induced parkinsonism, but comorbidity of idiopathic Parkinson's disease is also possible. We report a 59-year-old male with a diagnosis of schizophrenia for 32 years. Progressive hand tremor was noted from age 53; and then masked face, bradykinesia, dysphagia, sialorrhea; and unsteady shuffling gait became markedly exacerbated, even after discontinuing all antipsychotics for 6 months. The diagnosis of idiopathic Parkinson's disease was confirmed by Tc99m TRODAT SPECT. The dilemma of psychopharmacological treatment to control both disorders was encountered. Based on the review of treatment for Parkinson's disease psychosis (PDP), the recommended treatments suggest the utilization of quetiapine, clozapine, or aripiprazole. However, monotherapy with each of the three atypical antipsychotics failed due to poor efficacy or worsening of parkinsonism symptoms. After a 2-month cautious titration, a combination of quetiapine 50 mg/day and clozapine 37.5 mg/day finally achieved satisfactory efficacy. This case report illustrates the dilemma of treating a patient with schizophrenia and comorbid idiopathic Parkinson's disease, which differed from PDP and required more clinical data for a proper treatment recommendation.