Spatio-temporal heterogeneity in hippocampal metabolism in control and epilepsy conditions.

The hippocampus's dorsal and ventral parts are involved in different operative circuits, the functions of which vary in time during the night and day cycle. These functions are altered in epilepsy. Since energy production is tailored to function, we hypothesized that energy production would be space- and time-dependent in the hippocampus and that such an organizing principle would be modified in epilepsy. Using metabolic imaging and metabolite sensing ex vivo, we show that the ventral hippocampus favors aerobic glycolysis over oxidative phosphorylation as compared to the dorsal part in the morning in control mice. In the afternoon, aerobic glycolysis is decreased and oxidative phosphorylation increased. In the dorsal hippocampus, the metabolic activity varies less between these two times but is weaker than in the ventral. Thus, the energy metabolism is different along the dorsoventral axis and changes as a function of time in control mice. In an experimental model of epilepsy, we find a large alteration of such spatiotemporal organization. In addition to a general hypometabolic state, the dorsoventral difference disappears in the morning, when seizure probability is low. In the afternoon, when seizure probability is high, the aerobic glycolysis is enhanced in both parts, the increase being stronger in the ventral area. We suggest that energy metabolism is tailored to the functions performed by brain networks, which vary over time. In pathological conditions, the alterations of these general rules may contribute to network dysfunctions.

Prevalence of mood, panic and eating disorders in obese patients referred to bariatric surgery: patterns of comorbidity and relationship with body mass index.

PURPOSE: We aimed at investigating the lifetime prevalence of mood, eating and panic disorders in a large sample of obese patients referred to bariatric surgery. We also explored the patterns of psychiatric comorbidity and their relationship with Body Mass Index (BMI). METHODS: The sample was composed of patients consecutively referred for pre-surgical evaluation to the Obesity Center of Pisa University Hospital between January 2004 and November 2016. Clinical charts were retrieved and examined to obtain sociodemographic information, anthropometric variables and lifetime psychiatric diagnoses according to DSM-IV criteria. RESULTS: A total of 871 patients were included in the study; 72% were females, and most patients had BMI ≥ 40 kg/m2 (81%). Overall, 55% of the patients were diagnosed with at least one lifetime psychiatric disorder. Binge eating disorder (27.6%), major depressive disorder (16%), bipolar disorder type 2 (15.5%), and panic disorder (16%) were the most common psychiatric diagnoses. Mood disorders showed associations with panic disorder (OR = 2.75, 95% CI = 1.90-3.99, χ2 = 41.85, p = 0.000) and eating disorders (OR = 2.17, 95% CI 1.64-2.88, χ2 = 55.54, p = 0.000). BMI was lower in patients with major depressive disorder (44.9 ± 7.89) than in subjects without mood disorders (46.75 ± 7.99, padj = 0.017). CONCLUSION: Bariatric patients show high rates of psychiatric disorders, especially binge eating and mood disorders. Longitudinal studies are needed to explore the possible influence of such comorbidities on the long-term outcome after bariatric surgery. LEVEL OF EVIDENCE: V, cross sectional descriptive study.

Challenges of Treating ADHD with Comorbid Substance Use Disorder: Considerations for the Clinician.

Adults with attention deficit/hyperactivity disorder (ADHD) often present psychiatric comorbidities and, in particular, substance use disorder (SUD). ADHD-SUD comorbidity is characterized by greater severity of both disorders, earlier age of onset, higher likelihood of polydrug-abuse and suicidal behaviors, more hospitalizations, and lower treatment adherence. At the present stage, research focused on the pharmacological management of ADHD with comorbid SUD in both adolescents and adults is still lacking. Furthermore, while the short-term effects of stimulants are well studied, less is known about the chronic effects of these drugs on dopamine signaling. Current available evidence is consistent in reporting that high doses of stimulant medications in ADHD-SUD subjects have a mild to moderate efficacy on ADHD symptoms. Some data suggest that pharmacological treatment with stimulants may be beneficial for both ADHD symptoms and comorbid cocaine or amphetamine use. However, in the long run, stimulant medications may have a potential risk for misuse. For the absence of potential misuse, atomoxetine is often recommended for ADHD with comorbid cocaine or amphetamine use disorder. However, its efficacy in reducing addictive behavior is not demonstrated. In subjects with other subtypes of SUD, both atomoxetine and stimulant drugs seem to have scarce impact on addictive behavior, despite the improvement in ADHD symptomatology. In this population, ADHD treatment should be combined with SUD-specific strategies.

The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go?

Electroconvulsive therapy (ECT) is an established treatment choice for severe, treatment-resistant depression, yet its mechanisms of action remain elusive. Magnetic resonance imaging (MRI) of the human brain before and after treatment has been crucial to aid our comprehension of the ECT neurobiological effects. However, to date, a majority of MRI studies have been underpowered and have used heterogeneous patient samples as well as different methodological approaches, altogether causing mixed results and poor clinical translation. Hence, an association between MRI markers and therapeutic response remains to be established. Recently, the availability of large datasets through a global collaboration has provided the statistical power needed to characterize whole-brain structural and functional brain changes after ECT. In addition, MRI technological developments allow new aspects of brain function and structure to be investigated. Finally, more recent studies have also investigated immediate and long-term effects of ECT, which may aid in the separation of the therapeutically relevant effects from epiphenomena. The goal of this review is to outline MRI studies (T1, diffusion-weighted imaging, proton magnetic resonance spectroscopy) of ECT in depression to advance our understanding of the ECT neurobiological effects. Based on the reviewed literature, we suggest a model whereby the neurobiological effects can be understood within a framework of disruption, neuroplasticity, and rewiring of neural circuits. An improved characterization of the neurobiological effects of ECT may increase our understanding of ECT's therapeutic effects, ultimately leading to improved patient care.

High exposure to pharmacological treatments is associated with limited efficacy of electroconvulsive therapy in bipolar depression.

Episode chronicity and medication failure are considered robust predictors of poor response to electroconvulsive therapy (ECT). In this study we explored the associations between indexes of drug exposure during current episode and outcomes of ECT in 168 bipolar depressive patients. The association between response or remission and number of previous pharmacological trials, failure of treatment with antidepressants, antipsychotics or combinations, and sum of maximum Antidepressant Treatment History Form (ATHF) scores obtained in each pharmacological class were tested. 98 patients (58%) were considered responders and 21 remitters (13%). Number of trials, number of adequate trials, ATHF sum, antidepressant-antipsychotic combination therapy failure and failure of two adequate trials were significantly negatively associated with remission. The association with ATHF sum stayed significant when controlling for episode duration and manic symptoms and survived stepwise model selection. No significant associations with response were identified. In conclusion, a history of multiple drug treatments may be linked to a greater resistance to all types of therapies, including ECT. However, we could not exclude that, at least in some patients, a prolonged exposure to pharmacological treatments may be responsible for a greater chronicity and for the presence of residual symptoms, which would explain reduced remission after ECT.

Association of treatment facets, severity of manic symptoms, psychomotor disturbances and psychotic features with response to electroconvulsive therapy in bipolar depression.

OBJECTIVES: Clinically useful predictors of response to electroconvulsive therapy (ECT) are warranted, especially in the case of bipolar depression. The aim of this study was to explore the associations between response and its known and putative correlates. METHODS: Six hundred seventy bipolar depressive patients treated with ECT were included in the study. The association between response (CGI-I ≤ 2) and mean seizure duration, number of treatments, age, sex, bipolar subtype, episode duration, HAM-D and YMRS scores, psychomotor disturbances and psychotic symptoms assessed through BPRS-EV were evaluated by means of univariate and multivariate logistic regression models, including quadratic and/or linear effects of continuous variables. RESULTS: Four hundred eighty three patients (72%) were responders. Among known correlates of response, significant quadratic effects were found for seizure duration and number of treatments, while a linear association was confirmed for episode duration. Among putative correlates, severe motor retardation, tension or agitation, hyperactivity and delusions of guilt were significantly associated with response (p<.01) and a significant quadratic effect was found for YMRS score (p<.01). CONCLUSION: Bipolar depressive patients with severe psychomotor disturbances, mood-congruent delusions and severe mixed features are highly responsive to ECT. A significant improvement in response prediction is expected when considering those clinical characteristics.

Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40) assessing emotional dysregulation: Development, reliability and validity.

BACKGROUND: Emotional dysregulation (ED) is a heterogenous construct with great relevance in psychiatric research and clinical practice. In the present study, we validated a 40-items version of the Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40), a self-report measure of ED. METHODS: A non-clinical sample (N = 396) and two clinical samples of patients with cyclothymia (N = 120) and ADHD (N = 54) were recruited. Items were selected and subscales were derived based on inter-item correlations and PCA with promax rotation in the non-clinical sample. Test-retest reliability was assessed in a subsample (N = 60). Internal consistency and concurrent validity with TEMPS-M factors were evaluated in each sample. The three groups results were compared to ascertain discriminant validity. RESULTS: Four subscales were identified as measures of affective instability, emotional impulsivity, negative and positive emotionality. The first three subscales also sum up to a negative ED score comprising thirty items. Measures of reliability (test-retest r = 0.71-0.84) and internal consistency (Cronbach's α = 0.72-0.95) were generally high. Concurrent validity was supported by correlations with TEMPS-M factors. Discriminant validity was significant (p < 0.001) with cyclothymic and ADHD patients showing higher scores for each subscale, except for positive emotionality. LIMITATIONS: The non-clinical sample was recruited through a web-survey and mainly included young and highly educated subjects. Mood and anxiety comorbidity of the clinical samples were not taken into consideration. CONCLUSION: RIPoSt-40 questionnaire has proved to be a valid, reliable and useful tool to assess ED both in clinical and non-clinical contexts.

The role of overlapping excitatory symptoms in major depression: are they relevant for the diagnosis of mixed state?

BACKGROUND: DSM-5 and ICD-11 define mixed depression as the presence of non-overlapping symptoms of opposite polarity during a major depressive episode. However, such a definition has generated controversy. METHODS: 2720 patients with major depression, enrolled in BRIDGE-II-MIX cross-sectional study, were subdivided in clusters using a k-medoids algorithm based on 32 clinical features. Clinical variables were compared among clusters. Stepwise logistic regression and random forest predictor importance estimates were used to identify which features best predicted cluster membership. Data-driven criteria were compared with DSM-5 mixed specifier and previously proposed research-based criteria (RBDC). RESULTS: Two clusters were identified (MDE ± MX), mainly reflecting differences in current manic symptoms. As expected, MDE + MX showed higher rates of comorbidities and bipolar features, more previous depressive episodes and suicide attempts, shorter duration of current MDE and lower age at onset. Seven clinical features among the original 32 proved to be the best predictors of cluster membership. Derived criteria perfectly allocated subjects in clusters, requiring at least four features out of the following seven: irritability, emotional lability, psychomotor agitation, distractibility, mood reactivity, absence of reduced appetite, and absence of psychomotor retardation. RBDC showed a better performance than DSM-5 in identifying MDE + MX subjects. CONCLUSION: Our results strongly suggest a predominant role for overlapping "manic" symptoms in defining mixed depressive states. Mixed depression is better identified by the presence of excitatory features shared with mania and atypical features rather than by non-overlapping manic symptoms.