Effort-based decision-making has been proposed as a potential mechanism contributing to transdiagnostic motivational deficits in psychotic disorder and bipolar disorder. However, very limited information is available about deficits in effort-cost-decision-making in the early stages of psychotic disorder and no study has investigated effort allocation deficits before the onset of bipolar disorder. Our aim was to investigate effort-based-decision-making in ultra-high-risk for psychosis (UHR-P) and bipolar disorder (UHR-BD).

Effort-cost decision-making performance was evaluated in UHR-P (n = 72) and UHR-BD (n = 68) and healthy controls (n = 38). Effort-Expenditure for Reward Task (EEfRT) was used.

Compared to controls, both UHR-P and UHR-BD groups were associated with a reduced possibility to choose the harder task when the reward magnitudes and/or the likelihood of receiving the reward were high. In both groups, effort allocation abnormalities were associated with poor social functioning.

The current findings suggest that difficulties in effort-cost computation are transdiagnostic markers of illness liability in psychotic and bipolar disorders. In early intervention services, effort-based decision-making abnormalities should be considered as a target for interventions to manage motivational deficits in individuals at high risk for psychosis and BD.

Enlarged pituitary gland volume could be a marker of psychotic disorders. However, previous studies report conflicting results. To better understand the role of the pituitary gland in psychosis, we examined a large transdiagnostic sample of individuals with psychotic disorders.

The study included 751 participants (174 with schizophrenia, 114 with schizoaffective disorder, 167 with psychotic bipolar disorder, and 296 healthy controls) across six sites in the Bipolar-Schizophrenia Network on Intermediate Phenotypes consortium. Structural magnetic resonance images were obtained, and pituitary gland volumes were measured using the MAGeT brain algorithm. Linear mixed models examined between-group differences with controls and among patient subgroups based on diagnosis, as well as how pituitary volumes were associated with symptom severity, cognitive function, antipsychotic dose, and illness duration.

Mean pituitary gland volume did not significantly differ between patients and controls. No significant effect of diagnosis was observed. Larger pituitary gland volume was associated with greater symptom severity (F = 13.61, p = 0.0002), lower cognitive function (F = 4.76, p = 0.03), and higher antipsychotic dose (F = 5.20, p = 0.02). Illness duration was not significantly associated with pituitary gland volume. When all variables were considered, only symptom severity significantly predicted pituitary gland volume (F = 7.54, p = 0.006).

Although pituitary volumes were not increased in psychotic disorders, larger size may be a marker associated with more severe symptoms in the progression of psychosis. This finding helps clarify previous inconsistent reports and highlights the need for further research into pituitary gland-related factors in individuals with psychosis.

Schizophrenia is associated with hypoactivation of reward sensitive brain areas during reward anticipation. However, it is unclear whether these neural functions are similarly impaired in other disorders with psychotic symptomatology or individuals with genetic liability for psychosis. If abnormalities in reward sensitive brain areas are shared across individuals with psychotic psychopathology and people with heightened genetic liability for psychosis, there may be a common neural basis for symptoms of diminished pleasure and motivation.

We compared performance and neural activity in 123 people with a history of psychosis (PwP), 81 of their first-degree biological relatives, and 49 controls during a modified Monetary Incentive Delay task during fMRI.

PwP exhibited hypoactivation of the striatum and anterior insula (AI) during cueing of potential future rewards with each diagnostic group showing hypoactivations during reward anticipation compared to controls. Despite normative task performance, relatives demonstrated caudate activation intermediate between controls and PwP, nucleus accumbens activation more similar to PwP than controls, but putamen activation on par with controls. Across diagnostic groups of PwP there was less functional connectivity between bilateral caudate and several regions of the salience network (medial frontal gyrus, anterior cingulate, AI) during reward anticipation.

Findings implicate less activation and connectivity in reward processing brain regions across a spectrum of disorders involving psychotic psychopathology. Specifically, aberrations in striatal and insular activity during reward anticipation seen in schizophrenia are partially shared with other forms of psychotic psychopathology and associated with genetic liability for psychosis.

Severe mental illness (SMI) is associated with significant morbidity. Frailty combines biological ageing, comorbidity and psychosocial factors and can predict adverse health outcomes. Emerging evidence indicates that frailty is higher in individuals with SMI than in the general population, although studies have been limited by sample size.

To describe the prevalence of frailty in people with SMI in a large cohort using three different frailty measures and examine the impact of demographic and sociodemographic variables.

The UK Biobank survey data, which included individuals aged 37–73 years from England, Scotland and Wales from 2006 to 2010, with linked in-patient hospital episodes, were utilised. The prevalence of frailty in individuals with and without SMI was assessed through three frailty measures: frailty index, physical frailty phenotype (PFP) and Hospital Frailty Risk Score (HFRS). Stratified analysis and dichotomous logistic regression were conducted.

A frailty index could be calculated for 99.5% of the 502 412 UK Biobank participants and demonstrated greater prevalence of frailty in women and an increase with age. The prevalence of frailty for those with SMI was 3.19% (95% CI 3.0–3.4), 4.2% (95% CI 3.8–4.7) and 18% (95% CI 15–23) using the frailty index, PFP and HFRS respectively. The prevalence ratio was between 3 and 18 times higher than in those without SMI.

As a measure, frailty captures the known increase in morbidity associated with SMI and may potentially allow for earlier identification of those who will benefit from targeted interventions.

Impairments of empathy have been observed in patients with various psychiatric Disorders. Yet, little research on empathy concerning mood disorders exists.

To compare empathy levels in euthymic bipolar patients (BP) and healthy controls (HC).

A cross-sectional and comparative study of 78 patients followed for bipolar disorder, during euthymia, at the psychiatric outpatient clinic at CHU Hédi Chaker in Sfax, and 78 age-gender matched HC. We used a socio-demographic and clinical data sheet and the Questionnaire of Cognitive And Affective Empathy (QCAE) to assess empathy with its two dimensions : “Affective empathy” and “Cognitive empathy”.

The average age was 36.27 years, the sex ratio was 5.5. Bipolar I disorder was diagnosed in 88.5% of patients. The mean age of onset was 27.73 years, and the mean duration of illness was 8.4 years. Total scores of empathy as well as scores of cognitive and affective empathy were higher in HC than in BP. *Total QCAE BP vs HC : 72.49 vs 80.53 *Cognitive empathy BP vs HC : 43.21 vs 94.24 *Affective empathy BP vs HC : 29.36 vs 30.44 A significant difference in QCAE score and cognitive empathy score between BP and HC was found (p<10-3).

In our study, euthymic BP have been less empathetic than HC. Research on the subject are small and few. Thus, more studies are needed to confirm our results on the effect of mood disorders on empathy.

No significant relationships.

Obsessive phenomena, when present, are usually seen in the depressive phase of bipolar disorder.

The peculiar case with aggravation in ruminative and obsessive thinking with simultaneous hypomania may widen our understanding of the phenomenology of antidepressant induced hypomanic symptoms.

We present a case of ruminative hypomania induced by high dose venlafaxine. Young Mania Rating Scale (YMRS), Hamilton Depression Rating Scale (HAM-D) and Yale Brown Obsessive Compulsive Scale (YBOCS) were used for symptom ratings.

The patient was 30 years old and she had treatment history of depression for 3 months. She had two consecutive suicide attempts with drugs in the week before she was hospitalized for suicidal risk. She was using venlafaxine 300 mg/day and olanzapin 2,5 mg/day; continuous ruminative thinking about the past and imaginary sexual affairs with former friends were apparent with an unremitting pattern, leading to intense psychomotor agitation and suicide attempts. Irritable mood, and increased energy was observed with continuous ruminations. She was diagnosed with bipolar-II-disorder, with mixed features and anxious distress (YMRS:17, HAM-D:22, YBOCS:34). After discontinuing venlafaxine and starting anti-manic treatment with haloperidol 10 mg/day in the first week, both affective symptoms and ruminations were improved (YMRS:2, HAM-D:4, YBOCS:8). Aripiprazol 20 mg/day and quetiapine 100 mg/day which were given for continuation treatment were also effective for preserving full remission.

When prescribing high dose venlafaxine for treatment resistant depression, it should be remembered that this may induce hypomanic symptoms and prominent ruminative thinking which can be ameliorated with anti-manic treatment.

No significant relationships.

The Covid-19 pandemic profoundly affected delivery and accessibility of mental health care services at a time when most needed. The OPTIMA Mood Disorder Service, a specialist bipolar disorder service, adapted group psychoeducation programme for delivery on-line.

We report the feasibility of creating a digital psychoeducation programme.

The OPTIMA ten session group psychoeducation programme was converted into a ‘Digital’ intervention using video-conferencing. Sessions offered a range of key topics, derived from the initial Barcelona Group Psychoeducation Programme. At the time of writing, OPTIMA had fully completed two 10 session digital courses.

A total of 12 people (6 in each group) consented to be part of a service evaluation of the digital groups. Just over half of the participants were women (7/12; 58.3%) and one identified as being non-binary (8.3); remaining participants were men. Age of participants ranged from 25 years to 65 years (Mean=42.3; SD=13.1). Data showed a high level of engagement (77%) All participants reported some improvement with a mean Bipolar Self-Efficacy scale (BPSES) post-group score of 105.6 (SD=14.8). At group level, this change was not statistically significant (F (1, 15) = 0.71, p=0.41). At an individual level, two out of five showed a reliable change index >1.96.

Delivering a ‘digital’ group psychoeducation programme was possible due to careful planning and programme development. There was good uptake from service users suggesting it is a feasible approach with preliminary evidence of clinical benefit.

No significant relationships.

Bipolar disorder (BD) is a mental illness marked by extreme swings in the mood, energy, and thinking. Although it’s not an official symptom of the disease, some research suggests that it also may affect the empathy.

To investigate empathic responding in patients with BD in euthymic state of illness and to determine associated factors.

A cross-sectional and descriptive study of 78 patients followed for bipolar disorder, during euthymia, at the psychiatric outpatient clinic at CHU Hédi Chaker in Sfax. We used a socio-demographic and clinical data sheet and the Questionnaire of Cognitive And Affective Empathy (QCAE) to assess empathy with its two dimensions : “Affective empathy” and “Cognitive empathy”.

The average age was 36.27 years, the sex ratio was 5.5. Bipolar I disorder was diagnosed in 88.5% of patients. The mean age of onset was 27.73 years, and the mean duration of illness was 8.4 years. 78.2% of patients had a good adherence to treatment. 60.3% of them had residual depressive symptoms during eutymia. QCAE total score was 72.49. (Maximum possible score 124) Cognitive empathy score was 43.21. (Maximum possible score 76) Affective empathy score was 29.36. (Maximum possible score 48) Affective empathy was associated with female gender (p=0), good adherence to treatment (p=0.01) and residual depressive symptoms (p=0.001).

Our study shows that bipolar patients have fairly good levels of empathy. However, in order to better substantiate empathy in BD, comparative studies seem necessary.

No significant relationships.

No significant relationships.

Bipolar disorder or manic-depressive illness is a mental disorder which consists of abnormal and long-lasting changes in a person’s mood, energy, and ability to function. The ongoing COVID-19 pandemic restrictions precipitate the condition of those with bipolar affective disorder.

We searched for significant differences before and during the pandemic by analyzing socio-demographic data.

We carried out a research activity at the I Psychiatry Clinic of the Clinical Hospital of Neuropsychiatry Craiova. We formed two groups of hospitalized patients during 2019 and during 2020, when the pandemic broke out. The inclusion criterion was the presence of bipolar affective disorder as a primary diagnosis.

The number of cases and the total number of hospitalization days was higher during the pandemic, 101 cases versus 94 cases, 1667 days versus 1184 days. We identified a predominance of females during the pandemic, whereas in the previous year the distribution by sex was approximately equal. Regarding environment, the number of patients from urban and rural areas was approximately equal in 2019, while during the pandemic those in urban areas predominated, possibly due to easier access to psychiatric services. The ages of patients maintained a Gaussian distribution with a concentration of cases between 35-55 years.

While other psychiatric disorders were less present in the clinic during the pandemic, the number of bipolar affective disorder cases increased. Bipolar affective disorder is a major challenge due to the wide range of symptoms which cross with comorbidities that increase the likelihood of a SARS-CoV-2 infection.

No significant relationships.

Hyperprolactinemia is a frequent medical condition in daily clinical practice. In most laboratories, normal prolactin (PRL) concentrations are less than 25ng / ml in women and less than 20ng / ml in men. The causes of hyperprolactinemia can be physiological or secondary, among which a differential diagnosis must be made.

The causes of hyperprolactinemia are reviewed on the basis of a clinical case.

Bibliographic review and presentation of a clinical case.

The case of a 17-year-old patient is presented, who comes to the Emergency Department due to a picture of agitation at home. Her relatives comment that two months ago, they began to notice her strange, very active and without the need to sleep. During the examination, the patient presents with verbiage, flight of ideas, and megalomanic thoughts. A manic episode was diagnosed and the patient was admitted to the psychiatric hospital. She was prescribed risperidone up to 4mg / day, carrying out prolactin determination after a few days. The baseline prolactin determination was 140 ng / ml and 130 ng/ml at twenty minutes. Due to the very high levels, the question arises as to whether the cause of hyperprolactinemia is due to treatment or hypothalamic damage. The MRI: “slight asymmetry in the pituitary gland, being discreetly more globular the adenohypophyseal LD, which could be in relation to underlying microadenoma”. As there were no previous data, the decision was made to withdraw risperidone with the introduction of aripiprazole and imaging tests periodically.

Differential diagnosis of the cause of hyperprolactinemia is important.

No significant relationships.

Numerous studies have documented high rates of functional impairment among bipolar disorder patients, even during phases of euthymia.

To study different domains of functioning impairment in bipolar patients during euthymic phase.

A cross-sectional and descriptive study of 78 patients followed for bipolar disorder, during euthymia, at the psychiatric outpatient clinic at CHU Hédi Chaker in Sfax. We used a socio-demographic and clinical data sheet and the Functioning Assessment Short Test (FAST) to assess functionning : A functional impairment was retained for a total FAST score > 11.

The average age was 36.27 years, the sex ratio was 5.5. Bipolar I disorder was diagnosed in 88.5% of patients. The mean age of onset was 27.73 years, and the mean duration of illness was 8.4 years. *The mean total score at the FAST was 22.23. *Functioning was altered on 69.2% of patients. *The occupational and the cognitive functioning were the two most altered domains in our population (respective mean scores : 8.69 and 5.74). *Autonomy was altered on 17.9% of patients. *Occupationnal functioning was altered on 76.9% of patients. *Cognitive functioning was altered on 70.5% of patients. *Financial issues were observed on 34.6% of patients. *Interpersonal relationships were altered on 41% of patients. *Leisure time difficulties were present with 24.4% of patients.

This work has focused on the very high frequency of functional handicap in euthymic bipolar patients. Thus, several measures must be put in place to prevent or mitigate the negative effects of the impaired functioning on these patients.

No significant relationships.