Publications by authors named "Marco Saettoni"

Introduction: Advances in the operational mode of the cerebellum indicate a role in sequencing and predicting non-social and social events, crucial for individuals to optimize high-order functions, such as Theory of Mind (ToM). ToM deficits have been described in patients with remitted bipolar disorders (BD). The literature on BD patients' pathophysiology reports cerebellar alterations; however, sequential abilities have never been investigated and no study has previously focused on prediction abilities, which are needed to properly interpret events and to adapt to changes.

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Social prediction is a key feature of social cognition (SC), a function in which the modulating role of the cerebellum is recognized. Accordingly, cerebellar alterations are reported in cerebellar pathologies, neurodevelopmental disorders, and psychiatric conditions that show SC deficits. Nevertheless, to date, no study has directly compared populations representative of these three conditions with respect to SC and cerebellar alterations.

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The literature on social cognition abilities in bipolar disorder (BD) is controversial about the occurrence of theory of mind (ToM) alterations. In addition to other cerebral structures, such as the frontal and limbic areas, the processing of socially relevant stimuli has also been attributed to the cerebellum, which has been demonstrated to be involved in the above-mentioned disorder. Nevertheless, the cerebellar contribution to ToM deficits in bipolar patients needs to be elucidated further.

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Bipolar disorder (BD) is a major mental illness characterized by periods of (hypo) mania and depression with inter-episode remission periods. Functional studies in BD have consistently implicated a set of linked cortical and subcortical limbic regions in the pathophysiology of the disorder, also including the cerebellum. However, the cerebellar role in the neurobiology of BD still needs to be clarified.

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Symptoms of borderline personality disorder (BPD) and bipolar disorder (BD) often overlap. In some cases, it is difficult to conduct a differential diagnosis based only on current diagnostic criteria Therefore, it is important to find clinical factors with high discriminatory specificity that, used together with structured or semi-structured interviews, could help improve diagnostic practice. We propose that a clinical analysis of identity, self-concept and self-esteem may help distinguish the two disorders, when they are not co-morbid.

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The aim of this study was to compare the patterns of cerebellar alterations associated with bipolar disease with those induced by the presence of cerebellar neurodegenerative pathologies to clarify the potential cerebellar contribution to bipolar affective disturbance. Twenty-nine patients affected by bipolar disorder, 32 subjects affected by cerebellar neurodegenerative pathologies, and 37 age-matched healthy subjects underwent a 3T MRI protocol. A voxel-based morphometry analysis was used to show similarities and differences in cerebellar grey matter (GM) loss between the groups.

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Background: The cross-sectional clinical differentiation of schizophrenia or schizoaffective disorder from mood-incongruent psychotic mania or mixed mania is difficult, since pathognomonic symptoms are lacking in these conditions.

Aims Of The Study: To compare a series of clinical variables related to mood and cognition in patient groups with DSM-III-R diagnosis of schizophrenia, schizoaffective disorder, mood-incongruent psychotic mania and mood-incongruent psychotic mixed mania.

Methods: One hundred and fifty-one consecutive patients were evaluated in the week prior to discharge by using the structured clinical interview for DSM-III-R-patient edition (SCID-P).

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Background: The present study examined whether specific types of comorbid anxiety disorders, namely panic disorder (PD), social phobia (SP) and obsessive-compulsive disorder (OCD) are differentially associated with course variables and insight into bipolar illness.

Method: The sample consisted of 151 consecutively hospitalized patients with bipolar I disorder. They were assessed in the week prior to discharge using the Structured Clinical Interview for DSM-III-R (SCID-P), the Brief Psychiatric Rating Scale (BPRS), the Global Assessment of Functioning Scale (GAF) and the Hopkins Symptom Checklist (HSCL-90).

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Background: Poor insight into illness is a common feature of bipolar disorder and one that is associated with poor clinical outcome. Empirical studies of illness awareness in this population are relatively scarce with the majority of studies being published over the previous decade. The study reported here sought to replicate previous report findings that bipolar patients frequently show high levels of poor insight into having an illness.

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Gender differences in the social anxiety spectrum and their correlation with other psychopathological features were analyzed in 520 students by using two questionnaires: the Social Anxiety Spectrum Self-Report (SHY-SR), which explores social anxiety spectrum, and the General Spectrum Measure (GSM), which explores panic-agoraphobia, mood, obsessive-compulsive, and eating-behavior features. Mean SHY-SR total score was significantly higher in women than in men, and gender differences were particularly pronounced for interpersonal sensitivity domain. Likewise, GSM scores were higher in women, except for the manic section.

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The present report analyzes the agreement between the interview and the self-report formats of the instruments Structured Clinical Interview for Social Anxiety Spectrum (SCI-SHY) and Structured Clinical Interview for Obsessive Compulsive Spectrum (SCI-OBS), already validated, in three psychiatric patient samples and controls. Thirty patients (10 with obsessive-compulsive disorder [OCD], 10 with social anxiety disorder [SAD], 10 with recurrent unipolar depression in remission) and 20 control subjects (10 university students, 10 ophthalmologic patients) were assessed using the SCI-SHY, the SCI-OBS, and the self report version of the two instruments. Agreement between the two versions was very good for the seven SCI-OBS domains (with intraclass correlation coefficients [ICCs] ranging from 0.

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