Classification of first-episode psychosis using cortical thickness: A large multicenter MRI study.

Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness, but most of them have used parcellation approaches with data from single sites, which limits claims of generalizability. To address these limitations, we conducted a large-scale, multi-site analysis of cortical thickness comparing parcellations and vertex-wise approaches. By leveraging the multi-site nature of the study, we further investigated how different demographical and site-dependent variables affected predictions. Finally, we assessed relationships between predictions and clinical variables. 428 subjects (147 females, mean age 27.14) with FEP and 448 (230 females, mean age 27.06) healthy controls were enrolled in 8 centers by the ClassiFEP group. All subjects underwent a structural MRI and were clinically assessed. Cortical thickness parcellation (68 areas) and full cortical maps (20,484 vertices) were extracted. Linear Support Vector Machine was used for classification within a repeated nested cross-validation framework. Vertex-wise thickness maps outperformed parcellation-based methods with a balanced accuracy of 66.2% and an Area Under the Curve of 72%. By stratifying our sample for MRI scanner, we increased generalizability across sites. Temporal brain areas resulted as the most influential in the classification. The predictive decision scores significantly correlated with age at onset, duration of treatment, and positive symptoms. In conclusion, although far from the threshold of clinical relevance, temporal cortical thickness proved to classify between FEP subjects and healthy individuals. The assessment of site-dependent variables permitted an increase in the across-site generalizability, thus attempting to address an important machine learning limitation.

Olfactory and gustatory dysfunctions in SARS-CoV-2 infection: A systematic review.

BACKGROUND: Among Coronavirus Disease 2019 (COVID-19) manifestations, Olfactory (OD) and Gustatory (GD) Dysfunctions (OGD) have drawn considerable attention, becoming a sort of hallmark of the disease. Many have speculated on the pathogenesis and clinical characteristics of these disturbances; however, no definite answers have been produced on the topic. With this systematic review, we aimed to collect all the available evidence regarding the prevalence of OGD, the timing of their onset and their resolution, their rate of recovery and their role as diagnostic and prognostic tools for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. METHODS: A systematic review comprising all the observational studies that reported the prevalence and/or the longitudinal trajectories of OGD in COVID-19 patients, as self-reported by patients or measured through objective psychophysical tests. RESULTS: After the selection process, 155 studies were included, with a total of 70,920 patients and 105,291 not-infected individuals. Prevalence reports were extremely variable across studies, with wide ranges for OD (0%-98%) and GD (0-89%) prevalence. OGD occurred early during the disease course and only rarely preceded other symptoms; out of 30 studies with a follow-up time of at least 20 days, only in 5 studies OGD fully resolved in more than 90% of patients. OGD had low sensitivity and high specificity for SARS-CoV-2 infection; accuracy of OD and GD for infection identification was higher than 80% in 10 out of 33 studies and in 8 out of 22 studies considered, respectively. 28 out of 30 studies that studied the association between OGD and disease severity found how OGD were associated with lower rates of severe pneumonia, hospitalization and mortality. CONCLUSIONS: OGD seem to be highly prevalent in SARS-CoV-2 infection. They occur early, concomitantly with other symptoms and often persist after recovery, in some cases for months; whether a full recovery eventually occurs in all cases is not clear yet. OGD are good predictors of SARS-CoV-2 infection and are associated with a milder disease course.

A focus on valproate and cognitive deficits in Bipolar Disorders: A mini-review: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD.

BACKGROUND: Cognitive deficits represent a core feature of Bipolar Disorder (BD), which seem to characterize this disorder regardless of the mood phase. However, the role of pharmacological treatment in determining cognitive alterations is still not clear. Indeed, although drugs improve cognition by targeting mood symptoms, they could also carry their own cognitive side effects. This is true especially for mood stabilizers as they are the most commonly prescribed drugs in patients affected by BD and they are usually administered also during euthymic phases. METHODS: In this context, the present review aimed at summarizing the results of the studies evaluating the impact of valproate on cognitive functions in patients suffering from BD, as primary or secondary results. The inclusion criteria were met by ten studies. Specifically, we included one double-blind quasi-randomized study and nine cross-sectional or naturalistic studies, which a) used healthy subjects as control group (N = 1), b) compared valproate treated patients with healthy individuals and other treatments (N = 5), and c) compared valproate treated patients just with other treatments, with a specific focus on lithium (N = 3). RESULTS: Overall the results suggested a negative effect of valproate on cognitive functions in chronically-treated patients affected by BD. Notably, it has been found that the working memory was the most affected cognitive domain. LIMITATIONS: Few studies directly explored the effect of valproate on cognition in BD. CONCLUSIONS: These findings seem to suggest that valproate might have a negative effect on cognitive functions, especially on working memory domain. However, the results should be taken cautiously since the limited number of available studies published so far. In conclusion, these evidences seem to point out that the possible cognitive side effects of pharmacological treatments should be carefully taken into account, especially in chronic patients.

Disease-discordant twin structural MRI studies on affective disorders.

Magnetic resonance imaging (MRI) studies have identified neural structures implicated in the pathophysiology of mood disorders, especially bipolar disorder (BD) and major depressive disorder (MDD). However, the role of genetic and environmental influences on such brain deficits is still unclear. In this context, the present review summarizes the current evidence from structural MRI and Diffusion Tensor Imaging (DTI) studies on twin samples concordant or discordant for BD or MDD, with the aim of clarifying the role of genetic and environmental risk factors on brain alterations. Although the results showed a complex interplay between gene and environment in affective disorders, the evidence seem to underline that both genetic and environmental risk factors have an impact on brain areas and vulnerability to MDD and BD. However, the precise mechanism of action and the interaction between these factors still needs to be unveiled. Therefore, future larger studies on concordant or discordant twins should be encouraged, because this population provides a unique opportunity to probe separately genetic and environmental markers of disease vulnerability.

The impact of COMT polymorphisms on cognition in Bipolar Disorder: A review: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders.

BACKGROUND: Cognitive deficits represent a core feature of Bipolar Disorder. The dopamine system is considered fundamental for cognitive functions relying on prefrontal cortex, such as attention and executive functions. A genetic regulation of prefrontal dopamine has been described and the catechol-O-methyltransferase (COMT) has been extensively studied in relation to numerous psychiatric phenotypes, especially because of the involvement of its polymorphisms in the regulation of cognitive functions. Specifically, the Val158Met polymorphism greatly alters COMT function and cognitive performance in both psychiatric disorders and healthy controls. However, only few studies assessed the association between COMT polymorphisms and cognitive functions in bipolar disorder (BD) subjects and this association might help in the comprehension of cognitive alterations in BD. METHODS: In this context, the present review summarizes results from genetic studies that investigated COMT genetic modulation on cognitive performance in patients affected by BD. RESULTS: Overall the results confirmed that (a) COMT Val158Met polymorphism is associated with altered cognitive functions in BD patients, especially in the domains of memory, executive functions and emotion detection; and (b) COMT genotype may interact with both mood episodes and pharmacologic treatments in determining the cognitive profile of these subjects. LIMITATIONS: Few genetic studies exploring COMT genetic effect on cognition in BD. CONCLUSIONS: These findings seem to indicate a role of COMT polymorphisms in regulating cognitive functioning in patients with BD. The genetically determined dopaminergic tone may be further affected by mood episodes and pharmacological treatments.

The impact of BDNF Val66Met polymorphism on cognition in Bipolar Disorder: A review: Special Section on "Translational and Neuroscience Studies in Affective Disorders" Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders.

BACKGROUND: Converging lines of evidence suggest that Brain-Derived Neurotrophic Factor (BDNF) may play a central role in the pathogenesis of Bipolar Disorder (BD), thus representing a valid biomarker of the disease. A common genetic variation in the BDNF gene, the Val66Met, is associated with reduced maturation and secretion of BDNF and therefore it has been related to specific mood, cognitive and neuroanatomical alterations in BD. However, so far, only a handful of studies have investigated the association between Val66Met polymorphism and cognitive functioning in BD. METHODS: We performed a bibliographic search on PUBMED of all genetic studies investigating Val66Met modulation on cognitive performances in BD subjects. The inclusion criteria were met by nine studies, including a total amount of 897 BD subjects and 803 healthy controls. RESULTS: From the analysis of the existing literature emerged that a) Val allele in BD adults, but not in BD adolescents, was associated with better performances in selective cognitive domains including executive functions, verbal learning and memory; b) Met allele may negatively modulate the association between childhood trauma and performances in memory, verbal ability and verbal fluency tasks; c) Met allele may also negatively regulate structural abnormalities in cognitive cerebral structures; d) Val/Met carriers showed greater improvements in cognitive functions compared to Val/Val and Met/Met carriers. LIMITATIONS: Few genetic studies exploring the impact of Val66Met on cognition in BD. CONCLUSIONS: Val66Met polymorphism likely modulates cognitive functions in BD patients with complex gene-environment interactions and through potential modulations of cerebral structures. Further and larger genetic studies are required in order to detect association between BDNF polymorphism, BDNF levels, brain abnormalities and cognition in BD.

Pharmacological properties of cannabidiol in the treatment of psychiatric disorders: a critical overview.

Cannabidiol (CBD) represents a new promising drug due to a wide spectrum of pharmacological actions. In order to relate CBD clinical efficacy to its pharmacological mechanisms of action, we performed a bibliographic search on PUBMED about all clinical studies investigating the use of CBD as a treatment of psychiatric symptoms. Findings to date suggest that (a) CBD may exert antipsychotic effects in schizophrenia mainly through facilitation of endocannabinoid signalling and cannabinoid receptor type 1 antagonism; (b) CBD administration may exhibit acute anxiolytic effects in patients with generalised social anxiety disorder through modification of cerebral blood flow in specific brain sites and serotonin 1A receptor agonism; (c) CBD may reduce withdrawal symptoms and cannabis/tobacco dependence through modulation of endocannabinoid, serotoninergic and glutamatergic systems; (d) the preclinical pro-cognitive effects of CBD still lack significant results in psychiatric disorders. In conclusion, current evidences suggest that CBD has the ability to reduce psychotic, anxiety and withdrawal symptoms by means of several hypothesised pharmacological properties. However, further studies should include larger randomised controlled samples and investigate the impact of CBD on biological measures in order to correlate CBD's clinical effects to potential modifications of neurotransmitters signalling and structural and functional cerebral changes.

Acquired hepatocerebral degeneration (AHD): a peculiar neurological impairment in advanced chronic liver disease.

We discuss the case of a rare and often unrecognized neurologic syndrome, called Acquired Hepatocerebral Degeneration (AHD), observed in patients with advanced liver disease and portosystemic shunts. The clinical manifestations can be very heterogeneous and in our case included a combination of cerebellar and extrapyramidal signs, arisen in a period of few days. Brain Magnetic Resonance Imaging (MRI) showed, in T1-weighted images, diffuse bilateral hyper intensities in basal ganglia and biemispheric brain and cerebellar cortices, resembling paramagnetic deposits. No other neurological impairments, like stroke, infection or neoplasia, were found. It was excluded an episode of acute hepatic encephalopathy. We also ruled out Wilsonian degeneration, iron overload and autoimmune encephalitis and we lastly found high manganese levels as the possible cause of the brain paramagnetic deposits. Even though either serum Mn determination or its accumulation in the brain are not specific for AHD, however the chronic and progressively worsening of the neurological manifestations advocated a degenerative condition, possibly AHD. We finally opted for the early restoration of liver function by OLT, and we observed complete clinical symptoms' resolution and partial MRI reversal after a follow up of 6 months.

The role of genes and environment on brain alterations in Major Depressive Disorder: A review of twin studies: Special Section on "Translational and Neuroscience Studies in Affective Disorders". Section Editor, Maria Nobile MD, PhD. This Section of JAD focuses on the relevance of translational and neuroscience studies in providing a better understanding of the neural basis of affective disorders. The main aim is to briefly summaries relevant research findings in clinical neuroscience with particular regards to specific innovative topics in mood and anxiety disorders.

BACKGROUND: Although it has been consistently reported the important role of genetic and environmental risk factors on structural and functional alterations in Major Depressive Disorder (MDD), the mechanism and the magnitude of the interactions between specific genetic and/or environmental risk factors on brain structures in this disabling disorder are still elusive. Therefore, in the last two decades an increased interest has been devoted to neuroimaging investigations on monozygotic and dizygotic twin samples mainly because their intrinsic characteristics may help to separate the effects of genetic and environmental risk factors on clinical phenotypes, including MDD. METHODS: In this context, the present review summarizes results from structural and functional Magnetic Resonance Imaging studies that investigated twin samples in correlation with MDD. RESULTS: Overall the results confirmed that a) MDD is characterized by significant alterations in selective brain areas presiding over emotion recognition and evaluation, including amygdala, insula and prefrontal cortices, and b) both genetic and environmental risk factors play a key role in the pathophysiology of this disorder. LIMITATIONS: Few MRI studies exploring MDD in twin samples. CONCLUSIONS: The specific contribution of both aspects is still not fully elucidated especially because genes and environment have an impact on the same brain areas, which are particularly vulnerable in MDD. Expansion of the current twin sample sizes would help to clearly establish the potential relationship between risk factors and the development of MDD.

Structural and metabolic differentiation between bipolar disorder with psychosis and substance-induced psychosis: An integrated MRI/PET study.

BACKGROUND: Bipolar disorder (BD) may be characterized by the presence of psychotic symptoms and comorbid substance abuse. In this context, structural and metabolic dysfunctions have been reported in both BD with psychosis and addiction, separately. In this study, we aimed at identifying neural substrates differentiating psychotic BD, with or without substance abuse, versus substance-induced psychosis (SIP) by coupling, for the first time, magnetic resonance imaging (MRI) and positron emission tomography (PET). METHODS: Twenty-seven BD type I psychotic patients with (n=10) or without (n=17) substance abuse, 16 SIP patients and 54 healthy controls were enrolled in this study. 3T MRI and 18-FDG-PET scanning were acquired. RESULTS: Gray matter (GM) volume and cerebral metabolism reductions in temporal cortices were observed in all patients compared to healthy controls. Moreover, a distinct pattern of fronto-limbic alterations were found in patients with substance abuse. Specifically, BD patients with substance abuse showed volume reductions in ventrolateral prefrontal cortex, anterior cingulate, insula and thalamus, whereas SIP patients in dorsolateral prefrontal cortex and posterior cingulate. Common alterations in cerebellum, parahippocampus and posterior cingulate were found in both BD with substance abuse and SIP. Finally, a unique pattern of GM volumes reduction, with concomitant increased of striatal metabolism, were observed in SIP patients. CONCLUSIONS: These findings contribute to shed light on the identification of common and distinct neural markers associated with bipolar psychosis and substance abuse. Future longitudinal studies should explore the effect of single substances of abuse in patients at the first-episode of BD and substance-induced psychosis.

Cognitive remediation and functional improvement in schizophrenia: Is it a matter of size?

BACKGROUND: Cognitive Remediation represents the best available tool to treat cognitive deficits in schizophrenia and evidence suggests an effect also on global functioning. However, the relationship between cognitive and functional improvement is not yet fully elucidated: do cognitive changes need to be of a definite size and/or encompass a certain number of domains in order to impact on daily functioning? This study aims to explore the role of cognitive improvement, evaluated both quantitatively and qualitatively through the use of Italian equivalent scores, on the daily functioning of patients. As secondary goal, the influence of demographic, clinical and neuropsychological variables on functional outcome was also systematically investigated. METHODS: One hundred subjects with a diagnosis of schizophrenia underwent 36 sessions of Cognitive Remediation and were evaluated at baseline and after the training with the Brief Assessment of Cognition in Schizophrenia and the Quality of Life Scale. RESULTS: A total of 70% of patients improved in at least one cognitive domain and over 50% obtained a normalized score. Among the clinical and neurocognitive factors examined, the only significant predictor of quality of life's improvement was the proportion of cognitive functions that reached an equivalent score of "normal". CONCLUSIONS: This study suggests that improvements in daily functioning depend on the achievement of a cognitive profile as much as possible "normal", harmonious and balanced, supporting the idea that a qualitative leap in cognition is needed in order to gain an advantage in real life activities.

Combined social cognitive and neurocognitive rehabilitation strategies in schizophrenia: neuropsychological and psychopathological influences on Theory of Mind improvement.

BACKGROUND: Neurocognitive and social cognitive impairments represent important treatment targets in schizophrenia, as they are significant predictors of functional outcome. Different rehabilitative interventions have recently been developed, addressing both cognitive and psychosocial domains. Although promising, results are still heterogeneous and predictors of treatment outcome are not yet identified. In this study we evaluated the efficacy of two newly developed social cognitive interventions, respectively based on the use of videotaped material and comic strips, combined with domain-specific Cognitive Remediation Therapy (CRT). We also analysed possible predictors of training outcome, including basal neurocognitive performance, the degree of cognitive improvement after CRT and psychopathological variables. METHOD: Seventy-five patients with schizophrenia treated with CRT, were randomly assigned to: social cognitive training (SCT) group, Theory of Mind Intervention (ToMI) group, and active control group (ACG). RESULTS: ANOVAs showed that SCT and ToMI groups improved significantly in ToM measures, whereas the ACG did not. We reported no influences of neuropsychological measures and improvement after CRT on changes in ToM. Both paranoid and non-paranoid subjects improved significantly after ToMI and SCT, without differences between groups, despite the better performance in basal ToM found among paranoid patients. In the ACG only non-paranoid patients showed an improvement in non-verbal ToM. CONCLUSION: Results showed that both ToMI and SCT are effective in improving ToM in schizophrenia with no influence of neuropsychological domains. Our data also suggest that paranoid symptoms may discriminate between different types of ToM difficulties in schizophrenia.