Publications by authors named "Alessandro Alcibiade"

According to the cortico-striato-thalamo-cortical (CSTC) model of obsessive-compulsive disorder (OCD), the striatum plays a primary role in its neuropathophysiology. Hypothesising that volumetric alterations are more pronounced in subcortical areas of patients within the CSTC circuit compared to healthy controls (HCs), we conducted a coordinate-based meta-analysis of magnetic resonance imaging (MRI) studies. We included 26 whole-brain MRI studies, comprising 3,010 subjects: 1,508 patients (788 men, 720 women; mean age: 30.

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Article Synopsis
  • Late-life depression (LLD) is a common mental disorder among the elderly, linked to cognitive decline and higher mortality rates, making it a pressing public health concern.
  • A meta-analysis reviewed 19 studies involving 844 participants, revealing significant brain activation differences between LLD patients and healthy controls in specific regions related to emotional and cognitive processing.
  • The findings highlight altered brain functioning in areas of the cortico-limbic-striatal network in LLD, suggesting potential targets for more effective prevention and treatment strategies.
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There is much debate about continuing antipsychotic medication in patients who need it when they become pregnant because benefits must be weighed against potential teratogenic and malformation effects related to antipsychotics themselves. To address this, we conducted a systematic review on the PubMed, PsycINFO and CINHAL databases and the ClinicalTrials.gov register using the following strategy: (toxicity OR teratogenicity OR malformation* OR "birth defect*" OR "congenital abnormality" OR "congenital abnormalities" OR "brain changes" OR "behavioral abnormalities" OR "behavioral abnormalities") AND antipsychotic* AND (pregnancy OR pregnant OR lactation OR delivery OR prenatal OR perinatal OR post-natal OR puerperium) on September 27, 2023.

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Traditional medicine and biomedical sciences are reaching a turning point because of the constantly growing impact and volume of Big Data. Machine Learning (ML) techniques and related algorithms play a central role as diagnostic, prognostic, and decision-making tools in this field. Another promising area becoming part of everyday clinical practice is personalized therapy and pharmacogenomics.

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Background: The objective of this study was to investigate the rs1800497, rs1799732, rs1801028, rs6280, and rs6314, rs7997012, and rs6311 single-nucleotide polymorphism (SNP) correlations with resistance to second-generation antipsychotics (SGAs) in a real-world sample of patients with treatment-resistant mental disorders.

Methods: We divided 129 participants into a high treatment resistance (HTR) group (current treatment with two SGAs, or clozapine, or classic neuroleptics for a failure of previous SGAs trials) and a low treatment resistance (LTR) group (current treatment with one atypical antipsychotic). We used Next-Generation Sequencing on DNA isolated from peripheral blood samples to analyze the polymorphisms.

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Autism spectrum disorders (ASD) are neurodevelopmental disorders correlated to various neuroanatomical modifications. We aimed to identify neuroanatomical changes assessed in magnetic resonance imaging (MRI) studies of autism spectrum disorder (ASD) through Activation Likelihood Estimate (ALE) meta-analysis. We included 19 peer-reviewed magnetic resonance imaging (MRI) studies that analyzed cortical volume in patients with ASD compared to healthy control subjects (HCs).

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