17 Result(s)
within
Giuseppe Delvecchio
-
Article
Open AccessMachine learning and the prediction of suicide in psychiatric populations: a systematic review
Machine learning (ML) has emerged as a promising tool to enhance suicidal prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric populations, a formal psychiatric diagnosis eme...
-
Article
Open AccessRight frontal cingulate cortex mediates the effect of prenatal complications on youth internalizing behaviors
Prenatal and perinatal complications represent well-known risk factors for the future development of psychiatric disorders. Such influence might become manifested during childhood and adolescence, as key perio...
-
Article
A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup
Psychosis onset is a transdiagnostic event that leads to a range of psychiatric disorders, which are currently diagnosed through clinical observation. The integration of multimodal biological data could reveal...
-
Living Reference Work Entry In depth
Brain Imaging in Psychiatry
In recent years, neuroimaging techniques in psychiatry have gained increasing importance as affordable and non-invasive assessment tools of value in both research and clinical contexts. Contemporary neuroimagi...
-
Article
Open AccessCorrection to: The Impact of Lithium on Brain Function in Bipolar Disorder: An Updated Review of Functional Magnetic Resonance Imaging Studies
-
Article
Open AccessThe Impact of Lithium on Brain Function in Bipolar Disorder: An Updated Review of Functional Magnetic Resonance Imaging Studies
Lithium remains a gold standard treatment for bipolar disorder (BD), and functional magnetic resonance imaging (fMRI) studies have contributed to clarifying its impact on neural circuitries in affected individ...
-
Chapter
Brain Network Dysfunction in Bipolar Disorder: Evidence from Structural and Functional MRI Studies
Bipolar disorder (BD) is a complex psychiatric illness characterized by recurrent changes of mood, thought and behavior. Moreover, BD exhibits heterogeneous clinical features and variable degrees of cognitive ...
-
Article
A Critical Review on Structural Neuroimaging Studies in BD: a Transdiagnostic Perspective from Psychosis to Fronto-Temporal Dementia
In the last decades, many neuroimaging studies have investigated the brain structural deficits associated with the pathophysiology of Bipolar Disorder (BD). Notably, the available literature identified the pre...
-
Chapter
Neuroimaging and Cognition of Early Traumatic Experiences
In the last decades, the effects of traumatic experiences on brain development have been extensively studied, especially because early adversities in the life of a child have been shown to have detrimental eff...
-
Article
Correction to: Cingulate abnormalities in bipolar disorder relate to gender and outcome: a region-based morphometry study
In the original publication of the article, the title was incorrect. The correct title should read as given below.
-
Article
Cingulate abnormalities in bipolar disorder relate to gender and outcome: a voxel-based morphometry study
Structural magnetic resonance imaging (MRI) studies reported gray matter (GM) loss in bipolar disorder (BD) in cingulate cortices, key regions subserving emotional regulation and cognitive functions in humans....
-
Protocol
Voxel-Based Morphometry Imaging Studies in Major Depression
Major depressive disorder is a frequent psychiatric illness with increasing incidence and heterogeneous course, which affects all the adults’ lifespan. Clinical outcome and treatment response can vary a lot am...
-
Article
Open AccessThe ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutio...
-
Chapter
A Fuzzy Measure of Satisfaction for University Education as a Key for Employment
In this paper, we propose a fuzzy approach to measure the degree of satisfaction of graduates on the suitability of university education for working purposes. The indicators proposed come from two factors: the...
-
Chapter and Conference Paper
A Hierarchical Evolutionary Algorithm with Noisy Fitness in Structural Optimization Problems
The authors propose a hierarchical evolutionary algorithm (HEA) to solve structural optimization problems. The HEA is composed by a lower level evolutionary algorithm (LLEA) and a higher level evolutionary alg...
-
Chapter
A New Method for Optimizing the Designing of Grounding Grids
In the various designing steps of a grounding grid, the grids are gradually chosen by the designer according to his experience. A method for choosing, in a quite automatic way, the various grids and so for spe...
-
Chapter
A Genetic Algorithm Method for Determining the Maximum Touch Voltage Generated by a Grounding System
The Authors suggest a new method for quickly determining the maximum touch voltage generated by a grounding system leaking a known current. The touch voltages in the points of the soil surface are calculated b...
