Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
• Subjects: Medicine and Nursing; Pharmacology; adolescence; affective disorder; affective temperaments; aging; alexithymia; assessment; attachment; Attentional Boost Effect; Autism Spectrum Disorders (ASD); bipolar disorder; bipolar disorders; body image; cerebellum; childhood apraxia of speech; children; classification; cognitive decline; COVID-19; COVID-19 vaccine; criminal behaviour; depression; depressive disorders; diadochokinesia; emotional dysregulation; emotional eating; emotional regulation; epidemiological survey; euthymic patients; exercise addiction; fatherhood; forgetting; FreeSurfer; frequency data; friend and family interview; gambling disorder; gender; genetic variants; heart rate variability; high-risk group; integration; Magnetic Resonance Imaging (MRI); mentalization; microbiota; motor control; multilevel model; multiple risk factors; n/a; neuroanatomy; neurotransmitter system; neurovisceral integration model; nomogram; patient health questionnaire; perinatal period; polyvagal theory; prefrontal functions; prevention; psychiatric disorders; psychological distress; psychopathologies; psychopathology; recognition memory; screening; self-esteem; self-report measure; sensory motor performance; social isolation; time perception; TMAU; vaccine acceptance; vaccine intention; young adults; youth
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 The aim of this Special Issue is to collect valuable contributions from scientists worldwide working on the role that biological, behavioral, and cognitive markers can have in predicting the onset of neuropsychiatric disorders. We were able to collect 13 original articles and two reviews on this topic. The results published in this Special Issue could provide significant support in pre-clinical phases for the identification of vulnerability factors, to better understand the course of the illness, and to predict its outcome, as well as aiding clinicians in the therapeutic decision-making process.