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Autore: | Costanzi Marco |
Titolo: | Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases |
Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica: | 1 electronic resource (242 p.) |
Soggetto topico: | Medicine |
Pharmacology | |
Soggetto non controllato: | Autism Spectrum Disorders (ASD) |
childhood apraxia of speech | |
children | |
Magnetic Resonance Imaging (MRI) | |
neuroanatomy | |
FreeSurfer | |
affective disorder | |
perinatal period | |
fatherhood | |
prevention | |
gender | |
screening | |
TMAU | |
psychiatric disorders | |
microbiota | |
Attentional Boost Effect | |
bipolar disorder | |
euthymic patients | |
recognition memory | |
genetic variants | |
criminal behaviour | |
frequency data | |
gambling disorder | |
attachment | |
adolescence | |
friend and family interview | |
forgetting | |
neurotransmitter system | |
psychopathologies | |
mentalization | |
self-report measure | |
multilevel model | |
integration | |
assessment | |
COVID-19 | |
young adults | |
social isolation | |
psychological distress | |
emotional eating | |
emotional dysregulation | |
depression | |
nomogram | |
patient health questionnaire | |
multiple risk factors | |
epidemiological survey | |
high-risk group | |
affective temperaments | |
depressive disorders | |
bipolar disorders | |
youth | |
heart rate variability | |
polyvagal theory | |
neurovisceral integration model | |
emotional regulation | |
psychopathology | |
prefrontal functions | |
exercise addiction | |
alexithymia | |
body image | |
self-esteem | |
COVID-19 vaccine | |
vaccine acceptance | |
vaccine intention | |
aging | |
cerebellum | |
classification | |
cognitive decline | |
diadochokinesia | |
motor control | |
sensory motor performance | |
time perception | |
Persona (resp. second.): | CostanziMarco |
Sommario/riassunto: | 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. |
Altri titoli varianti: | Predicting Psychopathological Onset |
Titolo autorizzato: | Predicting Psychopathological Onset: Early Signs of Neuropsychiatric Diseases |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910580206103321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |