1.

Record Nr.

UNINA990000122890403321

Autore

Cantone, Gaetana

Titolo

Napoli barocca / Gaetana Cantone

Pubbl/distr/stampa

Roma ; Bari, : Laterza, 1993

ISBN

88-420-3986-1

Edizione

[2. ed.]

Descrizione fisica

252 p. : ill. ; 25 cm

Collana

Grandi opere

Disciplina

720.945 731

711.409

Locazione

FINBC

FARBC

FLFBC

Collocazione

13 P 11 08

SEZ.NA B 1811

711.4573 CANG 01

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910431347103321

Titolo

Behavioral Neurobiology of Suicide and Self Harm / / edited by Enrique Baca-Garcia

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-57574-8

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (X, 245 p. 1 illus.)

Collana

Current Topics in Behavioral Neurosciences, , 1866-3389 ; ; 46

Disciplina

701.05

616.858445

Soggetti

Neurochemistry

Bioinformatics

Medical genetics

Medical informatics

Public health

Psychiatry

Medical Genetics

Health Informatics

Public Health

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Why Are Suicide Rates Increasing in the United States? Towards a Multilevel Reimagination of Suicide Prevention?- Barriers for the Research, Prevention, and Treatment of Suicidal Behavior -- The Role of Epigenetic Dysregulation in Suicidal Behaviors -- Suicide: Genetics and Heritability -- Toward a Biosignature of Suicide Reattempt -- Sex, Gender, and Suicidal Behavior -- Neurocognition and the Suicidal Process -- Lipids and Suicide Risk -- Glutamine and New Pharmacological Targets to Treat Suicidal Ideation -- The Role of Opiates in Social Pain and Suicidal Behavior -- Sleep Disturbances and Suicidal Behavior -- Ecological Momentary Assessment for Monitoring Risk of Suicide Behavior.

Sommario/riassunto

This book reviews the recent research into biological aspects of suicide behavior and outlines each of the varied, recent approaches to prevent



suicide. Suicidal behavior, perhaps, is the most complex behavior that combines biological, social, and psychological factors. A new frontier and new opportunities are opening with the technologies of data acquisition and data analysis. Personalized models based on digital phenotype could provide promising strategies for preventing suicide.