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Major depression and obsessive–compulsive disorder (OCD) are now recognized among the most frequent psychiatric disorders, affecting 16–17% and 2–3% of the general population, respectively. They are commonly characterized by: i) a high level of psychiatric and somatic comorbidities; ii) a recurrence or chronic profile; and iii) a negative impact on daily functions, thereby leading to a profound impairment of quality of life. Despite significant advances in pharmacological and psychological therapies over the last decades, unsuccessful responses to standard treatment strategies are classically observed in approximately 20–30% of cases. Therefore, there is a significant need for improving the pathophysiological knowledge through a better identification of environmental, clinical, psychological, genetic, anatomical, and biological determinants, specifically implied in the development, the phenotypic expression, and the relapsing course and/or contributing to the therapeutic failure in major depression and OCD. We are convinced that this research approach is particularly relevant providing critical support for the promotion of innovative treatment alternatives potentially useful for the management of resistant forms of major depression and OCD.
n/a --- i-health --- olfaction --- psychiatry --- obsession --- obsessive–compulsive disorder --- transcranial direct current stimulation --- ecological momentary assessment --- Streptococcus pyogenes --- cytokines --- immunology --- compulsion --- cognition --- nosography --- pediatric autoimmune neuropsychological disorders associated with streptococcal infection (PANDAS) --- symptoms networks --- brain stimulation --- neuromodulation --- OCD --- m-health --- categorizations --- ecological momentary intervention --- fictional case study --- pediatric acute-onset neuropsychiatric syndrome (PANS) --- Toxoplasma gondii --- tDCS --- therapeutic tool --- depression --- markers --- quality of life --- Tourette syndrome --- Obsessive-compulsive disorder. --- Depression, Mental. --- Dejection --- Depression, Unipolar --- Depressive disorder --- Depressive psychoses --- Melancholia --- Mental depression --- Unipolar depression --- Affective disorders --- Neurasthenia --- Neuroses --- Manic-depressive illness --- Melancholy --- Sadness --- Compulsive disorder --- Fixed ideas --- Obsession (Psychology) --- Obsessive-compulsive neuroses --- Obsessive-compulsive neurosis --- OCD (Disease) --- Compulsive behavior --- Bipolar disorder --- obsessive-compulsive disorder
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Mental health disorders such as depression, anxiety, and other stress-related disorders are highly prevalent and even increasing in incidence globally, while access to evidence-based therapy remains limited. Worryingly, health care budgets are further restrained, thus limiting the availability of mental health care even more. Innovative technologies aiming to increase scalability, accessibility, and cost-efficiency of evidence-based mental health treatment, or target hard-to-reach populations, show promising solutions toward preventing or treating such disorders. However, despite considerable progress in this area, more research into innovative technologies and its implementation in mental health care is needed to treat people with—or prevent—mental health disorders. The present Special Issue aims to provide an overview of the latest innovative technological advances in the screening and treatment of mental health as well as their implications for mental health care. Both original research and review papers will inform researchers and clinicians with recent knowledge on innovative technology in the area of psychological treatments of common mental disorders and e-mental health.
Medicine --- major depressive disorder --- ecological momentary assessment --- ecological momentary intervention --- delivery --- implementation --- internet-delivered cognitive behaviour therapy --- psychological treatment --- routine care --- depression --- anxiety disorders --- adjustment disorder --- e-mental health --- self-guided intervention --- disorders specifically related to stress --- cognitive behavioral therapy --- blended treatment --- depressive disorder --- therapists’ perspective --- affective disorders --- burden --- adherence --- Keywords major depressive disorder --- blended cognitive behavioral treatment --- specialized mental health care --- working alliance --- randomized controlled trial --- personalized advantage index --- CBT --- treatment selection --- Bayesian model averaging --- acrophobia --- cognitive behaviour therapy --- mobile app --- virtual reality --- usage data --- n/a --- therapists' perspective
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Mental health disorders such as depression, anxiety, and other stress-related disorders are highly prevalent and even increasing in incidence globally, while access to evidence-based therapy remains limited. Worryingly, health care budgets are further restrained, thus limiting the availability of mental health care even more. Innovative technologies aiming to increase scalability, accessibility, and cost-efficiency of evidence-based mental health treatment, or target hard-to-reach populations, show promising solutions toward preventing or treating such disorders. However, despite considerable progress in this area, more research into innovative technologies and its implementation in mental health care is needed to treat people with—or prevent—mental health disorders. The present Special Issue aims to provide an overview of the latest innovative technological advances in the screening and treatment of mental health as well as their implications for mental health care. Both original research and review papers will inform researchers and clinicians with recent knowledge on innovative technology in the area of psychological treatments of common mental disorders and e-mental health.
major depressive disorder --- ecological momentary assessment --- ecological momentary intervention --- delivery --- implementation --- internet-delivered cognitive behaviour therapy --- psychological treatment --- routine care --- depression --- anxiety disorders --- adjustment disorder --- e-mental health --- self-guided intervention --- disorders specifically related to stress --- cognitive behavioral therapy --- blended treatment --- depressive disorder --- therapists’ perspective --- affective disorders --- burden --- adherence --- Keywords major depressive disorder --- blended cognitive behavioral treatment --- specialized mental health care --- working alliance --- randomized controlled trial --- personalized advantage index --- CBT --- treatment selection --- Bayesian model averaging --- acrophobia --- cognitive behaviour therapy --- mobile app --- virtual reality --- usage data --- n/a --- therapists' perspective
Choose an application
Mental health disorders such as depression, anxiety, and other stress-related disorders are highly prevalent and even increasing in incidence globally, while access to evidence-based therapy remains limited. Worryingly, health care budgets are further restrained, thus limiting the availability of mental health care even more. Innovative technologies aiming to increase scalability, accessibility, and cost-efficiency of evidence-based mental health treatment, or target hard-to-reach populations, show promising solutions toward preventing or treating such disorders. However, despite considerable progress in this area, more research into innovative technologies and its implementation in mental health care is needed to treat people with—or prevent—mental health disorders. The present Special Issue aims to provide an overview of the latest innovative technological advances in the screening and treatment of mental health as well as their implications for mental health care. Both original research and review papers will inform researchers and clinicians with recent knowledge on innovative technology in the area of psychological treatments of common mental disorders and e-mental health.
Medicine --- major depressive disorder --- ecological momentary assessment --- ecological momentary intervention --- delivery --- implementation --- internet-delivered cognitive behaviour therapy --- psychological treatment --- routine care --- depression --- anxiety disorders --- adjustment disorder --- e-mental health --- self-guided intervention --- disorders specifically related to stress --- cognitive behavioral therapy --- blended treatment --- depressive disorder --- therapists' perspective --- affective disorders --- burden --- adherence --- Keywords major depressive disorder --- blended cognitive behavioral treatment --- specialized mental health care --- working alliance --- randomized controlled trial --- personalized advantage index --- CBT --- treatment selection --- Bayesian model averaging --- acrophobia --- cognitive behaviour therapy --- mobile app --- virtual reality --- usage data --- major depressive disorder --- ecological momentary assessment --- ecological momentary intervention --- delivery --- implementation --- internet-delivered cognitive behaviour therapy --- psychological treatment --- routine care --- depression --- anxiety disorders --- adjustment disorder --- e-mental health --- self-guided intervention --- disorders specifically related to stress --- cognitive behavioral therapy --- blended treatment --- depressive disorder --- therapists' perspective --- affective disorders --- burden --- adherence --- Keywords major depressive disorder --- blended cognitive behavioral treatment --- specialized mental health care --- working alliance --- randomized controlled trial --- personalized advantage index --- CBT --- treatment selection --- Bayesian model averaging --- acrophobia --- cognitive behaviour therapy --- mobile app --- virtual reality --- usage data
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