- by Ulf JonssonCONCLUSIONS: iCBT as a complement to usual care for adult with depression may result in a small incremental effect, which potentially could be clinically important. Studies are lacking for several common disorders and for children, adolescents, and the elderly. More robust studies of long-term effects are also needed, to better inform clinical decision-making.
- by Lars-Göran ÖstCognitive behavioral therapy (CBT) has strong research support for obsessive-compulsive disorder (OCD). However, less is known about how CBT performs when delivered in routine clinical care. A systematic review and meta-analysis was conducted of CBT for OCD in adults treated in routine clinical care. Ovid MEDLINE, Embase OVID, and PsycINFO were systematically searched for studies published until July 2021. The effectiveness of CBT, methodological quality, and moderators of treatment outcome were…
- by Michele PolettiCONCLUSIONS: On the ground of established common subjective experience of SP and premorbid neurodevelopmental features, we hypothesized an explanatory model for OCD, which considers the possible pathophysiological role for altered corollary discharge and enhanced error detection in the neurodevelopment of SP and obsessions. SP may represent the subjective experiential resonance of an individual history of persistently inaccurate sensory predictions, whereas accompanying manifestations, such as…
- by James J GattusoPsychedelics are a unique class of drug which commonly produce vivid hallucinations as well as profound psychological and mystical experiences. A grouping of interconnected brain regions characterised by increased temporal coherence at rest have been termed the 'Default Mode Network' (DMN). The DMN has been the focus of numerous studies assessing its role in self-referencing, mind wandering and autobiographical memories. Altered connectivity in the DMN has been associated with a range of…
- by Lingyun MaoCONCLUSION: Patients with OCD have significant improvement in symptoms of obsessive-compulsive disorder and depression when ERP is combined with medication, however, not enough to prove that DCS can enhance ERP effectiveness.
- by Francesca StrappiniBACKGROUND: The therapeutic alliance has been recognized as one of the most researched key elements of treatment across different therapeutic approaches and diagnostic domains. Despite its importance, our current understanding of its clinical relevance in patients with obsessive-compulsive disorder (OCD) is still debated. This study aimed to examine empirical evidence on the effect of alliance on treatment outcomes in Cognitive Behavioral Therapy (CBT) in patients with OCD in a systematic review…
- by Debkumar PalAnxiety is one of the most common mental disorders in the adolescent age group due to both physiological and psychological changes along with substance use in this age group. Generalized anxiety disorder, obsessive-compulsive disorder (OCD), panic disorder, post-traumatic stress disorder (PTSD), and social phobia (or social anxiety disorder) constitute anxiety disorders as per the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria. In India, the National Mental…
- by Luca AndrioloCONCLUSIONS: Several classifications are available, with ICRS being the most used system over the time period studied. Arthroscopy allows to confirm lesion stability, but noninvasive imaging approaches are the first line to guide patient management. Among these, radiographic classifications are still widely used, despite being partially superseded by MRI, because of its capability to detect the earliest disease stages and to distinguish stable from unstable lesions, and thus to define the most…
- by Maral MelkonianObsessive-compulsive disorder (OCD) is a common psychiatric condition that results in significant distress and impairment, and high societal costs. OCD is widely considered to be a chronic condition, however, our understanding of the chronicity of the disorder, and the incidence of spontaneous remission, has largely relied on longitudinal studies of individuals who have received treatment. The aim of the current study is to examine symptom improvement and rate of spontaneous remission in…
- by Sandra VieiraCognitive-behavioural therapy (CBT) is the first line of treatment for several mental health disorders. However, not all patients show clinical improvements after receiving CBT. Machine learning allows inferences at the individual level and therefore is a promising approach for predicting who will and will not benefit from CBT. A comprehensive literature search was conducted to identify all studies that used machine learning to predict clinical response to CBT. A random-effects meta-analysis of…
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