Correlation Engine 2.0
Clear Search sequence regions


  • ACC (4)
  • across (13)
  • adapt (2)
  • adult (2)
  • agoraphobia (8)
  • algorithm (2)
  • amygdala (8)
  • anhedonia (3)
  • appear (3)
  • autism (6)
  • basal ganglia (2)
  • behavior (6)
  • bipolar disorder (3)
  • blood (18)
  • brain (13)
  • cases (3)
  • categories (10)
  • cellular (2)
  • childhood (9)
  • circadian rhythms (2)
  • claustrophobia (1)
  • cluster (2)
  • cognitive (18)
  • cognitive functions (5)
  • concepts (2)
  • conduct (2)
  • consent form (2)
  • contains (3)
  • cortisol (1)
  • crisis (2)
  • dementia (1)
  • depends (6)
  • diagnosis (10)
  • differences size (1)
  • direct (3)
  • disorder mental (1)
  • disorder panic (2)
  • dsm iv (5)
  • echo planar imaging (8)
  • electrocardiogram (5)
  • electrodes (4)
  • ethylenediamine tetraacetic acid (2)
  • fall (4)
  • family (3)
  • fast (6)
  • fear (25)
  • flash (1)
  • flight (1)
  • forebrain (2)
  • free (1)
  • friends (3)
  • function (7)
  • govern (2)
  • guilt (3)
  • habit (2)
  • heart rate (11)
  • hippocampus (2)
  • household (2)
  • human (5)
  • hypersomnia (1)
  • hypothalamus (2)
  • icd 10 (3)
  • impairment (5)
  • inform (1)
  • interest (3)
  • inventory (9)
  • larynx (2)
  • life events (4)
  • low (2)
  • magnet (17)
  • memory (24)
  • mental disorders (54)
  • mental health (5)
  • mental health problems (1)
  • micrornas (3)
  • neglect (1)
  • nervous system (6)
  • noise (4)
  • noise ear (2)
  • panic (6)
  • panic attacks (2)
  • panic disorder (3)
  • parents (2)
  • partial (3)
  • patient transport (1)
  • patients (43)
  • pattern symptoms (2)
  • perform tasks (2)
  • period (2)
  • peripheral blood mononuclear cells (4)
  • persist (3)
  • personality (12)
  • phase (9)
  • phenotypes (3)
  • phobia (3)
  • physician (3)
  • plan (4)
  • plasma (2)
  • plasma (2)
  • post- traumatic stress disorder (2)
  • postpartum period (1)
  • pregnancy (1)
  • probability (8)
  • problem (5)
  • processes (17)
  • products (2)
  • profiles (2)
  • projects (2)
  • protocol (4)
  • psychologist (4)
  • quality data (2)
  • questionnaires (10)
  • reaction time (2)
  • read (7)
  • reasons (2)
  • reflect (3)
  • research personnel (2)
  • respond (6)
  • reward (29)
  • rich (2)
  • rna (8)
  • safety (3)
  • saliva (3)
  • scale (40)
  • schizophrenia (5)
  • screen (10)
  • sexual (3)
  • signals (3)
  • skin (13)
  • sleep (6)
  • social (26)
  • social behavior (1)
  • social network (7)
  • social phobia (1)
  • spouses (3)
  • status (10)
  • stem cells (3)
  • still (3)
  • stimulus (8)
  • stress disorder (11)
  • stress test (16)
  • study time (5)
  • systems limbic (2)
  • taxonomy (3)
  • trauma (21)
  • volunteers (4)
  • weight gain (1)
  • world health (2)
  • wrist (2)
  • youth (1)
  • Sizes of these terms reflect their relevance to your search.

    A major research finding in the field of Biological Psychiatry is that symptom-based categories of mental disorders map poorly onto dysfunctions in brain circuits or neurobiological pathways. Many of the identified (neuro) biological dysfunctions are "transdiagnostic", meaning that they do not reflect diagnostic boundaries but are shared by different ICD/DSM diagnoses. The compromised biological validity of the current classification system for mental disorders impedes rather than supports the development of treatments that not only target symptoms but also the underlying pathophysiological mechanisms. The Biological Classification of Mental Disorders (BeCOME) study aims to identify biology-based classes of mental disorders that improve the translation of novel biomedical findings into tailored clinical applications. BeCOME intends to include at least 1000 individuals with a broad spectrum of affective, anxiety and stress-related mental disorders as well as 500 individuals unaffected by mental disorders. After a screening visit, all participants undergo in-depth phenotyping procedures and omics assessments on two consecutive days. Several validated paradigms (e.g., fear conditioning, reward anticipation, imaging stress test, social reward learning task) are applied to stimulate a response in a basic system of human functioning (e.g., acute threat response, reward processing, stress response or social reward learning) that plays a key role in the development of affective, anxiety and stress-related mental disorders. The response to this stimulation is then read out across multiple levels. Assessments comprise genetic, molecular, cellular, physiological, neuroimaging, neurocognitive, psychophysiological and psychometric measurements. The multilevel information collected in BeCOME will be used to identify data-driven biologically-informed categories of mental disorders using cluster analytical techniques. The novelty of BeCOME lies in the dynamic in-depth phenotyping and omics characterization of individuals with mental disorders from the depression and anxiety spectrum of varying severity. We believe that such biology-based subclasses of mental disorders will serve as better treatment targets than purely symptom-based disease entities, and help in tailoring the right treatment to the individual patient suffering from a mental disorder. BeCOME has the potential to contribute to a novel taxonomy of mental disorders that integrates the underlying pathomechanisms into diagnoses. Retrospectively registered on June 12, 2019 on ClinicalTrials.gov (TRN: NCT03984084).

    Citation

    Tanja M Brückl, Victor I Spoormaker, Philipp G Sämann, Anna-Katharine Brem, Lara Henco, Darina Czamara, Immanuel Elbau, Norma C Grandi, Lee Jollans, Anne Kühnel, Laura Leuchs, Dorothee Pöhlchen, Maximilian Schneider, Alina Tontsch, Martin E Keck, Leonhard Schilbach, Michael Czisch, Susanne Lucae, Angelika Erhardt, Elisabeth B Binder. The biological classification of mental disorders (BeCOME) study: a protocol for an observational deep-phenotyping study for the identification of biological subtypes. BMC psychiatry. 2020 May 11;20(1):213

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 32393358

    View Full Text