human | Q5 |
P213 | ISNI | 0000000362077970 |
P1015 | NORAF ID | 11020247 |
P496 | ORCID iD | 0000-0003-3579-0789 |
P214 | VIAF ID | 222292584 |
P735 | given name | Trine | Q1516944 |
Trine | Q1516944 | ||
P106 | occupation | researcher | Q1650915 |
P21 | sex or gender | female | Q6581072 |
Q43604575 | Additive effects of childhood abuse and cannabis abuse on clinical expressions of bipolar disorders |
Q94559688 | Affective lability across psychosis spectrum disorders |
Q45770911 | Affective lability in patients with bipolar disorders is associated with high levels of childhood trauma |
Q39147996 | Affective lability mediates the association between childhood trauma and suicide attempts, mixed episodes and co-morbid anxiety disorders in bipolar disorders |
Q44414139 | Age at onset of bipolar disorder in a Norwegian catchment area sample |
Q39218980 | Alcohol use disorders are associated with increased affective lability in bipolar disorder |
Q38474874 | An association between affective lability and executive functioning in bipolar disorder |
Q47860739 | An exploration of metacognitive beliefs and thought control strategies in bipolar disorder |
Q98784366 | Brain Age Prediction Reveals Aberrant Brain White Matter in Schizophrenia and Bipolar Disorder: A Multisample Diffusion Tensor Imaging Study |
Q40348686 | Cannabis use disorder is associated with greater illness severity in tobacco smoking patients with bipolar disorder |
Q48312204 | Cannabis use in first-treatment bipolar I disorder: relations to clinical characteristics. |
Q41037970 | Cannabis use is associated with 3years earlier onset of schizophrenia spectrum disorder in a naturalistic, multi-site sample (N=1119). |
Q47722079 | Cerebellar volume and cerebellocerebral structural covariance in schizophrenia: a multisite mega-analysis of 983 patients and 1349 healthy controls |
Q90814947 | Childhood maltreatment and polygenic risk in bipolar disorders |
Q35068505 | Continued cannabis use at one year follow up is associated with elevated mood and lower global functioning in bipolar I disorder |
Q55983721 | Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium |
Q47812890 | Course of neurocognitive function in first treatment bipolar I disorder: One-year follow-up study |
Q50672499 | Decreased self-reported arousal in schizophrenia during aversive picture viewing compared to bipolar disorder and healthy controls. |
Q40223824 | Delayed sleep phase: An important circadian subtype of sleep disturbance in bipolar disorders |
Q46857400 | Differences in prevalence and patterns of substance use in schizophrenia and bipolar disorder |
Q36148506 | Disintegration of Sensorimotor Brain Networks in Schizophrenia |
Q92880329 | Distinct structural brain circuits indicate mood and apathy profiles in bipolar disorder |
Q47886957 | Duration of untreated illness in first-treatment bipolar I disorder in relation to clinical outcome and cannabis use. |
Q34160853 | Excessive cannabis use is associated with earlier age at onset in bipolar disorder |
Q33526859 | Excessive substance use in bipolar disorder is associated with impaired functioning rather than clinical characteristics, a descriptive study |
Q99569361 | Heart rate variability is associated with disease severity in psychosis spectrum disorders |
Q44021827 | High prevalence of childhood trauma in patients with schizophrenia spectrum and affective disorder |
Q48060781 | History of psychosis and previous episodes as potential explanatory factors for neurocognitive impairment in first-treatment bipolar I disorder |
Q33694266 | Impairment in emotion perception from body movements in individuals with bipolar I and bipolar II disorder is associated with functional capacity |
Q100730758 | In vivo hippocampal subfield volumes in bipolar disorder-A mega-analysis from The Enhancing Neuro Imaging Genetics through Meta-Analysis Bipolar Disorder Working Group |
Q29037309 | Indications of a dose–response relationship between cannabis use and age at onset in bipolar disorder |
Q36864984 | Neurocognitive features in subgroups of bipolar disorder |
Q50759514 | Neurocognitive functioning in patients recently diagnosed with bipolar disorder. |
Q34632954 | Patterns of childhood adverse events are associated with clinical characteristics of bipolar disorder |
Q33891571 | Perceived discrimination is associated with severity of positive and depression/anxiety symptoms in immigrants with psychosis: a cross-sectional study |
Q38998814 | Polygenic risk scores in bipolar disorder subgroups |
Q39480548 | Premorbid cannabis use is associated with more symptoms and poorer functioning in schizophrenia spectrum disorder |
Q90269656 | Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative |
Q47780923 | Psychometric properties of the Affective Lability Scale (54 and 18-item version) in patients with bipolar disorder, first-degree relatives, and healthy controls |
Q47590745 | Sex-specific cortisol levels in bipolar disorder and schizophrenia during mental challenge--relationship to clinical characteristics and medication |
Q38787383 | Task modulations and clinical manifestations in the brain functional connectome in 1615 fMRI datasets |
Q98385991 | The genetic architecture of human brainstem structures and their involvement in common brain disorders |
Q96343678 | Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action |
Q51846663 | Treatment delay and excessive substance use in bipolar disorder. |
Q57166553 | Using structural MRI to identify bipolar disorders - 13 site machine learning study in 3020 individuals from the ENIGMA Bipolar Disorders Working Group |
Q50539707 | VRK2 gene expression in schizophrenia, bipolar disorder and healthy controls. |
Q47314853 | Verbal learning contributes to cognitive insight in schizophrenia independently of affective and psychotic symptoms |
Q60632764 | White matter aberrations and age-related trajectories in patients with schizophrenia and bipolar disorder revealed by diffusion tensor imaging |
Q60632765 | White matter aberrations and age-related trajectories in patients with schizophrenia and bipolar disorder revealed by diffusion tensor imaging |
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