238 results on '"Vai B"'
Search Results
2. Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression
3. Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach
4. Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study
5. Time Moderates the interplay between 5-HTTLPR and stress on depression risk: gene x environment interaction as dynamic process
6. The different effect of adverse childhood experiences on Theory of Mind brain networks in schizophrenia and healthy controls
7. Cognitive distortions and structural neuroimaging data predict depression severity in unipolar and bipolar depression: a machine learning study
8. Unsupervised neurobiologically-driven stratification of clinical heterogeneity in treatment-resistant depression
9. ADHD levels and resting-state functional connectivity patterns in predominantly-cocaine versus other-substances abusers
10. Functional neuroimaging for the differentiation between healthy controls, depressed bipolar and major depressive patients: a machine learning study
11. Combining clinical data, genetics, and adverse childhood experiences for suicidality prediction in mood disorders: a machine learning approach
12. Predicting cognitive impairment in depression: a machine learning approach on multimodal structural neuroimaging
13. A topological data analysis approach for multimodal feature-driven stratification of major depressive disorder patients by treatment resistant depression
14. Moving beyond clinical approaches: machine learning on neuroimaging and cognitive features for the differential diagnosis between unipolar and bipolar depression
15. The effect of adverse childhood experiences on theory of mind brain networks: association with clinical and behavioural outcomes in schizophrenia
16. Abnormal cortico-limbic connectivity during emotional processing correlates with symptom severity in schizophrenia
17. Fronto-limbic disconnection in bipolar disorder
18. Machine learning signature in differentiating bipolar and unipolar depression with multimodal structural neuroimaging data and neuropsychology
19. Classification of bipolar disorder from multi-site regional-based cortical morphology features using support vector machine technique
20. Time moderates the interplay between 5-HTTLPR and stress on depression risk – Gene x environment interaction as dynamic process
21. Identifying suicide attempters among bipolar depressed patients using structural neuroimaging: a machine learning study
22. Prediction of cognitive impairment in mood disorders using multimodal structural neuroimaging: a machine learning study
23. Immune-inflammation and structural neuroimaging differentiate bipolar and unipolar depression: a machine learning study
24. A machine learning pipeline for efficient differentiation between depressed bipolar disorder and major depressive disorder patients based on structural neuroimaging
25. Data-driven stratification of depressed patients based on structural neuroimaging signatures: a stability-based relative clustering validation approach
26. P.0088 Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: a systematic review and meta-analysis
27. P.0689 Reduced cortico-limbic habituation identifies bipolar depressed suicide attempers: a machine learning study
28. P.0279 Neural underpinnings of depressive and post-traumatic symptomatology in covid-19 survivors: a voxel-based morphometry study
29. Early adolescent friendships aid affective and neural responses to social inclusion and exclusion in young adults
30. Topological data analysis for genetic-driven stratification of patients with major depressive disorder
31. Not understanding others. The RdoC approach to Theory of mind and empathy deficits in Schizophrenia, Borderline Personality Disorder and Mood Disorders
32. P.253 Immunoassay quantification and neuroimaging data for differentiating bipolar and unipolar depression: support vector machine on kernels and elastic net approaches
33. P.141 Topological data analysis for genetic-driven stratification of patients with major depressive disorder
34. P.201 Higher baseline interleukin 13 marks poor antidepressant response to sleep deprivation and light therapy in bipolar disorder
35. P82 Neurobiologic and clinical correlates of low-frequency TMS over the left DorsoLateral Prefrontal Cortex in Manic Episode
36. P.305 Inflammation and neuroimaging differentiate bipolar and unipolar depression: a multiple kernel learning approach
37. P.029 Classifying mood disorders using multiple kernel learning on multimodal neuroimaging data: translating biological data into a diagnostic tool for depression
38. P.061 Diffusion tensor imaging as a biomarker for the discrimination of bipolar and unipolar depression
39. P.630 Amygdala functional connectivity in depressed bipolar patients as possible predictor of antidepressant response to chronobiological treatment
40. P.651 Mood congruent helplessness associates with prefrontal Intrinsic connectivity in major depression
41. P.4.12 Classification of mood disorders using a multiple kernel approach on multimodal neuroimaging data
42. P.4.09 Corticolimbic connectivity mediates the early stress - suicidality relation in 5-HTTLPR S-carrier bipolar depression
43. Serotonin transporter promoter gene and white matter integrity: a tract based spatial statistics study in bipolar patients
44. Fronto-limbic disconnection in bipolar disorder
45. Fronto-limbic disconnection in bipolar disorder
46. Fronto-limbic connectivity during emotional processing in bipolar depression: the role of 5-HT1A promoter polymorphism
47. Tryptophan catabolism affects the neural correlates of mood-congruent processing biases in bipolar depression
48. Excitatory amino acid transporters 1 affects corticolimbic circuitry during implicit processing of negative emotional stimuli in bipolar disorder
49. Catechol-O-methyltransferase (COMT) polymorphism affects fronto-limbic connectivity during emotional processing in bipolar depression
50. Cortico-limbic dysfunction in borderline personality disorder: adverse childhood experiences and treatment with clozapine
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