Camilla Monopoli

Milan, Italy

Last Updated: 09/26/2026

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Found 9 publications

A Delphi-method-based consensus for clinical domains and assessment of the inflammatory subtype of major depressive disorder from the ASPIRE study.

A Delphi-method-based consensus for clinical domains and assessment of the inflammatory subtype of major depressive disorder from the ASPIRE study.

Journal: Brain, behavior, and immunity

Published: March 27, 2026

Brain signatures of childhood trauma and polygenic scores for mental health drive clinical subtypes in depression: a UK Biobank study.

Brain signatures of childhood trauma and polygenic scores for mental health drive clinical subtypes in depression: a UK Biobank study.

Journal: European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

Published: January 14, 2026

Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

Biotypes of deeply phenotyped depressed patients reflect signatures of adverse childhood experience and depressive cognitive biases.

Journal: Journal of affective disorders

Published: July 25, 2025

Spontaneous neural activity mediates the effect of adverse childhood experiences on negative cognitive styles in mood disorders: a multivariate approach.

Spontaneous neural activity mediates the effect of adverse childhood experiences on negative cognitive styles in mood disorders: a multivariate approach.

Journal: Psychiatry research. Neuroimaging

Published: April 17, 2025

Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

Differences in resting-state functional connectivity between depressed bipolar and major depressive disorder patients: A machine learning study.

Journal: European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

Published: February 10, 2025

Can Machine Learning predict therapeutic outcomes in affective and not affective psychosis? A systematic review and meta-analysis.

Can Machine Learning predict therapeutic outcomes in affective and not affective psychosis? A systematic review and meta-analysis.

Journal: Neuroscience and biobehavioral reviews

Published: January 21, 2025

A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study.

A Longitudinal Prediction of Suicide Attempts in Borderline Personality Disorder: A Machine Learning Study.

Journal: Journal of clinical psychology

Published: February 05, 2024

Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance.

Multimodal brain-derived subtypes of Major depressive disorder differentiate patients for anergic symptoms, immune-inflammatory markers, history of childhood trauma and treatment-resistance.

Journal: European neuropsychopharmacology : the journal of the European College of Neuropsychopharmacology

Published: November 21, 2023

A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging.

A machine learning pipeline for efficient differentiation between bipolar and major depressive disorder based on multimodal structural neuroimaging.

Journal: Neuroscience applied

Published: June 29, 2023

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Last Updated: 09/26/2026