L. Squarcina

发表

The use of dynamic susceptibility contrast (DSC) MRI to automatically classify patients with first episode psychosis

M. Ruggeri, S. Tosato, U. Castellani, 2015, Schizophrenia Research.

Resting state networks activity in euthymic bipolar disorder

M. Bellani, P. Brambilla, G. Zoccatelli, 2020, Bipolar disorders.

Cortical diffusion-tensor imaging abnormalities in multiple sclerosis: a 3-year longitudinal study.

Alessandra Bertoldo, Massimiliano Calabrese, Francesca Rinaldi, 2011, Radiology.

Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder

F. Turkheimer, M. Bellani, P. Brambilla, 2015, Physics in medicine and biology.

Twin MRI studies on genetic and environmental determinants of brain morphology and function in the early lifespan

V. Diwadkar, P. Brambilla, E. Maggioni, 2020, Neuroscience & Biobehavioral Reviews.

Brain structural correlates of irritability: Findings in a large healthy cohort

Christian Gaser, I. Nenadić, M. Bellani, 2017, Human brain mapping.

Progressive disability and prefrontal shrinkage in schizophrenia patients with poor outcome: A 3-year longitudinal study

M. Ruggeri, M. Bellani, P. Brambilla, 2017, Schizophrenia Research.

A Critical Review on Structural Neuroimaging Studies in BD: a Transdiagnostic Perspective from Psychosis to Fronto-Temporal Dementia

M. Bellani, P. Brambilla, D. Galimberti, 2020, Current Behavioral Neuroscience Reports.

From early stress to 12-month development in very preterm infants: Preliminary findings on epigenetic mechanisms and brain growth

R. Borgatti, P. Brambilla, L. Provenzi, 2018, PloS one.

M. Ruggeri, M. Bellani, P. Brambilla, 2017, PloS one.

The Assertive Brain: Anterior Cingulate Phosphocreatine plus Creatine Levels Correlate With Self-Directedness in Healthy Adolescents

F. Fabbro, P. Brambilla, G. Delvecchio, 2019, Front. Psychiatry.

Effects of Early Intervention on Visual Function in Preterm Infants: A Randomized Controlled Trial

M. Bonzini, Camilla Fontana, N. Pesenti, 2020, Frontiers in Pediatrics.

Neurovascular alterations in bipolar disorder: A review of perfusion weighted magnetic resonance imaging studies.

G. Delvecchio, L. Squarcina, P. Brambilla, 2022, Journal of affective disorders.

Association between Diffusion Tensor Imaging, inflammation and immunological alterations in unipolar and bipolar depression: A review

P. Brambilla, G. Delvecchio, L. Squarcina, 2022, Neuroscience & Biobehavioral Reviews.

White Matter Microstructure Associated with the Antidepressant Effects of Deep Brain Stimulation in Treatment-Resistant Depression: A Review of Diffusion Tensor Imaging Studies

F. Sambataro, P. Brambilla, G. Delvecchio, 2022, International journal of molecular sciences.

A machine learning approach on whole blood immunomarkers to identify an inflammation-associated psychosis onset subgroup

M. Ruggeri, S. Tosato, A. Veronese, 2023, Molecular Psychiatry.

Hippocampal Volume as a Putative Marker of Resilience or Compensation to Minor Depressive Symptoms in a Nonclinical Sample

Christian Gaser, I. Nenadić, M. Bellani, 2019, Front. Psychiatry.

Subclinical Agoraphobia Symptoms and Regional Brain Volumes in Non-clinical Subjects: Between Compensation and Resilience?

Christian Gaser, I. Nenadić, M. Bellani, 2018, Front. Psychiatry.

Classification of first-episode psychosis using cortical thickness: A large multicenter MRI study

R. Murray, F. Piras, G. Spalletta, 2021, European Neuropsychopharmacology.

International Multicenter Analysis of Brain Structure Across Clinical Stages of Parkinson's Disease

Joanna K. Bright, N. Jahanshad, P. Thompson, 2021, Movement disorders : official journal of the Movement Disorder Society.

Deep learning for the prediction of treatment response in depression.

Enrico Grisan, Paolo Brambilla, Letizia Squarcina, 2020, Journal of affective disorders.

Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia

Roberto Sassi, Tewodros Mulugeta Dagnew, Massimo W. Rivolta, 2017, ICIAP.

Using combined environmental–clinical classification models to predict role functioning outcome in clinical high-risk states for psychosis and recent-onset depression

P. Falkai, R. Lencer, J. Caspers, 2022, The British Journal of Psychiatry.

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine

Umberto Castellani, Marcella Bellani, Paolo Brambilla, 2021, Brain and behavior.

Automated cortical thickness and skewness feature selection in bipolar disorder using a semi-supervised learning method.

M. Bellani, M. Rivolta, L. Squarcina, 2019, Journal of affective disorders.

Brain Mitochondrial Impairment in Early‐Onset Parkinson's Disease With or Without PINK1 Mutation

L. Squarcina, M. Rango, C. Bonifati, 2020, Movement disorders : official journal of the Movement Disorder Society.

Relationships between global functioning and neuropsychological predictors in subjects at high risk of psychosis or with a recent onset of depression

R. Lencer, D. Dwyer, N. Koutsouleris, 2022, The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry.

Sex differences in brain metabolites in anxiety and mood disorders

P. Brambilla, P. Girardi, L. Finos, 2020, Psychiatry Research: Neuroimaging.

An International Multicenter Analysis of Brain Structure across Clinical Stages of Parkinson's Disease: The ENIGMA-Parkinson's Study

Joanna K. Bright, N. Jahanshad, H. Berendse, 2020, medRxiv.

Functional Maps for Brain Classification on Spectral Domain

Umberto Castellani, Simone Melzi, Cinzia Perlini, 2016, SeSAMI@MICCAI.

Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study

Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study

Muhammad Abubakar Yamin, Michael Dayan, Letizia Squarcina, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging

Joanna K. Bright, N. Jahanshad, R. Wiest, 2022, MLCN@MICCAI.

"First-episode psychosis: Structural covariance deficits in salience network correlate with symptoms severity".

M. Ruggeri, J. Jovicich, M. Bellani, 2021, Journal of psychiatric research.

Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative

O. Andreassen, T. Schulze, E. Duchesnay, 2019, International Journal of Bipolar Disorders.

Brain Network Dysfunction in Bipolar Disorder: Evidence from Structural and Functional MRI Studies

P. Brambilla, G. Delvecchio, E. Maggioni, 2021 .

Lithium: past, present, and future.

A. Young, F. Bellivier, D. Cousins, 2020, The lancet. Psychiatry.

In Vivo Mitochondrial Function in Idiopathic and Genetic Parkinson’s Disease

L. Squarcina, M. Rango, Gabriele Dossi, 2019, Metabolites.

Classification of first-episode psychosis in a large cohort of patients using support vector machine and multiple kernel learning techniques

Umberto Castellani, Cinzia Perlini, Paolo Brambilla, 2017, NeuroImage.

White matter modifications of corpus callosum in bipolar disorder: A DTI tractography review.

M. Bellani, P. Brambilla, G. Delvecchio, 2023, Journal of affective disorders.

A robust method for investigating thalamic white matter tracts after traumatic brain injury

Alessandra Bertoldo, Rolf A. Heckemann, David J. Sharp, 2012, NeuroImage.

Lithium effects on Hippocampus volumes in patients with bipolar disorder.

P. Brambilla, D. Cousins, L. Squarcina, 2021, Journal of affective disorders.

Identification of an inflammation-associated psychosis onset subgroup by applying unsupervised machine learning to whole-blood expression levels of immune gene transcripts

F. Bellini, G. Delvecchio, C. Perlini, 2023, Neuroscience Applied.

P.507 Machine learning classification of first-episode psychosis using cortical thickness: a large multicenter magnetic resonance imaging study

F. Piras, G. Spalletta, S. Smesny, 2020, European Neuropsychopharmacology.

A multivariate cognitive approach to predict social functioning in recent onset psychosis in response to computerized cognitive training

R. Lencer, D. Dwyer, N. Koutsouleris, 2023, Progress in Neuro-Psychopharmacology and Biological Psychiatry.

A review of altered biochemistry in the anterior cingulate cortex of first-episode psychosis

M. Bellani, L. Squarcina, Paolo Brambilla, 2017, Epidemiology and Psychiatric Sciences.

Twin studies for the investigation of the relationships between genetic factors and brain abnormalities in bipolar disorder

M. Bellani, P. Brambilla, C. Fagnani, 2016, Epidemiology and Psychiatric Sciences.

Review on deep learning fetal brain segmentation from Magnetic Resonance images

A. Bertoldo, D. Peruzzo, L. Squarcina, 2023, Artif. Intell. Medicine.

Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester

A. Bertoldo, D. Peruzzo, A. Pigoni, 2023, Neuroinformatics.

Analysis of Dynamic Brain Connectivity Through Geodesic Clustering

Vittorio Murino, Vaibhav A. Diwadkar, Diego Sona, 2019, ICIAP.

Fetal brain MRI atlases and datasets: A review

D. Peruzzo, L. Squarcina, Tommaso Ciceri, 2024, NeuroImage.

Heritability of white matter in twins: A diffusion neuroimaging review.

G. Delvecchio, C. Fagnani, L. Squarcina, 2024, Physics of life reviews.

Cerebellar Volume and Disease Staging in Parkinson's Disease: An ENIGMA‐PD Study

N. Jahanshad, H. Berendse, R. Helmich, 2023, Movement disorders : official journal of the Movement Disorder Society.

White matter integrity and medication response to antidepressants in major depressive disorder: a review of the literature

G. Delvecchio, L. Squarcina, C. Prunas, 2024, Frontiers in psychiatry.

White matter integrity in bipolar disorder investigated with diffusion tensor magnetic resonance imaging and fractal geometry.

J. Houenou, M. Bellani, L. Squarcina, 2023, Journal of affective disorders.