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Brain Informatics
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April 20, 2021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, et al.
Drug and Alcohol Dependence
|
May 9, 2021
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study
Marco Cavicchioli, Federico Calesella, Silvia Cazzetta, et al.
Journal of Psychiatric Research
|
February 17, 2024
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls
Benedetta Vai, Federico Calesella, Alice Pelucchi, et al.
Journal of Psychiatric Research
|
June 9, 2021
Circulating inflammatory markers impact cognitive functions in bipolar depression
Sara Poletti, Mario Gennaio Mazza, Federico Calesella, et al.
Bipolar Disorders
|
November 15, 2022
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in bipolar disorder
Elena Mazza, Federico Calesella, Marco Paolini, et al.
Human Brain Mapping
|
December 20, 2024
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements
Emma Tassi, Anna Maria Bianchi, Federico Calesella, et al.
Neuroscience and Biobehavioral Reviews
|
February 5, 2022
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
Federica Colombo, Federico Calesella, Mario Gennaro Mazza, et al.
Cytokine
|
December 19, 2024
Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors
Mariagrazia Palladini, Mario Gennaro Mazza, Rebecca De Lorenzo, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry
|
October 12, 2020
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach
Sara Poletti, Benedetta Vai, Mario Gennaro Mazza, et al.
Psychiatry Research. Neuroimaging
|
March 16, 2023
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters
Benedetta Vai, Federico Calesella, Claudia Lenti, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 24) with videos related to
Sort By:
Page
of 3
Brain Informatics
|
April 20, 2021
A comparison of feature extraction methods for prediction of neuropsychological scores from functional connectivity data of stroke patients
Federico Calesella, Alberto Testolin, Michele De Filippo De Grazia, et al.
Drug and Alcohol Dependence
|
May 9, 2021
Investigating predictive factors of dialectical behavior therapy skills training efficacy for alcohol and concurrent substance use disorders: A machine learning study
Marco Cavicchioli, Federico Calesella, Silvia Cazzetta, et al.
Journal of Psychiatric Research
|
February 17, 2024
Adverse childhood experiences differently affect Theory of Mind brain networks in schizophrenia and healthy controls
Benedetta Vai, Federico Calesella, Alice Pelucchi, et al.
Journal of Psychiatric Research
|
June 9, 2021
Circulating inflammatory markers impact cognitive functions in bipolar depression
Sara Poletti, Mario Gennaio Mazza, Federico Calesella, et al.
Bipolar Disorders
|
November 15, 2022
Insulin resistance disrupts white matter microstructure and amplitude of functional spontaneous activity in bipolar disorder
Elena Mazza, Federico Calesella, Marco Paolini, et al.
Human Brain Mapping
|
December 20, 2024
Assessment of ComBat Harmonization Performance on Structural Magnetic Resonance Imaging Measurements
Emma Tassi, Anna Maria Bianchi, Federico Calesella, et al.
Neuroscience and Biobehavioral Reviews
|
February 5, 2022
Machine learning approaches for prediction of bipolar disorder based on biological, clinical and neuropsychological markers: A systematic review and meta-analysis
Federica Colombo, Federico Calesella, Mario Gennaro Mazza, et al.
Cytokine
|
December 19, 2024
Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors
Mariagrazia Palladini, Mario Gennaro Mazza, Rebecca De Lorenzo, et al.
Progress in Neuro-Psychopharmacology & Biological Psychiatry
|
October 12, 2020
A peripheral inflammatory signature discriminates bipolar from unipolar depression: A machine learning approach
Sara Poletti, Benedetta Vai, Mario Gennaro Mazza, et al.
Psychiatry Research. Neuroimaging
|
March 16, 2023
Reduced corticolimbic habituation to negative stimuli characterizes bipolar depressed suicide attempters
Benedetta Vai, Federico Calesella, Claudia Lenti, et al.
Page
of 3