Search Results - "Bollettini, I."

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  1. 1

    Unsupervised neurobiology-driven stratification of clinical heterogeneity in depression by Colombo, F., Calesella, F., Bravi, B., Fortaner-Uyà, L., Monopoli, C., Maggioni, E., Tassi, E., Zanardi, R., Attanasio, F., Bollettini, I., Poletti, S., Benedetti, F., Vai, B.

    Published in European psychiatry (01-03-2023)
    “…IntroductionOne of the main obstacles in providing effective treatments for major depressive disorder (MDD) is clinical heterogeneity, whose neurobiological…”
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    Journal Article
  2. 2

    Predicting Suicide Attempts among Major Depressive Disorder Patients with Structural Neuroimaging: A Machine Learning Approach by Fortaner-Uyà, L., Monopoli, C., Calesella, F., Colombo, F., Bravi, B., Maggioni, E., Tassi, E., Poletti, S., Bollettini, I., Benedetti, F., Vai, B.

    Published in European psychiatry (01-03-2023)
    “…IntroductionEvery year at least one million people die by suicide, with major depressive disorder (MDD) being one of the major causes of suicide deaths…”
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  3. 3

    Adverse childhood experiences influence white matter microstructure in patients with bipolar disorder by Benedetti, F, Bollettini, I, Radaelli, D, Poletti, S, Locatelli, C, Falini, A, Smeraldi, E, Colombo, C

    Published in Psychological medicine (01-10-2014)
    “…Bipolar disorder (BD) is associated with adverse childhood experiences (ACE), which worsen the lifetime course of illness, and with signs of widespread…”
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  4. 4

    Predicting unipolar and bipolar depression using inflammatory markers, neuroimaging and neuropsychological data: a machine learning study by Raffaelli, L., Colombo, F., Calesella, F., Fortaner-Uya, L., Bollettini, I., Lorenzi, C., Maggioni, E., Tassi, E., Poletti, S., Zanardi, R., Attanasio, F., Benedetti, F., Vai, B.

    Published in European psychiatry (01-03-2023)
    “…Introduction About 60% of bipolar disorder (BD) cases are initially misdiagnosed as major depressive disorder (MDD), preventing BD patients from receiving…”
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  5. 5

    Identifying a predictive model of cognitive impairment in bipolar disorder patients: a machine learning study by Monopoli, C, taner-Uyà, L, Calesella, F, Colombo, F, Bravi, B, Maggioni, E, Tassi, E, Bollettini, I, Poletti, S, Benedetti, F, Vai, B

    Published in European psychiatry (01-03-2023)
    “…IntroductionBipolar patients (BP) frequently have cognitive deficits, that impact on prognosis and quality of life. Finding biomarkers for this condition is…”
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  6. 6

    Catechol-O-methyltransferase Val(108/158)Met polymorphism affects fronto-limbic connectivity during emotional processing in bipolar disorder by Vai, B, Riberto, M, Poletti, S, Bollettini, I, Lorenzi, C, Colombo, C, Benedetti, F

    Published in European psychiatry (01-03-2017)
    “…Abstract Catechol-O-methyltransferase (COMT) inactivates catecholamines, Val/Val genotype was associated to an increased amygdala (Amy) response to negative…”
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  7. 7

    White matter microstructure in bipolar disorder is influenced by the serotonin transporter gene polymorphism 5‐HTTLPR by Benedetti, F., Bollettini, I., Poletti, S., Locatelli, C., Lorenzi, C., Pirovano, A., Smeraldi, E., Colombo, C.

    Published in Genes, brain and behavior (01-03-2015)
    “…Bipolar disorder (BD) is associated with signs of widespread disruption of white matter (WM) integrity. A polymorphism in the promoter of the serotonin…”
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  8. 8

    Abnormal cortico-limbic connectivity during emotional processing correlates with symptom severity in schizophrenia by Vai, B, Sferrazza Papa, G, Poletti, S, Radaelli, D, Donnici, E, Bollettini, I, Falini, A, Cavallaro, R, Smeraldi, E, Benedetti, F

    Published in European psychiatry (01-07-2015)
    “…Abstract Background Impaired emotional processing is a core feature of schizophrenia (SZ). Consistent findings suggested that abnormal emotional processing in…”
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