Výsledky vyhledávání - "Psychotic Disorders/diagnostic imaging"

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    Přispěvatelé: Zhu, Yinghan Maikusa, Norihide Radua, Joaquim a další

    Zdroj: Mol Psychiatry
    Zhu, Y, Maikusa, N, Radua, J, Sämann, P G, Fusar-Poli, P, Agartz, I, Andreassen, O A, Bachman, P, Baeza, I, Chen, X, Choi, S, Corcoran, C M, Ebdrup, B H, Fortea, A, Garani, R RG, Glenthøj, B Y, Glenthøj, L B, Haas, S S, Hamilton, H K, Hayes, R A, He, Y, Heekeren, K, Kasai, K, Katagiri, N, Kim, M, Kristensen, T D, Kwon, J S, Lawrie, S M, Lebedeva, I, Lee, J, Loewy, R L, Mathalon, D H, McGuire, P, Mizrahi, R, Mizuno, M, Møller, P, Nemoto, T, Nordholm, D, Omelchenko, M A, Raghava, J M, Røssberg, J I, Rössler, W, Salisbury, D F, Sasabayashi, D, Smigielski, L, Sugranyes, G, Takahashi, T, Tamnes, C K, Tang, J, Theodoridou, A, Tomyshev, A S, Uhlhaas, P J, Værnes, T G, van Amelsvoort, T A M J, Waltz, J A, Westlye, L T, Zhou, J H, Thompson, P M, Hernaus, D, Jalbrzikowski, M, Koike, S & ENIGMA Clinical High Risk for Psychosis Working Group 2024, ' Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk ', Molecular Psychiatry, vol. 29, no. 5, pp. 1465-1477 . https://doi.org/10.1038/s41380-024-02426-7
    Zhu, Y, Maikusa, N, Radua, J, G. Sämann, P & Fusar-Poli, P 2024, ' Using Brain Structural Neuroimaging Measures to Predict Psychosis Onset for Individuals at Clinical High-Risk ', Molecular Psychiatry, pp. 1465–1477 . https://doi.org/10.1038/s41380-024-02426-7
    Zhu, Y, Maikusa, N, Radua, J, Sämann, P G, Fusar-Poli, P, Agartz, I, Andreassen, O A, Bachman, P, Baeza, I, Chen, X, Choi, S, Corcoran, C M, Ebdrup, B H, Fortea, A, Garani, R R, Glenthøj, B Y, Glenthøj, L B, Haas, S S, Hamilton, H K, Hayes, R A, He, Y, Heekeren, K, Kasai, K, Katagiri, N, Kim, M, Kristensen, T D, Kwon, J S, Lawrie, S M, Lebedeva, I, Lee, J, Loewy, R L, Mathalon, D H, McGuire, P, Mizrahi, R, Møller, P, Mizuno, M, Nemoto, T, Nordholm, D, Omelchenko, M A, Raghava, J M, Røssberg, J I, Rössler, W, Salisbury, D F, Sasabayashi, D, Smigielski, L, Sugranyes, G, Takahashi, T, Tamnes, C K, Tang, J, Theodoridou, A, Tomyshev, A S, Uhlhaas, P J, Værnes, T G, van Amelsvoort, T A M J, Waltz, J A, Westlye, L T, Zhou, J H, Thompson, P M, Hernaus, D, Jalbrzikowski, M, Koike, S 2024, ' Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk ', Molecular Psychiatry . https://doi.org/10.1038/s41380-024-02426-7
    Molecular Psychiatry, vol 29, iss 5

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    Přispěvatelé: Krug, Axel Stein, Frederike David, Friederike S. a další

    Zdroj: Transl Psychiatry
    Translational Psychiatry, Vol 14, Iss 1, Pp 1-10 (2024)
    Translational Psychiatry 14(1), 235 (2024). doi:10.1038/s41398-024-02936-6
    Translational Psychiatry, 14(1):235

    Témata: Male, Adult, 0301 basic medicine, Multifactorial Inheritance, Bipolar Disorder, Medizin, Neurosciences. Biological psychiatry. Neuropsychiatry, Article, 03 medical and health sciences, 0302 clinical medicine, Humans, ddc:610, Gray Matter, 59/57, Bipolar Disorder/pathology [MeSH], Psychotic Disorders/genetics [MeSH], Gray Matter/pathology [MeSH], 631/378/340, Magnetic Resonance Imaging [MeSH], 631/208/2489, Male [MeSH], 45/43, Depressive Disorder, Major/diagnostic imaging [MeSH], Schizophrenia/pathology [MeSH], Female [MeSH], Brain/pathology [MeSH], Multifactorial Inheritance/genetics [MeSH], Brain/diagnostic imaging [MeSH], Psychotic Disorders/diagnostic imaging [MeSH], Adult [MeSH], Cerebral Cortex/pathology [MeSH], Humans [MeSH], Psychopathology [MeSH], Depressive Disorder, Major/genetics [MeSH], Middle Aged [MeSH], 692/699/476/1799, Factor Analysis, Statistical [MeSH], Bipolar Disorder/genetics [MeSH], Depressive Disorder, Major/pathology [MeSH], Genome-Wide Association Study [MeSH], Gray Matter/diagnostic imaging [MeSH], Schizophrenia/genetics [MeSH], Cerebral Cortex/diagnostic imaging [MeSH], Bipolar Disorder/diagnostic imaging [MeSH], Psychotic Disorders/pathology [MeSH], Schizophrenia/diagnostic imaging [MeSH], article, Cerebral Cortex, Depressive Disorder, Major, Psychopathology, Brain, Middle Aged, Medical sciences Medicine, Magnetic Resonance Imaging, ddc, 3. Good health, Psychotic Disorders, Schizophrenia, Female, Factor Analysis, Statistical, RC321-571, Genome-Wide Association Study

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    Přispěvatelé: Nora Penzel Linda A. Antonucci Linda T. Betz a další

    Zdroj: Neuropsychopharmacology
    Penzel, Nora; Antonucci, Linda A; Betz, Linda T; Sanfelici, Rachele; Weiske, Johanna; Pogarell, Oliver; Cumming, Paul; Quednow, Boris B; Howes, Oliver; Falkai, Peter; Upthegrove, Rachel; Bertolino, Alessandro; Borgwardt, Stefan; Brambilla, Paolo; Lencer, Rebekka; Meisenzahl, Eva; Rosen, Marlene; Haidl, Theresa; Kambeitz-Ilankovic, Lana; Ruhrmann, Stephan; ... (2021). Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis. Neuropsychopharmacology, 46(8), pp. 1484-1493. Springer Nature 10.1038/s41386-021-00977-9 <http://dx.doi.org/10.1038/s41386-021-00977-9>

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    Zdroj: Neuropsychopharmacology

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