J
Joseph Kambeitz
Researcher at Ludwig Maximilian University of Munich
Publications - 80
Citations - 3140
Joseph Kambeitz is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Medicine & Psychosis. The author has an hindex of 23, co-authored 48 publications receiving 2582 citations. Previous affiliations of Joseph Kambeitz include King's College London.
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Journal ArticleDOI
The nature of dopamine dysfunction in schizophrenia and what this means for treatment
Oliver D. Howes,Joseph Kambeitz,Euitae Kim,Daniel Stahl,Mark Slifstein,Anissa Abi-Dargham,Shitij Kapur +6 more
TL;DR: The locus of the largest dopaminergic abnormality in schizophrenia is presynaptic, which affects dopamine synthesis capacity, baseline synaptic dopamine levels, and dopamine release, and future drug development should focus on the control of presYNaptic dopamine synthesis and release capacity.
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Induction of psychosis by Δ9-tetrahydrocannabinol reflects modulation of prefrontal and striatal function during attentional salience processing.
Sagnik Bhattacharyya,José Alexandre de Souza Crippa,Paul Allen,Rocio Martin-Santos,Stefan Borgwardt,Paolo Fusar-Poli,Katya Rubia,Joseph Kambeitz,C. O'Carroll,Marc L. Seal,Vincent Giampietro,Michael Brammer,Antonio Waldo Zuardi,Zerrin Atakan,Philip McGuire +14 more
TL;DR: In this article, the authors investigated whether its psychotic effects are mediated through an influence on attentional salience processing, and found that chronic use of marijuana may increase the risk of schizophrenia.
Journal ArticleDOI
Detecting neuroimaging biomarkers for schizophrenia: a meta-analysis of multivariate pattern recognition studies
Joseph Kambeitz,Lana Kambeitz-Ilankovic,Stefan Leucht,Stephen J. Wood,Christos Davatzikos,Berend Malchow,Peter Falkai,Nikolaos Koutsouleris +7 more
TL;DR: Despite the clinical heterogeneity of the schizophrenia phenotype, brain functional and structural alterations differentiate schizophrenic patients from healthy controls with 80% sensitivity and specificity, underline the utility of multivariate pattern recognition approaches for the identification of reliable neuroimaging-based biomarkers.
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Altered relationship between hippocampal glutamate levels and striatal dopamine function in subjects at ultra high risk of psychosis.
James M. Stone,Oliver D. Howes,Oliver D. Howes,Alice Egerton,Alice Egerton,Joseph Kambeitz,Paul Allen,David J. Lythgoe,Ruth L. O'Gorman,Mary A. McLean,Gareth J. Barker,Philip McGuire +11 more
TL;DR: The relationship between hippocampal glutamate and striatal dopamine systems is altered in people at high risk of psychosis, and the degree to which it is changed may be related to the risk of transition to psychosis.
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Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers.
Nikolaos Koutsouleris,Eva M. Meisenzahl,Stefan Borgwardt,Anita Riecher-Rössler,Thomas Frodl,Joseph Kambeitz,Yanis Köhler,Peter Falkai,Hans-Jürgen Möller,Maximilian F. Reiser,Christos Davatzikos +10 more
TL;DR: Structural MRI-based multivariate pattern classification was used to identify and cross-validate a differential diagnostic signature separating patients with first-episode and recurrent stages of schizophrenia from patients with major depression and suggest that neuroanatomical information may provide generalizable diagnostic tools distinguishing schizophrenia from mood disorders early in the course of psychosis.