Karsten Heekeren

University Hospital of Zurich

Switzerland

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Articles (10)

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (16)

Takahiro Nemoto

Professor and Chair

Toho University

JAPAN

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Norihide Maikusa

University of Tokyo

JAPAN

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Imke Lemmers-Jansen

University of Amsterdam

NETHERLANDS

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Holly Hamilton

Assistant Professor

University of Minnesota

UNITED STATES

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Christian Krog Tamnes

University of Oslo

NORWAY

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Dennis Hernaus

University of Maastricht

NETHERLANDS

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Juan Zhou

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Miriam Gerstenberg

University Children's Hospital Zurich

SWITZERLAND

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Wulf Rössler

Senior Professor

Charité - Universitätsmedizin Berlin

GERMANY

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Philipp Stämpfli

University of Zurich

SWITZERLAND

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Ole A. Andreassen

Oslo University Hospital

NORWAY

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Anastasia Theodoridou

University of Zurich

SWITZERLAND

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Lukasz Smigielski

University of Zurich

SWITZERLAND

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Jochen Kindler

SWITZERLAND

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Vanessa Cropley

AUSTRALIA

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Peter J. Uhlhaas

UNITED KINGDOM

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Karsten Heekeren

Research Interests

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Articles (10)

Using brain structural neuroimaging measures to predict psychosis onset for individuals at clinical high-risk.

Normative Modeling of Brain Morphometry in Clinical High Risk for Psychosis.

Mismatch negativity generation in subjects at risk for psychosis: source analysis is more sensitive than surface electrodes in risk prediction

Neuroanatomical heterogeneity and homogeneity in individuals at clinical high risk for psychosis

White matter microstructure and the clinical risk for psychosis: A diffusion tensor imaging study of individuals with basic symptoms and at ultra-high risk

mGluR5 binding changes during a mismatch negativity task in a multimodal protocol with [<sup>11</sup>C]ABP688 PET/MR-EEG

Polygenic risk scores across the extended psychosis spectrum.

Association of Structural Magnetic Resonance Imaging Measures With Psychosis Onset in Individuals at Clinical High Risk for Developing Psychosis: An ENIGMA Working Group Mega-analysis.

Multimodal Machine Learning Workflows for Prediction of Psychosis in Patients With Clinical High-Risk Syndromes and Recent-Onset Depression

Cortical Volume Differences in Subjects at Risk for Psychosis Are Driven by Surface Area

Collaborators (16)

Takahiro Nemoto

Norihide Maikusa

Imke Lemmers-Jansen

Holly Hamilton

Christian Krog Tamnes

Dennis Hernaus

Juan Zhou

Miriam Gerstenberg

Wulf Rössler

Philipp Stämpfli

Ole A. Andreassen

Anastasia Theodoridou

Lukasz Smigielski

Jochen Kindler

Vanessa Cropley

Peter J. Uhlhaas

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