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FOCUS:

In order to understand mental health, it is crucial to consider the complex interplay of an individual with its environment. This includes biological and psychological factors as well as social interactions or the use of digital media. In our lab, we conduct research on this exciting field with the aim to:

  • identify adverse influences for mental health as well as protective factors 

  • provide modern tools to allow individualised diagnostics and preventive strategies

  • develop personalised interventions to support mental health

METHODS:

Our team consists of a mix of methodologically-oriented clinicians and clinically-oriented methodologists, which allows us to live a close interaction between research and clinical application. Together we aim at the clinical translation of novel tools inspired by data-science oriented approaches such as:

  • machine-learning and big data analytics to identify informative patterns in behavioural or biological data

  • network models to characterise complex relationships between symptoms, risk and protective factors

  • dynamic systems modelling to provide a mechanistic understanding of brain in health and disease

  • meta-analysis to address essential clinical questions based on a large body of evidence

Photo of the members of the KambeitzLab

AIMS:

We hope that by extending the focus to the development of behavioural, cognitive and neuro-imaging biomarkers, we can improve our understanding of mental health and generate models for individualised prediction in psychiatric patients or individuals at risk. Ultimately, we aim to personalise behavioural, pharmacological and psychotherapeutic interventions in the complex human-digital setting of psychiatry today using our expertise in machine learning and computational methods.

NEWS

23.05.2024

WDR Podcast: interview with Lana on work in Precision Psychiatry!

Here is a recent WDR podcast on Precision Psychiatry - great to see our work covered in public media!

19.02.2024

New Homepage for our project: "ABCD-J: A digital plattform for neuro-medicine"

We are creating a digital platform for neuro-medicine in the ABCD region with @INM7_ISN - exciting steps towards harmonized databases across psychiatry and neurology and federated machine-learning analysis. Check out our homepage: https://abcd-j.de More to come!

20.01.2024

AI & Precision Psychiatry: cover of our work and brief interview of Joseph

12.01.2024

New work out in Science!

Happy to have contributed to a recent publication in Science - a true team-effort led by Adam Chekroud. In a nutshell: a central open question in precision psychiatry is the extend to which prediction models can generalize to different samples. In our recent work, we generate models to predict treatment success with antipsychotics in schiozphrenia. While the models work well within the study they are trained on, they do not generalize to other studies. We hope that our results can facilitate the search for robust and generalizable markers in psychiatry... 

https://www.science.org/doi/full/10.1126/science.adg8538

13.12.2023

Mental Health matters...!

Thanks Paula und Julian for advocating for mental health in the Cologne area and promote our early recognition service at FETZ!

Home:News
Home: Our Team

LAB MEMBERS

Joseph Kambeitz

Joseph Kambeitz

Prof.

Lana Kambeitz-Ilankovic

Lana Kambeitz-Ilankovic

PD Dr.

Theresa Lichtenstein

Theresa Lichtenstein

PD Dr.

Sophie Fengler

Sophie Fengler

Dr.

Linnea Hoheisel

Linnea Hoheisel

MSc.

Alina Zubair

Alina Zubair

cand. med.

Luzie Badde

Luzie Badde

cand. med.

Uma Rzayeva

Uma Rzayeva

MD

Julian Wenzel

Julian Wenzel

Dr.

Annkathrin Böke

Annkathrin Böke

MSc.

Sophie Müller

Sophie Müller

MSc.

Hannah Hacker

Hannah Hacker

BA

Millennia Chakraborty

Millennia Chakraborty

BA

Marlene Rosen

Marlene Rosen

Dr.

Hanna Kadel

Hanna Kadel

MSc.

Öznur Baştürk

Öznur Baştürk

MSc.

Laura Völkel

Laura Völkel

cand. med.

Nina Walter

Nina Walter

cand. med.

LAB ALUMNI

Susanne Inanloo

MSc.

Alessandra Raio

MSc.

Pilar Albert Porcar

MD

Ana Muthesius

Dr.

Linda Betz (now at GAIA)

Dr.

Simon Herstell

MD

Carolin Doll

MSc.

Nora Penzel (now at Harvard)

Dr.

Pedro Costa Klein (now at Uni Göttingen)

MSc.

RESEARCH PROJECTS

Home: Our Team
PsyLetics

PsyLetics

Transdiagnostic phenotyping of psychopathology in a help-seeking population (PhenoNetz) - an experience sampling study

Transdiagnostic phenotyping of psychopathology in a help-seeking population (PhenoNetz) - an experience sampling study

Longitudinal course of cannabis-induced psychosis (CIP)

Longitudinal course of cannabis-induced psychosis (CIP)

Personalized cognitive training

Personalized cognitive training

2Long4COVID BLUT

2Long4COVID BLUT

Individualised prediction in clinical high risk

Individualised prediction in clinical high risk

Understanding Schizophrenia using Computational Modeling: Biological Simulations of the Brain’s Functional Connectome Copy

Understanding Schizophrenia using Computational Modeling: Biological Simulations of the Brain’s Functional Connectome Copy

Symptom networks in psychotic and affective disorders

Symptom networks in psychotic and affective disorders

Home: Talks

TALKS

Date
Presenter
Title
18.01.2023
Dr. Kevin Hilbert
Prediction of response to psychotherapy in anxiety disorders
15.02.2023
Dr. Sandra Vieira
Precision psychotherapy: where are we and next steps
30.03.2022
Mallory Dobias
Single-session interventions for Mental Health
27.04.2022
Dr. Alex Stainton
Cognition & Resilience in Clinical High-Risk for Psychosis
10.02.2021
Dr. Martin Hebart
Revealing Interpretable Representational Dimensions Shared Between Humans and Deep Neural Networks
24.02.2021
Dr. Nils Opel
Challenges for Translational Psychiatry in the Age of Big Data
24.03.2021
Dr. Urs Braun
Network Neuroscience in Psychiatry
14.04.2021
Dr. Stephanie Forkel
White matter tractography & its application in health and disease
16.06.2021
Dr. Diana Prata
Neuroimaging Genetics in Psychiatry
01.12.2021
Dr. Gemma Modinos
Neurobiology of psychosis risk: From mechanistic to big data approaches
08.12.2021
Dr. Belinda Platt
Biological and cognitive vulnerability for youth depression: from laboratory research to preventive interventions.

Check here for upcoming talks from invited speakers.

WORK WITH US

Home: WorkWithUs

We frequently offer research projects in the area of mental health, machine learning & big data and neuroimaging. Feel free to get in contact if you are interested in collaborating or working with us.

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PUBLICATIONS

  • Chekroud AM, Hawrilenko M, Loho H, Bondar J, Gueorguieva R, Hasan A, Kambeitz J, et al. (2024): Illusory generalizability of clinical prediction models. Science 383: 164–167.

  • Şahin D, Kambeitz-Ilankovic L, Wood S, Dwyer D, Upthegrove R, ..., Kambeitz J (2023): Algorithmic fairness in precision psychiatry: analysis of prediction models in individuals at clinical high risk for psychosis. Br J Psychiatry 1–11.

  • Stainton A, Chisholm K, Griffiths SL, Kambeitz-Ilankovic L, Wenzel J, Bonivento C, et al. (2023): Prevalence of cognitive impairments and strengths in the early course of psychosis and depression. Psychol Med 1–13.

  • Buciuman M-O, Oeztuerk OF, Popovic D, Enrico P, Ruef A, Bieler N, et al. (2023): Structural and functional brain patterns predict formal thought disorder’s severity and its persistence in recent-onset psychosis: Results from the PRONIA Study. Biol Psychiatry Cogn Neurosci Neuroimaging. https://doi.org/10.1016/j.bpsc.2023.06.001

  • Woods SW, Parker S, Kerr MJ, Walsh BC, Wijtenburg SA, Prunier N, et al. (2023): Development of the PSYCHS: Positive SYmptoms and Diagnostic Criteria for the CAARMS Harmonized with the SIPS. medRxiv. https://doi.org/10.1101/2023.04.29.23289226

  • Betz LT, Penzel N, Rosen M, Bhui K, Upthegrove R, Kambeitz J (2023): Disentangling heterogeneity of psychosis expression in the general population: sex-specific moderation effects of environmental risk factors on symptom networks. Psychol Med 53: 1860–1869.

  • de Erausquin GA, Snyder H, Brugha TS, Seshadri S, Carrillo M, Sagar R, et al. (2022): Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer’s Association Global Consortium. Alzheimers Dement 8: e12348.

  • Kambeitz-Ilankovic, L., Rzayeva, U., Völkel, L., Wenzel, J., Weiske, J., Jessen, F., Reininghaus, U., Uhlhaas, P. J., Alvarez-Jimenez, M., & Kambeitz, J. (2022). A systematic review of digital and face-to-face cognitive behavioral therapy for depression. NPJ Digital Medicine, 5(1), 144.​

  • Betz, L. T., Penzel, N., & Kambeitz, J. (2022). A network approach to relationships between cannabis use characteristics and psychopathology in the general population. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-11092-0

  • Haas, S. S., Doucet, G. E., Antoniades, M., Modabbernia, A., Corcoran, C. M., Kahn, R. S., Kambeitz, J., Kambeitz-Ilankovic, L., Borgwardt, S., Brambilla, P., Upthegrove, R., Wood, S. J., Salokangas, R. K. R., Hietala, J., Meisenzahl, E., Koutsouleris, N., & Frangou, S. (2022). Evidence of discontinuity between psychosis-risk and non-clinical samples in the neuroanatomical correlates of social function. Schizophrenia Research. Cognition, 29, 100252.

  • Müller, H., Betz, L. T., Kambeitz, J., Falkai, P., Gaebel, W., Heinz, A., Hellmich, M., Juckel, G., Lambert, M., Meyer-Lindenberg, A., Schneider, F., Wagner, M., Zink, M., Klosterkötter, J., & Bechdolf, A. (2022). Bridging the phenomenological gap between predictive basic-symptoms and attenuated positive symptoms: a cross-sectional network analysis. Schizophrenia, 8(1). https://doi.org/10.1038/s41537-022-00274-4

  • Schwarzer, J. M., Meyhoefer, I., Antonucci, L. A., Kambeitz-Ilankovic, L., Surmann, M., Bienek, O., Romer, G., Dannlowski, U., Hahn, T., Korda, A., Dwyer, D. B., Ruef, A., Haas, S. S., Rosen, M., Lichtenstein, T., Ruhrmann, S., Kambeitz, J., Salokangas, R. K. R., Pantelis, C., … the PRONIA Consortium. (2022). The impact of visual dysfunctions in recent-onset psychosis and clinical high-risk state for psychosis. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology. https://doi.org/10.1038/s41386-022-01385-3

  • Koutsouleris, N., Pantelis, C., Velakoulis, D., McGuire, P., Dwyer, D. B., Urquijo-Castro, M.-F., Paul, R., Dong, S., Popovic, D., Oeztuerk, O., Kambeitz, J., Salokangas, R. K. R., Hietala, J., Bertolino, A., Brambilla, P., Upthegrove, R., Wood, S. J., Lencer, R., Borgwardt, S., … International FTD-Genetics Consortium (IFGC), the German Frontotemporal Lobar Degeneration (FTLD) Consortium, and the PRONIA Consortium. (2022). Exploring Links Between Psychosis and Frontotemporal Dementia Using Multimodal Machine Learning: Dementia Praecox Revisited. JAMA Psychiatry . https://doi.org/10.1001/jamapsychiatry.2022.2075

  • Rosen, M., Betz, L. T., Montag, C., Kannen, C., & Kambeitz, J. (2022). Transdiagnostic Psychopathology in a Help-Seeking Population of an Early Recognition Center for Mental Disorders: Protocol for an Experience Sampling Study. JMIR Research Protocols, 11(8), e35206.

  • Betz, L. T., Rosen, M., Salokangas, R. K. R., & Kambeitz, J. (2022). Disentangling the impact of childhood abuse and neglect on depressive affect in adulthood: A machine learning approach in a general population sample. Journal of Affective Disorders, 315, 17–26.

  • Dwyer, D. B., Buciuman, M.-O., Ruef, A., Kambeitz, J., Sen Dong, M., Stinson, C., Kambeitz-Ilankovic, L., Degenhardt, F., Sanfelici, R., Antonucci, L. A., Lalousis, P. A., Wenzel, J., Urquijo-Castro, M. F., Popovic, D., Oeztuerk, O. F., Haas, S. S., Weiske, J., Hauke, D., Neufang, S., … PRONIA Consortium. (2022). Clinical, Brain, and Multilevel Clustering in Early Psychosis and Affective Stages. JAMA Psychiatry . https://doi.org/10.1001/jamapsychiatry.2022.1163

  • Lalousis, P. A., Schmaal, L., Wood, S. J., Reniers, R. L. E. P., Barnes, N. M., Chisholm, K., Griffiths, S. L., Stainton, A., Wen, J., Hwang, G., Davatzikos, C., Wenzel, J., Kambeitz-Ilankovic, L., Andreou, C., Bonivento, C., Dannlowski, U., Ferro, A., Lichtenstein, T., Riecher-Rössler, A., … PRONIA Consortium. (2022). Neurobiologically based stratification of recent-onset depression and psychosis: Identification of two distinct transdiagnostic phenotypes. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2022.03.021

  • Antonucci, L. A., Penzel, N., Sanfelici, R., Pigoni, A., Kambeitz-Ilankovic, L., Dwyer, D., Ruef, A., Sen Dong, M., Öztürk, Ö. F., Chisholm, K., Haidl, T., Rosen, M., Ferro, A., Pergola, G., Andriola, I., Blasi, G., Ruhrmann, S., Schultze-Lutter, F., Falkai, P., … PRONIA Consortium. (2022). Using combined environmental-clinical classification models to predict role functioning outcome in clinical high-risk states for psychosis and recent-onset depression. The British Journal of Psychiatry: The Journal of Mental Science, 220(4), 1–17.

  • Herstell S, Betz LT, Penzel N, Chechelnizki R, Filihagh L, Antonucci L, Kambeitz J (2021): Insecure attachment as a transdiagnostic risk factor for major psychiatric conditions: A meta-analysis in bipolar disorder, depression and schizophrenia spectrum disorder. J Psychiatr Res. 2021 Oct 11;144:190-201. doi: 10.1016/j.jpsychires.2021.10.002. Online ahead of print.PMID: 34678669

 

  • Oeztuerk OF, Pigoni A, Wenzel J, Haas SS, Popovic D, Ruef A, Dwyer DB, Kambeitz-Ilankovic L, Ruhrmann S, Chisholm K, Lalousis P, Griffiths SL, Lichtenstein T, Rosen M, Kambeitz J, Schultze-Lutter F, Liddle P, Upthegrove R, Salokangas RKR, Pantelis C, Meisenzahl E, Wood SJ, Brambilla P, Borgwardt S, Falkai P, Antonucci LA, Koutsouleris N; PRONIA Consortium (2021): The clinical relevance of formal thought disorder in the early stages of psychosis: results from the PRONIA study. Eur Arch Psychiatry Clin Neurosci. 2021 Sep 17. doi: 10.1007/s00406-021-01327-y. Online ahead of print.PMID: 34535813
     

  • Sanfelici R, Ruef A, Antonucci LA, Penzel N, Sotiras A, Dong MS, Urquijo-Castro M, Wenzel J, Kambeitz-Ilankovic L, Hettwer MD, Ruhrmann S, Chisholm K, Riecher-Rössler A, Falkai P, Pantelis C, Salokangas RKR, Lencer R, Bertolino A, Kambeitz J, Meisenzahl E, Borgwardt S, Brambilla P, Wood SJ, Upthegrove R, Schultze-Lutter F, Koutsouleris N, Dwyer DB; PRONIA Consortium (2021): Novel Gyrification Networks Reveal Links with Psychiatric Risk Factors in Early Illness. Cereb Cortex. 2021 Sep 14:bhab288. doi: 10.1093/cercor/bhab288. Online ahead of print.PMID: 34519351
     

  • Koutsouleris N, Worthington M, Dwyer DB, Kambeitz-Ilankovic L, Sanfelici R, Fusar-Poli P, Rosen M, Ruhrmann S, Anticevic A, Addington J, Perkins DO, Bearden CE, Cornblatt BA, Cadenhead KS, Mathalon DH, McGlashan T, Seidman L, Tsuang M, Walker EF, Woods SW, Falkai P, Lencer R, Bertolino A, Kambeitz J, Schultze-Lutter F, Meisenzahl E, Salokangas RKR, Hietala J, Brambilla P, Upthegrove R, Borgwardt S, Wood S, Gur RE, McGuire P, Cannon TD (2021): Toward Generalizable and Transdiagnostic Tools for Psychosis Prediction: An Independent Validation and Improvement of the NAPLS-2 Risk Calculator in the Multisite PRONIA Cohort. Biol Psychiatry. 2021 Nov 1;90(9):632-642. doi: 10.1016/j.biopsych.2021.06.023. Epub 2021 Jul 6.PMID: 34482951
     

  • Haidl TK, Hedderich DM, Rosen M, Kaiser N, Seves M, Lichtenstein T, Penzel N, Wenzel J, Kambeitz-Ilankovic L, Ruef A, Popovic D, Schultze-Lutter F, Chisholm K, Upthegrove R, Salokangas RKR, Pantelis C, Meisenzahl E, Wood SJ, Brambilla P, Borgwardt S, Ruhrmann S, Kambeitz J, Koutsouleris N (2021): The non-specific nature of mental health and structural brain outcomes following childhood trauma. Psychol Med. 2021 Jul 6:1-10. doi: 10.1017/S0033291721002439
     

  • Preuss UW, Huestis MA, Schneider M, Hermann D, Lutz B, Hasan A, Kambeitz J, Wong JWM, Hoch E (2021): Cannabis Use and Car Crashes: A Review. Front Psychiatry. 2021 May 28;12:643315. doi: 10.3389/fpsyt.2021.643315. eCollection 2021.
     

  • Chamorro Y, Betz LT, Philipsen A, Kambeitz J, Ettinger U (2021): The Eyes Have It: A Meta-analysis of Oculomotor Inhibition in Attention-Deficit/Hyperactivity Disorder. Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 May 27:S2451-9022(21)00144-0. doi: 10.1016/j.bpsc.2021.05.004.
     

  • Goerigk SA, Padberg F, Chekroud A, Kambeitz J, Bühner M, Brunoni AR (2021): Parsing the antidepressant effects of non-invasive brain stimulation and pharmacotherapy: A symptom clustering approach on ELECT-TDCS. Brain Stimul. 2021 Jul-Aug;14(4):906-912. doi: 10.1016/j.brs.2021.05.008. Epub 2021 May 26.
     

  • Hauke DJ, Schmidt A, Studerus E, Andreou C, Riecher-Rössler A, Radua J, Kambeitz J, Ruef A, Dwyer DB, Kambeitz-Ilankovic L, Lichtenstein T, Sanfelici R, Penzel N, Haas SS, Antonucci LA, Lalousis PA, Chisholm K, Schultze-Lutter F, Ruhrmann S, Hietala J, Brambilla P, Koutsouleris N, Meisenzahl E, Pantelis C, Rosen M, Salokangas RKR, Upthegrove R, Wood SJ, Borgwardt S; PRONIA Group (2021): Multimodal prognosis of negative symptom severity in individuals at increased risk of developing psychosis. Transl Psychiatry. 2021 May 24;11(1):312. doi: 10.1038/s41398-021-01409-4
     

  • Haidl TK, Gruen M, Dizinger J, Rosen M, Doll CM, Penzel N, Daum L, Große Hokamp N, Klosterkötter J, Ruhrmann S, Vogeley K, Schultze-Lutter F, Kambeitz J (2021): Is there a diagnosis-specific influence of childhood trauma on later educational attainment? A machine learning analysis in a large help-seeking sample. J Psychiatr Res. 2021 Jun;138:591-597. doi: 10.1016/j.jpsychires.2021.04.040. Epub 2021 Apr 30.
     

  • Padberg F, Bulubas L, Mizutani-Tiebel Y, Burkhardt G, Kranz GS, Koutsouleris N, Kambeitz J, Hasan A, Takahashi S, Keeser D, Goerigk S, Brunoni AR (2021): The intervention, the patient and the illness - Personalizing non-invasive brain stimulation in psychiatry. Exp Neurol. 2021 Jul;341:113713. doi: 10.1016/j.expneurol.2021.113713. Epub 2021 Mar 31.
     

  • Lalousis PA, Wood SJ, Schmaal L, Chisholm K, Griffiths SL, Reniers RLEP, Bertolino A, Borgwardt S, Brambilla P, Kambeitz J, Lencer R, Pantelis C, Ruhrmann S, Salokangas RKR, Schultze-Lutter F, Bonivento C, Dwyer D, Ferro A, Haidl T, Rosen M, Schmidt A, Meisenzahl E, Koutsouleris N, Upthegrove R; PRONIA Consortium (2021): Heterogeneity and Classification of Recent Onset Psychosis and Depression: A Multimodal Machine Learning Approach. Schizophr Bull. 2021 Jul 8;47(4):1130-1140. doi: 10.1093/schbul/sbaa185.
     

  • Antonucci LA, Penzel N, Pigoni A, Dominke C, Kambeitz J, Pergola G (2020): Flexible and specific contributions of thalamic subdivisions to human cognition. Neurosci Biobehav Rev. 2021 May;124:35-53. DOI: 10.1016/j.neubiorev.2021.01.014. Epub 2021 Jan 23.
     

  • Wenzel J, Haas SS,  Dwyer DB, Ruef A, Oeztuerk OF, Antonucci LA, von Saldern S, Bonivento C, Garzitto M, Ferro A, Paolini M, Blautzik J, Borgwardt S, Brambilla P, Meisenzahl E, Salokangas RKR, Upthegrove R, Wood SJ, Kambeitz J, Koutsouleris N, Kambeitz-Ilankovic L, PRONIA consortium (2021): Cognitive subtypes in recent onset psychosis: distinct neurobiological fingerprints? Neuropsychopharmacology. DOI: https://doi.org/10.1038/s41386-021-00963-1
     

  • Penzel N, Antonucci LA, Betz LT, Sanfelici R, Weiske J, Pogarell O, Cumming P, Quednow BB, Howes O, Falkai P, Upthegrove R, Bertolino A, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Rosen M, Haidl T, Kambeitz-Ilankovic L, Ruhrmann S, Salokangas RRK, Pantelis C, Wood SJ, Koutsouleris N, Kambeitz J, PRONIA Consortium (2021): Association between age of cannabis initiation and gray matter covariance networks in recent onset psychosis. Neuropsychopharmacology. DOI: 10.1038/s41386-021-00977-9.
     

  • Rosen M, Betz LT, Schultze-Lutter F, Chisholm K, Haidl TK, Kambeitz-Ilankovic L, Bertolino A, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Ruhrmann S, Salokangas RKR, Upthegrove R, Wood SJ, Koutsouleris N, Kambeitz J, PRONIA Consortium (2021): Towards Clinical Application of Prediction Models for Transition to Psychosis: A Systematic Review and External Validation Study in the PRONIA Sample. Neurosci Biobehav Rev. 2021 Feb 23;S0149-7634(21)00086-5. DOI: 10.1016/j.neubiorev.2021.02.03
     

  • Betz LT, Penzel N, Kambeitz-Ilankovic L, Rosen M, Chisholm K, Stainton A, Haidl TK, Wenzel J, Bertolino A, Borgwardt S, Brambilla P, Lencer R, Meisenzahl E, Ruhrmann S, Salokangas RKR, Schultze-Lutter F, Wood SJ, Upthegrove R, Koutsouleris N, Kambeitz J, PRONIA consortium (2020): General psychopathology links burden of recent life events and psychotic symptoms in a network approach. npj Schizophrenia volume 6, Article number: 40. DOI: https://doi.org/10.1038/s41537-020-00129-w
     

  • Betz LT, Penzel N, Rosen M, Kambeitz J (2020): Relationships between childhood trauma and perceived stress in the general population: a network perspective. Psychol Med 1–11. DOI: 10.1017/S003329172000135X

  • Kambeitz J, Goerigk S, Gattaz W, Falkai P, Benseñor IM, Lotufo PA, et al. (2020): Clinical patterns differentially predict response to transcranial direct current stimulation (tDCS) and escitalopram in major depression: A machine learning analysis of the ELECT-TDCS study. J Affect Disord 265: 460–467. DOI: 10.1016/j.jad.2020.01.118

  • Proebstl L, Kamp F, Manz K, Krause D, Adorjan K, Pogarell O, ..., Kambeitz, J. (2019): Effects of stimulant drug use on the dopaminergic system: A systematic review and meta-analysis of in vivo neuroimaging studies. Eur Psychiatry 59: 15–24. DOI: 10.1016/j.eurpsy.2019.03.003

  • Kambeitz-Ilankovic L, Betz LT, Dominke C, Haas SS, Subramaniam K, Fisher M, et al. (2019): Multi-outcome meta-analysis (MOMA) of cognitive remediation in schizophrenia: Revisiting the relevance of human coaching and elucidating interplay between multiple outcomes. Neurosci Biobehav Rev 107: 828–845. DOI: 10.1016/j.neubiorev.2019.09.031

  • Kamp F, Proebstl L, Penzel N, Adorjan K, Ilankovic A, Pogarell O, ..., Kambeitz, J. (2019): Effects of sedative drug use on the dopamine system: a systematic review and meta-analysis of in vivo neuroimaging studies. Neuropsychopharmacology 44: 660–667. DOI: 10.1038/s41386-018-0191-9

  • Betz LT, Brambilla P, Ilankovic A, Premkumar P, Kim M-S, Raffard S, et al. (2019): Deciphering reward-based decision-making in schizophrenia: A meta-analysis and behavioral modeling of the Iowa Gambling Task. Schizophr Res 204: 7–15. DOI: 10.1016/j.schres.2018.09.009

  • Koutsouleris N, Kambeitz-Ilankovic L, Ruhrmann S, Rosen M, Ruef A, Dwyer DB, et al. (2018): Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis. JAMA Psychiatry 75: 1156–1172. DOI: 10.1001/jamapsychiatry.2018.2165

  • Steffens M, Meyhöfer I, Fassbender K, Ettinger U, Kambeitz J (2018): Association of Schizotypy With Dimensions of Cognitive Control: A Meta-Analysis. Schizophr Bull 44: S512–S524. DOI: 10.1093/schbul/sby030

  • Kambeitz J, Cabral C, Sacchet MD, Gotlib IH, Zahn R, Serpa MH, et al. (2017): Detecting Neuroimaging Biomarkers for Depression: A Meta-analysis of Multivariate Pattern Recognition Studies. Biol Psychiatry 82: 330–338. DOI: 10.1016/j.biopsych.2016.10.028

  • Kambeitz J, la Fougère C, Werner N, Pogarell O, Riedel M, Falkai P, Ettinger U (2016): Nicotine-dopamine-transporter interactions during reward-based decision making. Eur Neuropsychopharmacol 26: 938–947. DOI: j.euroneuro.2016.03.011

  • Kambeitz J, Kambeitz-Ilankovic L, Cabral C, Dwyer DB, Calhoun VD, van den Heuvel MP, et al. (2016): Aberrant Functional Whole-Brain Network Architecture in Patients With Schizophrenia: A Meta-analysis. Schizophr Bull 42 Suppl 1: S13–21. DOI: 10.1093/schbul/sbv174

For a complete list of publications, please click here.

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