Buchbeiträge (Auswahl)

Bzdok D, Karrer TM. Single-Subject Prediction: A Statistical Paradigm for Precision Psychiatry. In: Diwadkar V, Eickhoff SB (Ed.). Brain Network Dysfunction in Neuropsychiatric Illness: Methods, Applications and Implications. New York, USA: Springer, 2018, in press.

Bzdok D, Schulz MA, Lindquist M. Emerging Shifts in Neuroimaging Data Analysis in the Era of “Big Data”. In: Passos I, Mwangi B, Kapczinski F (Ed.). Personalized and Predictive Psychiatry. New York, USA: Springer, 2018, in press.

Bzdok D, Eickhoff SB. Statistical Learning of the Neurobiology of Schizophrenia: Neuroimaging Meta-Analyses and Machine-Learning in Schizophrenia Research. In: Abel T, Nickl-Jockschat T (Eds). The Neurobiology of Schizophrenia. Academic Press, London. 2016; 337-351. ISBN 9780128018293.

Bzdok, D, Eickhoff, SB. The resting-state physiology of the human cerebral cortex. In: Toga (Ed.), Brain Mapping: An Encyclopedic Reference. 2014, Oxford, UK: Elsevier.

Bzdok, D, Groß, D, Eickhoff SB. The neurobiology of moral cognition. In: J. Clausen., N. Levy (Eds.), Springer Handbook for Neuroethics. 2013, Heidelberg: Springer.

Eickhoff SB, Bzdok D. Database-driven identification of functional modules in the cerebral cortex. In: Geyer, S., Turner, R. (Eds.), Microstructural Parcellation of the Human Cerebral Cortex. 2012, Heidelberg: Springer.

Eickhoff SB, Bzdok D. Meta-analyses in basic and clinical neuroscience: State of the art and perspective. In: Ulmer, S., Jansen, O. (Eds.), fMRI – Basics and Clinical Applications, 2nd Ed. 2012, Heidelberg: Springer.