Christian Habeck, PhD

  • Professor of Neurological Sciences (in Neurology and in the Taub Institute) at CUMC
Profile Headshot


Academic Appointments

  • Professor of Neurological Sciences (in Neurology and in the Taub Institute) at CUMC


  • German


  • Male

Credentials & Experience

Committees, Societies, Councils

Society for Neuroscience

Organization for Human Brainmapping

Honors & Awards

NIH/ NIBIB RO1EB006204 04/01/07 -03/31/10
Multivariate approaches to Neuroimaging Analysis
Role: PI

NIH/NIA 1R01AG026114-01A2 09/01/07-06/30/12
Early AD Detection with ASL MRI & Covariance Analysis
Role: PI


Dr. Habeck originally trained as a Particle Physicist in the UK, completing this studies with a PhD in 1998 from the University of Sussex. During the last years of his graduate training he became interested in the Neurosciences, leading him to move to the Neurosciences Institute in San Diego in 1998, spending 2.5 years pursuing large-scale neural networks models of the cat thalamocortical system as Postdoctoral Fellow under the guidance of Gerald Edelman. In 2000, Dr. Habeck moved to Columbia University and joined the Cognitive Neuroscience Division of the Taub Institute. He specializes in multivariate data analysis of PET and fMRI brain imaging data for the purposes of basic research and early detection of Alzheimer’s Disease. His general interests concern robustness and replication of empirical inference in neuroimaging.

Research Interests

  • Development of neuroimaging-based biomarkers for aging, psychiatric and degenerative disease
  • Multivariate analysis of clinical and basic neuroimaging data
  • Robustness analysis of pre-processing in functional MRI

Selected Publications

  1. Habeck C, Risacher S, Lee GJ, Glymour MM, Mormino E, Mukherjee S, Kim S, Nho K, DeCarli C, Saykin AJ, Crane PK; Alzheimer's Disease Neuroimaging Initiative. Relationship between baseline brain metabolism measured using [¹Ã¢ÂÂ¸F]FDG PET and memory and executive function in prodromal and early Alzheimer's disease. Brain Imaging Behav. 2012 Dec;6(4):568-83. doi: 10.1007/s11682-012-9208-x. PubMed PMID: 23179062; PubMed Central PMCID: PMC3532575.
  2. Habeck C, Steffener J, Rakitin B, Stern Y. Can the default-mode network be described with one spatial-covariance network? Brain Res. 2012 Aug 15;1468:38-51. doi: 10.1016/j.brainres.2012.05.050. Epub 2012 Jun 2. PubMed PMID: 22668988; PubMed Central PMCID: PMC3430376.
  3. Habeck C, Rakitin B, Steffener J, Stern Y. Contrasting visual working memory for verbal and non-verbal material with multivariate analysis of fMRI. Brain Res. 2012 Jul 27;1467:27-41. doi: 10.1016/j.brainres.2012.05.045. Epub 2012 May 28. PubMed PMID: 22652306; PubMed Central PMCID: PMC3398171.
  4. Habeck C, Moeller JR. Intrinsic functional-connectivity networks for diagnosis: just beautiful pictures? Brain Connect. 2011;1(2):99-103. doi: 10.1089/brain.2011.0021. Review. PubMed PMID: 22433005.
  5. Habeck CG. Basics of multivariate analysis in neuroimaging data. J Vis Exp. 2010 Jul 24;(41). doi:pii: 1988. 10.3791/1988. PubMed PMID: 20689509; PubMed Central PMCID: PMC3074457.
  6. Habeck C, Stern Y; Alzheimer's Disease Neuroimaging Initiative. Multivariate data analysis for neuroimaging data: overview and application to Alzheimer's disease. Cell Biochem Biophys. 2010 Nov;58(2):53-67. doi: 10.1007/s12013-010-9093-0. Review. PubMed PMID: 20658269; PubMed Central PMCID: PMC3001346.