Dr. Norman Scheel


Research Associate
Michigan State University
Radiology Human Medicine Faculty
Lansing, MI
USA

Email:
Phone:
Fax:

 

Research

 

Classification of neurodegenerative brain states based on multivariate fMRI data

 

In medicine, biomarkers associated with a specific disease are often used as diagnostic tools. In particular, the intrinsic functional organization of the human brain, assessed by resting-state fMRI, has gained increasing attention. Given the myriad of parameters of spatio-temporal fMRI-data, one major challenge in this research is to find those features that are most predictive for a given disease.

 

We use machine learning approaches on resting-state fMRI data to unravel differences in brain connectivity in different subject groups. Especiallly comparing the predictive value of fine-scale and global connectomes leads the way to standardized methods for the identification of resting-state biomarkers.

 

Publikationen

2015

  • Norman Scheel and Andrea Esswanger and Thomas F. Münte and Marcus Heldmann and Ulrike M. Krämer and Amir Madany Mamlouk: Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity. Bildverarbeitung für die Medizin, Informatik aktuell, pp. 371-376, 2015
    BibTeX
    @article{ScEsMuHeKrMa15,
    author = {Norman Scheel and Andrea Esswanger and Thomas F. M{\"u}nte and Marcus Heldmann and Ulrike M. Kr{\"a}mer and Amir Madany Mamlouk},
    title = {Selection of {S}eeds for {R}esting-{S}tate f{MRI}-{B}ased {P}rediction of {I}ndividual {B}rain {M}aturity},
    journal = {Bildverarbeitung f{\"u}r die {M}edizin, Informatik aktuell},
    pages = {371--376},
    year = {2015},
    }
    
    

2014

  • Norman Scheel and Catie Chang and Amir Madany Mamlouk: The importance of physiological noise regression in high temporal resolution fMRI. in Artificial Neural Networks - ICANN 2014, pp. 540-547, Springer, 2014
    BibTeX
    @inproceedings{ScChMa14,
    author = {Norman Scheel and Catie Chang and Amir Madany Mamlouk},
    title = {{T}he importance of physiological noise regression in high temporal resolution f{MRI}},
    booktitle = {Artificial Neural Networks - ICANN 2014},
    pages = {540--547},
    publisher = {Springer},
    series = {Lecture Notes in Computer Science (LNCS) 8681:540--547},
    year = {2014},
    }