Dr. Norman Scheel
Research Associate
Michigan State University
Radiology Human Medicine Faculty
Lansing, MI
USA
| Email: | scheelno(at)msu.edu |
| Phone: |
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
2018
{D}imensional {C}omplexity of the {R}esting {B}rain in {H}ealthy {A}ging, {U}sing a {N}ormalized MPSE, Frontiers in Human Neuroscience , vol. 12, pp. 451, 2018.
| DOI: | 10.3389/fnhum.2018.00451 |
| Datei: | fnhum.2018.00451 |
| Bibtex: |  @article{ScFrMuMa2018,
author = {Scheel, Norman and Franke, Eric and M{\"u}nte, Thomas F. and Madany Mamlouk, Amir},
title = {{D}imensional {C}omplexity of the {R}esting {B}rain in {H}ealthy {A}ging, {U}sing a {N}ormalized MPSE},
journal = {Frontiers in Human Neuroscience},
volume = {12},
year = {2018},
pages = {451},
doi = {10.3389/fnhum.2018.00451},
url = {https://doi.org/10.3389/fnhum.2018.00451}
}
|
2015
On the Selection of Seeds for Resting-State fMRI-Based Prediction of Individual Brain Maturity, Bildverarbeitung für die Medizin (BVM 2015), Informatik aktuell , pp. 371--376, 2015.
| Bibtex: | @article{ScEsMuHeKrMa2015,
author = {Scheel, Norman and Essenwanger, Andrea and M{\"u}nte, Thomas F. and Heldmann, Marcus and Kr{\"a}mer, Ulrike and Madany Mamlouk, Amir},
title = {On the Selection of Seeds for Resting-State fMRI-Based Prediction
of Individual Brain Maturity},
journal = {Bildverarbeitung f{\"u}r die Medizin (BVM 2015), Informatik aktuell},
pages = {371--376},
year = {2015}
}
|
Selection of {S}eeds for {R}esting-{S}tate f{MRI}-{B}ased {P}rediction of {I}ndividual {B}rain {M}aturity, Bildverarbeitung für die {M}edizin, 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
{T}he importance of physiological noise regression in high temporal resolution f{MRI}, in Artificial Neural Networks - ICANN 2014 , Springer, 2014. pp. 540--547.
| 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}
}
|
The importance of physiological noise regression in high temporal resolution fMRI, Artificial Neural Networks - ICANN 2014, LNCS , vol. 8681, pp. 540--547, 2014.
| Bibtex: | @article{ScChMa2014,
author = {Scheel, Norman and Chang, Catie and Madany Mamlouk, Amir},
title = {The importance of physiological noise regression in high temporal resolution fMRI},
journal = {Artificial Neural Networks - ICANN 2014, LNCS},
volume = {8681},
pages = {540--547},
year = {2014}
}
|
