Back to Search
Start Over
NeAT: a nonlinear analysis toolbox for neuroimaging
- Source :
- Neuroinformatics, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2020
-
Abstract
- NeAT is a modular, flexible and user-friendly neuroimaging analysis toolbox for modeling linear and nonlinear effects overcoming the limitations of the standard neuroimaging methods which are solely based on linear models. NeAT provides a wide range of statistical and machine learning non-linear methods for model estimation, several metrics based on curve fitting and complexity for model inference and a graphical user interface (GUI) for visualization of results. We illustrate its usefulness on two study cases where non-linear effects have been previously established. Firstly, we study the nonlinear effects of Alzheimer’s disease on brain morphology (volume and cortical thickness). Secondly, we analyze the effect of the apolipoprotein APOE-e4 genotype on brain aging and its interaction with age. NeAT is fully documented and publicly distributed at https://imatge-upc.github.io/neat-tool/. This work has been partially supported by the project MALEGRA TEC2016-75976-R financed by the Spanish Ministerio de Economía y Competitividad and the European Regional Development Fund (ERDF). Adrià Casamitjana is supported by the Spanish “Ministerio de Educación, Cultura y Deporte” FPU Research Fellowship. Juan D. Gispert holds a “‘Ramón y Cajal’” fellowship (RYC-2013-13054). Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wpcontent/uploads/how to apply/ADNI Acknowledgement List.pdf.
- Subjects :
- Male
Aging
Computer science
Apolipoprotein E4
Inference
computer.software_genre
Machine Learning
0302 clinical medicine
Ciències de la salut::Medicina::Neurologia [Àrees temàtiques de la UPC]
Graphical user interface
0303 health sciences
General Neuroscience
Linear model
Brain
Alzheimer's disease
Magnetic Resonance Imaging
GAM
Neurology
Curve fitting
Female
Original Article
Informàtica::Intel·ligència artificial [Àrees temàtiques de la UPC]
APOE
Information Systems
SVR
Genotype
Neuroimaging
Nonlinear
Machine learning
03 medical and health sciences
Neurologia
Alzheimer Disease
Image Interpretation, Computer-Assisted
Aprenentatge automàtic
Humans
030304 developmental biology
Aged
business.industry
Brain morphometry
Visualization
Nonlinear system
Artificial intelligence
GLM
business
computer
030217 neurology & neurosurgery
Software
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Neuroinformatics, UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Accession number :
- edsair.doi.dedup.....9e3260b68d75994f07675b274cb255d3