Applications of neural network analyses to in vivo 1H magnetic resonance spectroscopy of Parkinson disease patients.
OBJECTIVE
To apply neural network analyses to in vivo magnetic resonance spectra of controls and Parkinson disease (PD) patients for the purpose of classification.


METHODS
Ninety-seven in vivo proton magnetic resonance spectra of the basal ganglia were recorded from 31 patients with (PD) and 14 age-matched healthy volunteers on a 1.5-T imager. The PD patients were grouped as follows: probable PD (N = 15), possible PD (N = 11), and atypical PD (N = 5). Total acquisition times of approximately five minutes were achieved with a TE (echo time) of 135 msec, a TR (repetition time) of 2000 msec, and 128 scan averages. Neural network (back propagation, Kohonen, probabilistic, and radial basis function) and related (generative topographic mapping) data analyses were performed.


RESULTS
Conventional data analysis showed no statistically significant differences in metabolite ratios based on measuring signal intensities. The trained networks could distinguish control from PD with considerable accuracy (true positive fraction 0.971, true negative fraction 0.933). When four classes were defined, approximately 88% of the predictions were correct. The multivariate analysis indicated metabolic changes in the basal ganglia in PD.


CONCLUSIONS
A variety of neural network and related approaches can be successfully applied to both qualitative visualization and classification of in vivo spectra of PD patients.
Axelson
David
D
MR Center, SINTEF Unimed, Trondheim, Norway. axelsond@kingston.net
Bakken
Inger Johanne
IJ
Susann Gribbestad
Ingrid
I
Ehrnholm
Benny
B
Nilsen
Gunnar
G
Aasly
Jan
J
D000368:Aged; D001224:Aspartic Acid / Q000031:analogs & derivatives* / Q000378:metabolism; D001479:Basal Ganglia / Q000378:metabolism*; D016022:Case-Control Studies; D002794:Choline / Q000378:metabolism; D003401:Creatine / Q000378:metabolism; D005260:Female; D006801:Humans; D009682:Magnetic Resonance Spectroscopy / Q000379:methods; D008297:Male; D008875:Middle Aged; D016571:Neural Networks, Computer; D010300:Parkinson Disease / Q000175:diagnosis* / Q000378:metabolism
D001224:Aspartic Acid; C000179:N-acetylaspartate; D003401:Creatine; D002794:Choline