These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
192 related articles for article (PubMed ID: 23851955)
1. Identification of disease-related spatial covariance patterns using neuroimaging data. Spetsieris P; Ma Y; Peng S; Ko JH; Dhawan V; Tang CC; Eidelberg D J Vis Exp; 2013 Jun; (76):. PubMed ID: 23851955 [TBL] [Abstract][Full Text] [Related]
2. Characterization of disease-related covariance topographies with SSMPCA toolbox: effects of spatial normalization and PET scanners. Peng S; Ma Y; Spetsieris PG; Mattis P; Feigin A; Dhawan V; Eidelberg D Hum Brain Mapp; 2014 May; 35(5):1801-14. PubMed ID: 23671030 [TBL] [Abstract][Full Text] [Related]
3. Differential diagnosis of parkinsonian syndromes using PCA-based functional imaging features. Spetsieris PG; Ma Y; Dhawan V; Eidelberg D Neuroimage; 2009 May; 45(4):1241-52. PubMed ID: 19349238 [TBL] [Abstract][Full Text] [Related]
4. Spectral guided sparse inverse covariance estimation of metabolic networks in Parkinson's disease. Spetsieris PG; Eidelberg D Neuroimage; 2021 Feb; 226():117568. PubMed ID: 33246128 [TBL] [Abstract][Full Text] [Related]
5. The metabolic spatial covariance pattern of definite idiopathic normal pressure hydrocephalus: an FDG PET study with principal components analysis. Rau A; Schröter N; Blazhenets G; Maurer C; Urbach H; Meyer PT; Frings L Alzheimers Res Ther; 2023 Nov; 15(1):202. PubMed ID: 37980531 [TBL] [Abstract][Full Text] [Related]
6. Comparison of voxel- and volume-of-interest-based analyses in FDG PET scans of HIV positive and healthy individuals. Liow JS; Rehm K; Strother SC; Anderson JR; Morch N; Hansen LK; Schaper KA; Rottenberg DA J Nucl Med; 2000 Apr; 41(4):612-21. PubMed ID: 10768561 [TBL] [Abstract][Full Text] [Related]
7. Abnormal metabolic brain network associated with Parkinson's disease: replication on a new European sample. Tomše P; Jensterle L; Grmek M; Zaletel K; Pirtošek Z; Dhawan V; Peng S; Eidelberg D; Ma Y; Trošt M Neuroradiology; 2017 May; 59(5):507-515. PubMed ID: 28386687 [TBL] [Abstract][Full Text] [Related]
8. Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration. Klyuzhin IS; Fu JF; Hong A; Sacheli M; Shenkov N; Matarazzo M; Rahmim A; Stoessl AJ; Sossi V PLoS One; 2018; 13(11):e0206607. PubMed ID: 30395576 [TBL] [Abstract][Full Text] [Related]
9. Scaled subprofile modeling of resting state imaging data in Parkinson's disease: methodological issues. Spetsieris PG; Eidelberg D Neuroimage; 2011 Feb; 54(4):2899-914. PubMed ID: 20969965 [TBL] [Abstract][Full Text] [Related]
10. Classification of Parkinsonian syndromes from FDG-PET brain data using decision trees with SSM/PCA features. Mudali D; Teune LK; Renken RJ; Leenders KL; Roerdink JB Comput Math Methods Med; 2015; 2015():136921. PubMed ID: 25918550 [TBL] [Abstract][Full Text] [Related]
11. Parkinson's disease-related network topographies characterized with resting state functional MRI. Vo A; Sako W; Fujita K; Peng S; Mattis PJ; Skidmore FM; Ma Y; Uluğ AM; Eidelberg D Hum Brain Mapp; 2017 Feb; 38(2):617-630. PubMed ID: 27207613 [TBL] [Abstract][Full Text] [Related]
12. Feasibility of pharmacokinetic parametric PET images in scaled subprofile modelling using principal component analysis. Peretti DE; Renken RJ; Reesink FE; de Jong BM; De Deyn PP; Dierckx RAJO; Doorduin J; Boellaard R; Vállez García D Neuroimage Clin; 2021; 30():102625. PubMed ID: 33756179 [TBL] [Abstract][Full Text] [Related]