232 related articles for article (PubMed ID: 22800732)
1. Increasing power for voxel-wise genome-wide association studies: the random field theory, least square kernel machines and fast permutation procedures.
Ge T; Feng J; Hibar DP; Thompson PM; Nichols TE
Neuroimage; 2012 Nov; 63(2):858-73. PubMed ID: 22800732
[TBL] [Abstract][Full Text] [Related]
2. Voxelwise gene-wide association study (vGeneWAS): multivariate gene-based association testing in 731 elderly subjects.
Hibar DP; Stein JL; Kohannim O; Jahanshad N; Saykin AJ; Shen L; Kim S; Pankratz N; Foroud T; Huentelman MJ; Potkin SG; Jack CR; Weiner MW; Toga AW; Thompson PM;
Neuroimage; 2011 Jun; 56(4):1875-91. PubMed ID: 21497199
[TBL] [Abstract][Full Text] [Related]
3. Voxelwise genome-wide association study (vGWAS).
Stein JL; Hua X; Lee S; Ho AJ; Leow AD; Toga AW; Saykin AJ; Shen L; Foroud T; Pankratz N; Huentelman MJ; Craig DW; Gerber JD; Allen AN; Corneveaux JJ; Dechairo BM; Potkin SG; Weiner MW; Thompson P;
Neuroimage; 2010 Nov; 53(3):1160-74. PubMed ID: 20171287
[TBL] [Abstract][Full Text] [Related]
4. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease.
Stein JL; Hua X; Morra JH; Lee S; Hibar DP; Ho AJ; Leow AD; Toga AW; Sul JH; Kang HM; Eskin E; Saykin AJ; Shen L; Foroud T; Pankratz N; Huentelman MJ; Craig DW; Gerber JD; Allen AN; Corneveaux JJ; Stephan DA; Webster J; DeChairo BM; Potkin SG; Jack CR; Weiner MW; Thompson PM;
Neuroimage; 2010 Jun; 51(2):542-54. PubMed ID: 20197096
[TBL] [Abstract][Full Text] [Related]
5. Identifying Multimodal Intermediate Phenotypes Between Genetic Risk Factors and Disease Status in Alzheimer's Disease.
Hao X; Yao X; Yan J; Risacher SL; Saykin AJ; Zhang D; Shen L;
Neuroinformatics; 2016 Oct; 14(4):439-52. PubMed ID: 27277494
[TBL] [Abstract][Full Text] [Related]
6. Faster permutation inference in brain imaging.
Winkler AM; Ridgway GR; Douaud G; Nichols TE; Smith SM
Neuroimage; 2016 Nov; 141():502-516. PubMed ID: 27288322
[TBL] [Abstract][Full Text] [Related]
7. Fast and powerful heritability inference for family-based neuroimaging studies.
Ganjgahi H; Winkler AM; Glahn DC; Blangero J; Kochunov P; Nichols TE
Neuroimage; 2015 Jul; 115():256-68. PubMed ID: 25812717
[TBL] [Abstract][Full Text] [Related]
8. Powerful and Adaptive Testing for Multi-trait and Multi-SNP Associations with GWAS and Sequencing Data.
Kim J; Zhang Y; Pan W;
Genetics; 2016 Jun; 203(2):715-31. PubMed ID: 27075728
[TBL] [Abstract][Full Text] [Related]
9. Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer's disease.
Kim M; Wu R; Yao X; Saykin AJ; Moore JH; Shen L;
BMC Med Genomics; 2022 Aug; 15(Suppl 2):168. PubMed ID: 35915443
[TBL] [Abstract][Full Text] [Related]
10. Voxel-wise co-analysis of macro- and microstructural brain alteration in mild cognitive impairment and Alzheimer's disease using anatomical and diffusion MRI.
Cardenas VA; Tosun D; Chao LL; Fletcher PT; Joshi S; Weiner MW; Schuff N
J Neuroimaging; 2014; 24(5):435-43. PubMed ID: 23421601
[TBL] [Abstract][Full Text] [Related]
11. MIDAS: Regionally linear multivariate discriminative statistical mapping.
Varol E; Sotiras A; Davatzikos C
Neuroimage; 2018 Jul; 174():111-126. PubMed ID: 29524624
[TBL] [Abstract][Full Text] [Related]
12. Tensor-based morphometry with stationary velocity field diffeomorphic registration: application to ADNI.
Bossa M; Zacur E; Olmos S;
Neuroimage; 2010 Jul; 51(3):956-69. PubMed ID: 20211269
[TBL] [Abstract][Full Text] [Related]
13. Multivariate statistical analysis of diffusion imaging parameters using partial least squares: Application to white matter variations in Alzheimer's disease.
Konukoglu E; Coutu JP; Salat DH; Fischl B;
Neuroimage; 2016 Jul; 134():573-586. PubMed ID: 27103138
[TBL] [Abstract][Full Text] [Related]
14. False positives in neuroimaging genetics using voxel-based morphometry data.
Silver M; Montana G; Nichols TE;
Neuroimage; 2011 Jan; 54(2):992-1000. PubMed ID: 20849959
[TBL] [Abstract][Full Text] [Related]
15. Permutation and parametric tests for effect sizes in voxel-based morphometry of gray matter volume in brain structural MRI.
Dickie DA; Mikhael S; Job DE; Wardlaw JM; Laidlaw DH; Bastin ME
Magn Reson Imaging; 2015 Dec; 33(10):1299-1305. PubMed ID: 26253778
[TBL] [Abstract][Full Text] [Related]
16. A kernel machine method for detecting effects of interaction between multidimensional variable sets: an imaging genetics application.
Ge T; Nichols TE; Ghosh D; Mormino EC; Smoller JW; Sabuncu MR;
Neuroimage; 2015 Apr; 109():505-514. PubMed ID: 25600633
[TBL] [Abstract][Full Text] [Related]
17. Accelerated vs. unaccelerated serial MRI based TBM-SyN measurements for clinical trials in Alzheimer's disease.
Vemuri P; Senjem ML; Gunter JL; Lundt ES; Tosakulwong N; Weigand SD; Borowski BJ; Bernstein MA; Zuk SM; Lowe VJ; Knopman DS; Petersen RC; Fox NC; Thompson PM; Weiner MW; Jack CR;
Neuroimage; 2015 Jun; 113():61-9. PubMed ID: 25797830
[TBL] [Abstract][Full Text] [Related]
18. Gray matter heritability in family-based and population-based studies using voxel-based morphometry.
van der Lee SJ; Roshchupkin GV; Adams HH; Schmidt H; Hofer E; Saba Y; Schmidt R; Hofman A; Amin N; van Duijn CM; Vernooij MW; Ikram MA; Niessen WJ
Hum Brain Mapp; 2017 May; 38(5):2408-2423. PubMed ID: 28145022
[TBL] [Abstract][Full Text] [Related]
19. A robust brain signature region approach for episodic memory performance in older adults.
Fletcher E; Gavett B; Crane P; Soldan A; Hohman T; Farias S; Widaman K; Groot C; Renteria MA; Zahodne L; DeCarli C; Mungas D;
Brain; 2021 May; 144(4):1089-1102. PubMed ID: 33895818
[TBL] [Abstract][Full Text] [Related]
20. Spatial correlations exploitation based on nonlocal voxel-wise GWAS for biomarker detection of AD.
Huang M; Deng C; Yu Y; Lian T; Yang W; Feng Q;
Neuroimage Clin; 2019; 21():101642. PubMed ID: 30584014
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]