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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

531 related articles for article (PubMed ID: 27179606)

  • 21. Implementation errors in the GingerALE Software: Description and recommendations.
    Eickhoff SB; Laird AR; Fox PM; Lancaster JL; Fox PT
    Hum Brain Mapp; 2017 Jan; 38(1):7-11. PubMed ID: 27511454
    [TBL] [Abstract][Full Text] [Related]  

  • 22. ALE Meta-Analysis Workflows Via the Brainmap Database: Progress Towards A Probabilistic Functional Brain Atlas.
    Laird AR; Eickhoff SB; Kurth F; Fox PM; Uecker AM; Turner JA; Robinson JL; Lancaster JL; Fox PT
    Front Neuroinform; 2009; 3():23. PubMed ID: 19636392
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A new meta-analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps.
    Radua J; Mataix-Cols D; Phillips ML; El-Hage W; Kronhaus DM; Cardoner N; Surguladze S
    Eur Psychiatry; 2012 Nov; 27(8):605-11. PubMed ID: 21658917
    [TBL] [Abstract][Full Text] [Related]  

  • 24. [Meta-analyses in clinical brain research].
    Eickhoff SB; Nickl-Jockschat T; Kurth F
    Nervenarzt; 2010 Jan; 81(1):32-8. PubMed ID: 20066395
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Brain activation in response to bladder filling in healthy adults: An activation likelihood estimation meta-analysis of neuroimaging studies.
    Arya NG; Weissbart SJ; Xu S; Rao H
    Neurourol Urodyn; 2017 Apr; 36(4):960-965. PubMed ID: 27367364
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Coordinate-based (ALE) meta-analysis of brain activation in patients with fibromyalgia.
    Dehghan M; Schmidt-Wilcke T; Pfleiderer B; Eickhoff SB; Petzke F; Harris RE; Montoya P; Burgmer M
    Hum Brain Mapp; 2016 May; 37(5):1749-58. PubMed ID: 26864780
    [TBL] [Abstract][Full Text] [Related]  

  • 27. BrainMap VBM: An environment for structural meta-analysis.
    Vanasse TJ; Fox PM; Barron DS; Robertson M; Eickhoff SB; Lancaster JL; Fox PT
    Hum Brain Mapp; 2018 Aug; 39(8):3308-3325. PubMed ID: 29717540
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Beyond consensus: Embracing heterogeneity in curated neuroimaging meta-analysis.
    Ngo GH; Eickhoff SB; Nguyen M; Sevinc G; Fox PT; Spreng RN; Yeo BTT
    Neuroimage; 2019 Oct; 200():142-158. PubMed ID: 31229658
    [TBL] [Abstract][Full Text] [Related]  

  • 29. A comparison of label-based review and ALE meta-analysis in the Stroop task.
    Laird AR; McMillan KM; Lancaster JL; Kochunov P; Turkeltaub PE; Pardo JV; Fox PT
    Hum Brain Mapp; 2005 May; 25(1):6-21. PubMed ID: 15846823
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Coordinate based meta-analysis of functional neuroimaging data; false discovery control and diagnostics.
    Tench CR; Tanasescu R; Auer DP; Constantinescu CS
    PLoS One; 2013; 8(7):e70143. PubMed ID: 23922941
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging.
    Brown DA; Lazar NA; Datta GS; Jang W; McDowell JE
    Neuroimage; 2014 Jan; 84():97-112. PubMed ID: 23981437
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Assessing robustness against potential publication bias in Activation Likelihood Estimation (ALE) meta-analyses for fMRI.
    Acar F; Seurinck R; Eickhoff SB; Moerkerke B
    PLoS One; 2018; 13(11):e0208177. PubMed ID: 30500854
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Assessing meta-regression methods for examining moderator relationships with dependent effect sizes: A Monte Carlo simulation.
    López-López JA; Van den Noortgate W; Tanner-Smith EE; Wilson SJ; Lipsey MW
    Res Synth Methods; 2017 Dec; 8(4):435-450. PubMed ID: 28556477
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Estimating the prevalence of missing experiments in a neuroimaging meta-analysis.
    Samartsidis P; Montagna S; Laird AR; Fox PT; Johnson TD; Nichols TE
    Res Synth Methods; 2020 Nov; 11(6):866-883. PubMed ID: 32860642
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Invariant structural and functional brain regions associated with tinnitus: A meta-analysis.
    Moring JC; Husain FT; Gray J; Franklin C; Peterson AL; Resick PA; Garrett A; Esquivel C; Fox PT
    PLoS One; 2022; 17(10):e0276140. PubMed ID: 36256642
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation.
    Yang Y; Fan L; Chu C; Zhuo J; Wang J; Fox PT; Eickhoff SB; Jiang T
    Neuroimage; 2016 Jan; 124(Pt A):300-309. PubMed ID: 26296500
    [TBL] [Abstract][Full Text] [Related]  

  • 37. 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]  

  • 38. Assessment of analysis-of-variance-based methods to quantify the random variations of observers in medical imaging measurements: guidelines to the investigator.
    Zeggelink WF; Hart AA; Gilhuijs KG
    Med Phys; 2004 Jul; 31(7):1996-2007. PubMed ID: 15305452
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies.
    Guolo A
    BMC Med Res Methodol; 2017 Jan; 17(1):6. PubMed ID: 28077079
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM.
    Albajes-Eizagirre A; Solanes A; Vieta E; Radua J
    Neuroimage; 2019 Feb; 186():174-184. PubMed ID: 30389629
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 27.