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 *

238 related articles for article (PubMed ID: 22227886)

  • 21. Visual network alterations in brain functional connectivity in chronic low back pain: A resting state functional connectivity and machine learning study.
    Shen W; Tu Y; Gollub RL; Ortiz A; Napadow V; Yu S; Wilson G; Park J; Lang C; Jung M; Gerber J; Mawla I; Chan ST; Wasan AD; Edwards RR; Kaptchuk T; Li S; Rosen B; Kong J
    Neuroimage Clin; 2019; 22():101775. PubMed ID: 30927604
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Toward discovery science of human brain function.
    Biswal BB; Mennes M; Zuo XN; Gohel S; Kelly C; Smith SM; Beckmann CF; Adelstein JS; Buckner RL; Colcombe S; Dogonowski AM; Ernst M; Fair D; Hampson M; Hoptman MJ; Hyde JS; Kiviniemi VJ; Kötter R; Li SJ; Lin CP; Lowe MJ; Mackay C; Madden DJ; Madsen KH; Margulies DS; Mayberg HS; McMahon K; Monk CS; Mostofsky SH; Nagel BJ; Pekar JJ; Peltier SJ; Petersen SE; Riedl V; Rombouts SA; Rypma B; Schlaggar BL; Schmidt S; Seidler RD; Siegle GJ; Sorg C; Teng GJ; Veijola J; Villringer A; Walter M; Wang L; Weng XC; Whitfield-Gabrieli S; Williamson P; Windischberger C; Zang YF; Zhang HY; Castellanos FX; Milham MP
    Proc Natl Acad Sci U S A; 2010 Mar; 107(10):4734-9. PubMed ID: 20176931
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Recursive cluster elimination based support vector machine for disease state prediction using resting state functional and effective brain connectivity.
    Deshpande G; Li Z; Santhanam P; Coles CD; Lynch ME; Hamann S; Hu X
    PLoS One; 2010 Dec; 5(12):e14277. PubMed ID: 21151556
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Detecting the Information of Functional Connectivity Networks in Normal Aging Using Deep Learning From a Big Data Perspective.
    Wen X; Dong L; Chen J; Xiang J; Yang J; Li H; Liu X; Luo C; Yao D
    Front Neurosci; 2019; 13():1435. PubMed ID: 32009894
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Does motion-related brain functional connectivity reflect both artifacts and genuine neural activity?
    Pujol J; Macià D; Blanco-Hinojo L; Martínez-Vilavella G; Sunyer J; de la Torre R; Caixàs A; Martín-Santos R; Deus J; Harrison BJ
    Neuroimage; 2014 Nov; 101():87-95. PubMed ID: 24999036
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Classifying and characterizing nicotine use disorder with high accuracy using machine learning and resting-state fMRI.
    Wetherill RR; Rao H; Hager N; Wang J; Franklin TR; Fan Y
    Addict Biol; 2019 Jul; 24(4):811-821. PubMed ID: 29949234
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prediction and classification of sleep quality based on phase synchronization related whole-brain dynamic connectivity using resting state fMRI.
    Zhou Z; Cai B; Zhang G; Zhang A; Calhoun VD; Wang YP
    Neuroimage; 2020 Nov; 221():117190. PubMed ID: 32711063
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Emulative, coherent, and causal dynamics between large-scale brain networks are neurobiomarkers of Accelerated Cognitive Ageing in epilepsy.
    Bernas A; Breuer LEM; Aldenkamp AP; Zinger S
    PLoS One; 2021; 16(4):e0250222. PubMed ID: 33861794
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Characterization of relapsing-remitting multiple sclerosis patients using support vector machine classifications of functional and diffusion MRI data.
    Zurita M; Montalba C; Labbé T; Cruz JP; Dalboni da Rocha J; Tejos C; Ciampi E; Cárcamo C; Sitaram R; Uribe S
    Neuroimage Clin; 2018; 20():724-730. PubMed ID: 30238916
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Connectome-based models predict attentional control in aging adults.
    Fountain-Zaragoza S; Samimy S; Rosenberg MD; Prakash RS
    Neuroimage; 2019 Feb; 186():1-13. PubMed ID: 30394324
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.
    Chen Y; Yang W; Long J; Zhang Y; Feng J; Li Y; Huang B
    PLoS One; 2015; 10(4):e0124153. PubMed ID: 25885059
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Decoding lifespan changes of the human brain using resting-state functional connectivity MRI.
    Wang L; Su L; Shen H; Hu D
    PLoS One; 2012; 7(8):e44530. PubMed ID: 22952990
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Age differences in predicting working memory performance from network-based functional connectivity.
    Pläschke RN; Patil KR; Cieslik EC; Nostro AD; Varikuti DP; Plachti A; Lösche P; Hoffstaedter F; Kalenscher T; Langner R; Eickhoff SB
    Cortex; 2020 Nov; 132():441-459. PubMed ID: 33065515
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Cognitive and default-mode resting state networks: do male and female brains "rest" differently?
    Weissman-Fogel I; Moayedi M; Taylor KS; Pope G; Davis KD
    Hum Brain Mapp; 2010 Nov; 31(11):1713-26. PubMed ID: 20725910
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Topological organization of functional brain networks in healthy children: differences in relation to age, sex, and intelligence.
    Wu K; Taki Y; Sato K; Hashizume H; Sassa Y; Takeuchi H; Thyreau B; He Y; Evans AC; Li X; Kawashima R; Fukuda H
    PLoS One; 2013; 8(2):e55347. PubMed ID: 23390528
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Reconfiguration of Brain Network Architectures between Resting-State and Complexity-Dependent Cognitive Reasoning.
    Hearne LJ; Cocchi L; Zalesky A; Mattingley JB
    J Neurosci; 2017 Aug; 37(35):8399-8411. PubMed ID: 28760864
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A multivariate analysis of age-related differences in functional networks supporting conflict resolution.
    Salami A; Rieckmann A; Fischer H; Bäckman L
    Neuroimage; 2014 Feb; 86():150-63. PubMed ID: 23939020
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Working memory load-dependent changes in cortical network connectivity estimated by machine learning.
    Eryilmaz H; Dowling KF; Hughes DE; Rodriguez-Thompson A; Tanner A; Huntington C; Coon WG; Roffman JL
    Neuroimage; 2020 Aug; 217():116895. PubMed ID: 32360929
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Graph Theory Analysis of Functional Connectivity Combined with Machine Learning Approaches Demonstrates Widespread Network Differences and Predicts Clinical Variables in Temporal Lobe Epilepsy.
    Mazrooyisebdani M; Nair VA; Garcia-Ramos C; Mohanty R; Meyerand E; Hermann B; Prabhakaran V; Ahmed R
    Brain Connect; 2020 Feb; 10(1):39-50. PubMed ID: 31984759
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.
    Guo H; Li Y; Mensah GK; Xu Y; Chen J; Xiang J; Chen D
    Comput Math Methods Med; 2019; 2019():9108108. PubMed ID: 31781290
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.