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.
105 related articles for article (PubMed ID: 32750957)
21. Group-level spatio-temporal pattern recovery in MEG decoding using multi-task joint feature learning. Kia SM; Pedregosa F; Blumenthal A; Passerini A J Neurosci Methods; 2017 Jun; 285():97-108. PubMed ID: 28495369 [TBL] [Abstract][Full Text] [Related]
22. Multiclass fMRI data decoding and visualization using supervised self-organizing maps. Hausfeld L; Valente G; Formisano E Neuroimage; 2014 Aug; 96():54-66. PubMed ID: 24531045 [TBL] [Abstract][Full Text] [Related]
23. The Neural Dynamics of Attentional Selection in Natural Scenes. Kaiser D; Oosterhof NN; Peelen MV J Neurosci; 2016 Oct; 36(41):10522-10528. PubMed ID: 27733605 [TBL] [Abstract][Full Text] [Related]
24. Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data. Lee IS; Jung WM; Park HJ; Chae Y Neural Plast; 2020; 2020():8307580. PubMed ID: 32684924 [TBL] [Abstract][Full Text] [Related]
25. Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story? Sanfratello L; Houck JM; Calhoun VD Brain Connect; 2019 Apr; 9(3):251-262. PubMed ID: 30632385 [TBL] [Abstract][Full Text] [Related]
26. Decoding N400m Evoked Component: A Tutorial on Multivariate Pattern Analysis for OP-MEG Data. Wu H; Wang R; Ma Y; Liang X; Liu C; Yu D; An N; Ning X Bioengineering (Basel); 2024 Jun; 11(6):. PubMed ID: 38927845 [TBL] [Abstract][Full Text] [Related]
27. Neuromagnetic activation and oscillatory dynamics of stimulus-locked processing during naturalistic viewing. Nunes AS; Kozhemiako N; Moiseev A; Seymour RA; Cheung TPL; Ribary U; Doesburg SM Neuroimage; 2020 Aug; 216():116414. PubMed ID: 31794854 [TBL] [Abstract][Full Text] [Related]
28. Information spreading by a combination of MEG source estimation and multivariate pattern classification. Sato M; Yamashita O; Sato MA; Miyawaki Y PLoS One; 2018; 13(6):e0198806. PubMed ID: 29912968 [TBL] [Abstract][Full Text] [Related]
29. Mapping critical hubs of receptive and expressive language using MEG: A comparison against fMRI. Youssofzadeh V; Babajani-Feremi A Neuroimage; 2019 Nov; 201():116029. PubMed ID: 31325641 [TBL] [Abstract][Full Text] [Related]
30. Categorization for Faces and Tools-Two Classes of Objects Shaped by Different Experience-Differs in Processing Timing, Brain Areas Involved, and Repetition Effects. Kozunov V; Nikolaeva A; Stroganova TA Front Hum Neurosci; 2017; 11():650. PubMed ID: 29379426 [TBL] [Abstract][Full Text] [Related]
31. Quantifying the Test-Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity. Garcés P; Martín-Buro MC; Maestú F Brain Connect; 2016 Jul; 6(6):448-60. PubMed ID: 27212454 [TBL] [Abstract][Full Text] [Related]
32. Task- and stimulus-related cortical networks in language production: Exploring similarity of MEG- and fMRI-derived functional connectivity. Liljeström M; Stevenson C; Kujala J; Salmelin R Neuroimage; 2015 Oct; 120():75-87. PubMed ID: 26169324 [TBL] [Abstract][Full Text] [Related]
33. Hyperedge bundling: A practical solution to spurious interactions in MEG/EEG source connectivity analyses. Wang SH; Lobier M; Siebenhühner F; Puoliväli T; Palva S; Palva JM Neuroimage; 2018 Jun; 173():610-622. PubMed ID: 29378318 [TBL] [Abstract][Full Text] [Related]
34. Similarity-Based Fusion of MEG and fMRI Reveals Spatio-Temporal Dynamics in Human Cortex During Visual Object Recognition. Cichy RM; Pantazis D; Oliva A Cereb Cortex; 2016 Aug; 26(8):3563-3579. PubMed ID: 27235099 [TBL] [Abstract][Full Text] [Related]
35. The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis. Gardumi A; Ivanov D; Hausfeld L; Valente G; Formisano E; Uludağ K Neuroimage; 2016 May; 132():32-42. PubMed ID: 26899782 [TBL] [Abstract][Full Text] [Related]
36. Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest. Leonardi N; Richiardi J; Gschwind M; Simioni S; Annoni JM; Schluep M; Vuilleumier P; Van De Ville D Neuroimage; 2013 Dec; 83():937-50. PubMed ID: 23872496 [TBL] [Abstract][Full Text] [Related]
38. Categorical discrimination of human body parts by magnetoencephalography. Nakamura M; Yanagisawa T; Okamura Y; Fukuma R; Hirata M; Araki T; Kamitani Y; Yorifuji S Front Hum Neurosci; 2015; 9():609. PubMed ID: 26582986 [TBL] [Abstract][Full Text] [Related]
39. Similarity of individual functional brain connectivity patterns formed by music listening quantified with a data-driven approach. Karmonik C; Brandt A; Elias S; Townsend J; Silverman E; Shi Z; Frazier JT Int J Comput Assist Radiol Surg; 2020 Apr; 15(4):703-713. PubMed ID: 31655968 [TBL] [Abstract][Full Text] [Related]
40. Magnetoencephalography: in search of neural processes for visual motion information. Kaneoke Y Prog Neurobiol; 2006 Dec; 80(5):219-40. PubMed ID: 17113701 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]