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Items: 40

1.

Comparison of methods to identify modules in noisy or incomplete brain networks.

Williams N, Arnulfo G, Wang S, Nobili L, Palva S, Palva M.

Brain Connect. 2018 Dec 13. doi: 10.1089/brain.2018.0603. [Epub ahead of print]

PMID:
30543117
2.

Dynamic large-scale network synchronization from perception to action.

Hirvonen J, Monto S, Wang SH, Palva JM, Palva S.

Netw Neurosci. 2018 Oct 1;2(4):442-463. doi: 10.1162/netn_a_00039. eCollection 2018.

3.

Roles of Brain Criticality and Multiscale Oscillations in Temporal Predictions for Sensorimotor Processing.

Palva S, Palva JM.

Trends Neurosci. 2018 Oct;41(10):729-743. doi: 10.1016/j.tins.2018.08.008. Epub 2018 Sep 25. Review.

PMID:
30274607
4.

Fluoxetine does not enhance the effect of perceptual learning on visual function in adults with amblyopia.

Huttunen HJ, Palva JM, Lindberg L, Palva S, Saarela V, Karvonen E, Latvala ML, Liinamaa J, Booms S, Castrén E, Uusitalo H.

Sci Rep. 2018 Aug 27;8(1):12830. doi: 10.1038/s41598-018-31169-z.

5.

Modular co-organization of functional connectivity and scale-free dynamics in the human brain.

Zhigalov A, Arnulfo G, Nobili L, Palva S, Palva JM.

Netw Neurosci. 2017 Jun 1;1(2):143-165. doi: 10.1162/NETN_a_00008. eCollection 2017 Spring.

6.

Hyperedge bundling: Data, source code, and precautions to modeling-accuracy bias to synchrony estimates.

Wang SH, Lobier M, Siebenhühner F, Puoliväli T, Palva S, Palva JM.

Data Brief. 2018 Mar 9;18:262-275. doi: 10.1016/j.dib.2018.03.017. eCollection 2018 Jun.

7.

Ghost interactions in MEG/EEG source space: A note of caution on inter-areal coupling measures.

Palva JM, Wang SH, Palva S, Zhigalov A, Monto S, Brookes MJ, Schoffelen JM, Jerbi K.

Neuroimage. 2018 Jun;173:632-643. doi: 10.1016/j.neuroimage.2018.02.032. Epub 2018 Feb 22.

8.

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. doi: 10.1016/j.neuroimage.2018.01.056. Epub 2018 Jan 31.

9.

Functional integration across oscillation frequencies by cross-frequency phase synchronization.

Palva JM, Palva S.

Eur J Neurosci. 2018 Oct;48(7):2399-2406. doi: 10.1111/ejn.13767. Epub 2017 Dec 2. Review.

PMID:
29094462
10.

Whole-Brain Source-Reconstructed MEG-Data Reveal Reduced Long-Range Synchronization in Chronic Schizophrenia.

Hirvonen J, Wibral M, Palva JM, Singer W, Uhlhaas P, Palva S.

eNeuro. 2017 Oct 17;4(5). pii: ENEURO.0338-17.2017. doi: 10.1523/ENEURO.0338-17.2017. eCollection 2017 Sep-Oct.

11.

High-alpha band synchronization across frontal, parietal and visual cortex mediates behavioral and neuronal effects of visuospatial attention.

Lobier M, Palva JM, Palva S.

Neuroimage. 2018 Jan 15;165:222-237. doi: 10.1016/j.neuroimage.2017.10.044. Epub 2017 Oct 23.

PMID:
29074278
12.

Critical dynamics of endogenous fluctuations predict cognitive flexibility in the Go/NoGo task.

Simola J, Zhigalov A, Morales-Muñoz I, Palva JM, Palva S.

Sci Rep. 2017 Jun 6;7(1):2909. doi: 10.1038/s41598-017-02750-9.

13.

Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance.

Siebenhühner F, Wang SH, Palva JM, Palva S.

Elife. 2016 Sep 26;5. pii: e13451. doi: 10.7554/eLife.13451.

14.

Neural correlates of maintaining generated images in visual working memory.

Ewerdwalbesloh JA, Palva S, Rösler F, Khader PH.

Hum Brain Mapp. 2016 Dec;37(12):4349-4362. doi: 10.1002/hbm.23313. Epub 2016 Jul 13.

PMID:
27411499
15.

The role of cortical beta oscillations in time estimation.

Kulashekhar S, Pekkola J, Palva JM, Palva S.

Hum Brain Mapp. 2016 Sep;37(9):3262-81. doi: 10.1002/hbm.23239. Epub 2016 May 11.

PMID:
27168123
16.

Cortical localization of phase and amplitude dynamics predicting access to somatosensory awareness.

Hirvonen J, Palva S.

Hum Brain Mapp. 2016 Jan;37(1):311-26. doi: 10.1002/hbm.23033. Epub 2015 Oct 20.

PMID:
26485310
17.

Experience Drives Synchronization: The phase and Amplitude Dynamics of Neural Oscillations to Musical Chords Are Differentially Modulated by Musical Expertise.

Pallesen KJ, Bailey CJ, Brattico E, Gjedde A, Palva JM, Palva S.

PLoS One. 2015 Aug 20;10(8):e0134211. doi: 10.1371/journal.pone.0134211. eCollection 2015.

18.

Relationship of fast- and slow-timescale neuronal dynamics in human MEG and SEEG.

Zhigalov A, Arnulfo G, Nobili L, Palva S, Palva JM.

J Neurosci. 2015 Apr 1;35(13):5385-96. doi: 10.1523/JNEUROSCI.4880-14.2015.

19.

Phase and amplitude correlations in resting-state activity in human stereotactical EEG recordings.

Arnulfo G, Hirvonen J, Nobili L, Palva S, Palva JM.

Neuroimage. 2015 May 15;112:114-127. doi: 10.1016/j.neuroimage.2015.02.031. Epub 2015 Feb 24.

PMID:
25721426
20.

Gamma Oscillations Underlie the Maintenance of Feature-Specific Information and the Contents of Visual Working Memory.

Honkanen R, Rouhinen S, Wang SH, Palva JM, Palva S.

Cereb Cortex. 2015 Oct;25(10):3788-801. doi: 10.1093/cercor/bhu263. Epub 2014 Nov 7.

PMID:
25405942
21.

Sparse weightings for collapsing inverse solutions to cortical parcellations optimize M/EEG source reconstruction accuracy.

Korhonen O, Palva S, Palva JM.

J Neurosci Methods. 2014 Apr 15;226:147-60. doi: 10.1016/j.jneumeth.2014.01.031. Epub 2014 Feb 6.

PMID:
24509129
22.

Infra-slow EEG fluctuations are correlated with resting-state network dynamics in fMRI.

Hiltunen T, Kantola J, Abou Elseoud A, Lepola P, Suominen K, Starck T, Nikkinen J, Remes J, Tervonen O, Palva S, Kiviniemi V, Palva JM.

J Neurosci. 2014 Jan 8;34(2):356-62. doi: 10.1523/JNEUROSCI.0276-13.2014.

23.

Load dependence of β and γ oscillations predicts individual capacity of visual attention.

Rouhinen S, Panula J, Palva JM, Palva S.

J Neurosci. 2013 Nov 27;33(48):19023-33. doi: 10.1523/JNEUROSCI.1666-13.2013.

24.

Phase transfer entropy: a novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions.

Lobier M, Siebenhühner F, Palva S, Palva JM.

Neuroimage. 2014 Jan 15;85 Pt 2:853-72. doi: 10.1016/j.neuroimage.2013.08.056. Epub 2013 Sep 2.

PMID:
24007803
25.

Stimulus detection rate and latency, firing rates and 1-40Hz oscillatory power are modulated by infra-slow fluctuations in a bistable attractor network model.

Lundqvist M, Herman P, Palva M, Palva S, Silverstein D, Lansner A.

Neuroimage. 2013 Dec;83:458-71. doi: 10.1016/j.neuroimage.2013.06.080. Epub 2013 Jul 10.

26.

Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws.

Palva JM, Zhigalov A, Hirvonen J, Korhonen O, Linkenkaer-Hansen K, Palva S.

Proc Natl Acad Sci U S A. 2013 Feb 26;110(9):3585-90. doi: 10.1073/pnas.1216855110. Epub 2013 Feb 11.

27.

Discovering oscillatory interaction networks with M/EEG: challenges and breakthroughs.

Palva S, Palva JM.

Trends Cogn Sci. 2012 Apr;16(4):219-30. doi: 10.1016/j.tics.2012.02.004. Epub 2012 Mar 20. Review.

PMID:
22440830
28.

Infra-slow fluctuations in electrophysiological recordings, blood-oxygenation-level-dependent signals, and psychophysical time series.

Palva JM, Palva S.

Neuroimage. 2012 Oct 1;62(4):2201-11. doi: 10.1016/j.neuroimage.2012.02.060. Epub 2012 Feb 28. Review.

PMID:
22401756
29.

Functional roles of alpha-band phase synchronization in local and large-scale cortical networks.

Palva S, Palva JM.

Front Psychol. 2011 Sep 5;2:204. doi: 10.3389/fpsyg.2011.00204. eCollection 2011.

30.

Roles of multiscale brain activity fluctuations in shaping the variability and dynamics of psychophysical performance.

Palva JM, Palva S.

Prog Brain Res. 2011;193:335-50. doi: 10.1016/B978-0-444-53839-0.00022-3. Review.

PMID:
21854973
31.

Localization of cortical phase and amplitude dynamics during visual working memory encoding and retention.

Palva S, Kulashekhar S, Hämäläinen M, Palva JM.

J Neurosci. 2011 Mar 30;31(13):5013-25. doi: 10.1523/JNEUROSCI.5592-10.2011.

32.

Neuronal synchrony reveals working memory networks and predicts individual memory capacity.

Palva JM, Monto S, Kulashekhar S, Palva S.

Proc Natl Acad Sci U S A. 2010 Apr 20;107(16):7580-5. doi: 10.1073/pnas.0913113107. Epub 2010 Apr 5.

33.

Graph properties of synchronized cortical networks during visual working memory maintenance.

Palva S, Monto S, Palva JM.

Neuroimage. 2010 Feb 15;49(4):3257-68. doi: 10.1016/j.neuroimage.2009.11.031. Epub 2009 Nov 22.

PMID:
19932756
34.

Very slow EEG fluctuations predict the dynamics of stimulus detection and oscillation amplitudes in humans.

Monto S, Palva S, Voipio J, Palva JM.

J Neurosci. 2008 Aug 13;28(33):8268-72. doi: 10.1523/JNEUROSCI.1910-08.2008.

35.

New vistas for alpha-frequency band oscillations.

Palva S, Palva JM.

Trends Neurosci. 2007 Apr;30(4):150-8. Epub 2007 Feb 20. Review.

PMID:
17307258
36.

Early neural correlates of conscious somatosensory perception.

Palva S, Linkenkaer-Hansen K, Näätänen R, Palva JM.

J Neurosci. 2005 May 25;25(21):5248-58.

37.

Phase synchrony among neuronal oscillations in the human cortex.

Palva JM, Palva S, Kaila K.

J Neurosci. 2005 Apr 13;25(15):3962-72.

38.

Prestimulus oscillations enhance psychophysical performance in humans.

Linkenkaer-Hansen K, Nikulin VV, Palva S, Ilmoniemi RJ, Palva JM.

J Neurosci. 2004 Nov 10;24(45):10186-90.

39.

Distinct gamma-band evoked responses to speech and non-speech sounds in humans.

Palva S, Palva JM, Shtyrov Y, Kujala T, Ilmoniemi RJ, Kaila K, Näätänen R.

J Neurosci. 2002 Feb 15;22(4):RC211.

40.

Discrimination of speech and of complex nonspeech sounds of different temporal structure in the left and right cerebral hemispheres.

Shtyrov Y, Kujala T, Palva S, Ilmoniemi RJ, Näätänen R.

Neuroimage. 2000 Dec;12(6):657-63.

PMID:
11112397

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