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Items: 1 to 50 of 104

1.

Midfrontal theta phase coordinates behaviorally relevant brain computations during cognitive control.

Duprez J, Gulbinaite R, Cohen MX.

Neuroimage. 2019 Nov 7:116340. doi: 10.1016/j.neuroimage.2019.116340. [Epub ahead of print]

PMID:
31707192
2.

The asynchronous state's relation to large scale potentials in cortex.

Alishbayli A, Tichelaar JG, Gorska U, Cohen MX, Englitz B.

J Neurophysiol. 2019 Oct 23. doi: 10.1152/jn.00013.2019. [Epub ahead of print]

PMID:
31642401
3.

A better way to define and describe Morlet wavelets for time-frequency analysis.

Cohen MX.

Neuroimage. 2019 Oct 1;199:81-86. doi: 10.1016/j.neuroimage.2019.05.048. Epub 2019 May 27.

PMID:
31145982
4.

Sustaining attention for a prolonged period of time increases temporal variability in cortical responses.

Reteig LC, van den Brink RL, Prinssen S, Cohen MX, Slagter HA.

Cortex. 2019 Aug;117:16-32. doi: 10.1016/j.cortex.2019.02.016. Epub 2019 Mar 1.

PMID:
30925309
5.

Preparing to Stop Action Increases Beta Band Power in Contralateral Sensorimotor Cortex.

Muralidharan V, Yu X, Cohen MX, Aron AR.

J Cogn Neurosci. 2019 May;31(5):657-668. doi: 10.1162/jocn_a_01373. Epub 2019 Jan 11.

PMID:
30633601
6.

How the Level of Reward Awareness Changes the Computational and Electrophysiological Signatures of Reinforcement Learning.

Correa CMC, Noorman S, Jiang J, Palminteri S, Cohen MX, Lebreton M, van Gaal S.

J Neurosci. 2018 Nov 28;38(48):10338-10348. doi: 10.1523/JNEUROSCI.0457-18.2018. Epub 2018 Oct 16.

7.

Interactions between frontal and posterior oscillatory dynamics support adjustment of stimulus processing during reinforcement learning.

van de Vijver I, van Driel J, Hillebrand A, Cohen MX.

Neuroimage. 2018 Nov 1;181:170-181. doi: 10.1016/j.neuroimage.2018.07.014. Epub 2018 Jul 7.

8.

Oscillatory Mechanisms of Response Conflict Elicited by Color and Motion Direction: An Individual Differences Approach.

Vissers ME, Ridderinkhof KR, Cohen MX, Slagter HA.

J Cogn Neurosci. 2018 Apr;30(4):468-481. doi: 10.1162/jocn_a_01222. Epub 2017 Dec 15.

PMID:
29244639
9.

Evaluating the feasibility of the steady-state visual evoked potential (SSVEP) to study temporal attention.

Mora-Cortes A, Ridderinkhof KR, Cohen MX.

Psychophysiology. 2018 May;55(5):e13029. doi: 10.1111/psyp.13029. Epub 2017 Nov 9.

PMID:
29119621
10.

Error blindness and motivational significance: Shifts in networks centering on anterior insula co-vary with error awareness and pupil dilation.

Harsay HA, Cohen MX, Spaan M, Weeda WD, Nieuwenhuis S, Ridderinkhof KR.

Behav Brain Res. 2018 Dec 14;355:24-35. doi: 10.1016/j.bbr.2017.10.030. Epub 2017 Oct 26.

PMID:
29107022
11.

Using spatiotemporal source separation to identify prominent features in multichannel data without sinusoidal filters.

Cohen MX.

Eur J Neurosci. 2018 Oct;48(7):2454-2465. doi: 10.1111/ejn.13727. Epub 2017 Oct 19.

PMID:
28960497
12.

Individual Alpha Peak Frequency Predicts 10 Hz Flicker Effects on Selective Attention.

Gulbinaite R, van Viegen T, Wieling M, Cohen MX, VanRullen R.

J Neurosci. 2017 Oct 18;37(42):10173-10184. doi: 10.1523/JNEUROSCI.1163-17.2017. Epub 2017 Sep 20.

13.

Where Does EEG Come From and What Does It Mean?

Cohen MX.

Trends Neurosci. 2017 Apr;40(4):208-218. doi: 10.1016/j.tins.2017.02.004. Epub 2017 Mar 15. Review.

PMID:
28314445
14.

Multivariate cross-frequency coupling via generalized eigendecomposition.

Cohen MX.

Elife. 2017 Jan 24;6. pii: e21792. doi: 10.7554/eLife.21792.

15.

Comparison of linear spatial filters for identifying oscillatory activity in multichannel data.

Cohen MX.

J Neurosci Methods. 2017 Feb 15;278:1-12. doi: 10.1016/j.jneumeth.2016.12.016. Epub 2016 Dec 27. Review.

PMID:
28034726
16.

Rhythmic entrainment source separation: Optimizing analyses of neural responses to rhythmic sensory stimulation.

Cohen MX, Gulbinaite R.

Neuroimage. 2017 Feb 15;147:43-56. doi: 10.1016/j.neuroimage.2016.11.036. Epub 2016 Dec 1.

PMID:
27916666
17.

Midfrontal theta tracks action monitoring over multiple interactive time scales.

Cohen MX.

Neuroimage. 2016 Nov 1;141:262-272. doi: 10.1016/j.neuroimage.2016.07.054. Epub 2016 Jul 27.

PMID:
27475291
18.

Frontostriatal anatomical connections predict age- and difficulty-related differences in reinforcement learning.

van de Vijver I, Ridderinkhof KR, Harsay H, Reneman L, Cavanagh JF, Buitenweg JI, Cohen MX.

Neurobiol Aging. 2016 Oct;46:1-12. doi: 10.1016/j.neurobiolaging.2016.06.002. Epub 2016 Jun 17.

PMID:
27460144
19.

Rigor and replication in time-frequency analyses of cognitive electrophysiology data.

Cohen MX.

Int J Psychophysiol. 2017 Jan;111:80-87. doi: 10.1016/j.ijpsycho.2016.02.001. Epub 2016 Feb 11.

PMID:
26876335
20.

Human Frontal-Subcortical Circuit and Asymmetric Belief Updating.

Moutsiana C, Charpentier CJ, Garrett N, Cohen MX, Sharot T.

J Neurosci. 2015 Oct 21;35(42):14077-85. doi: 10.1523/JNEUROSCI.1120-15.2015.

21.

Frequency Band-Specific Electrical Brain Stimulation Modulates Cognitive Control Processes.

van Driel J, Sligte IG, Linders J, Elport D, Cohen MX.

PLoS One. 2015 Sep 25;10(9):e0138984. doi: 10.1371/journal.pone.0138984. eCollection 2015.

22.

Neural Correlates of Visual Short-term Memory Dissociate between Fragile and Working Memory Representations.

Vandenbroucke AR, Sligte IG, de Vries JG, Cohen MX, Lamme VA.

J Cogn Neurosci. 2015 Dec;27(12):2477-90. doi: 10.1162/jocn_a_00870. Epub 2015 Sep 9.

PMID:
26351862
23.

Phase-clustering bias in phase-amplitude cross-frequency coupling and its removal.

van Driel J, Cox R, Cohen MX.

J Neurosci Methods. 2015 Oct 30;254:60-72. doi: 10.1016/j.jneumeth.2015.07.014. Epub 2015 Jul 29.

PMID:
26231622
24.

(No) time for control: Frontal theta dynamics reveal the cost of temporally guided conflict anticipation.

van Driel J, Swart JC, Egner T, Ridderinkhof KR, Cohen MX.

Cogn Affect Behav Neurosci. 2015 Dec;15(4):787-807. doi: 10.3758/s13415-015-0367-2.

25.

A statistical comparison of EEG time- and time-frequency domain representations of error processing.

Munneke GJ, Nap TS, Schippers EE, Cohen MX.

Brain Res. 2015 Aug 27;1618:222-30. doi: 10.1016/j.brainres.2015.05.030. Epub 2015 May 30.

PMID:
26032741
26.

Grapheme-color synesthesia subtypes: Stable individual differences reflected in posterior alpha-band oscillations.

Cohen MX, Weidacker K, Tankink J, Scholte HS, Rouw R.

Cogn Neurosci. 2015;6(2-3):56-67. doi: 10.1080/17588928.2015.1017450. Epub 2015 Apr 1.

PMID:
25833734
27.

Attention and temporal expectations modulate power, not phase, of ongoing alpha oscillations.

van Diepen RM, Cohen MX, Denys D, Mazaheri A.

J Cogn Neurosci. 2015 Aug;27(8):1573-86. doi: 10.1162/jocn_a_00803. Epub 2015 Mar 16.

PMID:
25774428
28.

Comparison of different spatial transformations applied to EEG data: A case study of error processing.

Cohen MX.

Int J Psychophysiol. 2015 Sep;97(3):245-57. doi: 10.1016/j.ijpsycho.2014.09.013. Epub 2014 Oct 20.

PMID:
25455427
29.

Fronto-parietal network oscillations reveal relationship between working memory capacity and cognitive control.

Gulbinaite R, van Rijn H, Cohen MX.

Front Hum Neurosci. 2014 Sep 30;8:761. doi: 10.3389/fnhum.2014.00761. eCollection 2014.

30.

Effects of time lag and frequency matching on phase-based connectivity.

Cohen MX.

J Neurosci Methods. 2015 Jul 30;250:137-46. doi: 10.1016/j.jneumeth.2014.09.005. Epub 2014 Sep 16.

PMID:
25234308
31.

Interregional alpha-band synchrony supports temporal cross-modal integration.

van Driel J, Knapen T, van Es DM, Cohen MX.

Neuroimage. 2014 Nov 1;101:404-15. doi: 10.1016/j.neuroimage.2014.07.022. Epub 2014 Jul 17.

PMID:
25042447
32.

A neural microcircuit for cognitive conflict detection and signaling.

Cohen MX.

Trends Neurosci. 2014 Sep;37(9):480-90. doi: 10.1016/j.tins.2014.06.004. Epub 2014 Jul 14. Review.

PMID:
25034536
33.

Fluctuations in oscillation frequency control spike timing and coordinate neural networks.

Cohen MX.

J Neurosci. 2014 Jul 2;34(27):8988-98. doi: 10.1523/JNEUROSCI.0261-14.2014.

34.

Subthreshold muscle twitches dissociate oscillatory neural signatures of conflicts from errors.

Cohen MX, van Gaal S.

Neuroimage. 2014 Feb 1;86:503-13. doi: 10.1016/j.neuroimage.2013.10.033. Epub 2013 Nov 1.

PMID:
24185026
35.

Aging affects medial but not anterior frontal learning-related theta oscillations.

van de Vijver I, Cohen MX, Ridderinkhof KR.

Neurobiol Aging. 2014 Mar;35(3):692-704. doi: 10.1016/j.neurobiolaging.2013.09.006. Epub 2013 Oct 9.

PMID:
24119544
36.

Midfrontal conflict-related theta-band power reflects neural oscillations that predict behavior.

Cohen MX, Donner TH.

J Neurophysiol. 2013 Dec;110(12):2752-63. doi: 10.1152/jn.00479.2013. Epub 2013 Sep 25.

37.

Five methodological challenges in cognitive electrophysiology.

Cohen MX, Gulbinaite R.

Neuroimage. 2014 Jan 15;85 Pt 2:702-10. doi: 10.1016/j.neuroimage.2013.08.010. Epub 2013 Aug 15. Review.

PMID:
23954489
38.

Reply to "Higher response time increases theta energy, conflict increases response time".

Cohen MX, Nigbur R.

Clin Neurophysiol. 2013 Jul;124(7):1479-81. doi: 10.1016/j.clinph.2013.03.013. Epub 2013 May 1. No abstract available.

PMID:
23643314
39.

Subcortical, modality-specific pathways contribute to multisensory processing in humans.

van den Brink RL, Cohen MX, van der Burg E, Talsma D, Vissers ME, Slagter HA.

Cereb Cortex. 2014 Aug;24(8):2169-77. doi: 10.1093/cercor/bht069. Epub 2013 Mar 25.

PMID:
23529004
40.

EEG source reconstruction reveals frontal-parietal dynamics of spatial conflict processing.

Cohen MX, Ridderinkhof KR.

PLoS One. 2013;8(2):e57293. doi: 10.1371/journal.pone.0057293. Epub 2013 Feb 25.

41.

Switch-related and general preparation processes in task-switching: evidence from multivariate pattern classification of EEG data.

Mansfield EL, Karayanidis F, Cohen MX.

J Neurosci. 2012 Dec 12;32(50):18253-8. doi: 10.1523/JNEUROSCI.0737-12.2012.

42.

Not all errors are alike: theta and alpha EEG dynamics relate to differences in error-processing dynamics.

van Driel J, Ridderinkhof KR, Cohen MX.

J Neurosci. 2012 Nov 21;32(47):16795-806. doi: 10.1523/JNEUROSCI.0802-12.2012.

43.

Corticostriatal connectivity underlies individual differences in the balance between habitual and goal-directed action control.

de Wit S, Watson P, Harsay HA, Cohen MX, van de Vijver I, Ridderinkhof KR.

J Neurosci. 2012 Aug 29;32(35):12066-75. doi: 10.1523/JNEUROSCI.1088-12.2012.

44.

Individual differences in risky decision-making among seniors reflect increased reward sensitivity.

Cavanagh JF, Neville D, Cohen MX, Van de Vijver I, Harsay H, Watson P, Buitenweg JI, Ridderinkhof KR.

Front Neurosci. 2012 Jul 17;6:111. doi: 10.3389/fnins.2012.00111. eCollection 2012.

45.

The role of consciousness in cognitive control and decision making.

van Gaal S, de Lange FP, Cohen MX.

Front Hum Neurosci. 2012 May 7;6:121. doi: 10.3389/fnhum.2012.00121. eCollection 2012.

46.

Dynamic interactions between large-scale brain networks predict behavioral adaptation after perceptual errors.

Cohen MX, van Gaal S.

Cereb Cortex. 2013 May;23(5):1061-72. doi: 10.1093/cercor/bhs069. Epub 2012 Apr 18.

47.

How the aging brain translates motivational incentive into action: the role of individual differences in striato-cortical white matter pathways.

Harsay HA, Cohen MX, Reneman L, Ridderinkhof KR.

Dev Cogn Neurosci. 2011 Oct;1(4):530-9. doi: 10.1016/j.dcn.2011.06.005. Epub 2011 Jun 24.

48.

Effective deep brain stimulation in heroin addiction: a case report with complementary intracranial electroencephalogram.

Valencia-Alfonso CE, Luigjes J, Smolders R, Cohen MX, Levar N, Mazaheri A, van den Munckhof P, Schuurman PR, van den Brink W, Denys D.

Biol Psychiatry. 2012 Apr 15;71(8):e35-7. doi: 10.1016/j.biopsych.2011.12.013. Epub 2012 Jan 26. No abstract available.

PMID:
22281120
49.

Frontal theta reflects uncertainty and unexpectedness during exploration and exploitation.

Cavanagh JF, Figueroa CM, Cohen MX, Frank MJ.

Cereb Cortex. 2012 Nov;22(11):2575-86. doi: 10.1093/cercor/bhr332. Epub 2011 Nov 25.

50.

Cortical electrophysiological network dynamics of feedback learning.

Cohen MX, Wilmes K, Vijver Iv.

Trends Cogn Sci. 2011 Dec;15(12):558-66. doi: 10.1016/j.tics.2011.10.004. Epub 2011 Nov 9.

PMID:
22078930

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