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Items: 1 to 50 of 98

1.

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 Jul 7;181:170-181. doi: 10.1016/j.neuroimage.2018.07.014. [Epub ahead of print]

PMID:
29990582
2.

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
3.

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
4.

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. 2017 Oct 26. pii: S0166-4328(17)30185-7. doi: 10.1016/j.bbr.2017.10.030. [Epub ahead of print]

PMID:
29107022
5.

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

Cohen MX.

Eur J Neurosci. 2017 Sep 27. doi: 10.1111/ejn.13727. [Epub ahead of print]

PMID:
28960497
6.

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.

7.

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
8.

Multivariate cross-frequency coupling via generalized eigendecomposition.

Cohen MX.

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

9.

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
10.

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
11.

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
12.

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
13.

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
14.

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.

15.

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.

16.

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
17.

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
18.

(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.

19.

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
20.

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
21.

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
22.

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
23.

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.

24.

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
25.

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
26.

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
27.

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.

28.

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
29.

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
30.

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.

31.

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
32.

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
33.

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
34.

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.

35.

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.

36.

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.

37.

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.

38.

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.

39.

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.

40.

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.

41.

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.

42.

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
43.

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.

44.

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
45.

Hippocampal-prefrontal connectivity predicts midfrontal oscillations and long-term memory performance.

Cohen MX.

Curr Biol. 2011 Nov 22;21(22):1900-5. doi: 10.1016/j.cub.2011.09.036. Epub 2011 Nov 3.

46.

Brain connectivity and high functioning autism: a promising path of research that needs refined models, methodological convergence, and stronger behavioral links.

Vissers ME, Cohen MX, Geurts HM.

Neurosci Biobehav Rev. 2012 Jan;36(1):604-25. doi: 10.1016/j.neubiorev.2011.09.003. Epub 2011 Sep 24. Review.

PMID:
21963441
47.

Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold.

Cavanagh JF, Wiecki TV, Cohen MX, Figueroa CM, Samanta J, Sherman SJ, Frank MJ.

Nat Neurosci. 2011 Sep 25;14(11):1462-7. doi: 10.1038/nn.2925.

48.

Theta dynamics reveal domain-specific control over stimulus and response conflict.

Nigbur R, Cohen MX, Ridderinkhof KR, Stürmer B.

J Cogn Neurosci. 2012 May;24(5):1264-74. doi: 10.1162/jocn_a_00128. Epub 2011 Aug 23.

PMID:
21861681
49.
50.

Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning.

van den Bos W, Cohen MX, Kahnt T, Crone EA.

Cereb Cortex. 2012 Jun;22(6):1247-55. doi: 10.1093/cercor/bhr198. Epub 2011 Aug 4.

PMID:
21817091

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