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Brain Structure and Function

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10.05.2019 | Original Article

Validity expectancies shape the interplay of cueing and task demands during inhibitory control associated with right inferior frontal regions

verfasst von: Nico Adelhöfer, Christian Beste

Erschienen in: Brain Structure and Function | Ausgabe 5/2019

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Abstract

The neural mechanisms of inhibitory control have extensively been studied, including the effects of demands to engage in inhibitory control and the effects of valid and invalid cueing. Theoretical considerations, however, suggest that the aforementioned factors exert joined effects on response inhibition processes that are further modulated by the subject’s experience about the reliability of cue stimuli during response inhibition processes. To examine the underlying neurophysiological processes of these interactive effects we combined EEG signal decomposition with sLORETA source localization. We show that response inhibition performance is modulated by interactive effects between (1) cue information/validity, (2) demands on inhibitory control processes and (3) the subject’s experience that cue information is valid/invalid during response inhibition processes. Only if demands on inhibitory control processes are high and when participants acquainted the experience that cue information is very likely to be valid, invalid cue information compromised response inhibition performance. The neurophysiological data show that processes in the N2 time window, likely reflecting braking processes, but not stimulus-related processes during response inhibition, are modulated. It seems that braking processes cannot be sufficiently deployed if cue information that has been experienced to be highly valid turns out to be invalid in situations placing high demands on inhibitory control. Source localization data reveals that the interactive effects of the examined factors specifically modulate processes in the right inferior frontal gyrus (BA47). This provides electrophysiological evidence that the rIFG is a hub region integrating different factors modulating inhibitory control.

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Albert J, López-Martín S, Hinojosa JA, Carretié L (2013) Spatiotemporal characterization of response inhibition. NeuroImage 76:272–281. https://doi.org/10.1016/j.neuroimage.2013.03.011 CrossRefPubMed

Allen C, Singh KD, Verbruggen F, Chambers CD (2018) Evidence for parallel activation of the pre-supplementary motor area and inferior frontal cortex during response inhibition: a combined MEG and TMS study. R Soc Open Sci 5:171369. https://doi.org/10.1098/rsos.171369 CrossRefPubMedPubMedCentral

Aron AR, Robbins TW, Poldrack RA (2014) Inhibition and the right inferior frontal cortex: one decade on. Trends Cogn Sci 18:177–185. https://doi.org/10.1016/j.tics.2013.12.003 CrossRefPubMed

Aron AR, Cai W, Badre D, Robbins TW (2015) Evidence supports specific braking function for inferior PFC. Trends Cogn Sci (Regul Ed) 19:711–712. https://doi.org/10.1016/j.tics.2015.09.001 CrossRef

Bari A, Robbins TW (2013) Inhibition and impulsivity: behavioral and neural basis of response control. Prog Neurobiol 108:44–79. https://doi.org/10.1016/j.pneurobio.2013.06.005 CrossRefPubMed

Beste C, Willemssen R, Saft C, Falkenstein M (2010) Response inhibition subprocesses and dopaminergic pathways: basal ganglia disease effects. Neuropsychologia 48:366–373. https://doi.org/10.1016/j.neuropsychologia.2009.09.023 CrossRefPubMed

Bianco V, Berchicci M, Perri RL et al (2017) The proactive self-control of actions: time-course of underlying brain activities. NeuroImage 156:388–393. https://doi.org/10.1016/j.neuroimage.2017.05.043 CrossRefPubMed

Bluschke A, Broschwitz F, Kohl S et al (2016) The neuronal mechanisms underlying improvement of impulsivity in ADHD by theta/beta neurofeedback. Sci Rep 6:31178. https://doi.org/10.1038/srep31178 CrossRefPubMedPubMedCentral

Bluschke A, Chmielewski WX, Mückschel M et al (2017) Neuronal intra-individual variability masks response selection differences between ADHD subtypes—a need to change perspectives. Front Hum Neurosci 11:329. https://doi.org/10.3389/fnhum.2017.00329 CrossRefPubMedPubMedCentral

Bodmer B, Mückschel M, Roessner V, Beste C (2018) Neurophysiological variability masks differences in functional neuroanatomical networks and their effectiveness to modulate response inhibition between children and adults. Brain Struct Funct 223:1797–1810. https://doi.org/10.1007/s00429-017-1589-6 CrossRefPubMed

Boehler CN, Münte TF, Krebs RM et al (2009) Sensory MEG responses predict successful and failed inhibition in a stop-signal task. Cereb Cortex 19:134–145. https://doi.org/10.1093/cercor/bhn063 CrossRefPubMed

Bokura H, Yamaguchi S, Kobayashi S (2001) Electrophysiological correlates for response inhibition in a Go/NoGo task. Clin Neurophysiol 112:2224–2232CrossRefPubMed

Braver TS (2012) The variable nature of cognitive control: a dual mechanisms framework. Trends Cogn Sci (Regul Ed) 16:106–113. https://doi.org/10.1016/j.tics.2011.12.010 CrossRef

Chambers CD, Bellgrove MA, Gould IC et al (2007) Dissociable mechanisms of cognitive control in prefrontal and premotor cortex. J Neurophysiol 98:3638–3647. https://doi.org/10.1152/jn.00685.2007 CrossRefPubMed

Chi Y, Yue Z, Liu Y et al (2014) Dissociable identity- and modality-specific neural representations as revealed by cross-modal nonspatial inhibition of return. Hum Brain Mapp 35:4002–4015. https://doi.org/10.1002/hbm.22454 CrossRefPubMedPubMedCentral

Chmielewski WX, Beste C (2016a) Perceptual conflict during sensorimotor integration processes—a neurophysiological study in response inhibition. Sci Rep 6:26289. https://doi.org/10.1038/srep26289 CrossRefPubMedPubMedCentral

Chmielewski WX, Beste C (2016b) Testing interactive effects of automatic and conflict control processes during response inhibition—a system neurophysiological study. NeuroImage. https://doi.org/10.1016/j.neuroimage.2016.10.015 CrossRefPubMed

Chmielewski WX, Mückschel M, Beste C (2018) Response selection codes in neurophysiological data predict conjoint effects of controlled and automatic processes during response inhibition. Hum Brain Mapp 39:1839–1849. https://doi.org/10.1002/hbm.23974 CrossRefPubMedPubMedCentral

d’Acremont M, Schultz W, Bossaerts P (2013) The human brain encodes event frequencies while forming subjective beliefs. J Neurosci 33:10887–10897. https://doi.org/10.1523/JNEUROSCI.5829-12.2013 CrossRefPubMedPubMedCentral

Di Russo F, Lucci G, Sulpizio V et al (2016) Spatiotemporal brain mapping during preparation, perception, and action. NeuroImage 126:1–14. https://doi.org/10.1016/j.neuroimage.2015.11.036 CrossRefPubMed

Dippel G, Beste C (2015) A causal role of the right inferior frontal cortex in the strategies of multi-component behaviour. Nat Commun. https://doi.org/10.1038/ncomms7587 CrossRefPubMed

Dippel G, Chmielewski W, Mückschel M, Beste C (2016) Response mode-dependent differences in neurofunctional networks during response inhibition: an EEG-beamforming study. Brain Struct Funct 221:4091–4101. https://doi.org/10.1007/s00429-015-1148-y CrossRefPubMed

Dippel G, Mückschel M, Ziemssen T, Beste C (2017) Demands on response inhibition processes determine modulations of theta band activity in superior frontal areas and correlations with pupillometry—implications for the norepinephrine system during inhibitory control. NeuroImage 157:575–585. https://doi.org/10.1016/j.neuroimage.2017.06.037 CrossRefPubMed

Dockree PM, Kelly SP, Roche RAP et al (2004) Behavioural and physiological impairments of sustained attention after traumatic brain injury. Brain Res Cogn Brain Res 20:403–414. https://doi.org/10.1016/j.cogbrainres.2004.03.019 CrossRefPubMed

Dockree PM, Bellgrove MA, O’Keeffe FM et al (2006) Sustained attention in traumatic brain injury (TBI) and healthy controls: enhanced sensitivity with dual-task load. Exp Brain Res 168:218–229. https://doi.org/10.1007/s00221-005-0079-x CrossRefPubMed

Dodds CM, Morein-Zamir S, Robbins TW (2011) Dissociating inhibition, attention, and response control in the frontoparietal network using functional magnetic resonance imaging. Cereb Cortex 21:1155–1165. https://doi.org/10.1093/cercor/bhq187 CrossRefPubMed

Falkenstein M, Hoormann J, Hohnsbein J (1999) ERP components in Go/Nogo tasks and their relation to inhibition. Acta Psychol (Amst) 101:267–291CrossRef

Folstein JR, Van Petten C (2008) Influence of cognitive control and mismatch on the N2 component of the ERP: a review. Psychophysiology 45:152–170. https://doi.org/10.1111/j.1469-8986.2007.00602.x CrossRefPubMed

Friedrich J, Mückschel M, Beste C (2018) Specific properties of the SI and SII somatosensory areas and their effects on motor control: a system neurophysiological study. Brain Struct Funct 223:687–699. https://doi.org/10.1007/s00429-017-1515-y CrossRefPubMed

Friston K, FitzGerald T, Rigoli F et al (2017) Active inference: a process theory. Neural Comput 29:1–49. https://doi.org/10.1162/NECO_a_00912 CrossRefPubMed

Gillies AJ, Willshaw DJ (1998) A massively connected subthalamic nucleus leads to the generation of widespread pulses. Proc R Soc Lond B Biol Sci 265:2101–2109. https://doi.org/10.1098/rspb.1998.0546 CrossRef

Hampshire A (2015) Putting the brakes on inhibitory models of frontal lobe function. NeuroImage 113:340–355. https://doi.org/10.1016/j.neuroimage.2015.03.053 CrossRefPubMed

Hampshire A, Sharp DJ (2015) Contrasting network and modular perspectives on inhibitory control. Trends Cogn Sci 19:445–452. https://doi.org/10.1016/j.tics.2015.06.006 CrossRefPubMed

Hampshire A, Chamberlain SR, Monti MM et al (2010) The role of the right inferior frontal gyrus: inhibition and attentional control. NeuroImage 50:1313–1319. https://doi.org/10.1016/j.neuroimage.2009.12.109 CrossRefPubMed

Helton WS (2009) Impulsive responding and the sustained attention to response task. J Clin Exp Neuropsychol 31:39–47. https://doi.org/10.1080/13803390801978856 CrossRefPubMed

Helton WS, Hollander TD, Warm JS et al (2005) Signal regularity and the mindlessness model of vigilance. Br J Psychol 96:249–261. https://doi.org/10.1348/000712605X38369 CrossRefPubMed

Herrmann CS, Knight RT (2001) Mechanisms of human attention: event-related potentials and oscillations. Neurosci Biobehav Rev 25:465–476CrossRefPubMed

Hong X, Wang Y, Sun J et al (2017) Segregating top-down selective attention from response inhibition in a spatial cueing Go/NoGo task: an ERP and source localization study. Sci Rep 7:9662. https://doi.org/10.1038/s41598-017-08807-z CrossRefPubMedPubMedCentral

Huster RJ, Enriquez-Geppert S, Lavallee CF et al (2013) Electroencephalography of response inhibition tasks: functional networks and cognitive contributions. Int J Psychophysiol 87:217–233. https://doi.org/10.1016/j.ijpsycho.2012.08.001 CrossRefPubMed

Huster RJ, Plis SM, Calhoun VD (2015) Group-level component analyses of EEG: validation and evaluation. Front Neurosci 9:254. https://doi.org/10.3389/fnins.2015.00254 CrossRefPubMedPubMedCentral

Kayser J, Tenke CE (2015) On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. Int J Psychophysiol 97:171–173. https://doi.org/10.1016/j.ijpsycho.2015.06.001 CrossRefPubMedPubMedCentral

Lenartowicz A, Verbruggen F, Logan GD, Poldrack RA (2011) Inhibition-related activation in the right inferior frontal gyrus in the absence of inhibitory cues. J Cogn Neurosci 23:3388–3399. https://doi.org/10.1162/jocn_a_00031 CrossRefPubMed

Liebrand M, Pein I, Tzvi E, Krämer UM (2017) Temporal dynamics of proactive and reactive motor inhibition. Front Hum Neurosci 11:204. https://doi.org/10.3389/fnhum.2017.00204 CrossRefPubMedPubMedCentral

Marco-Pallarés J, Grau C, Ruffini G (2005) Combined ICA-LORETA analysis of mismatch negativity. NeuroImage 25:471–477. https://doi.org/10.1016/j.neuroimage.2004.11.028 CrossRefPubMed

Masson MEJ (2011) A tutorial on a practical Bayesian alternative to null-hypothesis significance testing. Behav Res Methods 43:679–690. https://doi.org/10.3758/s13428-010-0049-5 CrossRefPubMed

McVay JC, Kane MJ (2009) Conducting the train of thought: working memory capacity, goal neglect, and mind wandering in an executive-control task. J Exp Psychol Learn Mem Cogn 35:196–204. https://doi.org/10.1037/a0014104 CrossRefPubMedPubMedCentral

Meyniel F, Dehaene S (2017) Brain networks for confidence weighting and hierarchical inference during probabilistic learning. Proc Natl Acad Sci USA 114:E3859–E3868. https://doi.org/10.1073/pnas.1615773114 CrossRefPubMedPubMedCentral

Mückschel M, Stock A-K, Beste C (2014) Psychophysiological mechanisms of interindividual differences in goal activation modes during action cascading. Cereb Cortex 24:2120–2129. https://doi.org/10.1093/cercor/bht066 CrossRefPubMed

Mückschel M, Chmielewski W, Ziemssen T, Beste C (2017a) The norepinephrine system shows information-content specific properties during cognitive control—evidence from EEG and pupillary responses. NeuroImage 149:44–52. https://doi.org/10.1016/j.neuroimage.2017.01.036 CrossRefPubMed

Mückschel M, Dippel G, Beste C (2017b) Distinguishing stimulus and response codes in theta oscillations in prefrontal areas during inhibitory control of automated responses. Hum Brain Mapp 38:5681–5690. https://doi.org/10.1002/hbm.23757 CrossRefPubMedPubMedCentral

Nichols TE, Holmes AP (2002) Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp 15:1–25. https://doi.org/10.1002/hbm.1058 CrossRefPubMed

Nieuwenhuis S, Yeung N, Cohen JD (2004) Stimulus modality, perceptual overlap, and the go/no-go N2. Psychophysiology 41:157–160. https://doi.org/10.1046/j.1469-8986.2003.00128.x CrossRefPubMed

Nunez PL, Pilgreen KL (1991) The spline-Laplacian in clinical neurophysiology: a method to improve EEG spatial resolution. J Clin Neurophysiol 8:397–413CrossRefPubMed

Nunez PL, Srinivasan R, Westdorp AF et al (1997) EEG coherency. I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales. Electroencephalogr Clin Neurophysiol 103:499–515CrossRefPubMed

Ostwald D, Spitzer B, Guggenmos M et al (2012) Evidence for neural encoding of Bayesian surprise in human somatosensation. NeuroImage 62:177–188. https://doi.org/10.1016/j.neuroimage.2012.04.050 CrossRefPubMed

Ouyang G, Herzmann G, Zhou C, Sommer W (2011) Residue iteration decomposition (RIDE): a new method to separate ERP components on the basis of latency variability in single trials. Psychophysiology 48:1631–1647. https://doi.org/10.1111/j.1469-8986.2011.01269.x CrossRefPubMed

Ouyang G, Schacht A, Zhou C, Sommer W (2013) Overcoming limitations of the ERP method with Residue Iteration Decomposition (RIDE): a demonstration in go/no-go experiments. Psychophysiology 50:253–265. https://doi.org/10.1111/psyp.12004 CrossRefPubMed

Ouyang G, Sommer W, Zhou C (2015a) A toolbox for residue iteration decomposition (RIDE)—a method for the decomposition, reconstruction, and single trial analysis of event related potentials. J Neurosci Methods 250:7–21. https://doi.org/10.1016/j.jneumeth.2014.10.009 CrossRefPubMed

Ouyang G, Sommer W, Zhou C (2015b) Updating and validating a new framework for restoring and analyzing latency-variable ERP components from single trials with residue iteration decomposition (RIDE). Psychophysiology 52:839–856. https://doi.org/10.1111/psyp.12411 CrossRefPubMed

Ouyang G, Hildebrandt A, Sommer W, Zhou C (2017) Exploiting the intra-subject latency variability from single-trial event-related potentials in the P3 time range: a review and comparative evaluation of methods. Neurosci Biobehav Rev 75:1–21. https://doi.org/10.1016/j.neubiorev.2017.01.023 CrossRefPubMed

Pascual-Marqui RD (2002) Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods Find Exp Clin Pharmacol 24(Suppl D):5–12PubMed

Quetscher C, Yildiz A, Dharmadhikari S et al (2015) Striatal GABA-MRS predicts response inhibition performance and its cortical electrophysiological correlates. Brain Struct Funct 220:3555–3564. https://doi.org/10.1007/s00429-014-0873-y CrossRefPubMed

Raftery AE (1995) Bayesian model selection in social research. In: Mardsen PV (ed) Sociological methodology. Blackwell, Cambridge, pp 11–196

Randall WM, Smith JL (2011) Conflict and inhibition in the cued-Go/NoGo task. Clin Neurophysiol 122:2400–2407. https://doi.org/10.1016/j.clinph.2011.05.012 CrossRefPubMed

Sekihara K, Sahani M, Nagarajan SS (2005) Localization bias and spatial resolution of adaptive and non-adaptive spatial filters for MEG source reconstruction. NeuroImage 25:1056–1067. https://doi.org/10.1016/j.neuroimage.2004.11.051 CrossRefPubMed

Sharp DJ, Bonnelle V, De Boissezon X et al (2010) Distinct frontal systems for response inhibition, attentional capture, and error processing. Proc Natl Acad Sci USA 107:6106–6111. https://doi.org/10.1073/pnas.1000175107 CrossRefPubMedPubMedCentral

Simmonds DJ, Pekar JJ, Mostofsky SH (2008) Meta-analysis of Go/No-go tasks demonstrating that fMRI activation associated with response inhibition is task-dependent. Neuropsychologia 46:224–232. https://doi.org/10.1016/j.neuropsychologia.2007.07.015 CrossRefPubMed

Smith JL, Johnstone SJ, Barry RJ (2007) Response priming in the Go/NoGo task: the N2 reflects neither inhibition nor conflict. Clin Neurophysiol 118:343–355. https://doi.org/10.1016/j.clinph.2006.09.027 CrossRefPubMed

Smith JL, Johnstone SJ, Barry RJ (2008) Movement-related potentials in the Go/NoGo task: the P3 reflects both cognitive and motor inhibition. Clin Neurophysiol 119:704–714. https://doi.org/10.1016/j.clinph.2007.11.042 CrossRefPubMed

Snowden RJ, Willey J, Muir JL (2001) Visuospatial attention: the role of target contrast and task difficulty when assessing the effects of cues. Perception 30:983–991. https://doi.org/10.1068/p3068 CrossRefPubMed

Stevenson H, Russell PN, Helton WS (2011) Search asymmetry, sustained attention, and response inhibition. Brain Cogn 77:215–222. https://doi.org/10.1016/j.bandc.2011.08.007 CrossRefPubMed

Stock A-K, Popescu F, Neuhaus AH, Beste C (2016) Single-subject prediction of response inhibition behavior by event-related potentials. J Neurophysiol 115:1252–1262. https://doi.org/10.1152/jn.00969.2015 CrossRefPubMed

Stock A-K, Gohil K, Beste C (2017a) Blocking effects in non-conditioned goal-directed behaviour. Brain Struct Funct 222:2807–2818. https://doi.org/10.1007/s00429-017-1373-7 CrossRefPubMed

Stock A-K, Gohil K, Huster RJ, Beste C (2017b) On the effects of multimodal information integration in multitasking. Sci Rep 7:4927. https://doi.org/10.1038/s41598-017-04828-w CrossRefPubMedPubMedCentral

Verleger R, Metzner MF, Ouyang G et al (2014) Testing the stimulus-to-response bridging function of the oddball-P3 by delayed response signals and residue iteration decomposition (RIDE). NeuroImage 100:271–280. https://doi.org/10.1016/j.neuroimage.2014.06.036 CrossRefPubMed

Verleger R, Siller B, Ouyang G, Śmigasiewicz K (2017) Effects on P3 of spreading targets and response prompts apart. Biol Psychol 126:1–11. https://doi.org/10.1016/j.biopsycho.2017.03.011 CrossRefPubMed

Vossel S, Thiel CM, Fink GR (2006) Cue validity modulates the neural correlates of covert endogenous orienting of attention in parietal and frontal cortex. NeuroImage 32:1257–1264. https://doi.org/10.1016/j.neuroimage.2006.05.019 CrossRefPubMed

Vuillier L, Bryce D, Szücs D, Whitebread D (2016) The maturation of interference suppression and response inhibition: ERP analysis of a cued Go/Nogo task. PLoS ONE 11:e0165697. https://doi.org/10.1371/journal.pone.0165697 CrossRefPubMedPubMedCentral

Wessel JR (2018) Prepotent motor activity and inhibitory control demands in different variants of the go/no-go paradigm. Psychophysiology 55:e12871. https://doi.org/10.1111/psyp.12871 CrossRef

Yu AJ, Dayan P (2005) Uncertainty, neuromodulation, and attention. Neuron 46:681–692. https://doi.org/10.1016/j.neuron.2005.04.026 CrossRefPubMed

Titel: Validity expectancies shape the interplay of cueing and task demands during inhibitory control associated with right inferior frontal regions
verfasst von: Nico Adelhöfer
Christian Beste
Publikationsdatum: 10.05.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Brain Structure and Function / Ausgabe 5/2019
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-019-01884-y

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