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Brain Structure and Function

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04.01.2021 | Original Article

Task-specific modulation of PFC activity for matching-rule governed decision-making

verfasst von: Mohsen Parto Dezfouli, Mohammad Zarei, Christos Constantinidis, Mohammad Reza Daliri

Erschienen in: Brain Structure and Function | Ausgabe 2/2021

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Abstract

Storing information from incoming stimuli in working memory (WM) is essential for decision-making. The prefrontal cortex (PFC) plays a key role to support this process. Previous studies have characterized different neuronal populations in the PFC for working memory judgements based on whether an originally presented stimulus matches a subsequently presented one (matching-rule decision-making). However, much remains to be understood about this mechanism at the population level of PFC neurons. Here, we hypothesized differences in processing of feature vs. spatial WM within the PFC during a matching-rule decision-making task. To test this hypothesis, the modulation of neural activity within the PFC during two types of decision-making tasks (spatial WM and feature WM) in comparison to a passive fixation task was determined. We discovered that neural population-level activity within the PFC is different for the match vs. non-match condition exclusively in the case of the feature-specific decision-making task. For this task, the non-match condition exhibited a greater firing rate and lower trial-to-trial variability in spike count compared to the feature-match condition. Furthermore, the feature-match condition exhibited lower variability compared to the spatial-match condition. This was accompanied by a faster behavioral response time for the feature-match compared to the spatial-match WM task. We attribute this lower across-trial spiking variability and behavioral response time to a higher task-relevant attentional level in the feature WM compared to the spatial WM task. The findings support our hypothesis for task-specific differences in the processing of feature vs. spatial WM within the PFC. This also confirms the general conclusion that PFC neurons play an important role during the process of matching-rule governed decision-making.

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Arazi A, Yeshurun Y, Dinstein I (2019) Neural variability is quenched by attention. J Neurosci. https://doi.org/10.1523/JNEUROSCI.0355-19.2019CrossRefPubMedPubMedCentral

Asaad WF, Rainer G, Miller EK (2000) Task-specific neural activity in the primate prefrontal cortex. J Neurophysiol 84:451–459. https://doi.org/10.1152/jn.2000.84.1.451CrossRefPubMed

Backen T, Treue S, Martinez-Trujillo JC (2018) Encoding of spatial attention by primate prefrontal cortex neuronal ensembles. eNeuro. https://doi.org/10.1523/ENEURO.0372-16.2017CrossRefPubMedPubMedCentral

Balaban H, Luria R (2016) Object representations in visual working memory change according to the task context. Cortex 81:1–13. https://doi.org/10.1016/j.cortex.2016.04.004CrossRefPubMed

Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B 57:289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.xCrossRef

Berger M, Calapai A, Stephan V et al (2018) Standardized automated training of rhesus monkeys for neuroscience research in their housing environment. J Neurophysiol 119:796–807. https://doi.org/10.1152/jn.00614.2017CrossRefPubMed

Bichot NP, Heard MT, DeGennaro EM, Desimone R (2015) A source for feature-based attention in the prefrontal cortex. Neuron 88:832–844. https://doi.org/10.1016/J.NEURON.2015.10.001CrossRefPubMedPubMedCentral

Bisley JW, Goldberg ME (2003) Neuronal activity in the lateral intraparietal area and spatial attention. Science 299:81–86. https://doi.org/10.1126/science.1077395CrossRefPubMed

Calapai A, Berger M, Niessing M et al (2017) A cage-based training, cognitive testing and enrichment system optimized for rhesus macaques in neuroscience research. Behav Res Methods 49:35–45. https://doi.org/10.3758/s13428-016-0707-3CrossRefPubMed

Castellanos FX, Sonuga-Barke EJS, Scheres A et al (2005) Varieties of attention-deficit/hyperactivity disorder-related intra-individual variability. Biol Psychiatry 57:1416–1423. https://doi.org/10.1016/J.BIOPSYCH.2004.12.005CrossRefPubMedPubMedCentral

Chambers CD, Stokes MG, Mattingley JB (2004) Modality-specific control of strategic spatial attention in parietal cortex. Neuron 44:925–930. https://doi.org/10.1016/j.neuron.2004.12.009CrossRefPubMed

Chang MH, Armstrong KM, Moore T (2012) Dissociation of response variability from firing rate effects in frontal eye field neurons during visual stimulation, working memory, and attention. J Neurosci 32:2204–2216. https://doi.org/10.1523/JNEUROSCI.2967-11.2012CrossRefPubMedPubMedCentral

Churchland MM, Afshar A, Shenoy KV (2006) A central source of movement variability. Neuron 52:1085–1096. https://doi.org/10.1016/j.neuron.2006.10.034CrossRefPubMedPubMedCentral

Churchland MM, Yu BM, Cunningham JP et al (2010) Stimulus onset quenches neural variability: a widespread cortical phenomenon. Nat Neurosci 13:369–378. https://doi.org/10.1038/nn.2501CrossRefPubMedPubMedCentral

Churchland AK, Kiani R, Chaudhuri R et al (2011) Variance as a signature of neural computations during decision making. Neuron 69:818–831. https://doi.org/10.1016/j.neuron.2010.12.037CrossRefPubMedPubMedCentral

Clark KL, Noudoost B (2014) The role of prefrontal catecholamines in attention and working memory. Front Neural Circuits 8:33. https://doi.org/10.3389/fncir.2014.00033CrossRefPubMedPubMedCentral

Cohen MR, Maunsell JHR (2009) Attention improves performance primarily by reducing interneuronal correlations. Nat Neurosci 12:1594–1600. https://doi.org/10.1038/nn.2439CrossRefPubMedPubMedCentral

Cohen MR, Newsome WT (2008) Context-dependent changes in functional circuitry in visual area MT. Neuron 60:162–173. https://doi.org/10.1016/j.neuron.2008.08.007CrossRefPubMedPubMedCentral

Constantinidis C, Klingberg T (2016) The neuroscience of working memory capacity and training. Nat Rev Neurosci 17:438–449. https://doi.org/10.1038/nrn.2016.43CrossRefPubMed

Deco G, Hugues E (2012) Neural network mechanisms underlying stimulus driven variability reduction. PLoS Comput Biol 8:e1002395. https://doi.org/10.1371/journal.pcbi.1002395CrossRefPubMedPubMedCentral

Desimone R (1996) Neural mechanisms for visual memory and their role in attention. Proc Natl Acad Sci U S A 93:13494. https://doi.org/10.1073/PNAS.93.24.13494CrossRefPubMedPubMedCentral

Desimone R, Albright T, Gross C, Bruce C (2011) Stimulus-selective properties of inferior temporal neurons in the macaque. J Neurosci 4:2051–2062. https://doi.org/10.1523/jneurosci.6798-10.2011CrossRef

Downing PE (2000) Interactions between visual working memory and selective attention. Psychol Sci 11:467–473. https://doi.org/10.1111/1467-9280.00290CrossRefPubMed

Engel TA, Wang X-J (2011) Same or different? A neural circuit mechanism of similarity-based pattern match decision making. J Neurosci 31:6982–6996. https://doi.org/10.1523/JNEUROSCI.6150-10.2011CrossRefPubMedPubMedCentral

Falkner AL, Goldberg ME, Krishna BS (2013) Spatial representation and cognitive modulation of response variability in the lateral intraparietal area priority map. J Neurosci 33:16117–16130. https://doi.org/10.1523/JNEUROSCI.5269-12.2013CrossRefPubMedPubMedCentral

Fries P, Reynolds JH, Rorie AE, Desimone R (2001) Modulation of oscillatory neuronal synchronization by selective visual attention. Science 291:1560–1563. https://doi.org/10.1126/science.1055465CrossRefPubMed

Fries P, Womelsdorf T, Oostenveld R, Desimone R (2008) The effects of visual stimulation and selective visual attention on rhythmic neuronal synchronization in macaque area V4. J Neurosci 28:4823–4835. https://doi.org/10.1523/JNEUROSCI.4499-07.2008CrossRefPubMedPubMedCentral

Garrido MI, Kilner JM, Stephan KE, Friston KJ (2009) The mismatch negativity: a review of underlying mechanisms. Clin Neurophysiol 120:453–463CrossRef

Greenberg AS, Esterman M, Wilson D et al (2010) Control of spatial and feature-based attention in frontoparietal cortex. J Neurosci 30:14330–14339. https://doi.org/10.1523/JNEUROSCI.4248-09.2010CrossRefPubMedPubMedCentral

Gregoriou GG, Gotts SJ, Zhou H, Desimone R (2009) High-frequency, long-range coupling between prefrontal and visual cortex during attention. Science 324:1207–1210. https://doi.org/10.1126/science.1171402CrossRefPubMedPubMedCentral

Harris KD, Henze DA, Csicsvari J et al (2000) Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. J Neurophysiol 84:401–414. https://doi.org/10.1152/jn.2000.84.1.401CrossRefPubMed

Heuer A, Schubö A, Crawford JD (2016) Different cortical mechanisms for spatial vs. feature-based attentional selection in visual working memory. Front Hum Neurosci 10:415. https://doi.org/10.3389/fnhum.2016.00415CrossRefPubMedPubMedCentral

Johnson EL, Dewar CD, Solbakk A-KK et al (2017) Bidirectional frontoparietal oscillatory systems support working memory. Curr Biol 27:1829-1835.e4CrossRef

Johnson EL, Adams JN, Solbakk A-K et al (2018a) Dynamic frontotemporal systems process space and time in working memory. PLOS Biol 16:e2004274. https://doi.org/10.1371/journal.pbio.2004274CrossRefPubMedPubMedCentral

Johnson EL, Tang L, Yin Q et al (2018b) Direct brain recordings reveal prefrontal cortex dynamics of memory development. Sci Adv 4:3702. https://doi.org/10.1126/sciadv.aat3702CrossRef

Johnston K, Everling S (2006) Neural activity in monkey prefrontal cortex is modulated by task context and behavioral instruction during delayed-match-to-sample and conditional prosaccade-antisaccade tasks. J Cogn Neurosci 18:749–765. https://doi.org/10.1162/jocn.2006.18.5.749CrossRefPubMed

Katsuki F, Constantinidis C (2012) Early involvement of prefrontal cortex in visual bottom-up attention. Nat Neurosci 15:1160–1166. https://doi.org/10.1038/nn.3164CrossRefPubMedPubMedCentral

Katsuki F, Constantinidis C (2014) Bottom-Up and Top-Down Attention. Neurosci 20:509–521. https://doi.org/10.1177/1073858413514136CrossRef

Krause MR, Zanos TP, Csorba BA et al (2017) Transcranial direct current stimulation facilitates associative learning and alters functional connectivity in the primate brain. Curr Biol 27:3086-3096.e3. https://doi.org/10.1016/J.CUB.2017.09.020CrossRefPubMed

Lakatos P, Karmos G, Mehta AD et al (2008) Entrainment of neuronal oscillations as a mechanism of attentional selection. Science 320:110–113. https://doi.org/10.1126/science.1154735CrossRefPubMed

Leong YC, Radulescu A, Daniel R et al (2017) Dynamic interaction between reinforcement learning and attention in multidimensional environments. Neuron 93:451–463. https://doi.org/10.1016/J.NEURON.2016.12.040CrossRefPubMedPubMedCentral

Liu J, Newsome WT (2006) Local field potential in cortical area MT: stimulus tuning and behavioral correlations. J Neurosci 26:7779–7790. https://doi.org/10.1523/JNEUROSCI.5052-05.2006CrossRefPubMedPubMedCentral

Liu LD, Pack CC (2017) The contribution of area MT to visual motion perception depends on training. Neuron 95:436-446.e3. https://doi.org/10.1016/J.NEURON.2017.06.024CrossRefPubMed

Lowet E, Gomes B, Srinivasan K et al (2018) Enhanced neural processing by covert attention only during microsaccades directed toward the attended stimulus. Neuron 99:207-214.e3. https://doi.org/10.1016/J.NEURON.2018.05.041CrossRefPubMed

Machens CK, Romo R, Brody CD (2005) Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 307:1121–1124. https://doi.org/10.1126/science.1104171CrossRefPubMed

Martinez-Trujillo JC, Treue S (2004) Feature-based attention increases the selectivity of population responses in primate visual cortex. Curr Biol 14:744–751. https://doi.org/10.1016/J.CUB.2004.04.028CrossRefPubMed

Maunsell JHR, Treue S (2006) Feature-based attention in visual cortex. Trends Neurosci 29:317–322. https://doi.org/10.1016/J.TINS.2006.04.001CrossRefPubMed

Merrikhi Y, Clark K, Albarran E et al (2017) Spatial working memory alters the efficacy of input to visual cortex. Nat Commun 8:15041. https://doi.org/10.1038/ncomms15041CrossRefPubMedPubMedCentral

Meyer T, Qi X-L, Stanford TR, Constantinidis C (2011) Stimulus selectivity in dorsal and ventral prefrontal cortex after training in working memory tasks. J Neurosci 31:6266–6276. https://doi.org/10.1523/JNEUROSCI.6798-10.2011CrossRefPubMedPubMedCentral

Meyers EM, Liang A, Katsuki F, Constantinidis C (2018) Differential processing of isolated object and multi-item pop-out displays in LIP and PFC. Cereb Cortex 28:3816–3828. https://doi.org/10.1093/cercor/bhx243CrossRefPubMed

Mitchell JF, Sundberg KA, Reynolds JH (2007) Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron 55:131–141. https://doi.org/10.1016/J.NEURON.2007.06.018CrossRefPubMed

Moore T, Zirnsak M (2017) Neural mechanisms of selective visual attention. Annu Rev Psychol 68:47–72. https://doi.org/10.1146/annurev-psych-122414-033400CrossRefPubMed

Muhammad R, Wallis JD, Miller EK (2006) A comparison of abstract rules in the prefrontal cortex, premotor cortex, inferior temporal cortex, and striatum. J Cogn Neurosci 18:974–989. https://doi.org/10.1162/jocn.2006.18.6.974CrossRefPubMed

Näätänen R, Paavilainen P, Rinne T, Alho K (2007) The mismatch negativity (MMN) in basic research of central auditory processing: a review. Clin Neurophysiol 118:2544–2590CrossRef

Ni AM, Ruff DA, Alberts JJ et al (2018) Learning and attention reveal a general relationship between population activity and behavior. Science 359:463–465. https://doi.org/10.1126/science.aao0284CrossRefPubMedPubMedCentral

Noudoost B, Moore T (2011) Control of visual cortical signals by prefrontal dopamine. Nature 474:372–375. https://doi.org/10.1038/nature09995CrossRefPubMedPubMedCentral

Parto Dezfouli M, Daliri MR (2015) The effect of adaptation on the tuning curves of rat auditory cortex. PLoS ONE 10:e0115621. https://doi.org/10.1371/journal.pone.0115621CrossRefPubMedPubMedCentral

Parto Dezfouli M, Zarei M, Jahed M, Daliri MR (2019) Stimulus-specific adaptation decreases the coupling of spikes to LFP phase. Front Neural Circuits 13:44. https://doi.org/10.3389/fncir.2019.00044CrossRefPubMedPubMedCentral

Peelen MV, Mruczek REB (2008) Sources of spatial and feature-based attention in the human brain. J Neurosci 28:9328–9329. https://doi.org/10.1523/JNEUROSCI.3562-08.2008CrossRefPubMedPubMedCentral

Ponce-Alvarez A, Thiele A, Albright TD et al (2013) Stimulus-dependent variability and noise correlations in cortical MT neurons. Proc Natl Acad Sci U S A 110:13162–13167. https://doi.org/10.1073/pnas.1300098110CrossRefPubMedPubMedCentral

Qi X-L, Constantinidis C (2012) Variability of prefrontal neuronal discharges before and after training in a working memory task. PLoS ONE 7:e41053. https://doi.org/10.1371/journal.pone.0041053CrossRefPubMedPubMedCentral

Qi X-L, Meyer T, Stanford TR, Constantinidis C (2011) Changes in prefrontal neuronal activity after learning to perform a spatial working memory task. Cereb Cortex 21:2722–2732. https://doi.org/10.1093/cercor/bhr058CrossRefPubMedPubMedCentral

Qi X-L, Meyer T, Stanford TR, Constantinidis C (2012) Neural correlates of a decision variable before learning to perform a match/non-match task. J Neurosci 32:6161–6169. https://doi.org/10.1523/JNEUROSCI.6365-11.2012CrossRefPubMedPubMedCentral

Ratcliff R, Philiastides MG, Sajda P (2009) Quality of evidence for perceptual decision-making is indexed by trial-to-trial variability of the EEG. Proc Natl Acad Sci U S A 106:6539–6544. https://doi.org/10.1073/pnas.0812589106CrossRefPubMedPubMedCentral

Rawley JB, Constantinidis C (2011) Effects of task and coordinate frame of attention in area 7a of the primate posterior parietal cortex. J Vis 10:12–12. https://doi.org/10.1167/10.1.12CrossRef

Roth N, Rust NC (2018) Inferotemporal cortex multiplexes behaviorally-relevant target match signals and visual representations in a manner that minimizes their interference. PLoS ONE 13:e0200528. https://doi.org/10.1371/journal.pone.0200528CrossRefPubMedPubMedCentral

Saenz M, Buracas GT, Boynton GM (2002) Global effects of feature-based attention in human visual cortex. Nat Neurosci 5:631–632. https://doi.org/10.1038/nn876CrossRefPubMed

Sarafyazd M, Jazayeri M (2019) Hierarchical reasoning by neural circuits in the frontal cortex. Science 364:eaav8911. https://doi.org/10.1126/SCIENCE.AAV8911CrossRefPubMed

Sebastian A, Jung P, Neuhoff J et al (2016) Dissociable attentional and inhibitory networks of dorsal and ventral areas of the right inferior frontal cortex: a combined task-specific and coordinate-based meta-analytic fMRI study. Brain Struct Funct 221:1635–1651. https://doi.org/10.1007/s00429-015-0994-yCrossRefPubMed

Sereno AB, Lehky SR (2018) Attention effects on neural population representations for shape and location are stronger in the ventral than dorsal stream. eNeuro. https://doi.org/10.1523/ENEURO.0371-17.2018CrossRefPubMedPubMedCentral

Siegel M, Donner TH, Oostenveld R et al (2008) Neuronal Synchronization along the dorsal visual pathway reflects the focus of spatial attention. Neuron 60:709–719. https://doi.org/10.1016/j.neuron.2008.09.010CrossRefPubMed

Sigala N, Logothetis NK (2002) Visual categorization shapes feature selectivity in the primate temporal cortex. Nature 415:318–320. https://doi.org/10.1038/415318aCrossRefPubMed

Skrandies W, Reuther N (2008) Match and mismatch of taste, odor, and color is reflected by electrical activity in the human brain. J Psychophysiol 22:175–184. https://doi.org/10.1027/0269-8803.22.4.175CrossRef

Soltani A, Wang X-J (2006) A biophysically based neural model of matching law behavior: melioration by stochastic synapses. J Neurosci 26:3731–3744. https://doi.org/10.1523/JNEUROSCI.5159-05.2006CrossRefPubMedPubMedCentral

Soto D, Heinke D, Humphreys GW, Blanco MJ (2005) Early, involuntary top-down guidance of attention from working memory. J Exp Psychol Hum Percept Perform 31:248–261. https://doi.org/10.1037/0096-1523.31.2.248CrossRefPubMed

Stein RB, Gossen ER, Jones KE (2005) Neuronal variability: noise or part of the signal? Nat Rev Neurosci 6:389–397. https://doi.org/10.1038/nrn1668CrossRefPubMed

Treue S, Maunsell JH (1999) Effects of attention on the processing of motion in macaque middle temporal and medial superior temporal visual cortical areas. J Neurosci 19:7591–7602. https://doi.org/10.1523/JNEUROSCI.19-17-07591.1999CrossRefPubMedPubMedCentral

Treue S, Trujillo JCM (1999) Feature-based attention influences motion processing gain in macaque visual cortex. Nature 399:575–579. https://doi.org/10.1038/21176CrossRefPubMed

Wallis JD, Miller EK (2003) From rule to response: neuronal processes in the premotor and prefrontal cortex. J Neurophysiol 90:1790–1806. https://doi.org/10.1152/jn.00086.2003CrossRefPubMed

Warden MR, Miller EK (2010) Task-dependent changes in short-term memory in the prefrontal cortex. J Neurosci 30:15801–15810. https://doi.org/10.1523/JNEUROSCI.1569-10.2010CrossRefPubMedPubMedCentral

Williford T, Maunsell JHR (2006) Effects of spatial attention on contrast response functions in macaque area V4. J Neurophysiol 96:40–54. https://doi.org/10.1152/jn.01207.2005CrossRefPubMed

Wilson FAW, Scalaidhe SP, Goldman-Rakic PS (1993) Dissociation of object and spatial processing domains in primate prefrontal cortex. Science 260:1955–1958. https://doi.org/10.1126/science.8316836CrossRefPubMed

Xue C, Kaping D, Ray SB et al (2017) Spatial attention reduces burstiness in macaque visual cortical area MST. Cereb Cortex 27:83–91. https://doi.org/10.1093/cercor/bhw326CrossRefPubMed

Yao T, Ketkar M, Treue S, Krishna BS (2016) Visual attention is available at a task-relevant location rapidly after a saccade. Elife. https://doi.org/10.7554/eLife.18009CrossRefPubMedPubMedCentral

Zarei M, Parto Dezfouli M, Jahed M, Daliri MR (2020) Adaptation modulates spike-phase coupling tuning curve in the rat primary auditory cortex. Front Syst Neurosci 14:55. https://doi.org/10.3389/fnsys.2020.00055CrossRefPubMedPubMedCentral

Titel: Task-specific modulation of PFC activity for matching-rule governed decision-making
verfasst von: Mohsen Parto Dezfouli
Mohammad Zarei
Christos Constantinidis
Mohammad Reza Daliri
Publikationsdatum: 04.01.2021
Verlag: Springer Berlin Heidelberg
Erschienen in: Brain Structure and Function / Ausgabe 2/2021
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-020-02191-7

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