Transitions between Multiband Oscillatory Patterns Characterize Memory-Guided Perceptual Decisions in Prefrontal Circuits

Neuronal activity in the lateral prefrontal cortex (LPFC) reflects the structure and cognitive demands of memory-guided sensory discrimination tasks. However, we still do not know how neuronal activity articulates in network states involved in perceiving, remembering, and comparing sensory information during such tasks. Oscillations in local field potentials (LFPs) provide fingerprints of such network dynamics. Here, we examined LFPs recorded from LPFC of macaques while they compared the directions or the speeds of two moving random-dot patterns, S1 and S2, separated by a delay. LFP activity in the theta, beta, and gamma bands tracked consecutive components of the task. In response to motion stimuli, LFP theta and gamma power increased, and beta power decreased, but showed only weak motion selectivity. In the delay, LFP beta power modulation anticipated the onset of S2 and encoded the task-relevant S1 feature, suggesting network dynamics associated with memory maintenance. After S2 onset the difference between the current stimulus S2 and the remembered S1 was strongly reflected in broadband LFP activity, with an early sensory-related component proportional to stimulus difference and a later choice-related component reflecting the behavioral decision buildup. Our results demonstrate that individual LFP bands reflect both sensory and cognitive processes engaged independently during different stages of the task. This activation pattern suggests that during elementary cognitive tasks, the prefrontal network transitions dynamically between states and that these transitions are characterized by the conjunction of LFP rhythms rather than by single LFP bands. SIGNIFICANCE STATEMENT Neurons in the brain communicate through electrical impulses and coordinate this activity in ensembles that pulsate rhythmically, very much like musical instruments in an orchestra. These rhythms change with “brain state,” from sleep to waking, but also signal with different oscillation frequencies rapid changes between sensory and cognitive processing. Here, we studied rhythmic electrical activity in the monkey prefrontal cortex, an area implicated in working memory, decision making, and executive control. Monkeys had to identify and remember a visual motion pattern and compare it to a second pattern. We found orderly transitions between rhythmic activity where the same frequency channels were active in all ongoing prefrontal computations. This supports prefrontal circuit dynamics that transitions rapidly between complex rhythmic patterns during structured cognitive tasks.

[1]  Bijan Pesaran,et al.  Temporal structure in neuronal activity during working memory in macaque parietal cortex , 2000, Nature Neuroscience.

[2]  Katherine M. Armstrong,et al.  Selective gating of visual signals by microstimulation of frontal cortex , 2003, Nature.

[3]  R. Romo,et al.  α-Oscillations in the monkey sensorimotor network influence discrimination performance by rhythmical inhibition of neuronal spiking , 2011, Proceedings of the National Academy of Sciences.

[4]  H. Kennedy,et al.  Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels , 2014, Neuron.

[5]  Julio C. Martinez-Trujillo,et al.  Sharp emergence of feature-selective sustained activity along the dorsal visual pathway , 2014, Nature Neuroscience.

[6]  Craig G. Richter,et al.  Interareal oscillatory synchronization in top-down neocortical processing , 2015, Current Opinion in Neurobiology.

[7]  Eric L. Denovellis,et al.  Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex , 2012, Neuron.

[8]  G Pfurtscheller,et al.  Discrimination between phase-locked and non-phase-locked event-related EEG activity. , 1995, Electroencephalography and clinical neurophysiology.

[9]  E. Miller,et al.  Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices , 2007, Science.

[10]  Jun Tanji,et al.  Differential involvement of neurons in the dorsal and ventral premotor cortex during processing of visual signals for action planning. , 2006, Journal of neurophysiology.

[11]  R. Romo,et al.  Beta oscillations in the monkey sensorimotor network reflect somatosensory decision making , 2011, Proceedings of the National Academy of Sciences.

[12]  R. Desimone,et al.  High-Frequency, Long-Range Coupling Between Prefrontal and Visual Cortex During Attention , 2009, Science.

[13]  P. Roelfsema,et al.  Alpha and gamma oscillations characterize feedback and feedforward processing in monkey visual cortex , 2014, Proceedings of the National Academy of Sciences.

[14]  Tatiana Pasternak,et al.  Common Rules Guide Comparisons of Speed and Direction of Motion in the Dorsolateral Prefrontal Cortex , 2013, The Journal of Neuroscience.

[15]  Jonathan D. Wallis,et al.  Executive control processes underlying multi-item working memory , 2014, Nature Neuroscience.

[16]  A. Engel,et al.  Beta-band oscillations—signalling the status quo? , 2010, Current Opinion in Neurobiology.

[17]  E. Miller,et al.  An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.

[18]  Markus Siegel,et al.  Cortical information flow during flexible sensorimotor decisions , 2015, Science.

[19]  Albert Compte,et al.  Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT , 2015, Nature Communications.

[20]  Leo L. Lui,et al.  Unilateral Prefrontal Lesions Impair Memory-Guided Comparisons of Contralateral Visual Motion , 2015, The Journal of Neuroscience.

[21]  Robert Desimone,et al.  Lesions of prefrontal cortex reduce attentional modulation of neuronal responses and synchrony in V4 , 2014, Nature Neuroscience.

[22]  E. Miller,et al.  Frequency-specific hippocampal-prefrontal interactions during associative learning , 2015, Nature Neuroscience.

[23]  Sébastien Tremblay,et al.  Single-Trial Decoding of Visual Attention from Local Field Potentials in the Primate Lateral Prefrontal Cortex Is Frequency-Dependent , 2015, The Journal of Neuroscience.

[24]  Christopher J. Cueva,et al.  Natural Grouping of Neural Responses Reveals Spatially Segregated Clusters in Prearcuate Cortex , 2015, Neuron.

[25]  S. Kastner,et al.  Topographic maps in human frontal and parietal cortex , 2009, Trends in Cognitive Sciences.

[26]  Rodrigo F. Salazar,et al.  Content-Specific Fronto-Parietal Synchronization During Visual Working Memory , 2012, Science.

[27]  Tatiana Pasternak,et al.  Memory-Guided Sensory Comparisons in the Prefrontal Cortex: Contribution of Putative Pyramidal Cells and Interneurons , 2012, The Journal of Neuroscience.

[28]  Gustavo Deco,et al.  Task-driven intra- and interarea communications in primate cerebral cortex , 2014, Proceedings of the National Academy of Sciences.

[29]  P. Goldman-Rakic,et al.  Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. , 1989, Journal of neurophysiology.

[30]  Jack W. Tsao,et al.  Observed brain dynamics, P.P. Mitra, H. Bokil. Oxford University Press (2008), ISBN-13: 978-0-19-517808-1, 381 pages, $65.00 , 2009 .

[31]  Robert C. Liu,et al.  Predicting stimulus-locked single unit spiking from cortical local field potentials , 2010, Journal of Computational Neuroscience.

[32]  T. Pasternak,et al.  Directional Signals in the Prefrontal Cortex and in Area MT during a Working Memory for Visual Motion Task , 2006, The Journal of Neuroscience.

[33]  Tatiana Pasternak,et al.  Flexibility of Sensory Representations in Prefrontal Cortex Depends on Cell Type , 2009, Neuron.

[34]  R. Desimone,et al.  Attention Increases Sensitivity of V4 Neurons , 2000, Neuron.

[35]  Michael Okun,et al.  The Subthreshold Relation between Cortical Local Field Potential and Neuronal Firing Unveiled by Intracellular Recordings in Awake Rats , 2010, The Journal of Neuroscience.

[36]  J. Movshon,et al.  The analysis of visual motion: a comparison of neuronal and psychophysical performance , 1992, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[37]  C. Koch,et al.  The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes , 2012, Nature Reviews Neuroscience.

[38]  W. Newsome,et al.  Local Field Potential in Cortical Area MT: Stimulus Tuning and Behavioral Correlations , 2006, The Journal of Neuroscience.

[39]  A. Engel,et al.  Cortical Network Dynamics of Perceptual Decision-Making in the Human Brain , 2011, Frontiers in Human Neuroscience.

[40]  Gregor M. Hörzer,et al.  Theta coupling between V4 and prefrontal cortex predicts visual short-term memory performance , 2012, Nature Neuroscience.

[41]  Tatiana Pasternak,et al.  Trial-to-trial variability of the prefrontal neurons reveals the nature of their engagement in a motion discrimination task , 2010, Proceedings of the National Academy of Sciences.

[42]  Theodoros P. Zanos,et al.  Removal of spurious correlations between spikes and local field potentials. , 2011, Journal of neurophysiology.

[43]  Stephen V. David,et al.  Decoupling Action Potential Bias from Cortical Local Field Potentials , 2010, Comput. Intell. Neurosci..

[44]  C. Curtis,et al.  Multiple component networks support working memory in prefrontal cortex , 2015, Proceedings of the National Academy of Sciences.

[45]  J. Fuster Prefrontal Cortex , 2018 .

[46]  Junying Yuan,et al.  Selective gating of visual signals by microstimulation of frontal cortex , 2022 .

[47]  Stefan Everling,et al.  Burst Firing Synchronizes Prefrontal and Anterior Cingulate Cortex during Attentional Control , 2014, Current Biology.

[48]  Mark Von Tress,et al.  Generalized, Linear, and Mixed Models , 2003, Technometrics.

[49]  Jeffrey D. Schall,et al.  Review of signal distortion through metal microelectrode recording circuits and filters , 2008, Journal of Neuroscience Methods.

[50]  Paul S Khayat,et al.  Frequency-Dependent Attentional Modulation of Local Field Potential Signals in Macaque Area MT , 2010, The Journal of Neuroscience.

[51]  Y. Isomura,et al.  Direct recording of theta oscillations in primate prefrontal and anterior cingulate cortices. , 2006, Journal of neurophysiology.

[52]  M. Carandini,et al.  Local Origin of Field Potentials in Visual Cortex , 2009, Neuron.

[53]  A. Riehle,et al.  The ups and downs of beta oscillations in sensorimotor cortex , 2013, Experimental Neurology.

[54]  Tatiana Pasternak,et al.  Representation of comparison signals in cortical area MT during a delayed direction discrimination task. , 2011, Journal of neurophysiology.

[55]  Yan Zhang,et al.  Prestimulus Cortical Activity is Correlated with Speed of Visuomotor Processing , 2008, Journal of Cognitive Neuroscience.