Frontoparietal Correlation Dynamics Reveal Interplay between Integration and Segregation during Visual Working Memory

Dotson, Nicholas M.; Salazar, Rodrigo F.; Gray, Charles M.

doi:10.1523/jneurosci.1961-14.2014

Cited by 56 publications

(68 citation statements)

References 62 publications

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“…Antiphase synchronization (15-30 Hz) between spikes in the parietal reach region and LFPs in the dorsal premotor cortex has been implicated in down-modulation of communication to selectively prevent transmission of movementrelated information (48). Likewise, bimodal distributions of relative phases (0°and 180°) between LFPs (8-25 Hz) in the prefrontal and posterior parietal cortical areas has been suggested to represent specific patterns of coupling among neurons in these areas (49). Given that conduction delays within an area and even across areas are much smaller than the half period of a theta cycle, the antiphase relations in theta coherence found here are likely not due to conduction delays but may represent different populations of MIo neurons whose activity either leads or lags the force generation (16,49) or a down-modulation of communication between MIo and SIo to prevent transmission of irrelevant sensory or movement-related information (48).…”

Section: Discussionmentioning

confidence: 99%

“…Likewise, bimodal distributions of relative phases (0°and 180°) between LFPs (8-25 Hz) in the prefrontal and posterior parietal cortical areas has been suggested to represent specific patterns of coupling among neurons in these areas (49). Given that conduction delays within an area and even across areas are much smaller than the half period of a theta cycle, the antiphase relations in theta coherence found here are likely not due to conduction delays but may represent different populations of MIo neurons whose activity either leads or lags the force generation (16,49) or a down-modulation of communication between MIo and SIo to prevent transmission of irrelevant sensory or movement-related information (48). The results further refine the understanding of the temporal sequence of coherent activity between MIo and SIo and suggest that cortico-cortical coherence may use phase to organize the activity of neuronal assemblies at different timescales or for segregating feedforward and feedback influences so that orofacial sensorimotor behaviors using different muscles and motor patterns are appropriately coordinated during learning.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies

Arce-McShane

Ross

Takahashi

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Skilled movements rely on sensory information to shape optimal motor responses, for which the sensory and motor cortical areas are critical. How these areas interact to mediate sensorimotor integration is largely unknown. Here, we measure intercortical coherence between the orofacial motor (MIo) and somatosensory (SIo) areas of cortex as monkeys learn to generate tongue-protrusive force. We report that coherence between MIo and SIo is reciprocal and that neuroplastic changes in coherence gradually emerge over a few days. These functional networks of coherent spiking and local field potentials exhibit frequency-specific spatiotemporal properties. During force generation, theta coherence (2-6 Hz) is prominent and exhibited by numerous paired signals; before or after force generation, coherence is evident in alpha (6-13 Hz), beta (15-30 Hz), and gamma (30-50 Hz) bands, but the functional networks are smaller and weaker. Unlike coherence in the higher frequency bands, the distribution of the phase at peak theta coherence is bimodal with peaks near 0°and ±180°, suggesting that communication between somatosensory and motor areas is coordinated temporally by the phase of theta coherence. Time-sensitive sensorimotor integration and plasticity may rely on coherence of local and large-scale functional networks for cortical processes to operate at multiple temporal and spatial scales.S ynchrony between cortical areas has been implicated in neuronal communication and plasticity (1-4). Sensorimotor integration and formation of motor memories during learning are examples wherein effective communication between sensory and motor areas of the cerebral cortex is critical. However, very few studies have investigated coherence between the somatosensory and motor pathways in primates (5-7). These past studies have been confined to upper limb tasks, and none of them looked at changes in coherence during learning. Here, we investigated the synchronous activity between the orofacial primary motor (MIo) and somatosensory (SIo) cortical areas that play important roles in the control of orofacial behaviors (8-10). Sensorimotor control of oral behaviors is complex, involving the integration of afferent information for moving the tongue and facial muscles. Anatomical connections between MIo and SIo are dense and both areas have bilateral orofacial representations and project to brainstem cranial nerve motor nuclei containing the motoneurons projecting to jaw, facial, and tongue muscles (11,12). These connections provide a substrate for interareal communication between MIo and SIo for the control and learning of orofacial behaviors. To investigate cortico-cortical interactions between these areas, we measured coherence of spiking and local field potentials (LFPs) recorded simultaneously from MIo and SIo of the left hemisphere as monkeys learned a simple and controlled tongue protrusion task. Several studies using this behavioral paradigm have reported neuroplasticity and modulation of neuronal activity related to tongue protrusion separatel...

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies

Arce-McShane

Ross

Takahashi

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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“…For instance, alpha oscillations have been shown to increase in the early visual regions in anticipation of a distractor in working memory tasks (Bonnefond and Jensen, 2012; Payne et al, 2013). With respect to the interregional phase relationship, antisynchrony (∼180° phase difference) between parietal and frontal areas during an oculomotor, delayed-match-to-sample task has been reported (Dotson et al, 2014); however, there are also findings demonstrating a decrease in synchronization between visual regions when spatial attention is directed away (e.g., Saalmann et al, 2012; Bastos et al, 2015). …”

Section: Existing Evidence and Predictions For Communication By Nestementioning

confidence: 99%

Communication between Brain Areas Based on Nested Oscillations

Bonnefond

Kästner

Jensen

2017

eNeuro

241

190

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Unraveling how brain regions communicate is crucial for understanding how the brain processes external and internal information. Neuronal oscillations within and across brain regions have been proposed to play a crucial role in this process. Two main hypotheses have been suggested for routing of information based on oscillations, namely communication through coherence and gating by inhibition. Here, we propose a framework unifying these two hypotheses that is based on recent empirical findings. We discuss a theory in which communication between two regions is established by phase synchronization of oscillations at lower frequencies (<25 Hz), which serve as temporal reference frame for information carried by high-frequency activity (>40 Hz). Our framework, consistent with numerous recent empirical findings, posits that cross-frequency interactions are essential for understanding how large-scale cognitive and perceptual networks operate.

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“…Correlation-based studies have provided 33 further evidence for dependency. Phase-locking of local field potential oscillations has 34 been observed in the context of a visual search task (Buschman and Miller, 2007) and an 35 object working memory task (Salazar et al, 2012;Dotson et al, 2014). Likewise, in an 36 analysis of the resting state BOLD signal, synchrony has been observed on long time 37 scales (Hutchison et al, 2012).…”

Section: Introductionmentioning

confidence: 94%

Novel Interaction between Prefrontal and Parietal Cortex during Memory Guided Saccades

Hall

Colby

Olson

2020

Preprint

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Dorsolateral prefrontal cortex (DLPFC) and posterior parietal cortex (PPC) are linked to each other by direct reciprocal connections and by numerous pathways that traverse other areas. The nature of the functional coordination mediated by the interconnecting pathways is not well understood. To cast light on this issue, we simultaneously monitored neuronal activity in DLPFC (areas FEF and 8a) and PPC (areas LIP and 7a) while monkeys performed a memory guided saccade task. On measuring the spike-count correlation, a measure of the tendency for firing rates to covary across trials, we found that the DLPFC-PPC correlation became negative at the time of the saccade if and only if the neurons had matching spatial preferences and the target was at their mutually preferred location. The push-pull coordination underlying the negative spike-count correlation may help to ensure that saccadic commands emanating from DLPFC and PPC sum a constant value.

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Frontoparietal Correlation Dynamics Reveal Interplay between Integration and Segregation during Visual Working Memory

Cited by 56 publications

References 62 publications

Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies

Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies

Communication between Brain Areas Based on Nested Oscillations

Novel Interaction between Prefrontal and Parietal Cortex during Memory Guided Saccades

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