Engagement of Pulvino-cortical Feedforward and Feedback Pathways in Cognitive Computations

Jaramillo, Jorge; Mejías, Jorge F.; Wang, Xiao Jing

doi:10.1016/j.neuron.2018.11.023

Cited by 137 publications

(113 citation statements)

References 100 publications

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“…If the real part of the eigenvalues is negative, the deterministic equations have damped oscillations; the corresponding stochastic Wilson-Cowan network operates then in the Transient synchrony regime (also know as the quasi-cycle regime) where oscillations, albeit irregular ones, are sustained by noise. This regime is very popular and has already been suggested to underlie frequency-specific, hierarchical corticocortical 51,52 and thalamocortical 53 interactions, although with a reduced level of complexity. The analytical treatment in the present study might very well serve as a starting point to understand these large-scale interactions at a more fundamental level.…”

Section: Resultsmentioning

confidence: 99%

Determinants of Brain Rhythm Burst Statistics

Powanwe

Longtin

2019

Sci Rep

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Brain rhythms recorded in vivo, such as gamma oscillations, are notoriously variable both in amplitude and frequency. They are characterized by transient epochs of higher amplitude known as bursts. It has been suggested that, despite their short-life and random occurrence, bursts in gamma and other rhythms can efficiently contribute to working memory or communication tasks. Abnormalities in bursts have also been associated with e.g. motor and psychiatric disorders. It is thus crucial to understand how single cell and connectivity parameters influence burst statistics and the corresponding brain states. To address this problem, we consider a generic stochastic recurrent network of Pyramidal Interneuron Network Gamma (PING) type. Using the stochastic averaging method, we derive dynamics for the phase and envelope of the amplitude process, and find that they depend on only two meta-parameters that combine all the model parameters. This allows us to identify an optimal parameter regime of healthy variability with similar statistics to those seen in vivo; in this regime, oscillations and bursts are supported by synaptic noise. The probability density for the rhythm’s envelope as well as the mean burst duration are then derived using first passage time analysis. Our analysis enables us to link burst attributes, such as duration and frequency content, to system parameters. Our general approach can be extended to different frequency bands, network topologies and extra populations. It provides the much needed insight into the biophysical determinants of rhythm burst statistics, and into what needs to be changed to correct rhythms with pathological statistics.

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Section: Resultsmentioning

confidence: 99%

Determinants of Brain Rhythm Burst Statistics

Powanwe

Longtin

2019

Sci Rep

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“…The pulvinar is part of the "thalamic matrix" and projects diffusely to the cortex, playing a significant role in cognition and attentive stimulus processing (87). Recent studies have confirmed that the pulvinar can facilitate attention-related communication across widespread neuronal networks including higher-order sensory cortices (88) and, as mentioned before, it has a clear role in photophobia. In the future, neuroimaging studies focused on these nuclei will help clear the role of thalamic dysfunction in visual snow.…”

Section: Toward a Model For Visual Snowmentioning

confidence: 86%

Imaging the Visual Network in the Migraine Spectrum

et al. 2019

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The involvement of the visual network in migraine pathophysiology has been well-known for more than a century. Not only is the aura phenomenon linked to cortical alterations primarily localized in the visual cortex; but also migraine without aura has shown distinct dysfunction of visual processing in several studies in the past. Further, the study of photophobia, a hallmark migraine symptom, has allowed unraveling of distinct connections that link retinal pathways to the trigeminovascular system. Finally, visual snow, a recently recognized neurological disorder characterized by a continuous visual disturbance, is highly comorbid with migraine and possibly shares with it some common pathophysiological mechanisms. Here, we review the most relevant neuroimaging literature to date, considering studies that have either attempted to investigate the visual network or have indirectly shown visual processing dysfunctions in migraine. We do this by taking into account the broader spectrum of migrainous biology, thus analyzing migraine both with and without aura, focusing on light sensitivity as the most relevant visual symptom in migraine, and finally analyzing the visual snow syndrome. We also present possible hypotheses on the underlying pathophysiology of visual snow, for which very little is currently known.

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“…Recent studies provided theoretical, connectional, functional, and modeling evidence to support the notion of a “cognitive thalamus,” thereby indicating the critical role exerted by the region in control of cognition. The “cognitive thalamus” hypothesis postulates that the region is a key modulating hub for corticocortical interactions . According to the hypothesis, high‐order thalamic nuclei (ie, associative and posterior nuclei) exhibit critical functional and structural connections with the DMN, thereby affecting network activity and, ultimately, cognition.…”

Section: Thalamocortical Dysrhythmia As the Driver Of Dmn Decouplingmentioning

confidence: 99%

Hallucinations, somatic‐functional disorders of PD‐DLB as expressions of thalamic dysfunction

et al. 2019

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Hallucinations, delusions, and functional neurological manifestations (conversion and somatic symptom disorders) of Parkinson's disease (PD) and dementia with Lewy bodies increase in frequency with disease progression, predict the onset of cognitive decline, and eventually blend with and are concealed by dementia. These symptoms share the absence of reality constraints and can be considered comparable elements of the PD‐dementia with Lewy bodies psychosis. We propose that PD‐dementia with Lewy bodies psychotic disorders depend on thalamic dysfunction promoting a theta burst mode and subsequent thalamocortical dysrhythmia with focal cortical coherence to theta electroencephalogram rhythms. This theta electroencephalogram activity, also called fast‐theta or pre‐alpha, has been shown to predict cognitive decline and fluctuations in Parkinson's disease with dementia and dementia with Lewy bodies. These electroencephalogram alterations are now considered a predictive marker for progression to dementia. The resulting thalamocortical dysrhythmia inhibits the frontal attentional network and favors the decoupling of the default mode network. As the default mode network is involved in integration of self‐referential information into conscious perception, unconstrained default mode network activity, as revealed by recent imaging studies, leads to random formation of connections that link strong autobiographical correlates to trivial stimuli, thereby producing hallucinations, delusions, and functional neurological disorders. The thalamocortical dysrhythmia default mode network decoupling hypothesis provides the rationale for the design and testing of novel therapeutic pharmacological and nonpharmacological interventions in the context of PD, PD with dementia, and dementia with Lewy bodies. © 2019 International Parkinson and Movement Disorder Society

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Engagement of Pulvino-cortical Feedforward and Feedback Pathways in Cognitive Computations

Cited by 137 publications

References 100 publications

Determinants of Brain Rhythm Burst Statistics

Determinants of Brain Rhythm Burst Statistics

Imaging the Visual Network in the Migraine Spectrum

Hallucinations, somatic‐functional disorders of PD‐DLB as expressions of thalamic dysfunction

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