Gain Modulation by Nicotine in Macaque V1

Disney, Anita A.; Aoki, Chiye; Hawken, Michael J.

doi:10.1016/j.neuron.2007.09.034

Cited by 281 publications

(397 citation statements)

References 67 publications

(93 reference statements)

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“…For example, the BF modulates the response gain of single neurons in the VC as well as enhancing the sensitivity of these neurons to low-contrast visual stimuli (45)(46)(47)(48)(49), highlighting that the BF augments the cortical representation of sensory stimuli, consistent with some aspects of attentional modulation (50). Along related lines, BF stimulation also accelerates visual learning and up-regulates cortical visually-evoked potentials (51,52) as well as boosting the reliability of neural signals about sensory information (53)(54)(55).…”

Section: Discussionmentioning

confidence: 86%

Basal forebrain contributes to default mode network regulation

Nair

Klaassen

Arató³

et al. 2018

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

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The default mode network (DMN) is a collection of cortical brain regions that is active during states of rest or quiet wakefulness in humans and other mammalian species. A pertinent characteristic of the DMN is a suppression of local field potential gamma activity during cognitive task performance as well as during engagement with external sensory stimuli. Conversely, gamma activity is elevated in the DMN during rest. Here, we document that the rat basal forebrain (BF) exhibits the same pattern of responses, namely pronounced gamma oscillations during quiet wakefulness in the home cage and suppression of this activity during active exploration of an unfamiliar environment. We show that gamma oscillations are localized to the BF and that gamma-band activity in the BF has a directional influence on a hub of the rat DMN, the anterior cingulate cortex, during DMNdominated brain states. The BF is well known as an ascending, activating, neuromodulatory system involved in wake-sleep regulation, memory formation, and regulation of sensory information processing. Our findings suggest a hitherto undocumented role of the BF as a subcortical node of the DMN, which we speculate may be important for switching between internally and externally directed brain states. We discuss potential BF projection circuits that could underlie its role in DMN regulation and highlight that certain BF nuclei may provide potential target regions for up-or down-regulation of DMN activity that might prove useful for treatment of DMN dysfunction in conditions such as epilepsy or major depressive disorder.gamma suppression | anterior cingulate cortex | granger causality A highly consistent finding across a wide range of functional imaging studies in humans is that a network of brain regions, referred to as the "default mode network" (DMN), increases its activity during passive mental states compared with the performance of cognitive tasks. This was initially shown in a metaanalysis of several PET studies (1), in which a distribution of brain regions broadly including the medial prefrontal, retrosplenial, and anterior cingulate cortex (ACC), as well as lateral parietal and temporal cortices, was shown to be activated when subjects were in a state of quiet restfulness. The DMN areas are thought to form a cohesive set of intrinsically coupled brain regions, such that fMRI activations in its component regions exhibit similar time courses, allowing them to be identified reliably using seed-region analysis (2-4). Activity in the DMN exhibits anticorrelation with a complementary, largely nonoverlapping, set of fronto-parietal brain areas known as the "dorsal attention network" (DAN) (5). It should be noted, however, that particular brain structures may harbor functionally heterogeneous elements and thus may contribute to multiple functions, as was shown for the ACC (6). During wakefulness, the human brain thus alternates between DAN-and DMN-dominated activation states, corresponding to effortful cognitive task performance on the one hand and quiet restful...

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Section: Discussionmentioning

confidence: 86%

Basal forebrain contributes to default mode network regulation

Nair

Klaassen

Arató³

et al. 2018

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

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“…Earlier recordings in thalamocortical slices from the barrel cortex support this result by demonstrating that thalamic synapses, unlike intracortical synapses, are modulated by nAChRs [68]. Even in the visual cortex, nicotine can increase responsiveness to visual stimuli [18,69].…”

Section: Nicotinic Modulation Of Thalamocortical Communicationmentioning

confidence: 81%

Nicotinic actions on neuronal networks for cognition: General principles and long-term consequences

Poorthuis

Goriounova

Couey

et al. 2009

Biochemical Pharmacology

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“…In this section, we illustrate the Bayesian integration of proprioceptive and visual signals to optimize computational motor control of cued reaching movements (Körding and Wolpert 2004;Disney et al 2007;Kreisel et al 2007;Bruyn and Mason 2009;Diedrichsen and Dowling 2009). This method highlights the ability of active inference to explain multimodal integration in perception: through the convergence of bottom-up sensory prediction errors that optimize perceptual representations and multimodal integration in action; through the convergence of top-down sensory prediction error onto motor commands that optimize action.…”

Section: Sensorimotor Integrationmentioning

confidence: 99%

“…The red arrows denote ascending or bottom-up effects and black arrows mean descending or top-down message passing. The equations in the text boxes indicate the mapping implicit in the corresponding model trying to predict proprioceptive and interoceptive sensations (i.e., value-learning) and the role of acetylcholine in optimizing hierarchical inference on exteroceptive input in posterior (e.g., paralimbic and parietal) systems (i.e., attention; Disney et al 2007). Furthermore, this perspective on dopaminergic function fits comfortably with a gating role for dopamine (O'Reilly et al 2002) in selecting the percepts that guide action (Redgrave et al 1999).…”

mentioning

confidence: 99%

Action and behavior: a free-energy formulation

et al. 2010

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We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz's agenda to understand the brain in terms of energy minimization. It is fairly easy to show that making inferences about the causes of sensory data can be cast as the minimization of a free-energy bound on the likelihood of sensory inputs, given an internal model of how they were caused. In this article, we consider what would happen if the data themselves were sampled to minimize this bound. It transpires that the ensuing active sampling or inference is mandated by ergodic arguments based on the very existence of adaptive agents. Furthermore, it accounts for many aspects of motor behavior; from retinal stabilization to goal-seeking. In particular, it suggests that motor control can be understood as fulfilling prior expectations about proprioceptiveThe free-energy principle is an attempt to explain the structure and function of the brain, starting from the fact that we exist: This fact places constraints on our interactions with the world, which have been studied for years in evolutionary biology and systems theory. However, recent advances in statistical physics and machine learning point to a simple scheme that enables biological systems to comply with these constraints. If one looks at the brain as implementing this scheme (minimizing a free-energy bound on disorder), then many aspects of its anatomy and physiology start to make sense. In this article, we show that free-energy can be reduced by selectively sampling sensory inputs. This leads to adaptive responses and provides a new view of how movement control might work in the brain. The main conclusion is that we only need to have expectations about the sensory consequences of moving in order to elicit movement. This means we that can replace the notion of desired movements with expected movements and understand action in terms of perceptual expectations.The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, sensations. This formulation can explain why adaptive behavior emerges in biological agents and suggests a simple alternative to optimal control theory. We illustrate these points using simulations of oculomotor control and then apply to same principles to cued and goal-directed movements. In short, the free-energy formulation may provide an alternative perspective on the motor control that places it in an intimate relationship with perception.

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Gain Modulation by Nicotine in Macaque V1

Cited by 281 publications

References 67 publications

Basal forebrain contributes to default mode network regulation

Basal forebrain contributes to default mode network regulation

Nicotinic actions on neuronal networks for cognition: General principles and long-term consequences

Action and behavior: a free-energy formulation

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