The visual corticostriatal loop through the tail of the caudate: circuitry and function

Seger, Carol A.

doi:10.3389/fnsys.2013.00104

Cited by 82 publications

(76 citation statements)

References 142 publications

(168 reference statements)

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“…The caudate tail and extrastriate cortex share connections through the visual corticostriatal loop (Seger, 2013). Extrastriate cortex projects to the caudate tail, from which information flows either through an open loop to the superior colliculus or through a closed loop back to extrastriate cortex via the thalamus.…”

Section: Discussionmentioning

confidence: 99%

Value-driven attentional priority signals in human basal ganglia and visual cortex

2014

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Goal-directed and stimulus-driven factors determine attentional priority through a well defined dorsal frontal-parietal and ventral temporal-parietal network of brain regions, respectively. Recent evidence demonstrates that reward-related stimuli also have high attentional priority, independent of their physical salience and goal-relevance. The neural mechanisms underlying such value-driven attentional control are unknown. Using human functional magnetic resonance imaging, we demonstrate that the tail of the caudate nucleus and extrastriate visual cortex respond preferentially to task-irrelevant but previously reward-associated objects, providing an attentional priority signal that is sensitive to reward history. The caudate tail has not been implicated in the control of goal-directed or stimulus-driven attention, but is well suited to mediate the value-driven control of attention. Our findings reveal the neural basis of value-based attentional priority.

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Section: Discussionmentioning

confidence: 99%

Value-driven attentional priority signals in human basal ganglia and visual cortex

2014

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“…Given that inputs from the PFC to the dorsal striatum regulate the expression of reward-driven decision-making (Delgado et al, 2004;Haber et al, 2006), and that increased fronto-striatal connectivity is associated with greater frontal regulation over subcortical signals reflecting heightened reward sensitivity (Heatherton and Wagner, 2011), these results suggest greater frontal regulation of salience attribution was occurring during methamphetamine cue processing under opioid blockade (Goldstein and Volkow, 2011;Hare et al, 2009). Further, naltrexone may be modulating the visual corticostriatal loop, which includes connections from the ventromedial occipital cortex to the caudate specifically (Seger, 2013), and in turn may represent altered visual information processing of the methamphetamine cues during opioid blockade. Importantly, naltrexone-moderated caudate functional connectivity during methamphetamine cues processing was found to correlate with self-reported tonic craving.…”

Section: Effects Of Opioid Blockade On Functional Connectivitymentioning

confidence: 99%

The Effects of Pharmacological Opioid Blockade on Neural Measures of Drug Cue-Reactivity in Humans

Courtney

Ghahremani

Ray

2016

Neuropsychopharmacol

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Interactions between dopaminergic and opioidergic systems have been implicated in the reinforcing properties of drugs of abuse. The present study investigated the effects of opioid blockade, via naltrexone, on functional magnetic resonance imaging (fMRI) measures during methamphetamine cue-reactivity to elucidate the role of endogenous opioids in the neural systems underlying drug craving. To investigate this question, non-treatment seeking individuals with methamphetamine use disorder (N = 23; 74% male, mean age = 34.70 (SD = 8.95)) were recruited for a randomized, placebo controlled, within-subject design and underwent a visual methamphetamine cue-reactivity task during two blood-oxygen-level dependent (BOLD) fMRI sessions following 3 days of naltrexone (50 mg) and matched time for placebo. fMRI analyses tested naltrexone-induced differences in BOLD activation and functional connectivity during cue processing. The results showed that naltrexone administration reduced cue-reactivity in sensorimotor regions and related to altered functional connectivity of dorsal striatum, ventral tegmental area, and precuneus with frontal, visual, sensory, and motor-related regions. Naltrexone also weakened the associations between subjective craving and precuneus functional connectivity with sensorimotor regions and strengthened the associations between subjective craving and dorsal striatum and precuneus connectivity with frontal regions. In conclusion, this study provides the first evidence that opioidergic blockade alters neural responses to drug cues in humans with methamphetamine addiction and suggests that naltrexone may be reducing drug cue salience by decreasing the involvement of sensorimotor regions and by engaging greater frontal regulation over salience attribution.

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“…There is evidence for the involvement of both the striatum and the basal ganglia in gating. Seger (2013) cortex and a later phase mediated by the hippocampus (Grunwald et al, 2003). Grunwald et al (2003) point out that ''early, preattentive, stages may involve filtering out irrelevant input and are mediated by neocortical (prefrontal and peri-Sylvian) regions, as measured by P50 auditory evoked potentials spiking, whereas the hippocampus proper contributes more to a later, and possibly attentive, filtering in of relevant input.…”

Section: Gatingmentioning

confidence: 97%

The Misnomer of Attention-Deficit Hyperactivity Disorder

Wasserman

2015

Applied Neuropsychology: Child

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We propose that attention-deficit disorder represents an inefficiency of an integrated system designed to allocate working memory to designated tasks rather than the absence or dysfunction of a particular form of attention. A significant portion of this inefficiency in the allocation of working memory represents poor engagement of the reward circuit with distinct circuits of learning and performance that control instrumental conditioning (learning). Efficient attention requires the interaction of these circuits. For a significant percentage of individuals who present with attention-deficit disorder, their problems represent the engagement, or lack thereof, of the motivational and reward circuit as opposed to problems, or disorders of attention traditionally defined as problems with orienting, focusing, and sustaining. We demonstrate that there is an integrated system of working-memory allocation that responds by recruiting relevant aspects of both cortex and subcortex to the demands of the task being encountered. In this model, attention is viewed as a gating function determined by novelty, flight-or-fight response, and reward history/valence affecting motivation. We view the traditional models of attention, rather than describe specific types of attention per se, as representing the description of the behavioral output of this integrated orienting and engagement system designed to allocate working memory to task-specific stimuli.

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The visual corticostriatal loop through the tail of the caudate: circuitry and function

Cited by 82 publications

References 142 publications

Value-driven attentional priority signals in human basal ganglia and visual cortex

Value-driven attentional priority signals in human basal ganglia and visual cortex

The Effects of Pharmacological Opioid Blockade on Neural Measures of Drug Cue-Reactivity in Humans

The Misnomer of Attention-Deficit Hyperactivity Disorder

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