Comparative characteristics of unit activity in the prefrontal and parietal areas during delayed performance in monkeys

Батуев, А. С.; Shaefer, V.I.; Орлов, А. А.

doi:10.1016/0166-4328(85)90082-8

Cited by 40 publications

(16 citation statements)

References 26 publications

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“…This finding is in line with earlier literature on electrophysiological recordings in monkeys suggesting a role for the PFC in WM processes and temporal integration of information (Fuster 1973(Fuster , 1997Goldman-Rakic 1987;Funahashi et al 1989;Fuster et al 2000). The proportion of neurons that, in the control condition, responded spatially selectively during the delay period (7%) or during both cue and delay periods (7% ; Table 1) is comparable to earlier electrophysiological studies in monkeys in which neuronal activity was recorded in the PFC during a spatial delayed response or DMTS task with 2 locations (e.g., Niki 1974;Batuev et al 1985;Artchakov et al 2007). When more than 2 locations were used as memoranda the proportion of neurons exhibiting spatial selectivity during the delay has been higher (Funahashi et al 1989).…”

Section: Discussionsupporting

confidence: 72%

Distracters Impair and Create Working Memory-Related Neuronal Activity in the Prefrontal Cortex

Artchakov

Tikhonravov

et al. 2009

Cerebral Cortex

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The prefrontal cortex (PFC) has a central role in working memory (WM). Resistance to distraction is considered a fundamental feature of WM and PFC neuronal activity. However, although unexpected stimuli often disrupt our work, little is known about the underlying neuronal mechanisms involved. In the present study, we investigated whether irregularly presented distracters disrupt WM task performance and underlying neuronal activity. We recorded single neuron activity in the PFC of 2 monkeys performing WM tasks and investigated effects of auditory and visual distracters on WM performance and neuronal activity. Distracters impaired memory task performance and affected PFC neuronal activity. Distraction that was of the same sensory modality as the memorandum was more likely to impair WM performance and interfere with memory-related neuronal activity than information that was of a different sensory modality. The study also shows that neurons not involved in memory processing in less demanding conditions may become engaged in WM processing in more demanding conditions. The study demonstrates that WM performance and underlying neuronal activity are vulnerable to irregular distracters and suggests that the PFC has mechanisms that help to compensate for disruptive effects of external distracters.

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Section: Discussionsupporting

confidence: 72%

Distracters Impair and Create Working Memory-Related Neuronal Activity in the Prefrontal Cortex

Artchakov

Tikhonravov

et al. 2009

Cerebral Cortex

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“…These potentials were recorded during the delay period of a delayedresponse task-a period requiring the location of a target stimulus to be remembered. Studies of single cell functioning in monkeys have shown persistent firing of prefrontal and parietal neurons during delay periods in which target location must be remembered (Batuev et al, 1985;Chafee and Goldman-Rakic, 2000). Consistent with these findings, positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) studies have shown enhanced activation in the prefrontal and parietal cortices in humans during spatial working-memory tasks (Jonides et al, 1993;Rowe et al, 2000).…”

Section: Introductionsupporting

confidence: 56%

Linkage Analyses of Event-Related Potential Slow Wave Phenotypes Recorded in a Working Memory Task

et al. 2005

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Working memory is an essential component of wide-ranging cognitive functions. It is a complex genetic trait probably influenced by numerous genes that individually have only a small influence. These genes may have an amplified influence on phenotypes closer to the gene action. In this study, event-related potential (ERP) phenotypes recorded during a workingmemory task were collected from 656 adolescents from 299 families for whom genotypes were available. Univariate linkage analyses using the MERLIN variance-components method were conducted on slow wave phenotypes recorded at multiple sites while participants were required to remember the location of a target. Suggestive linkage (LOD > 2.2) was found on chromosomes 4, 5, 6, 10, 17, and 20. After correcting for multiple testing, suggestive linkage remained on chromosome 10. Empirical thresholds were computed for the most promising phenotypes. Those on chromosome 10 remained suggestive. A number of genes reported to regulate neural differentiation and function (i.e. NRP1, ANK3, and CHAT) were found under these linkage peaks and may influence the levels of neural activity occurring in individuals participating in a spatial working-memory task.

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“…The other is the connectionist view that emphasizes parallel distributed neural networks in mediation of complex cognitive processes (Edelman and Mouncastle, 1978;Goldman-Rakic, 1988;Damasio, 1989;Mesulam, 1990;Fuster, 2003). This view is supported by substantial morphological evidence (eg, Selemon and Goldman-Rakic, 1988) as well as electrophysiological recordings in behaving animals and functional-imaging studies in humans (Fuster and Alexander, 1971;Batuev et al, 1985;Goldman-Rakic, 1988;Treue and Maunsell, 1996;Dolan et al, 1997;Friston, 2002;Gruber et al, 2007). Contemporary approaches to cortical function consider both types of processing relevant and generally assume that modular processing is a manifestation of parallel computational networks.…”

Section: Introductionmentioning

confidence: 71%

Divergent Plasticity of Prefrontal Cortex Networks

Moghaddam

Homayoun

2007

Neuropsychopharmacol

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The 'executive' regions of the prefrontal cortex (PFC) such as the dorsolateral PFC (dlPFC) and its rodent equivalent medial PFC (mPFC) are thought to respond in concert with the 'limbic' regions of the PFC such as the orbitofrontal (OFC) cortex to orchestrate behavior that is consistent with context and expected outcome. Both groups of regions have been implicated in behavioral abnormalities associated with addiction and psychiatric disorders, in particular, schizophrenia and mood disorders. Theories about the pathophysiology of these disorders, however, incorporate abnormalities in discrete PFC regions independently of each other or assume they are one and the same and, thus, bunch them under umbrella of 'PFC dysfunction.' Emerging data from animal studies suggest that mPFC and OFC neurons display opposing patterns of plasticity during associative learning and in response to repeated exposure to psychostimulants. These data corroborate clinical studies reporting different patterns of activation in OFC versus dlPFC in individuals with schizophrenia or addictive disorders. These suggest that concomitant but divergent engagement of discrete PFC regions is critical for learning stimulus-outcome associations, and the execution of goal-directed behavior that is based on these associations. An atypical interplay between these regions may lead to abnormally high or low salience assigned to stimuli, resulting in symptoms that are fundamental to many psychiatric and addictive disorders, including attentional deficits, improper affective response to stimuli, and inflexible or impulsive behavior.

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Comparative characteristics of unit activity in the prefrontal and parietal areas during delayed performance in monkeys

Cited by 40 publications

References 26 publications

Distracters Impair and Create Working Memory-Related Neuronal Activity in the Prefrontal Cortex

Distracters Impair and Create Working Memory-Related Neuronal Activity in the Prefrontal Cortex

Linkage Analyses of Event-Related Potential Slow Wave Phenotypes Recorded in a Working Memory Task

Divergent Plasticity of Prefrontal Cortex Networks

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