Drifts in Prefrontal and Parietal Neuronal Activity Influence Working Memory Judgments

Li, Sihai; Constantinidis, Christos; Qi, Xue-Lian

doi:10.1093/cercor/bhab038

Cited by 12 publications

(23 citation statements)

References 68 publications

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“…Our study revealed that NMS is more prevalent among dorsolateral prefrontal than posterior parietal neurons in the MSNG task, in which activity from both areas has been shown to influence spatial working memory behavior ( Li et al, 2021 ). NMS was greater in the PFC, even after controlling for the higher overall selectivity for stimulus variables that was present in our prefrontal sample.…”

Section: Discussionmentioning

confidence: 77%

“…The mixed selectivity of a specific neuron could be defined in different ways, depending on what task variables were under examination. Both PFC and PPC show location selectivity in a spatial working memory task, during the stimuli presentation and the delay period ( Li et al, 2021 ). We thus considered whether such selectivity may constitute another form of NMS, and we wanted to know how many cells maintained spatial selectivity in different task epochs.…”

Section: Resultsmentioning

confidence: 99%

“…The PFC is only part of a broader network activated during cognitive functions such as working memory ( Constantinidis and Procyk, 2004 ). The posterior parietal cortex (PPC), in particular, has long been known to be active in many of the same tasks, including working memory ( Gnadt and Andersen, 1988 ; Constantinidis and Steinmetz, 1996 ; Chafee and Goldman-Rakic, 1998 ; Li et al, 2021 ). This is not to say, however, that response patterns in the two areas are identical.…”

Section: Introductionmentioning

confidence: 99%

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More Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal than Posterior Parietal Cortex

Dang

et al. 2022

eNeuro

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Neurons in the dorsolateral prefrontal cortex (dlPFC) and posterior parietal cortex (PPC) are activated by different cognitive tasks and respond differently to the same stimuli depending on task. The conjunctive representations of multiple tasks in nonlinear fashion in single neuron activity, is known as nonlinear mixed selectivity (NMS). Here, we compared NMS in a working memory task in areas 8a and 46 of the dlPFC and 7a and lateral intraparietal cortex (LIP) of the PPC in macaque monkeys. NMS neurons were more frequent in dlPFC than in PPC and this was attributed to more cells gaining selectivity in the course of a trial. Additionally, in our task, the subjects’ behavioral performance improved within a behavioral session as they learned the session-specific statistics of the task. The magnitude of NMS in the dlPFC also increased as a function of time within a single session. On the other hand, we observed minimal rotation of population responses and no appreciable differences in NMS between correct and error trials in either area. Our results provide direct evidence demonstrating a specialization in NMS between dlPFC and PPC and reveal mechanisms of neural selectivity in areas recruited in working memory tasks.

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Section: Discussionmentioning

confidence: 77%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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More Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal than Posterior Parietal Cortex

Dang

et al. 2022

eNeuro

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“…Most researchers assumed the existence of an asymmetric relationship between WM and decision-making, that is, impaired IGT performance does not obligatory rely on WM, but impaired WM leads to poor IGT performance (Bagneux et al, 2013). This was also supported by the effects of dorsolateral prefrontal cortex lesions, a human brain region critically involved in WM (Li et al, 2021;Petrides, 2000, Funahashi, 2006Goldman-Rakic, 1996;Fuster and Alexander, 1971), and imaging studies (Ernst et al, 2002;Li et al, 2010). It suggests the existence of distinct decision mechanisms within the prefrontal cortex as well as executive functioning (Bechara and Martin, 2004).…”

Section: Discussion (Inter and Intra Strains)mentioning

confidence: 99%

Poor decision-makers: motivation, working memory performance, and repartition across two inbred strains of rats

Fitoussi

2022

Preprint

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A minority of healthy individuals exhibit a combination of behavioral traits reminiscent, at least in part, of addiction and predicting poor decision-making (DM), namely motor impulsivity, inflexibility, risk-taking, and higher motivation in Wistar Han rats. Two behavioral features, motivation and working memory, play a role in DM capacities although the precise relationship is not entirely known. Additionally, we previously reported that neurotransmitters e.g., dopamine - modulation was tightly linked to poor DM. The goal of the study was to investigate the detailed motivational functions involved in poor DM including saccharin intake and reward-seeking/incentive behaviors under different internal states i.e., ad libitum or food-deprived. Maze-based spatial working memory was also evaluated. Moreover, two rat inbred strains, Lewis and Fisher 344 (F344) rats, known for modeling vulnerability to drug addiction and affected by substantial variations in the mesolimbic dopaminergic route, were run in the decision-making task (Rat Gambling Task, RGT). We found that Wistar Han poor decision-makers (NPERF) display higher saccharin intake levels and a drastic increased reward-seeking behavior on a fixed schedule. NPERF were not more sensitive to the internal state in responding to saccharin delivery in fixed and progressive schedules. A few relationships were found within motivation functions, and with DM, that is a positive correlation between saccharin intake and reward-seeking behavior, and two negative correlations between saccharin intake; reward-seeking, and DM. NPERF were significantly not impaired in working memory. Lewis and F344 rats performed fewer nose-pokes visits during the RGT compared to Wistar Han rats, and improved performance early in the task. A higher proportion of NPERF was observed in Lewis as compared to F344 rats. Altogether, these findings complete the preclinical panel of behavioral functions that relate to poor decision-making and extend a presumed role of dopamine in such processes.

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“…To successfully perform the task, monkeys had to continuously update an internal estimate of the relative target location (the latent state) by integrating their own movement velocity inferred from the sparse optic flow cues. Brain regions in the posterior parietal cortex (PPC) have been implicated in various aspects of this computation such as optic flow processing 17 , 18 , working memory 19 – 21 , as well as planning of spatial movements 22 , 23 . Because we are primarily interested in understanding the mechanisms of latent state computation rather than optic flow processing per se, we wanted to record neural activity in a region within PPC that likely already receives abstract velocity signals, such that it may serve as the locus of latent state computation in our task.…”

Section: Introductionmentioning

confidence: 99%

Dynamical latent state computation in the male macaque posterior parietal cortex

et al. 2023

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Success in many real-world tasks depends on our ability to dynamically track hidden states of the world. We hypothesized that neural populations estimate these states by processing sensory history through recurrent interactions which reflect the internal model of the world. To test this, we recorded brain activity in posterior parietal cortex (PPC) of monkeys navigating by optic flow to a hidden target location within a virtual environment, without explicit position cues. In addition to sequential neural dynamics and strong interneuronal interactions, we found that the hidden state - monkey’s displacement from the goal - was encoded in single neurons, and could be dynamically decoded from population activity. The decoded estimates predicted navigation performance on individual trials. Task manipulations that perturbed the world model induced substantial changes in neural interactions, and modified the neural representation of the hidden state, while representations of sensory and motor variables remained stable. The findings were recapitulated by a task-optimized recurrent neural network model, suggesting that task demands shape the neural interactions in PPC, leading them to embody a world model that consolidates information and tracks task-relevant hidden states.

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Drifts in Prefrontal and Parietal Neuronal Activity Influence Working Memory Judgments

Cited by 12 publications

References 68 publications

More Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal than Posterior Parietal Cortex

More Prominent Nonlinear Mixed Selectivity in the Dorsolateral Prefrontal than Posterior Parietal Cortex

Poor decision-makers: motivation, working memory performance, and repartition across two inbred strains of rats

Dynamical latent state computation in the male macaque posterior parietal cortex

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