Plasticity after cognitive training reflected in prefrontal local field potentials

Singh, Balbir Singh Mahinder; Wang, Zhengyang; Qi, Xue-Lian; Constantinidis, Christos

doi:10.1016/j.isci.2022.104929

Cited by 7 publications

(10 citation statements)

References 49 publications

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“…Beta oscillations are readily detectible in other extracellular field recordings (such as EEG or MEG) and are also a reliable marker of underlying cognitive processes impacting neural circuit interactions, just as gamma oscillations are (Uhlhaas and Singer, 2011; Roux and Uhlhaas, 2014), including working memory and top-down control (Siegel et al, 2012; Helfrich and Knight, 2016). Consistent with the aforementioned animal studies (Singh et al, 2022; Singh et al, 2023), in our study, decrement of beta oscillations was detected during the task execution, and differed systematically between areas, at least around the time of stimulus presentations and early in the delay period of the task.…”

Section: Discussionsupporting

confidence: 92%

“…During presentation of stimuli, correlated bottom-up inputs can serve to synchronize population neuronal spiking, and phases of synchronized excitation by pyramidal neurons followed by inhibition by interneurons can thus produce rhythmicity specifically in the gamma frequency range (Fries, 2009). Less precisely-timed or correlated inputs may fail to generate gamma oscillations, and indeed recent animal studies have suggested more prominent changes in the beta rather than gamma frequency range after learning to perform working memory tasks (Singh et al, 2022; Singh et al, 2023). Similarly, a recent human study of activation patterns in auditory working memory with intracranial recordings demonstrated that frontal and temporal regions with high decoding accuracy were not accompanied by significant increases in gamma power (Uluç et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

“…Neurophysiological experiments in non-human primates have identified neuronal activation of the prefrontal cortex as central for the maintenance of working memory (Riley and Constantinidis, 2016). Persistent activity generated by the spiking of prefrontal neurons is also associated with distinct patterns of spectral power, identifiable in local field potential recordings (Singh et al, 2022; Singh et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

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Brain-wide human oscillatory LFP activity during visual working memory

Singh,

Wang,

Madiah

et al. 2023

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Oscillatory activity is thought to be a marker of cognitive processes, although its role and distribution across the brain during working memory has been a matter of debate. To understand how oscillatory activity differentiates tasks and brain areas in humans, we recorded local field potentials (LFPs) in 12 adults as they performed visual-spatial and shape-matching memory tasks. Tasks were designed to engage working memory processes at a range of delay intervals between stimulus delivery and response initiation. LFPs were recorded using intracranial depth electrodes implanted to localize seizures for management of intractable epilepsy. Task-related LFP power analyses revealed an extensive network of cortical regions that were activated during the presentation of visual stimuli and during their maintenance in working memory, including occipital, parietal, temporal, insular, and prefrontal cortical areas, and subcortical structures including the amygdala and hippocampus. Across most brain areas, the appearance of a stimulus produced broadband power increase, while gamma power was evident during the delay interval of the working memory task. Notable differences between areas included that occipital cortex was characterized by elevated power in the high gamma (100-150 Hz) range during the 500 ms of visual stimulus presentation, which was less pronounced or absent in other areas. A decrease in power centered in beta frequency (16-40 Hz) was also observed after the stimulus presentation, whose magnitude differed across areas. These results reveal the interplay of oscillatory activity across a broad network, and region-specific signatures of oscillatory processes associated with visual working memory.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Brain-wide human oscillatory LFP activity during visual working memory

Singh,

Wang,

Madiah

et al. 2023

Preprint

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“…We then constructed a 3-way ANOVA model, with factors selective-partially-selective-nonselective sites; prefrontal subdivision; and task epoch. In every case, this analysis was performed for the gamma frequency band, de ned as 45-100 Hz; effects of training on other LFP properties have been reported elsewhere 12,13 . The animals were required to maintain center xation throughout both active and passive task trials.…”

Section: Discussionmentioning

confidence: 99%

“…An implicit assumption of these theories is that gamma band rhythmicity emerges as a result of active maintenance of working memory. However, recent studies suggest that robust gamma band power, in the 45-100 Hz range, during and after a stimulus presentation compared to the baseline, may be generated absent execution of a cognitive task, in subjects naïve to training, while subsequent training in fact decreases its magnitude 12,13 . This result is puzzling considering that activity of individual neurons is known to be affected by learning to perform such tasks in that a greater number of neurons are activated by stimuli after training 14,15 , their ring rate generally increases 16 , and so does their selectivity for stimuli 17 .…”

Section: Introductionmentioning

confidence: 99%

Neuronal selectivity for stimulus information determines prefrontal LFP gamma power regardless of task execution

Singh

Wang

Constantinidis

2023

Preprint

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Local field potential (LFP) power in gamma frequency has been thought to be modulated by cognitive variables during task execution. We sought to understand how the properties of neurons and LFPs from same sites representing information before and after training in cognitive tasks. We therefore trained monkeys to perform working memory tasks and analyzed the neurons and LFPs in different prefrontal subdivisions. In agreement with previous studies, we found that sites containing neurons selective for stimuli held in memory exhibit increased gamma power during and after the presentation of stimuli compared to the baseline period. Unexpectedly, we also found that the elevation of gamma power above the baseline was diminished after training, compared to power observed prior to training in the same monkeys; despite an overall in firing rate observed after training. Learning to perform the task did alter some properties of LFP gamma power, it decreased at the time that subjects needed to make a judgment about whether two stimuli were same or not, and differential gamma power was observed for matching and nonmatching stimuli. Our results indicate that gamma power elevation in the prefrontal cortex represents automatic stimulus processing, not necessarily tied to a cognitive task being executed.

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Using Nonhuman Primate Models to Reverse-Engineer Prefrontal Circuit Failure Underlying Cognitive Deficits in Schizophrenia

Chafee

2022

Current Topics in Behavioral Neurosciences

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Plasticity after cognitive training reflected in prefrontal local field potentials

Cited by 7 publications

References 49 publications

Brain-wide human oscillatory LFP activity during visual working memory

Brain-wide human oscillatory LFP activity during visual working memory

Neuronal selectivity for stimulus information determines prefrontal LFP gamma power regardless of task execution

Using Nonhuman Primate Models to Reverse-Engineer Prefrontal Circuit Failure Underlying Cognitive Deficits in Schizophrenia

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