Literature DB >> 26286916

Stimulus Load and Oscillatory Activity in Higher Cortex.

Simon Kornblith1, Timothy J Buschman2, Earl K Miller1.   

Abstract

Exploring and exploiting a rich visual environment requires perceiving, attending, and remembering multiple objects simultaneously. Recent studies have suggested that this mental "juggling" of multiple objects may depend on oscillatory neural dynamics. We recorded local field potentials from the lateral intraparietal area, frontal eye fields, and lateral prefrontal cortex while monkeys maintained variable numbers of visual stimuli in working memory. Behavior suggested independent processing of stimuli in each hemifield. During stimulus presentation, higher-frequency power (50-100 Hz) increased with the number of stimuli (load) in the contralateral hemifield, whereas lower-frequency power (8-50 Hz) decreased with the total number of stimuli in both hemifields. During the memory delay, lower-frequency power increased with contralateral load. Load effects on higher frequencies during stimulus encoding and lower frequencies during the memory delay were stronger when neural activity also signaled the location of the stimuli. Like power, higher-frequency synchrony increased with load, but beta synchrony (16-30 Hz) showed the opposite effect, increasing when power decreased (stimulus presentation) and decreasing when power increased (memory delay). Our results suggest roles for lower-frequency oscillations in top-down processing and higher-frequency oscillations in bottom-up processing.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Keywords:  frontal eye fields; lateral intraparietal area; power; prefrontal cortex; synchrony; working memory

Mesh:

Year:  2015        PMID: 26286916      PMCID: PMC5004752          DOI: 10.1093/cercor/bhv182

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  51 in total

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3.  D1 dopamine receptors in prefrontal cortex: involvement in working memory.

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4.  Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention.

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5.  Neural measures reveal individual differences in controlling access to working memory.

Authors:  Edward K Vogel; Andrew W McCollough; Maro G Machizawa
Journal:  Nature       Date:  2005-11-24       Impact factor: 49.962

6.  Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network model.

Authors:  Mikael Lundqvist; Pawel Herman; Anders Lansner
Journal:  J Cogn Neurosci       Date:  2011-03-31       Impact factor: 3.225

7.  Different neuronal computations of spatial working memory for multiple locations within versus across visual hemifields.

Authors:  Ayano Matsushima; Masaki Tanaka
Journal:  J Neurosci       Date:  2014-04-16       Impact factor: 6.167

8.  Contralateral delay activity provides a neural measure of the number of representations in visual working memory.

Authors:  Akiko Ikkai; Andrew W McCollough; Edward K Vogel
Journal:  J Neurophysiol       Date:  2010-02-10       Impact factor: 2.714

9.  Dynamic shifts of limited working memory resources in human vision.

Authors:  Paul M Bays; Masud Husain
Journal:  Science       Date:  2008-08-08       Impact factor: 47.728

10.  Content-specific fronto-parietal synchronization during visual working memory.

Authors:  R F Salazar; N M Dotson; S L Bressler; C M Gray
Journal:  Science       Date:  2012-11-01       Impact factor: 47.728

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  25 in total

1.  Dissociation of LFP Power and Tuning in the Frontal Cortex during Memory.

Authors:  Charles D Holmes; Charalampos Papadimitriou; Lawrence H Snyder
Journal:  J Neurosci       Date:  2018-08-09       Impact factor: 6.167

2.  Restoring Latent Visual Working Memory Representations in Human Cortex.

Authors:  Thomas C Sprague; Edward F Ester; John T Serences
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3.  Cholecystokinin-Expressing Interneurons of the Medial Prefrontal Cortex Mediate Working Memory Retrieval.

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4.  Working Memory Load-related Theta Power Decreases in Dorsolateral Prefrontal Cortex Predict Individual Differences in Performance.

Authors:  Aneta Brzezicka; Jan Kamiński; Chrystal M Reed; Jeffrey M Chung; Adam N Mamelak; Ueli Rutishauser
Journal:  J Cogn Neurosci       Date:  2019-04-30       Impact factor: 3.225

5.  Memory Load Alters Perception-Related Neural Oscillations during Multisensory Integration.

Authors:  Georgios Michail; Daniel Senkowski; Michael Niedeggen; Julian Keil
Journal:  J Neurosci       Date:  2020-12-11       Impact factor: 6.167

6.  Causal Evidence for the Role of Neuronal Oscillations in Top-Down and Bottom-Up Attention.

Authors:  Justin Riddle; Kai Hwang; Dillan Cellier; Sofia Dhanani; Mark D'Esposito
Journal:  J Cogn Neurosci       Date:  2019-02-06       Impact factor: 3.225

Review 7.  Working Memory 2.0.

Authors:  Earl K Miller; Mikael Lundqvist; André M Bastos
Journal:  Neuron       Date:  2018-10-24       Impact factor: 17.173

8.  Gamma and Beta Bursts Underlie Working Memory.

Authors:  Mikael Lundqvist; Jonas Rose; Pawel Herman; Scott L Brincat; Timothy J Buschman; Earl K Miller
Journal:  Neuron       Date:  2016-03-17       Impact factor: 17.173

Review 9.  Rhythms for Cognition: Communication through Coherence.

Authors:  Pascal Fries
Journal:  Neuron       Date:  2015-10-07       Impact factor: 17.173

10.  A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning.

Authors:  Roman F Loonis; Scott L Brincat; Evan G Antzoulatos; Earl K Miller
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