Oscillatory Synchrony in the Monkey Temporal Lobe Correlates with Performance in a Visual Short-term Memory Task

Tallon‐Baudry, Catherine; Mandon, Sunita; Freiwald, Winrich A.; Kreiter, Andreas K.

doi:10.1093/cercor/bhh031

Cited by 163 publications

(96 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The resulting spectral change of the LFP was evident as a decrease in the baseline-normalized beta power and an increase in gamma band power. This effect of visual stimulation causing a shift from high-amplitude, low-frequency activity toward lowamplitude, high-frequency activity has been observed in a large number of studies on visual cortical responses (Gray and Singer, 1989;Taylor et al, 2005;Ray and Maunsell, 2011).…”

Section: Resultsmentioning

confidence: 61%

Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex

et al. 2014

View full text Add to dashboard Cite

The local field potential (LFP) in visual cortex is typically characterized by the following spectral pattern: before the onset of a visual stimulus, low-frequencyoscillations(beta,12-20Hz)dominate,whereasduringthepresentationofastimulustheseoscillationsdiminishandarereplaced by fluctuations at higher frequencies (gamma, Ͼ30 Hz). The origin of beta oscillations in vivo remains unclear, as is the basis of their suppression during visual stimulation. Here we investigate the contribution of ascending input from primary visual cortex (V1) to beta oscillation dynamics in extrastriate visual area V4 of behaving monkeys. We recorded LFP activity in V4 before and after resecting a portion of V1. After the surgery, the visually induced gamma LFP activity in the lesion projection zone of V4 was markedly reduced, consistent with previously reported spiking responses (Schmid et al., 2013). In the beta LFP range, the lesion had minimal effect on the normal pattern of spontaneous oscillations. However, the lesion led to a surprising and permanent reversal of the normal beta suppression during visual stimulation, with visual stimuli eliciting beta magnitude increases up to 50%, particularly in response to moving stimuli. This reversed beta activity pattern was specific to stimulus locations affected by the V1 lesion. Our results shed light on the mechanisms of beta activity in extrastriate visual cortex: The preserved spontaneous oscillations point to a generation mechanism independent of the geniculostriate pathway, whereas the positive beta responses support the contribution of visual information to V4 via direct thalamo-extrastriate projections.

show abstract

Section: Resultsmentioning

confidence: 61%

Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex

et al. 2014

View full text Add to dashboard Cite

show abstract

“…In ref. 21, this suggestion was shown to be the case for simple auditory tone sequences, and reports showing strong beta1 generation in short-term memory tasks used novel stimuli for each trial (28).…”

Section: Discussionmentioning

confidence: 86%

“…The dynamic signature associated with retention of past stimuli in such sequences appears to involve predominantly the beta1 rhythm. Visual short-term memory tasks reveal strong beta1 activity during retention (28,29), which also correlates with accompanying BOLD responses (30). In addition, working memory impairment is associated with a decrease in phase and coherence measures within the beta1 frequency band (31).…”

Section: Discussionmentioning

confidence: 89%

Neuronal assembly dynamics in the beta1 frequency range permits short-term memory

Kopell

Whittington

Kramer

2011

Proc. Natl. Acad. Sci. U.S.A.

153

167

View full text Add to dashboard Cite

Cell assemblies have long been thought to be associated with brain rhythms, notably the gamma rhythm. Here, we use a computational model to show that the beta1 frequency band, as found in rat association cortex, has properties complementary to the gamma band for the creation and manipulation of cell assemblies. We focus on the ability of the beta1 rhythm to respond differently to familiar and novel stimuli, and to provide a framework for combining the two. Simulations predict that assemblies of superficial layer pyramidal cells can be maintained in the absence of continuing input or synaptic plasticity. Instead, the formation of these assemblies relies on the nesting of activity within a beta1 rhythm. In addition, cells receiving further input after assembly formation produce coexistent spiking activity, unlike the competitive spiking activity characteristic of assembly formation with gamma rhythms.postinhibitory rebound | synchrony I t has been highly documented that rhythms of the central nervous system are associated with cognition (1). However, the ways in which brain rhythms are important to cognitive function are not well understood. One suggested function for rhythms has been the creation of cell assemblies (collections of neurons that are transiently synchronous). The rhythm most associated with the formation of such cell assemblies is the gamma frequency band (30-90 Hz) (2-4). Other rhythms, however, may play an important role in the formation or transformation of cell assemblies. Here, we build on experimental and modeling work concerning the beta1 frequency band (≈15 Hz), as found in rat association cortex (5, 6), to show that this version of the beta1 rhythm has special physiological properties appropriate to manipulation of cell assemblies. We are especially interested here in how networks producing this rhythm respond to familiar and novel stimuli and how the underlying physiology provides a context for combining the two. A key feature of the model given below is that the spiking during beta1 depends on rebound from inhibition, allowing activity to be maintained in the absence of continuing input. The "memory"-provided by the ability to have ongoing activity-is independent of synaptic plasticity. The model also shows that the nesting of gamma activity inside the beta1 oscillation produces different interactions of cell assemblies than in the absence of the beta1 rhythm: There is much less of the competition characteristic of cell assemblies produced within the gamma rhythm (7).To appreciate the novel features of cell assemblies formed within the beta1 rhythm, it is necessary to understand some central features of the gamma rhythm and its assembly-forming properties. The type of gamma rhythm associated with cell assemblies is known as the pyramidal interneuron network gamma (or PING) rhythm (4). This kind of gamma is produced mainly by pyramidal cells and fast-spiking interneurons (7-11). In this rhythm, activated pyramidal cells excite fast-spiking perisomatictargeting interneurons (FS cells) that,...

show abstract

“…Previous work using a visual attention paradigm in humans (38) and a delayed matching-tosample task in monkeys (39) has suggested that both ␤-band power and ␤-band phase synchronization can be used to predict accuracy of response to stimuli in target discrimination tasks. However, in the present study, we found that neither spectral power nor mutual information between pairs of sensors in the ␤-band significantly predicted performance accuracy (see Figs.…”

Section: Cost Efficiency In Schizophreniamentioning

confidence: 99%

Cognitive fitness of cost-efficient brain functional networks

Bassett

Bullmore

Meyer‐Lindenberg

et al. 2009

Proc. Natl. Acad. Sci. U.S.A.

394

321

View full text Add to dashboard Cite

The human brain's capacity for cognitive function is thought to depend on coordinated activity in sparsely connected, complex networks organized over many scales of space and time. Recent work has demonstrated that human brain networks constructed from neuroimaging data have economical small-world properties that confer high efficiency of information processing at relatively low connection cost. However, it has been unclear how the architecture of complex brain networks functioning at different frequencies can be related to behavioral performance on cognitive tasks. Here, we show that impaired accuracy of working memory could be related to suboptimal cost efficiency of brain functional networks operating in the classical ␤ frequency band, 15-30 Hz. We analyzed brain functional networks derived from magnetoencephalography data recorded during working-memory task performance in 29 healthy volunteers and 28 people with schizophrenia. Networks functioning at higher frequencies had greater global cost efficiency than low-frequency networks in both groups. Superior task performance was positively correlated with global cost efficiency of the ␤-band network and specifically with cost efficiency of nodes in left lateral parietal and frontal areas. These results are consistent with biophysical models highlighting the importance of ␤-band oscillations for long-distance functional connections in brain networks and with pathophysiological models of schizophrenia as a dysconnection syndrome. More generally, they echo the saying that ''less is more'': The information processing performance of a network can be enhanced by a sparse or low-cost configuration with disproportionately high efficiency.efficiency ͉ graph theory ͉ schizophrenia ͉ working memory ͉ magnetoencephalography T he brain is a complex system at many scales of space and time.At the largest spatial scale of whole-brain organization, primate brain anatomical and functional networks are sparsely connected (1), presumably to conserve axonal wiring costs of linking 2 remote cortical or subcortical regions. However, networks derived from brain imaging data are also topologically configured to deliver high global and local efficiency of parallel information transfer (2, 3); this can be equivalently described in terms of short path length and high clustering of brain networks compared with random graphs (4-7). Such ''economical smallworld'' properties-combining high efficiency with low connection cost-have been described for other biological and infrastructural systems (8) and may represent the outcome of evolutionary selection for both low cost and high efficiency of connections between network nodes (9-11).On the hypothesis that brain network organization has evolved by optimizing competitive selection criteria of cost and efficiency, we predicted that individual differences in cognitive performance should be related to variability in cost efficiency of human brain functional networks (12, 13). More specifically, based on several studies linking N-back working memory...

show abstract

Oscillatory Synchrony in the Monkey Temporal Lobe Correlates with Performance in a Visual Short-term Memory Task

Cited by 163 publications

References 54 publications

Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex

Beta Oscillation Dynamics in Extrastriate Cortex after Removal of Primary Visual Cortex

Neuronal assembly dynamics in the beta1 frequency range permits short-term memory

Cognitive fitness of cost-efficient brain functional networks

Contact Info

Product

Resources

About