Phase relations of rhythmic neuronal firing in the supramammillary nucleus and mammillary body to the hippocampal theta activity in urethane anesthetized rats

Kocsis, Bernát; Vertes, Robert P.

doi:10.1002/(sici)1098-1063(1997)7:2<204::aid-hipo7>3.0.co;2-m

Cited by 72 publications

(57 citation statements)

References 64 publications

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“…24,25 Another possibility is that hippocampal cell death and dysfunction 26,27 underlies the decrease in theta activity, compromising ability of the hippocampal circuitry to receive or maintain oscillatory activity. It is also possible that damage to other brain regions that interact with the hippocampus and are known to demonstrate theta band oscillations, such as the thalamus, 28 supramamillary/mammillary bodies, 29 and/or cingulate cortex, 30 may play a role in attenuating theta. Whereas previous research demonstrates that TBI results in hippocampal cell loss, 26,27,31,32 the reduction in theta activity may also be caused by other physiological perturbations, such as a reduction in neurotransmitter levels 33,34 or receptor expression, integrity of axonal connections, or robustness of hippocampal circuitry.…”

Section: Hippocampal Theta Activity Is Reduced Acutely After Lateral supporting

confidence: 50%

Medial Septal Nucleus Theta Frequency Deep Brain Stimulation Improves Spatial Working Memory after Traumatic Brain Injury

Lee

Gurkoff

Izadi

et al. 2013

Journal of Neurotrauma

107

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More than 5,000,000 survivors of traumatic brain injury (TBI) live with persistent cognitive deficits, some of which likely derive from hippocampal dysfunction. Oscillatory activity in the hippocampus is critical for normal learning and memory functions, and can be modulated using deep brain stimulation techniques. In this pre-clinical study, we demonstrate that lateral fluid percussion TBI results in the attenuation of hippocampal theta oscillations in the first 6 days after injury, which correlate with deficits in the Barnes maze spatial working memory task. Theta band stimulation of the medial septal nucleus (MSN) results in a transient increase in hippocampal theta activity, and when delivered 1 min prior to training in the Barnes maze, it significantly improves spatial working memory. These results suggest that MSN theta stimulation may be an effective neuromodulatory technique for treatment of persistent learning and memory deficits after TBI.

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Section: Hippocampal Theta Activity Is Reduced Acutely After Lateral supporting

confidence: 50%

Medial Septal Nucleus Theta Frequency Deep Brain Stimulation Improves Spatial Working Memory after Traumatic Brain Injury

Lee

Gurkoff

Izadi

et al. 2013

Journal of Neurotrauma

107

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“…Interestingly, cells in the supramammillary nucleus have also been found to re a theta frequency. Like the cells in the septum, the individual neurons have different preferred phases with respect to the hippocampal theta rhythm (Kocsis & Vertes, 1997). This suggests that the supramammillary nucleus and structures to which it projects could be involved in reading the hippocampal phase code.…”

Section: Discussionmentioning

confidence: 99%

Information Transfer Between Rhythmically Coupled Networks: Reading the Hippocampal Phase Code

Jensen¹

2001

Neural Computation

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There are numerous reports on rhythmic coupling between separate brain networks. It has been proposed that this rhythmic coupling indicates exchange of information. So far, few computational models have been proposed that explore this principle and its potential computational benefits. Recent results on hippocampal place cells of the rat provide new insight; it has been shown that information about space is encoded by the firing of place cells with respect to the phase of the ongoing theta rhythm. This principle is termed phase coding and suggests that upcoming locations (predicted by the hippocampus) are encoded by cells firing late in the theta cycle, whereas current location is encoded by early firing in the theta cycle. A network reading the hippocampal output must inevitably also receive an oscillatory theta input in order to decipher the phase-coded firing patterns. In this article, I propose a simple physiologically plausible mechanism implemented as an oscillatory network that can decode the hippocampal output. By changing only the phase of the theta input to the decoder, qualitatively different information is transferred: the theta phase determines whether representations of current or upcoming locations are read by the decoder. The proposed mechanism provides a computational principle for information transfer between oscillatory networks and might generalize to brain networks beyond the hippocampal region.

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“…The phase of coherence represents the time lag between the signals and thus has been used as an index of directionality of the interaction (Kocsis and Vertes, 1997;Bressler and Kelso, 2001;Saalmann et al, 2007). In the present study, the directionality index of Granger causality was significantly correlated with the AI of the CCG or with the phase of coherence (Fig.…”

Section: Coherence and Granger Causalitymentioning

confidence: 96%

“…2 B, available at www.jneurosci.org as supplemental material). We also examined whether the directionality of the Granger causality is correlated with the phase of coherence, which reflects the systematic lag time between the correlated signals (Kocsis and Vertes, 1997;Schack et al, 1999;Bressler and Kelso, 2001;Weiss and Mueller, 2003;DeCoteau et al, 2007;Saalmann et al, 2007;Gregoriou et al, 2009). The directionality index of the Granger causality was also found to be significantly correlated with the phase of coherence (r ϭ 0.577; p Ͻ 0.002) (Fig.…”

Section: Gamma Granger Causality Between Spike Trains Of Single It Nementioning

confidence: 99%

Triphasic Dynamics of Stimulus-Dependent Information Flow between Single Neurons in Macaque Inferior Temporal Cortex

Hirabayashi¹,

Takeuchi²,

Tamura³

et al. 2010

J. Neurosci.

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The functional connectivity between cortical neurons is not static and is known to exhibit contextual modulations in terms of the coupling strength. Here we hypothesized that the information flow in a cortical local circuit exhibits complex forward-and-back dynamics, and conducted Granger causality analysis between the neuronal spike trains that were simultaneously recorded from macaque inferior temporal (IT) cortex while the animals performed a visual object discrimination task. Spikes from neuron pairs with a displaced peak on the cross-correlogram (CCG) showed Granger causality in the gamma-frequency range (30 -80 Hz) with the dominance in the direction consistent with the CCG peak (forward direction). Although, in a classical view, the displaced CCG peak has been interpreted as an indicative of a pauci-synaptic serial linkage, temporal dynamics of the gamma Granger causality after stimulus onset exhibited a more complex triphasic pattern,withatransientforwardcomponentfollowedbyaslowlydevelopingbackwardcomponentandsubsequentreappearanceoftheforward component. These triphasic dynamics of causality were not explained by the firing rate dynamics and were not observed for cell pairs that exhibited a center peak on the CCG. Furthermore, temporal dynamics of Granger causality depended on the feature configuration within the presented object. Together, these results demonstrate that the classical view of functional connectivity could be expanded to incorporate more complex forward-and-back dynamics and also imply that multistage processing in the recognition of visual objects might be implemented by multiphasic dynamics of directional information flow between single neurons in a local circuit in the IT cortex.

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Phase relations of rhythmic neuronal firing in the supramammillary nucleus and mammillary body to the hippocampal theta activity in urethane anesthetized rats

Cited by 72 publications

References 64 publications

Medial Septal Nucleus Theta Frequency Deep Brain Stimulation Improves Spatial Working Memory after Traumatic Brain Injury

Medial Septal Nucleus Theta Frequency Deep Brain Stimulation Improves Spatial Working Memory after Traumatic Brain Injury

Information Transfer Between Rhythmically Coupled Networks: Reading the Hippocampal Phase Code

Triphasic Dynamics of Stimulus-Dependent Information Flow between Single Neurons in Macaque Inferior Temporal Cortex

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