Theta Dynamics in Rat: Speed and Acceleration across the Septotemporal Axis

Long, Lauren L.; Hinman, James R.; Chen, Chi Ming; Escabı́, Monty A.; Chrobak, James J.

doi:10.1371/journal.pone.0097987

Cited by 30 publications

(45 citation statements)

References 72 publications

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“…Amongst significantly theta rhythmic cells, the depth of theta modulation varied as a function of running speed in nearly half of the cells (109 out of 235 theta rhythmic cells; Fig S2A) indicating that these cells become more theta rhythmic at higher running speeds. This parallels previous reports that the amplitude of LFP theta oscillations increase in amplitude with running speed at sites within the hippocampal formation (Hinman et al, 2011; Long et al, 2014). A majority of theta rhythmic cells also had oscillatory frequencies that significantly varied as a function of running speed (139 out of 244 theta rhythmic cells; Fig 3F), with a majority of each cell type following the same pattern (grid: 20/40; conjunctive: 13/18; HD: 50/90; uncharacterized: 26/47; interneuron: 26/30; Fig 3F).…”

Section: Resultssupporting

confidence: 91%

Multiple Running Speed Signals in Medial Entorhinal Cortex

Hinman

Brandon

Climer

et al. 2016

Neuron

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154

230

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Grid cells in medial entorhinal cortex (MEC) can be modeled using oscillatory interference or attractor dynamic mechanisms that perform path integration, a computation requiring information about running direction and speed. The two classes of computational models often use either an oscillatory frequency or a firing rate that increases as a function of running speed. Yet it is currently not known whether these are two manifestations of the same speed signal or dissociable signals with potentially different anatomical substrates. We examined coding of running speed in MEC and identified these two speed signals to be independent of each other within individual neurons. The medial septum (MS) is strongly linked to locomotor behavior and removal of MS input resulted in strengthening of the firing rate speed signal, while decreasing the strength of the oscillatory speed signal. Thus two speed signals are present in MEC that are differentially affected by disrupted MS input.

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Section: Resultssupporting

confidence: 91%

Multiple Running Speed Signals in Medial Entorhinal Cortex

Hinman

Brandon

Climer

et al. 2016

Neuron

Self Cite

154

230

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show abstract

“…Running speed typically comodulates theta power and frequency in rodents (Hinman et al, ) but it is unclear whether this relationship persists in a severely sclerotic hippocampus. Theta–speed modulation is most pronounced in the septal DG (Hinman et al, ; Long, Hinman, Chen, Escabi, & Chrobak, ), however, this is also the site of strongest neuronal loss and GCD (Figure b). We therefore expected to see the largest effects on theta–speed modulation at this position and consequently analyzed theta activity associated with running in the septal DG (Si‐probe implanted mice).…”

Section: Resultsmentioning

confidence: 98%

“…In healthy mice theta activity is strongly associated with running and exploratory behavior (Buzs aki et al, 2003). Theta oscillations were prominent during spontaneous running also in epileptic animals ( (Hinman et al, 2011;Long, Hinman, Chen, Escabi, & Chrobak, 2014), however, this is also the site of strongest neuronal loss and GCD (Figure 2b). We therefore expected to see the largest effects on theta-speed modulation at this position and consequently analyzed theta activity associated with running in the septal DG (Si-probe implanted mice).…”

Section: Theta Frequency Is Modulated By Running Speed In Regions Wmentioning

confidence: 96%

Theta frequency decreases throughout the hippocampal formation in a focal epilepsy model

et al. 2018

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Mesial temporal lobe epilepsy is characterized by focal, recurrent spontaneous seizures, sclerosis and granule cell dispersion (GCD) in the hippocampal formation. Changes in theta rhythm properties have been correlated with the severity of hippocampal restructuring and were suggested as a cause of memory deficits accompanying epilepsy. For severe sclerosis, it has even been questioned whether theta band oscillations persist. We asked how theta oscillations change with graded restructuring along the longitudinal hippocampal axis and whether these changes correlate with the overall severity of temporal lobe epilepsy. We recorded local field potentials in the medial entorhinal cortex and along the septo-temporal axis of the dentate gyrus at sites with different degrees of GCD in freely behaving epileptic mice. Theta frequency was decreased at all recording positions throughout the dentate gyrus and in the medial entorhinal cortex, irrespective of the extent of GCD or the rate of severe epileptic events. The frequency reduction by up to 1.7 Hz, corresponding to 1/3 octaves within the theta range, was present during rest, exploration and running. Despite the frequency reduction, theta oscillations remained coherent across the hippocampal formation and were modulated by running speed as in controls. The reduction in theta frequency thus is likely not a consequence of the local restructuring but rather a global phenomenon affecting the hippocampal formation as a whole.

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“…For example, in the mouse hippocampus, 75% of place cells (neurons which encode specific locations in the animal's environment) show a significant decrease in firing when the mouse is prevented from moving (Chen et al, 2013). Further, in rats, changes in theta power associated with ambulation (McFarland et al, 1975; Long et al, 2014) are also modulated by the anticipation and initiation of goal-directed instrumental behavior (Wyble et al, 2004; Sinnamon, 2006). In monkeys, the hippocampus is essential for a task where the animal must walk to a to-be-remembered location (Hampton et al, 2004), but it is not needed when the same type of memory task is performed while the animal is seated (Malkova and Mishkin, 2003).…”

Section: Brain States Differ During Movementmentioning

confidence: 99%

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

Ladouce

Donaldson

Dudchenko

et al. 2017

Front. Hum. Neurosci.

142

156

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There is a growing body of evidence that important aspects of human cognition have been marginalized, or overlooked, by traditional cognitive science. In particular, the use of laboratory-based experiments in which stimuli are artificial, and response options are fixed, inevitably results in findings that are less ecologically valid in relation to real-world behavior. In the present review we highlight the opportunities provided by a range of new mobile technologies that allow traditionally lab-bound measurements to now be collected during natural interactions with the world. We begin by outlining the theoretical support that mobile approaches receive from the development of embodied accounts of cognition, and we review the widening evidence that illustrates the importance of examining cognitive processes in their context. As we acknowledge, in practice, the development of mobile approaches brings with it fresh challenges, and will undoubtedly require innovation in paradigm design and analysis. If successful, however, the mobile cognition approach will offer novel insights in a range of areas, including understanding the cognitive processes underlying navigation through space and the role of attention during natural behavior. We argue that the development of real-world mobile cognition offers both increased ecological validity, and the opportunity to examine the interactions between perception, cognition and action—rather than examining each in isolation.

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Theta Dynamics in Rat: Speed and Acceleration across the Septotemporal Axis

Cited by 30 publications

References 72 publications

Multiple Running Speed Signals in Medial Entorhinal Cortex

Multiple Running Speed Signals in Medial Entorhinal Cortex

Theta frequency decreases throughout the hippocampal formation in a focal epilepsy model

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

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