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Sharp waves and ripples

Sharp waves and ripples is a biology topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Sharp waves and ripples rather than just read about it. In short: Sharp waves and ripples (SPW-R), also called sharp wave ripples (SWR), are oscillatory patterns produced by extremely synchronized activity of neurons in the mammalian hippocampus and neighboring regions which occur spontaneously in idle waking states or during NREM sleep. They can be observed with a variety of electrophysiological methods such as field recordings or EEG.

Sharp waves and ripples — main illustration
Sharp waves and ripples — illustration

Key takeaways

  • Sharp waves and ripples belongs to biology; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Sharp waves and ripples to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Sharp waves and ripples from memory before moving on to harder problems.

Reference excerpt

Sharp waves and ripples (SPW-R), also called sharp wave ripples (SWR), are oscillatory patterns produced by extremely synchronized activity of neurons in the mammalian hippocampus and neighboring regions which occur spontaneously in idle waking states or during NREM sleep. They can be observed with a variety of electrophysiological methods such as field recordings or EEG. They are composed of large amplitude sharp waves in local field potential and produced by thousands of neurons firing together within a 30–100 ms window. Within this broad time window, pyramidal cells fire only at specific times set by fast spiking GABAergic interneurons. The fast rhythm of inhibition (150-200 Hz) synchronizes the firing of active pyramidal cells, each of which only fires one or two action potentials exactly between the inhibitory peaks, collectively generating the ripple pattern. SWRs have been extensively characterized by György Buzsáki and have been shown to be involved in memory consolidation in NREM sleep. Neuronal firing sequences acquired during wakefulness are replayed during SWRs.

History and background Neuronal oscillations are important components of neuroscience research. During the last two decades, hippocampal oscillations have been a major focus in the research of neuronal oscillations. Among different oscillations present in the brain, SWRs are the first population activity that start in the developing hippocampus. Originally, these large waves were observed by Cornelius Vanderwolf in 1969. John O'Keefe investigated SWRs in 1978 while studying the spatial memory of rats. György Buzsáki and his collaborators studied and characterized SWRs in further detail and described their physiological functions and role in different states of the animal. These patterns are large amplitude, aperiodic recurrent oscillations occurring in the apical dendritic layer of the CA1 regions of the hippocampus. Sharp waves are followed by synchronous fast field oscillations (140–200 Hz frequency), named ripples. Features of these oscillations provided evidences for their role in inducing synaptic plasticity and memory consolidation. Among these features are their widespread effect on the population of neurons in the hippocampus, and the experience-related activity of participating neurons. Studies have shown that elimination of SWRs by electrical stimulation interfered with the ability of rats to recall spatial memories. These features support functional role of sharp waves and ripples in memory consolidation.

Hippocampal formation

Structures

Circuit

The trisynaptic loop, as the main circuit of the hippocampus responsible for information transfer between the hippocampus and the cortex, is also the circuit producing SWRs. This circuit provides the pathway by which SWRs affect the cortical areas, and also receive inputs from them. Consequently, this loop is shown to be the pathway responsible for conversion of short-term memory to long-term memory. The trisynaptic loop of the hippocampus is one of the most thoroughly studied circuits for long-term potentiation.

Participant neuronal populations Emergence of these self-organized hippocampal events are dependent on interactions between pyramidal cells and different types of the interneurons in this circuit. Pyramidal cells of CA3 and CA1 are important in generating these waves, and they affect the subiculum, parasubiculum, entorhinal cortex, and ultimately neurons of the neocortex. During SWRs, which last approximately 100 milliseconds, 50,000–100,000 neurons discharge in synchrony, making SWRs the most synchronous event in the brain. An important concept about the neuronal populations participating in these events is the fact that they are experience-dependent. Sequences that have been active during the animal's activity are the ones participating in SWRs. Activity naturally spreads along the pathways that have stronger synapses. This is one of the features of SWRs providing evidence for their role in memory consolidation.

Network mechanisms of generation

Self-emergent network activity Population bursts of pyramidal cells in the CA3 region of the hippocampus via CA3 collaterals cause depolarization of pyramidal cells in the dendritic layer of the CA1 which give rise to extracellular negative waves – the sharp waves – followed by fast ripples. Discharge of pyramidal cells of CA3 region also activates the GABAergic interneurons. Sparse firing of CA1 pyramidal cells and in-phase inhibition from the activated interneurons, give rise to high frequency (200 Hz) network oscillations, which are the ripples. The rhythmic activity is exported to CA1 and eventually reaches the target population of parahippocampal structures.

Effects of neocortical inputs

In spite of the self-emergent nature of the SWRs, their activity could be altered by inputs from the neocortex via the trisynaptic loop to the hippocampus. Activity of the neocortex during slow wave sleep determines inputs to the hippocampus; thalamocortical sleep spindles and delta waves are the sleep patterns of the neocortex. These inputs contribute to the selection of different neuronal assemblies for initiation of SWRs, and affect the timing of the SWRs. Different thalamocortical neuronal assemblies give rise to sleep spindles, and these cell assemblies affect the burst initiator for the sharp waves. In this manner, thalamocortical inputs affect the content of the SWRs going to neocortex.

… excerpt ends here. Continue reading the full article.

Illustrations

Sharp waves and ripples: Example of a sharp wave ripple recorded in CA3, unfiltered (top) and high-pass filtered trace (middle). Time-frequency plot (bottom) shows high frequencies (150-200 Hz) in the ascending phase of the SWR.[1]
Example of a sharp wave ripple recorded in CA3, unfiltered (top) and high-pass filtered trace (middle). Time-frequency plot (bottom) shows high frequencies (150-200 Hz) in the ascending phase of the SWR.[1]
Sharp waves and ripples: Hippocampal circuit in rodent hippocampus. Connections between CA3 and CA1 regions with parahippocampal structures is shown.
Hippocampal circuit in rodent hippocampus. Connections between CA3 and CA1 regions with parahippocampal structures is shown.
Sharp waves and ripples: sleep spindle and K-complex in EEG
sleep spindle and K-complex in EEG

Worked examples

Example 1 — a first encounter with Sharp waves and ripples

Start with the simplest possible case. Write down what Sharp waves and ripples claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Sharp waves and ripples before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Sharp waves and ripples ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Sharp waves and ripples

In research
Sharp waves and ripples appears in biology research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Sharp waves and ripples in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Sharp waves and ripples is common in secondary-school and first-year university syllabi. It links to neighbouring topics Neurophysiology, so understanding it makes those chapters shorter.
In everyday life
Look for Sharp waves and ripples outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Sharp waves and ripples in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Sharp waves and ripples means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Sharp waves and ripples out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Sharp waves and ripples in simple terms?

Sharp waves and ripples (SPW-R), also called sharp wave ripples (SWR), are oscillatory patterns produced by extremely synchronized activity of neurons in the mammalian hippocampus and neighboring regions which occur spontaneously in idle waking states or during NREM sleep. They can be observed with…

Why does Sharp waves and ripples matter?

Because it connects several biology ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Sharp waves and ripples?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Sharp waves and ripples.

Tags

  • Neurophysiology

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