Topic 3: Imaging the Brain Flashcards
Electroencephalography (EEG)
A complex electroencephalographic waveform related in time to a specific sensory event.
An Electroencephalography (EEG) is a test that measures the electrical activity in the brain. The test uses small sensors (electrodes) that are placed on the scalp to detect the electrical signals in the brain.
- These signals are then recorded and displayed as a series of waves on a computer screen.
- By measuring the electrical activity in the brain, an EEG can provide information about the function of the brain, including which parts of the brain are active and which parts are not.
- Scalp recorded (summation): big signals made by many neurons, presumably relevant to the question at hand
- First described by Berger (1929)
- Quantified in two domains: time domain and voltage
Electroencephalography (EEG) signals are quantified in two domains:
The time domain and the frequency domain.
The time domain represents the EEG signal as a series of voltage measurements taken at regular intervals over time. This domain provides information about the temporal evolution of the EEG signal and can be used to identify specific events in the EEG such as the onset and offset of a particular brain wave.
- VOLTAGE
The frequency domain represents the EEG signal as a series of amplitudes and frequencies. This domain provides information about the spectral content of the EEG signal and can be used to identify specific frequency bands, such as delta, theta, alpha, beta, and gamma, that are associated with different cognitive states. By analyzing the EEG signal in the frequency domain, researchers can gain insights into the underlying neural processes that are generating the EEG signal.
- POWER (Fourier transform)
Event-related Potentials
- Deflections in the EGG, not action potentials.
- ERPs are slower signals that reflect the coordinated activity of large populations of neurons.
- ERP signals can be recorded by placing electrodes on the scalp.
- An ERP reflects the sum of many action potentials that are occurring over a larger population of neurons, and it provides a more global measure of neural activity.
- time-locked activity
- neurotransmitter binding
ERPs are largely the excitatory and inhibitory graded potentials, the EPSPs and IPSPs that a sensory stimulus triggers on dendrites.
What does “time-locked activity” refer to when speaking about Event-related potentials?
In the context of event-related potentials (ERPs), “time-locked activity” refers to the electrical activity in the brain that is synchronized with a specific event or stimulus. ERPs are considered time-locked because the electrical signals they measure are in synchrony with a particular event or stimulus. For example, the event might be a visual stimulus, such as a flash of light, or an auditory stimulus, such as a tone. The ERP measurement is taken after the event and shows the electrical activity that occurs in the brain in response to the event.
What does “neurotransmitter binding” refer to when speaking about Event-related potentials?
“Neurotransmitter binding” refers to the process by which neurotransmitters bind to specific receptors on a neuron. This binding leads to the activation of the receptor, which in turn triggers changes in the electrical properties of the neuron, including the flow of ions into or out of the cell. When many neurons are activated in a coordinated manner in response to a specific stimulus or event, this coordinated activity can be reflected in the EEG as an event-related potential (ERP). The changes in the electrical properties of the neurons that are part of the ERP are thought to be related to the release and binding of specific neurotransmitters, so studying neurotransmitter binding can provide insights into the underlying mechanisms that give rise to ERPs.
Exogenous EEG
Looking at time-locked events stimulated by something external to the body.
An exogenous EEG refers to electrical activity that is externally triggered, such as by a stimulus, sound, or movement. This type of EEG activity is used to study sensory processing and perception, as well as attention and memory processes.
Endogenous EEG
Looking at time-locked events stimulated by something internally.
An endogenous EEG, on the other hand, refers to spontaneous electrical activity that is not related to an external stimulus. This type of EEG activity is used to study brain activity and function when the individual is at rest, or when they are not performing any specific task. Endogenous EEG activity is believed to reflect intrinsic brain processes, such as rhythmic activity associated with different stages of sleep.
10-20 System
The 10-20 system is a standardized method for placement of electrodes on the scalp for the recording of electroencephalography (EEG) signals.
- The system is called the 10-20 system because the electrodes are placed at specific locations on the scalp that are approximately 10% or 20% of the distance from one landmark to another.
The landmarks used are:
- the nasion (the point at the bridge of the nose where the frontal and nasal bones meet),
- the inion (the bony prominence at the base of the skull),
- and the preauricular points (the points in front of the ears).
A simple legend for remembering the subscripts in the 10-20 system:
Fp: Frontopolar electrodes, located near the forehead
F: Frontal electrodes, located near the forehead
C: Central electrodes, located near the midline of the head
T: Temporal electrodes, located near the temples
P: Parietal electrodes, located near the top and back of the head
O: Occipital electrodes, located near the back of the head
- An electrode labelled “Fz” has a subscript of “z,” indicating that it is located on the midline of the head, at the point where the forehead meets the scalp.
- On the right of the head = subscript with an even number
- On the left of the head = subscript with an odd number
Examples:
- Pz = parietal zero
- O1 = occipital left
- T4 = Temporal right
What do Beta (15 Hz) waves indicate in EEG?
Beta waves are high-frequency (15 Hz) brain waves commonly associated with a state of alertness and focused attention. They are typically more prominent during activities that require active thought, such as problem-solving, decision-making, and planning.
- Beta waves tend to have a lower amplitude compared to alpha or delta waves
- Beta waves tend to be seen as fast, low-amplitude activity, while delta waves are seen as slow, high-amplitude activity.
What do Alpha (9-12 Hz) waves indicate in EEG?
Alpha waves are lower frequency (9-12 Hz) brain waves that are typically associated with a state of relaxed, daydreaming or meditative focus. They are often more prominent when the eyes are closed, when a person is relaxed, or when they are in a state of mental detachment from their surroundings.
What do Delta (1-4 Hz) waves indicate in EEG?
Delta waves are the slowest brain waves, with frequencies ranging from 1-4 Hz. They are typically associated with deep, dreamless sleep and are most prominent in infants and young children. In adults, delta waves are typically present in deep sleep and may be reduced in certain sleep disorders, such as insomnia.
Brain Mapping with ERP: Interpret
- The waves correspond to successive activations of synaptic connections through the auditory pathway from brainstem to cortex.
- ERP signals identified as I through VI (roman numerals) are from brainstem signal generators (neurons in the pathway)
- Those designated N0 through P1 represent activity the from primary auditory cortex regions (A1).
- Those designated N1 through P3 are from secondary and tertiary (association) regions of the cortex.
- The dotted lines indicate brain waves associated with thought processes in response to the signal.
- Negative upwards on the y-axis
For example, P3, produced 300 ms after stimulus presentation, represents decoding the meaning of the sounds.
Signal Averaging in EEGs
Signal averaging in EEG refers to a method of processing EEG data to obtain a clearer and more stable representation of the underlying brain activity.
- collect multiple EEG trials and to average their voltage signals over time to produce a single, averaged EEG trace.
- reduces noise and other random fluctuations in the data, and enhances the visibility of the underlying EEG patterns that are of interest, such as event-related potentials (ERPs).
- brain waves are unique to each individual, and there is a lot of between-subject variabilities
- all subjects typically have the same paradigm, but all look different from the average
In practice, signal averaging is performed by recording multiple trials of the same EEG response, and then superimposing these trials by taking the mean of their voltages at each sample point. The resulting averaged trace is then plotted as a function of time. This process is repeated for multiple electrodes and for multiple conditions or stimuli, to produce a series of averaged traces that can be compared to one another and to theoretical predictions.
Between-subject variability
Between-subject variability refers to the differences that exist between individuals in terms of their characteristics, behaviour, or responses to stimuli. In the context of EEG, between-subject variability refers to the differences in EEG patterns and amplitudes between individuals. These differences can be due to factors such as age, gender, genetic factors, or environmental exposure.