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Uncertainty in Multiclass Classification

Dr. Rishabh Pathak
1. What is Uncertainty in Classification? Uncertainty refers to the model’s confidence or doubt in its predictions. Quantifying uncertainty is important to understand how reliable each prediction is. In multiclass classification , uncertainty estimates provide probabilities over multiple classes, reflecting how sure the model is about each possible class. 2. Methods to Estimate Uncertainty in Multiclass Classification Most multiclass classifiers provide methods such as: predict_proba: Returns a probability distribution across all classes. decision_function: Returns scores or margins for each class (sometimes called raw or uncalibrated confidence scores). The probability distribution from predict_proba captures the uncertainty by assigning a probability to each class. 3. Shape and Interpretation of predict_proba in Multiclass Output shape: (n_samples, n_classes) Each row corresponds to the probabilities of ...
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Phantom Spike and Wave Compared to Hypersynchrony

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Dr. Rishabh Pathak

Phantom Spike and Wave (PhSW) and Hypersynchrony are both EEG patterns that can occur during similar states of brain activity, but they have distinct characteristics and clinical implications. 

Phantom Spike and Wave (PhSW)

    • Definition: PhSW is characterized by low-amplitude spikes that occur in conjunction with slow waves, forming a repeating spike and wave complex. The spikes are often subtle and can be difficult to identify.
    • Frequency: Typically occurs at a frequency of 5 to 7 Hz, but can sometimes be observed at 4 Hz, which overlaps with generalized interictal epileptiform discharges (IEDs).
    • Amplitude: The spikes usually have low amplitude (often less than 40 μV), and the slow wave typically has an amplitude of less than 50 μV.
    • Location: PhSW can be recorded from various regions, often showing a midline distribution, and can be classified into two forms (WHAM and FOLD) based on amplitude, location, and patient demographics.
    • Clinical Significance: PhSW is generally considered a normal variant but may be associated with increased prevalence of epilepsy in some patients. It is often seen during drowsiness or light sleep.

Hypersynchrony

    • Definition: Hypersynchrony refers to a pattern of EEG activity characterized by a generalized increase in amplitude and synchronous activity across multiple brain regions. It is often observed during transitions between wakefulness and drowsiness.
    • Frequency: Hypersynchrony can occur in various frequency ranges, including theta frequencies, and may not be limited to a specific frequency like PhSW.
    • Amplitude: Hypersynchrony is characterized by a greater amplitude than the surrounding background activity, often appearing as a prominent, generalized wave pattern.
    • Location: Unlike PhSW, which may have a more localized distribution, hypersynchrony typically has a generalized distribution across the scalp.
    • Clinical Significance: Hypersynchrony is often seen in early childhood and can indicate normal developmental processes. However, it may also recur during the same recording and can be associated with certain neurological conditions.

Key Differences

Feature

Phantom Spike and Wave (PhSW)

Hypersynchrony

Definition

Low-amplitude spikes with slow waves

Generalized increase in amplitude and synchronous activity

Frequency

Typically 5 to 7 Hz (sometimes 4 Hz)

Can occur in various frequency ranges, often theta frequencies

Amplitude

Low amplitude (often < 40 μV)

Greater amplitude than the surrounding background

Location

Often midline, can be frontal or occipital

Generally generalized distribution across the scalp

Clinical Significance

May indicate increased prevalence of epilepsy; often a normal variant

Common in early childhood; can indicate normal development or certain neurological conditions

Summary

While both Phantom Spike and Wave and Hypersynchrony can occur during similar states of brain activity, they differ significantly in their definitions, frequency, amplitude, and clinical implications. Understanding these differences is crucial for accurate diagnosis and management of patients presenting with these EEG patterns.

 

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