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Related Concept Videos

Seizures: Classification01:13

Seizures: Classification

632
Epilepsy is primarily characterized by unpredictable seizures, either provoked by an identifiable factor, such as injury or illness, or unprovoked, occurring spontaneously without apparent cause.
Seizures are typically classified into two main categories: focal and generalized seizures.
Focal Seizures
Focal seizures originate from specific regions of the brain. These seizures are further sub-classified into two types:
632
Epilepsy and Seizures: Overview01:24

Epilepsy and Seizures: Overview

315
Epilepsy is a chronic neurological disease marked by recurrent, unpredictable seizures. These seizures are caused by abnormal electrical discharges in the brain, leading to behavior, sensation, or consciousness alterations. They can also cause transient impairment of awareness, interfering with daily activities.
Various factors can trigger epilepsy, including genetic factors, brain damage, metabolic causes, and unknown etiology. Diagnosis of epilepsy involves electroencephalography (EEG), which...
315

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Related Experiment Video

Updated: Sep 28, 2025

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

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A framework For brain atlases: Lessons from seizure dynamics.

Andrew Y Revell1, Alexander B Silva2, T Campbell Arnold3

  • 1Department of Neuroscience, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Center for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA 19104, USA.

Neuroimage
|March 27, 2022
PubMed
Summary
This summary is machine-generated.

Choosing the right brain atlas is crucial for accurate neuroscience research. Different atlas features significantly impact findings on brain function, structure-function correlation, and disease pathophysiology, necessitating a framework for optimal selection.

Keywords:
Brain atlasEpilepsyNetworksStructure–function

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Brain Mapping

Background:

  • Brain atlases are fundamental tools in neuroscience for understanding brain organization and function.
  • A wide variety of atlases exist, posing a challenge for consistent interpretation of research findings.
  • Atlas characteristics can implicitly influence hypotheses and predictions in neurological studies.

Purpose of the Study:

  • To demonstrate how different features of brain atlases (e.g., scale, shape, coverage) affect predictions of brain function from structure.
  • To investigate the impact of atlas choice on network topology, structure-function correlation (SFC), and epilepsy pathophysiology research.
  • To propose a general framework and algorithm for selecting brain atlases to enhance their validity.

Main Methods:

  • Analysis of how varying atlas parcellation scales, shapes, and anatomical coverage influence brain network properties.
  • Evaluation of structure-function correlation (SFC) under different atlas selections.
  • Assessment of the impact of atlas choice on testing hypotheses related to epilepsy pathophysiology.

Main Results:

  • Atlas selection and its features demonstrably alter predictions of brain function from structure.
  • Network topology and SFC are sensitive to the choice of brain atlas.
  • The ability to test specific hypotheses, such as those in epilepsy, is contingent upon the selected atlas.

Conclusions:

  • The choice of brain atlas significantly impacts neuroscience research outcomes, including structure-function relationships and disease modeling.
  • A systematic framework is proposed to guide atlas selection, aiming to maximize descriptive, explanatory, and predictive validity.
  • This work provides empirical guidance for researchers using diverse brain atlases, promoting more robust and reproducible neuroscience findings.