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Seizures: Classification

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:
Encephalitis l: Introduction01:19

Encephalitis l: Introduction

Encephalitis is inflammation of the brain parenchyma, most often due to infections or autoimmune processes. It presents with neuropsychiatric features such as fever, altered mental status, behavioral changes, cognitive dysfunction, seizures, focal deficits, and sometimes autonomic instability. In some cases, the meninges are also involved, resulting in meningoencephalitis.Infectious CausesInfectious encephalitis is most commonly viral but can also result from bacterial, fungal, or parasitic...
Encephalitis ll: Pathophysiology01:26

Encephalitis ll: Pathophysiology

Encephalitis is inflammation of the brain parenchyma caused by direct viral invasion or immune-mediated mechanisms triggered by infections or tumors. Both processes lead to neuronal injury, disrupted neurotransmission, and diverse neurological symptoms, often with overlapping clinical and pathological features.Autoimmune EncephalitisIn autoimmune encephalitis, antibodies target neuronal antigens on cell surfaces, synapses, or within neurons. A key example is anti-NMDAR encephalitis, which can...
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Cerebral Edema ll: Pathophysiology

Vasogenic edema is a major form of cerebral edema characterized by abnormal accumulation of fluid in the brain’s extracellular space due to disruption of the blood–brain barrier (BBB). The BBB is a specialized structure composed of endothelial cells connected by tight junctions, supported by astrocytic endfeet and a basement membrane. Under normal conditions, it tightly regulates the movement of ions, proteins, and solutes between the bloodstream and brain parenchyma. When this barrier loses...
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Alzheimer Disease ll: Pathophysiology

Alzheimer disease involves structural changes in the brain that begin long before symptoms appear. The most distinctive features are extracellular neuritic plaques and intracellular neurofibrillary tangles.Neuritic plaques form in the cerebral cortex and around blood vessels. These plaques contain a dense core of beta-amyloid (Aβ)—a toxic protein fragment that clumps outside neurons. The core is surrounded by damaged neuronal extensions, as well as reactive astrocytes and microglia. Abnormal...
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Hepatic Encephalopathy

DefinitionHepatic encephalopathy is a reversible neurologic syndrome that results from advanced liver dysfunction or portosystemic shunting. It leads to disturbances in cognition, behavior, and motor function due to the brain’s exposure to gut-derived toxins that the liver fails to detoxify.EtiologyThis condition develops either in the setting of acute fulminant hepatitis or progressively during chronic liver disease, such as cirrhosis and portal hypertension. Portosystemic shunting—including...

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Video Experimental Relacionado

Updated: Jun 13, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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Identificación de la encefalopatía hepática leve basada en una hiperred de conectividad funcional de varios niveles

Chi Zhang1, Fei Liu1, Yue Cheng2,3

  • 1Tianjin Key lab of cognitive computing and application, College of Intelligence and Computing, Tianjin University, Yaguan Road, Tianjin, 300350, Tianjin, China.

Neuroinformatics
|August 20, 2025
PubMed
Resumen

Este estudio introduce una nueva red de hiperconectividad de alto nivel utilizando fMRI en estado de reposo para el diagnóstico temprano de encefalopatía hepática leve. El método identifica efectivamente los cambios en la red cerebral, mejorando la precisión del diagnóstico y la interpretabilidad.

Palabras clave:
Diagnóstico de enfermedades cerebralesEncefalopatía hepáticaRed de hiperconectividadNivel múltipleConjuntos de datos de muestra pequeña

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A Multimodal Imaging- and Stimulation-based Method of Evaluating Connectivity-related Brain Excitability in Patients with Epilepsy
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Área de la Ciencia:

  • La neurociencia
  • Imágenes médicas
  • Ciencia de las redes

Sus antecedentes:

  • El diagnóstico precoz de la encefalopatía hepática leve (EML) es crucial para el tratamiento y la prevención de la progresión.
  • Los modelos de red de hiperconectividad cerebral existentes para trastornos neurológicos están limitados al considerar solo la sincronización temporal de bajo nivel.

Objetivo del estudio:

  • Proponer una nueva red de hiperconectividad de alto nivel utilizando imágenes de resonancia magnética funcional en estado de reposo (rs-fMRI) para mejorar el diagnóstico de la EMH.
  • Para capturar interacciones complejas entre regiones del cerebro para mejorar las capacidades de diagnóstico en trastornos neurológicos.

Principales métodos:

  • Construcción de redes de hiperconectividad de alto nivel de varios niveles a partir de datos de resonancia magnética funcional.
  • Extracción y combinación del hipergrado del nodo, la importancia global del hiper borde y las características de dispersión del hiper borde.
  • Aplicación del árbol de decisión de aumento de gradiente para la selección y clasificación de características, validado mediante validación cruzada de una sola salida.

Principales resultados:

  • El método propuesto demostró un rendimiento considerable en el diagnóstico de la EMH.
  • La validación en un conjunto de datos independiente de trastorno del espectro autista (TEA) confirmó la capacidad de generalización del modelo.
  • La identificación de las regiones clave del cerebro y las características hiperedge proporcionaron interpretabilidad para el modelo de diagnóstico.

Conclusiones:

  • La nueva red de hiperconectividad de alto nivel es efectiva para el diagnóstico de MHE.
  • El método exhibe fuertes capacidades de generalización, aplicables a otros trastornos neurológicos.
  • El enfoque ofrece información valiosa sobre las alteraciones de la red cerebral asociadas con el MHE.