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Ciencia básica y patogénesis

Xiaoyan Liang1, Xuewen Xiao1, Cong Zhang1

  • 1Xiangya Hospital, Central South University, Changsha, Hunan, China.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 23, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Las diferencias cuantitativas en la electroencefalografía (EEG) en estado de reposo distinguen a los ancianos cognitivamente normales (CN) de los cognitivamente deteriorados (CI). Estos marcadores de EEG están asociados de forma independiente con el rendimiento cognitivo, lo que ofrece potencial para la detección temprana de demencia.

Palabras clave:
electroencefalografía cuantitativaestado de reposoancianosdeterioro cognitivobiomarcador temprano

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Área de la Ciencia:

  • Neurociencia
  • Gerontología
  • Ingeniería Biomédica

Sus antecedentes:

  • La electroencefalografía (EEG) es crucial para el estudio de trastornos neurológicos.
  • Las diferencias cuantitativas de EEG (qEEG) entre las poblaciones de ancianos cognitivamente normales (CN) y cognitivamente deteriorados (CI) requieren una mayor investigación.
  • La identificación de cambios tempranos en el EEG puede dilucidar las alteraciones y mecanismos electrofisiológicos en la patogénesis de la demencia.

Objetivo del estudio:

  • Investigar las diferencias cuantitativas en el EEG en estado de reposo entre personas mayores CN y CI.
  • Determinar la asociación entre índices específicos de EEG y el rendimiento cognitivo.
  • Explorar el potencial del EEG como biomarcador temprano para el declive cognitivo.

Principales métodos:

  • Se recopilaron datos de EEG en estado de reposo de 685 participantes de edad avanzada (300 CN, 385 CI) utilizando un electroencefalógrafo NVX19.
  • Se analizaron los datos de EEG en cuanto a frecuencia pico y potencia de banda en 19 electrodos utilizando el software DAFCAR.
  • La función cognitiva se evaluó mediante el Mini-Mental State Examination (MMSE), con ajustes por nivel educativo.
  • También se analizó el genotipo APOE ε4.

Principales resultados:

  • Inicialmente, 21 índices de EEG mostraron diferencias significativas entre los grupos CN y CI (p < 0.05).
  • Después de ajustar por factores demográficos y genéticos, 20 índices de EEG permanecieron significativamente correlacionados con las puntuaciones del MMSE.
  • Los hallazgos específicos incluyen una correlación negativa del Alpha frontocentral con el MMSE y una correlación positiva del Alpha temporal.
  • Las subbandas Beta (Beta1, Beta2) exhibieron patrones regionales complejos.

Conclusiones:

  • Las características del EEG en estado de reposo difieren significativamente entre las personas mayores cognitivamente normales y con deterioro.
  • Estas características del EEG están asociadas de forma independiente con el rendimiento cognitivo.
  • El análisis qEEG es prometedor para identificar cambios electrofisiológicos tempranos relacionados con el deterioro cognitivo y la demencia.