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Ciencia básica y patogénesis
Jason Webster1, Ali Shojaie1, Yiqin Alicia Shen1
1University of Washington, Seattle, WA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
Resumen
Se creó un atlas digital del protocolo de muestreo cerebral (BSP) utilizando neuroimagen para la investigación del Alzheimer. Este atlas 3D mejora las solicitudes de tejido y se integra con herramientas de neuroinformática existentes para una mejor colaboración.
Área de la Ciencia:
- Neurociencia
- Neuropatología
- Bioinformática
Sus antecedentes:
- La investigación en neurociencia mecanicista requiere tejido cerebral bien conservado de biorepositorios.
- La validez de la investigación sobre la enfermedad de Alzheimer y demencias relacionadas (ADRD) depende de protocolos estandarizados de muestreo cerebral (BSP).
- El Laboratorio BRaIN de la Universidad de Washington desarrolló un BSP extenso para la preparación, el muestreo, la caracterización y el almacenamiento de tejido cerebral.
Objetivo del estudio:
- Desarrollar un atlas digital BSP utilizando un marco de neuroimagen.
- Mejorar el proceso de solicitud de tejido cerebral y los flujos de trabajo de biorepositorios.
- Generar visualizaciones científicas y vincularlas a datos de neuroimagen.
Principales métodos:
- Se realizó neuropatología virtual utilizando el BSP del laboratorio BRaIN y plantillas cerebrales estándar.
- Se utilizaron software como FreeSurfer, FSL y scripts personalizados para la extracción, segmentación y corte del cerebro.
- Se llevó a cabo un muestreo virtual de tejido en una plataforma colaborativa, con datos exportados y procesados para crear el atlas digital 3D del BSP.
Principales resultados:
- El Atlas Digital BSP proporciona etiquetas volumétricas para todas las muestras de tejido fijo.
- Incorpora convenciones estándar de neuroinformática para la compatibilidad con software como FSL, MRICroGL y FreeSurfer.
- El atlas ofrece una representación espacial explícita del BSP.
Conclusiones:
- El atlas digital BSP facilita la localización, referencia y utilización eficientes de muestras cerebrales post mortem.
- La integración con la neuroinformática mejora la colaboración interdisciplinaria, la visualización y la optimización de protocolos.
- El trabajo futuro incluye el desarrollo de software de capacitación y una interfaz flexible de identificación de muestras.
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