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Large-scale Three-dimensional Imaging of Cellular Organization in the Mouse Neocortex
Published on: September 5, 2018
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Respuesta al comentario sobre "Principios de conectividad entre tipos celulares morfológicamente definidos en el
Xiaolong Jiang1, Shan Shen2, Fabian Sinz2
1Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA. astolias@bcm.edu xiaolonj@bcm.edu.
Science (New York, N.Y.)
|September 10, 2016
Resumen
Este estudio aborda las críticas con respecto a la investigación de conectividad cerebral, aclarando los métodos y las clasificaciones celulares. Defendemos nuestros hallazgos sobre la integridad del circuito neuronal y los tipos de interneuronas.
Área de la Ciencia:
- La neurociencia
- Neurociencia computacional
Sus antecedentes:
- Barth y otros. planteó preocupaciones sobre la integridad de nuestro estudio, la metodología y la clasificación celular.
- Las críticas específicas incluyeron el corte cerebral, las técnicas de parcheado múltiple y la categorización de las interneuronas.
Objetivo del estudio:
- Para abordar directamente y refutar las críticas planteadas por Barth et al.
- Para aclarar la integridad de nuestro estudio de conectividad cerebral.
- Para validar nuestro esquema de clasificación celular para los tipos de interneuron.
Principales métodos:
- Reevaluación de las técnicas de corte de cerebro y multiparcheo.
- Análisis de la matriz de conectividad.
- Evaluación comparativa de nuestra clasificación de las interneuronas con la literatura existente.
Principales resultados:
- La integridad de nuestro estudio está respaldada por datos completos, no exagerados.
- Las limitaciones técnicas no introducen un sesgo significativo en la matriz de conectividad.
- Nuestro esquema de clasificación celular es distinto y proporciona nuevos conocimientos sobre la diversidad de las interneuronas.
Conclusiones:
- Las críticas de Barth y otros. se basan en malentendidos o interpretaciones erróneas.
- Nuestra investigación sobre la conectividad neuronal y la clasificación de las interneuronas sigue siendo sólida.
- La validación adicional confirma la importancia de nuestros hallazgos en la comprensión de los circuitos cerebrales.
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