Major Alex James, Abdaltawab Ahmed, Phillips Jessica M, Wang Tian, Lee Eric Kenji, Lichtenfeld Maxwell J, Chandrasekaran Chandramouli, Saalmann Yuri B, Maier Alexander, Desimone Robert, Miller Earl K, Bastos André M, Mendoza-Halliday Diego
The Picower Institute for Learning and Memory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Department of Neuroscience, University of Pittsburgh, Pittsburgh, PA 15260, USA.
bioRxiv. 2025 May 8:2025.05.07.652644. doi: 10.1101/2025.05.07.652644.
Our study (Mendoza-Halliday et al., 2024) made two contributions: (1) discovery of a ubiquitous cortical motif and (2) a tool derived from it-the Frequency-based Layer Identification Procedure (FLIP and vFLIP). Mackey et al. critique the tool, questioning its advantage over classic current source density (CSD) analysis, and reason backwards to challenge the motif's ubiquity. In our rebuttal, we confirm the spectrolaminar motif in diverse cortical areas using data from multiple research groups (who joined us in this rebuttal) as well as Mackey et al.'s own dataset. Additionally, we introduce vFLIP2, an improved version of our tool that addresses their comments. It reliably identified and localized the motif in our data and Mackey et al.'s data. Our findings reaffirm the motif's ubiquity. We value Mackey et al.'s comments, which helped refine our tool.
我们的研究（门多萨 - 哈利迪等人，2024年）有两项贡献：（1）发现了一种普遍存在的皮质模式，以及（2）由此衍生出的一种工具——基于频率的层识别程序（FLIP和vFLIP）。麦基等人对该工具提出了批评，质疑其相对于经典电流源密度（CSD）分析的优势，并反过来质疑该模式的普遍性。在我们的反驳中，我们使用了来自多个研究小组（他们与我们一起进行了这次反驳）的数据以及麦基等人自己的数据集，证实了不同皮质区域中存在频谱层状模式。此外，我们推出了vFLIP2，这是我们工具的一个改进版本，回应了他们的评论。它在我们的数据和麦基等人的数据中都可靠地识别并定位了该模式。我们的研究结果再次证实了该模式的普遍性。我们重视麦基等人的评论，这些评论有助于完善我们的工具。
