(variable) Frequency-based Layer Identification Procedure (FLIP and vFLIP) for spectrolaminar analysis

The mammalian cerebral cortex is anatomically organized into a six-layer motif. In this dataset and associated paper (Mendoza-Halliday et al., 2023) we show that a corresponding laminar motif of neuronal activity patterns exists across the cortex in the power of local field potentials (LFP). Using laminar probes, we recorded LFPs in five macaque monkeys in 14 cortical areas across the cortical hierarchy. The laminar locations of recordings were histologically identified via electrolytic lesions. Across all areas, we found a ubiquitous spectrolaminar pattern characterized by an increasing deep-to-superficial layer gradient of high-frequency power peaking in layers 2/3 and an increasing superficial-to-deep gradient of alpha-beta power peaking in layers 5/6. Our results suggest the existence of a canonical layer- and frequency-based mechanism for cortical computation. To facilitate the detection of these spectrolaminar patterns, we are releasing data associated with \"Study 1\" and \"Study 2\"..., Mulit-channel electrode arrays were implanted into different areas of the primate visual cortex. Local field potentials were acquired, and processed for their spectral power in frequencies ranging from 1–150Hz spanning gamma (50–150 Hz) and alpha/beta (10–30 Hz) ranges. A relative power metric was computed and analyzed for the spectrolaminar pattern across layers. This pattern defines the anatomical position of layers 2/3 (peak of gamma relative power), layers 5/6 (peak of alpha/beta relative power), and layer 4 (cross-over between gamma and alpha/beta)., , # (variable) Frequency-based Layer Identification Procedure (FLIP and vFLIP) for Spectrolaminar analysis

[https://doi.org/10.5061/dryad.9w0vt4bnp](https://doi.org/10.5061/dryad.9w0vt4bnp)

## **FLIP Algorithm File Descriptions**

### Getting Started

There are three files available for download: FLIPAnalysis.m, main_FLIP_script, and data.mat
The only file necessary to perform the FLIP algorithm on an existing non-normalized powermatrix is FLIPAnalysis.m. The provided tutorial details how to utilize FLIP. Two supplementary files are provided:
data.mat contains the data used in the paper, and main_FLIP_script.m is a script that interact with the FLIPAnalysis function.
main_FLIP_script is helpful in demonstrating how FLIP can be used in data analysis.

### File and function Descriptions

#### Published_main_FLIP_script.pdf

This PDF contains the author's run of main_FLIP_script.m and associated figures produced by that script, so that users can verify they are getting the expected figure ..., , ### **Changes after Nov 7, 2023:** 

The original release includes the following files:

**FLIP_Algorithm_Introduction.pdf**: An description of the FLIP analysis code.

**FLIPAnalysis.m**: Matlab function to perform FLIP or vFLIP analysis.

**data.mat**: Example data including two laminar electrophysiological recordings from macaque cortex.

**main_FLIP_script.m**: An example Matlab script that uses the FLIPAnalysis.m function to perform FLIP or vFLIP analysis on the example data provided (data.mat) and generate results and figures.

**Published_main_FLIP_script.pdf**: A PDF file displaying the text in main_FLIP_script.m.

**relpow_from_rawLFP.m**: Matlab function that produces a normalized laminar power spectrum (a.k.a. normalized laminar power map or “relpow” map) from the example data provided (data.mat).

### **Changes after Jan 17, 2024:** 

#### Variable Frequency-based Layer Identification Procedure, version 2 (vFLIP2)

The new release includes MATLAB code...