H1 (resample subjects and use regression coefficients) H0 (center data per group then resample subjects and use bootstrapped 𝑇 values) H1 (resample subjects in each group and use bootstrapped mean differences between groups) H0 (center data per condition then resample subjects and use bootstrapped 𝑇 values) H1 (resample subjects paired observations and use bootstrapped 𝑇 values) H0 (center data then resample subjects and use bootstrapped 𝑇 values) H1 (resample subjects and use bootstrapped 𝑇 values) (accounts for doing many tests) using cluster statistics Hypothesis tested at the univariate level using bootstrap (non corrected 𝑃 values/significance testing) Statistical tests available via the general user interface Some of the statistical methods, that is, massive univariate general linear analyses and spatiotemporal clustering for multiple comparisons correction have existed for several years whereas others like bootstrapping were introduced only recently. The toolbox offers a comprehensive range of statistical tests (Table 1), including many popular designs (ANOVAs, linear regressions, ANCOVAs). Similarly, the toolbox is primarily designed for EEG data although both EEGLAB and LIMO EEG can process MEG data. The data structure and visualization makes use of the EEGLAB Matlab toolbox ( ) therefore LIMO EEG is better used as a plug-in of EEGLAB, although the statistical analyses can be performed independently. The toolbox is implemented in Matlab ( ) and requires the Matlab statistical toolbox (free alternative to these functions can be found on the LIMO EEG server and corresponds to adapted version of Octave functions ( ). This contrasts with traditional approaches that select peaks or mean amplitudes of averaged evoked responses. The main goal of the toolbox is the analysis and formal testing for experimental effects at all electrodes/sensors and all time points of magneto- and electro encephalography (MEEG) recordings. LIMO EEG ( ) is a toolbox for the statistical analysis of physiological data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses. LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data. More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip). Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials.

Visual testing conjuction vs easy eeg