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When I started EEG research, I struggled with the best way to conduct EEG experiments, and it took me years to do it right. I learned by making mistakes and often wasted months of work. Based on my experience, these are 16 pieces of advice for junior researchers for designing and conducting EEG experiments. 00:00 Introduction 00:30 Reviewing the literature 01:21 Planning, planning, planning 02:01 EEG is not psychophysics 03:53 Simpler is better 05:14 Proper randomization 06:01 Power calculation 07:21 Ethical approval 08:11 Pre-registration 10:03 Program the experiment yourself 10:39 Do not trust your equipment too much 12:49 Scan electrode positions and get MRIs 14:10 Acquire pilot data 14:49 Check EEG data quality 16:35 Take notes 17:08 Organizing data 18:04 Do not modify the experiment Randomization and article showing the problems of block design experiments: https://ieeexplore.ieee.org/document/... Power analysis and sample size calculator online tool: https://clincalc.com/stats/samplesize... Pre-registration site: https://osf.io/prereg/ Psychophysics toolbox: http://psychtoolbox.org/ Journal article about data quality: https://pubmed.ncbi.nlm.nih.gov/20374... Scanning electrode positions: https://github.com/sccn/get_chanlocs/... Organizing data and BIDS: https://github.com/sccn/bids-matlab-t... Credit: Brain movie animation (at the beginning). Adam Gazelley's lab at UCSF and UCSD.