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However, the day\u2010to\u2010day variability of this feature is unknown. To investigate this, healthy participants recorded their own brain activity daily at home using the Muse 2 headband, a low\u2010cost consumer\u2010grade mobile electroencephalography (EEG) device. Resting\u2010state recordings of all participants using a high\u2010density (HD) EEG were also collected in lab before and after the at\u2010home data collection period. We found that the IAF extracted from the Muse 2 was comparable to that of location\u2010matched HD\u2010EEG electrodes. No significant difference was found between these IAF values before and after the at\u2010home recording period for the HD\u2010EEG device. Similarly, there was also no statistically significant difference between the beginning and end of the at\u2010home recording period for the Muse 2 headband over 1\u2009month. Despite the group\u2010level stability of IAF, the individual\u2010level day\u2010to\u2010day IAF variability carried mental health\u2010relevant information: Exploratory analyses revealed a relationship between IAF day\u2010to\u2010day variability and trait anxiety. We also noted that the IAF systematically varied across the scalp and although the Muse 2 electrodes do not cover the occipital lobe where alpha oscillations were the strongest, IAFs measured in the temporal lobe and occipital lobe were strongly correlated. Altogether, these results show that mobile EEG devices are useful for studying IAF variability. The relationship between day\u2010to\u2010day variability of region\u2010specific IAF and the dynamics of psychiatric symptoms, particularly anxiety, should be further investigated.<\/jats:p>","DOI":"10.1111\/ejn.16002","type":"journal-article","created":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T02:35:11Z","timestamp":1683167711000},"page":"1815-1833","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Day\u2010to\u2010day individual alpha frequency variability measured by a mobile EEG device relates to anxiety"],"prefix":"10.1111","volume":"57","author":[{"given":"Lauren","family":"Sidelinger","sequence":"first","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill North Carolina USA"},{"name":"Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengsen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3724-5621","authenticated-orcid":false,"given":"Flavio","family":"Frohlich","sequence":"additional","affiliation":[{"name":"Department of Psychiatry University of North Carolina at Chapel Hill Chapel Hill North Carolina USA"},{"name":"Neuroscience Center University of North Carolina Chapel Hill North Carolina USA"},{"name":"Department of Cell Biology and Physiology University of North Carolina Chapel Hill North Carolina USA"},{"name":"Department of Biomedical Engineering University of North Carolina Chapel Hill North Carolina USA"},{"name":"Department of Neurology University of North Carolina Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stacey B.","family":"Daughters","sequence":"additional","affiliation":[{"name":"Department of Psychology and Neuroscience University of North Carolina at Chapel Hill Chapel Hill North Carolina USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2018.10.056"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpain.2018.09.004"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-019-0439-0"},{"key":"e_1_2_9_5_1","volume-title":"BDI\u2010II: Beck Depression Inventory Manual","author":"Beck A. 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Pion\u2010Tonachini L. &Jung T.\u2010P.(2018).Evaluation of artifact subspace reconstruction for automatic EEG artifact removal. In2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 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