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This study introduces a new EEG feature extraction algorithm, Normalized Adjusted Permutation Conditional Mutual Information (NAPCMI), to improve the accuracy of spatial cognition assessments. By capturing the symmetry and temporal dependencies within EEG signals during spatial cognition tasks, NAPCMI enhances the ability to extract relevant features. The study validates NAPCMI using a BCI-VR spatial cognition assessment system, incorporating gesture recognition. Results demonstrate that NAPCMI outperforms traditional methods in feature extraction, highlighting its potential for advancing the understanding and assessment of spatial cognitive abilities. The findings also emphasize the significance of specific EEG frequency bands, such as Delta and Beta1, in spatial cognition tasks, further validating NAPCMI\u2019s effectiveness.<\/jats:p>","DOI":"10.3390\/sym17010130","type":"journal-article","created":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T10:27:58Z","timestamp":1737109678000},"page":"130","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Characterization of Spatial Cognitive EEG Signals Using Normalized Adjusted Permutation Conditional Mutual Information"],"prefix":"10.3390","volume":"17","author":[{"given":"Xianglong","family":"Wan","sequence":"first","affiliation":[{"name":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems, Ministry of Education, Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yue","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-4916-2521","authenticated-orcid":false,"given":"Zhenzhen","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong","family":"Wen","sequence":"additional","affiliation":[{"name":"School of Intelligence Science and Technology, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Key Laboratory of Perception and Control of Intelligent Bionic Unmanned Systems, Ministry of Education, Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,17]]},"reference":[{"key":"ref_1","first-page":"102","article-title":"Cognitive processing characteristics of visuospatial ability","volume":"33","author":"Xuqun","year":"2004","journal-title":"J. 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