Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis
Abstract Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high frequencies and reduced power for middle frequencies. However, these differences have yet to be quantified using effect siz...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2023-12-01
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| Series: | Translational Psychiatry |
| Online Access: | https://doi.org/10.1038/s41398-023-02681-2 |
| _version_ | 1797388051287113728 |
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| author | Wei Siong Neo Dan Foti Brandon Keehn Bridgette Kelleher |
| author_facet | Wei Siong Neo Dan Foti Brandon Keehn Bridgette Kelleher |
| author_sort | Wei Siong Neo |
| collection | DOAJ |
| description | Abstract Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high frequencies and reduced power for middle frequencies. However, these differences have yet to be quantified using effect sizes and probed robustly for consistency, which are critical next steps for clinical translation. Following PRISMA guidelines, we conducted a systematic review of published and gray literature on resting-state EEG power in autism. We performed 10 meta-analyses to synthesize and quantify differences in absolute and relative resting-state delta, theta, alpha, beta, and gamma EEG power in autism. We also conducted moderator analyses to determine whether demographic characteristics, methodological details, and risk-of-bias indicators might account for heterogeneous study effect sizes. Our literature search and study selection processes yielded 41 studies involving 1,246 autistic and 1,455 neurotypical individuals. Meta-analytic models of 135 effect sizes demonstrated that autistic individuals exhibited reduced relative alpha (g = −0.35) and increased gamma (absolute: g = 0.37, relative: g = 1.06) power, but similar delta (absolute: g = 0.06, relative: g = 0.10), theta (absolute: g = −0.03, relative: g = −0.15), absolute alpha (g = −0.17), and beta (absolute: g = 0.01, relative: g = 0.08) power. Substantial heterogeneity in effect sizes was observed across all absolute (I 2: 36.1–81.9%) and relative (I 2: 64.6–84.4%) frequency bands. Moderator analyses revealed that age, biological sex, IQ, referencing scheme, epoch duration, and use of gold-standard autism diagnostic instruments did not moderate study effect sizes. In contrast, resting-state paradigm type (eyes-closed versus eyes-open) moderated absolute beta, relative delta, and relative alpha power effect sizes, and resting-state recording duration moderated relative alpha power effect sizes. These findings support further investigation of resting-state alpha and gamma power as potential biomarkers for autism. |
| first_indexed | 2024-03-08T22:35:07Z |
| format | Article |
| id | doaj.art-345fd82672cd435b8d04f808aac0c786 |
| institution | Directory Open Access Journal |
| issn | 2158-3188 |
| language | English |
| last_indexed | 2024-03-08T22:35:07Z |
| publishDate | 2023-12-01 |
| publisher | Nature Publishing Group |
| record_format | Article |
| series | Translational Psychiatry |
| spelling | doaj.art-345fd82672cd435b8d04f808aac0c7862023-12-17T12:30:41ZengNature Publishing GroupTranslational Psychiatry2158-31882023-12-0113111410.1038/s41398-023-02681-2Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysisWei Siong Neo0Dan Foti1Brandon Keehn2Bridgette Kelleher3Department of Psychological Sciences, Purdue UniversityDepartment of Psychological Sciences, Purdue UniversityDepartment of Psychological Sciences, Purdue UniversityDepartment of Psychological Sciences, Purdue UniversityAbstract Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high frequencies and reduced power for middle frequencies. However, these differences have yet to be quantified using effect sizes and probed robustly for consistency, which are critical next steps for clinical translation. Following PRISMA guidelines, we conducted a systematic review of published and gray literature on resting-state EEG power in autism. We performed 10 meta-analyses to synthesize and quantify differences in absolute and relative resting-state delta, theta, alpha, beta, and gamma EEG power in autism. We also conducted moderator analyses to determine whether demographic characteristics, methodological details, and risk-of-bias indicators might account for heterogeneous study effect sizes. Our literature search and study selection processes yielded 41 studies involving 1,246 autistic and 1,455 neurotypical individuals. Meta-analytic models of 135 effect sizes demonstrated that autistic individuals exhibited reduced relative alpha (g = −0.35) and increased gamma (absolute: g = 0.37, relative: g = 1.06) power, but similar delta (absolute: g = 0.06, relative: g = 0.10), theta (absolute: g = −0.03, relative: g = −0.15), absolute alpha (g = −0.17), and beta (absolute: g = 0.01, relative: g = 0.08) power. Substantial heterogeneity in effect sizes was observed across all absolute (I 2: 36.1–81.9%) and relative (I 2: 64.6–84.4%) frequency bands. Moderator analyses revealed that age, biological sex, IQ, referencing scheme, epoch duration, and use of gold-standard autism diagnostic instruments did not moderate study effect sizes. In contrast, resting-state paradigm type (eyes-closed versus eyes-open) moderated absolute beta, relative delta, and relative alpha power effect sizes, and resting-state recording duration moderated relative alpha power effect sizes. These findings support further investigation of resting-state alpha and gamma power as potential biomarkers for autism.https://doi.org/10.1038/s41398-023-02681-2 |
| spellingShingle | Wei Siong Neo Dan Foti Brandon Keehn Bridgette Kelleher Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis Translational Psychiatry |
| title | Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis |
| title_full | Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis |
| title_fullStr | Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis |
| title_full_unstemmed | Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis |
| title_short | Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis |
| title_sort | resting state eeg power differences in autism spectrum disorder a systematic review and meta analysis |
| url | https://doi.org/10.1038/s41398-023-02681-2 |
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