{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Elmaghraby R"],"funding":["National Institutes of Health (NIH) Fragile X Centers"],"pagination":["49"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12486676"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["16(1)"],"pubmed_abstract":["<h4>Background</h4>Fragile X syndrome (FXS) is characterized by cortical hyperexcitability, a core neurophysiological feature that contributes to sensory hypersensitivity, cognitive dysfunction, and other disabling symptoms. This disruption in excitatory-inhibitory balance is a key pharmacological target, yet reliable biomarkers to quantify it noninvasively remain limited. Spectral slope, derived from the aperiodic component of the EEG power spectrum, has emerged as a potential index of cortical excitability. Here, we evaluated spectral slope and theta-alpha peak frequency in individuals with FXS to assess their utility as candidate neurophysiological biomarkers.<h4>Methods</h4>Five minutes of resting state EEG data were collected from 70 subjects with FXS (mean age 20.5 ± 10 years; 32 fem"],"journal":["Molecular autism"],"pubmed_title":["Divergent aperiodic slope and alpha dynamics expose cortical excitability gradients in fragile X syndrome."],"pmcid":["PMC12486676"],"funding_grant_id":["U54HD082008 and U54HD104461"],"pubmed_authors":["Liu Y","Erickson CA","Pedapati EV","Wu SW","Nelson MA","Elmaghraby R","Westerkamp G","Smith E","Larsh T","Ramesh P","Gilbert DL"],"additional_accession":[]},"is_claimable":false,"name":"Divergent aperiodic slope and alpha dynamics expose cortical excitability gradients in fragile X syndrome.","description":"<h4>Background</h4>Fragile X syndrome (FXS) is characterized by cortical hyperexcitability, a core neurophysiological feature that contributes to sensory hypersensitivity, cognitive dysfunction, and other disabling symptoms. This disruption in excitatory-inhibitory balance is a key pharmacological target, yet reliable biomarkers to quantify it noninvasively remain limited. Spectral slope, derived from the aperiodic component of the EEG power spectrum, has emerged as a potential index of cortical excitability. Here, we evaluated spectral slope and theta-alpha peak frequency in individuals with FXS to assess their utility as candidate neurophysiological biomarkers.<h4>Methods</h4>Five minutes of resting state EEG data were collected from 70 subjects with FXS (mean age 20.5 ± 10 years; 32 fem","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Oct","modification":"2026-06-04T00:34:35.157Z","creation":"2026-05-03T03:12:11.958Z"},"accession":"S-EPMC12486676","cross_references":{"pubmed":["41029474"],"doi":["10.1186/s13229-025-00682-0"]}}