<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Zhang G</submitter><funding>Rosetrees’ Trust, UK</funding><funding>Medical Research Council</funding><funding>National Natural Science Foundation of China</funding><funding>Key R&amp;amp;D Program of China</funding><pagination>1112-1122</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7616489</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>95(12)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Sleep fragmentation is a persistent problem throughout the course of Parkinson's disease (PD). However, the related neurophysiological patterns and the underlying mechanisms remained unclear.&lt;h4>Method&lt;/h4>We recorded subthalamic nucleus (STN) local field potentials (LFPs) using deep brain stimulation (DBS) with real-time wireless recording capacity from 13 patients with PD undergoing a one-night polysomnography recording, 1 month after DBS surgery before initial programming and when the patients were off-medication. The STN LFP features that characterised different sleep stages, correlated with arousal and sleep fragmentation index, and preceded stage transitions during N2 and REM sleep were analysed.&lt;h4>Results&lt;/h4>Both beta and low gamma oscillations in non-rapid eye movement (NREM) sleep increased with the severity of sleep disturbance (arousal index (ArI)-beta&lt;sub>NREM&lt;/sub>: r=0.9, p=0.0001, sleep fragmentation index (SFI)-beta&lt;sub>NREM&lt;/sub>: r=0.6, p=0.0301; SFI-gamma&lt;sub>NREM&lt;/sub>: r=0.6, p=0.0324). We next examined the low-to-high power ratio (LHPR), which was the power ratio of theta oscillations to beta and low gamma oscillations, and found it to be an indicator of sleep fragmentation (ArI-LHPR&lt;sub>NREM&lt;/sub>: r=-0.8, p=0.0053; ArI-LHPR&lt;sub>REM&lt;/sub>: r=-0.6, p=0.0373; SFI-LHPR&lt;sub>NREM&lt;/sub>: r=-0.7, p=0.0204; SFI-LHPR&lt;sub>REM&lt;/sub>: r=-0.6, p=0.0428). In addition, long beta bursts (>0.25 s) during NREM stage 2 were found preceding the completion of transition to stages with more cortical activities (towards Wake/N1/REM compared with towards N3 (p&lt;0.01)) and negatively correlated with STN spindles, which were detected in STN LFPs with peak frequency distinguishable from long beta bursts (STN spindle: 11.5 Hz, STN long beta bursts: 23.8 Hz), in occupation during NREM sleep (β=-0.24, p&lt;0.001).&lt;h4>Conclusion&lt;/h4>Features of STN LFPs help explain neurophysiological mechanisms underlying sleep fragmentations in PD, which can inform new intervention for sleep dysfunction.&lt;h4>Trial registration number&lt;/h4>NCT02937727.</pubmed_abstract><journal>Journal of neurology, neurosurgery, and psychiatry</journal><pubmed_title>Neurophysiological features of STN LFP underlying sleep fragmentation in Parkinson's disease.</pubmed_title><pmcid>PMC7616489</pmcid><funding_grant_id>N/A</funding_grant_id><funding_grant_id>81527901</funding_grant_id><funding_grant_id>2022YFC2405100</funding_grant_id><funding_grant_id>MC_UU_00003/2</funding_grant_id><pubmed_authors>Zhang G</pubmed_authors><pubmed_authors>Zhang JG</pubmed_authors><pubmed_authors>Tan H</pubmed_authors><pubmed_authors>Guo Y</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Yu H</pubmed_authors><pubmed_authors>Yin G</pubmed_authors><pubmed_authors>Gong C</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Xu S</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Hao H</pubmed_authors><pubmed_authors>Yuan X</pubmed_authors></additional><is_claimable>false</is_claimable><name>Neurophysiological features of STN LFP underlying sleep fragmentation in Parkinson's disease.</name><description>&lt;h4>Background&lt;/h4>Sleep fragmentation is a persistent problem throughout the course of Parkinson's disease (PD). However, the related neurophysiological patterns and the underlying mechanisms remained unclear.&lt;h4>Method&lt;/h4>We recorded subthalamic nucleus (STN) local field potentials (LFPs) using deep brain stimulation (DBS) with real-time wireless recording capacity from 13 patients with PD undergoing a one-night polysomnography recording, 1 month after DBS surgery before initial programming and when the patients were off-medication. The STN LFP features that characterised different sleep stages, correlated with arousal and sleep fragmentation index, and preceded stage transitions during N2 and REM sleep were analysed.&lt;h4>Results&lt;/h4>Both beta and low gamma oscillations in non-rapid eye movement (NREM) sleep increased with the severity of sleep disturbance (arousal index (ArI)-beta&lt;sub>NREM&lt;/sub>: r=0.9, p=0.0001, sleep fragmentation index (SFI)-beta&lt;sub>NREM&lt;/sub>: r=0.6, p=0.0301; SFI-gamma&lt;sub>NREM&lt;/sub>: r=0.6, p=0.0324). We next examined the low-to-high power ratio (LHPR), which was the power ratio of theta oscillations to beta and low gamma oscillations, and found it to be an indicator of sleep fragmentation (ArI-LHPR&lt;sub>NREM&lt;/sub>: r=-0.8, p=0.0053; ArI-LHPR&lt;sub>REM&lt;/sub>: r=-0.6, p=0.0373; SFI-LHPR&lt;sub>NREM&lt;/sub>: r=-0.7, p=0.0204; SFI-LHPR&lt;sub>REM&lt;/sub>: r=-0.6, p=0.0428). In addition, long beta bursts (>0.25 s) during NREM stage 2 were found preceding the completion of transition to stages with more cortical activities (towards Wake/N1/REM compared with towards N3 (p&lt;0.01)) and negatively correlated with STN spindles, which were detected in STN LFPs with peak frequency distinguishable from long beta bursts (STN spindle: 11.5 Hz, STN long beta bursts: 23.8 Hz), in occupation during NREM sleep (β=-0.24, p&lt;0.001).&lt;h4>Conclusion&lt;/h4>Features of STN LFPs help explain neurophysiological mechanisms underlying sleep fragmentations in PD, which can inform new intervention for sleep dysfunction.&lt;h4>Trial registration number&lt;/h4>NCT02937727.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2026-06-03T05:20:07.785Z</modification><creation>2026-05-28T03:07:29.296Z</creation></dates><accession>S-EPMC7616489</accession><cross_references><pubmed>38724231</pubmed><doi>10.1136/jnnp-2023-331979</doi></cross_references></HashMap>