OBJECTIVES: To investigate the feasibility of Electroencephalogram (EEG) power spectrum analysis as a noninvasive method for monitoring intracranial pressure (ICP). METHODS: The EEG signals were recorded in 62 patients (70 cases) with central nervous system (CNS) disorders in our hospital. By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. Intracranial pressure was measured by lumbar puncture (LP). RESULTS: We found a significant negative correlation between PI and ICP (r = -0.849, p < 0.01). CONCLUSIONS: The PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP.
OBJECTIVES: To investigate the feasibility of Electroencephalogram (EEG) power spectrum analysis as a noninvasive method for monitoring intracranial pressure (ICP). METHODS: The EEG signals were recorded in 62 patients (70 cases) with central nervous system (CNS) disorders in our hospital. By using self-designed software, EEG power spectrum analysis was conducted and pressure index (PI) was calculated automatically. Intracranial pressure was measured by lumbar puncture (LP). RESULTS: We found a significant negative correlation between PI and ICP (r = -0.849, p < 0.01). CONCLUSIONS: The PI obtained from EEG analysis is correlated with ICP. Analysis of specific parameters from EEG power spectrum might reflect the ICP.
Authors: Jessica M Scott; Wesley J Tucker; David Martin; James B Crowell; Elizabeth Goetchius; Omar Ozgur; Scott Hamilton; Christian Otto; Rebecca Gonzales; Monica Ritter; Nathanial Newby; John DeWitt; Michael B Stenger; Robert Ploutz-Snyder; Lori Ploutz-Snyder; William H Morgan; Mark J Haykowsky Journal: JAMA Ophthalmol Date: 2019-06-01 Impact factor: 7.389
Authors: Arnošt Mládek; Václav Gerla; Petr Šeba; Vladimír Kolář; Petr Skalický; Helen Whitley; Lenka Lhotská; Vladimír Beneš; Ondřej Bradáč Journal: Sci Rep Date: 2021-07-12 Impact factor: 4.379