date: 2022-03-22T11:10:35Z pdf:unmappedUnicodeCharsPerPage: 0 pdf:PDFVersion: 1.7 pdf:docinfo:title: Individual Slow Wave Events Give Rise to Macroscopic fMRI Signatures and Drive the Strength of the BOLD Signal in Human Resting-State EEG-fMRI Recordings xmp:CreatorTool: LaTeX with hyperref package Keywords: access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: AcademicSubjects/MED00310, AcademicSubjects/MED00385, AcademicSubjects/SCI01870, DOI: 10.1093/cercor/bhab516, Cerebral Cortex, 00, 00, 21 1 2001. Abstract: The slow wave state is a general state of quiescence interrupted by sudden bursts of activity or so-called slow wave events (SWEs). Recently, the relationship between SWEs and blood oxygen level?dependent (BOLD) functional magnetic resonance imaging (fMRI) signals was assessed in rodent models which revealed cortex-wide BOLD activation. However, it remains unclear which macroscopic signature corresponds to these specific neurophysiological events in the human brain. Therefore, we analyzed simultaneous electroencephalographic (EEG)-fMRI data during human non-REM sleep. SWEs individually detected in the EEG data were used as predictors in event-related fMRI analyses to examine the relationship between SWEs and fMRI signals. For all 10 subjects we identified significant changes in BOLD activity associated with SWEs covering substantial parts of the gray matter. As demonstrated in rodents, we observed a direct relation of a neurophysiological event to specific BOLD activation patterns. We found a correlation between the number of SWEs and the spatial extent of these BOLD activation patterns and discovered that the amplitude of the BOLD response strongly depends on the SWE amplitude. As altered SWE propagation has recently been found in neuropsychiatric diseases, it is critical to reveal the brain?s physiological slow wave state networks to potentially establish early imaging biomarkers for various diseases long before disease onset. PDFVersion: 1.5 language: en dcterms:created: 2022-01-27T07:45:14Z Last-Modified: 2022-03-22T11:10:35Z dcterms:modified: 2022-03-22T11:10:35Z dc:format: application/pdf; version=1.7 title: Individual Slow Wave Events Give Rise to Macroscopic fMRI Signatures and Drive the Strength of the BOLD Signal in Human Resting-State EEG-fMRI Recordings Last-Save-Date: 2022-03-22T11:10:35Z pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:docinfo:keywords: pdf:docinfo:modified: 2022-03-22T11:10:35Z meta:save-date: 2022-03-22T11:10:35Z pdf:encrypted: false dc:title: Individual Slow Wave Events Give Rise to Macroscopic fMRI Signatures and Drive the Strength of the BOLD Signal in Human Resting-State EEG-fMRI Recordings modified: 2022-03-22T11:10:35Z cp:subject: AcademicSubjects/MED00310, AcademicSubjects/MED00385, AcademicSubjects/SCI01870, DOI: 10.1093/cercor/bhab516, Cerebral Cortex, 00, 00, 21 1 2001. Abstract: The slow wave state is a general state of quiescence interrupted by sudden bursts of activity or so-called slow wave events (SWEs). Recently, the relationship between SWEs and blood oxygen level?dependent (BOLD) functional magnetic resonance imaging (fMRI) signals was assessed in rodent models which revealed cortex-wide BOLD activation. However, it remains unclear which macroscopic signature corresponds to these specific neurophysiological events in the human brain. Therefore, we analyzed simultaneous electroencephalographic (EEG)-fMRI data during human non-REM sleep. SWEs individually detected in the EEG data were used as predictors in event-related fMRI analyses to examine the relationship between SWEs and fMRI signals. For all 10 subjects we identified significant changes in BOLD activity associated with SWEs covering substantial parts of the gray matter. As demonstrated in rodents, we observed a direct relation of a neurophysiological event to specific BOLD activation patterns. We found a correlation between the number of SWEs and the spatial extent of these BOLD activation patterns and discovered that the amplitude of the BOLD response strongly depends on the SWE amplitude. As altered SWE propagation has recently been found in neuropsychiatric diseases, it is critical to reveal the brain?s physiological slow wave state networks to potentially establish early imaging biomarkers for various diseases long before disease onset. pdf:docinfo:custom:PDFVersion: 1.5 pdf:docinfo:subject: AcademicSubjects/MED00310, AcademicSubjects/MED00385, AcademicSubjects/SCI01870, DOI: 10.1093/cercor/bhab516, Cerebral Cortex, 00, 00, 21 1 2001. Abstract: The slow wave state is a general state of quiescence interrupted by sudden bursts of activity or so-called slow wave events (SWEs). Recently, the relationship between SWEs and blood oxygen level?dependent (BOLD) functional magnetic resonance imaging (fMRI) signals was assessed in rodent models which revealed cortex-wide BOLD activation. However, it remains unclear which macroscopic signature corresponds to these specific neurophysiological events in the human brain. Therefore, we analyzed simultaneous electroencephalographic (EEG)-fMRI data during human non-REM sleep. SWEs individually detected in the EEG data were used as predictors in event-related fMRI analyses to examine the relationship between SWEs and fMRI signals. For all 10 subjects we identified significant changes in BOLD activity associated with SWEs covering substantial parts of the gray matter. As demonstrated in rodents, we observed a direct relation of a neurophysiological event to specific BOLD activation patterns. We found a correlation between the number of SWEs and the spatial extent of these BOLD activation patterns and discovered that the amplitude of the BOLD response strongly depends on the SWE amplitude. As altered SWE propagation has recently been found in neuropsychiatric diseases, it is critical to reveal the brain?s physiological slow wave state networks to potentially establish early imaging biomarkers for various diseases long before disease onset. Content-Type: application/pdf pdf:docinfo:creator: X-Parsed-By: org.apache.tika.parser.DefaultParser dc:language: en dc:subject: meta:creation-date: 2022-01-27T07:45:14Z created: 2022-01-27T07:45:14Z access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 15 Creation-Date: 2022-01-27T07:45:14Z pdf:charsPerPage: 4780 access_permission:extract_content: true access_permission:can_print: true meta:keyword: producer: Acrobat Distiller 21.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT access_permission:can_modify: true pdf:docinfo:producer: Acrobat Distiller 21.0 (Windows); modified using iTextSharp 4.1.6 by 1T3XT pdf:docinfo:created: 2022-01-27T07:45:14Z