Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset Article Swipe
Fengzhen Hou
,
Zhinan Yu
,
Chung‐Kang Peng
,
Albert C. Yang
,
Chunyong Wu
,
Yan Ma
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3389/fnins.2018.00809
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.3389/fnins.2018.00809
Sleep electroencephalography (EEG) provides an opportunity to study sleep scientifically, whose chaotic, dynamic, complex, and dissipative nature implies that non-linear approaches could uncover some mechanism of sleep. Based on well-established complexity theories, one hypothesis in sleep medicine is that lower complexity of brain waves at pre-sleep state can facilitate sleep initiation and further improve sleep quality. However, this has never been studied with solid data. In this study, EEG collected from healthy subjects was used to investigate the association between pre-sleep EEG complexity and sleep quality. Multiscale entropy analysis (MSE) was applied to pre-sleep EEG signals recorded immediately after light-off (while subjects were awake) for measuring the complexities of brain dynamics by a proposed index, CI1-30. Slow wave activity (SWA) in sleep, which is commonly used as an indicator of sleep depth or sleep intensity, was quantified based on two methods, traditional Fast Fourier transform (FFT) and ensemble empirical mode decomposition (EEMD). The associations between wake EEG complexity, sleep latency, and SWA in sleep were evaluated. Our results demonstrated that lower complexity before sleep onset is associated with decreased sleep latency, indicating a potential facilitating role of reduced pre-sleep complexity in the wake-sleep transition. In addition, the proposed EEMD-based method revealed an association between wake complexity and quantified SWA in the beginning of sleep (90 min after sleep onset). Complexity metric could thus be considered as a potential indicator for sleep interventions, and further studies are encouraged to examine the application of EEG complexity before sleep onset in populations with difficulty in sleep initiation. Further studies may also examine the mechanisms of the causal relationships between pre-sleep brain complexity and SWA, or conduct comparisons between normal and pathological conditions.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fnins.2018.00809
- https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdf
- OA Status
- gold
- Cited By
- 17
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2901071138
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2901071138Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fnins.2018.00809Digital Object Identifier
- Title
-
Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep OnsetWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-11-13Full publication date if available
- Authors
-
Fengzhen Hou, Zhinan Yu, Chung‐Kang Peng, Albert C. Yang, Chunyong Wu, Yan MaList of authors in order
- Landing page
-
https://doi.org/10.3389/fnins.2018.00809Publisher landing page
- PDF URL
-
https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdfDirect OA link when available
- Concepts
-
Electroencephalography, Sleep (system call), Sleep Stages, Slow-wave sleep, Sleep onset, K-complex, Psychology, Computer science, Audiology, Medicine, Polysomnography, Neuroscience, Insomnia, Psychiatry, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
17Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 4, 2023: 1, 2022: 1, 2021: 3Per-year citation counts (last 5 years)
- References (count)
-
72Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2901071138 |
|---|---|
| doi | https://doi.org/10.3389/fnins.2018.00809 |
| ids.doi | https://doi.org/10.3389/fnins.2018.00809 |
| ids.mag | 2901071138 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/30483046 |
| ids.openalex | https://openalex.org/W2901071138 |
| fwci | 1.15826008 |
| type | article |
| title | Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset |
| awards[0].id | https://openalex.org/G4042253021 |
| awards[0].funder_id | https://openalex.org/F4320321001 |
| awards[0].display_name | |
| awards[0].funder_award_id | 81673681 |
| awards[0].funder_display_name | National Natural Science Foundation of China |
| awards[1].id | https://openalex.org/G7531386707 |
| awards[1].funder_id | https://openalex.org/F4320321001 |
| awards[1].display_name | |
| awards[1].funder_award_id | 81473357 |
| awards[1].funder_display_name | National Natural Science Foundation of China |
| awards[2].id | https://openalex.org/G8866099132 |
| awards[2].funder_id | https://openalex.org/F4320321001 |
| awards[2].display_name | |
| awards[2].funder_award_id | 61401518 |
| awards[2].funder_display_name | National Natural Science Foundation of China |
| biblio.issue | |
| biblio.volume | 12 |
| biblio.last_page | 809 |
| biblio.first_page | 809 |
| topics[0].id | https://openalex.org/T10429 |
| topics[0].field.id | https://openalex.org/fields/28 |
| topics[0].field.display_name | Neuroscience |
| topics[0].score | 0.9998999834060669 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2805 |
| topics[0].subfield.display_name | Cognitive Neuroscience |
| topics[0].display_name | EEG and Brain-Computer Interfaces |
| topics[1].id | https://openalex.org/T10581 |
| topics[1].field.id | https://openalex.org/fields/28 |
| topics[1].field.display_name | Neuroscience |
| topics[1].score | 0.9969000220298767 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2805 |
| topics[1].subfield.display_name | Cognitive Neuroscience |
| topics[1].display_name | Neural dynamics and brain function |
| topics[2].id | https://openalex.org/T10985 |
| topics[2].field.id | https://openalex.org/fields/28 |
| topics[2].field.display_name | Neuroscience |
| topics[2].score | 0.9947999715805054 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2805 |
| topics[2].subfield.display_name | Cognitive Neuroscience |
| topics[2].display_name | Sleep and Wakefulness Research |
| funders[0].id | https://openalex.org/F4320310281 |
| funders[0].ror | https://ror.org/051fd9666 |
| funders[0].display_name | Case Western Reserve University |
| funders[1].id | https://openalex.org/F4320321001 |
| funders[1].ror | https://ror.org/01h0zpd94 |
| funders[1].display_name | National Natural Science Foundation of China |
| is_xpac | False |
| apc_list.value | 2950 |
| apc_list.currency | USD |
| apc_list.value_usd | 2950 |
| apc_paid.value | 2950 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 2950 |
| concepts[0].id | https://openalex.org/C522805319 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8429317474365234 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q179965 |
| concepts[0].display_name | Electroencephalography |
| concepts[1].id | https://openalex.org/C2775841894 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7141258120536804 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q4683692 |
| concepts[1].display_name | Sleep (system call) |
| concepts[2].id | https://openalex.org/C2910364982 |
| concepts[2].level | 4 |
| concepts[2].score | 0.5536375045776367 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q35831 |
| concepts[2].display_name | Sleep Stages |
| concepts[3].id | https://openalex.org/C110539466 |
| concepts[3].level | 3 |
| concepts[3].score | 0.5475732088088989 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q3964845 |
| concepts[3].display_name | Slow-wave sleep |
| concepts[4].id | https://openalex.org/C63759246 |
| concepts[4].level | 3 |
| concepts[4].score | 0.5053530335426331 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q7539762 |
| concepts[4].display_name | Sleep onset |
| concepts[5].id | https://openalex.org/C112144039 |
| concepts[5].level | 4 |
| concepts[5].score | 0.4911046028137207 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q4994651 |
| concepts[5].display_name | K-complex |
| concepts[6].id | https://openalex.org/C15744967 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4727436304092407 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q9418 |
| concepts[6].display_name | Psychology |
| concepts[7].id | https://openalex.org/C41008148 |
| concepts[7].level | 0 |
| concepts[7].score | 0.40289515256881714 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[7].display_name | Computer science |
| concepts[8].id | https://openalex.org/C548259974 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3761105537414551 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q569965 |
| concepts[8].display_name | Audiology |
| concepts[9].id | https://openalex.org/C71924100 |
| concepts[9].level | 0 |
| concepts[9].score | 0.258338987827301 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[9].display_name | Medicine |
| concepts[10].id | https://openalex.org/C2778205975 |
| concepts[10].level | 3 |
| concepts[10].score | 0.2541014850139618 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1754874 |
| concepts[10].display_name | Polysomnography |
| concepts[11].id | https://openalex.org/C169760540 |
| concepts[11].level | 1 |
| concepts[11].score | 0.2485625147819519 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q207011 |
| concepts[11].display_name | Neuroscience |
| concepts[12].id | https://openalex.org/C2781210498 |
| concepts[12].level | 2 |
| concepts[12].score | 0.21805685758590698 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1869874 |
| concepts[12].display_name | Insomnia |
| concepts[13].id | https://openalex.org/C118552586 |
| concepts[13].level | 1 |
| concepts[13].score | 0.09643670916557312 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7867 |
| concepts[13].display_name | Psychiatry |
| concepts[14].id | https://openalex.org/C111919701 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[14].display_name | Operating system |
| keywords[0].id | https://openalex.org/keywords/electroencephalography |
| keywords[0].score | 0.8429317474365234 |
| keywords[0].display_name | Electroencephalography |
| keywords[1].id | https://openalex.org/keywords/sleep |
| keywords[1].score | 0.7141258120536804 |
| keywords[1].display_name | Sleep (system call) |
| keywords[2].id | https://openalex.org/keywords/sleep-stages |
| keywords[2].score | 0.5536375045776367 |
| keywords[2].display_name | Sleep Stages |
| keywords[3].id | https://openalex.org/keywords/slow-wave-sleep |
| keywords[3].score | 0.5475732088088989 |
| keywords[3].display_name | Slow-wave sleep |
| keywords[4].id | https://openalex.org/keywords/sleep-onset |
| keywords[4].score | 0.5053530335426331 |
| keywords[4].display_name | Sleep onset |
| keywords[5].id | https://openalex.org/keywords/k-complex |
| keywords[5].score | 0.4911046028137207 |
| keywords[5].display_name | K-complex |
| keywords[6].id | https://openalex.org/keywords/psychology |
| keywords[6].score | 0.4727436304092407 |
| keywords[6].display_name | Psychology |
| keywords[7].id | https://openalex.org/keywords/computer-science |
| keywords[7].score | 0.40289515256881714 |
| keywords[7].display_name | Computer science |
| keywords[8].id | https://openalex.org/keywords/audiology |
| keywords[8].score | 0.3761105537414551 |
| keywords[8].display_name | Audiology |
| keywords[9].id | https://openalex.org/keywords/medicine |
| keywords[9].score | 0.258338987827301 |
| keywords[9].display_name | Medicine |
| keywords[10].id | https://openalex.org/keywords/polysomnography |
| keywords[10].score | 0.2541014850139618 |
| keywords[10].display_name | Polysomnography |
| keywords[11].id | https://openalex.org/keywords/neuroscience |
| keywords[11].score | 0.2485625147819519 |
| keywords[11].display_name | Neuroscience |
| keywords[12].id | https://openalex.org/keywords/insomnia |
| keywords[12].score | 0.21805685758590698 |
| keywords[12].display_name | Insomnia |
| keywords[13].id | https://openalex.org/keywords/psychiatry |
| keywords[13].score | 0.09643670916557312 |
| keywords[13].display_name | Psychiatry |
| language | en |
| locations[0].id | doi:10.3389/fnins.2018.00809 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S115201632 |
| locations[0].source.issn | 1662-453X, 1662-4548 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1662-453X |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Frontiers in Neuroscience |
| locations[0].source.host_organization | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_name | Frontiers Media |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320527 |
| locations[0].source.host_organization_lineage_names | Frontiers Media |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdf |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Frontiers in Neuroscience |
| locations[0].landing_page_url | https://doi.org/10.3389/fnins.2018.00809 |
| locations[1].id | pmid:30483046 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Frontiers in neuroscience |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/30483046 |
| locations[2].id | pmh:oai:doaj.org/article:3f05a5d924004fc289f5cd622b82832f |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Frontiers in Neuroscience, Vol 12 (2018) |
| locations[2].landing_page_url | https://doaj.org/article/3f05a5d924004fc289f5cd622b82832f |
| locations[3].id | pmh:oai:europepmc.org:5217318 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S4306400806 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | Europe PMC (PubMed Central) |
| locations[3].source.host_organization | https://openalex.org/I1303153112 |
| locations[3].source.host_organization_name | European Bioinformatics Institute |
| locations[3].source.host_organization_lineage | https://openalex.org/I1303153112 |
| locations[3].license | cc-by |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/cc-by |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/6243118 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5022687558 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Fengzhen Hou |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I161716053 |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Biomedical Functional Materials, School of Science, China Pharmaceutical University, Nanjing, China |
| authorships[0].institutions[0].id | https://openalex.org/I161716053 |
| authorships[0].institutions[0].ror | https://ror.org/01sfm2718 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I161716053 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | China Pharmaceutical University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Fengzhen Hou |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Key Laboratory of Biomedical Functional Materials, School of Science, China Pharmaceutical University, Nanjing, China |
| authorships[1].author.id | https://openalex.org/A5100303629 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Zhinan Yu |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I161716053 |
| authorships[1].affiliations[0].raw_affiliation_string | Key Laboratory of Biomedical Functional Materials, School of Science, China Pharmaceutical University, Nanjing, China |
| authorships[1].institutions[0].id | https://openalex.org/I161716053 |
| authorships[1].institutions[0].ror | https://ror.org/01sfm2718 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I161716053 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | China Pharmaceutical University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Zhinan Yu |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Key Laboratory of Biomedical Functional Materials, School of Science, China Pharmaceutical University, Nanjing, China |
| authorships[2].author.id | https://openalex.org/A5101750777 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3666-9833 |
| authorships[2].author.display_name | Chung‐Kang Peng |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1316535847, https://openalex.org/I136199984 |
| authorships[2].affiliations[0].raw_affiliation_string | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| authorships[2].institutions[0].id | https://openalex.org/I1316535847 |
| authorships[2].institutions[0].ror | https://ror.org/04drvxt59 |
| authorships[2].institutions[0].type | healthcare |
| authorships[2].institutions[0].lineage | https://openalex.org/I1316535847 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Beth Israel Deaconess Medical Center |
| authorships[2].institutions[1].id | https://openalex.org/I136199984 |
| authorships[2].institutions[1].ror | https://ror.org/03vek6s52 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I136199984 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | Harvard University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Chung-Kang Peng |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| authorships[3].author.id | https://openalex.org/A5078614627 |
| authorships[3].author.orcid | https://orcid.org/0000-0003-2794-9649 |
| authorships[3].author.display_name | Albert C. Yang |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I1316535847, https://openalex.org/I136199984 |
| authorships[3].affiliations[0].raw_affiliation_string | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| authorships[3].institutions[0].id | https://openalex.org/I1316535847 |
| authorships[3].institutions[0].ror | https://ror.org/04drvxt59 |
| authorships[3].institutions[0].type | healthcare |
| authorships[3].institutions[0].lineage | https://openalex.org/I1316535847 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Beth Israel Deaconess Medical Center |
| authorships[3].institutions[1].id | https://openalex.org/I136199984 |
| authorships[3].institutions[1].ror | https://ror.org/03vek6s52 |
| authorships[3].institutions[1].type | education |
| authorships[3].institutions[1].lineage | https://openalex.org/I136199984 |
| authorships[3].institutions[1].country_code | US |
| authorships[3].institutions[1].display_name | Harvard University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Albert Yang |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| authorships[4].author.id | https://openalex.org/A5045696542 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-8821-4737 |
| authorships[4].author.display_name | Chunyong Wu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I161716053 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I161716053 |
| authorships[4].affiliations[1].raw_affiliation_string | Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, China Pharmaceutical University, Nanjing, China |
| authorships[4].institutions[0].id | https://openalex.org/I161716053 |
| authorships[4].institutions[0].ror | https://ror.org/01sfm2718 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I161716053 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | China Pharmaceutical University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Chunyong Wu |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | Department of Pharmaceutical Analysis, China Pharmaceutical University, Nanjing, China, Key Laboratory of Drug Quality Control and Pharmacovigilance, Ministry of Education, China Pharmaceutical University, Nanjing, China |
| authorships[5].author.id | https://openalex.org/A5048987419 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-1173-2920 |
| authorships[5].author.display_name | Yan Ma |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I1316535847, https://openalex.org/I136199984 |
| authorships[5].affiliations[0].raw_affiliation_string | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| authorships[5].institutions[0].id | https://openalex.org/I1316535847 |
| authorships[5].institutions[0].ror | https://ror.org/04drvxt59 |
| authorships[5].institutions[0].type | healthcare |
| authorships[5].institutions[0].lineage | https://openalex.org/I1316535847 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Beth Israel Deaconess Medical Center |
| authorships[5].institutions[1].id | https://openalex.org/I136199984 |
| authorships[5].institutions[1].ror | https://ror.org/03vek6s52 |
| authorships[5].institutions[1].type | education |
| authorships[5].institutions[1].lineage | https://openalex.org/I136199984 |
| authorships[5].institutions[1].country_code | US |
| authorships[5].institutions[1].display_name | Harvard University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Yan Ma |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Division of Interdisciplinary Medicine and Biotechnology, Department of Medicine, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, United States |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Complexity of Wake Electroencephalography Correlates With Slow Wave Activity After Sleep Onset |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10429 |
| primary_topic.field.id | https://openalex.org/fields/28 |
| primary_topic.field.display_name | Neuroscience |
| primary_topic.score | 0.9998999834060669 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2805 |
| primary_topic.subfield.display_name | Cognitive Neuroscience |
| primary_topic.display_name | EEG and Brain-Computer Interfaces |
| related_works | https://openalex.org/W3014223808, https://openalex.org/W2014175997, https://openalex.org/W2016721557, https://openalex.org/W2991581874, https://openalex.org/W2342453365, https://openalex.org/W2319810220, https://openalex.org/W2035227061, https://openalex.org/W3111595903, https://openalex.org/W4287554351, https://openalex.org/W41640785 |
| cited_by_count | 17 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 3 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 4 |
| counts_by_year[2].year | 2023 |
| counts_by_year[2].cited_by_count | 1 |
| counts_by_year[3].year | 2022 |
| counts_by_year[3].cited_by_count | 1 |
| counts_by_year[4].year | 2021 |
| counts_by_year[4].cited_by_count | 3 |
| counts_by_year[5].year | 2020 |
| counts_by_year[5].cited_by_count | 2 |
| counts_by_year[6].year | 2019 |
| counts_by_year[6].cited_by_count | 3 |
| locations_count | 4 |
| best_oa_location.id | doi:10.3389/fnins.2018.00809 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S115201632 |
| best_oa_location.source.issn | 1662-453X, 1662-4548 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1662-453X |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Frontiers in Neuroscience |
| best_oa_location.source.host_organization | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_name | Frontiers Media |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| best_oa_location.source.host_organization_lineage_names | Frontiers Media |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdf |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Frontiers in Neuroscience |
| best_oa_location.landing_page_url | https://doi.org/10.3389/fnins.2018.00809 |
| primary_location.id | doi:10.3389/fnins.2018.00809 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S115201632 |
| primary_location.source.issn | 1662-453X, 1662-4548 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1662-453X |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Frontiers in Neuroscience |
| primary_location.source.host_organization | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_name | Frontiers Media |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320527 |
| primary_location.source.host_organization_lineage_names | Frontiers Media |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://www.frontiersin.org/articles/10.3389/fnins.2018.00809/pdf |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Frontiers in Neuroscience |
| primary_location.landing_page_url | https://doi.org/10.3389/fnins.2018.00809 |
| publication_date | 2018-11-13 |
| publication_year | 2018 |
| referenced_works | https://openalex.org/W2170131944, https://openalex.org/W2000092927, https://openalex.org/W2136668246, https://openalex.org/W2147264168, https://openalex.org/W3021868084, https://openalex.org/W1963859198, https://openalex.org/W1977589043, https://openalex.org/W2178223022, https://openalex.org/W2073254869, https://openalex.org/W775869585, https://openalex.org/W2144178926, https://openalex.org/W2011284222, https://openalex.org/W2540069146, https://openalex.org/W2001516747, https://openalex.org/W1988414580, https://openalex.org/W6677184319, https://openalex.org/W2084572796, https://openalex.org/W1556947891, https://openalex.org/W2102204212, https://openalex.org/W2170392470, https://openalex.org/W2046393968, https://openalex.org/W2594656551, https://openalex.org/W2093266575, https://openalex.org/W2108350279, https://openalex.org/W2059851411, https://openalex.org/W2154329035, https://openalex.org/W2752044543, https://openalex.org/W6783360068, https://openalex.org/W2005155588, https://openalex.org/W2159472025, https://openalex.org/W2565446727, https://openalex.org/W2014225800, https://openalex.org/W2565543439, https://openalex.org/W2151430344, https://openalex.org/W2339862654, https://openalex.org/W2038448410, https://openalex.org/W3124788457, https://openalex.org/W2017226747, https://openalex.org/W1968183133, https://openalex.org/W2396988103, https://openalex.org/W2296750399, https://openalex.org/W2032621414, https://openalex.org/W4256365489, https://openalex.org/W2106835861, https://openalex.org/W2579951724, https://openalex.org/W2607370168, https://openalex.org/W2316666697, https://openalex.org/W1981022620, https://openalex.org/W2536553422, https://openalex.org/W2171707680, https://openalex.org/W2053761315, https://openalex.org/W2142221782, https://openalex.org/W1514669862, https://openalex.org/W6606539394, https://openalex.org/W194485135, https://openalex.org/W1862394037, https://openalex.org/W2167918466, https://openalex.org/W1977231215, https://openalex.org/W2102490765, https://openalex.org/W2053237333, https://openalex.org/W1977784344, https://openalex.org/W2120390927, https://openalex.org/W2096198799, https://openalex.org/W2012619887, https://openalex.org/W2005618907, https://openalex.org/W2344391295, https://openalex.org/W3082783884, https://openalex.org/W1508729303, https://openalex.org/W2117373688, https://openalex.org/W160785014, https://openalex.org/W2037727848, https://openalex.org/W2523666842 |
| referenced_works_count | 72 |
| abstract_inverted_index.a | 112, 182, 226 |
| abstract_inverted_index.In | 65, 194 |
| abstract_inverted_index.an | 4, 127, 201 |
| abstract_inverted_index.as | 126, 225 |
| abstract_inverted_index.at | 44 |
| abstract_inverted_index.be | 223 |
| abstract_inverted_index.by | 111 |
| abstract_inverted_index.in | 34, 120, 162, 190, 209, 247, 251 |
| abstract_inverted_index.is | 37, 123, 175 |
| abstract_inverted_index.of | 25, 41, 108, 129, 186, 212, 241, 261 |
| abstract_inverted_index.on | 28, 138 |
| abstract_inverted_index.or | 132, 271 |
| abstract_inverted_index.to | 6, 75, 92, 237 |
| abstract_inverted_index.(90 | 214 |
| abstract_inverted_index.EEG | 68, 81, 94, 156, 242 |
| abstract_inverted_index.Our | 166 |
| abstract_inverted_index.SWA | 161, 208 |
| abstract_inverted_index.The | 152 |
| abstract_inverted_index.and | 14, 51, 83, 146, 160, 206, 232, 269, 276 |
| abstract_inverted_index.are | 235 |
| abstract_inverted_index.can | 47 |
| abstract_inverted_index.for | 104, 229 |
| abstract_inverted_index.has | 58 |
| abstract_inverted_index.may | 256 |
| abstract_inverted_index.min | 215 |
| abstract_inverted_index.one | 32 |
| abstract_inverted_index.the | 77, 106, 191, 196, 210, 239, 259, 262 |
| abstract_inverted_index.two | 139 |
| abstract_inverted_index.was | 73, 90, 135 |
| abstract_inverted_index.Fast | 142 |
| abstract_inverted_index.SWA, | 270 |
| abstract_inverted_index.Slow | 116 |
| abstract_inverted_index.also | 257 |
| abstract_inverted_index.been | 60 |
| abstract_inverted_index.from | 70 |
| abstract_inverted_index.mode | 149 |
| abstract_inverted_index.role | 185 |
| abstract_inverted_index.some | 23 |
| abstract_inverted_index.that | 18, 38, 169 |
| abstract_inverted_index.this | 57, 66 |
| abstract_inverted_index.thus | 222 |
| abstract_inverted_index.used | 74, 125 |
| abstract_inverted_index.wake | 155, 204 |
| abstract_inverted_index.wave | 117 |
| abstract_inverted_index.were | 102, 164 |
| abstract_inverted_index.with | 62, 177, 249 |
| abstract_inverted_index.(EEG) | 2 |
| abstract_inverted_index.(FFT) | 145 |
| abstract_inverted_index.(MSE) | 89 |
| abstract_inverted_index.(SWA) | 119 |
| abstract_inverted_index.Based | 27 |
| abstract_inverted_index.Sleep | 0 |
| abstract_inverted_index.after | 98, 216 |
| abstract_inverted_index.based | 137 |
| abstract_inverted_index.brain | 42, 109, 267 |
| abstract_inverted_index.could | 21, 221 |
| abstract_inverted_index.data. | 64 |
| abstract_inverted_index.depth | 131 |
| abstract_inverted_index.lower | 39, 170 |
| abstract_inverted_index.never | 59 |
| abstract_inverted_index.onset | 174, 246 |
| abstract_inverted_index.sleep | 8, 35, 49, 54, 84, 130, 133, 158, 163, 173, 179, 213, 217, 230, 245, 252 |
| abstract_inverted_index.solid | 63 |
| abstract_inverted_index.state | 46 |
| abstract_inverted_index.study | 7 |
| abstract_inverted_index.waves | 43 |
| abstract_inverted_index.which | 122 |
| abstract_inverted_index.whose | 10 |
| abstract_inverted_index.(while | 100 |
| abstract_inverted_index.awake) | 103 |
| abstract_inverted_index.before | 172, 244 |
| abstract_inverted_index.causal | 263 |
| abstract_inverted_index.index, | 114 |
| abstract_inverted_index.method | 199 |
| abstract_inverted_index.metric | 220 |
| abstract_inverted_index.nature | 16 |
| abstract_inverted_index.normal | 275 |
| abstract_inverted_index.sleep, | 121 |
| abstract_inverted_index.sleep. | 26 |
| abstract_inverted_index.study, | 67 |
| abstract_inverted_index.(EEMD). | 151 |
| abstract_inverted_index.Fourier | 143 |
| abstract_inverted_index.Further | 254 |
| abstract_inverted_index.applied | 91 |
| abstract_inverted_index.between | 79, 154, 203, 265, 274 |
| abstract_inverted_index.conduct | 272 |
| abstract_inverted_index.entropy | 87 |
| abstract_inverted_index.examine | 238, 258 |
| abstract_inverted_index.further | 52, 233 |
| abstract_inverted_index.healthy | 71 |
| abstract_inverted_index.implies | 17 |
| abstract_inverted_index.improve | 53 |
| abstract_inverted_index.onset). | 218 |
| abstract_inverted_index.reduced | 187 |
| abstract_inverted_index.results | 167 |
| abstract_inverted_index.signals | 95 |
| abstract_inverted_index.studied | 61 |
| abstract_inverted_index.studies | 234, 255 |
| abstract_inverted_index.uncover | 22 |
| abstract_inverted_index.However, | 56 |
| abstract_inverted_index.activity | 118 |
| abstract_inverted_index.analysis | 88 |
| abstract_inverted_index.chaotic, | 11 |
| abstract_inverted_index.commonly | 124 |
| abstract_inverted_index.complex, | 13 |
| abstract_inverted_index.dynamic, | 12 |
| abstract_inverted_index.dynamics | 110 |
| abstract_inverted_index.ensemble | 147 |
| abstract_inverted_index.latency, | 159, 180 |
| abstract_inverted_index.medicine | 36 |
| abstract_inverted_index.methods, | 140 |
| abstract_inverted_index.proposed | 113, 197 |
| abstract_inverted_index.provides | 3 |
| abstract_inverted_index.quality. | 55, 85 |
| abstract_inverted_index.recorded | 96 |
| abstract_inverted_index.revealed | 200 |
| abstract_inverted_index.subjects | 72, 101 |
| abstract_inverted_index.addition, | 195 |
| abstract_inverted_index.beginning | 211 |
| abstract_inverted_index.collected | 69 |
| abstract_inverted_index.decreased | 178 |
| abstract_inverted_index.empirical | 148 |
| abstract_inverted_index.indicator | 128, 228 |
| abstract_inverted_index.light-off | 99 |
| abstract_inverted_index.measuring | 105 |
| abstract_inverted_index.mechanism | 24 |
| abstract_inverted_index.potential | 183, 227 |
| abstract_inverted_index.pre-sleep | 45, 80, 93, 188, 266 |
| abstract_inverted_index.theories, | 31 |
| abstract_inverted_index.transform | 144 |
| abstract_inverted_index.Complexity | 219 |
| abstract_inverted_index.EEMD-based | 198 |
| abstract_inverted_index.Multiscale | 86 |
| abstract_inverted_index.approaches | 20 |
| abstract_inverted_index.associated | 176 |
| abstract_inverted_index.complexity | 30, 40, 82, 171, 189, 205, 243, 268 |
| abstract_inverted_index.considered | 224 |
| abstract_inverted_index.difficulty | 250 |
| abstract_inverted_index.encouraged | 236 |
| abstract_inverted_index.evaluated. | 165 |
| abstract_inverted_index.facilitate | 48 |
| abstract_inverted_index.hypothesis | 33 |
| abstract_inverted_index.indicating | 181 |
| abstract_inverted_index.initiation | 50 |
| abstract_inverted_index.intensity, | 134 |
| abstract_inverted_index.mechanisms | 260 |
| abstract_inverted_index.non-linear | 19 |
| abstract_inverted_index.quantified | 136, 207 |
| abstract_inverted_index.wake-sleep | 192 |
| abstract_inverted_index.application | 240 |
| abstract_inverted_index.association | 78, 202 |
| abstract_inverted_index.comparisons | 273 |
| abstract_inverted_index.complexity, | 157 |
| abstract_inverted_index.conditions. | 278 |
| abstract_inverted_index.dissipative | 15 |
| abstract_inverted_index.immediately | 97 |
| abstract_inverted_index.initiation. | 253 |
| abstract_inverted_index.investigate | 76 |
| abstract_inverted_index.opportunity | 5 |
| abstract_inverted_index.populations | 248 |
| abstract_inverted_index.traditional | 141 |
| abstract_inverted_index.transition. | 193 |
| abstract_inverted_index.associations | 153 |
| abstract_inverted_index.complexities | 107 |
| abstract_inverted_index.demonstrated | 168 |
| abstract_inverted_index.facilitating | 184 |
| abstract_inverted_index.pathological | 277 |
| abstract_inverted_index.decomposition | 150 |
| abstract_inverted_index.relationships | 264 |
| abstract_inverted_index.interventions, | 231 |
| abstract_inverted_index.scientifically, | 9 |
| abstract_inverted_index.well-established | 29 |
| abstract_inverted_index.CI<sub>1-30</sub>. | 115 |
| abstract_inverted_index.electroencephalography | 1 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5022687558, https://openalex.org/A5045696542 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I161716053 |
| citation_normalized_percentile.value | 0.75323628 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |