Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory
Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy c...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-11, Vol.15 (11), p.e0241991-e0241991 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0241991 |
|---|---|
| container_issue | 11 |
| container_start_page | e0241991 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Fasmer, Ole Bernt Fasmer, Erlend Eindride Mjeldheim, Kristin Førland, Wenche Syrstad, Vigdis Elin Giæver Jakobsen, Petter Berle, Jan Øystein Henriksen, Tone E G Sepasdar, Zahra Hauge, Erik R Oedegaard, Ketil J |
| description | Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy controls and clinical controls with mood and anxiety disorders. Wrist-worn actigraphs were used to record motor activity in a sample of 81 patients and 30 healthy controls. Time series from registrations in the morning and evening were analyzed using measures of variability, complexity and a newly developed method, the similarity algorithm, based on transforming time series into graphs. In healthy controls the evening registrations showed higher variability and lower complexity compared to morning registrations, however this was evident only in the female controls. In the two patient groups the same measures were not significantly different, with one exception, the graph measure bridges. This was the measure that most clearly separated morning and evening registrations and was significantly different both in healthy controls and in patients with a diagnosis of ADHD. These findings suggest that actigraph registrations, combined with mathematical methods based on graph theory, may be used to elucidate the mechanisms responsible for the diurnal regulation of motor activity. |
| doi_str_mv | 10.1371/journal.pone.0241991 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2458949857</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A641043230</galeid><doaj_id>oai_doaj_org_article_bc86fd0071184eefa1b36bc2145d36f0</doaj_id><sourcerecordid>A641043230</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-166eba77b43c0612deaa7f53f91866fcfd673156174a4f84f69dff28d94f216c3</originalsourceid><addsrcrecordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0WLHjpPcIFUrsEqTJvF1azn-aFwlcWc7hfLrcdpsatAukC9s2c_7-vj4nCR5ieAc4Rx92NjedbyZb22n5jAlqCzRo-QclTid0RTixyfrs-SZ9xsIM1xQ-jQ5wxhRijN4nlRLc7ABO-4MD8Z2wGrQ2mAd4CKYnQl7YDrAZd8EsFheLcE2YqoLHvCo2_9REvwyoQatCrWVHmhnW7B2fFuDUCvr9s-TJ5o3Xr0Y54vkx-dP3y-vZtc3X1aXi-uZoGUaZjEiVfE8rwgWkKJUKs5znWFdohi0FlrSHKOMopxwoguiaSm1TgtZEp0iKvBF8vrou22sZ2N6PEtJVpSkLLI8EqsjIS3fsK0zLXd7Zrlhhw3r1oy7YESjWCUKqiWEOUIFUUpzVGFaiRSRTGKqYfT6ON7WV62SImbE8WZiOj3pTM3WdsdymqUYZ9Hg3Wjg7G2vfGCt8UI1De-U7Q9xlzjLihxF9M0_6MOvG6k1jw8wnbbxXjGYsgUlCBKc4iHu-QNUHFK1RsRa0ibuTwTvJ4LIBPU7rHnvPVt9-_r_7M3PKfv2hK0Vb0LtbdMPNeinIDmCwlnvndL3SUaQDa1wlw02tAIbWyHKXp1-0L3orvbxX9BfA8E</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2458949857</pqid></control><display><type>article</type><title>Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Fasmer, Ole Bernt ; Fasmer, Erlend Eindride ; Mjeldheim, Kristin ; Førland, Wenche ; Syrstad, Vigdis Elin Giæver ; Jakobsen, Petter ; Berle, Jan Øystein ; Henriksen, Tone E G ; Sepasdar, Zahra ; Hauge, Erik R ; Oedegaard, Ketil J</creator><contributor>Lin, Pan</contributor><creatorcontrib>Fasmer, Ole Bernt ; Fasmer, Erlend Eindride ; Mjeldheim, Kristin ; Førland, Wenche ; Syrstad, Vigdis Elin Giæver ; Jakobsen, Petter ; Berle, Jan Øystein ; Henriksen, Tone E G ; Sepasdar, Zahra ; Hauge, Erik R ; Oedegaard, Ketil J ; Lin, Pan</creatorcontrib><description>Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy controls and clinical controls with mood and anxiety disorders. Wrist-worn actigraphs were used to record motor activity in a sample of 81 patients and 30 healthy controls. Time series from registrations in the morning and evening were analyzed using measures of variability, complexity and a newly developed method, the similarity algorithm, based on transforming time series into graphs. In healthy controls the evening registrations showed higher variability and lower complexity compared to morning registrations, however this was evident only in the female controls. In the two patient groups the same measures were not significantly different, with one exception, the graph measure bridges. This was the measure that most clearly separated morning and evening registrations and was significantly different both in healthy controls and in patients with a diagnosis of ADHD. These findings suggest that actigraph registrations, combined with mathematical methods based on graph theory, may be used to elucidate the mechanisms responsible for the diurnal regulation of motor activity.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0241991</identifier><identifier>PMID: 33166350</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Adults ; Age ; Aged ; Algorithms ; Anxiety disorders ; Attention Deficit Disorder with Hyperactivity - physiopathology ; Attention deficit hyperactivity disorder ; Biology and Life Sciences ; Circadian Rhythm ; Clinical medicine ; Complexity ; Computer and Information Sciences ; Demographic aspects ; Development and progression ; Diagnosis ; Diurnal variations ; Female ; Graph theory ; Hospitals ; Human motion ; Humans ; Hyperactivity ; Impulsive behavior ; Impulsivity ; Male ; Medicine ; Medicine and Health Sciences ; Middle Aged ; Mood ; Morning ; Motor Activity ; Motor skills ; Neurodevelopmental disorders ; Physical Sciences ; Psychiatric-mental health nursing ; Psychiatry ; Psychotropic drugs ; Research and Analysis Methods ; Social Sciences ; Time series ; Wrist ; Young Adult</subject><ispartof>PloS one, 2020-11, Vol.15 (11), p.e0241991-e0241991</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Fasmer et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2020 Fasmer et al 2020 Fasmer et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-166eba77b43c0612deaa7f53f91866fcfd673156174a4f84f69dff28d94f216c3</citedby><cites>FETCH-LOGICAL-c692t-166eba77b43c0612deaa7f53f91866fcfd673156174a4f84f69dff28d94f216c3</cites><orcidid>0000-0002-5075-9563</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652335/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7652335/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33166350$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Lin, Pan</contributor><creatorcontrib>Fasmer, Ole Bernt</creatorcontrib><creatorcontrib>Fasmer, Erlend Eindride</creatorcontrib><creatorcontrib>Mjeldheim, Kristin</creatorcontrib><creatorcontrib>Førland, Wenche</creatorcontrib><creatorcontrib>Syrstad, Vigdis Elin Giæver</creatorcontrib><creatorcontrib>Jakobsen, Petter</creatorcontrib><creatorcontrib>Berle, Jan Øystein</creatorcontrib><creatorcontrib>Henriksen, Tone E G</creatorcontrib><creatorcontrib>Sepasdar, Zahra</creatorcontrib><creatorcontrib>Hauge, Erik R</creatorcontrib><creatorcontrib>Oedegaard, Ketil J</creatorcontrib><title>Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy controls and clinical controls with mood and anxiety disorders. Wrist-worn actigraphs were used to record motor activity in a sample of 81 patients and 30 healthy controls. Time series from registrations in the morning and evening were analyzed using measures of variability, complexity and a newly developed method, the similarity algorithm, based on transforming time series into graphs. In healthy controls the evening registrations showed higher variability and lower complexity compared to morning registrations, however this was evident only in the female controls. In the two patient groups the same measures were not significantly different, with one exception, the graph measure bridges. This was the measure that most clearly separated morning and evening registrations and was significantly different both in healthy controls and in patients with a diagnosis of ADHD. These findings suggest that actigraph registrations, combined with mathematical methods based on graph theory, may be used to elucidate the mechanisms responsible for the diurnal regulation of motor activity.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Algorithms</subject><subject>Anxiety disorders</subject><subject>Attention Deficit Disorder with Hyperactivity - physiopathology</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Biology and Life Sciences</subject><subject>Circadian Rhythm</subject><subject>Clinical medicine</subject><subject>Complexity</subject><subject>Computer and Information Sciences</subject><subject>Demographic aspects</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Diurnal variations</subject><subject>Female</subject><subject>Graph theory</subject><subject>Hospitals</subject><subject>Human motion</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Impulsive behavior</subject><subject>Impulsivity</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Mood</subject><subject>Morning</subject><subject>Motor Activity</subject><subject>Motor skills</subject><subject>Neurodevelopmental disorders</subject><subject>Physical Sciences</subject><subject>Psychiatric-mental health nursing</subject><subject>Psychiatry</subject><subject>Psychotropic drugs</subject><subject>Research and Analysis Methods</subject><subject>Social Sciences</subject><subject>Time series</subject><subject>Wrist</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYmPwDxBYQkJw0WLHjpPcIFUrsEqTJvF1azn-aFwlcWc7hfLrcdpsatAukC9s2c_7-vj4nCR5ieAc4Rx92NjedbyZb22n5jAlqCzRo-QclTid0RTixyfrs-SZ9xsIM1xQ-jQ5wxhRijN4nlRLc7ABO-4MD8Z2wGrQ2mAd4CKYnQl7YDrAZd8EsFheLcE2YqoLHvCo2_9REvwyoQatCrWVHmhnW7B2fFuDUCvr9s-TJ5o3Xr0Y54vkx-dP3y-vZtc3X1aXi-uZoGUaZjEiVfE8rwgWkKJUKs5znWFdohi0FlrSHKOMopxwoguiaSm1TgtZEp0iKvBF8vrou22sZ2N6PEtJVpSkLLI8EqsjIS3fsK0zLXd7Zrlhhw3r1oy7YESjWCUKqiWEOUIFUUpzVGFaiRSRTGKqYfT6ON7WV62SImbE8WZiOj3pTM3WdsdymqUYZ9Hg3Wjg7G2vfGCt8UI1De-U7Q9xlzjLihxF9M0_6MOvG6k1jw8wnbbxXjGYsgUlCBKc4iHu-QNUHFK1RsRa0ibuTwTvJ4LIBPU7rHnvPVt9-_r_7M3PKfv2hK0Vb0LtbdMPNeinIDmCwlnvndL3SUaQDa1wlw02tAIbWyHKXp1-0L3orvbxX9BfA8E</recordid><startdate>20201109</startdate><enddate>20201109</enddate><creator>Fasmer, Ole Bernt</creator><creator>Fasmer, Erlend Eindride</creator><creator>Mjeldheim, Kristin</creator><creator>Førland, Wenche</creator><creator>Syrstad, Vigdis Elin Giæver</creator><creator>Jakobsen, Petter</creator><creator>Berle, Jan Øystein</creator><creator>Henriksen, Tone E G</creator><creator>Sepasdar, Zahra</creator><creator>Hauge, Erik R</creator><creator>Oedegaard, Ketil J</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5075-9563</orcidid></search><sort><creationdate>20201109</creationdate><title>Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory</title><author>Fasmer, Ole Bernt ; Fasmer, Erlend Eindride ; Mjeldheim, Kristin ; Førland, Wenche ; Syrstad, Vigdis Elin Giæver ; Jakobsen, Petter ; Berle, Jan Øystein ; Henriksen, Tone E G ; Sepasdar, Zahra ; Hauge, Erik R ; Oedegaard, Ketil J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-166eba77b43c0612deaa7f53f91866fcfd673156174a4f84f69dff28d94f216c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Algorithms</topic><topic>Anxiety disorders</topic><topic>Attention Deficit Disorder with Hyperactivity - physiopathology</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Biology and Life Sciences</topic><topic>Circadian Rhythm</topic><topic>Clinical medicine</topic><topic>Complexity</topic><topic>Computer and Information Sciences</topic><topic>Demographic aspects</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Diurnal variations</topic><topic>Female</topic><topic>Graph theory</topic><topic>Hospitals</topic><topic>Human motion</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Impulsive behavior</topic><topic>Impulsivity</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Mood</topic><topic>Morning</topic><topic>Motor Activity</topic><topic>Motor skills</topic><topic>Neurodevelopmental disorders</topic><topic>Physical Sciences</topic><topic>Psychiatric-mental health nursing</topic><topic>Psychiatry</topic><topic>Psychotropic drugs</topic><topic>Research and Analysis Methods</topic><topic>Social Sciences</topic><topic>Time series</topic><topic>Wrist</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fasmer, Ole Bernt</creatorcontrib><creatorcontrib>Fasmer, Erlend Eindride</creatorcontrib><creatorcontrib>Mjeldheim, Kristin</creatorcontrib><creatorcontrib>Førland, Wenche</creatorcontrib><creatorcontrib>Syrstad, Vigdis Elin Giæver</creatorcontrib><creatorcontrib>Jakobsen, Petter</creatorcontrib><creatorcontrib>Berle, Jan Øystein</creatorcontrib><creatorcontrib>Henriksen, Tone E G</creatorcontrib><creatorcontrib>Sepasdar, Zahra</creatorcontrib><creatorcontrib>Hauge, Erik R</creatorcontrib><creatorcontrib>Oedegaard, Ketil J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fasmer, Ole Bernt</au><au>Fasmer, Erlend Eindride</au><au>Mjeldheim, Kristin</au><au>Førland, Wenche</au><au>Syrstad, Vigdis Elin Giæver</au><au>Jakobsen, Petter</au><au>Berle, Jan Øystein</au><au>Henriksen, Tone E G</au><au>Sepasdar, Zahra</au><au>Hauge, Erik R</au><au>Oedegaard, Ketil J</au><au>Lin, Pan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-11-09</date><risdate>2020</risdate><volume>15</volume><issue>11</issue><spage>e0241991</spage><epage>e0241991</epage><pages>e0241991-e0241991</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Attention-deficit /hyperactivity disorder (ADHD) is a common neurodevelopmental syndrome characterized by age-inappropriate levels of motor activity, impulsivity and attention. The aim of the present study was to study diurnal variation of motor activity in adult ADHD patients, compared to healthy controls and clinical controls with mood and anxiety disorders. Wrist-worn actigraphs were used to record motor activity in a sample of 81 patients and 30 healthy controls. Time series from registrations in the morning and evening were analyzed using measures of variability, complexity and a newly developed method, the similarity algorithm, based on transforming time series into graphs. In healthy controls the evening registrations showed higher variability and lower complexity compared to morning registrations, however this was evident only in the female controls. In the two patient groups the same measures were not significantly different, with one exception, the graph measure bridges. This was the measure that most clearly separated morning and evening registrations and was significantly different both in healthy controls and in patients with a diagnosis of ADHD. These findings suggest that actigraph registrations, combined with mathematical methods based on graph theory, may be used to elucidate the mechanisms responsible for the diurnal regulation of motor activity.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33166350</pmid><doi>10.1371/journal.pone.0241991</doi><tpages>e0241991</tpages><orcidid>https://orcid.org/0000-0002-5075-9563</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-11, Vol.15 (11), p.e0241991-e0241991 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2458949857 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adolescent Adult Adults Age Aged Algorithms Anxiety disorders Attention Deficit Disorder with Hyperactivity - physiopathology Attention deficit hyperactivity disorder Biology and Life Sciences Circadian Rhythm Clinical medicine Complexity Computer and Information Sciences Demographic aspects Development and progression Diagnosis Diurnal variations Female Graph theory Hospitals Human motion Humans Hyperactivity Impulsive behavior Impulsivity Male Medicine Medicine and Health Sciences Middle Aged Mood Morning Motor Activity Motor skills Neurodevelopmental disorders Physical Sciences Psychiatric-mental health nursing Psychiatry Psychotropic drugs Research and Analysis Methods Social Sciences Time series Wrist Young Adult |
| title | Diurnal variation of motor activity in adult ADHD patients analyzed with methods from graph theory |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T02%3A16%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diurnal%20variation%20of%20motor%20activity%20in%20adult%20ADHD%20patients%20analyzed%20with%20methods%20from%20graph%20theory&rft.jtitle=PloS%20one&rft.au=Fasmer,%20Ole%20Bernt&rft.date=2020-11-09&rft.volume=15&rft.issue=11&rft.spage=e0241991&rft.epage=e0241991&rft.pages=e0241991-e0241991&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0241991&rft_dat=%3Cgale_plos_%3EA641043230%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2458949857&rft_id=info:pmid/33166350&rft_galeid=A641043230&rft_doaj_id=oai_doaj_org_article_bc86fd0071184eefa1b36bc2145d36f0&rfr_iscdi=true |