Scaling behavior of human locomotor activity amplitude: association with bipolar disorder
Scale invariance is a feature of complex biological systems, and abnormality of multi-scale behaviour may serve as an indicator of pathology. The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of huma...
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description | Scale invariance is a feature of complex biological systems, and abnormality of multi-scale behaviour may serve as an indicator of pathology. The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of human locomotor activity. SCN also is implicated in the pathophysiology of bipolar disorder (BD) or manic-depressive illness, a severe, episodic disorder of mood, cognition and behaviour. Here, we investigated scaling behaviour in actigraphically recorded human motility data for potential indicators of BD, particularly its manic phase. A proposed index of scaling behaviour (Vulnerability Index [VI]) derived from such data distinguished between: [i] healthy subjects at high versus low risk of mood disorders; [ii] currently clinically stable BD patients versus matched controls; and [iii] among clinical states in BD patients. |
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The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of human locomotor activity. SCN also is implicated in the pathophysiology of bipolar disorder (BD) or manic-depressive illness, a severe, episodic disorder of mood, cognition and behaviour. Here, we investigated scaling behaviour in actigraphically recorded human motility data for potential indicators of BD, particularly its manic phase. A proposed index of scaling behaviour (Vulnerability Index [VI]) derived from such data distinguished between: [i] healthy subjects at high versus low risk of mood disorders; [ii] currently clinically stable BD patients versus matched controls; and [iii] among clinical states in BD patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0020650</identifier><identifier>PMID: 21655197</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Alzheimer's disease ; Alzheimers disease ; Archives & records ; Artificial neural networks ; Biology ; Bipolar disorder ; Bipolar Disorder - physiopathology ; Circadian rhythm ; Cognition ; Consortia ; Emotions ; Female ; Human behavior ; Humans ; Hypothalamus ; Locomotor activity ; Male ; Mathematics ; Medical research ; Medicine ; Mental depression ; Mental disorders ; Middle Aged ; Mood ; Motility ; Motor Activity - physiology ; Neural networks ; Neurology ; Neurosciences ; Nuclei ; Patients ; Physics ; Physiology ; Population ; Psychiatry ; Psychosis ; Scale invariance ; Scaling ; Schizophrenia ; Social and Behavioral Sciences ; Suprachiasmatic nucleus ; System theory ; Young Adult ; Young adults</subject><ispartof>PloS one, 2011-05, Vol.6 (5), p.e20650-e20650</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Indic et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://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>Indic et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-8faae1f00adf354f2c79b0077810aceadfb35d40eeab23a3d4ece92027124d523</citedby><cites>FETCH-LOGICAL-c691t-8faae1f00adf354f2c79b0077810aceadfb35d40eeab23a3d4ece92027124d523</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3105113/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3105113/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21655197$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Perc, Matjaz</contributor><creatorcontrib>Indic, Premananda</creatorcontrib><creatorcontrib>Salvatore, Paola</creatorcontrib><creatorcontrib>Maggini, Carlo</creatorcontrib><creatorcontrib>Ghidini, Stefano</creatorcontrib><creatorcontrib>Ferraro, Gabriella</creatorcontrib><creatorcontrib>Baldessarini, Ross J</creatorcontrib><creatorcontrib>Murray, Greg</creatorcontrib><title>Scaling behavior of human locomotor activity amplitude: association with bipolar disorder</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Scale invariance is a feature of complex biological systems, and abnormality of multi-scale behaviour may serve as an indicator of pathology. The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of human locomotor activity. SCN also is implicated in the pathophysiology of bipolar disorder (BD) or manic-depressive illness, a severe, episodic disorder of mood, cognition and behaviour. Here, we investigated scaling behaviour in actigraphically recorded human motility data for potential indicators of BD, particularly its manic phase. A proposed index of scaling behaviour (Vulnerability Index [VI]) derived from such data distinguished between: [i] healthy subjects at high versus low risk of mood disorders; [ii] currently clinically stable BD patients versus matched controls; and [iii] among clinical states in BD patients.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Archives & records</subject><subject>Artificial neural networks</subject><subject>Biology</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - physiopathology</subject><subject>Circadian rhythm</subject><subject>Cognition</subject><subject>Consortia</subject><subject>Emotions</subject><subject>Female</subject><subject>Human behavior</subject><subject>Humans</subject><subject>Hypothalamus</subject><subject>Locomotor activity</subject><subject>Male</subject><subject>Mathematics</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Mental depression</subject><subject>Mental disorders</subject><subject>Middle Aged</subject><subject>Mood</subject><subject>Motility</subject><subject>Motor Activity - 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The hypothalamic suprachiasmatic nucleus (SCN) is a major node in central neural networks responsible for regulating multi-scale behaviour in measures of human locomotor activity. SCN also is implicated in the pathophysiology of bipolar disorder (BD) or manic-depressive illness, a severe, episodic disorder of mood, cognition and behaviour. Here, we investigated scaling behaviour in actigraphically recorded human motility data for potential indicators of BD, particularly its manic phase. A proposed index of scaling behaviour (Vulnerability Index [VI]) derived from such data distinguished between: [i] healthy subjects at high versus low risk of mood disorders; [ii] currently clinically stable BD patients versus matched controls; and [iii] among clinical states in BD patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21655197</pmid><doi>10.1371/journal.pone.0020650</doi><tpages>e20650</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Age Alzheimer's disease Alzheimers disease Archives & records Artificial neural networks Biology Bipolar disorder Bipolar Disorder - physiopathology Circadian rhythm Cognition Consortia Emotions Female Human behavior Humans Hypothalamus Locomotor activity Male Mathematics Medical research Medicine Mental depression Mental disorders Middle Aged Mood Motility Motor Activity - physiology Neural networks Neurology Neurosciences Nuclei Patients Physics Physiology Population Psychiatry Psychosis Scale invariance Scaling Schizophrenia Social and Behavioral Sciences Suprachiasmatic nucleus System theory Young Adult Young adults |
title | Scaling behavior of human locomotor activity amplitude: association with bipolar disorder |
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