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Sleep–wake variations of electrodermal activity in bipolar disorder.

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Title: Sleep–wake variations of electrodermal activity in bipolar disorder.
Authors: Valenzuela‐Pascual, Clàudia (AUTHOR), Mas, Ariadna (AUTHOR), Borràs, Roger (AUTHOR), Anmella, Gerard (AUTHOR), Sanabra, Miriam (AUTHOR), González‐Campos, Meritxell (AUTHOR), Valentí, Marc (AUTHOR), Pacchiarotti, Isabella (AUTHOR), Benabarre, Antoni (AUTHOR), Grande, Iria (AUTHOR), De Prisco, Michele (AUTHOR), Oliva, Vincenzo (AUTHOR), Bastidas, Anna (AUTHOR), Agasi, Isabel (AUTHOR), Young, Allan H. (AUTHOR), Garriga, Marina (AUTHOR), Murru, Andrea (AUTHOR), Corponi, Filippo (AUTHOR), Li, Bryan M. (AUTHOR), de Looff, Peter (AUTHOR)
Source: Acta Psychiatrica Scandinavica. Mar2025, Vol. 151 Issue 3, p412-425. 14p.
Subjects: Sympathetic nervous system, Bipolar disorder, Skin temperature, Parasympatholytic agents, Wakefulness
Abstract: Background: Affective states influence the sympathetic nervous system, inducing variations in electrodermal activity (EDA), however, EDA association with bipolar disorder (BD) remains uncertain in real‐world settings due to confounders like physical activity and temperature. We analysed EDA separately during sleep and wakefulness due to varying confounders and potential differences in mood state discrimination capacities. Methods: We monitored EDA from 102 participants with BD including 35 manic, 29 depressive, 38 euthymic patients, and 38 healthy controls (HC), for 48 h. Fifteen EDA features were inferred by mixed‐effect models for repeated measures considering sleep state, group and covariates. Results: Thirteen EDA feature models were significantly influenced by sleep state, notably including phasic peaks (p < 0.001). During wakefulness, phasic peaks showed different values for mania (M [SD] = 6.49 [5.74, 7.23]), euthymia (5.89 [4.83, 6.94]), HC (3.04 [1.65, 4.42]), and depression (3.00 [2.07, 3.92]). Four phasic features during wakefulness better discriminated between HC and mania or euthymia, and between depression and euthymia or mania, compared to sleep. Mixed symptoms, average skin temperature, and anticholinergic medication affected the models, while sex and age did not. Conclusion: EDA measured from awake recordings better distinguished between BD states than sleep recordings, when controlled by confounders. [ABSTRACT FROM AUTHOR]
Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Sleep–wake variations of electrodermal activity in bipolar disorder.
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Acta+Psychiatrica+Scandinavica%22&quot;&gt;Acta Psychiatrica Scandinavica&lt;/searchLink&gt;. Mar2025, Vol. 151 Issue 3, p412-425. 14p.
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  Data: Background: Affective states influence the sympathetic nervous system, inducing variations in electrodermal activity (EDA), however, EDA association with bipolar disorder (BD) remains uncertain in real‐world settings due to confounders like physical activity and temperature. We analysed EDA separately during sleep and wakefulness due to varying confounders and potential differences in mood state discrimination capacities. Methods: We monitored EDA from 102 participants with BD including 35 manic, 29 depressive, 38 euthymic patients, and 38 healthy controls (HC), for 48 h. Fifteen EDA features were inferred by mixed‐effect models for repeated measures considering sleep state, group and covariates. Results: Thirteen EDA feature models were significantly influenced by sleep state, notably including phasic peaks (p &lt; 0.001). During wakefulness, phasic peaks showed different values for mania (M [SD] = 6.49 [5.74, 7.23]), euthymia (5.89 [4.83, 6.94]), HC (3.04 [1.65, 4.42]), and depression (3.00 [2.07, 3.92]). Four phasic features during wakefulness better discriminated between HC and mania or euthymia, and between depression and euthymia or mania, compared to sleep. Mixed symptoms, average skin temperature, and anticholinergic medication affected the models, while sex and age did not. Conclusion: EDA measured from awake recordings better distinguished between BD states than sleep recordings, when controlled by confounders. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Acta Psychiatrica Scandinavica is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1111/acps.13718
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        Text: English
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