{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T06:02:56Z","timestamp":1780034576520,"version":"3.53.1"},"reference-count":40,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T00:00:00Z","timestamp":1779753600000},"content-version":"vor","delay-in-days":25,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Eur J of Neuroscience"],"published-print":{"date-parts":[[2026,5]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Freezing of gait (FOG) is one of the most debilitating symptoms experienced by people with Parkinson's Disease. Cueing strategies have been shown to help people overcome FOG. Current systems do not adequately capture the complexity of FOG and often struggle to differentiate it from similar movement patterns, such as voluntary stops. FOG is also associated with complex psychological and physiological processes, suggesting that changes in autonomic nervous system activity may accompany freezing episodes. Including sensors that measure autonomic changes in the nervous system could therefore complement existing approaches to FOG monitoring. Previous studies have shown that skin conductance (SC) and its features change in temporal proximity to FOG episodes. We analyzed the SC of 19 participants with self\u2010reported daily FOG episodes in a semi\u2010free\u2010living environment. The experiments were performed in ON and OFF medication states. We compared four features extracted from the SC of freezing episodes and pre\u2010freezing to voluntary stops, walking, and their interaction with medication using generalized linear mixed models. We found that the median, tonic level, and area under the curve of the phasic component differed significantly across motor conditions and temporal states, particularly when comparing FOG with walking, and were modulated by medication state. No consistent differences were observed between freezing and voluntary stopping across all features. Our results demonstrate that skin conductance captures autonomic differences related to motor context, medication state, and temporal proximity to freezing, including changes that occur shortly before a freeze. Incorporating these physiological markers into wearable technology could support multimodal, medication\u2010aware approaches to FOG monitoring and cueing, potentially improving the daily lives of individuals with FOG.<\/jats:p>","DOI":"10.1111\/ejn.70551","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T08:06:09Z","timestamp":1779782769000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Skin Conductance Dynamics Across Freezing of Gait, Voluntary Stopping, and Walking in Parkinson's Disease: Effects of Medication State in Semi\u2010Free\u2010Living Environments"],"prefix":"10.1111","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9072-0404","authenticated-orcid":false,"given":"Juan Daniel","family":"Delgado\u2010Ter\u00e1n","sequence":"first","affiliation":[{"name":"Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) University of Twente  Enschede Overijssel the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard J. A.","family":"van Wezel","sequence":"additional","affiliation":[{"name":"Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) University of Twente  Enschede Overijssel the Netherlands"},{"name":"Department of Neurobiology, Donders Institute for Brain, Cognition and Behaviour Radboud University  Nijmegen Gelderland the Netherlands"},{"name":"OnePlanet Research Center Radboud University  Nijmegen Gelderland the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tjitske","family":"Heida","sequence":"additional","affiliation":[{"name":"Biomedical Signals and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) University of Twente  Enschede Overijssel the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,26]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2010.04.028"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1126-0"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12984\u2010023\u201001175\u2010y"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/107385840200800209"},{"key":"e_1_2_12_6_1","first-page":"159","volume-title":"The Electrodermal System","author":"Dawson M. 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