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The clinical diagnosis of these NDs is based on the detection and characterization of motor and non-motor symptoms. However, when these diagnoses are made, the subjects are often in advanced stages where neuromuscular alterations are frequently irreversible. In this context, we propose a methodology to evaluate the cognitive workload (CWL) of motor tasks involving decision-making processes. CWL is a concept widely used to address the balance between task demand and the subject\u2019s available resources to complete that task. In this study, multiple models for motor planning during a motor decision-making task were developed by recording EEG and EMG signals in n=17 healthy volunteers (9 males, 8 females, age 28.66\u00b18.8 years). In the proposed test, volunteers have to make decisions about which hand should be moved based on the onset of a visual stimulus. We computed functional connectivity between the cortex and muscles, as well as among muscles using both corticomuscular and intermuscular coherence. Despite three models being generated, just one of them had strong performance. The results showed two types of motor decision-making processes depending on the hand to move. Moreover, the central processing of decision-making for the left hand movement can be accurately estimated using behavioral measures such as planning time combined with peripheral recordings like EMG signals. The models provided in this study could be considered as a methodological foundation to detect neuromuscular alterations in asymptomatic patients, as well as to monitor the process of a degenerative disease.<\/jats:p>","DOI":"10.3390\/s24041089","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T08:28:16Z","timestamp":1707294496000},"page":"1089","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Assessing Cognitive Workload in Motor Decision-Making through Functional Connectivity Analysis: Towards Early Detection and Monitoring of Neurodegenerative Diseases"],"prefix":"10.3390","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5891-111X","authenticated-orcid":false,"given":"Leonardo Ariel","family":"Cano","sequence":"first","affiliation":[{"name":"Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1001-8672","authenticated-orcid":false,"given":"Ana L\u00eda","family":"Albarrac\u00edn","sequence":"additional","affiliation":[{"name":"Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4970-2145","authenticated-orcid":false,"given":"Alvaro Gabriel","family":"Piz\u00e1","sequence":"additional","affiliation":[{"name":"Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1067-0564","authenticated-orcid":false,"given":"Cecilia Elisabet","family":"Garc\u00eda-Cena","sequence":"additional","affiliation":[{"name":"ETSIDI-Center for Automation and Robotics, Universidad Polit\u00e9cnica de Madrid, Ronda de Valencia 3, 28012 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7052-6011","authenticated-orcid":false,"given":"Eduardo","family":"Fern\u00e1ndez-Jover","sequence":"additional","affiliation":[{"name":"Institute of Bioengineering, Universidad Miguel Hern\u00e1ndez of Elche, 03202 Elche, Spain"},{"name":"Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8836-7517","authenticated-orcid":false,"given":"Fernando Daniel","family":"Farf\u00e1n","sequence":"additional","affiliation":[{"name":"Neuroscience and Applied Technologies Laboratory (LINTEC), Bioengineering Department, Faculty of Exact Sciences and Technology (FACET), National University of Tucuman, Superior Institute of Biological Research (INSIBIO), National Scientific and Technical Research Council (CONICET), Av. Independencia 1800, San Miguel de Tucuman 4000, Argentina"},{"name":"Institute of Bioengineering, Universidad Miguel Hern\u00e1ndez of Elche, 03202 Elche, Spain"},{"name":"Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), 28029 Madrid, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1136\/jnnp-2018-319581","article-title":"Measuring network disruption in neurodegenerative diseases: New approaches using signal analysis","volume":"90","author":"McMackin","year":"2019","journal-title":"J. Neurol. Neurosurg. 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