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Neural Eng."],"published-print":{"date-parts":[[2019,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    <jats:italic>Objective<\/jats:italic>\n                    . The aim of this study was to evaluate the effect of electroencephalographic (EEG) volume conduction in different measures of functional connectivity and to characterize the EEG coupling alterations at the different stages of dementia due to Alzheimer\u2019s disease (AD).\n                    <jats:italic>Approach<\/jats:italic>\n                    . Magnitude squared coherence (\n                    <jats:italic>MSCOH<\/jats:italic>\n                    ), imaginary part of coherence (\n                    <jats:italic>iCOH<\/jats:italic>\n                    ), lagged coherence (\n                    <jats:italic>lagCOH<\/jats:italic>\n                    ), amplitude envelope correlation (\n                    <jats:italic>AEC<\/jats:italic>\n                    ), synchronization likelihood (\n                    <jats:italic>SL<\/jats:italic>\n                    ), phase lag index (\n                    <jats:italic>PLI<\/jats:italic>\n                    ), phase locking value (\n                    <jats:italic>PLV<\/jats:italic>\n                    ), and corrected imaginary\n                    <jats:italic>PLV<\/jats:italic>\n                    (\n                    <jats:italic>ciPLV<\/jats:italic>\n                    ) were applied to: (i) synthetic signals generated with a Kuramoto-based model of several coupled oscillators; and (ii) a resting-state EEG database of real recordings from 51 cognitively healthy controls, 51 mild cognitive impairment (MCI) subjects, 51 mild AD (AD\n                    <jats:sub>\n                      <jats:italic>mil<\/jats:italic>\n                    <\/jats:sub>\n                    ) patients, 50 moderate AD (AD\n                    <jats:sub>\n                      <jats:italic>mod<\/jats:italic>\n                    <\/jats:sub>\n                    ) patients, and 50 severe AD (AD\n                    <jats:sub>\n                      <jats:italic>sev<\/jats:italic>\n                    <\/jats:sub>\n                    ) patients.\n                    <jats:italic>Main results<\/jats:italic>\n                    . Our results using synthetic signals showed that\n                    <jats:italic>PLI<\/jats:italic>\n                    was the least affected parameter by spurious influences in a simulated volume conduction environment. Results using real EEG recordings showed that spontaneous activity of MCI patients is characterized by a significant coupling increase in the\n                    <jats:inline-formula\/>\n                    band. As dementia progresses, this increase in the\n                    <jats:inline-formula\/>\n                    band became more pronounced, and a significant widespread decrease in\n                    <jats:inline-formula\/>\n                    band appeared at the last stage of dementia.\n                    <jats:italic>Significance<\/jats:italic>\n                    . Our results revealed that the estimation of functional EEG connectivity using\n                    <jats:italic>PLI<\/jats:italic>\n                    could reduce the bias introduced by the spurious influence of volume conduction, and it could increase the insight into the underlying brain dynamics at different stages of the AD continuum.\n                  <\/jats:p>","DOI":"10.1088\/1741-2552\/ab4024","type":"journal-article","created":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T19:31:37Z","timestamp":1567193497000},"page":"066019","update-policy":"https:\/\/doi.org\/10.1088\/crossmark-policy","source":"Crossref","is-referenced-by-count":68,"title":["Computational modeling of the effects of EEG volume conduction on functional connectivity metrics. Application to Alzheimer\u2019s disease continuum"],"prefix":"10.1088","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1483-2265","authenticated-orcid":false,"given":"Sa\u00fal J","family":"Ruiz-G\u00f3mez","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9915-2570","authenticated-orcid":false,"given":"Roberto","family":"Hornero","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8577-9559","authenticated-orcid":false,"given":"Jes\u00fas","family":"Poza","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7445-6498","authenticated-orcid":false,"given":"Aar\u00f3n","family":"Maturana-Candelas","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1903-4206","authenticated-orcid":false,"given":"N\u00e1dia","family":"Pinto","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9488-0605","authenticated-orcid":false,"given":"Carlos","family":"G\u00f3mez","sequence":"additional","affiliation":[]}],"member":"266","published-online":{"date-parts":[[2019,10,29]]},"reference":[{"key":"jneab4024bib001","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.ijpsycho.2015.02.008","type":"journal-article","article-title":"Brain neural synchronization and functional coupling in Alzheimer\u2019s disease as revealed by resting state EEG rhythms","volume":"103","author":"Babiloni","year":"2016","journal-title":"Int. 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