Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment

<table class="table-group" id="tab24"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Description</td><td class="align_center">Articles</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">ANN extracting spatial content from EEG</td><td class="align_center">[<a href="/journals/dm/2018/5174815/#B133" target="_blank">133</a>, <a href="/journals/dm/2018/5174815/#B177" target="_blank">177</a>]</td></tr><tr><td class="align_left">Back-predictive model</td><td class="align_center">[<a href="/journals/dm/2018/5174815/#B116" target="_blank">116</a>]</td></tr><tr><td class="align_left">Linear predictive model</td><td class="align_center">[<a href="/journals/dm/2018/5174815/#B116" target="_blank">116</a>]</td></tr><tr><td class="align_left">Paraconsistent artificial neural network (PANN) using morphological analysis of EEG</td><td class="align_center">[<a href="/journals/dm/2018/5174815/#B87" target="_blank">87</a>]</td></tr><tr><td class="align_left">Symmetric predictive model</td><td class="align_center">[<a href="/journals/dm/2018/5174815/#B116" target="_blank">116</a>]</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Disease Markers

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Table 24

Table 24: Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment 