LEADER 02322nam 2200373z- 450 001 9910220034603321 005 20231214133050.0 035 $a(CKB)3800000000216431 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/54525 035 $a(EXLCZ)993800000000216431 100 $a20202102d2016 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeurophysiology in Alzheimer's Disease and Dementia 210 $cFrontiers Media SA$d2016 215 $a1 electronic resource (106 p.) 225 1 $aFrontiers Research Topics 311 $a2-88919-930-4 330 $aAlzheimer's disease (AD) and dementia are the most common neurodegenerative disorder. Since the number of individuals with AD and dementia is expected to increase considerably in the near future, reliable treatment and diagnosis are critical. EEG and neurophysiological technique could be used as a cost-effective screening tool for early detection and diagnosis in the Mild Cognitive Impairment (MCI) stage. The aim in neurophysiology research is to develop signal processing methods that improve the specificity for diagnosing dementia; we wish to discover signal features that not only significantly differ in AD patients, but also allow us to reliably separate AD patients and control subjects. This approach is valuable for clinical purposes (as diagnostic tool for dementia), and it also more fundamentally contributes to a better understanding of brain dynamics of MCI patients. Finally, the development of neurophysiological biomarker could be useful in monitoring pharmacological treatments. The main focus of this special issue will be on the most recent developments and ideas in the field of EEG and neurophysiology which will enable us to extract features that improve the specificity for diagnosing AD and dementia. 610 $aEEG 610 $aAlpha Rhythm 610 $aAlzheimer's disease 610 $atheta burst stimulation 610 $aNeurophysiology 610 $aTheta Rhythm 610 $aMMN 700 $aDavide Vito Moretti$4auth$01280382 906 $aBOOK 912 $a9910220034603321 996 $aNeurophysiology in Alzheimer's Disease and Dementia$93016854 997 $aUNINA