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Görsev Yener

Izmir University of Economics

Turkey

SCHOLARLY PAPERS

2

DOWNLOADS

188

TOTAL CITATIONS

2

Scholarly Papers (2)

1.

Enriched Resting-State EEG Biomarkers Predict Cognitive Decline at 1-Year Follow-Up in Old Patients with Prodromal Alzheimer’S Disease: A Combined Machine-Learning Approach

Number of pages: 40 Posted: 29 Jan 2024
Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, IRCCS Synlab SDN, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Oasi Research Institute - IRCCS, Oasi Research Institute - IRCCS, Oasi Research Institute - IRCCS, IRCCS Synlab SDN, IRCCS Synlab SDN, Università degli Studi di Genova, Università degli Studi di Genova, IRCCS Ospedale Policlinico San Martino, IRCCS Ospedale Policlinico San Martino, Sapienza University of Rome - Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, IRCCS San Raffaele Pisana, IRCCS San Raffaele Pisana, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Sapienza University of Rome, Sapienza University of Rome, Università Vita-Salute San Raffaele - IRCCS Ospedale San Raffaele, Istanbul Medipol University, Istanbul Medipol University, Istanbul Medipol University, Istanbul Medipol University, Izmir University of Economics, Izmir University of Economics, University of Geneva - Geneva University Hospitals, Hospital San Raffaele Cassino, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering, Kore University of Enna, University of Cassino and Southern Lazio, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering and University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering
Downloads 108 (649,907)
Citation 2

Abstract:

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Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), biomarkers, Resting-state electroencephalographic (rsEEG) rhythms, Cerebrospinal fluid (CSF), Delta, Theta, and Alpha Rhythms, Structural Magnetic Resonance Imaging (sMRI), Prediction, Artificial Intelligence (AI), Machine Learning (ML).

2.

Resting State Electroencephalographic Alpha Rhythms Predict and are Sensitive to Alzheimer’S Disease Mild Cognitive Impairment Progression at a 6-Month Follow-Up

Number of pages: 51 Posted: 09 Dec 2022
Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, University of Naples Parthenope, IRCCS Synlab SDN, Oasi Research Institute - IRCCS, Oasi Research Institute - IRCCS, IRCCS Ospedale Policlinico San Martino, IRCCS Ospedale Policlinico San Martino, Università degli Studi di Genova, Istanbul Medipol University, Izmir University of Economics, IRCCS San Raffaele Pisana, IRCCS San Raffaele Pisana, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Sapienza University of Rome, Istanbul Medipol University, Istanbul Medipol University, Dokuz Eylül University, IRCCS Centro San Giovanni di Dio Fatebenefratelli and IRCCS Synlab SDN
Downloads 80 (803,225)

Abstract:

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Resting state electroencephalographic (rsEEG) rhythms, Mild cognitive impairment due to Alzheimer's disease (ADMCI), Alzheimer's disease progression, exact Low-resolution Brain Electromagnetic Source Tomography (eLORETA).