Sultan Yıldız

ORCID: 0000-0003-1980-700X
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About
Contact & Profiles
Research Areas
  • Hallucinations in medical conditions
  • Functional Brain Connectivity Studies
  • Psychosomatic Disorders and Their Treatments
  • Mental Health Research Topics
  • Drug-Induced Ocular Toxicity
  • Spatial Neglect and Hemispheric Dysfunction
  • EEG and Brain-Computer Interfaces
  • Pain Management and Placebo Effect
  • Bird parasitology and diseases
  • Plant-based Medicinal Research
  • Complementary and Alternative Medicine Studies
  • Neural dynamics and brain function
  • Heart Rate Variability and Autonomic Control
  • Treatment of Major Depression
  • Transcranial Magnetic Stimulation Studies

Istanbul Medipol University
2018-2024

The microstate analysis is a method to convert the electrical potentials on multi-channel electrode array topographical electroencephalography (EEG) data. Repetitive transcranial magnetic stimulation (rTMS) non-invasive that can modulate brain networks. This study explores pathophysiological changes through in two different neurodegenerative diseases, Alzheimer's (AD) and Parkinson's disease (PD), characterized by motor cognitive symptoms effect of rTMS impaired functions.We included 18 AD,...

10.3389/fnins.2022.798558 article EN cc-by Frontiers in Neuroscience 2022-02-16

Charles Bonnet Syndrome (CBS) is a rare clinical condition which characterized by complex hallucinations in visually impaired patients. The pathophysiology of this disorder remains largely unknown, and there still no proven treatment for disease. In our study, we aimed to investigate the neural activity through Electroencephalography (EEG) power evaluate effect rivastigmine combination with alpha-lipoic acid on hallucination two CBS patients diabetic retinopathy.EEG data was recorded...

10.2174/1574884711666161003153616 article EN Current Clinical Pharmacology 2016-10-19

Background and Objective: Charles Bonnet Syndrome (CBS) has been defined as complex visual hallucinations (CVH) due to loss. The underlying mechanism of CBS is not clear the pathophysiology in patients pure visually impaired still clear. </P><P> Methods: In our study, we have scanned three with eye disease (VH+) without (VH-) using FDG-PET. Results: Our results showed underactivity pons overactivity primary right left cortex inferior parietal VH- Broca, inf frontal anterior...

10.2174/1871530318666180830112709 article EN Endocrine Metabolic & Immune Disorders - Drug Targets 2018-08-30

Background: Charles Bonnet syndrome (CBS) is a prototype phenomenon for investigating complex visual hallucination. Our research focuses on resting-state neural networks features of CBS patients with comparison equally matched loss and healthy subjects in order to investigate the mechanism behind hallucinations. Methods: Four CBS(+), 3 but no hallucinations CBS(-) 15 controls (HC) undergo fMRI recordings their data analyzed. Cognitive functions participants were also evaluated through MMSE...

10.22541/au.169354113.37158485/v1 preprint EN Authorea (Authorea) 2023-09-01

ABSTRACT Background Charles Bonnet syndrome (CBS) is a prototype phenomenon for investigating complex visual hallucination. Our research focuses on resting state neural networks features of CBS patients with comparison equally matched loss and healthy subjects in order to investigate the mechanism behind hallucinations. Material Methods Four CBS(+), three but no hallucinations CBS(-) 15 individuals (HS) undergo fMRI recordings their data analyzed Default Mode Network (DMN) changes through...

10.1101/2022.07.15.500190 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2022-07-16

Neuropsychiatric diseases such as Autism Spectrum Disorder (ASD) and Schizophrenia cause various behavioral communication dysfunctions in human life. Resting state functional magnetic resonance imaging (rs-fMRI) is used to detect characterize changes the brain associated with these disorders. Machine learning methods are known perform well classifying fMRI images have proven great potential field of computer aided diagnosis. In most previous studies, hand-crafted features been analyzes...

10.1109/siu55565.2022.9864751 article EN 2022 30th Signal Processing and Communications Applications Conference (SIU) 2022-05-15
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