Background Transcranial alternating current stimulation (tACS)—a noninvasive brain
stimulation technique that modulates cortical oscillations through entrainment—has been …

Background Biomarker changes that occur in the period between normal cognition and the
diagnosis of sporadic Alzheimer's disease have not been extensively investigated in …

Machine learning is extremely promising for assisting diagnosis and prognosis in brain
disorders. Nevertheless, we argue that key challenges remain to be addressed by the …

Alzheimer's disease (AD) is a deadly cognitive condition in which people develop severe
dementia symptoms. Neurologists commonly use a series of physical and mental tests to …

Alzheimer's Disease (AD) is a psychological disorder in elderly people which causes severe
intellectual disabilities. Proper processing of neuro-images can provide differences in brain …

Alzheimer's Disease (AD) is the most common type of dementia. Predicting the conversion to
Alzheimer's from the mild cognitive impairment (MCI) stage is a complex problem that has …

Background Alzheimer's disease (AD) is a neurodegenerative condition for which there is
currently no available medication that can stop its progression. Previous studies suggest that …

Alzheimer's disease (AD) is an irreversible central nervous degenerative disease, while mild
cognitive impairment (MCI) is a precursor state of AD. Accurate early diagnosis of AD is …

INTRODUCTION Identification of individuals with mild cognitive impairment (MCI) who are at
risk of develo** Alzheimer's disease (AD) is crucial for early intervention and selection of …

Abstract Background and Objective: Alzheimer's disease (AD) is the most common
neurodegenerative disease, and its early detection is crucial for appropriate treatment. To …