Alzheimer's disease (AD) is characterized by different clinical entities. Although AD
phenotypes share a common molecular substrate (ie, amyloid beta and tau accumulation) …

The study of pollutant effects is extremely important to address the epochal challenges we
are facing, where world populations are increasingly moving from rural to urban centers …

Background Robot-assisted gait training (RAGT) may have beneficial effects on Parkinson's
disease (PD); however, the evidence to date is inconsistent. Objectives This study compared …

Deep brain stimulation (DBS) and non-invasive neuromodulation are currently being
investigated for treating network dysfunction in Alzheimer's Disease (AD). However, due to …

Abstract Brain Age Gap (BAG) is defined as the difference between the brain's predicted age
and the chronological age of an individual. Magnetic resonance imaging (MRI)-based BAG …

Electroencephalography (EEG) microstates are used to study cognitive processes and brain
disease-related changes. However, dysfunctional patterns of microstate dynamics in …

Background: The early detection of neurocognitive disorders, especially when mild, is a key
issue of health care systems including the Italian Dementia National Plan. The Mini-Mental …

Frontal variant Alzheimer's disease (AD) manifests with either behavioral or dysexecutive
syndromes. Recent efforts to gain a deeper understanding of this phenotype have led to a re …

It was reported that acupuncture could treat Alzheimer's disease (AD) with the potential
mechanisms remaining unclear. The aim of the study is to explore the effect of the …

High quality of sleep may mitigate the impact of pathophysiological mechanisms in mild
cognitive impairment (MCI) through functional connectivity reorganization of neural networks …