Dementia is an umbrella term—caused by a large number of specific diagnoses, including
several neurodegenerative disorders. Alzheimer's disease (AD) is now the most common …

This systematic review examined whether event-related potentials (ERPs) during higher
cognitive processing can detect subtle, early signs of neurodegenerative disease. Original …

Early detection is critical to control Alzheimer's disease (AD) progression and postpone
cognitive decline. Traditional medical procedures such as magnetic resonance imaging are …

Cerebrospinal and structural‐molecular neuroimaging in‐vivo biomarkers are
recommended for diagnostic purposes in Alzheimer's disease (AD) and other dementias; …

Background: Mild cognitive impairment (MCI) is a stage between expected age-related
cognitive decline and dementia. Dementias have been associated with changes in neural …

Aim. To investigate the effect of crocin on the learning and memory acquisition of AD rats
and its underlying mechanisms. Methods. A total of 48 healthy male SD rats were randomly …

This systematic review aimed to evaluate previous studies which used near-infrared
spectroscopy (NIRS) in dementia given its suitability as a diagnostic and investigative tool in …

Cognitive workload assessment is important for optimizing multitasking abilities in the
current information-rich world. A few good research studies assess cross task classification …

Neurodegenerative processes of various types of dementia start years before symptoms, but
the presence of a “neural reserve”, which continuously feeds and supports neuroplastic …

In this paper, we review state-of-the-art approaches that apply signal processing (SP) and
machine learning (ML) to automate the detection of Alzheimer's disease (AD) and its …