Alzheimer's disease (AD) is a chronic neurodegenerative disorder associated with
dementia. To overcome the limitations of diagnosis and treatment nanotechnology research …

In this paper, we explore the utility of resting-state EEG measures as potential biomarkers for
the detection and assessment of cognitive decline in mild cognitive impairment (MCI) and …

Highlights•Advances in neurobiological understanding about the cause of cognitive
disability in AD spark new hopes for therapeutic strategies.•Metrics of neuronal …

The combination of TMS and EEG has the potential to capture relevant features of
Alzheimer's disease (AD) pathophysiology. We used a machine learning framework to …

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder
in children, usually categorized as three subtypes, predominant inattention (ADHD-I) …

Background To enable successful inclusion of electroencephalography (EEG) outcome
measures in Alzheimer's disease (AD) clinical trials, we retrospectively mapped the …

Cortical function emerges from the interactions of multi-scale networks that may be studied
at a high level using neural mass models (NMM) that represent the mean activity of large …

Virtual reality (VR) technologies have shown promising potential in the early diagnosis of
dementia by enabling accessible and regular assessment. However, previous VR studies …

Electroencephalography (EEG) has shown potential for identifying early-stage biomarkers of
neurocognitive dysfunction associated with dementia due to Alzheimer's disease (AD). A …

A prominent theoretical framework spanning philosophy, psychology, and neuroscience
holds that selective attention penetrates early stages of perceptual processing to alter the …