[HTML][HTML] Genuine high-order interactions in brain networks and neurodegeneration
Brain functional networks have been traditionally studied considering only interactions
between pairs of regions, neglecting the richer information encoded in higher orders of …
between pairs of regions, neglecting the richer information encoded in higher orders of …
Efficient deep neural networks for classification of Alzheimer's disease and mild cognitive impairment from scalp EEG recordings
The early diagnosis of subjects with mild cognitive impairment (MCI) is an effective
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
appliance of prognosis of Alzheimer's disease (AD). Electroencephalogram (EEG) has many …
Systematic review: fluid biomarkers and machine learning methods to improve the diagnosis from mild cognitive impairment to Alzheimer's disease
K Blanco, S Salcidua, P Orellana… - Alzheimer's Research & …, 2023 - Springer
Mild cognitive impairment (MCI) is often considered an early stage of dementia, with
estimated rates of progression to dementia up to 80–90% after approximately 6 years from …
estimated rates of progression to dementia up to 80–90% after approximately 6 years from …
Temporal irreversibility of large-scale brain dynamics in Alzheimer's disease
Healthy brain dynamics can be understood as the emergence of a complex system far from
thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a …
thermodynamic equilibrium. Brain dynamics are temporally irreversible and thus establish a …
Machine learning for Alzheimer's disease and related dementias
Dementia denotes the condition that affects people suffering from cognitive and behavioral
impairments due to brain damage. Common causes of dementia include Alzheimer's …
impairments due to brain damage. Common causes of dementia include Alzheimer's …
[HTML][HTML] Source space connectomics of neurodegeneration: one-metric approach does not fit all
Brain functional connectivity in dementia has been assessed with dissimilar EEG
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …
connectivity metrics and estimation procedures, thereby increasing results' heterogeneity. In …
[HTML][HTML] Brain health in diverse settings: How age, demographics and cognition shape brain function
Diversity in brain health is influenced by individual differences in demographics and
cognition. However, most studies on brain health and diseases have typically controlled for …
cognition. However, most studies on brain health and diseases have typically controlled for …
Elevating understanding: Linking high-altitude hypoxia to brain aging through EEG functional connectivity and spectral analyses
High-altitude hypoxia triggers brain function changes reminiscent of those in healthy aging
and Alzheimer's disease, compromising cognition and executive functions. Our study sought …
and Alzheimer's disease, compromising cognition and executive functions. Our study sought …
Multivariate word properties in fluency tasks reveal markers of Alzheimer's dementia
INTRODUCTION Verbal fluency tasks are common in Alzheimer's disease (AD)
assessments. Yet, standard valid response counts fail to reveal disease‐specific semantic …
assessments. Yet, standard valid response counts fail to reveal disease‐specific semantic …
Harmonized multi‐metric and multi‐centric assessment of EEG source space connectivity for dementia characterization
Introduction Harmonization protocols that address batch effects and cross‐site
methodological differences in multi‐center studies are critical for strengthening …
methodological differences in multi‐center studies are critical for strengthening …