Article

A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND dataset

2021-05-19

Abstract excerpt

Early detection of Alzheimer’s Disease (AD) is vital to reduce the burden of dementia and for developing effective treatments. Neuroimaging can detect early brain changes, such as hippocampal atrophy in Mild Cognitive Impairment (MCI), a prodromal state of AD. However, selecting the most informative imaging features by machine-learning requires many cases. While large publically-available datasets of people with d...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 423f915f-0c24-5119-9a95-95dfd7d7274b
DOI: 10.1101/2021.05.19.21257330

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A multi-site, multi-participant magnetoencephalography resting-state dataset to study dementia: The BioFIND datasetDOI 10.1101/2021.05.19.21257330Read

The neurophysiology of healthy and pathological aging: A comprehensive systematic reviewSemantic proximity Read

Magnetoencephalography as a Putative Biomarker for Alzheimer′s DiseaseSemantic proximity Read

A reusable benchmark of brain-age prediction from M/EEG resting-state signalsSemantic proximity Read

Resting-State EEG Reveals Regional Brain Activity Correlates in Alzheimer’s and Frontotemporal DementiaSemantic proximity Read

Late Combination shows that MEG adds to MRI in classifying MCI versus ControlsSemantic proximity Read

The ENIGMA MEG Pipeline: Automated cortically localized spectral analysis of multi-site resting state MEG datasetsSemantic proximity Read

Influence of the APOE ε4 allele and mild cognitive impairment diagnosis in the disruption of the MEG resting state functional connectivity in sources space.Semantic proximity Read

Evaluating the Generalizability of EEG-Based AI Models in Alzheimer’s and Dementia DiagnosisSemantic proximity Read

The Cuban Human Brain Mapping Project population based normative EEG, MRI, and Cognition datasetSemantic proximity Read

Resting-state functional MRI derivatives: A dataset derived from the The Comprehensive Assessment of Neurodegeneration and Dementia StudySemantic proximity Read

A Confounder Controlled Machine Learning Approach: Group Analysis and Classification of Schizophrenia and Alzheimer’s Disease using Resting-State Functional Network ConnectivitySemantic proximity Read

Temporal stability and neural complexity in resting-state MEG predict migraine phenotypes.Semantic proximity Read