An Automated Approach for the Detection of Alzheimer's Disease From Resting State Electroencephalography.

Early detection is crucial to control the progression of Alzheimer's disease and to postpone intellectual decline. Most current detection techniques are costly, inaccessible, or invasive. Furthermore, they require laborious analysis, what delays the start of medical treatment.

A self-driven approach for multi-class discrimination in Alzheimer's disease based on wearable EEG.

Early detection is critical to control Alzheimer's disease (AD) progression and postpone cognitive decline. Traditional medical procedures such as magnetic resonance imaging are costly, involve long waiting lists, and require complex analysis. Alternatively, for the past years, researchers have successfully evaluated AD detection approaches based on machine learning and electroencephalography (EEG).

Diagnostic performance of brief cognitive tests in cognitive impairment screening.

Introduction And Objectives: This study aims to assess and compare the diagnostic performance of brief cognitive tests for cognitive impairment (CI) screening recommended by the Spanish guidelines for the integral care of people with Alzheimer's disease and other dementias.

Material And Methods: We performed a phase iii study into the accuracy of diagnostic tests, including patients with suspected CI in a primary care setting. All patients completed the Mini-Mental State Examination (MMSE), the Mini Examen Cognoscitivo (MEC), the Short Portable Mental Status Questionnaire (SPMSQ), the Memory Impairment Screen (MIS), the Clock Drawing Test (CDT), the Eurotest, the Fototest, and the Memory Alteration Test (M@T).

Normative data for the Fototest from neurological patients with no cognitive impairment.

Objectives: To contribute normative data for the Fototest from neurological patients with no cognitive impairment, including disaggregated data on each domain of the test (naming, free recall, total recall, and naming fluency).

Material And Methods: We performed a cross-sectional study in which neurological patients with no cognitive impairment were tested with the Fototest; we recorded total and domain scores. We performed a descriptive study of the total and domain scores, with data disaggregated by sex, age (over/under 65 years), and level of education (primary education completed/not completed; further study completed).

Assessment of the diagnostic accuracy and discriminative validity of the Clock Drawing and Mini-Cog tests in detecting cognitive impairment.

Introduction And Objectives: The Mini-Cog is a very brief, widely used cognitive test that includes a memory task and a simplified assessment of the Clock Drawing Test (CDT). There is not a formal evaluation of the Mini-Cog test in Spanish. This study aims to analyse the diagnostic usefulness of the Mini-Cog and CDT for detecting cognitive impairment (CI).