Publications by authors named "M Soto-Anari"
Article Synopsis
- Blood-based biomarkers like p-tau217 are being studied for their effectiveness in diagnosing Alzheimer's disease (AD), but previous research has mainly focused on non-Hispanic White populations, leading to a knowledge gap across different ethnic backgrounds.
- A new study involving Peruvians, including mestizos and indigenous groups, examined plasma p-tau217 in 525 individuals, revealing significant associations between the biomarker and AD, especially in those with the APOE-e4 allele, although it did not distinguish between healthy controls and mild cognitive impairment (MCI).
- The results indicated that p-tau217 levels correlated well with cognitive performance and had an impressive classification performance (ROC-AUC of 82.82%), marking a significant contribution to understanding AD in diverse
Article Synopsis
- Structural income inequality, defined as the uneven distribution of income across regions, affects brain dynamics and functions more significantly than individual factors like age or education.
- This study used EEG signals from 1,394 healthy participants across 10 countries to explore how structural inequality predicts various brain activity metrics, revealing a connection between socioeconomic conditions and neural functioning.
- Results show that higher structural income inequality is associated with lower brain signal complexity, increased random neural activity, and reduced power in certain brain wave frequencies, suggesting the need for a broader understanding of how social factors influence brain health.
Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of diversity (including geographical, socioeconomic, sociodemographic, sex and neurodegeneration) on the brain-age gap is unknown. We analyzed datasets from 5,306 participants across 15 countries (7 Latin American and Caribbean countries (LAC) and 8 non-LAC countries).
View Article and Find Full Text PDFBrain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. However, the impact of multimodal diversity (geographical, socioeconomic, sociodemographic, sex, neurodegeneration) on the brain age gap (BAG) is unknown. Here, we analyzed datasets from 5,306 participants across 15 countries (7 Latin American countries -LAC, 8 non-LAC).
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