Publications by authors named "Alejandra Bahena"
Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.
Imaging Neurosci (Camb)
May 2024
MRI allows brain anatomy to be examined at high resolution and to link pathology measures with morphometric measurements. However, automated segmentation methods for brain mapping in postmortem MRI are not well developed, primarily due to limited availability of labeled datasets, and heterogeneity in scanner hardware and acquisition protocols. In this work, we present a high-resolution dataset of 135 postmortem human brain tissue specimens imaged at 0.
View Article and Find Full Text PDFArticle Synopsis
- The medial temporal lobe (MTL) is crucial for understanding cognitive decline related to neurodegenerative diseases, but the connection between MTL atrophy and specific proteinopathies remains unclear.
- Researchers developed two deep learning algorithms to quantitatively measure phosphorylated tau (p-tau) and TDP-43 (pTDP-43) pathology in the MTL, focusing on their roles in Alzheimer's disease and LATE.
- Their study found that quantitative p-tau measures better correlate with structural changes in the MTL compared to semi-quantitative ratings, revealing significant associations with cortical thickness and volume, especially in severe Alzheimer's cases.
Article Synopsis
- * Patients with FTD frequently experience language and social disorders related to damage in specific brain regions, depending on whether the left or right temporal lobes are more affected.
- * A study of two FTD patients with differing subtypes revealed that their distinct rigid belief systems corresponded with specific patterns of brain atrophy, indicating that different forms of FTD may impact belief formation and social behavior differently due to varying vulnerabilities in brain regions.
Objective: Personality change in Alzheimer's disease and related dementias (ADRD) is complicated by the patient and informant factors that confound accurate reporting of personality traits. We assessed the impact of caregiver burden on informant report of Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness) and investigated the regional cortical volumes associated with larger discrepancies in the patient and informant report of the Big Five personality traits.
Method: Sixty-four ADRD participants with heterogeneous neurodegenerative clinical phenotypes and their informants completed the Big Five Inventory (BFI).
Background: Assessment of personality change in Alzheimer's disease and related dementias (ADRD) is clinically meaningful but complicated by patient (i.e., reduced insight) and informant (i.
View Article and Find Full Text PDF