Imaging the Unseen: Charting Amygdalar Tau’s Link to Affective Symptoms in Preclinical Alzheimer’s Disease DOI

Yilamujiang Abuduaini,

Yi Pu, Wei Chen

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 9(12), P. 1236 - 1238

Published: Dec. 1, 2024

Language: Английский

FDG-PET Detects Amygdala-Hippocampal Connection Volume and Heterogeneity in Alzheimer's Disease Progression DOI Creative Commons
Ramin Rasi, Albert Güveniş

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Abstract Objective This study delves into the potential of radiomics to identify Alzheimer's disease (AD) stages and monitor its progression using FDG PET images. The particular objective is explore tracking a reduced meaningful set imaging biomarkers at border Hippocampus Amygdala. Method Our utilized 18F-FDG scans from 513 participants spanning three Alzheimer’s ADNI database. hippocampus, amygdala, entorhinal cortex consistently emerged as key regions interest. To further investigate their interconnectivity, we defined hippocampus-amygdala connecting region distance transform approach. Next, systematically evaluated eight feature selection techniques in combination with six classification models determine most effective predictive framework. Finally, conducted Pearson correlation analysis pinpoint significant features for AD classification. Results connectivity area between hippocampus amygdala demonstrated superior efficacy diagnosing AD. Two shape_MeshVolume_Right, gldm_SmallDependenceLowGrayLevelEmphasis_left, glrlm_ShortRunLowGrayLevelEmphasis_left this single region, could predict versus Control Normal (CN) individuals ROC AUC = 0.91, two MCI 0.80, shape_LeastAxisLength_left, glszm_LargeAreaEmphasis_left CN 0.69. features' mean values were able demonstrate incremental deterioration groups consecutive statistical significance (p < 0.05). Conclusions In study, radiomic within utility progression. By limiting these specific biomarkers, offer simple but clinically relevant approach diagnosis monitoring role early detection intervention.

Language: Английский

Citations

0
Role of the amygdala and possible biomarkers in psychiatric disorders DOI Creative Commons
Gonzalo Flores,

Sebastian Reyes-Lizaola,

Leonardo Aguilar‐Hernández

et al.

NeuroMarkers., Journal Year: 2024, Volume and Issue: unknown, P. 100032 - 100032

Published: Dec. 1, 2024

Language: Английский

Citations

1
Imaging the Unseen: Charting Amygdalar Tau’s Link to Affective Symptoms in Preclinical Alzheimer’s Disease DOI

Yilamujiang Abuduaini,

Yi Pu, Wei Chen

et al.

Biological Psychiatry Cognitive Neuroscience and Neuroimaging, Journal Year: 2024, Volume and Issue: 9(12), P. 1236 - 1238

Published: Dec. 1, 2024

Language: Английский

Citations

0