Combining brain MRI and MRS, neuropsychological testing and brain-derived cell-free DNA level for the early detection of Alzheimer’s Disease

Motivation: There is a lack of biomarkers in elderly people with ongoing subjective or clinical cognitive decline that indicate evolution to Alzheimer’s disease, necessary for the timely identification of candidate for pharmacological treatment or cognitive rehabilitation. Goal(s): Our goal was to determine whether combining MR, neuropsychological and biological data could provide robust biomarkers for this purpose. Approach: We evaluated patients with subjective cognitive decline, mild cognitive impairment, Alzheimer’s disease and healthy individuals, using a multimodal approach. Results: We identified candidate biomarkers of condition worsening at early stages of the disease among alterations possibly explained by ongoing neurodegeneration. Impact: Our results support the combined investigation of imaging, biological and neuropsychological data to detect patients in the early stages of the Alzheimer’s disease spectrum, who may undergo active neurodegeneration and worsening of the condition.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4200
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combining brain MRI and MRS, neuropsychological testing and brain-derived cell-free DNA level for the early detection of Alzheimer’s Disease

Caterina Tonon, Susy Ferrari, Raffaele Lodi, Chiara Pirazzini et al.
1 links
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Gene expression and cancer classification
article

Combining brain MRI and MRS, neuropsychological testing and brain-derived cell-free DNA level for the early detection of Alzheimer’s Disease

Caterina Tonon, Susy Ferrari, Raffaele Lodi, Chiara Pirazzini, Luca Morandi, Lucia Guidi, Luisa Sambati, David Neil Manners, Camilla Pellegrini, Micaela Mitolo, Rossella Santoro, Giovanni Sighinolfi, Pietro Cortelli, Virginia Pollarini, Elena Cantoni, R. C. Francesco, Maria Giulia Bacalini
article en

Abstract

Motivation: There is a lack of biomarkers in elderly people with ongoing subjective or clinical cognitive decline that indicate evolution to Alzheimer’s disease, necessary for the timely identification of candidate for pharmacological treatment or cognitive rehabilitation. Goal(s): Our goal was to determine whether combining MR, neuropsychological and biological data could provide robust biomarkers for this purpose. Approach: We evaluated patients with subjective cognitive decline, mild cognitive impairment, Alzheimer’s disease and healthy individuals, using a multimodal approach. Results: We identified candidate biomarkers of condition worsening at early stages of the disease among alterations possibly explained by ongoing neurodegeneration. Impact: Our results support the combined investigation of imaging, biological and neuropsychological data to detect patients in the early stages of the Alzheimer’s disease spectrum, who may undergo active neurodegeneration and worsening of the condition.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Good health and well-being
Openalex Percentile: Top 81%
Gene expression and cancer classification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.