A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease

Medientyp: E-Artikel
Titel: A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease
Beteiligte: Inglese, Marianna; Patel, Neva; Linton-Reid, Kristofer; Loreto, Flavia; Win, Zarni; Perry, Richard J.; Carswell, Christopher; Grech-Sollars, Matthew; Crum, William R.; Lu, Haonan; Malhotra, Paresh A.; Silbert, Lisa C.; Lind, Betty; Crissey, Rachel; Kaye, Jeffrey A.; Carter, Raina; Dolen, Sara; Quinn, Joseph; Schneider, Lon S.; Pawluczyk, Sonia; Becerra, Mauricio; Teodoro, Liberty; Dagerman, Karen; Spann, Bryan M.; [...]
Erschienen: Springer Science and Business Media LLC, 2022
Erschienen in: Communications Medicine
Sprache: Englisch
DOI: 10.1038/s43856-022-00133-4
ISSN: 2730-664X
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Beschreibung: <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Alzheimer’s disease, the most common cause of dementia, causes a progressive and irreversible deterioration of cognition that can sometimes be difficult to diagnose, leading to suboptimal patient care.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We developed a predictive model that computes multi-regional statistical morpho-functional mesoscopic traits from T1-weighted MRI scans, with or without cognitive scores. For each patient, a biomarker called “Alzheimer’s Predictive Vector” (ApV) was derived using a two-stage least absolute shrinkage and selection operator (LASSO).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>The ApV reliably discriminates between people with (ADrp) and without (nADrp) Alzheimer’s related pathologies (98% and 81% accuracy between ADrp - including the early form, mild cognitive impairment - and nADrp in internal and external hold-out test sets, respectively), without any a priori assumptions or need for neuroradiology reads. The new test is superior to standard hippocampal atrophy (26% accuracy) and cerebrospinal fluid beta amyloid measure (62% accuracy). A multiparametric analysis compared DTI-MRI derived fractional anisotropy, whose readout of neuronal loss agrees with ADrp phenotype, and <jats:italic>SNPrs2075650</jats:italic> is significantly altered in patients with ADrp-like phenotype.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>This new data analytic method demonstrates potential for increasing accuracy of Alzheimer diagnosis.</jats:p> </jats:sec>
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