BACKGROUND: Early diagnosis and monitoring of the progression of Alzheimer's disease is important for the development of therapeutic strategies. To detect the earliest structural brain changes, individuals need to be studied before symptom onset. We used an imaging technique known as voxel-compression mapping to localise progressive atrophy in patients with preclinical Alzheimer's disease. METHODS: Four symptom-free individuals from families with early-onset Alzheimer's disease with known autosomal dominant mutations underwent serial magnetic resonance imaging (MRI) over 5-8 years. All four became symptomatic during follow-up. 20 individuals with a clinical diagnosis of probable Alzheimer's disease and 20 control participants also underwent serial MR imaging. A non-linear fluid matching algorithm was applied to register repeat scans onto baseline imaging. Jacobian determinants were used to create the voxel-compression maps. FINDINGS: Progressive atrophy was revealed in presymptomatic individuals, with posterior cingulate and neocortical temporoparietal cortical losses, and medial temporal-lobe atrophy. In patients with known Alzheimer's disease, atrophy was widespread apart from in the primary motor and sensory cortices and cerebellum, reflecting the clinical phenomenology. INTERPRETATION: Voxel-compression maps confirmed early involvement of the medial temporal lobes, but also showed posterior cingulate and temporoparietal cortical losses at presymptomatic stage. This technique could be applied diagnostically and used to monitor the effects of therapeutic intervention.
BACKGROUND: Early diagnosis and monitoring of the progression of Alzheimer's disease is important for the development of therapeutic strategies. To detect the earliest structural brain changes, individuals need to be studied before symptom onset. We used an imaging technique known as voxel-compression mapping to localise progressive atrophy in patients with preclinical Alzheimer's disease. METHODS: Four symptom-free individuals from families with early-onset Alzheimer's disease with known autosomal dominant mutations underwent serial magnetic resonance imaging (MRI) over 5-8 years. All four became symptomatic during follow-up. 20 individuals with a clinical diagnosis of probable Alzheimer's disease and 20 control participants also underwent serial MR imaging. A non-linear fluid matching algorithm was applied to register repeat scans onto baseline imaging. Jacobian determinants were used to create the voxel-compression maps. FINDINGS: Progressive atrophy was revealed in presymptomatic individuals, with posterior cingulate and neocortical temporoparietal cortical losses, and medial temporal-lobe atrophy. In patients with known Alzheimer's disease, atrophy was widespread apart from in the primary motor and sensory cortices and cerebellum, reflecting the clinical phenomenology. INTERPRETATION: Voxel-compression maps confirmed early involvement of the medial temporal lobes, but also showed posterior cingulate and temporoparietal cortical losses at presymptomatic stage. This technique could be applied diagnostically and used to monitor the effects of therapeutic intervention.
Authors: Herve Lemaitre; Aaron L Goldman; Fabio Sambataro; Beth A Verchinski; Andreas Meyer-Lindenberg; Daniel R Weinberger; Venkata S Mattay Journal: Neurobiol Aging Date: 2010-08-23 Impact factor: 4.673
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Authors: H Randall Griffith; Ozioma C Okonkwo; Jan A den Hollander; Katherine Belue; Jacqueline Copeland; Lindy E Harrell; John C Brockington; David G Clark; Daniel C Marson Journal: Neuropsychol Dev Cogn B Aging Neuropsychol Cogn Date: 2010-04-06
Authors: Liana G Apostolova; Kristy S Hwang; Luis D Medina; Amity E Green; Meredith N Braskie; Rebecca A Dutton; Jeffrey Lai; Daniel H Geschwind; Jeffrey L Cummings; Paul M Thompson; John M Ringman Journal: Dement Geriatr Cogn Disord Date: 2011-09-23 Impact factor: 2.959
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Authors: Collin Y Liu; Anitha P Krishnan; Lirong Yan; Robert X Smith; Emily Kilroy; Jeffery R Alger; John M Ringman; Danny J J Wang Journal: J Magn Reson Imaging Date: 2012-12-07 Impact factor: 4.813