Dataset Information

Relationship between hippocampal atrophy and neuropathology markers: a 7T MRI validation study of the EADC-ADNI Harmonized Hippocampal Segmentation Protocol.

ABSTRACT: OBJECTIVE:The pathologic validation of European Alzheimer's Disease Consortium Alzheimer's Disease Neuroimaging Initiative Center Harmonized Hippocampal Segmentation Protocol (HarP). METHODS:Temporal lobes of nine Alzheimer's disease (AD) and seven cognitively normal subjects were scanned post-mortem at 7 Tesla. Hippocampal volumes were obtained with HarP. Six-micrometer-thick hippocampal slices were stained for amyloid beta (A?), tau, and cresyl violet. Hippocampal subfields were manually traced. Neuronal counts, A?, and tau burden for each hippocampal subfield were obtained. RESULTS:We found significant correlations between hippocampal volume and Braak and Braak staging (? = -0.75, P = .001), tau (? = -0.53, P = .034), A? burden (? = -0.61, P = .012), and neuronal count (? = 0.77, P < .001). Exploratory subfield-wise significant associations were found for A? in Cornu Ammonis (CA)1 (? = -0.58, P = .019) and subiculum (? = -0.75, P = .001), tau in CA2 (? = -0.59, P = .016), and CA3 (? = -0.5, P = .047), and neuronal count in CA1 (? = 0.55, P = .028), CA3 (? = 0.65, P = .006), and CA4 (? = 0.76, P = .001). CONCLUSIONS:The observed associations provide pathological confirmation of hippocampal morphometry as a valid biomarker for AD and pathologic validation of HarP.

SUBMITTER: Apostolova LG

PROVIDER: S-EPMC4348340 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature

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Relationship between hippocampal atrophy and neuropathology markers: a 7T MRI validation study of the EADC-ADNI Harmonized Hippocampal Segmentation Protocol.

Apostolova Liana G LG Zarow Chris C Biado Kristina K Hurtz Sona S Boccardi Marina M Somme Johanne J Honarpisheh Hedieh H Blanken Anna E AE Brook Jenny J Tung Spencer S Lo Darrick D Ng Denise D Alger Jeffry R JR Vinters Harry V HV Bocchetta Martina M Duvernoy Henri H Jack Clifford R CR Frisoni Giovanni B GB Frisoni Giovanni B GB

Alzheimer's & dementia : the journal of the Alzheimer's Association 20150122 2

<h4>Objective</h4>The pathologic validation of European Alzheimer's Disease Consortium Alzheimer's Disease Neuroimaging Initiative Center Harmonized Hippocampal Segmentation Protocol (HarP).<h4>Methods</h4>Temporal lobes of nine Alzheimer's disease (AD) and seven cognitively normal subjects were scanned post-mortem at 7 Tesla. Hippocampal volumes were obtained with HarP. Six-micrometer-thick hippocampal slices were stained for amyloid beta (Aβ), tau, and cresyl violet. Hippocampal subfields were ...[more]

PMID: 25620800

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Project description:Brain images contain information suitable for automatically sorting subjects into categories such as healthy controls and patients. We sought to identify morphometric criteria for distinguishing controls (n?=?28) from patients with unilateral temporal lobe epilepsy (TLE), 60 with and 20 without hippocampal atrophy (TLE-HA and TLE-N, respectively), and for determining the presumed side of seizure onset. The framework employs multi-atlas segmentation to estimate the volumes of 83 brain structures. A kernel-based separability criterion was then used to identify structures whose volumes discriminate between the groups. Next, we applied support vector machines (SVM) to the selected set for classification on the basis of volumes. We also computed pairwise similarities between all subjects and used spectral analysis to convert these into per-subject features. SVM was again applied to these feature data. After training on a subgroup, all TLE-HA patients were correctly distinguished from controls, achieving an accuracy of 96 ± 2% in both classification schemes. For TLE-N patients, the accuracy was 86 ± 2% based on structural volumes and 91 ± 3% using spectral analysis. Structures discriminating between patients and controls were mainly localized ipsilaterally to the presumed seizure focus. For the TLE-HA group, they were mainly in the temporal lobe; for the TLE-N group they included orbitofrontal regions, as well as the ipsilateral substantia nigra. Correct lateralization of the presumed seizure onset zone was achieved using hippocampi and parahippocampal gyri in all TLE-HA patients using either classification scheme; in the TLE-N patients, lateralization was accurate based on structural volumes in 86 ± 4%, and in 94 ± 4% with the spectral analysis approach. Unilateral TLE has imaging features that can be identified automatically, even when they are invisible to human experts. Such morphometric image features may serve as classification and lateralization criteria. The technique also detects unsuspected distinguishing features like the substantia nigra, warranting further study.

Dataset Information

Relationship between hippocampal atrophy and neuropathology markers: a 7T MRI validation study of the EADC-ADNI Harmonized Hippocampal Segmentation Protocol.

Publications

Relationship between hippocampal atrophy and neuropathology markers: a 7T MRI validation study of the EADC-ADNI Harmonized Hippocampal Segmentation Protocol.

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