title: Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
abstract: The perirhinal cortex (Brodmann's area 35) is a multimodal area that is important for normal memory function. Specifically, perirhinal cortex is involved in the detection of novel objects and manifests neurofibrillary tangles in Alzheimer's disease very early in disease progression. We scanned ex vivo brain hemispheres at standard resolution (1 mm × 1 mm × 1 mm) to construct pial/white matter surfaces in FreeSurfer and scanned again at high resolution (120 μm × 120 μm × 120 μm) to determine cortical architectural boundaries. After labeling perirhinal area 35 in the high resolution images, we mapped the high resolution labels to the surface models to localize area 35 in fourteen cases. We validated the area boundaries determined using histological Nissl staining. To test the accuracy of the probabilistic mapping, we measured the Hausdorff distance between the predicted and true labels and found that the median Hausdorff distance was 4.0mm for the left hemispheres (n=7) and 3.2mm for the right hemispheres (n=7) across subjects. To show the utility of perirhinal localization, we mapped our labels to a subset of the Alzheimer's Disease Neuroimaging Initiative dataset and found decreased cortical thickness measures in mild cognitive impairment and Alzheimer's disease compared to controls in the predicted perirhinal area 35. Our ex vivo probabilistic mapping of the perirhinal cortex provides histologically validated, automated and accurate labeling of architectonic regions in the medial temporal lobe, and facilitates the analysis of atrophic changes in a large dataset for earlier detection and diagnosis.
authors.affiliation: Athinoula A Martinos Center, Dept. of Radiology, MGH, 149 13th Street, Charlestown MA 02129 USA. jean@nmr.mgh.harvard.edu
authors.forename: Jean C
authors.initials: JC
authors.lastname: Augustinack
authors.forename: Kristen E
authors.initials: KE
authors.lastname: Huber
authors.forename: Allison A
authors.initials: AA
authors.lastname: Stevens
authors.forename: Michelle
authors.initials: M
authors.lastname: Roy
authors.forename: Matthew P
authors.initials: MP
authors.lastname: Frosch
authors.forename: André J W
authors.initials: AJ
authors.lastname: van der Kouwe
authors.forename: Lawrence L
authors.initials: LL
authors.lastname: Wald
authors.forename: Koen
authors.initials: K
authors.lastname: Van Leemput
authors.forename: Ann C
authors.initials: AC
authors.lastname: McKee
authors.forename: Bruce
authors.initials: B
authors.lastname: Fischl
mesh_terms: D000368:Aged; D000465:Algorithms; D001185:Artificial Intelligence; D002102:Cadaver; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009415:Nerve Net / Q000033:anatomy & histology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013702:Temporal Lobe / Q000033:anatomy & histology*