Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Honorary Research Fellow



+44 (0)20 8816 7653r.heckemann Website




Cyclotron buildingHammersmith Campus






BibTex format

author = {Wild, HM and Heckemann, RA and Studholme, C and Hammers, A},
doi = {10.1371/journal.pone.0180866},
journal = {PLoS ONE},
title = {Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases.},
url = {},
volume = {12},
year = {2017}

RIS format (EndNote, RefMan)

AB - Accurately describing the anatomy of individual brains enables interlaboratory communication of functional and developmental studies and is crucial for possible surgical interventions. The human parietal lobe participates in multimodal sensory integration including language processing and also contains the primary somatosensory area. We describe detailed protocols to subdivide the parietal lobe, analyze morphological and volumetric characteristics, and create probabilistic atlases in MNI152 stereotaxic space. The parietal lobe was manually delineated on 3D T1 MR images of 30 healthy subjects and divided into four regions: supramarginal gyrus (SMG), angular gyrus (AG), superior parietal lobe (supPL) and postcentral gyrus (postCG). There was the expected correlation of male gender with larger brain and intracranial volume. We examined a wide range of anatomical features of the gyri and the sulci separating them. At least a rudimentary primary intermediate sulcus of Jensen (PISJ) separating SMG and AG was identified in nearly all (59/60) hemispheres. Presence of additional gyri in SMG and AG was related to sulcal features and volumetric characteristics. The parietal lobe was slightly (2%) larger on the left, driven by leftward asymmetries of the postCG and SMG. Intersubject variability was highest for SMG and AG, and lowest for postCG. Overall the morphological characteristics tended to be symmetrical, and volumes also tended to covary between hemispheres. This may reflect developmental as well as maturation factors. To assess the accuracy with which the labels can be used to segment newly acquired (unlabelled) T1-weighted brain images, we applied multi-atlas label propagation software (MAPER) in a leave-one-out experiment and compared the resulting automatic labels with the manually prepared ones. The results showed strong agreement (mean Jaccard index 0.69, corresponding to a mean Dice index of 0.82, average mean volume error of 0.6%). Stereotaxic probabilistic atlas
AU - Wild,HM
AU - Heckemann,RA
AU - Studholme,C
AU - Hammers,A
DO - 10.1371/journal.pone.0180866
PY - 2017///
SN - 1932-6203
TI - Gyri of the human parietal lobe: Volumes, spatial extents, automatic labelling, and probabilistic atlases.
UR -
UR -
VL - 12
ER -