Volumetry of hippocampus and amygdala with high-resolution MRI and three-dimensional analysis software: minimizing the discrepancies between laboratories.

By Jens C. Pruessner, L. M. Li, W. Serles, M. Pruessner, D. Louis Collins, N. Kabani, S. Lupien, Alan C. Evans. Cerebral Cortex, 2000

743 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/4dbf879e5bf0e2d9d288aad1bc60900c6a4bfc91

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

The structural basis of inter-individual differences in human behaviour and cognition (2011, background): “For subcortical regions, however, the size can be unambiguously estimated on the basis of structural MRI measurements (for example, the size of the amygdala or hippocampu”
Regional Frontal Cortical Volumes Decrease Differentially in Aging: An MRI Study to Compare Volumetric Approaches and Voxel-Based Morphometry (2002, methodology): “Manual Volumetric Tracing Method The manual tracing analysis was performed with the software package DISPLAY developed at the Montreal Neurological Institute (e.g., Pruessner et al., 2000, 2001).”
Self-esteem, locus of control, hippocampal volume, and cortisol regulation in young and old adulthood (2005, methodology): “Volumes of Hippocampus and Amygdala were measured using a recently developed protocol (Pruessner et al., 2000, 2002).”
Interaction between the amygdala and the medial temporal lobe memory system predicts better memory for emotional events. (2004, methodology): “Therefore, the use of (Brierley et al., 2002; Duvernoy et al., 1999; Insausti et al., 1998; long ISI and pseudo-randomization stimulus presentation, as well Pruessner et al., 2000, 2002 ).”
A meta-analysis of structural brain abnormalities in PTSD. (2006, positive): “However, it is preferable to employ all three spatial dimensions and cross-validate the segmentation in different planes (Bartzokis et al., 1998, 1993; Pruessner et al., 2000).”
Maternal cortisol over the course of pregnancy and subsequent child amygdala and hippocampus volumes and affective problems (2012, methodology): “Volume analyses of the hippocampus and amygdala were performed by using the interactive software package DISPLAY developed at the Brain Imaging Center of the Montreal Neurological Institute, and a standardized segmentation protocol was applied to outline the anatomical boundaries of the hippocampus ”
A large annotated medical image dataset for the development and evaluation of segmentation algorithms (2019, methodology): “Manual tracing of the head, body, and tail of the hippocampus on images was completed following a previously published protocol [16, 17].”
Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol (2015, neutral): “…has influenced several other participants: several studies cite as their sources earlier papers by Mueller et al. (2007), Mueller & Weiner (2009), Zeineh et al. (2000, 2001, 2003), Pruessner et al. (2000, 2002), Olsen et al. (2009, 2013), Malykhin et al. (2007, 2010), and Winterburn et al. (2013).”
Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults (2006, methodology): “The HC was manually traced in 118 of the patient data sets in both hemispheres using the method described by Pruessner et al [15].”
A comprehensive study of gray matter loss in patients with Alzheimer's disease using optimized voxel-based morphometry (2003, methodology): “ROI analysis constitutes, up to now, the gold standard in brain atrophy measurements (Jack et al., 1992), but there are major shortcomings such as observer/ operator dependency and bias in brain structure and anatomical region boundary selection (Pruessner et al., 2000).”
Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates (2014, methodology): “All of these experiments together demonstrate that MAGeT-Brain's algorithmic performance is not dependent on a single definition of the hippocampus but is effective with differinghippocampal definitions (Hsu et al., 2002; Pruessner et al., 2000; Winterburn et al., 2013), across image types, and subj”