A5020263238- Medical Image Segmentation Techniques
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Medical Imaging Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Memory and Neural Mechanisms
- Medical Imaging and Analysis
- Neuroscience and Neuropharmacology Research
- Anatomy and Medical Technology
- Cell Image Analysis Techniques
- Face Recognition and Perception
- Advanced MRI Techniques and Applications
- Advanced X-ray and CT Imaging
- Psychology of Moral and Emotional Judgment
- Cultural Differences and Values
- Advanced Image and Video Retrieval Techniques
- Animal Behavior and Reproduction
- Color perception and design
- Surgical Simulation and Training
- Neural dynamics and brain function
- Image Retrieval and Classification Techniques
Western University
2017-2023
MIND Research Institute
2018
The internal structure of the human hippocampus is challenging to map using histology or neuroimaging due its complex archicortical folding. Here, we aimed overcome this challenge a unique combination three methods. First, leveraged histological dataset with unprecedented 3D coverage, BigBrain. Second, imposed computational unfolding framework that respects topological continuity hippocampal subfields, which are traditionally defined by laminar composition. Third, adapted neocortical...
Vision neuroscience has made great strides in understanding the hierarchical organization of object representations along ventral visual stream (VVS). How VVS capture fine-grained similarities between objects that observers subjectively perceive received limited examination so far. In current study, we addressed this question by focussing on perceived among subordinate exemplars real-world categories. We hypothesized these are reflected with highest fidelity neural activity patterns...
Abstract Accurate spatial correspondence between template and subject images is a crucial step in neuroimaging studies clinical applications like stereotactic neurosurgery. In the absence of robust quantitative approach, we sought to propose validate set point landmarks, anatomical fiducials (AFIDs), that could be quickly, accurately, reliably placed on magnetic resonance human brain. Using several publicly available brain templates individual participant datasets, novice users trained place...
Abstract Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol point-based image registration with millimetric (mm) accuracy. In this data descriptor, we release curated AFID placements some most commonly used structural magnetic resonance imaging datasets and templates. The our accurate allows rapid quality control registration, teaching neuroanatomy, clinical...
Abstract The internal structure of the human hippocampus is challenging to map using histology or neuroimaging due its complex archicortical folding. Here, we aimed overcome this challenge a unique combination three methods. First, leveraged histological dataset with unprecedented 3D coverage, BigBrain. Second, imposed computational unfolding framework that respects topological continuity hippocampal subfields, which are traditionally defined by laminar composition. Third, adapted...
Abstract The hippocampus, like the neocortex, has a morphological structure that is complex and variable in its folding pattern, especially hippocampal head. current study presents computational method to unfold grey matter, with particular focus on head where complexity highest due medial curving of presence digitations. This unfolding was performed segmentations from high-resolution, T2-weighted 7T MRI data 12 healthy participants one surgical patient epilepsy whose resected tissue used...
Abstract Accurate spatial correspondence between template and subject images is a crucial step in neuroimaging studies clinical applications like stereotactic neurosurgery. In the absence of robust quantitative approach, we sought to propose validate set point landmarks, anatomical fiducials (AFIDs), that could be quickly, accurately, reliably placed on magnetic resonance human brain. Using several publicly available brain templates individual participant datasets, novice users trained place...
Observers perceive their visual environment in unique ways. Ferko et al. (2021) recently reported that the perceived similarity among exemplars of real-world categories differs across observers ways influence discrimination behaviour. What observer characteristics mediate this variability individuals remains poorly understood. We hypothesized category-specific expertise predicts ratings object these categories.
Abstract The internal architecture of the hippocampus is challenging to map in detail using traditional histology and in-vivo neuroimaging. This due, part, its complex archicortical folding that difficult appreciate both modalities. Here, we aimed overcome this challenge by leveraging unique histological dataset available as open-source 3D BigBrain. Specifically, investigated relationship between topology, laminar cytoarchitecture, detailed morphology with respect hippocampal subfields...
Perirhinal Cortex (PRC) in the medial temporal lobe has been proposed to be an extension of ventral visual stream (VVS; Murray, Bussey, Saksida, 2007). In support this notion, evidence from numerous sources suggests that PRC supports discrimination objects with high feature overlap. present fMRI study, we asked whether activity patterns reflect subjectively perceived similarity objects, and these are distinguishable at levels which earlier VVS regions cannot distinguish between them....
Abstract Tools available for reproducible, quantitative assessment of brain correspondence have been limited. We previously validated the anatomical fiducial (AFID) placement protocol point-based image registration with millimetric (mm) accuracy. In this data descriptor, we release curated AFID placements some most commonly used structural magnetic resonance imaging templates and datasets. The our accurate allows rapid quality control registration, teaching neuroanatomy, clinical...
Abstract Vision neuroscience has made great strides in understanding the hierarchical organization of object representations along ventral visual stream (VVS). How VVS capture fine-grained similarities between objects that observers subjectively perceive received limited examination so far. In current study, we addressed this question by focusing on perceived among subordinate exemplars real world-categories. We hypothesized these are reflected with highest fidelity neural activity patterns...
Links between subjective characteristics of perception and interindividual differences in behaviour remain poorly investigated at present. Recent work from our lab revealed that perceived visual similarities exemplars real-world object categories influence discrimination performance an observer-specific manner. In the current study, we aimed to determine whether such similarity effects are also present scenes.