Extra-hippocampal contributions to pattern separation
Pattern separation, or the process by which highly similar stimuli or experiences in memory
are represented by non-overlap** neural ensembles, has typically been ascribed to …
are represented by non-overlap** neural ensembles, has typically been ascribed to …
Visual system assessment for predicting a transition to psychosis
The field of psychiatry is far from perfect in predicting which individuals will transition to a
psychotic disorder. Here, we argue that visual system assessment can help in this regard …
psychotic disorder. Here, we argue that visual system assessment can help in this regard …
Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis
People with psychosis exhibit thalamo-cortical hyperconnectivity and cortico-cortical
hypoconnectivity with sensory networks, however, it remains unclear if this applies to all …
hypoconnectivity with sensory networks, however, it remains unclear if this applies to all …
Dorsal attention network activity during perceptual organization is distinct in schizophrenia and predictive of cognitive disorganization
Visual shape completion is a canonical perceptual organization process that integrates
spatially distributed edge information into unified representations of objects. People with …
spatially distributed edge information into unified representations of objects. People with …
[HTML][HTML] The psychosis human connectome project: Design and rationale for studies of visual neurophysiology
Visual perception is abnormal in psychotic disorders such as schizophrenia. In addition to
hallucinations, laboratory tests show differences in fundamental visual processes including …
hallucinations, laboratory tests show differences in fundamental visual processes including …
[HTML][HTML] Increased whole-brain functional heterogeneity in psychosis during rest and task
Past work has shown that people with schizophrenia exhibit more cross-subject
heterogeneity in their functional connectivity patterns. However, it remains unclear whether …
heterogeneity in their functional connectivity patterns. However, it remains unclear whether …
Teaching deep networks to see shape: Lessons from a simplified visual world
Deep neural networks have been remarkably successful as models of the primate visual
system. One crucial problem is that they fail to account for the strong shape-dependence of …
system. One crucial problem is that they fail to account for the strong shape-dependence of …
Aberrant intrinsic functional brain networks in patients with functional constipation
X Yu, J Yu, Y Li, J Cong, C Wang, R Fan, W Wang… - Neuroradiology, 2023 - Springer
Purpose Patients with functional constipation (FCon) often suffer from mental and
psychological problems. To explore the possible neurological interaction, we used resting …
psychological problems. To explore the possible neurological interaction, we used resting …
Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation
The skull segmentation from CT scans can be seen as an already solved problem. However,
in MR this task has a significantly greater complexity due to the presence of soft tissues …
in MR this task has a significantly greater complexity due to the presence of soft tissues …
[HTML][HTML] Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations
Brain activity flow models estimate the movement of task-evoked activity over brain
connections to help explain network-generated task functionality. Activity flow models have …
connections to help explain network-generated task functionality. Activity flow models have …