Extra-hippocampal contributions to pattern separation

T Amer, L Davachi - elife, 2023 - elifesciences.org
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 …

Visual system assessment for predicting a transition to psychosis

A Diamond, SM Silverstein, BP Keane - Translational psychiatry, 2022 - nature.com
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 …

Functional dysconnectivity of visual and somatomotor networks yields a simple and robust biomarker for psychosis

BP Keane, YT Abrham, MW Cole, BA Johnson… - Molecular …, 2024 - nature.com
People with psychosis exhibit thalamo-cortical hyperconnectivity and cortico-cortical
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

BP Keane, B Krekelberg, RD Mill… - European Journal of …, 2023 - Wiley Online Library
Visual shape completion is a canonical perceptual organization process that integrates
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

MP Schallmo, KB Weldon, RS Kamath, HR Moser… - NeuroImage, 2023 - Elsevier
Visual perception is abnormal in psychotic disorders such as schizophrenia. In addition to
hallucinations, laboratory tests show differences in fundamental visual processes including …

[HTML][HTML] Increased whole-brain functional heterogeneity in psychosis during rest and task

BP Keane, YT Abrham, LJ Hearne, H Bi, B Hu - NeuroImage: Clinical, 2024 - Elsevier
Past work has shown that people with schizophrenia exhibit more cross-subject
heterogeneity in their functional connectivity patterns. However, it remains unclear whether …

Teaching deep networks to see shape: Lessons from a simplified visual world

C Jarvers, H Neumann - PLOS Computational Biology, 2024 - journals.plos.org
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 …

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 …

Unsupervised Skull Segmentation via Contrastive MR-to-CT Modality Translation

K Kwarciak, M Daniol, D Hemmerling… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

[HTML][HTML] Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

R Sanchez-Romero, T Ito, RD Mill, SJ Hanson… - NeuroImage, 2023 - Elsevier
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 …