Topic: persistent homology

The aim of this study is to reveal structural connectivity patterns prevalent across a large population and whether any of these patterns differ between schizophrenia subjects (SCH) and healthy controls (HC).We use topological data analysis methods, namely persistent homology using the weight rank clique filtration on brain connectivity matrices obtained from a probabilistic fibre-tracking algorithm run on the Centre for Biomedical Research Excellence (COBRE) dataset (N = 44 SCH, N = 44 HC) to investigate group differences. We show that some of the connectivity structures differ in strength re

Patients with schizophrenia commonly exhibit a symptom of disorganized thought, including delusions and incoherent speech, which are characterized by impaired connections between concepts. Interestingly, these patients show seemingly contradicting behaviors depending on the level of abstraction, such as concreteness and over-inclusion in their verbal reports. However, the fundamental pathology underling the difficulties that patients face in selecting an appropriate level of abstraction remains poorly understood. In this study, we applied an encoding modeling method to functional magnetic reso