Thomas A. W. Bolton

The paper evaluates how well population-level connectome harmonics represent individual brains across different dimensions and finds they can be useful despite not perfectly matching individual data.

This paper shows that individualized connectome harmonics reveal a hierarchical organization linking brain structure, function, and cognition across 875 participants.

This paper identifies optimal graph signal processing features for subject identification through large-scale comparative analysis of parameter choices and feature types.

The paper introduces micro-co-activation patterns (μCAPs) to analyze thalamic dynamics in 22q11.2DS, finding reduced co-activation of the mediodorsal thalamus with cortex and altered CAP shifts in psychosis severity.

The paper introduces an arrow-of-time sensitive metric to identify causal triggers of brain function in neuroimaging data, revealing more localized causal effects than traditional connectivity measures.

The paper investigates how dynamic functional brain networks contribute to the persistence of negative emotions over time, identifying key network interactions and their relationship to subjective affect.

The paper examines how brain functional connectivity changes after emotional and cognitive events, identifying specific co-activation patterns and their temporal dynamics.