Caroline Lea‐Carnall

This study finds that adolescents with Neurofibromatosis Type 1 have higher aperiodic EEG activity, consistent with increased inhibitory tone, but no cognitive performance differences.

This study uses fMRI and DCMs to compare frontoparietal network connectivity during working memory in NF1 adolescents and neurotypical controls, finding increased intrinsic connectivity in NF1 with mixed modulatory effects.

This paper shows that rhythmic stimulation of STN and GPe can modulate pathological synaptic connectivity through inhibitory plasticity, reducing excessive beta oscillations in Parkinson's disease models.

This paper uses a physics-based model of brain networks to show that frequency-selective stimulation entrains specific sub-networks, with lower frequencies promoting broader synchrony and higher frequencies producing localized effects, determined by network structure and oscillatory dynamics.

This study identifies altered functional connectivity and network controllability in NF1 adolescents during working memory tasks, which predict cognitive performance and distinguish NF1 from controls.

This study uses a human connectome-coupled oscillators model to show that multiple coherent subnetworks emerge at maximum spectral entropy, reflecting brain metastability and cognitive flexibility.

This study investigates how non-invasive brain stimulation affects effective connectivity during working memory in NF1 patients, finding changes in fronto-striatal connectivity and associations with GABA levels.

The paper develops a mean-field model to link neurotransmitter dynamics at the microscopic level to fMRS signals, showing how neural activity affects observed MRS signals.