Shan Siddiqi

The paper identifies an anxiety-related brain network that overlaps with Alzheimer's disease neurodegeneration and is associated with cognitive decline.

The paper identifies age-dependent neuromodulation targets for visual memory by analyzing stimulation and lesion connectivity across multiple datasets.

This study identifies a brain network associated with self-transcendence using lesion network mapping in patients with brain lesions.

The paper defends lesion network mapping by showing that it provides meaningful differences through specificity testing, refuting criticisms that it reflects normative connectome properties.

The paper identifies a convergent brain circuit modulated by neuromodulation techniques that reduces autonomic arousal in various conditions.

The paper evaluates how different censoring strategies affect cortical parcellations and TMS targets in rs-fMRI, finding that lenient censoring yields better results than strict censoring.

This paper develops a tree-based algorithm to identify personalized TMS targets for depression and anxiety by optimizing functional connectivity and scalp proximity.

This study evaluates the relationship between proximity to individualized functional targets (iFTs) and clinical outcomes in rTMS trials for treatment-resistant depression, finding no association between proximity and improved outcomes.

This study identifies a common brain circuit in the hippocampus associated with psychosis caused by lesions, suggesting it as a target for neuromodulation.

The paper identifies a brain network associated with religious fundamentalism using lesion data from two independent datasets, showing strong right hemisphere lateralization and reproducibility.

The paper identifies a brain network associated with novelty seeking, a stable personality trait, and suggests it as a target for transcranial magnetic stimulation.

This study identifies individualized rTMS targets for traumatic brain injury-associated depression using resting-state network mapping, showing improved connectivity after treatment.

This paper applies individualized resting-state network mapping to guide rTMS treatment for treatment-resistant depression in a retired NFL player, showing clinical improvement.