Alex Fornito

This study shows that neuroimaging studies in clinical populations require hundreds, not thousands, of participants to achieve reproducible results due to larger effect sizes.

This study develops a model to capture wiring cost and topological complexity in human brain connectivity but finds models struggle to capture spatial embedding.

This study shows that Gpr88 deletion increases motivational drive in both sexes and impairs cost/benefit decision making in males, without affecting striatal dopamine function.

This paper shows that fMRI preprocessing choices significantly affect dynamical models of brain activity, highlighting the importance of data quality in model accuracy.

This study identifies a robust neural network associated with error awareness using a large fMRI dataset from a Go/No-Go task.

This study investigates whether cTBS over the dorsolateral prefrontal cortex affects GABA concentration, functional connectivity, and working memory, finding no significant changes.

The paper develops the abagen toolbox to standardize imaging transcriptomics workflows and shows that methodological variability significantly affects research outcomes using the Allen Human Brain Atlas.

This study shows that regional transcriptional heterogeneity in excitatory and inhibitory receptor gene expression improves the accuracy of models of brain functional connectivity and supports complex neuronal dynamics.

This study identifies genetic influences on hub connectivity in the human connectome using diffusion-weighted imaging in twins and transcriptomic data.

The paper identifies and addresses statistical biases in gene-set enrichment analysis of brain-wide transcriptomic data, introducing new null models to reduce false positives.

This study investigates the relationship between TEPs and conditioned-MEPs to determine if they reflect the same cortical response following TMS.

The paper examines how transcriptional gradients scale with brain size during mouse development and finds an exponential distance rule for gene expression that scales with brain dimensions.

This study investigates the effects of multi-day rTMS on functional connectivity and associative memory, finding no long-term memory improvement but site-specific short-term connectivity changes.

This study evaluates how different preprocessing steps affect motion-related contamination in diffusion MRI structural connectivity estimates, finding that specific motion correction methods significantly reduce cross-subject correlations between motion and connectivity strength.

This paper uses a meta-analytic network mapping approach to show that gray matter volume increases and decreases in psychiatric disorders are statistically related across different brain regions.

This study shows that individual differences in haemoglobin levels affect BOLD fMRI functional connectivity and its relationship with cognition, with sex-specific patterns observed.

The paper introduces DiCER, an alternative to global signal regression for removing signal deflections in fMRI data, showing improved performance in reducing artifacts and improving functional connectivity analysis.

The paper shows that fMRI timescales correlate with structural connectivity strength in humans, mirroring findings in mice.

The paper examines how impulsivity and compulsivity dimensions in OCD and GD correlate with CSTC circuit connectivity, finding continuous distributions and shared connectivity patterns across disorders.

This study characterizes and minimizes sensory input contributions to TMS-evoked potentials using control conditions and filters, finding that SSP-SIR best reduces sensory signals while preserving relevant data.

The paper examines the relationship between functional connectivity of corticostriatal circuits and subclinical psychosis-like experiences in a community sample.

This paper outlines a seven-step pipeline for integrating brain-wide gene expression and neuroimaging data and evaluates how processing choices affect results.

This study examines how varying intervals between intermittent theta burst stimulation (iTBS) blocks affects cortical plasticity, finding that longer intervals increase excitatory facilitation but with significant individual variability.

This paper reviews TMS paradigms and develops biophysically-based models to understand how LTP/LTD modulate population-level neuronal activity in response to TMS.

The paper shows that hub neurons in the C. elegans connectome have tightly coupled gene expression, which is linked to their role as command interneurons regulating locomotion.

This paper evaluates motion correction strategies for resting-state fMRI, finding that no single method is optimal and that preprocessing significantly affects results.

The paper examines the relationship between structural connectome topology and regional BOLD signal dynamics in the mouse brain, finding strong correlations between weighted in-degree and fMRI time series autocorrelation.