Soroosh Afyouni

Functional connectivity alterations of the temporal lobe and hippocampus in semantic dementia and Alzheimer's disease

This study compares functional connectivity in temporal lobe regions between Alzheimer's disease, semantic dementia, and healthy controls, identifying shared and distinct patterns of dysconnectivity.

Confound modelling in UK Biobank brain imaging

This paper identifies and analyzes potential confounds in UK Biobank brain imaging data, emphasizing their impact on statistical analyses and suggesting considerations for future studies.

How does group differences in motion scrubbing affect false positives in functional connectivity studies?

The paper shows that group differences in motion scrubbing can inflate false positives in functional connectivity studies due to differences in temporal auto correlation modeling.

Multi-Subject Stochastic Blockmodels for Adaptive Analysis of Individual Differences in Human Brain Network Cluster Structure.

This paper introduces multi-subject stochastic blockmodels to analyze individual differences in brain network cluster structure, showing improved accuracy and robust statistical inference.

Effective Degrees of Freedom of the Pearson’s Correlation Coefficient under Autocorrelation

The paper addresses the issue of biased standard errors in Pearson's correlation coefficient for fMRI time series with autocorrelation, proposing a new xDF method to improve rsFC inferences.

Directed functional connectivity using dynamic graphical models

This paper introduces dynamic graphical models for directed functional connectivity and evaluates their performance using simulated and human fMRI data.

Insight and Inference for DVARS

This paper introduces a variance decomposition framework for rs-fMRI data that redefines DVARS and provides statistical methods to assess scan quality.