The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia. - Aaron Alexander-Bloch; Renaud Lambiotte; Ben Roberts; Jay N. Giedd; Nitin Gogtay; Edward T. Bullmore (NeuroImage, 2012)

Volitional eyes opening perturbs brain dynamics and functional connectivity regardless of light input. - Tun Jao; Petra E. Vértes; Aaron Alexander-Bloch; I-Ning Tang; Ya-Chih Yu; Jyh-Horng Chen; Edward T. Bullmore (NeuroImage, 2013)

Default mode network abnormalities in posttraumatic stress disorder: A novel network-restricted topology approach. - Teddy J. Akiki; Christopher L. Averill; Kristen M. Wrocklage; J. Cobb Scott; Lynnette A. Averill; Brian Schweinsburg; Aaron Alexander-Bloch; Brenda Martini; Steven M. Southwick; John H. Krystal; Chadi G. Abdallah (NeuroImage, 2018)

On testing for spatial correspondence between maps of human brain structure and function. - Aaron Alexander-Bloch; Haochang Shou; Siyuan Liu; Theodore D. Satterthwaite; David C. Glahn; Russell T. Shinohara; Simon N. Vandekar; Armin Raznahan (NeuroImage, 2018)

Curation of BIDS (CuBIDS): A workflow and software package for streamlining reproducible curation of large BIDS datasets. - Sydney Covitz; Tinashe M. Tapera; Azeez Adebimpe; Aaron Alexander-Bloch; Maxwell A. Bertolero; Eric Feczko; Alexandre R. Franco; Raquel E. Gur; Ruben C. Gur; Timothy Hendrickson; Audrey Houghton; Kahini Mehta; et al. (NeuroImage, 2022)

Spatially-enhanced clusterwise inference for testing and localizing intermodal correspondence. - Sara Weinstein; Simon N. Vandekar; Erica B. Baller; Danni Tu; Azeez Adebimpe; Tinashe M. Tapera; Ruben C. Gur; Raquel E. Gur; John A. Detre; Armin Raznahan; Aaron Alexander-Bloch; Theodore D. Satterthwaite; et al. (NeuroImage, 2022)

Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects. - Jodie P. Gray; Jordi Manuello; Aaron Alexander-Bloch; Cassandra Leonardo; Crystal Franklin; Ki Sueng Choi; Franco Cauda; Tommaso Costa; John Blangero; David C. Glahn; Helen S. Mayberg; Peter T. Fox (Neuroinformatics, 2023)

Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. - Fengling Hu; Andrew A. Chen; Hannah Horng; Vishnu Bashyam; Christos Davatzikos; Aaron Alexander-Bloch; Mingyao Li; Haochang Shou; Theodore D. Satterthwaite; Meichen Yu; Russell T. Shinohara (NeuroImage, 2023)

Language Models for Automated Classification of Brain MRI Reports and Growth Chart Generation. - Maryam Daniali; Shivaram Karandikar; Dabriel Zimmerman; J. Eric Schmitt; Matthew J. Buczek; Benjamin Jung; Laura Mercedes; Jakob Seidlitz; Vanessa Troiani; Lena Dorfschmidt; Eren Kafadar; Remo Williams; et al. (CoRR, 2025)