Publications, publicity, etc.

Papers & patents

Hemodynamic Cortical Ripples through Cyclicity Analysis.
Ivan Abrahan, Bahar Shahsavarani, Benjamin Zimmerman, Fatima Husain and Yuliy Baryshnikov.
Network Neuroscience 2024. To appear. Early access.

   - Preprint: Slow Cortical Waves via Cyclicity @ bioRxiv.

Comparing cyclicity analysis with pre-established functional connectivity methods to identify subject groups using resting state functional-MRI.
Somayeh Shahsavarani, Ivan Abraham, Benjamin Zimmerman, Yuliy Baryshnikov, Fatima Husain.
Frontiers in Computational Neuroscience 2020. Volume 13.
Link.

Dissociating tinnitus patients from healthy controls using resting-state cyclicity analysis and clustering.
Benjamin Zimmerman, Ivan Abraham, Sara Schmidt, Yuliy Baryshnikov, Fatima Husain.
Network Neuroscience 2019 3:1, 67-89.
Link.

Automated, Objective Method of Assessing Tinnitus Condition.
Fatima Husain, Yuliy Baryshnikov, Benjamin Zimmerman, Ivan Abraham.
US Patent No. 10,959,670 B2 issued March 2021 (filed as Application No. 16/196587 in November 2018).
Link.

Talks & podium presentations

Harmonizing resting state functional MRI data to find markers of tinnitus in brain connectivity using deep learning.
Ajmera S., Abraham, I., Husain F.T.
Tinnitus Research Initiative Conference 2024.
Vancouver, Canada. June 10-12, 2024.

Within-network functional connectivity reduced for auditory & attention networks in the presence of hearing loss.
Abraham I, Leaver A, Sutton B, Baryshikov Y, Peelle J, Husain F.
2023 Virtual Conference on Computational Audiology.
June 29-30, 2023.
Talk.

Test-retest reliability of tinnitus questionnaires and brain imaging measures at military and civilian sites.
Husain FT, Schmidt S, Zimmerman B, Tai Y, Shahsavarani S, Khan R, Abraham I, Ramos P, Wilson C, Granato E, Sherman P, Esquivel C.
Special Session on Blast-Induced Tinnitus, Military Health System Research Symposium (MHSRS).
Kissimmee, FL. August 19-22, 2018.

Poster presentations

Exploiting AI architecture to process and harmonize neuroimaging-based brain connectivity patterns in humans with phantom auditory perception.
Ajmera S., Abraham, I., Husain F.T.
Advances and Perspectives in Auditory Neuroscience 2024.
Chicago, USA. October 4. 2024

Harmonizing independent MRI datasets for greater statistical power in hearing research.
Abraham I, Ajmera S, Khan R, Leaver A, Peelle J, Sutton B, Husain FT.
46th Annual Midwinter Meeting of the Association for Research in Otolaryngology.
Orlando, FL. Feb 11-15, 2023.

Evaluating tinnitus functional connectivity.
Dhore T, Ajmera S, Abraham I, Khan R, Husain FT.
The 9th Annual BRAIN Initiative Meeting.
Bethesda, MD. June 12-13, 2023.

Cyclicity vs. similarity measures for fMRI resting state time series analysis.
Abraham IT, Shahsavarani S, Zimmerman B, Baryshnikov YM, Husain FT.
Session Title: Analytical Computational Models.
The 49th Annual Meeting, Society for Neuroscience.
Chicago, IL. October 19-23, 2019

Automated identification of tinnitus patients using replicable resting state fMRI data.
Husain FT, Zimmerman B, Abraham I, Schmidt S, Shahsavarani S, Khan R, Baryshnikov Y.
Sixth biennial conference on resting-state and brain connectivity.
Montreal, Quebec, Canada. September 26-28, 2018.

Classification of tinnitus patients vs. control subjects based on cyclicity analysis.
Abraham I, Zimmerman B, Schmidt S, Baryshnikov Y, Husain FT.
Inaugural Workshop on Brain Dynamics and Neurocontrol Engineering.
Washington University in St. Louis, MO. June 25-27, 2017.