Photo of Matthew P. Gunn

Matthew P. Gunn PhD

Postdoctoral Research Associate, CoNECt Lab

Department of Psychiatry, University of Illinois Chicago

he/him

Contact

Email:

mgunn [at] uic.edu

Building & Room:

School of Public Health / Psychiatric Institute (SPHPI) 445

Address:

1601 W. Taylor St. SPHPI MC 912 Chicago IL 60612

Related Sites:

About

Matthew P. Gunn, PhD, is a Postdoctoral Research Associate in the CoNECt Lab within the Department of Psychiatry at the University of Illinois Chicago and an Affiliated Researcher in the Integrative Neuroscience Laboratory at Southern Illinois University Carbondale. He earned a PhD in Cognitive Neuroscience (2024) and an MA in Psychology (2021) from SIU Carbondale, where he also completed bachelor's degrees in Psychology and Chemistry/Biochemistry.

His research integrates EEG and fMRI, brain-network modeling, multimodal machine learning, and explainable AI to study salience and reward circuitry, addiction, depression, anxiety, and trait-like neural stability. He develops reproducible computational pipelines and open-source neuroimaging tools for resting-state, task-based, and source-space connectivity analyses. His broader goal is to clarify how stable neural architecture and state-dependent perturbations jointly shape behavior and clinical risk, advancing precision mental health and translational neurotechnology.

Undergraduate:

Southern Illinois University-Carbondale

Computational neuroscience; EEG and fMRI; functional connectivity and network neuroscience; salience, executive-control, default-mode, and reward circuits; machine learning and explainable AI; addiction; depression and anxiety; reproducible neuroimaging; precision mental health; translational neurotechnology; Archery; Axe Throwing.

Mood and anxiety connectomics.

Multimodal EEG/fMRI and machine-learning models of major depressive disorder, social anxiety disorder, and treatment-related brain-network change (R01 MH112705).

Cannabis reward and risk.

Acute THC effects on frontolimbic and striatal connectivity, affect, reward-related ERPs, and subjective response in young adults (K23 DA048132).

Smoking progression and nicotine reward.

Salience- and executive-control-network predictors of 18-month smoking trajectories, affective vulnerability, and genetic risk (R01 DA036032).

Withdrawal and relapse.

EEG, affective, and behavioral predictors of smoking relapse following nicotine deprivation (R03 DA052881).

ROIConnectGICA.

A reproducible framework for source-space EEG connectivity decomposition, empirical frequency-band definition, model selection, and network discovery.

  • Gunn, M. P., Anderson, Z., Jimmy, J., Ajilore, O., Klumpp, H., & Crane, N. A. (2026). Tuning the brain: Intrinsic resting-state connectomes distinguish major depressive disorder from social anxiety disorder in salience and limbic circuits. Journal of Affective Disorders, 412, 122087. DOI

    Gunn, M. P., Rose, G. M., Whitton, A. E., Pizzagalli, D. A., & Gilbert, D. G. (2026). Depression, anxiety, and genetics shape smoking risk through salience networks. Psychiatry Research: Neuroimaging, 360, 112202. DOI

    Anderson, Z., Gunn, M., Jones, E., Ajilore, O., Phan, K. L., de Wit, H., Klumpp, H., Calhoun, V., & Crane, N. A. (2025). Delta-9-tetrahydrocannabinol alters limbic and frontal functional brain connectomes among young adult cannabis users. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. DOI

    Gunn, M. P., Rose, G. M., Whitton, A. E., Pizzagalli, D. A., & Gilbert, D. G. (2024). Smoking progression and nicotine-enhanced reward sensitivity predicted by resting-state functional connectivity in salience and executive control networks. Nicotine & Tobacco Research, 26(10), 1305-1312. DOI

    Gunn, M. P., Rabinovich, N. E., Martens, K. M., Lindt, J. D., & Gilbert, D. G. (2022). Effects of cannabis-delivered THC on mood and negative attentional bias in the context of positive versus neutral alternatives: A pilot study. Human Psychopharmacology: Clinical and Experimental, 37(6), e2844. DOI

  • PubMed author search: Gunn MP

    Depression, anxiety, and genetics shape smoking risk (PMID 41950829)

    Delta-9-THC alters limbic and frontal functional connectomes (PMID 40957507)

    Smoking progression and nicotine-enhanced reward sensitivity (PMID 38624067)

    Cannabis-delivered THC, mood, and attentional bias (PMID 35451099)

Seminar has a video recordiing - Seminar has a video recordiing.

Date Topic Lecture/Seminar Series Status
01/18/2024 Resting-state functional connectivity predictors of nicotine relapse risk
  • Addiction Affinity Group
 Past Event