John JB Allen

John JB Allen

Professor, Psychology
Distinguished Professor
Professor, BIO5 Institute
Member of the General Faculty
Professor, Neuroscience - GIDP
Member of the General Faculty
Member of the Graduate Faculty
Primary Department
Department Affiliations
Contact
(520) 621-7448

Work Summary

Depression is a major health problem that is often chronic or recurrent. Existing treatments have limited effectiveness, and are provided wihtout a clear indication that they will match a particular patient's needs. In this era of precision medicine, we strive to develop neurally-informed treatments for depression and related disorders.

Research Interest

Dr. Allen’s research spans several areas, but the main focus is the etiology and treatment of mood and anxiety disorders. His work focuses on identifying risk factors for depression using electroencephalographic and autonomic psychophysiological measures, especially EEG asymmetry, resting state fMRI connectivity, and cardiac vagal control. Based on these findings, he is developing novel and neurally-informed treatments for mood and anxiety disorders, including Transcranial Ultrasound, EEG biofeedback, and Transcranial Direct Current and Transcranial Alternating Current stimulation. Other work includes understanding how emotion and emotional disorders influence the way we make decisions and monitor our actions. Keywords: Depression, Neuromodulation, EEG, Resting-state fMRI

Publications

Accortt, E. E., & J., J. (2006). Frontal EEG asymmetry and premenstrual dysphoric symptomatology. Journal of Abnormal Psychology, 115(1), 179-184.

PMID: 16492109;Abstract:

Resting frontal electroencephalographic (EEG) asymmetry has been hypothesized to tap a diathesis toward depression or other emotion-related psychopathology. Frontal EEG asymmetry was assessed in college women who reported high (n = 12) or low (n = 11) levels of premenstrual negative affect. Participants were assessed during both the follicular and the late luteal phases of the menstrual cycle. Women reporting low premenstrual dysphoric symptomatology exhibited greater relative left frontal activity at rest than did women high in premenstrual dysphoric symptomatology, an effect that was not qualified by phase of cycle. Although women with extreme levels of symptomatology were assessed, the question of whether such symptoms qualified for premenstrual dysphoric disorder criteria was not assessed. These results are consistent with a diathesis-stress model for premenstrual dysphoric symptomatology. Copyright 2006 by the American Psychological Association.

Garriock, H. A., Allen, J. J., Delgado, P., Nahaz, Z., Kling, M. A., Carpenter, L., Burke, M., Burke, W., Schwartz, T., Marangell, L. B., Husain, M., Erickson, R. P., & Moreno, F. A. (2005). Lack of association of TPH2 exon XI polymorphisms with major depression and treatment resistance [3]. Molecular Psychiatry, 10(11), 976-977.
J., J., & Cohen, M. X. (2010). Deconstructing the "resting" state: Exploring the temporal dynamics of frontal alpha asymmetry as an endophenotype for depression. Frontiers in Human Neuroscience, 4.

PMID: 21228910;PMCID: PMC3017362;Abstract:

Asymmetry in frontal electrocortical alpha-band (8-13 Hz) activity recorded during resting situations (i.e., in absence of a specific task) has been investigated in relation to emotion and depression for over 30 years. This asymmetry reflects an aspect of endogenous cortical dynamics that is stable over repeated measurements and that may serve as an endophenotype for mood or other psychiatric disorders. In nearly all of this research, EEG activity is averaged across several minutes, obscuring transient dynamics that unfold on the scale of milliseconds to seconds. Such dynamic states may ultimately have greater value in linking brain activity to surface EEG asymmetry, thus improving its status as an endophenotype for depression. Here we introduce novel metrics for characterizing frontal alpha asymmetry that provide a more in-depth neurodynamical understanding of recurrent endogenous cortical processes during the resting-state. The metrics are based on transient ''bursts'' of asymmetry that occur frequently during the resting-state. In a sample of 306 young adults, 143 with a lifetime diagnosis of major depressive disorder (62 currently symptomatic), three questions were addressed: (1) How do novel peri-burst metrics of dynamic asymmetry compare to conventional fast-Fourier transform-based metrics? (2) Do peri-burst metrics adequately differentiate depressed from non-depressed participants? and, (3) what EEG dynamics surround the asymmetry bursts? Peri-burst metrics correlated with traditional measures of asymmetry, and were sensitive to both current and past episodes of major depression. Moreover, asymmetry bursts were characterized by a transient lateralized alpha suppression that is highly consistent in phase across bursts, and a concurrent contralateral transient alpha enhancement that is less tightly phase-locked across bursts. This approach opens new possibilities for investigating rapid cortical dynamics during resting-state EEG. © 2010 Allen and Cohen.

Allen, J. J., Chapman, L. J., & Chapman, J. P. (1987). Cognitive slippage and depression in hypothetically psychosis-prone college students. Journal of Nervous and Mental Disease, 175(6), 347-353.

PMID: 3585311;Abstract:

Subjects who scored deviantly high on the combined Perceptual Aberration-Magical Ideation (Per-Mag) Scale and subjects who scored low on the scale were compared on two putative measures of cognitive slippage - a continued word association task and a task of referential communication. The Per-Mag subjects performed more deviantly than did the control subjects on both tasks, but those Per-Mag subjects who also scored above the mean on the General Behavior Inventory (GBI) depression subscale were most deviant. The Per-Mag Scale and the GBI are recommended for concurrent use in mass screening to identify a group of individuals who exhibit signs of cognitive slippage and who may, therefore, be at risk for the development of severe psychopathology.

Allen, J. J., & Reznik, S. J. (2015). Frontal EEG asymmetry as a promising marker of depression vulnerability: summary and methodological considerations. Current opinion in psychology, 4, 93--97.