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

Allen, J., Trujillo, L. T., & Allen, J. J. (2007). Theta EEG dynamics of the error-related negativity. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 118(3).

The error-related negativity (ERN) is a response-locked brain potential (ERP) occurring 80-100ms following response errors. This report contrasts three views of the genesis of the ERN, testing the classic view that time-locked phasic bursts give rise to the ERN against the view that the ERN arises from a pure phase-resetting of ongoing theta (4-7Hz) EEG activity and the view that the ERN is generated - at least in part - by a phase-resetting and amplitude enhancement of ongoing theta EEG activity.

Cavanagh, J. F., Bismark, A. J., Frank, M. J., & J, J. (2011). Larger error signals in major depression are associated with better avoidance learning. Frontiers in Psychology, 2(NOV).

PMID: 22084638;PMCID: PMC3210982;Abstract:

The medial prefrontal cortex (mPFC) is particularly reactive to signals of error, punishment, and conflict in the service of behavioral adaptation and it is consistently implicated in the etiology of major depressive disorder (MDD). This association makes conceptual sense, given that MDD has been associated with hyper-reactivity in neural systems associated with punishment processing. Yet in practice, depression-related variance in measures of mPFC functioning often fails to relate to performance. For example, neuroelectric reflections of mediofrontal error signals are often found to be larger in MDD, but a deficit in post-error performance suggests that these error signals are not being used to rapidly adapt behavior. Thus, it remains unknown if depression-related variance in error signals reflects a meaningful alteration in the use of error or punishment information. However, larger mediofrontal error signals have also been related to another behavioral tendency: increased accuracy in avoidance learning. The integrity of this error-avoidance system remains untested in MDD. In this study, EEG was recorded as 21 symptomatic, drug-free participants with current or past MDD and 24 control participants performed a probabilistic reinforcement learning task. Depressed participants had larger mid-frontal EEG responses to error feedback than controls. The direct relationship between error signal amplitudes and avoidance learning accuracy was replicated. Crucially, this relationship was stronger in depressed participants for high conflict "lose-lose" situations, demonstrating a selective alteration of avoidance learning. This investigation provided evidence that larger error signal amplitudes in depression are associated with increased avoidance learning, identifying a candidate mechanistic model for hypersensitivity to negative outcomes in depression. © 2011 Cavanagh, Bismark, Frank and Allen.

Gallagher, S. M., Allen, J. J., Hitt, S. K., Schnyer, R. N., & Manber, R. (2001). Six-month depression relapse rates among women treated with acupuncture. Complementary Therapies in Medicine, 9(4), 216-218.

PMID: 12184348;Abstract:

Conventional treatments for Major Depression, although reasonably effective, leave many without lasting relief. Alternative approaches would therefore be welcome for both short- and long-term treatment of depression. Thirty-eight women were randomized to one of three treatment conditions in a double-blind randomized controlled trial of acupuncture in depression. All participants eventually received eight weeks of acupuncture treatment specifically for depression. From among the 33 women who completed treatment, 26 (79%) were interviewed at six-month follow-up. Relapse rates were comparable to those of established treatments, with four of the 17 women (24%) who achieved full remission at the conclusion of treatment experiencing a relapse six months later. Compared to other empirically validated treatments, acupuncture designed specifically to treat major depression produces results that are comparable in terms of rates of response and of relapse or recurrence. These results suggest a larger trial of acupuncture in the acute- and maintenance-phase treatment of depression is warranted. © 2002 Elsevier Science Ltd. All rights reserved.

Allen, J. J. (2002). The role of psychophysiology in clinical assessment: ERPs in the evaluation of memory. Psychophysiology, 39(3), 261-280.

PMID: 12212646;Abstract:

Psychophysiological measures hold great potential for informing clinical assessments. The challenge, before such measures can be widely used, is to develop test procedures and analysis strategies that allow for statistically reliable and valid decisions to be made for any particular examinee, despite large individual differences in psychophysiological responding. Focusing on the evaluation of memory in clinical, criminal, and experimental contexts, this paper reviews the rationale for and development of ERP-based memory assessment procedures, with a focus on methods that allow for statistically supported decisions to be made in the case of a single examinee. The application of one such procedure to the study of amnesia in Dissociative Identity Disorder is highlighted. To facilitate the development of other psychophysiological assessment tools, psychophysiological researchers are encouraged to report the sensitivity and specificity of their measures where possible.

Smith, E. E., Reznik, S. J., Stewart, J. L., & Allen, J. J. (2017). Assessing and conceptualizing frontal EEG asymmetry: An updated primer on recording, processing, analyzing, and interpreting frontal alpha asymmetry. International Journal of Psychophysiology, 111, 98--114.