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

Zambrano-Vazquez, L., & Allen, J. J. (2014). Differential contributions of worry, anxiety, and obsessive compulsive symptoms to ERN amplitudes in response monitoring and reinforcement learning tasks. Neuropsychologia, 61, 197--209.
Allen, J. J., Iacono, W. G., & Danielson, K. D. (1992). The identification of concealed memories using the event-related potential and implicit behavioral measures: A methodology for prediction in the face of individual differences. Psychophysiology, 29(5), 504-522.

PMID: 1410180;Abstract:

The development and validation of an event-related potential (ERP) memory assessment procedure is detailed. The procedure identifies learned material with high rates of accuracy, whether or not subjects give intentional responses indicating they had previously learned it. Because the traditional analysis of variance approach fails to provide probabilistic conclusions about any given individual, Bayesian posterior probabilities were computed, indicating the probability for each and every person that material was learned. The method was developed on a sample of 20 subjects, and then cross- validated on two additional samples of 20 subjects each. Across the three samples, the method correctly defined over 94% of learned material as learned, and misclassified 4% of the unlearned material. Additionally, in a simple oddball task performed by the same subjects, the method classified rare and frequent material with perfect accuracy. Finally, combining two implicit behavioral measures-mean reaction time and the number of incorrect responses-in Bayesian fashion yielded classification accuracy that actually exceeded that of the ERP-based procedure overall, but the two methods provided identical accuracy in classifying the most critical material as recognized.

Allen, J. J. (2013). Never Trust the Polygraph. The Writ, the official publication of the Pima County Bar Association.
Kogan, A. V., Allen, J. J., & Weihs, K. L. (2012). Cardiac vagal control as a prospective predictor of anxiety in women diagnosed with breast cancer. Biological Psychology, 90(1), 105-111.

PMID: 22414745;Abstract:

Low cardiac vagal control (CVC) has been associated with state and trait anxiety and anxiety spectrum disorders. Studies indicate that diagnosis and treatments for breast cancer may be associated with anxiety. The current study examined whether CVC prospectively predicted a trajectory of change in anxiety following breast cancer diagnosis. Forty-three women diagnosed with non-metastatic breast cancer completed the Taylor Manifest Anxiety Scale and the Perceived Stress Scale, and a 5-min resting electrocardiographic (ECG) segment was recorded. Self-report measures were completed approximately every 3 months for a year. Respiratory sinus arrhythmia (RSA) significantly predicted the trajectory of change in anxiety over the follow-up period: participants with higher baseline RSA evidenced decreasing anxiety, whereas those with lower baseline RSA had increasing anxiety. These results are consistent with the hypothesis that CVC facilitates the modulation of anxiety in women coping with significant stressors of breast cancer diagnosis and treatment. © 2012 Elsevier B.V.

Chambers, A. S., & Allen, J. J. (2007). Sex differences in cardiac vagal control in a depressed sample: Implications for differential cardiovascular mortality. Biological Psychology, 75(1), 32-36.

PMID: 17204359;PMCID: PMC1885549;Abstract:

Previous studies suggest depression is a risk factor for all cause mortality, with depressed men at greater risk than depressed women. Diminished cardiac vagal control (CVC) in depressed patients has also been found to increase risk of cardiac mortality. Previous research found that depressed women have higher CVC than depressed men suggesting CVC might be related to the discrepancy in mortality rates between depressed men and women. This finding, however, was in the context of a study with several methodological weaknesses. The current study sought to replicate the sex difference in CVC in a sample of 137 medically healthy and clinically diagnosed depressed patients. Main effects of sex and age significantly predicted CVC such that depressed women had greater CVC and CVC decreased with age in the cross-sectional sample. The results suggest greater CVC in depressed women might confer cardioprotective functions, which may partially explain the sex difference in mortality rates in the depressed population. © 2006 Elsevier B.V. All rights reserved.