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

J., J. (2008). Not devoid of forensic potential, but. American Journal of Bioethics, 8(1), 27-28.
Smith, R., Allen, J. J., Thayer, J. F., & Lane, R. D. (2015). Altered functional connectivity between medial prefrontal cortex and the inferior brainstem in major depression during appraisal of subjective emotional responses: A preliminary study. Biological psychology, 108, 13--24.
Alkozei, A., Creswell, C., Cooper, P. J., & Allen, J. J. (2015). Autonomic arousal in childhood anxiety disorders: associations with state anxiety and social anxiety disorder. Journal of affective disorders, 175, 25--33.
Allen, J., Sbarra, D. A., & Allen, J. J. (2009). Decomposing depression: on the prospective and reciprocal dynamics of mood and sleep disturbances. Journal of abnormal psychology, 118(1).

Sleep disturbances are among the most common and debilitating aspects of major depressive disorder. In a sample of unmedicated adults experiencing a current depressive episode (N participants = 99, N data points = 428), the authors examined the longitudinal dynamics of sleep disturbances and mood symptoms across a 17-week acupuncture treatment study using latent difference score structural equation modeling. Results indicated that changes in sleep and mood disturbances could be characterized as a single bivariate system where low levels of mood symptoms lead to increases in sleep disturbances, whereas high levels of sleep disturbance exert a dampening effect on mood symptoms. Movement of the bivariate system toward or away from better outcomes depended on the precise combination of sleep-mood symptoms; without knowing the state and trajectory of both variables, predicting change in either sleep or mood symptoms was limited. The results have implications for better understanding the complexity and reciprocity of sleep-mood associations, as well as the dynamic, time-based predictors of depressive treatment response.

J., J., Schnyer, R. N., Chambers, A. S., Hitt, S. K., Moreno, F. A., & Manber, R. (2006). Acupuncture for depression: A randomized controlled trial. Journal of Clinical Psychiatry, 67(11), 1665-1673.

PMID: 17196044;Abstract:

Objective: To assess the efficacy of acupuncture as an intervention for major depressive disorder (MDD). Method: Acupuncture was examined in 151 patients with MDD (DSM-IV) who were randomly assigned to 1 of 3 groups in a double-blind randomized controlled trial. The specific intervention involved Traditional Chinese Medicine (TCM)-style acupuncture with manual stimulation for depression; the control conditions consisted of (1) a nonspecific intervention using a comparable number of legitimate acupuncture points not specifically targeted to depressive symptoms and (2) a waitlist condition, which involved waiting without intervention for 8 weeks. After 8 weeks, all patients received the depression-specific acupuncture. Each 8-week intervention regimen consisted of 12 acupuncture sessions delivered in an acupuncturist's office in the community. The primary outcome measure was the 17-item Hamilton Rating Scale for Depression. The study was conducted from February 1998 to April 2002. Results: Twenty patients terminated treatment before the completion of the 8-week intervention (13%) but not differentially by study group. Random regression models of the intent-to-treat sample revealed that although patients receiving acupuncture improved more than those awaiting intervention, no evidence of differential efficacy of the depression-specific over nonspecific intervention was found. Response rates in acupuncture-treated patients were relatively low after 8 weeks (22% and 39% for specific and nonspecific intervention groups, respectively), with the response rate after the entire 16-week trial reaching 50%. Conclusion: Although TCM manual acupuncture is a well-tolerated intervention, results fail to support its efficacy as a monotherapy for MDD. It can't be ruled out that factors unique to the implementation of acupuncture in this research study may have limited the efficacy of interventions compared to those provided in naturalistic settings.