Individuals affected by psychosis spectrum disorders (such as schizophrenia, schizoaffective disorder, bipolar disorder) experience more negative affect (such as sadness, anxiety, distress) more than those not affected by psychopathology. Our ongoing project aims to understand what underlies this stress-vulnerability to negative affect in psychosis spectrum disorders using electroencephalogram (EEG), laboratory interviews and questionnaires, ecological momentary assessment (EMA), and statistical modeling.
Relevant manuscripts:
Bornheimer, L. A., Martz, M. E., Suzuki, T., Tso, I. F., Burton, C. Z., Li Verdugo, J., Grove, T., Heitzeg, M. M., & Taylor, S. F. (in press). Affective dysregulation precedes emergence of psychosis-like experiences in a community sample of young adults. Schizophrenia Bulletin. https://doi.org/10.1093/schbul/sbac015
Kline, C., Suzuki, T., Sommonite, M., & Taylor, S. F. (In press). Catatonia is Associated with Higher Rates of Negative Affect amongst Patients with Schizophrenia and Schizoaffective Disorder. Schizophrenia Research.
EEG records electrical current emitted from brain activities at the scalp. It is a relatively cheap and well-tolerated method to measure brain activities that provides a unique perspective at the milliseconds precision. Researchers have used EEG to understand many forms of cognitive functioning and to understand brain activities that might underlie various forms of psychopathology. Our research also investigates the relations of EEG activities to personality and psychopathology and also their properties (e.g., in emotional and social contexts, psychometrics). We quantify EEG as event-related potentials (ERPs) as well as oscillatory activities using time-frequency decomposition.
Relevant manuscripts:
Suzuki, T., Gu, P., Grove, T., Hammond, T., Collins, K., Pamidighantam, P., Arnold, P., Taylor, S., Liu, Y., Gehring, W., Hanna, G., & Tso., I. (2022). Abnormally enhanced midfrontal theta-band activity during response monitoring in children with obsessive-compulsive disorder. Biological Psychiatry. https://doi.org/10.1016/j.biopsych.2022.10.020
Menkes, M., Andrews, C., Suzuki, T., Chun, J., O'Donnell, L. A., Grove, T. B., Deng, W., McInnis, M. G., Deldin, P. J., Tso, I. F. (2022). Event-related potential correlates of affective response inhibition in bipolar I disorder: Comparison with schizophrenia. Journal of Affective Disorders, 309, 131-140. https://doi.org/10.1016/j.jad.2022.04.118
Suzuki, T., Ait Oumeziane, B., Novak, K., Samuel, D. B., & Foti, D. (2020). Error-monitoring across social and affective processing contexts. International Journal of Psychophysiology, 150, 37–49. https://doi.org/10.1016/j.ijpsycho.2020.01.009
Suzuki, T., Novak, K. D., Oumeziane, B. A., Foti, D., & Samuel, D. B. (2020). The hierarchical structure of error-related negativities elicited from affective and social stimuli and their relations to personality traits. Personality Neuroscience, 3. https://doi.org/10.1017/pen.2020.15
Researchers and clinicians use questionnaires and interviews as their primary methods to assess participant/client/patient subjective experiences and make diagnoses. Therefore, it is of utmost importance to make sure that these assessment methods are assessing psychological and psychopathology constructs as intended (e.g., validity, no bias against any specific group). Otherwise, we could come to incorrect conclusions due to the wrong assumptions made about the measurement method. Our research applies latent variable modeling and psychometric techniques to various measures and topics, including EEG, child problem behaviors, and suicide, to investigate their appropriateness as individual differences measures and to gain further insight into these constructs.
Relevant manuscripts:
Suzuki, T., Hill, K., Ait Oumeziane, B., Foti, D., & Samuel, D. B. (2019). Bringing the brain into personality assessment: Is there a place for event-related potentials? Psychological Assessment, 31, 488-501. https://doi.org/10.1037/pas0000611
Muehlenkamp, J. J., Suzuki, T., Brausch, A. M., & Peyerl, N. (2019). Behavioral functions underlying NSSI and eating disorder behaviors. Journal of Clinical Psychology, 75, 1219-1232. https://doi.org/10.1002/jclp.22745
Suzuki, T., Comtois, K. A., Dickens, H., & Bagge, C. L. (2021). Motivations for suicide attempts amongst psychiatric inpatients: Associations with risk factors and recent suicide attempt characteristics. Psychiatry Research, 295, 113574. https://doi.org/10.1016/j.psychres.2020.113574
Neo, W. S., Suzuki, T., & Kelleher, B. L. (2021). Structural validity of the Child Behavior Checklist (CBCL) for preschoolers with neurogenetic syndromes. Research in Developmental Disabilities, 109, 103834. https://doi.org/10.1016/j.ridd.2020.103834
The traditionally-defined 10 categorical PDs have been known for high co-occurence (diagnosis of multiple disorders) and hetereogenetiy (different symptoms across people even with the "same" disorder), among others. Recognizing this issue, the DSM-5, published in 2013, proposed a new transdiagnostic dimensional model called "the Alternative DSM-5 Model for Personality Disorders (AMPD)". However, this model was not included in the official diagnostic section (Section II), partly due to lack of research and knowledge on this new model. For decades, the Five-Factor Model (FFM) of general personality has also been investigated as a foundation for a transdiagnostic dimensional framework to understand PDs. The FFM is the most researched personality model with a rich literature. Therefore, linking the AMPD to FFM would facilitate and expedite our understanding of this new model. Our work has demonstrated that four of the five AMPD and FFM domains are essentially the same constructs, while the psychoticism vs. openness to experience pair to be the only exception.
Relevant manuscripts:
Suzuki, T., Samuel, D. B., Pahlen, S., & Krueger, R. F. (2015). DSM-5 alternative personality disorder model traits are maladaptive extreme variants within the five-factor model: An item-response theory analysis. Journal of Abnormal Psychology, 124, 343-354. https://doi.org/10.1037/abn0000035
Suzuki, T., Griffin, S. A., & Samuel, D. B. (2017). Capturing the DSM-5 alternative personality disorder model traits in the five-factor model’s nomological net. Journal of Personality, 85, 220-231. https://doi.org/10.1111/jopy.12235
Suzuki, T., South, S. C., Samuel, D. B., Wright, A. G. C., Yalch, M. M., Hopwood, C. J., & Thomas, K. M. (2019). Measurement invariance of the DSM–5 Section III pathological personality trait model across sex. Personality Disorders: Theory, Research, and Treatment, 10, 114–122. https://doi.org/10.1037/per0000291
Personality traits are stable individual differences that can predict various life outcomes. Even though treatment tends to be guided by diagnoses, personality traits could provide another set of information that clinicians can use to guide their treatments. We found that personality traits predict different outcomes in useful ways, which could be used to individualize treatment based on the client's personality profile.
Relevant manuscripts:
Samuel, D. B., Bucher, M. A., & Suzuki, T. (2018). A preliminary probe of personality predicting psychotherapy outcomes: Perspectives from therapists and their clients. Psychopathology, 51, 122-129. https://doi.org/10.1159/000487362
Bucher, M. A., Suzuki, T., & Samuel, D. B. (2019). A meta-analytic review of personality traits and their associations with mental health treatment outcomes. Clinical Psychology Review, 70, 51-63. https://doi.org/10.1016/j.cpr.2019.04.002