I am currently a Clinical Fellow and Assistant in Psychology at the Massachusetts General Hospital and Harvard Medical School, where I conduct research and clinical work jointly through the Bipolar Clinic and Research Program and the Division of Neurotherapeutics. I have called the Neurocognitive Therapies and Translational Research SIG my home at ABCT since 2007, and have been thrilled to see this SIG grow from a handful of fellow NTTR enthusiasts to an inspiring collection of leaders in the field, early career researchers, and up-and-coming next generation students. It is my firm belief that the work of NTTR SIG members will be paramount in developing the CBT of the future and moving the field of psychology forward.
Throughout my own experience in psychology so far, I have dedicated myself to the interdisciplinary integration of behavioral and neural science in the hopes of gaining a better understanding of the nature of psychological disorders, and to translate this knowledge into potential new approaches to intervention. During my doctoral training under the mentorship of David Barlow, I was one of the original developers of the Unified Protocol for Transdiagnostic Treatment of Emotional Disorders. This protocol was directly informed by affective neuroscience and emotion science more broadly, and what these disciplines were starting to inform us about core underlying processes driving psychopathology. My postdoctoral research focused on extending this protocol to patients with bipolar disorder with comorbid anxiety, and to use resting state fMRI to understand neural predictors of treatment response. Out of this research, I have been exploring the neural circuitry underlying severe emotion dysregulation across the spectrum of unipolar and bipolar mood disorders with comorbid anxiety, in order to understand potential barriers to CBT response, and to identify viable targets for novel interventions such as non-invasive neuromodulation. My future research program proposes to use non-invasive neuromodulation adjunctive to CBT as a method to improve CBT treatment response in more severe cases of psychopathology.
Kate Nooner, Ph.D. Membership/Treasury Chair
Hello NTTR SIG Members! My name is Kate Nooner and I am NTTR SIG treasurer. This is the third time that I have had the privilege of serving as treasure for an organization. So, I am confident in my management the financial assets and membership of our beloved NTTR SIG. I have been part of NTTR since 2013 and have enjoyed participating in the demo fair at our pre-conference meeting each year. In 2016, I organized our demo fair and it was totally awesome! When not helping with our SIG, I am an associate professor of psychology at the University of North Carolina Wilmington where I direct the Trauma and Resilience Lab. My lab focuses on using translational approaches, including EEG and neurofeedback, to improve outcomes for maltreated children, particularly related to the prevention of high risk alcohol and substance use. I have been fortunate to receive NIH-NIAAA funding for my research and to be part of the National Consortium on Alcohol and Neurodevelopment in Adolescence. You can learn more about me at: http://people.uncw.edu/noonerk/drnooner.html. When I’m not playing in the world of academic psychology, you can find me camping with my husband, two sons, and two dogs. I look forward to talking with you at our next NTTR SIG meeting. Please don’t hesitate to contact me with any membership-related questions at email@example.com.
John Richey, Ph.D. Representative-at-Large
John Richey is a clinical psychologist and assistant professor in the Department of Psychology at Virginia Tech. ABCT has been a professional home to John for more than 15 years. He has also been involved in the NT/TR SIG for more than 4 years, both as a contributor and as chair for various SIG-focused symposia. He has also been actively involved in leadership activities, through the ABCT Public Education and Media Dissemination (PEMD) and Social Networking committees. As such, John has a variety of linkages across multiple levels of leadership that will directly facilitate promotion of the interests and messages of our SIG into the ABCT mainstream, consistent with the role of SIG Representative-at-Large.
John received his Ph.D. from Florida State University in 2009, after completing a fellowship in anxiety disorders and neuroimaging at Boston University and MIT. From 2009 to 2011, John completed an NRSA institutional (T32) postdoctoral fellowship at the University of North Carolina – Chapel Hill and Duke University Brain Imaging and Analysis Center (BIAC), where he received training in cognitive neuroscience and human neuroimaging methods. As both a clinical psychologist and cognitive neuroscientist, John uses a wide range of methodological tools including fMRI, neuroeconomics, brain-computer interface (BCI), and low-dimensional computational modeling approaches to fMRI data. John is the author of more than 35 peer reviewed articles and book chapters and has received NIH/NIMH support for his ongoing research in these areas.
Senior Advisor to the Chair
Greg Siegle, Ph.D. Associate Professor
Department of Psychiatry University of Pittsburgh School of Medicine
Western Psychiatric Institute and Clinic 3811 O'Hara St
psychopathologies, including depression and anxiety, are disabling
disorders that affect a large portion of the population. Some of the
most clinically salient aspects of these disorders involve disruptions
in information processing, how people attend to, remember, and interpret
information, e.g., the tendency for depressed individuals to ruminate
on negative information. Moreover some of the most effective
interventions for psychopathology (e.g., cognitive therapy) are based on
changing aspects of how individuals process emotional information. Yet,
the roles of individual differences in information processing biases
and deficits in psychopathology are unclear. My research program is
devoted to understanding how individual differences in disruptions of
emotional information processing are related to affective
psychopathologies, particularly unipolar depression. Ultimately, this
research could lead to better understanding of the nature of affective
psychopathologies as well as methods for improving the speed and
effectiveness of interventions by tailoring them to account for
individual differences in information processing styles.
constraints help to make this research rigorous and interpretable.
First, the theoretical models I adopt must be physiologically motivated,
so as to allow integration of psychological and physiological
perspectives. Second, implementing analogs of the models as
computational neural networks helps to specify theories in an internally
consistent manner, i.e. so theoretical conclusions follow from
theoretical assumptions and so variables relevant to a rigorous
characterization of a theory have not been left out. Finally, model
predictions, generated by computational analogs, must be empirically
supported. This constraint leads to empirical advances in understanding
psychopathology and the use of valid models in developing novel
interventions. This process leads to a research cycle of model
specification, hypothesis generation, empirical testing, and model
overarching goal of the interdisciplinary research of the Rutgers
Anxiety and Aging Lab is to bridge applied and basic science to advance
our understanding of the nature and treatment of anxiety disorders. More
specifically, we apply findings from affective and cognitive
neuroscience to inform studies of cognitive behavior therapy (CBT) for
late life anxiety. Although cognitive behavioral interventions are effective for treating anxiety disorders, we know surprisingly little about exactly how and why these
interventions work. Moreover, we lack knowledge of the neurobiological
and cognitive processes involved in the maintenance, inflation, and
reduction of anxiety and fear. Testing evidence-based treatments is one
avenue for identifying and understanding factors that maintain and alter
anxiety, just as improving our basic understanding of anxiety can lead
to the development of more effective treatments. Our work makes use of
have placed particular emphasis on the role played by ‘executive
skills’ (complex cognitive skills governed by the prefrontal cortex such
as reasoning, dividing attention, and metacognition) because these
skills are known to be involved in the management and regulation of
negative emotional states, anxiety in particular. This line of inquiry
has naturally led to the study of older adults. Due to biological and
psychological events, the executive system and prefrontal cortex
typically begin to show decline in the
fifth to seventh decade of life, giving rise to wide-ranging variability
in executive skills across older individuals. We have found that worry,
the cardinal symptom of generalized anxiety disorder (GAD), is
positively associated with medial orbital cortex volumes and performance on the Stroop interference trial, suggesting that unlike some other anxiety disorders, GAD may be characterized by frontal overactivity.
continue to investigate and document the relationship of brain
structure and function to worry in late life GAD and other conditions.
We are currently analyzing functional magnetic resonance imaging (MRI)
data to assess the role of frontal lobe activity in worry and as a
predictor of treatment outcome, and to compare brain volumes and
neuropsychological performance across patient and age- and sex-matched
Andrew Peckham is a doctoral student in the Clinical Science program at the University of California-Berkeley, currently on internship at McLean Hospital/Harvard Medical School. Andrew has served as the SIG's Website Manager since 2009, and he previously served as the SIG's Graduate Student Representative from 2014-2016. Andrew’s research interests include information processing biases and emotion regulation in bipolar disorder, as well as the use of translational research methods to inform novel psychosocial interventions.