Fox Lab

Translational Affective Neuroscience

about me

I am a assistant professor in the Psychology Department at UC Davis. I study the neuroscience of social and emotional behavior in both humans and nonhuman primates. My research is focused on emotional and social decision-making and the development of social anxiety disorder. This page mostly consists of some tutorials and thoughts that I consider interesting. Feel free to contact me with questions or comments.

You can find me on google scholar and find my CV here.

recent publications

  • Heller AS, Fox AS, Davidson RJ (2018). Parsing Affective Dynamics to Identify Risk for Mood and Anxiety Disorders. Emotion. In Press

  • Tillman RM, Stockbridge MD, Nacewicz BM, Torrisi S, Fox AS, Smith JF, Shackman AJ (2018). Intrinsic functional connectivity of the central extended amygdala. Human Brain Mapping. In Press

  • more publications

    Fox Lab Mission

    - - posted in thoughts

    Our feelings play a big role in our lives. Feelings help us choose, motivate our actions, and define our interactions with others. In this way, emotional tendencies define who we are now and who we are going to be in the future.

    In the Fox lab, we want to understand the neurobiology of “affective style”.

    Joining the Fox Lab

    - - posted in thoughts

    The Fox Lab is starting up at the University of California at Davis! We are looking for undergraduate, graduate, and post-doctoral team members.

    Meet Ned Kalin

    - - posted in news

    Mental illnesses exact a terrible toll on people, through lives lost to suicide, drug abuse and other maladaptive coping mechanisms. More than one quarter of Americans will suffer a diagnosable mental illness in their lifetime, and the most common of these are mood and anxiety disorders. As a former member of the Kalin lab, I am always happy to see Dr. Kalin talk the rationale for why we, as scientists, do what we do and the hope that our research can bring to the world.

    Click for the full article

    Researchers discover the brain origins of variation in pathological anxiety

    - - posted in news

    New findings from nonhuman primates suggest that an overactive core circuit in the brain, and its interaction with other specialized circuits, accounts for the variability in symptoms shown by patients with severe anxiety. In a brain-imaging study published in the Proceedings of the National Academy of Sciences (PNAS), researchers from the University of Wisconsin School of Medicine and Public Health describe work that for the first time provides an understanding of the root causes of clinical variability in anxiety disorders.

    Click for the full article

    Featured in iSGTW

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    Some of my research was recently featured in international science grid this week (iSGTW), an international weekly online publication that covers distributed computing and the research it enables. In this article, they summarize some of the ideas that have motivated out labs efforts to understand the heritability of brian function in relation to individual differences in anxiety, and how we have accomplished this with the help of the open science grid (OSG).

    Click for the full article

    Update: This research was just published in PNAS, see publications

    By using the tools provided by the OSG, we were able to use 231 years of computer time in under a month. As computing tools improve, our ability to ask questions that were previously untenable will only increase. This is an exciting time for sciece. :-D

    Visualizing the correlation of two volumes.

    - - posted in tutorials

    In neuroimaging, we often consider how a single variable affects every region of the brain, but rarely consider how these maps relate to each other. I wrote a little python code that lets me look that the correlation between two brain volumes.

    Read NIFTI in fmriStat.

    - - posted in tutorials

    If you have a need to run fmristat these days, it can be frustrating that it can’t read Nifti files. Using the libraries in surfStat, I added this functionality to fmriStat.