Society for Affective Science!
March 2019

Our very own lab member, Yiyu Wang, was selected to give a flash talk for her poster being presented at the 2019 Society of Affective Science Convention. Check out her article below!

Wang, Y., Boatman, G., & Satpute, A. B. (2019). Different varieties of fear engage distinct distributed neural activation patterns. Society for Affective Science Conference Abstracts

Welcome new lab members!
January 2019

We welcomed four new members into the lab this semester. A lab manager, Kieran McVeigh, a post-doctorate, Kent Lee, and two undergraduate students, Alia Newman-Boulle and Maya Sundel. We are very excited to have them join the lab! For more individual information, check out our People page.

Night at the Discovery Science Museum
December 2018

The ABS Lab took part in the Meet the Scientists & Engineers. The event was held at the Discovery Science Museum in Acton, MA. The event was in partnership with NSF funded Pacific Science Center Portal to the Public Network. We presented on the psychology and neuroscience of fear to adults and children attendees for one evening.

Welcome new lab members!
September 2018

We welcomed three new members into the lab this semester.  A graduate student, Yiyu Wang, and two undergraduate students, Aditi Lohe and Carmen Bango. We are very excited to have them join the lab! For more individual information, check out our People page.

ABS Lab receives funding from NCI
August 2018

The ABS Lab received a $3,400,000 grant from the National Cancer Institute to study fundamental subcortical mechanisms in affective processing.

Deconstructing arousal into wakeful, autonomic and affective varieties
January 31, 2018

In this article, we review neuroscience findings for three of the most common origins of arousal: wakeful arousal, autonomic arousal, and affective arousal. Our review makes two overarching points. First, research conducted primarily in non-human animals underscores the importance of several subcortical nuclei that contribute to various sources of arousal, motivating the need for an integrative framework. We outline an integrative neural reference space as a key first step in developing a more systematic understanding of central nervous system contributions to arousal. Second, there is a translational gap between research on non-human animals, which emphasizes subcortical nuclei, and research on humans using non-invasive neuroimaging techniques, which focuses more on gross anatomical characterizations of cortical (e.g. network architectures including the default mode network) and subcortical structures. We forecast the importance of high-field neuroimaging in bridging this gap to examine how the various networks within the neural reference space for arousal operate across varieties of arousal-related phenomena.

Satpute, A. B., Kragel, P. A., Barrett, L. F., Wager, T. D., & Bianciardi, M. (2018). Deconstructing arousal into wakeful, autonomic and affective varieties. Neuroscience Letters

Historical Pitfalls in Emotion Research
November 1, 2017

In this article, we offer a brief history summarizing the last century of neuroscientific study of emotion, highlighting dominant themes that run through various schools of thought. We then summarize the current state of the field, followed by six key points for scientific progress that are inspired by a multi-level constructivist theory of emotion

Barrett LF, Satpute AB (2017) Historical pitfalls and new directions in the neuroscience of emotion.

ABS Lab receives funding from NSF
August 2017

The ABS Lab received a $999,000 grant from the National Science Foundation to study the neural bases of subjective experience through probabilistic models.

Contextual Connectivity
July 26, 2017

Investigations of the human brain’s connectomic architecture have produced two alternative models: one describes the brain’s spatial structure in terms of static localized networks, and the other describes the brain’s temporal structure in terms of dynamic whole-brain states. Here, we used tools from connectivity dynamics to develop a synthesis that bridges these models. Using resting fMRI data, we investigated the assumptions undergirding current models of the human connectome. Consistent with state-based models, our results suggest that static localized networks are superordinate approximations of underlying dynamic states. Furthermore, each of these localized, dynamic connectivity states is associated with global changes in the whole-brain functional connectome. By nesting localized dynamic connectivity states within their whole-brain contexts, we demonstrate the relative temporal independence of brain networks. Our assay for functional autonomy of coordinated neural systems is broadly applicable, and our findings provide evidence of structure in temporal state dynamics that complements the well-described static spatial organization of the brain.

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Ciric R, Nomi JS, Uddin LQ, Satpute AB (2017) Contextual connectivity: A framework for understanding the intrinsic dynamic architecture of large-scale functional brain networks. Scientific Reports 7:6537.