Between 50-66% of deaths caused by cancer could be prevented through behavioral modification. Accumulating evidence points towards a family of basic, affective psychological processes related to emotion, stress, and pain that influence behavioral choices, facilitating healthful choices or promoting unhealthful choices, and that have the capacity to influence key aspects of successful survivorship. While the links between affect and cancer-related decision making are becoming well-known, the research remains largely descriptive. A mechanistic understanding of these links is hampered by a major barrier: the neural circuitry underlying affective processing is still largely underspecified. A further barrierto progress is that subdomains of affective science including stress, emotion, and pain, have largely been studied independently of one another even though they overlap tremendously as psychological constructs. The historical divides that pose a critical barrier to using affective processes to improve cancer-related decision-making are exacerbated by a tendency for researchers to focus either on peripheral and central biomarkers of affect, but not to study them simultaneously. Our goal is to unify subdomains of affective processes into a common neural framework centered on subcortical brainstem regions that are known to be critically involved in affective processes, with a particular emphasis on the periaqueductal gray (PAG) which non-human animal research shows is a critical hub controlling autonomic output, analgesic responses, and other physiological responses during emotion, pain, and stress. Affective research in humans relies primarily on non-invasive neuroimaging techniques, but the spatial resolution of these techniques in prior work has been too small to examine the brainstem and particularly the PAG and its connectivity with any degree of specificity. We have developed an ultra-high field magnetic resonance imaging procedure at 7 Tesla that overcomes this problem.
In Specific Aim 1, we will map the structural and functional connectivity of the brainstem, with a focus on the PAG, within subcortical and cortical networks using anatomical, diffusion weighted, and resting state (task-independent) functional connectivity within a 7T imaging environment.
In Specific Aim 2, we will examine the functional organization of these brainstem networks across tasks that evoke stress, pain, and emotional experience to assess the construct validity of these three affective processes from a unified neuroscience perspective, and we further examine how these brainstem networks participate in executive function using a working memory task. Finally, in the Exploratory Aim, we will examine the extent to which peripheral physiological measurements (e.g., heart rate variability, skin conductance, respiratory rate) mediate the relation between brainstem network structure / activity and behavioral responses in each affective domain. Our main deliverable at the end of this R01 is a working neural theory of affective processes that can be used by cancer researchers to study the influence of affect on cancer-related decision making.

Public Health Relevance

Despite growing appreciation for the fact that affect (stress, emotions, and pain) influence cancer-related decision-making, the neural basis of affective processes remain largely underspecified, preventing people from using their affect in the service of behaviors that will promote prevention of, recovery from and survival of cancer. In this application, we plan to ultra high-resolution structural and functional imaging (7T scanner) to study the basic neural mechanisms of affect. The proposed research will provide basic information about how the brain creates feelings of stress, emotion and pain that up until now has only been possible to study in non- human animals, and this information will allow people to make better behavioral decisions related to cancer prevention, early diagnosis, good prognosis and quality of life upon cancer survival, enabling more 'personalized' care.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01CA193632-02
Application #
9265817
Study Section
Special Emphasis Panel (ZCA1-TCRB-Y (J3))
Program Officer
Tesauro, Gina M
Project Start
2016-04-22
Project End
2021-03-31
Budget Start
2017-04-01
Budget End
2018-03-31
Support Year
2
Fiscal Year
2017
Total Cost
$568,164
Indirect Cost
$84,870
Name
Northeastern University
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
001423631
City
Boston
State
MA
Country
United States
Zip Code
02115
Barrett, Lisa Feldman; Khan, Zulqarnain; Dy, Jennifer et al. (2018) Nature of Emotion Categories: Comment on Cowen and Keltner. Trends Cogn Sci 22:97-99
Siegel, Erika H; Sands, Molly K; Van den Noortgate, Wim et al. (2018) Emotion fingerprints or emotion populations? A meta-analytic investigation of autonomic features of emotion categories. Psychol Bull 144:343-393
Satpute, Ajay B; Kragel, Philip A; Barrett, Lisa Feldman et al. (2018) Deconstructing arousal into wakeful, autonomic and affective varieties. Neurosci Lett :
Chanes, Lorena; Wormwood, Jolie Baumann; Betz, Nicole et al. (2018) Facial expression predictions as drivers of social perception. J Pers Soc Psychol 114:380-396
Kragel, Philip A; Kano, Michiko; Van Oudenhove, Lukas et al. (2018) Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex. Nat Neurosci 21:283-289
Hoemann, Katie; Feldman Barrett, Lisa (2018) Concepts dissolve artificial boundaries in the study of emotion and cognition, uniting body, brain, and mind. Cogn Emot :1-10
Kragel, Philip A; Koban, Leonie; Barrett, Lisa Feldman et al. (2018) Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging. Neuron 99:257-273
Barrett, Lisa Feldman; Satpute, Ajay B (2017) Historical pitfalls and new directions in the neuroscience of emotion. Neurosci Lett :
Barrett, Lisa Feldman (2017) Categories and Their Role in the Science of Emotion. Psychol Inq 28:20-26
Kleckner, Ian R; Zhang, Jiahe; Touroutoglou, Alexandra et al. (2017) Evidence for a Large-Scale Brain System Supporting Allostasis and Interoception in Humans. Nat Hum Behav 1:

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