Emotionaldysfunctionisatthecoreofmanypsychiatricdisorders,inparticularfear,anxiety,post-traumatic, andmooddisorders.Describingtheneuralmechanismsassociatedwithemotionalprocessingisthereforea criticalissueinmentalhealthcare.Previousattemptstodefinetheneurophysiologyofhumanemotionsinthe cognitive neuroscience laboratory have been hampered by the unavailability of conceptual and methodological frameworks for studying complex emotional responses in context and with conflicting informationpresent.Theproposedresearchestablishesanoveltechniqueforcombiningelectrophysiological recordings, high in temporal precision, with functional brain imaging, which is high in spatial precision. This approach,calledsteady-statepotentialfrequency-tagging,achievesstimulusspecificity,temporal,andspatial resolutionacrossthewholebrain.Itisuniqueinthatitallowsresearcherstoidentifydistinctbrainnetworks selectivelyactivatedbydifferentelementsofacomplexvisualscene?evenwhentheelementsarespatially overlapping and accompanied by stimulation in other sensory modalities. We combine this innovative approachwithanovelconceptualframeworkthatconsiderschangesinvisualperceptionanactivepartofan observer?s emotional response, to address the following Aims: (1) We characterize the large-scale brain dynamics mediating the emotional response to an element that is embedded in a complex visual array. (2) We determine how conflicting appetitive and aversive information, visual and auditory, affects these brain dynamics. (3) Finally, we translate this novel method to socially anxious observers, testing mechanistic hypotheses regarding the interactive effects of trait anxiety and chronic stress on short-term reactivity to emotional challenge. The long-term clinical implications of the proposed research are manifold: For diagnosticassessmentandformonitoringtreatmentefficacy,aquantitativebrain-basedmarkerofemotional engagement opens avenues for objectively evaluating pre- to post-treatment changes in appetitive/aversive neural reactivity. It also enables measuring neural circuit function to enable quantitative measurements of specificpsychopathologyandforidentifyingtreatmenttargetsinapersonalizedmedicineframework.

Public Health Relevance

Emotionaldysfunctionisatthecoreofmanymentalhealthproblems,includingfear,anxiety,post-traumatic, and mood disorders. To enable objective measurement of emotional dysfunction in the brain, the proposed research defines the interactions between brain regions underlying emotional responses when observers view complex scenes containing pleasant, neutral, or unpleasant scene elements. We quantify brain interactionsinhealthyobserversandinthoseendorsinghighlevelsofsocialanxiety,toexaminethepotential clinicalrelevanceofourrecordings,aimingtodevelopamarkerofemotionalbraindysfunctionthatultimately canbeusedindiagnosisandtreatment.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH112558-04
Application #
9883648
Study Section
Special Emphasis Panel (ZMH1)
Program Officer
Simmons, Janine M
Project Start
2017-05-11
Project End
2022-02-28
Budget Start
2020-03-01
Budget End
2021-02-28
Support Year
4
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Florida
Department
Biomedical Engineering
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
969663814
City
Gainesville
State
FL
Country
United States
Zip Code
32611
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Thigpen, Nina N; Gruss, L Forest; Garcia, Steven et al. (2018) What does the dot-probe task measure? A reverse correlation analysis of electrocortical activity. Psychophysiology 55:e13058
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Thigpen, Nina N; Bradley, Margaret M; Keil, Andreas (2018) Assessing the relationship between pupil diameter and visuocortical activity. J Vis 18:7