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Principal Investigator: PEARL H CHIU
Organization: VIRGINIA POLYTECHNIC INST AND ST UNIV
Fiscal Year: 2024
Award: $624,302
Funding agency: National Institute on Alcohol Abuse and Alcoholism
PROJECT SUMMARY
Social isolation is associated with excessive alcohol use, depression, anxiety, and other poor outcomes (e.g.,
Daeppen et al., 2013; Moos et al., 2001; Muller et al., 2017; Zuckermann et al., 2020). Substantial variability also
exists in these associations, such that individuals with limited social ties do experience positive outcomes and
socially connected individuals similarly do experience negative outcomes (Bond et al., 2007; Bryan et al., 2017;
Eddie & Kelly, 2017; Spohr et al., 2019). Despite the importance of social factors in alcohol use and related
outcomes, the mechanisms via which social connectedness or isolation yield positive and negative outcomes
remains largely unexplored, in part due to difficulties eliciting and quantifying interpersonal processes in a
parametric manner. We have previously shown that sensitivity to social signals may be parameterized in the
context of interactive behavioral economic games and provide powerful tools with which to examine sources of
variability and potential mechanisms through which social preferences are related to mental health (Chung et
al., 2015; Chiu et al., 2008; King-Casas et al., 2005, 2008; King-Casas & Chiu, 2012). Here, we use these tools
to test the possibility that sensitivity to social signals in the context of social interaction influences how social ties
yield variability in alcohol use, mood, and anxiety.
To examine associations among social connectedness, sensitivity to social signals, and outcomes, we combine
a longitudinal cohort design including time-lagged mediation analyses, functional neuroimaging, and a behavioral
economic social exchange task. We will assess these associations (i) contemporaneously in Aim 1, (ii) over time
in Aim 2, and (iii) following social restrictions related to COVID-19 in a large online sample in Aim 3. The broad
hypothesis is that sensitivity to social signals (as measured by neurocomputational indices) will both moderate
and mediate associations between social ties and alcohol use and related outcomes. The work is submitted in
response to PAR-19-373 requesting applications addressing basic mechanisms of social connectedness,
connection, and isolation, including those related to COVID-19. The application further is in line with specific
interests of NIAAA and NIMH and in “mechanistic studies of the biopsychosocial causes and effects of social
connection and isolation” and “behavioral [and] neurobiological mechanisms of social connection and isolation
leading to alcohol use, addiction, or cessation of consumption.”
Terms: <Address><Alcohol Chemical Class><Alcohol Drinking><Alcohol consumption><Alcoholism><Alcohols><Anxiety><Behavioral><Brain><Brain Nervous System><COVID-19><CV-19><Cell Communication and Signaling><Cell Signaling><Characteristics><Computer Models><Computerized Models><Consumption><Coronavirus Infectious Disease 2019><Encephalon><Enrollment><Equation><EtOH drinking><EtOH use><Human><Individual><Intracellular Communication and Signaling><Life><Link><Long-term cohort><Longitudinal cohort><Longterm cohort><Measures><Mechanics><Mediating><Mediation><Mental Depression><Mental Health><Mental Hygiene><Modeling><Modern Man><Moods><NIAAA><NIH RFA><NIMH><National Institute of Mental Health><National Institute on Alcohol Abuse and Alcoholism><Negotiating><Negotiation><Outcome><Participant><Persons><Physical distancing><Play><Probabilistic Models><Probability Models><Procedures><Process><Psychological Health><Reporting><Request for Applications><Role><Sampling><Signal Transduction><Signal Transduction Systems><Signaling><Social Distance><Social Functioning><Social Interaction><Social isolation><Social outcome><Source><Specific qualifier value><Specified><Statistical Models><Testing><Time><Trust><Visit><Work><addiction><addictive disorder><alcohol ingestion><alcohol intake><alcohol product use><alcohol use><alcoholic beverage consumption><alcoholic drink intake><behavior response><behavioral economics><behavioral response><biological signal transduction><biopsychosocial><computational modeling><computational models><computer based models><computerized modeling><coronavirus disease 2019><coronavirus disease-19><coronavirus infectious disease-19><depression><design><designing><enroll><ethanol consumption><ethanol drinking><ethanol ingestion><ethanol intake><ethanol product use><ethanol use><experience><function socially><functioning social><indexing><interest><mechanic><mechanical><neural><neural imaging><neuro-imaging><neurobiological mechanism><neuroimaging><neurological imaging><physical conditioning><physical health><preference><recruit><response><satisfaction><social><social factors><social influence><social role><social structural><social structure><socio-structural><sociostructural><statistical linear mixed models><statistical linear models><tool>