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Elucidating the relationship between decision-making under second-order uncertainty and dimensions of negative affect using computational modeling

Award Number: R01MH122558
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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Project Abstract Computational modeling can help us formalize how choice behaviors can be optimally adapted to different situations and investigate the ways in which individuals deviate from optimal behavior. Both anxious and depressed individuals report difficulties with decision-making; these difficulties have consequences for social interactions and occupational function. Understanding whether anxiety and depression are associated with common or unique deficits in decision-making has been hampered by studies focusing on either anxiety or depression alone and overlooking issues of comorbidity. This is important to address to better identify which aspects of decision-making should be targets for intervention in different patient groups. The separate investigation of anxiety- and depression-related deficits in decision-making has also led to a lack of equivalence of tasks and limited use of both reward-related and aversive outcomes within the same study. In the proposed research, we will conduct bifactor analysis of item-level responses to anxiety and depression questionnaires and use participant scores on the dimensions obtained to interrogate whether deficits in decision- making under second-order uncertainty are common to both anxiety and depression or unique to one or the other. We focus upon second-order uncertainty as this characterizes many of the situations we encounter in every-day life but there has been limited investigation of whether anxiety or depression are linked to deficits in adjusting decision-making to second-order uncertainty. Second-order uncertainty arises both when the probability of our actions resulting in certain outcomes changes across time (volatility) and when information needed to estimate how likely a given action is to lead to a given outcome is not fully available (ambiguity). In the proposed studies, we will use volatility and ambiguity manipulations to examine whether deficits in decision-making under second-order uncertainty are common to both anxiety and depression or unique to one or other and whether such deficits are domain general or domain specific (vary by outcome type: aversive, reward gain or reward loss). On-line studies will be used to conduct replication work and to examine if impaired decision-making under second-order uncertainty is primarily linked to internalizing symptomatology or common to a broader range of psychopathology. These online studies will also enable us to test exploratory hypotheses pertaining to other dimensions of psychopathology. Understanding the extent to which alterations in decision- making under second order uncertainty are unique to anxiety or depression, common to both anxiety and depression (i.e. a transdiagnostic marker of Internalizing psychopathology), or associated with psychopathology more broadly is important to clarify so that we can better tailor cognitive and psycho- educational interventions to different patient groups. It may also help clarify whether existing interventions developed in relation to anxiety (e.g. CBT focusing on ambiguity aversion) might valuably be applied to other forms of psychopathology.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = $451,688 )
2024	2024	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	000	4	2/14/2024	NON-COMPETING CONTINUATION	$451,688
														Subtotal = $451,688

Issue Date FY: 2023 ( Subtotal = $437,244 )
2023	2023	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	000	3	2/20/2023	NON-COMPETING CONTINUATION	$437,244
														Subtotal = $437,244

Issue Date FY: 2022 ( Subtotal = $461,534 )
2022	2022	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	000	2	1/27/2022	NON-COMPETING CONTINUATION	$415,380
2022	2022	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 201	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	001	2	6/7/2022	NON-COMPETING CONTINUATION	$46,154
														Subtotal = $461,534

Issue Date FY: 2021 ( Subtotal = $509,912 )
2021	2021	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 220	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	001	1	5/12/2021	NEW	$0
2021	2021	REGENTS OF THE UNIVERSITY OF CALIFORNIA, THE	1608 4TH ST STE 220	BERKELEY	CA	94710	ALAMEDA	USA	Mental Health Research Grants	000	1	3/2/2021	NEW	$509,912
														Subtotal = $509,912

Grand Total All Awards = $1,860,378

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Elucidating the relationship between decision-making under second-order uncertainty and dimensions of negative affect using computational modeling

Award Number: R01MH122558

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

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