Applying novel technologies and methods to inform the ontology of self-regulation.
Applying novel technologies and methods to inform the ontology of self-regulation.
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DOI:
10.1016/j.brat.2017.09.014
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发表时间:
2018-03
影响因子:
4.1
通讯作者:
Poldrack RA
中科院分区:
文献类型:
--
作者:
Eisenberg IW;Bissett PG;Canning JR;Dallery J;Enkavi AZ;Whitfield-Gabrieli S;Gonzalez O;Green AI;Greene MA;Kiernan M;Kim SJ;Li J;Lowe MR;Mazza GL;Metcalf SA;Onken L;Parikh SS;Peters E;Prochaska JJ;Scherer EA;Stoeckel LE;Valente MJ;Wu J;Xie H;MacKinnon DP;Marsch LA;Poldrack RA
Self-regulation is a broad construct representing the general ability to recruit cognitive, motivational and emotional resources to achieve long-term goals. This construct has been implicated in a host of health-risk behaviors, and is a promising target for fostering beneficial behavior change. Despite its clear importance, the behavioral, psychological and neural components of self-regulation remain poorly understood, which contributes to theoretical inconsistencies and hinders maximally effective intervention development. We outline a research program that seeks to define a neuropsychological ontology of self-regulation, articulating the cognitive components that compose self-regulation, their relationships, and their associated measurements. The ontology will be informed by two large-scale approaches to assessing individual differences: first purely behaviorally using data collected via Amazon’s Mechanical Turk, then coupled with neuroimaging data collected from a separate population. To validate the ontology and demonstrate its utility, we will then use it to contextualize health risk behaviors in two exemplar behavioral groups: overweight/obese adults who binge eat and smokers. After identifying ontological targets that precipitate maladaptive behavior, we will craft interventions that engage these targets. If successful, this work will provide a structured, holistic account of self-regulation in the form of an explicit ontology, which will better clarify the pattern of deficits related to maladaptive health behavior, and provide direction for more effective behavior change interventions.
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影响因子:
4.4
作者:
Carey, KB;Neal, DJ;Collins, SE
通讯作者:
Collins, SE
影响因子:
16.2
作者:
Daw ND;Gershman SJ;Seymour B;Dayan P;Dolan RJ
通讯作者:
Dolan RJ
DOI:
10.1037/a0021800
发表时间:
2011-03-01
影响因子:
2.6
作者:
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通讯作者:
Logan, Gordon D.
影响因子:
5.3
作者:
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通讯作者:
Poldrack, Russell A.
影响因子:
16.2
作者:
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通讯作者:
D'Esposito, Mark