From Neural Responses to Population Behavior: Neural Focus Group Predicts Population-Level Media Effects

被引:202
|
作者
Falk, Emily B. [1 ]
Berkman, Elliot T. [2 ]
Lieberman, Matthew D. [3 ]
机构
[1] Univ Michigan, Ann Arbor, MI 48104 USA
[2] Univ Oregon, Eugene, OR 97403 USA
[3] Univ Calif Los Angeles, Los Angeles, CA 90095 USA
关键词
mass media; neuroimaging; health; cognitive neuroscience; neuromarketing; health communication; smoking; COCAINE-DEPENDENT PATIENTS; BRAIN; ACTIVATION; IMPLICIT; SMOKING; RELAPSE; MODELS; CORTEX;
D O I
10.1177/0956797611434964
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Can neural responses of a small group of individuals predict the behavior of large-scale populations? In this investigation, brain activations were recorded while smokers viewed three different television campaigns promoting the National Cancer Institute's telephone hotline to help smokers quit (1-800-QUIT-NOW). The smokers also provided self-report predictions of the campaigns' relative effectiveness. Population measures of the success of each campaign were computed by comparing call volume to 1-800-QUIT-NOW in the month before and the month after the launch of each campaign. This approach allowed us to directly compare the predictive value of self-reports with neural predictors of message effectiveness. Neural activity in a medial prefrontal region of interest, previously associated with individual behavior change, predicted the population response, whereas self-report judgments did not. This finding suggests a novel way of connecting neural signals to population responses that has not been previously demonstrated and provides information that may be difficult to obtain otherwise.
引用
收藏
页码:439 / 445
页数:7
相关论文
共 50 条
  • [31] Inverted Encoding Models Assay Population-Level Stimulus Representations, Not Single-Unit Neural Tuning
    Sprague, Thomas C.
    Adam, Kirsten C. S.
    Foster, Joshua J.
    Rahmati, Masih
    Sutterer, David W.
    Vo, Vy A.
    ENEURO, 2018, 5 (03)
  • [32] Changing patterns of social media use? A population-level study of Finland
    Ilkka Koiranen
    Teo Keipi
    Aki Koivula
    Pekka Räsänen
    Universal Access in the Information Society, 2020, 19 : 603 - 617
  • [33] Changing patterns of social media use? A population-level study of Finland
    Koiranen, Ilkka
    Keipi, Teo
    Koivula, Aki
    Rasanen, Pekka
    UNIVERSAL ACCESS IN THE INFORMATION SOCIETY, 2020, 19 (03) : 603 - 617
  • [34] Population-level drought responses in northern oak fern (Gymnocarpium dryopteris)
    Winker, A.
    Wood, L. J.
    BOTANY, 2022, 100 (09) : 753 - 760
  • [35] Population-level responses to sediment during early life in brook trout
    Curry, RA
    MacNeill, WS
    JOURNAL OF THE NORTH AMERICAN BENTHOLOGICAL SOCIETY, 2004, 23 (01): : 140 - 150
  • [36] Alarm substances elicit limited population-level responses in fathead minnow
    Jung, Jenifer A.
    Tonn, Willium M.
    ECOLOGY OF FRESHWATER FISH, 2011, 20 (02) : 220 - 230
  • [37] Investigating population-level immunosenescence: From bench to bedside
    Cunha, Lucas Leite
    Valsecchi, Victor Alexandre dos Santos
    Ward, Laura Sterian
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [38] Population-level drought responses in northern oak fern (Gymnocarpium dryopteris)
    Winkel, A.
    Wood, L. J.
    BOTANY, 2022,
  • [39] Projecting population-level responses of mysids exposed to an endocrine disrupting chemical
    Raimondo, S
    McKenney, CL
    INTEGRATIVE AND COMPARATIVE BIOLOGY, 2005, 45 (01) : 151 - 157
  • [40] Network inference from population-level observation of epidemics
    Di Lauro, F.
    Croix, J. -C.
    Dashti, M.
    Berthouze, L.
    Kiss, I. Z.
    SCIENTIFIC REPORTS, 2020, 10 (01)