TY - JOUR
T1 - The time course of activity in dorsolateral prefrontal cortex and anterior cingulate cortex during top-down attentional control
AU - Silton, Rebecca Levin
AU - Heller, Wendy
AU - Towers, David N.
AU - Engels, Anna S.
AU - Spielberg, Jeffrey M.
AU - Edgar, J. Christopher
AU - Sass, Sarah M.
AU - Stewart, Jennifer L.
AU - Sutton, Bradley P.
AU - Banich, Marie T.
AU - Miller, Gregory A.
N1 - Funding Information:
This research was supported by the National Institute of Mental Health ( P50 MH079485 , R01 MH61358 , T32 MH19554 ), the National Institute on Drug Abuse ( R21 DA14111 ), and the University of Illinois Beckman Institute , Department of Psychology, and Intercampus Research Initiative in Biotechnology . The authors thank Adrienne Abramowitz, Kirstin Aschbacher, Patrick Berg, Keith Bredemeier, Amanda Bull, Emily Cahill, Laura Crocker, Monica Fabiani, Kara Federmeier, Joscelyn Fisher, Christian Hendershot, Brenda Hernandez, Karsten Hoechstetter, Angela Lawson, Renee Thompson, Edelyn Verona, and Stacie Warren for their contributions to this project. This manuscript is based on a portion of Rebecca Levin Silton's doctoral dissertation.
PY - 2010/4/15
Y1 - 2010/4/15
N2 - A network of brain regions has been implicated in top-down attentional control, including left dorsolateral prefrontal cortex (LDLPFC) and dorsal anterior cingulate cortex (dACC). The present experiment evaluated predictions of the cascade-of-control model (Banich, 2009), which predicts that during attentionally-demanding tasks, LDLPFC imposes a top-down attentional set which precedes late-stage selection performed by dACC. Furthermore, the cascade-of-control model argues that dACC must increase its activity to compensate when top-down control by LDLPFC is poor. The present study tested these hypotheses using fMRI and dense-array ERP data collected from the same 80 participants in separate sessions. fMRI results guided ERP source modeling to characterize the time course of activity in LDLPFC and dACC. As predicted, dACC activity subsequent to LDLPFC activity distinguished congruent and incongruent conditions on the Stroop task. Furthermore, when LDLPFC activity was low, the level of dACC activity was related to performance outcome. These results demonstrate that dACC responds to attentional demand in a flexible manner that is dependent on the level of LDLPFC activity earlier in a trial. Overall, results were consistent with the temporal course of regional brain function proposed by the cascade-of-control model.
AB - A network of brain regions has been implicated in top-down attentional control, including left dorsolateral prefrontal cortex (LDLPFC) and dorsal anterior cingulate cortex (dACC). The present experiment evaluated predictions of the cascade-of-control model (Banich, 2009), which predicts that during attentionally-demanding tasks, LDLPFC imposes a top-down attentional set which precedes late-stage selection performed by dACC. Furthermore, the cascade-of-control model argues that dACC must increase its activity to compensate when top-down control by LDLPFC is poor. The present study tested these hypotheses using fMRI and dense-array ERP data collected from the same 80 participants in separate sessions. fMRI results guided ERP source modeling to characterize the time course of activity in LDLPFC and dACC. As predicted, dACC activity subsequent to LDLPFC activity distinguished congruent and incongruent conditions on the Stroop task. Furthermore, when LDLPFC activity was low, the level of dACC activity was related to performance outcome. These results demonstrate that dACC responds to attentional demand in a flexible manner that is dependent on the level of LDLPFC activity earlier in a trial. Overall, results were consistent with the temporal course of regional brain function proposed by the cascade-of-control model.
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U2 - 10.1016/j.neuroimage.2009.12.061
DO - 10.1016/j.neuroimage.2009.12.061
M3 - Article
C2 - 20035885
AN - SCOPUS:77249145843
SN - 1053-8119
VL - 50
SP - 1292
EP - 1302
JO - NeuroImage
JF - NeuroImage
IS - 3
ER -