Neurocognitive mechanisms of cognitive control: The role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning

Ridderinkhof, K. Richard; Wildenberg, Wery P. M. van den; Segalowitz, Sidney J.; Carter, Cameron S.

doi:10.1016/j.bandc.2004.09.016

Cited by 1,199 publications

(962 citation statements)

References 111 publications

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“…Previous neuroimaging studies reported similar findings. In a PET study Price (2000) demonstrated an increase in blood volume in the SFG and these findings were confirmed by successive fMRI studies reporting on BOLD-contrast increases in the SFG (Binder et al, 2003;Ischebeck et al, 2004;Kuchinke et al, 2005; for a review of the role of the SFG in decision-related processes also see Ridderinkhof et al, 2004). Finally the SFG's role in generating a lexical decision is supported by the finding that word/ Table 1 Channel t-values within the regions of interest Channel numbers, MNI coordinates, estimated inter-subject variability (SD) and significant uncorrected t-values (df = 11, p's ≤ 0.05, two-tailed) are given.…”

Section: The Lexicality Effectmentioning

confidence: 68%

“…Words not only elicited a greater SFG activation than PWs, but also more errors. Error processing has been assumed to rely on the anterior cingulate (Yeung et al, 2004), but also on the mediofrontal gyrus (Ridderinkhof et al, 2004), which is part of the SFG. Though actual errors were excluded from the analyses, Yeung et al propose that errors may be activated partially, even when a correct response is generated.…”

Section: The Lexicality Effectmentioning

confidence: 99%

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Differential activation of frontal and parietal regions during visual word recognition: An optical topography study

et al. 2008

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The present study examined cortical oxygenation changes during lexical decision on words and pseudowords using functional NearInfrared Spectroscopy (fNIRS). Focal hyperoxygenation as an indicator of functional activation was compared over three target areas over the left hemisphere. A 52-channel Hitachi ETG-4000 was used covering the superior frontal gyrus (SFG), the left inferior parietal gyrus (IPG) and the left inferior frontal gyrus (IFG). To allow for anatomical inference a recently developed probabilistic mapping method was used to determine the most likely anatomic locations of the changes in cortical activation [Tsuzuki, D., Jurcak, V., Singh, A.K., Okamoto, M., Watanabe, E., Dan, I., 2007. Virtual spatial registration of stand-alone fNIRS data to MNI space. NeuroImage 43 (4), 1506-1518.Subjects made lexical decisions on 50 low and 50 high frequency words and 100 pseudowords. With respect to the lexicality effect, words elicited a larger focal hyperoxygenation in comparison to pseudowords in two regions identified as the SFG and left IPG. The SFG activation difference was interpreted to reflect decision-related mechanisms according to the Multiple Read-Out Model [Grainger, J., Jacobs, A.M., 1996. Orthographic processing in visual word recognition: A multiple read-out model. Psychological Review 103, 518-565]. The greater oxygenation response to words in the left IPG suggests that this region connects orthographic, phonological and semantic representations. A decrease of deoxygenated hemoglobin was observed to low frequency in comparison to high frequency words in a region identified as IFG. This region's sensitivity to word frequency suggests its involvement in grapheme-phoneme conversion, or its role during the selection of preactivated semantic candidates.

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Section: The Lexicality Effectmentioning

confidence: 68%

Section: The Lexicality Effectmentioning

confidence: 99%

Differential activation of frontal and parietal regions during visual word recognition: An optical topography study

et al. 2008

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“…Eight of the 25 EXIT items assess the ability to inhibit an automatic behavior, and three items capture error detection or conflict monitoring. These items fall precisely into the above definition of cognitive control (see also (33,34). Future studies could usefully focus on cognitive control as a specific facet of executive function that may be relevant to the emergence of suicidal thoughts.…”

Section: Discussionmentioning

confidence: 99%

Impaired Executive Function in Contemplated and Attempted Suicide in Late Life

Gujral

Dombrovski

Butters

et al. 2014

The American Journal of Geriatric Psychiatry

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Objective Executive deficits may play an important role in late-life suicide. Yet, current evidence in this area is inconclusive and does not indicate whether these deficits are broadly associated with suicidal ideation or specific to suicidal behavior. This study examined global cognition and specifically executive function impairments as correlates of suicidal ideation and suicidal behavior in depressed older adults, with the goal of extending an earlier preliminary study. Design Case-control study. Setting University-affiliated psychiatric hospital. Participants All were aged 60+: 83 depressed suicide attempters, 43 depressed individuals having suicidal ideation with a specific plan, 54 non-suicidal depressed participants, and 48 older adults with no history of psychiatric disorders. Measurements Global cognitive function - Dementia Rating Scale (DRS), Executive function - Executive Interview (EXIT). Results Both suicide attempters and suicide ideators performed worse than the two comparison groups on the EXIT, with no difference between suicide attempters and suicide ideators. On the DRS total score, as well as on Memory and Attention subscales, suicide attempters and ideators and non-suicidal depressed subjects performed similarly and were impaired relative to with non-psychiatric control subjects. Controlling for education, substance use disorders, and medication exposure did not affect group differences in performance on either the EXIT or DRS. Conclusions Executive deficits, captured with a brief instrument, are associated broadly with suicidal ideation in older depressed adults but do not appear to directly facilitate suicidal behavior. Our data are consistent with the idea that different vulnerabilities may operate at different stages in the suicidal process.

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“…More in particular, it assesses the ability to think and reflect on the consequences of a choice prior to making a decision. The ventromedial section in the prefrontal cortex has been indicated as the most critical neural structure underlying these processes (Bechara, 2004;Ridderinkhof et al, 2004). Motor impulsivity or response inhibition as measured in the stop-signal task or go/no-go task, on the other hand, is believed to relate to the control of motor processes that are subserved by the anterior cingulate (Bechara, 2004).…”

Section: Discussionmentioning

confidence: 99%

Acute Effects of 3,4-Methylenedioxymethamphetamine (MDMA) on Behavioral Measures of Impulsivity: Alone and in Combination with Alcohol

Ramaekers

Kuypers

2005

Neuropsychopharmacol

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The use of 3,4-methylenedioxymethamphetamine (MDMA) has frequently been associated with increased levels of impulsivity during abstinence. The effects of MDMA on measures of impulsivity, however, have not yet been studied during intoxication. The present study was designed to assess the acute effects of MDMA and alcohol, alone and in combination, on behavioral measures of impulsivity and risktaking behavior. A total of 18 recreational users of MDMA entered a double-blind placebo-controlled six-way crossover study. The treatments consisted of MDMA 0, 75, and 100 mg with and without alcohol. Alcohol dosing was designed to achieve a peak blood alcohol concentration (BAC) of about 0.06 g/dl during laboratory testing. Laboratory tests of impulsivity were conducted between 1.5 and 2 h post-MDMA and included a stop-signal task, a go/no-go task, and the Iowa gambling task. MDMA decreased stop reaction time in the stop-signal task indicating increased impulse control. Alcohol increased the proportion of commission errors in the stop-signal task and the go/no-go task. Signal detection analyses of alcohol-induced commission errors indicated that this effect may reflect impairment of perceptual or attentive processing rather than an increase of motor impulsivity per se. Performance in the Iowa gambling task was not affected by MDMA and alcohol, but there was a nonsignificant tendency towards improvement following alcohol intake. None of the behavioral measures of impulsivity showed a MDMA Â alcohol interaction effect. The lack of interaction indicated that the CNS stimulant effects of MDMA were never sufficient to overcome alcohol-induced impairment of impulse control or risk-taking behavior.

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Neurocognitive mechanisms of cognitive control: The role of prefrontal cortex in action selection, response inhibition, performance monitoring, and reward-based learning

Cited by 1,199 publications

References 111 publications

Differential activation of frontal and parietal regions during visual word recognition: An optical topography study

Differential activation of frontal and parietal regions during visual word recognition: An optical topography study

Impaired Executive Function in Contemplated and Attempted Suicide in Late Life

Acute Effects of 3,4-Methylenedioxymethamphetamine (MDMA) on Behavioral Measures of Impulsivity: Alone and in Combination with Alcohol

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