Dorsal Anterior Cingulate Cortex: A Bottom-Up View

Heilbronner, Sarah R.; Hayden, Benjamin Y.

doi:10.1146/annurev-neuro-070815-013952

Cited by 393 publications

(328 citation statements)

References 169 publications

(285 reference statements)

Supporting

Mentioning

282

Contrasting

Order By: Relevance

“…We are also particularly interested in ascertaining the relationship between striatal regions and their cortical projections, especially the OFC and dorsal ACC. Our previous studies demonstrate that both of these regions have well-established roles in task switching, cognitive control, and economici choices (Heilbronner & Hayden, 2016; Blanchard, Hayden, & Bromberg-Martin, 2015; Blanchard, Strait, & Hayden, 2015; Blanchard & Hayden, 2014). Direct comparisons of neural activity in the striatum and cortical regions using the same task may further clarify specific striatal contributions to cognition.…”

Section: Discussionmentioning

confidence: 99%

Differential Contributions of Ventral and Dorsal Striatum to Early and Late Phases of Cognitive Set Reconfiguration

Sleezer

Hayden

2016

Journal of Cognitive Neuroscience

Self Cite

View full text Add to dashboard Cite

Flexible decision-making, a defining feature of human cognition, is typically thought of as a canonical pFC function. Recent work suggests that the striatum may participate as well; however, its role in this process is not well understood. We recorded activity of neurons in both the ventral (VS) and dorsal (DS) striatum while rhesus macaques performed a version of the Wisconsin Card Sorting Test, a classic test of flexibility. Our version of the task involved a trial-and-error phase before monkeys could identify the correct rule on each block. We observed changes in firing rate in both regions when monkeys switched rules. Specifically, VS neurons demonstrated switch-related activity early in the trial-and-error period when the rule needed to be updated, and a portion of these neurons signaled information about the switch context (i.e., whether the switch was intradimensional or extradimensional). Neurons in both VS and DS demonstrated switch-related activity at the end of the trial-and-error period, immediately before the rule was fully established and maintained, but these signals did not carry any information about switch context. We also observed associative learning signals (i.e., specific responses to options associated with rewards in the presentation period before choice) that followed the same pattern as switch signals (early in VS, later in DS). Taken together, these results endorse the idea that the striatum participates directly in cognitive set reconfiguration and suggest that single neurons in the striatum may contribute to a functional handoff from the VS to the DS during reconfiguration processes.

show abstract

Section: Discussionmentioning

confidence: 99%

Differential Contributions of Ventral and Dorsal Striatum to Early and Late Phases of Cognitive Set Reconfiguration

Sleezer

Hayden

2016

Journal of Cognitive Neuroscience

Self Cite

View full text Add to dashboard Cite

show abstract

“…This multifunctional role of cACC is hypothesized to be related to its extensive connections with brain systems associated with emotion (amygdala, hypothalamus, ventromedial prefrontal cortex [vmPFC], insula, ventral striatum), cognition and executive control (dorsal PFC, ventrolateral PFC, frontal pole, parietal cortex), and motor control (motor cortex, premotor cortex, spinal cord) (see (Heilbronner & Hayden, 2016) for review). Hence, an alternative explanation for our finding is that the greater structural connectivity in relation to poorer Stroop interference may be confined to a certain white matter connection of cACC other than the pathway for executive control.…”

Section: Discussionmentioning

confidence: 99%

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Rizk

Rubin‐Falcone

Keilp

et al. 2017

Journal of Affective Disorders

View full text Add to dashboard Cite

Background Major depressive disorder (MDD) is associated with impaired attention control and alterations in frontal-subcortical connectivity. We hypothesized that attention control as assessed by Stroop task interference depends on white matter integrity in fronto-cingulate regions and assessed this relationship using diffusion tensor imaging (DTI) in MDD and healthy volunteers (HV). Methods DTI images and Stroop task were acquired in 29 unmedicated MDD patients and 16 HVs, aged 18–65 years. The relationship between Stroop interference and fractional anisotropy (FA) was examined using region-of-interest (ROI) and tract-based spatial statistics (TBSS) analyses. Results ROI analysis revealed that Stroop interference correlated positively with FA in left caudal anterior cingulate cortex (cACC) in HVs (r= 0.62, p= 0.01), but not in MDD (r= −0.05, p= 0.79) even after controlling for depression severity. The left cACC was among 4 ROIs in fronto-cingulate network where FA was lower in MDD relative to HVs (F(1,41)= 8.87, p= 0.005). Additionally, TBSS showed the same group interaction of differences and correlations, although only at a statistical trend level. Limitations The modest sample size limits the generalizability of the findings. Conclusions Structural connectivity of white matter network of cACC correlated with magnitude of Stroop interference in HVs, but not MDD. The cACC-frontal network, sub-serving attention control, may be disrupted in MDD. Less cognitive control may include enhanced effects of salience in HVs, or less effective response inhibition in MDD. Further studies of salience and inhibition components of executive function may better elucidate the relationship between brain white matter changes and executive dysfunction in MDD.

show abstract

“…Rangel and Hare, 2010; Rushworth et al, 2011 Figure 1). The list of relevant structures includes the medial and orbital surfaces of the frontal lobes and the ventral striatum, among others (Bartra et al, 2013; Haber and Behrens, 2014; Heilbronner and Hayden, 2016; Levy and Glimcher, 2012; Padoa-Schioppa, 2011; Rushworth et al, 2011). Single neuron and hemodynamic responses in these regions encode the values of offers and outcomes and track comparisons.…”

Section: Introductionmentioning

confidence: 99%

Economic Choice as an Untangling of Options into Actions

Yoo

Hayden

2018

Neuron

115

123

View full text Add to dashboard Cite

SUMMARY We propose that economic choice can be understood as a gradual transformation from domain of options to one of the actions. We draw an analogy with the idea of untangling information in the form vision system and propose that form vision and economic choice may be two aspects of a larger process that sculpts actions based on sensory inputs. From this viewpoint, choice results from the accumulated effect of repetitions of simple computations. These may consist primarily of relative valuations (evaluations relative to the value of rejection, perhaps in a manner akin to divisive normalization) applied to individual offers. With regard to economic choice, cortical brain regions differ primarily in their position and in what information they prioritize, and do not—with a few exceptions—have categorically distinct roles. Each region’s specific contribution is determined largely by its inputs; thus, understanding connectivity is crucial for understanding choice. This view suggests that there is no single site of choice, that there is no meaningful distinction between pre- and post-decisionality, and that there is no explicit representation of value in the brain.

show abstract

Dorsal Anterior Cingulate Cortex: A Bottom-Up View

Cited by 393 publications

References 169 publications

Differential Contributions of Ventral and Dorsal Striatum to Early and Late Phases of Cognitive Set Reconfiguration

Differential Contributions of Ventral and Dorsal Striatum to Early and Late Phases of Cognitive Set Reconfiguration

White matter correlates of impaired attention control in major depressive disorder and healthy volunteers

Economic Choice as an Untangling of Options into Actions

Contact Info

Product

Resources

About