Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex

Kragel, Philip A.; Kano, Michiko; Oudenhove, Lukas Van; Ly, Huynh Giao; Dupont, Patrick; Rubio, Amandine; Delon‐Martin, Chantal; Bonaz, Bruno; Manuck, Stephen B.; Gianaros, Peter J.; Čeko, Marta; Losin, Elizabeth A. Reynolds; Woo, Choong‐Wan; Nichols, Thomas E.; Wager, Tor D.

doi:10.1038/s41593-017-0051-7

Cited by 239 publications

(205 citation statements)

References 76 publications

Supporting

Mentioning

187

Contrasting

Order By: Relevance

“…It should be noted that, in our study, we found brain areas that encompass both traditionally defined dACC and dmPFC responded to both social and private information conflict as well as social information conformity (Figure a). It is thus possible that there exists a finer functional segregation in the mPFC with dACC more involved in private and social information conflict monitoring and dmPFC implicated in social conformity itself, based on the degree of cognitive control a certain decision context might demand (Kragel et al, ; Ruff & Fehr, ; Schlund et al, ; Shenhav et al, ; Shenhav et al, ; Wisniewski, Reverberi, Tusche, & Haynes, ). Through this lens, the reduced conformal adjustment from the downregulation of the medial frontal cortex in a previous transcranial magnetic stimulation study could be interpreted as either reducing the error signal between subject's own judgment and group opinion or simply impairing participant's tendency to follow group opinion (Klucharev et al, ; Klucharev et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…Specifically, in an environment where social evidence is completely uninformative, such behavior adjustment would nudge people to rely more on their own private evidence. Regarding social conformity, previous literatures consistently demonstrate the importance of dmPFC/dACC, which are heavily involved in conflicts monitoring and cognitive control (Botvinick, Braver, Barch, Carter, & Cohen, ; Kragel et al, ). In social conformity setup where conflicts arise between private and social information, dmPFC shows greater activities and also predicts individual conformity behavior (De Martino, Bobadilla‐Suarez, Nouguchi, Sharot, & Love, ; Klucharev et al, ).…”

Section: Introductionmentioning

confidence: 90%

See 1 more Smart Citation

Private but not social information validity modulates social conformity bias

Tam

2019

Human Brain Mapping

View full text Add to dashboard Cite

It is well established that human behaviors are susceptible to others' opinions. However, optimal decision theory mandates choices be made upon the estimated validities of different information sources and little is known about whether and how people could wean themselves off social conformity bias, especially when the social signals are uninformative. Here, we asked subjects to participate in a probabilistic urn guessing task based on their private information as well as observed choices from their partners. Specifically, we manipulated the information validity of these two sources such that only the private evidence was informative. Across trials, social conformity declined, manifested by the increased influence of the private evidence but steady effect of social information. Correspondingly, we found dorsomedial prefrontal cortex (dmPFC) was involved in detecting the conflict of private and social information and conforming to social signal whereas striatum was responsible for selectively updating the influence of private (but not social) evidence contingent on its inferred validity. Furthermore, functional coupling between striatum and dmPFC predicted the resistance toward the influence of social information. Together, these results may provide a mechanistic account of how the conformity bias toward uninformative social information can be remedied.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 90%

Private but not social information validity modulates social conformity bias

Tam

2019

Human Brain Mapping

View full text Add to dashboard Cite

show abstract

“…Average SUVR and/or V T values were extracted from these regions, for the purposes of visualizing data, comparing group effects within each site independently, and assessing relationships between SUVR and clinical variables and between outcome metrics (SUVR and V T ). Although anterior middle cingulate (aMCC) did not exhibit significant group differences in the voxelwise V T analysis, this region was significant in the SUVR analysis (see Results); therefore, average V T was extracted from aMCC to test for potential V T differences not detected in the voxelwise analysis, particularly because this region is highly relevant to pain processing (Kragel et al, 2018; Shackman et al, 2011). Partial correlation analyses were used to assess correlations between PET signal extracted from regions exhibiting significant group differences in the voxelwise analyses and continuous clinical variables (i.e.…”

Section: Methodsmentioning

confidence: 99%

Brain glial activation in fibromyalgia – A multi-site positron emission tomography investigation

Albrecht

Forsberg

Sandström

et al. 2019

Brain, Behavior, and Immunity

215

170

View full text Add to dashboard Cite

Fibromyalgia (FM) is a poorly understood chronic condition characterized by widespread musculoskeletal pain, fatigue, and cognitive difficulties. While mounting evidence suggests a role for neuroinflammation, no study has directly provided evidence of brain glial activation in FM. In this study, we conducted a Positron Emission Tomography (PET) study using [C]PBR28, which binds to the translocator protein (TSPO), a protein upregulated in activated microglia and astrocytes. To enhance statistical power and generalizability, we combined datasets collected independently at two separate institutions (Massachusetts General Hospital [MGH] and Karolinska Institutet [KI]). In an attempt to disentangle the contributions of different glial cell types to FM, a smaller sample was scanned at KI with [C]--deprenyl-D PET, thought to primarily reflect astrocytic (but not microglial) signal. Thirty-one FM patients and 27 healthy controls (HC) were examined using [C]PBR28 PET. 11 FM patients and 11 HC were scanned using [C]--deprenyl-D PET. Standardized uptake values normalized by occipital cortex signal (SUVR) and distribution volume (V) were computed from the [C]PBR28 data. [C]--deprenyl-D was quantified using λ k. PET imaging metrics were compared across groups, and when differing across groups, against clinical variables. Compared to HC, FM patients demonstrated widespread cortical elevations, and no decreases, in [C]PBR28 V and SUVR, most pronounced in the medial and lateral walls of the frontal and parietal lobes. No regions showed significant group differences in [C]--deprenyl-D signal, including those demonstrating elevated [C]PBR28 signal in patients (p's ≥ 0.53, uncorrected). The elevations in [C]PBR28 V and SUVR were correlated both spatially (i.e., were observed in overlapping regions) and, in several areas, also in terms of magnitude. In exploratory, uncorrected analyses, higher subjective ratings of fatigue in FM patients were associated with higher [C]PBR28 SUVR in the anterior and posterior middle cingulate cortices (p's < 0.03). SUVR was not significantly associated with any other clinical variable. Our work provides the first in vivo evidence supporting a role for glial activation in FM pathophysiology. Given that the elevations in [C]PBR28 signal were not also accompanied by increased [C]--deprenyl-D signal, our data suggests that microglia, but not astrocytes, may be driving the TSPO elevation in these regions. Although [C]--deprenyl-D signal was not found to be increased in FM patients, larger studies are needed to further assess the role of possible astrocytic contributions in FM. Overall, our data support glial modulation as a potential therapeutic strategy for FM.

show abstract

“…Moreover, vmPFC activity changes that are evoked by psychological stressors have been associated with individual differences in self-reported emotional intensity during and after stressor exposure (Orem et al, 2019;Tobia et al, 2017;van der Werff et al, 2013;Wheelock et al, 2016;Yang et al, 2018). Recent analyses examining 270 participants across 18 studies demonstrated that patterns of vmPFC activity are reliably associated with negative affective responding (Kragel, Kano et al, 2018).…”

mentioning

confidence: 99%

Ventromedial prefrontal cortex connectivity during and after psychological stress in women

et al. 2019

Self Cite

View full text Add to dashboard Cite

The ventromedial prefrontal cortex (vmPFC) integrates sensory, affective, memory‐related, and social information from diverse brain systems to coordinate behavioral and peripheral physiological responses according to contextual demands that are appraised as stressful. However, the functionality of the vmPFC during stressful experiences is not fully understood. Among 40 female participants, the present study evaluated (a) functional connectivity of the vmPFC during exposure to and recovery following an acute psychological stressor, (b) associations among vmPFC functional connectivity, heart rate, and subjective reports of stress across individuals, and (c) whether patterns of vmPFC functional connectivity were associated with distributed brain networks. Results showed that psychological stress increased vmPFC functional connectivity with individual brain areas implicated in stressor processing (e.g., insula, amygdala, anterior cingulate cortex) and decreased connectivity with the posterior cingulate cortex and thalamus. There were no statistical differences in vmPFC connectivity to individual brain areas during recovery, as compared with baseline. Spatial similarity analyses revealed stressor‐evoked increased connectivity of the vmPFC with the so‐called dorsal attention, ventral attention, and frontoparietal networks, as well as decreased connectivity with the default mode network. During recovery, vmPFC connectivity increased with the frontoparietal network. Finally, individual differences in heart rate and perceived stress were associated with vmPFC connectivity to the ventral attention, frontoparietal, and default mode networks. Psychological stress appears to alter network‐level functional connectivity of the vmPFC in a manner that further relates to individual differences in stressor‐evoked cardiovascular and affective reactivity.

show abstract

Generalizable representations of pain, cognitive control, and negative emotion in medial frontal cortex

Cited by 239 publications

References 76 publications

Private but not social information validity modulates social conformity bias

Private but not social information validity modulates social conformity bias

Brain glial activation in fibromyalgia – A multi-site positron emission tomography investigation

Ventromedial prefrontal cortex connectivity during and after psychological stress in women

Contact Info

Product

Resources

About