The geometry of domain-general performance monitoring in the human medial frontal cortex

Fu, Zhongzheng; Beam, Danielle; Chung, Jeffrey M.; Reed, Chrystal M.; Mamelak, Adam N.; Adolphs, Ralph; Rutishauser, Ueli

doi:10.1126/science.abm9922

Cited by 68 publications

(92 citation statements)

References 97 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, a neuron can participate in partially overlapping but distinct networks such that in one state neurons broadcast one signal to some efferent targets, while in another state they broadcast another signal to other efferent targets. Theories about mixed-selectivity and dynamical systems have emphasized state-dependent dynamics 6 , 80 , but they have not incorporated the specificity of laminar properties derived from specialized connectivity. Third, our classification of signals was based on response dynamics around the time of successful stopping, but we know of no theoretical or empirical prohibition against neurons modulating in association with multiple events.…”

Section: Discussionmentioning

confidence: 99%

“…Converging evidence from imaging, electrophysiology, and lesion studies indicates that MFC, including the supplementary motor complex, is essential for executive control 3 – 6 . In humans, noninvasive ERP measures derived from a negative–positive waveform over the medial frontal cortex, known as the N2/P3, have been used to test hypotheses about executive control function 7 .…”

Section: Introductionmentioning

confidence: 99%

“…Whilst these executive control signals are well documented in MFC, how they arise is uncertain 3 – 6 . Understanding neural spiking with laminar resolution is necessary to clarify circuit-level mechanisms because neurons in different layers have different biophysical properties and anatomical connections.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Functional architecture of executive control and associated event-related potentials in macaques

2022

View full text Add to dashboard Cite

The medial frontal cortex (MFC) enables executive control by monitoring relevant information and using it to adapt behavior. In macaques performing a saccade countermanding (stop-signal) task, we simultaneously recorded electrical potentials over MFC and neural spiking across all layers of the supplementary eye field (SEF). We report the laminar organization of neurons enabling executive control by monitoring the conflict between incompatible responses, the timing of events, and sustaining goal maintenance. These neurons were a mix of narrow-spiking and broad-spiking found in all layers, but those predicting the duration of control and sustaining the task goal until the release of operant control were more commonly narrow-spiking neurons confined to layers 2 and 3 (L2/3). We complement these results with evidence for a monkey homolog of the N2/P3 event-related potential (ERP) complex associated with response inhibition. N2 polarization varied with error-likelihood and P3 polarization varied with the duration of expected control. The amplitude of the N2 and P3 were predicted by the spike rate of different classes of neurons located in L2/3 but not L5/6. These findings reveal features of the cortical microcircuitry supporting executive control and producing associated ERPs.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Functional architecture of executive control and associated event-related potentials in macaques

2022

View full text Add to dashboard Cite

show abstract

“…Also, the cingulate and pre-supplementary motor areas are the generator sites of error-related negativity that is time-locked to an erroneous response (Seidler et al, 2013). Here, the medial frontal cortex is known to serve a central role in performance monitoring (Fu et al, 2022) that is crucial for cognitive exibility. In this study, the dACC activity was captured by microstate 3 that was one of the most dominant (high GEV) microstates across all conditions.…”

Section: Discussionmentioning

confidence: 99%

Error related fNIRS-EEG microstate analysis during a complex surgical motor task

Walia

Norfleet

et al. 2022

2022 44th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

View full text Add to dashboard Cite

The Fundamentals of Laparoscopic Surgery (FLS) training module is designed to provide essential surgical skills. During skill training of the FLS "suturing and intracorporeal knot-tying" task (FLS complex task) -the most di cult among the ve psychomotor FLS tasks, the error-related chain of mental processes is postulated to depend on the skill level leading to a difference in the contextual switching of the brain states on error commission between experts and novices. So, this study investigated changes in the brain states using simultaneously acquired functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) signals during FLS complex task and following motor errors in thirteen right-handed novice medical students and nine expert surgeons. A brain state analysis of the quasi-stable EEG scalp topography (called microstates) changes was performed using 32-channel EEG data acquired at 250Hz (high temporal resolution). Six microstate prototypes were identi ed from the combined EEG data from experts and novices during the FLS complex task that explained 77.14% of the global variance.Analysis of variance (ANOVA) found that the proportion of the total time spent in different microstates during the 10-sec error epoch was signi cantly affected by the skill level (p < 0.01), the microstate type (p < 0.01), and the interaction between the skill level and the microstate type (p < 0.01). Brain activation based on the slower oxyhemoglobin (HbO) changes corresponding to the EEG band power (1-40Hz) changes were found using the regularized temporally embedded Canonical Correlation Analysis of the simultaneously acquired fNIRS-EEG signals. We found that the HbO signal from the fNIRS channels overlying left inferior frontal gyrus -opercular part, left superior frontal gyrus -medial orbital, left postcentral gyrus, left superior temporal gyrus, right superior frontal gyrus -medial orbital cortical areas showed signi cant (p < 0.05) difference between experts and novices in the 10-sec error epoch. Here, the left superior and inferior frontal gyrus areas are postulated to be related to the error perception, while the activation of the primary somatosensory cortex at the postcentral cortical area can be associated with the error-related corrective action underpinning the perception-action coupling model.

show abstract

“…Sequential activity of neuronal assemblies is one of principled neuronal operations that support higher level cognitive functions (Eichenbaum, 2014 ; Buzsáki and Llinás, 2017 ) and allow humans to form complex spatio-temporal representation of our every day environment (Frölich et al, 2021 ). Akin to grid cells known to support representation of both spatial and non-spatial task states (Fu et al, 2021 ), time cells have been linked to temporal representation of state sequences critical for memory and decision-making (Eichenbaum, 2014 ). Importantly, in spite of these fruitful experimental findings we have no clear computational understanding of how humans learn temporal structure in the service of successfully behavioral adaptation.…”

Section: Discussionmentioning

confidence: 99%

Revealing human sensitivity to a latent temporal structure of changes

Marković

Reiter²,

Kiebel³

2022

Front. Behav. Neurosci.

View full text Add to dashboard Cite

Precisely timed behavior and accurate time perception plays a critical role in our everyday lives, as our wellbeing and even survival can depend on well-timed decisions. Although the temporal structure of the world around us is essential for human decision making, we know surprisingly little about how representation of temporal structure of our everyday environment impacts decision making. How does the representation of temporal structure affect our ability to generate well-timed decisions? Here we address this question by using a well-established dynamic probabilistic learning task. Using computational modeling, we found that human subjects' beliefs about temporal structure are reflected in their choices to either exploit their current knowledge or to explore novel options. The model-based analysis illustrates a large within-group and within-subject heterogeneity. To explain these results, we propose a normative model for how temporal structure is used in decision making, based on the semi-Markov formalism in the active inference framework. We discuss potential key applications of the presented approach to the fields of cognitive phenotyping and computational psychiatry.

show abstract

The geometry of domain-general performance monitoring in the human medial frontal cortex

Cited by 68 publications

References 97 publications

Functional architecture of executive control and associated event-related potentials in macaques

Functional architecture of executive control and associated event-related potentials in macaques

Error related fNIRS-EEG microstate analysis during a complex surgical motor task

Revealing human sensitivity to a latent temporal structure of changes

Contact Info

Product

Resources

About