scholarly journals The Geometry of Domain-General Performance Monitoring in the Human Medial Frontal Cortex

2021 ◽  
Author(s):  
Zhongzheng Fu ◽  
Danielle Beam ◽  
Jeffrey M. Chung ◽  
Chrystal M. Reed ◽  
Adam N. Mamelak ◽  
...  
Keyword(s):  
Frontal Cortex ◽  
Performance Monitoring ◽  
Medial Frontal Cortex ◽  
General Performance

scholarly journals The development of performance-monitoring function in the posterior medial frontal cortex

NeuroImage ◽  
2010 ◽  
Vol 49 (4) ◽  
pp. 3463-3473 ◽  
Author(s):  
Kate Dimond Fitzgerald ◽  
Suzanne C. Perkins ◽  
Mike Angstadt ◽  
Timothy Johnson ◽  
Emily R. Stern ◽  
...  
Keyword(s):  
Frontal Cortex ◽  
Performance Monitoring ◽  
Medial Frontal Cortex

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

2021 ◽  
Author(s):  
Zhongzheng Fu ◽  
Danielle Beam ◽  
Jeffrey M. Chung ◽  
Chrystal M. Reed ◽  
Adam N. Mamelak ◽  
...  
Keyword(s):  
Frontal Cortex ◽  
Performance Monitoring ◽  
Cognitive Conflict ◽  
Medial Frontal Cortex ◽  
Neural Population ◽  
Single Neurons ◽  
Task Specialization ◽  
Ex Post ◽  
Open Question ◽  
And Control

Flexibly adapting behavior to achieve a desired goal depends on the ability to monitor one's own performance. A key open question is how performance monitoring can be both highly flexible to support multiple tasks and specialized to support specific tasks. We characterized performance monitoring representations by recording single neurons in the human medial frontal cortex (MFC). Subjects performed two tasks that involve three types of cognitive conflict. Neural population representations of conflict, error and control demand generalized across tasks and time while at the same time also encoding task specialization. This arose from a combination of single neurons whose responses were task-invariant and non-linearly mixed. Neurons encoding conflict ex-post served to iteratively update internal estimates of control demand as predicted by a Bayesian model. These findings reveal how the MFC representation of evaluative signals are both abstract and specific, suggesting a mechanism for computing and maintaining control demand estimates across trials and tasks.

scholarly journals Performance monitoring by presupplementary and supplementary motor area during an arm movement countermanding task

2013 ◽  
Vol 109 (7) ◽  
pp. 1928-1939 ◽  
Author(s):  
Katherine W. Scangos ◽  
Ryan Aronberg ◽  
Veit Stuphorn
Keyword(s):  
Frontal Cortex ◽  
Performance Monitoring ◽  
Supplementary Motor Area ◽  
Motor Behavior ◽  
Arm Movement ◽  
Motor Area ◽  
Medial Frontal Cortex ◽  
General Role ◽  
Actual Outcome ◽  
Movement Selection

A key component of executive control and decision making is the ability to use the consequences of chosen actions to update and inform the process of future action selection. Evaluative signals, which monitor the outcomes of actions, are critical for this ability. Signals related to the evaluation of actions have been identified in eye movement-related areas of the medial frontal cortex. Here we examined whether such evaluative signals are also present in areas of the medial frontal cortex related to arm movements. To answer this question, we recorded from cells in the supplementary motor area (SMA) and pre-SMA, while monkeys performed an arm movement version of the countermanding paradigm. SMA and pre-SMA have been implicated in the higher-order control of movement selection and execution, although their precise role within the skeletomotor control circuit is unclear. We found evaluative signals that encode information about the expected outcome of the reward, the actual outcome, and the mismatch between actual and intended outcome. These findings suggest that signals that monitor and evaluate movement outcomes are represented throughout the medial frontal cortex, playing a general role across effector systems. These evaluation signals supervise the relationship between intentional motor behavior and reward expectation and could be used to adaptively shape future goal-directed behavior.

scholarly journals Topographic analysis of the development of individual activation patterns during performance monitoring in medial frontal cortex

2013 ◽  
Vol 6 ◽  
pp. 137-148 ◽  
Author(s):  
Suzanne C. Perkins ◽  
Robert C. Welsh ◽  
Emily R. Stern ◽  
Stephan F. Taylor ◽  
Kate D. Fitzgerald
Keyword(s):  
Frontal Cortex ◽  
Performance Monitoring ◽  
Medial Frontal Cortex ◽  
Activation Patterns ◽  
Topographic Analysis
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