Using functional magnetic resonance imaging and transcranial magnetic stimulation in human participants, fMRI and TMS evidence is provided for an anatomically grounded model of control learning, in which dorsomedial prefrontal cortex tracks confidence in each individual decision in order to estimate controllability and changes in controllability via interactions with the dorsal raphe nucleus.
Abstract
When humans and other animals assess that they have little control over outcomes, their motivation and capacity for learning change. However, how we first learn what the control level is and how it then influences learning remain unclear. Using functional magnetic resonance imaging (fMRI) and transcranial magnetic stimulation (TMS) in human participants, we provide both recording and transient disruption evidence for an anatomically grounded model of control learning, in which dorsomedial prefrontal cortex (dmPFC) tracks confidence in each individual decision in order to then estimate controllability and changes in controllability via interactions with the dorsal raphe nucleus. Disrupting activity in this circuit, via dmPFC manipulation, impaired control learning. In addition, another mechanism was identified through which control estimates influenced learning. Participants' estimates of controllability were associated with widespread changes in outcome signals, including in dopamine-associated midbrain nuclei and in credit-assignment-linked signals in a distinct prefrontal cortex subregion.
Cognitive control processes enable us to use recent contextual information to flexibly adapt to current task demands. This ability to adapt control processes is exhibited in response conflict tasks. In these tasks, participants must respond to a relevant piece of information while overcoming the tendency to respond to...
Jacob Sellers, Han Zhang, John Jonides et al.· bioRxiv· 0 citations
The hippocampus is crucial for mental time travel and visuospatial processing, with dysfunction having major implications for aging, stress resilience, and mental health. While external neurostimulation methods can modulate hippocampal activity, effective real-world interventions require flexible, self-guided approache...
Sterre C. N. van de Langenberg, G. Gurevitch, Taly Markovits et al.· Current Biology· 0 citations
Motor responses are influenced by inferred predictability, but it remains unclear how uncertainty, or its inverse, precision, is encoded within motor control networks. In this study, we combined computational modeling of reaching movement response speed with functional magnetic resonance imaging (fMRI). We used a cuein...
Nan Liu, A. Zabicki, G. Fink et al.· Human Brain Mapping· 0 citations
The frontopolar cortex (FPC) has been implicated in high-level cognitive control, including model-based reasoning, cognitive branching, and the regulation of exploration–exploitation tradeoffs (Koechlin, 2020). While neuroimaging studies have provided strong correlational evidence, causal findings remain limited. In th...
A. Timashkov, Л. Ф. Гурбанова, Viktor Timokhov et al.· Психология Журнал Высшей шко...· 0 citations
Summary A core feature of cognitive control is the ability to interrupt behaviors that conflict with current goals. Disorders impairing this ability involve abnormal interactions between orbitofrontal cortex (OFC) and caudate nucleus (CdN). However, how these regions normally interact to interrupt automatic behaviors r...
Abstract Background Treatment response to repetitive transcranial magnetic stimulation (rTMS) in alcohol use disorder (AUD) is heterogeneous, and group-level neuroimaging effects are often inconsistent. We hypothesized that apparent inconsistency reflects baseline-dependent salience/attention-control circuit dynamics....
TJ Chang, C.-H. Chen· International Journal of Neu...· 0 citations
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