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Neuroimaging impaired response inhibition and salience attribution in human drug addiction: a systematic review
The impaired response inhibition and salience attribution (iRISA) model proposes that
impaired response inhibition and salience attribution underlie drug seeking and taking. To …
impaired response inhibition and salience attribution underlie drug seeking and taking. To …
The neural bases of emotion regulation
Emotions are powerful determinants of behaviour, thought and experience, and they may be
regulated in various ways. Neuroimaging studies have implicated several brain regions in …
regulated in various ways. Neuroimaging studies have implicated several brain regions in …
Redefining bilingualism as a spectrum of experiences that differentially affects brain structure and function
Learning and using an additional language is shown to have an impact on the structure and
function of the brain, including in regions involved in cognitive control and the connections …
function of the brain, including in regions involved in cognitive control and the connections …
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation
Given the increasing number of neuroimaging publications, the automated knowledge
extraction on brain-behavior associations by quantitative meta-analyses has become a …
extraction on brain-behavior associations by quantitative meta-analyses has become a …
Human orbitofrontal cortex represents a cognitive map of state space
Although the orbitofrontal cortex (OFC) has been studied intensely for decades, its precise
functions have remained elusive. We recently hypothesized that the OFC contains a" …
functions have remained elusive. We recently hypothesized that the OFC contains a" …
Reinforcement learning disruptions in individuals with depression and sensitivity to symptom change following cognitive behavioral therapy
VM Brown, L Zhu, A Solway, JM Wang… - JAMA …, 2021 - jamanetwork.com
Importance Major depressive disorder is prevalent and impairing. Parsing
neurocomputational substrates of reinforcement learning in individuals with depression may …
neurocomputational substrates of reinforcement learning in individuals with depression may …
Meta-analysis of human prediction error for incentives, perception, cognition, and action
Prediction errors (PEs) are a keystone for computational neuroscience. Their association
with midbrain neural firing has been confirmed across species and has inspired the …
with midbrain neural firing has been confirmed across species and has inspired the …
Meta-analysis of reward processing in major depressive disorder reveals distinct abnormalities within the reward circuit
Many neuroimaging studies have investigated reward processing dysfunction in major
depressive disorder. These studies have led to the common idea that major depressive …
depressive disorder. These studies have led to the common idea that major depressive …
Impaired reward prediction error encoding and striatal-midbrain connectivity in depression
Anhedonia (hyposensitivity to rewards) and negative bias (hypersensitivity to punishments)
are core features of major depressive disorder (MDD), which could stem from abnormal …
are core features of major depressive disorder (MDD), which could stem from abnormal …
Reinforcement learning in depression: A review of computational research
Despite being considered primarily a mood disorder, major depressive disorder (MDD) is
characterized by cognitive and decision making deficits. Recent research has employed …
characterized by cognitive and decision making deficits. Recent research has employed …