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Updated: Mar 28, 2026

Operant Procedures for Assessing Behavioral Flexibility in Rats
Published on: February 15, 2015
Fronto-striatal organization: Defining functional and microstructural substrates of behavioural flexibility
Laurel S Morris1, Prantik Kundu2, Nicholas Dowell3
1Department of Psychology, University of Cambridge, Cambridge, United Kingdom; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom.
This study reveals distinct frontal-striatal circuits for cognitive and motor control. Advanced MRI shows these brain pathways are crucial for goal-directed, learning, and habit behaviors.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Frontal-striatal circuits are essential for diverse cognitive and behavioral functions.
- Understanding the precise functional connectivity within these circuits is key to deciphering brain mechanisms of control.
Purpose of the Study:
- To map functional connectivity between frontal cortical and striatal regions using advanced multi-echo resting-state fMRI.
- To investigate the neural correlates of goal-directed, reversal learning, and attentional shifting behaviors.
- To explore the structural underpinnings of model-based and model-free learning using neurite orientation dispersion and density imaging (NODDI).
Main Methods:
- Multi-echo resting-state functional MRI (fMRI) to map functional connectivity.
- Neurite orientation dispersion and density imaging (NODDI) for structural analysis.
- Assessment of goal-directed, probabilistic reversal learning, and attentional shifting behaviors.
Main Results:
- Distinct functional connectivity patterns were identified for limbic, motor, and cognitive circuits.
- Medial orbitofrontal cortex (mOFC) and ventral striatum (VS) correlated with goal-directed behavior.
- Lateral orbitofrontal cortex (lOFC) and VS linked to reversal learning; dorsolateral prefrontal cortex (dlPFC) and VS to attentional shifting.
- Higher mOFC neurite density associated with model-based learning (MBc); putamen neurite complexity with model-free learning (MFc).
Conclusions:
- Frontal-striatal circuits exhibit specialized functional and structural architectures supporting distinct behavioral control systems.
- The findings bridge computational models of learning with neurobiological mechanisms of habit formation and goal-directed actions.
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