Correspondence between thalamic injury-induced changes in resting-state fMRI of monkeys and their sensorimotor behaviors and neural activities
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Updated: Jun 5, 2026

Behavioral Assessment of Manual Dexterity in Non-Human Primates
Published on: November 11, 2011
Anirban Sengupta1, Pai-Feng Yang1, Jamie L Reed1
1Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, USA.
Abstract:
Resting state functional MRI (rsfMRI) exploits variations in blood-oxygenation-level-dependent (BOLD) signals to infer resting state functional connectivity (FC) within and between brain networks. However, there have been few reports quantifying and validating the results of rsfMRI analyses with other metrics of brain circuits. We measured longitudinal changes in FC both within and between brain networks in three squirrel monkeys after focal lesions of the thalamic ventroposterior lateral nucleus (VPL) that were intended to disrupt the input to somatosensory cortex and impair manual dexterity. Local field potential signals were recorded to assess electrophysiological changes during each animal's recovery, and behavioral performances were measured longitudinally using a sugar-pellet grasping task. Finally, end-point histological evaluations were performed on brain tissue slices to quantify the VPL damage. The rsfMRI data analysis showed significant decrease in FC measures both within and between networks immediately post-injury, which started to recover at different time-points for each animal. The trajectories of FC recovery for each animal mirrored their individual behavioral recovery time-courses. Electrophysiological measurements of inter-electrode coherences and end-point histological measures also aligned well with the graded injury effects measured using rsfMRI-based FC. A simple algorithm employing FC measures from the somatosensory network could accurately predict each monkeys' behavioral recovery timeframe after four weeks post-injury. Whole brain between-network FC measures further revealed that the injury effects were not limited to thalamocortical connections but were rather more widespread. Overall, this study provides evidence of the validity of rsfMRI based FC measures as indicators of the functional integrity and behavioral relevance following an injury to a specific brain circuit.
Insights
Resting state functional MRI (rsfMRI) effectively measures brain network changes after injury. Functional connectivity (FC) recovery in rsfMRI data correlated with behavioral recovery in monkeys, validating its use in assessing brain circuit integrity.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Functional Neuroimaging
Background:
- Resting state functional MRI (rsfMRI) infers functional connectivity (FC) from BOLD signals.
- Few studies have validated rsfMRI FC measures against other neurobiological metrics.
- Thalamocortical circuits are crucial for sensory processing and motor control.
Purpose of the Study:
- To longitudinally quantify and validate rsfMRI-derived FC changes after focal thalamic injury.
- To correlate FC recovery with electrophysiological and behavioral recovery.
- To assess the predictive power of rsfMRI FC for behavioral outcomes.
Main Methods:
- Inducing focal lesions in the thalamic ventroposterior lateral nucleus (VPL) in three squirrel monkeys.
- Longitudinal rsfMRI, local field potential recordings, and behavioral grasping tasks.
- Histological analysis to quantify lesion size and correlate with functional data.
Main Results:
- rsfMRI showed decreased intra- and inter-network FC immediately post-injury, with variable recovery trajectories.
- FC recovery patterns mirrored individual animal behavioral recovery.
- Electrophysiological and histological data corroborated rsfMRI findings.
- FC measures predicted behavioral recovery timeframe and indicated widespread injury effects.
Conclusions:
- rsfMRI-based FC is a valid indicator of functional integrity and behavioral relevance after brain circuit injury.
- FC recovery dynamics provide insights into neural plasticity and adaptation.
- The findings support rsfMRI's utility in preclinical models of brain injury and recovery.
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