4.6 Article

Acquisition of Spatial Search Strategies and Reversal Learning in the Morris Water Maze Depend on Disparate Brain Functional Connectivity in Mice

Journal

CEREBRAL CORTEX
Volume 29, Issue 11, Pages 4519-4529

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/cercor/bhy329

Keywords

functional connectivity; Morris water maze; mouse brain; search strategy; spatial learning

Categories

Funding

  1. EU Seventh Framework Programme Imaging of Neuroinflammation in Neurodegenerative Diseases INMiND [278850]
  2. Molecular Imaging of Brain Pathophysiology BRAINPATH project within the Marie Curie Actions-Industry-Academia Partnerships and Pathways (IAPP) [612360]
  3. FLAG-ERA JTC 2015-Ultrafast Functional Ultrasound (fUS) Imaging for HighlyResolved Targeted Mapping of Functional Connectivity in the Awake Mouse Brain [G.0D7615N]
  4. University Research Fund of Antwerp University BOF DOCPRO [FFB150340]
  5. Institute for the Promotion of Innovation by Science and Technology (IWT) Flanders [13160]
  6. Research Foundation Flanders (FWO) [G.0D76.14, G.0587.14, 12R1119N]
  7. University Research Fund of the University of Leuven (FLEXIBRAIN project) [C14/17/042]

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Learning has been proposed to coincide with changes in connections between brain regions. In the present study, we used resting-state fMRI (rsfMRI) to map brain-wide functional connectivity (FC) in mice that were trained in the hidden-platform version of the Morris water maze. C57BL6 mice were investigated in a small animal MRI scanner following 2, 10, or 15 days of acquisition learning, or 5 days of reversal learning. Spatial learning coincided with progressive and changing FC between telencephalic regions that have been implemented in spatial learning (such as hippocampus, cingulate, visual, and motor cortex). Search strategy assessment demonstrated that the use of cognitively advanced spatial strategies correlated positively with extensive telencephalic connectivity, whereas non-spatial strategies correlated negatively with connectivity. FC patterns were different and more extensive after reversal learning compared with after extended acquisition learning, which could explain why reversal learning has been shown to be more sensitive to subtle functional defects.

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