Functional connectivity MRI tracks memory networks after maze learning in rodents

Fatima A. Nasrallah, Xuan Vinh To, Der Yow Chen, Aryeh Routtenberg, Kai Hsiang Chuang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

Learning and memory employs a series of cognitive processes which require the coordination of multiple areas across the brain. However in vivo imaging of cognitive function has been challenging in rodents. Since these processes involve synchronous firing among different brain loci we explored functional connectivity imaging with resting-state fMRI. After 5-day training on a hidden platform watermaze task, notable signal correlations were seen between the hippocampal CA3 and other structures, including thalamus, septum and cingulate cortex, compared to swim control or naïve animals. The connectivity sustained 7 days after training and was reorganized toward the cortex, consistent with views of memory trace distribution leading to memory consolidation. These data demonstrates that, after a cognitive task, altered functional connectivity can be detected in the subsequently sedated rodent using in vivo imaging. This approach paves the way to understand dynamics of area-dependent distribution processes in animal models of cognition.

Original languageEnglish (US)
Pages (from-to)196-202
Number of pages7
JournalNeuroimage
Volume127
DOIs
StatePublished - Feb 15 2016

Funding

We like to thank the Singapore Research Centre of GlaxoSmithKline R&D China for the access of the water maze facility. We appreciate Prof K.C. Liang of National Taiwan University, Taiwan on the design of behavior training. The work was supported by the Intramural Research program of the Singapore Bioimaging Consortium , Biomedical Sciences Institutes , Agency for Science, Technology and Research (A*STAR) , Singapore.

Keywords

  • Functional connectivity
  • Learning and memory
  • MRI
  • Morris water maze
  • Neural plasticity
  • Resting state

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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