2016
DOI: 10.1016/j.dib.2016.03.041
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Resting state functional connectivity data supports detection of cognition in the rodent brain

Abstract: Learning is a process which induces plastic changes in the synapses and connections across different regions of the brain. It is hypothesized that these new connections can be tracked with resting state functional connectivity MRI. While most of the evidence of learning-induced plasticity arises from previous human data, data from sedated rats that had undergone training for either 1 day or 5 days in a Morris Watermaze is presented. Seed points were taken from the somatosensory and visual cortices, and the hip… Show more

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Cited by 8 publications
(9 citation statements)
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“…RS-fMRI has recently been highlighted as a new technique for functional connectivity changes in subjects with different subtypes of mild cognitive impairment (MCI) and different stages of cognitive impairment, which avoids variability in task fMRI ( Joo et al, 2016 ; Li et al, 2017 ; Pan et al, 2017 ). Similar findings were obtained in animal models, as resting-state functional connectivity data supports the detection of cognition in the rodent brain ( Nasrallah et al, 2016 ). These findings were mainly acquired by independent component analysis or seed-based approaches to delineate functionally connected brain regions or networks of regions.…”
Section: Introductionsupporting
confidence: 81%
See 1 more Smart Citation
“…RS-fMRI has recently been highlighted as a new technique for functional connectivity changes in subjects with different subtypes of mild cognitive impairment (MCI) and different stages of cognitive impairment, which avoids variability in task fMRI ( Joo et al, 2016 ; Li et al, 2017 ; Pan et al, 2017 ). Similar findings were obtained in animal models, as resting-state functional connectivity data supports the detection of cognition in the rodent brain ( Nasrallah et al, 2016 ). These findings were mainly acquired by independent component analysis or seed-based approaches to delineate functionally connected brain regions or networks of regions.…”
Section: Introductionsupporting
confidence: 81%
“…The behavioral changes in rats have been confirmed by RS-fMRI that had a linear correlation with functional topology networks ( Nasrallah et al, 2016 ). Therefore, we chose the Y maze and MWM tasks, which are the most commonly used behavioral tests on rats’ memory performance ( D’Hooge and De Deyn, 2001 ; Kim et al, 2006 ), to explore the effects of miR-30e overexpression and TSA treatment on rat behavior.…”
Section: Discussionmentioning
confidence: 88%
“…Previous behavioral and neuroendocrine gene expression analyses of ECSS exposed animals have described depressed maternal care, decreased aggression, increased anxiety, and numerous behaviorally relevant changes in gene expression in stress and depression associated nuclei [5,6,15]. The present approach identified functional connectivity in the range of our previous rat studies [10,11,16] and those of other groups [17,18], and was sensitive to group differences even at modest connectivity levels. These rodent RSFC data support the hypotheses that the ECSS procedure has long term effects on neural connectivity in numerous social behavior, stress, and depression relevant brain nuclei and that socially focused pathological animal models involve robust changes in resting connectivity in multiple clinically relevant networks, including the limbic system, the reward system, and the introspective socioaffective and salience networks.…”
Section: Discussionmentioning
confidence: 76%
“…In addition, it is reported that DMN regions are involved in a wide spectrum of language processing, visual and auditory attention, and motoric activities [ 29 ]. In animal studies, it has been shown that the connectivity within the rat DMN is increased after maze learning but decreased one week later, suggesting that the rodent DMN may be involved in early memory consolidation [ 30 ]. Other groups further identified sub-network modules in the rat DMN that display age- and behavior-related decline [ 31 ].…”
Section: Discussionmentioning
confidence: 99%