2023
DOI: 10.3390/cells12030391
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Early Neurobehavioral Characterization of the CD Mouse Model of Williams–Beuren Syndrome

Abstract: Williams–Beuren syndrome (WBS) is a neurodevelopmental disorder caused by a chromosomic microdeletion (7q11.23). WBS has been modeled by a mouse line having a complete deletion (CD) of the equivalent mouse locus. This model has been largely used to investigate the etiopathological mechanisms of WBS, although pharmacological therapies have not been identified yet. Surprisingly, CD mice were so far mainly tested in adulthood, despite the developmental nature of WBS and the critical relevance of early timing for … Show more

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Cited by 5 publications
(6 citation statements)
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“…There was an increase in connectivity in the default-mode network and a decrease in the salience network in the SR-/-mice compared to WT. Overall, our phenotype in adolescence is similar to models of William-Beuren syndrome that display sociability disinhibition and less anxiety (41). The increased social novelty behavior we observed in the adolescent SR-/-mice is similar to adolescent Grin1 hypomorph mice with near-complete loss of Grin1 expression (42).…”
Section: Discussionsupporting
confidence: 70%
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“…There was an increase in connectivity in the default-mode network and a decrease in the salience network in the SR-/-mice compared to WT. Overall, our phenotype in adolescence is similar to models of William-Beuren syndrome that display sociability disinhibition and less anxiety (41). The increased social novelty behavior we observed in the adolescent SR-/-mice is similar to adolescent Grin1 hypomorph mice with near-complete loss of Grin1 expression (42).…”
Section: Discussionsupporting
confidence: 70%
“…There was an increase in connectivity in the default-mode network and a decrease in the salience network in the SR-/- mice compared to WT. Overall, our phenotype in adolescence is similar to models of William-Beuren syndrome that display sociability disinhibition and less anxiety ( 41 ).…”
Section: Discussionsupporting
confidence: 58%
“…Recordings were then analyzed through Sonotrack Software (version 1.4.7, Metris B.V., Hoofddorp, The Netherlands) This software fully automatically recognizes several different USV types and also calculates quantitative parameters including the total number and mean duration of the calls. Based on previous literature on call types [22,[56][57][58][87][88][89], the following USV types were selected for automatic recognition in our dataset: short, flat, (ramp) up, (ramp) down, chevron, step-up, step-down, step-double (split), complex-3, complex-4, complex-5, complex-5+. Their characteristics are described in detail elsewhere [22,[56][57][58].…”
Section: Social Interaction and Ultrasonic Communicationmentioning
confidence: 99%
“…Based on previous literature on call types [22,[56][57][58][87][88][89], the following USV types were selected for automatic recognition in our dataset: short, flat, (ramp) up, (ramp) down, chevron, step-up, step-down, step-double (split), complex-3, complex-4, complex-5, complex-5+. Their characteristics are described in detail elsewhere [22,[56][57][58]. Definitions of call types were mutually exclusive.…”
Section: Social Interaction and Ultrasonic Communicationmentioning
confidence: 99%
See 1 more Smart Citation