scholarly journals Ketamine Restores Thalamic-Prefrontal Cortex Functional Connectivity in a Mouse Model of Neurodevelopmental Disorder-Associated 2p16.3 Deletion

2019 ◽  
Vol 30 (4) ◽  
pp. 2358-2371 ◽  
Author(s):  
Rebecca B Hughes ◽  
Jayde Whittingham-Dowd ◽  
Rachel E Simmons ◽  
Steven J Clapcote ◽  
Susan J Broughton ◽  
...  

Abstract 2p16.3 deletions, involving heterozygous NEUREXIN1 (NRXN1) deletion, dramatically increase the risk of developing neurodevelopmental disorders, including autism and schizophrenia. We have little understanding of how NRXN1 heterozygosity increases the risk of developing these disorders, particularly in terms of the impact on brain and neurotransmitter system function and brain network connectivity. Thus, here we characterize cerebral metabolism and functional brain network connectivity in Nrxn1α heterozygous mice (Nrxn1α+/− mice), and assess the impact of ketamine and dextro-amphetamine on cerebral metabolism in these animals. We show that heterozygous Nrxn1α deletion alters cerebral metabolism in neural systems implicated in autism and schizophrenia including the thalamus, mesolimbic system, and select cortical regions. Nrxn1α heterozygosity also reduces the efficiency of functional brain networks, through lost thalamic “rich club” and prefrontal cortex (PFC) hub connectivity and through reduced thalamic-PFC and thalamic “rich club” regional interconnectivity. Subanesthetic ketamine administration normalizes the thalamic hypermetabolism and partially normalizes thalamic disconnectivity present in Nrxn1α+/− mice, while cerebral metabolic responses to dextro-amphetamine are unaltered. The data provide new insight into the systems-level impact of heterozygous Nrxn1α deletion and how this increases the risk of developing neurodevelopmental disorders. The data also suggest that the thalamic dysfunction induced by heterozygous Nrxn1α deletion may be NMDA receptor-dependent.

2021 ◽  
Vol 12 ◽  
Author(s):  
Caroline M. Kelsey ◽  
Katrina Farris ◽  
Tobias Grossmann

Variability in functional brain network connectivity has been linked to individual differences in cognitive, affective, and behavioral traits in adults. However, little is known about the developmental origins of such brain-behavior correlations. The current study examined functional brain network connectivity and its link to behavioral temperament in typically developing newborn and 1-month-old infants (M [age] = 25 days; N = 75) using functional near-infrared spectroscopy (fNIRS). Specifically, we measured long-range connectivity between cortical regions approximating fronto-parietal, default mode, and homologous-interhemispheric networks. Our results show that connectivity in these functional brain networks varies across infants and maps onto individual differences in behavioral temperament. Specifically, connectivity in the fronto-parietal network was positively associated with regulation and orienting behaviors, whereas connectivity in the default mode network showed the opposite effect on these behaviors. Our analysis also revealed a significant positive association between the homologous-interhemispheric network and infants' negative affect. The current results suggest that variability in long-range intra-hemispheric and cross-hemispheric functional connectivity between frontal, parietal, and temporal cortex is associated with individual differences in affect and behavior. These findings shed new light on the brain origins of individual differences in early-emerging behavioral traits and thus represent a viable novel approach for investigating developmental trajectories in typical and atypical neurodevelopment.


2018 ◽  
Vol 44 (suppl_1) ◽  
pp. S233-S233
Author(s):  
Rebecca Hughes ◽  
Cosima Willi ◽  
Jayde Whittingham-Dowd ◽  
Susan Broughton ◽  
Greg Bristow ◽  
...  

2020 ◽  
Vol 143 ◽  
pp. 105011
Author(s):  
Jan R. Detrez ◽  
Inès R.H. Ben-Nejma ◽  
Kristof Van Kolen ◽  
Debby Van Dam ◽  
Peter Paul De Deyn ◽  
...  

2020 ◽  
Vol 16 (S5) ◽  
Author(s):  
Yashar Rahimpour ◽  
Jayandra J Himali ◽  
Alexa S Beiser ◽  
Mohamad Habes ◽  
Adrienne O’Donnell ◽  
...  

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