Angela K. Nietz , Laurentiu S. Popa , Russell E. Carter , Morgan L. Gerhart , Keerthi Manikonda , Laura P.W. Ranum , Timothy J. Ebner
{"title":"Cerebral cortical functional hyperconnectivity in a mouse model of spinocerebellar ataxia type 8 (SCA8)","authors":"Angela K. Nietz , Laurentiu S. Popa , Russell E. Carter , Morgan L. Gerhart , Keerthi Manikonda , Laura P.W. Ranum , Timothy J. Ebner","doi":"10.1016/j.nbd.2025.106795","DOIUrl":null,"url":null,"abstract":"<div><div>Spinocerebellar Ataxia Type 8 (SCA8) is an inherited neurodegenerative disease caused by a bidirectionally expressed CTG•CAG expansion mutation in the <em>ATXN8</em> and <em>ATXN8OS</em> genes. While SCA8 patients have motor abnormalities, patients may also exhibit psychiatric symptoms and cognitive dysfunction. It is difficult to elucidate how the disease alters brain function in areas with little or no degeneration producing both motor and cognitive symptoms. Using transparent polymer skulls and CNS-wide GCaMP6f expression, we studied neocortical networks throughout SCA8 progression using wide-field Ca<sup>2+</sup> imaging in a transgenic mouse model of SCA8. Compared to wild-type controls, neocortical networks in SCA8+ mice were hyperconnected globally, which leads to network configurations with increased global efficiency and centrality. At the regional level, significant network changes occurred in nearly all cortical regions, however mainly involved sensory and association cortices. Changes in functional connectivity in anterior motor regions worsened later in the disease. Near perfect decoding of animal genotype was obtained using a generalized linear model based on canonical correlation strengths between activity in cortical regions. The major contributors to decoding were concentrated in the somatosensory, higher visual and retrosplenial cortices and occasionally extended into the motor regions, demonstrating that the areas with the largest network changes are predictive of disease state.</div></div>","PeriodicalId":19097,"journal":{"name":"Neurobiology of Disease","volume":"206 ","pages":"Article 106795"},"PeriodicalIF":5.1000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neurobiology of Disease","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0969996125000117","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Spinocerebellar Ataxia Type 8 (SCA8) is an inherited neurodegenerative disease caused by a bidirectionally expressed CTG•CAG expansion mutation in the ATXN8 and ATXN8OS genes. While SCA8 patients have motor abnormalities, patients may also exhibit psychiatric symptoms and cognitive dysfunction. It is difficult to elucidate how the disease alters brain function in areas with little or no degeneration producing both motor and cognitive symptoms. Using transparent polymer skulls and CNS-wide GCaMP6f expression, we studied neocortical networks throughout SCA8 progression using wide-field Ca2+ imaging in a transgenic mouse model of SCA8. Compared to wild-type controls, neocortical networks in SCA8+ mice were hyperconnected globally, which leads to network configurations with increased global efficiency and centrality. At the regional level, significant network changes occurred in nearly all cortical regions, however mainly involved sensory and association cortices. Changes in functional connectivity in anterior motor regions worsened later in the disease. Near perfect decoding of animal genotype was obtained using a generalized linear model based on canonical correlation strengths between activity in cortical regions. The major contributors to decoding were concentrated in the somatosensory, higher visual and retrosplenial cortices and occasionally extended into the motor regions, demonstrating that the areas with the largest network changes are predictive of disease state.
期刊介绍:
Neurobiology of Disease is a major international journal at the interface between basic and clinical neuroscience. The journal provides a forum for the publication of top quality research papers on: molecular and cellular definitions of disease mechanisms, the neural systems and underpinning behavioral disorders, the genetics of inherited neurological and psychiatric diseases, nervous system aging, and findings relevant to the development of new therapies.