Altered neural networks and cognition in a hereditary colon cancer

IBRO Neuroscience Reports

Serhiy Chumachenko¹  Constance M. Moore²  Marcia Cruz-Correa²  Jean A. King³  Stephen R. Hooper³  Carlos Luciano³  Ryan J. Cali⁴  Beatriz Cintron⁵  Francis M. Giardiello⁵  Benjamin C. Nephew⁵  Ana Cecilia Sala⁵ 

[1] Corresponding author at: Department of Psychiatry, UMass Medical School, Worcester, MA, USA.;Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, USA;Department of Medicine, Medical Sciences Campus, University of Puerto Rico School of Medicine, San Juan, PR, USA;Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA;Department of Psychiatry, UMass Medical School, Worcester, MA, USA;

关键词: Familial Adenomatous Polyposis;    Resting state functional connectivity;    Cognition;    Cancer;    fMRI;    Neural networks;   

DOI  :  

来源: DOAJ

【 摘 要 】

Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indicate that FAP patients experience significant deficits across many cognitive domains. In the current study, fMRI brain metrics in a FAP population and matched controls were used to further the mechanistic understanding of reported cognitive deficits. This research identified and characterized any possible differences in resting brain networks and associations between neural network changes and cognition from 34 participants (18 FAP patients, 16 healthy controls). Functional connectivity analysis was performed using FSL with independent component analysis (ICA) to identify functional networks. Significant differences between cases and controls were observed in 8 well-established resting state networks. With the addition of an aggregate cognitive measure as a covariate, these differences were virtually non-existent, indicating a strong correlation between cognition and brain activity at the network level. The data indicate robust and pervasive effects on functional neural network activity among FAP patients and these effects are likely involved in cognitive deficits associated with this disease.

【 授权许可】

Unknown