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Altered neural networks and cognition in a hereditary colon cancer.
Cali, Ryan J; Nephew, Benjamin C; Moore, Constance M; Chumachenko, Serhiy; Sala, Ana Cecilia; Cintron, Beatriz; Luciano, Carlos; King, Jean A; Hooper, Stephen R; Giardiello, Francis M; Cruz-Correa, Marcia.
Affiliation
  • Cali RJ; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Nephew BC; Department of Psychiatry, UMass Medical School, Worcester, MA, USA.
  • Moore CM; Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, USA.
  • Chumachenko S; Department of Psychiatry, UMass Medical School, Worcester, MA, USA.
  • Sala AC; Department of Psychiatry, UMass Medical School, Worcester, MA, USA.
  • Cintron B; Department of Medicine, Medical Sciences Campus, University of Puerto Rico School of Medicine, San Juan, PR, USA.
  • Luciano C; Department of Medicine, Medical Sciences Campus, University of Puerto Rico School of Medicine, San Juan, PR, USA.
  • King JA; Department of Medicine, Medical Sciences Campus, University of Puerto Rico School of Medicine, San Juan, PR, USA.
  • Hooper SR; Department of Psychiatry, UMass Medical School, Worcester, MA, USA.
  • Giardiello FM; Department of Biology and Biotechnology, Worcester Polytechnic Institute, Worcester, MA, USA.
  • Cruz-Correa M; Department of Allied Health Sciences, School of Medicine, University of North Carolina-Chapel Hill, NC, USA.
IBRO Neurosci Rep ; 11: 137-143, 2021 Dec.
Article in En | MEDLINE | ID: mdl-34693396
ABSTRACT
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: IBRO Neurosci Rep Year: 2021 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: IBRO Neurosci Rep Year: 2021 Document type: Article Affiliation country: United States