Brain functional connectivity in lung cancer population: an exploratory study

M. Simó, X. Rifà-Ros, L. Vaquero, P. Ripollés, N. Cayuela, J. Jové, A. Navarro, F. Cardenal, J. Bruna, Antoni Rodríguez-Fornells

Research output: Contribution to journalArticlepeer-review


The present study aimed to explore the functional connectivity differences in Resting State Networks (RSNs) induced by cancer and chemotherapy in Lung Cancer (LC) patients using an Independent Component Analysis (ICA). Three matched groups of 15 LC patients following Chemotherapy (C+), 15 LC patients before Chemotherapy (C-) and 15 Healthy Controls (HC) were included. Analysis was performed using ICA and a multivariate pattern analysis (MVPA) to classify groups based on profiles of functional connectivity. We found significant differences in four of the RSN identified: Default Mode Network (DMN), Predominantly Left and Right Anterior Temporal Network, and Cerebellum Network. Whereas DMN showed decreased connectivity, the other RSNs exhibited increased connectivity in both LC groups compared to HC and in C+ in comparison to C-. MVPA discriminated significantly and accurately between all groups. Our study showed that disrupted functional connectivity associated with cancer and chemotherapy-induced cognitive deficits is not only related to DMN decreased connectivity abnormalities but also to an increased connectivity of other RSNs, suggesting a potential compensatory mechanism. [Figure not available: see fulltext.].

Original languageEnglish (US)
Pages (from-to)369-382
Number of pages14
JournalBrain Imaging and Behavior
Issue number2
StatePublished - Apr 1 2018


  • Chemotherapy
  • Default mode network
  • Functional connectivity
  • Lung cancer
  • Resting-state functional magnetic resonance imaging

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health
  • Behavioral Neuroscience


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