A novel brain functional-structural hybrid analysis to explain the effect of a 6-month psychosocial intervention on resilience in breast cancer

• Muzi Liang ^[9] ; Jin Zhou ^[1] ; Peng Chen ^[10] ; Wenjing Wu ^[2] ; Yalan Song ^[3] ; Guangyun Hu ^[11] ; Qu Hu ^[4] ; Zhe Sun ^[5] ; Yuanliang Yu ^[6] ; Yuyan Liang ^[5] ; Alex Molassiotis ^[7] ; M. Tish Knobf ^[8] ; Zengjie Ye ^[3]
  1. [1] Southern Medical University

     Southern Medical University

     China

     
  2. [2] Xiamen University

     Xiamen University

     China

     
  3. [3] Guangzhou Medical University

     Guangzhou Medical University

     China

     
  4. [4] Chongqing University

     Chongqing University

     China

     
  5. [5] Guangzhou University of Chinese Medicine

     Guangzhou University of Chinese Medicine

     China

     
  6. [6] South China University of Technology

     South China University of Technology

     China

     
  7. [7] University of Derby

     University of Derby

     Reino Unido

     
  8. [8] Yale University

     Yale University

     Town of New Haven, Estados Unidos

     
  9. [9] Guangdong Academy of Population Development, Guangzhou, China
  10. [10] Guizhou University of Traditional Chinese Medicine, Guiyang, China
  11. [11] School of Nursing, Army Medical University, Chongqing Municipality, China

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• Localización: International journal of clinical and health psychology, ISSN 1697-2600, Vol. 25, Nº. 4, 2025, págs. 91-100
• Idioma: inglés
• DOI: 10.1016/j.ijchp.2025.100639
• Enlaces
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• Resumen

  • Purposes To explore if pretreatment brain function/structure connectome could explain the response to a psychosocial intervention on resilience in breast cancer.

    Methods Between February 2018 and October 2021, women newly diagnosed with breast cancer were retrospectively enrolled from the Be Resilient to Breast Cancer (BRBC) trial and received a supportive-expressive therapy intervention. Baseline Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) combined with Diffusion Tensor Imaging (DTI) were administered and resilience was scored by 10-item Resilience Scale specific to Cancer (RS-SC-10) at baseline and after the intervention (6 months). Response to the supportive intervention on resilience was defined as > 0.5 standard deviation (SD) improvement at 6 months compared to baseline mean resilience score.

    Results A total of 105 patients received intervention. At 6 months, the resilience score improved in 62.9 % (N = 66), defined as the Response group. Amygdala (53 %) and Hippocampus (15 %) in rs-fMRI and CorpusCallosum_ForcepsMinor (96 %) in DTI were recognized as the main significant brain regions associated with treatment response.

    Conclusion These preliminary data suggest that neuro-markers of brain function/structure connectome from MR imaging might be useful in evaluating response to behavioral interventions on resilience.

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