Frequency-dependent alterations of global signal topography in patients with major depressive disorder

Chengxiao Yang, Bharat Biswal, Qian Cui, Xiujuan Jing, Yujia Ao, Yifeng Wang

Research output: Contribution to journalArticlepeer-review


Background. Major depressive disorder (MDD) is associated not only with disorders in multiple brain networks but also with frequency-specific brain activities. The abnormality of spatiotemporal networks in patients with MDD remains largely unclear. Methods. We investigated the alterations of the global spatiotemporal network in MDD patients using a large-sample multicenter resting-state functional magnetic resonance imaging dataset. The spatiotemporal characteristics were measured by the variability of global signal (GS) and its correlation with local signals (GSCORR) at multiple frequency bands. The association between these indicators and clinical scores was further assessed. Results. The GS fluctuations were reduced in patients with MDD across the full frequency range (0–0.1852 Hz). The GSCORR was also reduced in the MDD group, especially in the relatively higher frequency range (0.0728–0.1852 Hz). Interestingly, these indicators showed positive correlations with depressive scores in the MDD group and relative negative correlations in the control group. Conclusion. The GS and its spatiotemporal effects on local signals were weakened in patients with MDD, which may impair inter-regional synchronization and related functions. Patients with severe depression may use the compensatory mechanism to make up for the functional impairments.

Original languageEnglish (US)
JournalPsychological Medicine
StateAccepted/In press - 2024
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Applied Psychology
  • Psychiatry and Mental health


  • frequency-dependence
  • global signal
  • global topography
  • major depressive disorder
  • resting-state fMRI


Dive into the research topics of 'Frequency-dependent alterations of global signal topography in patients with major depressive disorder'. Together they form a unique fingerprint.

Cite this