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Amygdala Functional Connectivity Features in Grief: A Pilot Longitudinal Study.

Gang Chen1, B Douglas Ward2, Stacy A Claesges3

  • 1Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin (GC, SAC, SJL, JSG), Milwaukee, WI; Department of Biophysics, Medical College of Wisconsin (GC, BDW, SJL), Milwaukee, WI.

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Neuroimaging reveals altered amygdala functional connectivity in complicated grief (CG). Specific brain network patterns at baseline predict worsening grief symptoms over time, offering potential biomarkers for this debilitating condition.

Keywords:
Amygdalabereavementbrain networkcomplicated griefemotion processingemotion regulationfunctional connectivitygriefresting-state functional MRI

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Neuroimaging

Background:

  • Complicated grief (CG) is a debilitating condition affecting a minority of older adults after loss.
  • The neurobiological underpinnings of maladaptive grief responses remain largely unknown.
  • Understanding these mechanisms is crucial for developing targeted interventions.

Purpose of the Study:

  • To investigate amygdala brain network features in complicated grief.
  • To examine how these features explain symptom variance cross-sectionally.
  • To determine if these features longitudinally predict grief symptom trajectories.

Main Methods:

  • Resting-state functional magnetic resonance imaging (fMRI) was used to assess amygdala functional connectivity (Fc).
  • Participants included 35 adults within 1 year of losing a loved one and 21 healthy controls (HC).
  • Clinical assessments, including the Inventory of Complicated Grief (ICG), were conducted over 26 weeks.

Main Results:

  • Grief participants exhibited increased amygdala Fc in posterior default mode and thalamus regions compared to HC.
  • Baseline amygdala Fc in default mode and ventral affective regions correlated positively with ICG scores.
  • Increased baseline amygdala connectivity with dorsal frontal and salience networks predicted worsening ICG scores longitudinally.

Conclusions:

  • Amygdala-based brain network measures show potential as cross-sectional and longitudinal correlates of grief symptoms.
  • These findings provide preliminary evidence for amygdala network function as potential biomarkers for complicated grief.
  • Further research can explore the therapeutic implications of targeting these brain networks.