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Longitudinal Trajectory of Cognition, Brain Morphometry, and Brain Predicted Age in Unaffected First-Degree Relatives
Hanne Lie Kjærstad1,2, Julian Macoveanu1,2, Alexander Tobias Ysbæk-Nielsen3
1Neurocognition and Emotion in Affective Disorders (NEAD) Centre, Psychiatric Centre Copenhagen, Mental Health Services, Capital Region of Denmark, and Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
Introduction:
Prior research suggests structural brain abnormalities and cognitive difficulties in patients with bipolar disorder. Although there is some evidence that similar structural and cognitive changes may also be present in unaffected relatives (UR) of patients with bipolar disorder, it is not known whether they remain static or aggravate over time. In this study, we investigate the longitudinal trajectories of cognition and brain structure in UR.
Methods:
Longitudinal neurocognitive and MRI data were acquired at baseline from UR (n = 72) and healthy controls (HC; n = 65) and at 15 (±4) months follow-up (UR n = 32; HC n = 38). The differential trajectories between UR and HC in neurocognitive performance, white matter volume, regional cortical gray matter (GM) volume and thickness, hippocampal and amygdala volumes, and the difference between biological age and age estimated from brain MRI (brainPAD) were investigated using linear mixed models.
Results:
UR showed subtle impairments in processing speed, which normalized at follow-up to levels comparable to HC. At both time points, UR showed stable enlargement of amygdalae compared to HC. There was a significant group-by-time interaction effect for the GM volume in the left superior temporal gyrus, driven by UR at baseline displaying larger GM volume compared to HC, which normalized over time. There was no significant difference between UR and HC in brainPAD.
Conclusion:
Bilaterally enlarged amygdala and larger temporal GM volume in UR compared to HC may reflect a vulnerability factor for bipolar disorder. Longer follow-up times are needed to elucidate structural predictors of risk of subsequent illness onset.
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