Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing
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Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing. / Zhukovsky, Peter; Savulich, George; Morgan, Sarah; Dalley, Jeffrey W; Williams, Guy B; Ersche, Karen D.
In: BRAIN COMMUN, Vol. 4, No. 3, fcac079, 2022.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Morphometric similarity deviations in stimulant use disorder point towards abnormal brain ageing
AU - Zhukovsky, Peter
AU - Savulich, George
AU - Morgan, Sarah
AU - Dalley, Jeffrey W
AU - Williams, Guy B
AU - Ersche, Karen D
N1 - © The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.
PY - 2022
Y1 - 2022
N2 - Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sectional morphometric similarity trajectories of ageing in the publicly available Rockland Sample (20-80 years of age, n = 665). We then compared morphometric similarity and neuropsychological function between non-treatment-seeking, actively using patients with stimulant use disorder (n = 183, mean age: 35.6 years) and healthy control participants (n = 148, mean age: 36.0 years). The significantly altered mean regional morphometric similarity was found in 43 cortical regions including the inferior and orbital frontal gyri, pre/postcentral gyri and anterior temporal, superior parietal and occipital areas. Deviations from normative morphometric similarity trajectories in patients with stimulant use disorder suggested abnormal brain ageing. Furthermore, deficits in paired associates learning were consistent with neuropathology associated with both ageing and stimulant use disorder. Morphometric similarity mapping provides a promising biomarker for ageing in health and disease and may complement existing neuropsychological markers of age-related cognitive decline. Neuropathological ageing mechanisms in stimulant use disorder warrant further investigation to develop more age-appropriate treatments for older people addicted to stimulant drugs.
AB - Chronic drug use negatively impacts ageing, resulting in diminished health and quality of life. However, little is known about biomarkers of abnormal ageing in stimulant drug users. Using morphometric similarity network mapping, a novel approach to structural connectomics, we first mapped cross-sectional morphometric similarity trajectories of ageing in the publicly available Rockland Sample (20-80 years of age, n = 665). We then compared morphometric similarity and neuropsychological function between non-treatment-seeking, actively using patients with stimulant use disorder (n = 183, mean age: 35.6 years) and healthy control participants (n = 148, mean age: 36.0 years). The significantly altered mean regional morphometric similarity was found in 43 cortical regions including the inferior and orbital frontal gyri, pre/postcentral gyri and anterior temporal, superior parietal and occipital areas. Deviations from normative morphometric similarity trajectories in patients with stimulant use disorder suggested abnormal brain ageing. Furthermore, deficits in paired associates learning were consistent with neuropathology associated with both ageing and stimulant use disorder. Morphometric similarity mapping provides a promising biomarker for ageing in health and disease and may complement existing neuropsychological markers of age-related cognitive decline. Neuropathological ageing mechanisms in stimulant use disorder warrant further investigation to develop more age-appropriate treatments for older people addicted to stimulant drugs.
U2 - 10.1093/braincomms/fcac079
DO - 10.1093/braincomms/fcac079
M3 - SCORING: Journal article
C2 - 35694145
VL - 4
JO - BRAIN COMMUN
JF - BRAIN COMMUN
SN - 2632-1297
IS - 3
M1 - fcac079
ER -