Takyi Raphael B, Plantin Jeanette, Charron Sylvain, Maier Marc A, Baron Jean-Claude, Turc Guillaume, Rosso Charlotte, Debacker Clément, Lindberg Påvel G
Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France.
Department of Clinical Science, Karolinska Institutet, Danderyd University Hospital, 171 77 Stockholm, Sweden.
Brain Commun. 2025 Aug 14;7(5):fcaf299. doi: 10.1093/braincomms/fcaf299. eCollection 2025.
Brain age, as distinct from chronological age, may reveal post-stroke recovery mechanisms, but longitudinal studies tracking brain age are lacking. We explored longitudinal change of brain age post-stroke and its relation to upper limb sensorimotor outcome. T-weighted MRI at baseline (∼3 weeks) and follow-up (3-7 months) post-stroke was used to estimate brain age. Difference to chronological age was calculated as brain age gap (BAG). Grey and white matter changes and lesion location related to increased brain ageing were investigated, controlling for lesion volume. Association between BAG change and upper limb sensorimotor outcome was studied using linear mixed effects regression. Totally, 114 stroke patients with arm/hand hemiparesis were pooled from three studies. BAG significantly increased from baseline to follow-up, a period of ∼6 months, by a mean of 3.62 years ( = -7.31; < 0.001). Voxel-based morphometry showed that high BAG change was related to reduced grey and white matter volume ipsilesionally, extending beyond the stroke lesion. Voxel-based lesion symptom mapping showed that lesion to thalamocortical projections, internal capsule and corona radiata related to accelerated brain ageing. BAG change was significantly associated with motor outcomes in the sub-acute to chronic phase, as expressed by Fugl-Meyer assessment ( = -5.62, SE = 2.81, = -2.00, = 0.05), maximum grip strength ( = -0.14, SE = 0.04, = -3.36, = 0.001) and dexterity assessment ( = -0.09, SE = 0.04, = -2.17, = 0.03). We demonstrate increased brain ageing within the first few months post-stroke. This secondary neurodegeneration was negatively related to motor outcome. Brain age may be a valid whole-brain probe of individual secondary post-stroke degeneration, relevant for predicting recovery and identifying targets of neural plasticity.
脑龄与实际年龄不同,它可能揭示中风后的恢复机制,但缺乏追踪脑龄的纵向研究。我们探讨了中风后脑龄的纵向变化及其与上肢感觉运动结果的关系。在中风后的基线期(约3周)和随访期(3 - 7个月)进行T加权磁共振成像,以估计脑龄。计算与实际年龄的差值作为脑龄差距(BAG)。研究了与脑老化增加相关的灰质和白质变化以及病变位置,并对病变体积进行了控制。使用线性混合效应回归研究BAG变化与上肢感觉运动结果之间的关联。总共从三项研究中汇集了114例患有手臂/手部偏瘫的中风患者。在约6个月的时间里,从基线到随访,BAG显著增加,平均增加3.62岁(t = -7.31;P < 0.001)。基于体素的形态学测量显示,高BAG变化与同侧灰质和白质体积减少有关,范围超出中风病变。基于体素的病变症状映射显示,丘脑皮质投射、内囊和放射冠的病变与加速脑老化有关。BAG变化与亚急性期至慢性期的运动结果显著相关,如Fugl - Meyer评估所示(β = -5.62,标准误 = 2.81,t = -2.00,P = 0.05)、最大握力(β = -0.14,标准误 = 0.04,t = -3.36,P = 0.001)和灵巧性评估(β = -0.09,标准误 = 0.04,t = -2.17,P = 0.03)。我们证明了中风后的头几个月内脑老化增加。这种继发性神经退行性变与运动结果呈负相关。脑龄可能是个体中风后继发性退变的有效全脑指标,与预测恢复和确定神经可塑性靶点相关。