Voineskos Aristotle, Zhukovsky Peter, Butters Meryl, Lavretsky Helen, Brown Patrick, Shimony Joshua, Lenze Eric, Blumberger Daniel, Flint Alastair, Karp Jordan, Roose Steven, Dickie Erin, Felsky Daniel, Nichol Ginger, Al-Dabagh Yar, Schoer Nicole, Obiri Feyi, Runk Ashlyn, Conaty Kayla, Mulsant Benoit H
CAMH.
Harvard Medical School/McLean Hospital.
Res Sq. 2025 Jun 3:rs.3.rs-6340032. doi: 10.21203/rs.3.rs-6340032/v1.
Older adults with treatment-resistant depression are at significant risk for cognitive impairment. The relationship between treatment response and cognitive function in this population is not well-established. We examined neural correlates of executive and memory function, and their relationship with prospective treatment outcomes. In the context of a longitudinal biomarker study embedded within a multi-center randomized controlled trial for late-life treatment-resistant depression, 397 participants completed baseline neuropsychological testing, and of these 234 adults successfully completed a baseline MRI scan. Multivariate regressions were used to test for brain-cognition associations between memory and executive function and brain functional connectivity, white matter integrity, and gray matter structure. Further, we employed regularized elastic net regressions to identify biomarkers predicting depression remission (MADRS≤10) in the clinical trial. Among participants who completed neuroimaging better cognition was associated with lower connectivity between components of the default mode and the frontoparietal networks and within the frontoparietal network (multivariate r=0.37, p<0.01). Using diffusion imaging data, lower tract integrity in a distributed set of tracts was associated with poorer executive function (multivariate r=0.27, p<0.05). Additionally, gray matter structure was positively associated with cognition (multivariate r=0.38, p<0.05). Education and better structural brain maintenance but not overall health were associated with better cognition. Ongoing treatment resistance was predicted by poorer cognition and gray matter structure. We identified distinct cross-sectional associations between specific neural circuits and variation in cognitive function in people with treatment-resistant late-life depression. We also found worse cognitive function and gray matter structure predicted ongoing treatment resistance to medication offered in the clinical trial.
患有难治性抑郁症的老年人存在显著的认知障碍风险。该人群中治疗反应与认知功能之间的关系尚未明确确立。我们研究了执行功能和记忆功能的神经关联及其与预期治疗结果的关系。在一项针对老年难治性抑郁症的多中心随机对照试验中的纵向生物标志物研究背景下,397名参与者完成了基线神经心理学测试,其中234名成年人成功完成了基线MRI扫描。使用多元回归来测试记忆和执行功能与脑功能连接、白质完整性和灰质结构之间的脑-认知关联。此外,我们采用正则化弹性网回归来识别在临床试验中预测抑郁症缓解(蒙哥马利-阿斯伯格抑郁量表≤10)的生物标志物。在完成神经影像学检查的参与者中,更好的认知与默认模式和额顶网络各组成部分之间以及额顶网络内部较低的连接性相关(多元r=0.37,p<0.01)。利用扩散成像数据,一组分布区域的较低束完整性与较差的执行功能相关(多元r=0.27,p<0.05)。此外,灰质结构与认知呈正相关(多元r=0.38,p<0.05)。教育程度和更好的脑结构维持与更好的认知相关,但总体健康状况与之无关。较差的认知和灰质结构预示着持续的治疗抵抗。我们确定了难治性老年抑郁症患者特定神经回路与认知功能变化之间独特的横断面关联。我们还发现较差的认知功能和灰质结构预示着对临床试验中提供的药物治疗持续存在抵抗。