Translational Cognitive Neuroscience Laboratory, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA/Multiple Sclerosis Center, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
Department of Psychiatry, Columbia University and the New York State Psychiatric Institute, New York, NY, USA.
Mult Scler. 2022 Oct;28(12):1963-1972. doi: 10.1177/13524585221099169. Epub 2022 Jun 4.
Memory dysfunction is common in multiple sclerosis (MS); mechanistic understanding of its causes is lacking. Large-scale network resting-state functional connectivity (RSFC) is sensitive to memory dysfunction.
We derived and tested summary metrics of memory network RSFC.
Cognitive data and 3T magnetic resonance imaging (MRI) scans were collected from 235 MS patients and 35 healthy controls (HCs). Index scores were calculated as RSFC within (anteriority index, AntI) and between (integration index, IntI) dorsomedial anterior temporal and medial temporal memory subnetworks. Group differences in index expression were evaluated. Associations between index scores and memory/non-memory cognition were evaluated; relationships between T2 lesion volume (T2LV) and index scores were assessed.
Index scores were related to memory and T2LV in MS patients, who showed marginally elevated AntI relative to HC ( = 0.06); no group differences were found for IntI. Better memory was associated with higher AntI (β = 0.15, = 0.018) and IntI (β = 0.16, = 0.014). No associations were found for non-memory cognition. Higher T2LV was associated with higher AntI and IntI; exploratory mediation analysis revealed significant inconsistent mediation, that is, higher index scores partially suppressed the negative association between T2LV and memory.
Summary, within-subject metrics permit replication and circumvent challenges of traditional (incommensurate) RSFC variables to advance development of mechanistic models of memory dysfunction in MS.
记忆功能障碍在多发性硬化症（MS）中很常见；其病因的机制理解仍有所欠缺。大规模网络静息态功能连接（RSFC）对记忆功能障碍很敏感。
我们推导并测试了记忆网络 RSFC 的综合指标。
从 235 名 MS 患者和 35 名健康对照（HCs）中收集认知数据和 3T 磁共振成像（MRI）扫描。指标得分计算为背内侧前颞叶和内侧颞叶记忆子网内（前因性指数，AntI）和子网间（整合指数，IntI）的 RSFC。评估指标表达的组间差异。评估指标得分与记忆/非记忆认知之间的关联；评估 T2 病变体积（T2LV）与指标得分之间的关系。
在 MS 患者中，指标得分与记忆和 T2LV 相关，与 HC 相比，MS 患者的 AntI 略高（ = 0.06）；IntI 无组间差异。更好的记忆与更高的 AntI（β = 0.15， = 0.018）和 IntI（β = 0.16， = 0.014）相关。非记忆认知没有关联。更高的 T2LV 与更高的 AntI 和 IntI 相关；探索性中介分析显示存在显著不一致的中介，即更高的指标得分部分抑制了 T2LV 与记忆之间的负相关。
综合、基于个体的指标允许复制，并规避传统（不可比）RSFC 变量的挑战，从而推进 MS 中记忆功能障碍的机制模型的发展。
