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Disrupted Topologic Efficiency of White Matter Structural Connectome in Individuals with Subjective Cognitive Decline
Ni Shu1, Xiaoni Wang1, Qiuhui Bi1
1From the State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research (N.S., Q.B., T.Z.), Center for Collaboration and Innovation in Brain and Learning Sciences (N.S., Q.B., T.Z.), and Beijing Key Laboratory of Brain Imaging and Connectomics (N.S., Q.B., T.Z.), Beijing Normal University, Beijing, P. R. China; Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing 100053, P. R. China (X.W., Y.H.); Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, P. R. China (X.W., Y.H.); National Clinical Research Center for Geriatric Disorders, Beijing, P. R. China (Y.H.); and PKU Care Rehabilitation Hospital, Beijing, P. R. China (Y.H.).
Abstract:
Purpose To determine whether individuals with subjective cognitive decline (SCD), which is defined by memory complaints with normal performance at objective neuropsychologic examinations, exhibit disruptions of white matter (WM) connectivity and topologic alterations of the brain structural connectome. Materials and Methods Diffusion-tensor magnetic resonance imaging and graph theory approaches were used to investigate the topologic organization of the brain structural connectome in 36 participants with SCD (21 women: mean age, 62.0 years ± 8.6 [standard deviation]; age range, 42-76 years; 15 men: mean age, 65.5 years ± 8.9; age range, 51-80 years) and 51 age-, sex-, and years of education-matched healthy control participants (33 women: mean age, 63.7 years ± 8.8; age range, 46-83 years; 18 men: mean age, 59.4 years ± 9.3; age range, 43-75 years). Individual WM networks were constructed for each participant, and the network properties between two groups were compared with a linear regression model. Results Graph theory analyses revealed that the participants with SCD had less global efficiency (P = .001) and local efficiency (P = .008) compared with the healthy control participants. Lower regional efficiency was mainly distributed in the bilateral prefrontal regions and left thalamus (P < .05, corrected). Furthermore, a disrupted subnetwork was observed that consisted of widespread anatomic connections (P < .05, corrected), which has the potential to discriminate individuals with SCD from control participants. Moreover, similar hub distributions and less connection strength between the hub regions (P = .023) were found in SCD. Importantly, diminished strength of the rich-club and local connections was correlated with the impaired memory performance in patients with SCD (rich-club connection: r = 0.43, P = .011; local connection: r = 0.36, P = .037). Conclusion This study demonstrated disrupted topologic efficiency of the brain's structural connectome in participants with SCD and provided potential connectome-based biomarkers for the early detection of cognitive impairment in elderly individuals. © RSNA, 2017 Online supplemental material is available for this article.
