The effect of IDH1 mutation on the structural connectome in malignant astrocytoma

被引:58
作者
Kesler, Shelli R. [1 ]
Noll, Kyle [1 ]
Cahill, Daniel P. [2 ]
Rao, Ganesh [3 ]
Wefel, Jeffrey S. [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Neurooncol, 1515 Holcombe Blvd,Unit 431, Houston, TX 77030 USA
[2] Massachusetts Gen Hosp, Dept Neurosurg, Harvard Neurosurg Serv, Boston, MA 02114 USA
[3] Univ Texas MD Anderson Canc Ctr, Dept Neurosurg, Houston, TX 77030 USA
基金
美国国家卫生研究院;
关键词
IDH1; Astrocytoma; Connectome; Cognition; MRI; DEFAULT MODE NETWORK; COGNITIVE RESERVE; NORMATIVE DATA; BRAIN; GLIOMAS; AGE; CONNECTIVITY; ORGANIZATION; COVARIANCE; SURVIVAL;
D O I
10.1007/s11060-016-2328-1
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Mutation of the IDH1 gene is associated with differences in malignant astrocytoma growth characteristics that impact phenotypic severity, including cognitive impairment. We previously demonstrated greater cognitive impairment in patients with IDH1 wild type tumor compared to those with IDH1 mutant, and therefore we hypothesized that brain network organization would be lower in patients with wild type tumors. Volumetric, T1-weighted MRI scans were obtained retrospectively from 35 patients with IDH1 mutant and 32 patients with wild type malignant astrocytoma (mean age = 45 +/- 14 years) and used to extract individual level, gray matter connectomes. Graph theoretical analysis was then applied to measure efficiency and other connectome properties for each patient. Cognitive performance was categorized as impaired or not and random forest classification was used to explore factors associated with cognitive impairment. Patients with wild type tumor demonstrated significantly lower network efficiency in several medial frontal, posterior parietal and subcortical regions (p < 0.05, corrected for multiple comparisons). Patients with wild type tumor also demonstrated significantly higher incidence of cognitive impairment (p = 0.03). Random forest analysis indicated that network efficiency was inversely, though nonlinearly associated with cognitive impairment in both groups (p < 0.0001). Cognitive reserve appeared to mediate this relationship in patients with mutant tumor suggesting greater neuroplasticity and/or benefit from neuroprotective factors. Tumor volume was the greatest contributor to cognitive impairment in patients with wild type tumor, supporting our hypothesis that greater lesion momentum between grades may cause more disconnection of core neurocircuitry and consequently lower efficiency of information processing.
引用
收藏
页码:565 / 574
页数:10
相关论文
共 71 条
  • [1] A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs
    Achard, S
    Salvador, R
    Whitcher, B
    Suckling, J
    Bullmore, ET
    [J]. JOURNAL OF NEUROSCIENCE, 2006, 26 (01) : 63 - 72
  • [2] Efficiency and cost of economical brain functional networks
    Achard, Sophie
    Bullmore, Edward T.
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2007, 3 (02) : 174 - 183
  • [3] Longitudinal Assessment of Cognitive Changes Associated With Adjuvant Treatment for Breast Cancer: Impact of Age and Cognitive Reserve
    Ahles, Tim A.
    Saykin, Andrew J.
    McDonald, Brenna C.
    Li, Yuelin
    Furstenberg, Charlotte T.
    Hanscom, Brett S.
    Mulrooney, Tamsin J.
    Schwartz, Gary N.
    Kaufman, Peter A.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2010, 28 (29) : 4434 - 4440
  • [4] Imaging structural co-variance between human brain regions
    Alexander-Bloch, Aaron
    Giedd, Jay N.
    Bullmore, Edward T.
    [J]. NATURE REVIEWS NEUROSCIENCE, 2013, 14 (05) : 322 - 336
  • [5] Modeling the Impact of Lesions in the Human Brain
    Alstott, Jeffrey
    Breakspear, Michael
    Hagmann, Patric
    Cammoun, Leila
    Sporns, Olaf
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (06)
  • [6] NEUROPSYCHOLOGICAL IMPAIRMENTS ASSOCIATED WITH LESIONS CAUSED BY TUMOR OR STROKE
    ANDERSON, SW
    DAMASIO, H
    TRANEL, D
    [J]. ARCHIVES OF NEUROLOGY, 1990, 47 (04) : 397 - 405
  • [7] A fast diffeomorphic image registration algorithm
    Ashburner, John
    [J]. NEUROIMAGE, 2007, 38 (01) : 95 - 113
  • [8] Computational anatomy with the SPM software
    Ashburner, John
    [J]. MAGNETIC RESONANCE IMAGING, 2009, 27 (08) : 1163 - 1174
  • [9] Invasion and proliferation kinetics in enhancing gliomas predict IDH1 mutation status
    Baldock, Anne L.
    Yagle, Kevin
    Born, Donald E.
    Ahn, Sunyoung
    Trister, Andrew D.
    Neal, Maxwell
    Johnston, Sandra K.
    Bridge, Carly A.
    Basanta, David
    Scott, Jacob
    Malone, Hani
    Sonabend, Adam M.
    Canoll, Peter
    Mrugala, Maciej M.
    Rockhill, Jason K.
    Rockne, Russell C.
    Swanson, Kristin R.
    [J]. NEURO-ONCOLOGY, 2014, 16 (06) : 779 - 786
  • [10] Small-world brain networks
    Bassett, Danielle Smith
    Bullmore, Edward T.
    [J]. NEUROSCIENTIST, 2006, 12 (06) : 512 - 523