[1] CAUNCA
M R,DE LEON-BENEDETTI A,LATOUR
L,et al. Neuroimaging of cerebral small vessel disease
and age-related cognitive changes[J/OL]. Front Aging Neurosci,2019,11(6):145[2024-03-09]. https://doi.org/10.3389/fnagi.2019.00145.
[2] YIN
X Z,ZHOU Y,YAN S Q,et al. Effects of cerebral blood flow and white matter integrity on
cognition in CADASIL patients[J/OL]. Front Psychiatry,2019,9(2):741[2024-03-09].
https://doi.org/10.3389/fpsyt.2018.00741.
[3] 吴小伟. 正常表观白质在评价SVCI发病机制及预测中的价值[D]. 上海:上海交通大学,2020.
WU
X W. Normal-appearing white matter in assessment of the pathogenesis and
prediction of SVCI[D]. Shanghai:Shanghai Jiao Tong
University,2020.
[4] QIU
Y G,YU L,GE X,et al. Loss of integrity of corpus callosum white matter
hyperintensity penumbra predicts cognitive decline in patients with subcortical
vascular mild cognitive impairment[J/OL]. Front Aging Neurosci,2021,13(2):605900[2024-03-09].
https://doi.org/10.3389/fnagi.2021.605900.
[5] WHEELER-KING
C A M,CERCIGNANI M. About “axial”and“radial”diffusivities[J].
Magn Reson Med,2009,61(5):1255-1260.
[6] HE
X Y,DOU W Q,SHI H. The
diagnostic value of the combined 3D pseudo-continuous arterial spin labeling
and diffusion kurtosis imaging in patients with Binswanger’s disease[J/OL].
Front Neurosci,2022,16(7):853422[2024-03-09].
https://doi.org/10.3389/fnins.2022.853422.
[7] 彭丹涛,邵文. 脑小血管病相关认知功能障碍中国诊疗指南(2019)[J]. 阿尔茨海默病及相关病,2019,2(3):403-407.
PENG
D T,SHAO W. Clinical practice guideline for cognitive
impairment of cerebral small vessel disease of China(2019)[J]. Chinese Journal of Alzheimer’s Disease and Related Disorders,2019,2(3):403-407.
[8] 田金洲,解恒革,秦斌,等. 适用于中国人群的血管性痴呆筛查和诊断框架[J]. 中华内科杂志,2019,58(1):10-16.
TIAN
J Z,XIE H G,QIN B,et al. Screening and diagnostic framework of vascular dementia in
Chinese population[J]. Chin J Intern Med,2019,58(1):10-16.
[9] WAHLUND
L O,BARKHOF F,FAZEKAS F,et al. A new rating scale for age-related white matter changes
applicable to MRI and CT[J]. Stroke,2001,32(6):1318-1322.
[10] da
SILVA P H R,de LEEUW F E,ZOTIN
M C Z,et al. Cortical thickness and brain connectivity
mediate the relation between white matter hyperintensity and information
processing speed in cerebral small vessel disease[J]. Brain topography,2023,36(4):613-630.
[11] WU
X W,GE X,DU J,et al. Characterizing the penumbras of white matter hyperintensities
and their associations with cognitive function in patients with subcortical
vascular mild cognitive impairment[J/OL]. Front Neurol,2019,10(4):348[2024-03-09].
https://doi.org/10.3389/fneur.2019.00348.
[12] ZHANG
C E,WONG S M,UITERWIJ K,et al. Intravoxel incoherent motion imaging in small vessel disease:microstructural integrity and microvascular perfusion related to
cognition[J/OL]. Stroke,2017,48(3):658-663.
[13] DOBRYNINA
L A,GADZHIEVA Z S,SHAMTIEVA K V,et al. Microstructural predictors of cognitive impairment in
cerebral small vessel disease and the conditions of their formation[J/OL].
Diagnostics(Basel),2020,10(9):720[2024-03-09].
https://doi.org/10.3390/diagnostics10090720.
[14] LAMPE
L,KHARABIAN-MASOULEH S,KYNAST J,et al. Lesion location matters:the
relationships between white matter hyperintensities on cognition in the healthy
elderly[J]. J Cereb Blood Flow Metab,2019,9(1):36-43.
[15] KIM K W,MACFALL J R,PAYNE M E,et al. Classification of white
matter lesions on magnetic resonance imaging in elderly persons[J]. Biol
Psychiatry,2008,64(4):273-280.
[16] WANG
X,WANG Y,GAO D Y,et al. Characterizing the penumbras of white matter hyperintensities
in patients with cerebral small vessel disease[J]. Jpn J Radiol,2023,41(9):928-937.
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