机构:[a]School of Biological Science and Medical Engineering, Beihang University, Beijing, China[b]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China[c]Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China[d]Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia[e]Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia[f]Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia[g]UBTech Sydney Artificial Intelligence Institute, FEIT, University of Sydney, Darlington, NSW, Australia[h]The School of Information Technologies, FEIT, University of Sydney, Darlington, NSW, Australia[i]Beijing TianTan Hospital, Capital Medical University, Beijing, China首都医科大学附属天坛医院[j]Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China
Sulcal morphology has been reported to change with age-related neurological diseases, but the trajectories of sulcal change in normal ageing in the elderly is still unclear. We conducted a study of sulcal morphological changes over seven years in 132 normal elderly participants aged 70-90 years at baseline, and who remained cognitively normal for the next seven years. We examined the fold opening and sulcal depth of sixteen ( eight on each hemisphere) prominent sulci based on T1-weighted MRI using automated methods with visual quality control. The trajectory of each individual sulcus with respect to age was examined separately by linear mixed models. Fold opening was best modelled by cubic fits in five sulci, by quadratic models in six sulci and by linear models in five sulci, indicating an accelerated widening of a number of sulci in older age. Sulcal depth showed significant linear decline in three sulci and quadratic trend in one sulcus. Turning points of non-linear trajectories towards accelerated widening of the fold were found to be around the age between 75 and 80, indicating an accelerated atrophy of brain cortex starting in the age of late 70s. Our findings of cortical sulcal changes in normal ageing could provide a reference for studies of neurocognitive disorders, including neurodegenerative diseases, in the elderly.
基金:
Natural Science Foundation of ChinaNational Natural Science Foundation of China [81401476]; 111 ProjectMinistry of Education, China - 111 Project [B13003]; National Key Research and Development Program of China [2016YFF0201002]; National Health and Medical Research Council (NHMRC) ProgramNational Health and Medical Research Council of Australia [350833, 56896, 109308]; Australian Research Council ProjectsAustralian Research Council [FL-170100117, DP-140102164, LP-150100671]
语种:
外文
被引次数:
WOS:
PubmedID:
中科院(CAS)分区:
出版当年[2017]版:
大类|2 区医学
小类|1 区神经成像1 区核医学2 区神经科学
最新[2023]版:
大类|2 区医学
小类|1 区神经成像2 区神经科学2 区核医学
JCR分区:
出版当年[2016]版:
Q1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ1NEUROSCIENCES
最新[2023]版:
Q1NEUROIMAGINGQ1NEUROSCIENCESQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
第一作者机构:[a]School of Biological Science and Medical Engineering, Beihang University, Beijing, China
通讯作者:
通讯机构:[a]School of Biological Science and Medical Engineering, Beihang University, Beijing, China[b]Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beijing, China[c]Beijing Advanced Innovation Center for Biomedical Engineering, Beijing, China[*1]School of Biological Science and Medical Engineering, International Research Institute for Multidisciplinary Science, Beihang University, IRC 300, Beihang University, Beijing 100191, China.
推荐引用方式(GB/T 7714):
Xinke Shen,Tao Liu,Dacheng Tao,et al.Variation in longitudinal trajectories of cortical sulci in normal elderly[J].NEUROIMAGE.2018,166:1-9.doi:10.1016/j.neuroimage.2017.10.010.
APA:
Xinke Shen,Tao Liu,Dacheng Tao,Yubo Fan,Jicong Zhang...&Wei Wen.(2018).Variation in longitudinal trajectories of cortical sulci in normal elderly.NEUROIMAGE,166,
MLA:
Xinke Shen,et al."Variation in longitudinal trajectories of cortical sulci in normal elderly".NEUROIMAGE 166.(2018):1-9