Age differences in the functional architecture of the human brain.
Age differences in the functional architecture of the human brain.
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人脑功能结构的年龄差异。
DOI：
10.1093/cercor/bhac056
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Misic,Bratis
中科院分区：
文献类型：
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作者：
Setton,Roni;Mwilambwe-Tshilobo,Laetitia;Girn,Manesh;Lockrow,AmberW;Baracchini,Giulia;Hughes,Colleen;Lowe,AlexanderJ;Cassidy,BenjaminN;Li,Jian;Luh,Wen-Ming;Bzdok,Danilo;Leahy,RichardM;Ge,Tian;Margulies,DanielS;Misic,Bratis
大脑的内在功能组织在进入老年后发生变化。在多个空间尺度上观察到年龄差异，从分布式大脑系统的模块化和隔离的全球减少到去分化的网络特定模式。去分化是否反映了大脑功能随年龄的不可避免的全球性变化，有限的，经验依赖的变化，或两者兼而有之，是不确定的。我们采用了多方法的策略，询问去分化在多个空间尺度。在年轻（n= 181）和老年（n= 120）健康成人中收集多回波（ME）静息状态fMRI。对个体变化敏感的皮质包裹实现了每个参与者的精确功能映射，同时保留组级包裹和网络标签。ME-fMRI处理和梯度映射确定了全球和宏观网络的差异。多变量功能连接方法测试的微观，边缘水平的差异。老年人的BOLD信号维度较低，与全球网络去分化一致。大部分患者年龄不变。边缘水平的分析显示离散的，网络特定的去分化模式在老年人。视觉和躯体感觉区域在功能连接体中的整合程度更高;默认和额顶叶控制网络区域的连接程度更高;背侧注意网络与异模态区域的整合程度更高。这些发现突出了多尺度，多方法的方法来表征功能性脑老化的架构的重要性。
The intrinsic functional organization of the brain changes into older adulthood. Age differences are observed at multiple spatial scales, from global reductions in modularity and segregation of distributed brain systems, to network-specific patterns of dedifferentiation. Whether dedifferentiation reflects an inevitable, global shift in brain function with age, circumscribed, experience-dependent changes, or both, is uncertain. We employed a multimethod strategy to interrogate dedifferentiation at multiple spatial scales. Multi-echo (ME) resting-state fMRI was collected in younger (n= 181) and older (n= 120) healthy adults. Cortical parcellation sensitive to individual variation was implemented for precision functional mapping of each participant while preserving group-level parcel and network labels. ME-fMRI processing and gradient mapping identified global and macroscale network differences. Multivariate functional connectivity methods tested for microscale, edge-level differences. Older adults had lower BOLD signal dimensionality, consistent with global network dedifferentiation. Gradients were largely age-invariant. Edge-level analyses revealed discrete, network-specific dedifferentiation patterns in older adults. Visual and somatosensory regions were more integrated within the functional connectome; default and frontoparietal control network regions showed greater connectivity; and the dorsal attention network was more integrated with heteromodal regions. These findings highlight the importance of multiscale, multimethod approaches to characterize the architecture of functional brain aging.