Age-specific brain funtional connectivity matrices for children and adolescents at school age

The transition from childhood to adolescence is marked by pronounced shifts in brain structure and function that coincide with the development of physical, cognitive, and social abilities. Leveraging 378 resting-state fMRI scans from 190 healthy individuals aged 6-17 years in Chinese ColorNest Project, we demonstrate that the transition from childhood to adolescence is reflected in the gradual maturation of gradient patterns across the cortical sheet. In children, the overarching organizational gradient is anchored within unimodal cortex, between somato/motor and visual territories. Conversely, in adolescence the principal gradient of connectivity transitions into an adult-like spatial framework, with the default network at the opposite end of a spectrum from primary sensory and motor regions. Here, we release the age-specific group-level functional connectivity (FC) matrices for deriving gradient maps. Vertex-level FC matrices (20484 × 20484, the FC was computed in Freesurfer fsaverage5 space with the first 10242 rows/columns are vertexes from left hemisphere while the last are from right hemisphere, details of data preprocessing can be found in the paper) were generated for each resting-scan per visit by calculating the Pearson correlation coefficient between any two pair of vertices along the cortical surface and then the corresponding Fisher-z transformed values were obtained with a hyperbolic tangent function. Then the two test-retest FC fisher-z matrices within one visit were averaged to increase signal-to-noise ratio and reliability for generating individual FCz matrix. Individual FCz matrixes were next averaged across individuals to form a group-level FCz matrix. Only the top 10% connections of each vertex were retained to keep consistent with previous studies, other elements in the matrix were set to 0 to enforce sparsity. The "brainmask_l/rh.nii.gz" files store the quality assessment results, vertexes with signal loss are labled as 0 while others are labled as 1.

儿童向青春期的过渡，伴随着大脑结构和功能的显著转变，这些转变与生理、认知和社会能力的发展相一致。借助来自中国 ColorNest 项目中190名6至17岁健康个体的378次静息态fMRI扫描数据，本研究揭示了儿童向青春期的过渡体现在皮质层梯度模式的逐渐成熟。在儿童阶段，整体组织梯度根植于单模态皮层，介于躯体/运动和视觉区域之间。相反，在青春期，连接梯度的主要部分过渡到一个成人般的空间框架，其中默认网络位于初级感官和运动区域光谱的另一端。在此，我们发布了特定年龄段的组级功能连接（FC）矩阵，以推导梯度图。每个访问期间的静息扫描均生成了顶点级FC矩阵（20484 × 20484，该FC是在Freesurfer fsaverage5空间中计算的，前10242行/列来自左侧大脑半球，其余来自右侧大脑半球，数据预处理的详细信息见论文）。通过计算皮质表面任意两个顶点对之间的皮尔逊相关系数，然后利用双曲正切函数获得相应的费舍尔-z转换值，从而生成了每个访问期间的两次测试-重测FC费舍尔-z矩阵，以增加信号与噪声比和可靠性，进而生成个体的FCz矩阵。随后，将个体FCz矩阵平均以形成组级FCz矩阵。仅保留每个顶点的最高10%连接，以保持与先前研究的连贯性，矩阵中的其他元素均设为0，以强制稀疏性。'brainmask_l/rh.nii.gz'文件存储了质量评估结果，信号丢失的顶点被标记为0，其余则标记为1。