脑区图¶

脑区图是一种用于在大脑皮层表面可视化数值数据的图表。它能够将不同脑区的数值映射到大脑皮层的相应区域，并以颜色编码的方式展示这些数值的分布情况。这种图表常用于展示神经科学研究中的各种脑区指标，如BOLD信号强度、髓鞘化程度、体积或厚度或其他数值化的大脑特征。

plot_brain_surface_figure 函数基于 surfplot 库开发，提供了一个统一且简化的接口来绘制人脑、猕猴脑和黑猩猩脑的脑区图。目前支持多种脑图谱包括：

人 Glasser (HCP-MMP) 图集¹。图集 CSV 文件。
人 BNA 图集²。图集 CSV 文件。
黑猩猩 BNA 图集³。图集 CSV 文件。
猕猴 CHARM 5-level ⁴。图集 CSV 文件。
猕猴 CHARM 6-level ⁴。图集 CSV 文件。
猕猴 BNA 图集⁵。图集 CSV 文件。
猕猴 D99 图集⁶。图集 CSV 文件。

全脑¶

快速出图¶

Info

画图前请确保脑区名字正确。

from plotfig import *

data = {"lh_V1": 1, "rh_MT": 1.5}

ax = plot_brain_surface_figure(data, species="human", atlas="glasser")

png

import matplotlib.pyplot as plt
from plotfig import *

macaque_data = {"lh_V1": 1}
chimpanzee_data = {"lh_MVOcC.rv": 1}

fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(10, 5))

ax1 = plot_brain_surface_figure(
    chimpanzee_data, species="chimpanzee", atlas="bna", ax=ax1, title_name="Chimpanzee"
)
ax2 = plot_brain_surface_figure(
    macaque_data, species="macaque", atlas="charm5", ax=ax2, title_name="Macaque"
)

png

参数设置¶

全部参数见 plot_brain_surface_figure 的 API 文档。

from plotfig import *

data = {"lh_V1": 1, "rh_MT": 1.5, "rh_V1": -1}

ax = plot_brain_surface_figure(
    data,
    species="human",
    atlas="glasser",
    surf="inflated",
    cmap="bwr",
    vmin=-1,
    vmax=1,
    colorbar=True,
    colorbar_label_name="AAA"
)

png

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