Brain fMRI Activation Map

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(789)

# Brain region activation points
n_points = 200

# Generate points within brain-shaped volume
theta = np.random.uniform(0, 2*np.pi, n_points)
phi = np.random.uniform(0, np.pi, n_points)
r = np.random.uniform(0.3, 1, n_points)

# Ellipsoid brain shape
x = r * 0.8 * np.sin(phi) * np.cos(theta)
y = r * 1.0 * np.sin(phi) * np.sin(theta)
z = r * 0.7 * np.cos(phi)

# Activation level (some regions more active)
activation = np.exp(-3 * ((x-0.3)**2 + (y-0.2)**2 + z**2))  # Visual cortex
activation += 0.5 * np.exp(-3 * ((x+0.3)**2 + y**2 + (z-0.3)**2))  # Motor
activation += np.random.exponential(0.1, n_points)
activation = activation / activation.max()

fig = plt.figure(figsize=(10, 8), facecolor='#0a0a0f')
ax = fig.add_subplot(111, projection='3d', facecolor='#0a0a0f')

scatter = ax.scatter(x, y, z, c=activation, cmap='hot', s=activation*100+20, 
                     alpha=0.7, edgecolors='none')

ax.set_xlabel('X (L-R)', color='white', fontsize=10)
ax.set_ylabel('Y (P-A)', color='white', fontsize=10)
ax.set_zlabel('Z (I-S)', color='white', fontsize=10)
ax.set_title('Brain fMRI Activation Map', color='white', fontsize=14, fontweight='bold', pad=20)

ax.tick_params(colors='#64748b', labelsize=8)
ax.xaxis.pane.fill = False
ax.yaxis.pane.fill = False
ax.zaxis.pane.fill = False
ax.xaxis.pane.set_edgecolor('#1e293b')
ax.yaxis.pane.set_edgecolor('#1e293b')
ax.zaxis.pane.set_edgecolor('#1e293b')

ax.view_init(elev=10, azim=60)
plt.tight_layout()
plt.show()