Preconfigured architecture of the developing mouse brain.

Area of Science:

• Neuroscience
• Developmental Biology
• Computational Neuroscience

Background:

• Adult brain parameters like synaptic size and neuronal firing rates exhibit right-skewed, heavy-tailed distributions.
• The developmental trajectory of these crucial brain organization principles remains largely uncharacterized.

Purpose of the Study:

• To investigate the developmental emergence of right-skewed and heavy-tailed distributions in neural parameters.
• To explore the functional architecture and organizational principles of the developing mouse brain.

Main Methods:

• Analysis of large-scale neural recordings from mouse prefrontal cortex and olfactory bulb (4-60 postnatal days).
• Investigation of firing rates, spike train interactions, and network architecture.
• Utilizing a neural network model to test the role of synaptic parameter distributions.

Main Results:

• Neuronal firing rates and spike train interactions maintain stable distribution shapes during the first 60 postnatal days.
• The prefrontal cortex demonstrates a functional small-world architecture early in development.
• Early brain activity reveals an oligarchical organization with high-firing neurons acting as hubs.

Conclusions:

• The developing brain exhibits extremely distributed functional and structural parameters from early postnatal stages.
• This distributed organization appears preconfigured rather than solely experience-dependent.
• Understanding these developmental principles is key to comprehending brain function and dysfunction.