Link to the code: brain-emulation GitHub repository

Defining the Human Connectome: The Structural Description of the Human Brain


Before 2005, we studied brain regions and we studied neurons, but we lacked a unified framework for the network that links them. Olaf Sporns, Giulio Tononi, and Rolf Kötter changed that with their seminal paper: The Human Connectome: A Structural Description of the Human Brain. They coined the term “connectome” to serve as the neurobiological equivalent of the genome.

The Definition

The authors defined the connectome as:

“The comprehensive structural description of the network of elements and connections forming the human brain.”

Crucially, they argued that this matrix of connections is indispensable for understanding cognitive function. You cannot understand the traffic (cognition) if you do not have the map of the roads (connectome).

Scales of Organization

The paper proposed a multi-scale approach to mapping:

1. Macroscale (Brain Regions)

  • Resolution: Millimeters.
  • Elements: Distinct anatomical areas (e.g., V1, Thalamus) and long-range white matter tracts.
  • Method: Diffusion Tensor Imaging (DTI) and MRI. This was achievable in 2005 and is now routine.

2. Mesoscale (Minicolumns)

  • Resolution: Micrometers.
  • Elements: Cortical minicolumns, functional units of 80-100 neurons.
  • Method: Tracing studies, high-resolution optics. This remains the bridge between the global map and the local circuit.

3. Microscale (Neurons and Synapses)

  • Resolution: Nanometers.
  • Elements: Individual neurons, dendritic spines, and vesicles.
  • Method: Electron microscopy. The authors noted in 2005 that mapping the human brain at this level was “unrealistic and will remain infeasible at least in the near future.” They were right; 20 years later, we have done a fly (TRL 4) and a cubic millimeter of human tissue, but a whole human micro-connectome remains distant.

The “Connectome” as a Static vs. Dynamic Entity

Sporns et al. acknowledged a key challenge: the brain changes. Unlike the genome, which is relatively static, the connectome is plastic. It changes with learning and development. A “connectome” is therefore a snapshot in time.

Path Forward

This paper launched the Human Connectome Project (HCP). It shifted neuroscience from looking at isolated regions to looking at network topology—small-world networks, hubs, and rich clubs. For mind uploading, this paper established the goalposts: we need the structural map before we can simulate the function.

Official Sources

  • Sporns, O., Tononi, G., & Kötter, R. (2005). The human connectome: A structural description of the human brain. PLoS Computational Biology, 1(4), e42.
  • The Human Connectome Project