Cover image supplied by Eve LoCastro, Amy Kuceyeski and Ashish Raj at the Department of Radiology, Weill Cornell Medical College, New York, NY, USA. The structural connectivity network of the brain is depicted as a connected graph, where each node represents a brain region (colour-coded to indicate lobe classification) and the strength of the connections between them are represented by pipes of varying thickness. The distillation of the brain’s complexity into a simple graph opens an exciting new avenue for studying brain structure and function.

Cover image supplied by Eve LoCastro, Amy Kuceyeski and Ashish Raj at the Department of Radiology, Weill Cornell Medical College, New York, NY, USA. The structural connectivity network of the brain is depicted as a connected graph, where each node represents a brain region (colour-coded to indicate lobe classification) and the strength of the connections between them are represented by pipes of varying thickness. The distillation of the brains complexity into a simple graph opens an exciting new avenue for studying brain structure and function.

Cover image supplied by Eve LoCastro, Amy Kuceyeski and Ashish Raj at the Department of Radiology, Weill Cornell Medical College, New York, NY, USA. The structural connectivity network of the brain is depicted as a connected graph, where each node represents a brain region (colour-coded to indicate lobe classification) and the strength of the connections between them are represented by pipes of varying thickness. The distillation of the brains complexity into a simple graph opens an exciting new avenue for studying brain structure and function.

Cover image supplied by Eve LoCastro, Amy Kuceyeski and Ashish Raj at the Department of Radiology, Weill Cornell Medical College, New York, NY, USA. The structural connectivity network of the brain is depicted as a connected graph, where each node represents a brain region (colour-coded to indicate lobe classification) and the strength of the connections between them are represented by pipes of varying thickness. The distillation of the brain’s complexity into a simple graph opens an exciting new avenue for studying brain structure and function.