From caenorhabditis elegans to the human connectome: A specific modular organization increases metabolic, functional and developmental efficiency

Philosophical Transactions of the Royal Society B: Biological Sciences

Volumn 369, Issue 1653, 2014, Pages

  Kim, Jinseop S ^a,b   Kaiser, Marcus ^b,c,d  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b Seoul National University   (South Korea)

^c NEWCASTLE UNIVERSITY   (United Kingdom)

^d NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Brain development; Brain evolution; Connectome; Efficiency; Modularity; Network analysis

Indexed keywords

BRAIN; CONNECTIVITY; DEVELOPMENTAL STABILITY; IMAGING METHOD; INFORMATION PROCESSING; MEDICAL GEOGRAPHY; METABOLISM; NEMATODE; NETWORK ANALYSIS; NEUROLOGY;

ALGORITHM; ANATOMY AND HISTOLOGY; ANIMAL; BIOLOGICAL MODEL; BRAIN; CAENORHABDITIS ELEGANS; CONNECTOME; DIFFUSION WEIGHTED IMAGING; HUMAN; PHYSIOLOGY; PROCEDURES; SPECIES DIFFERENCE;

ALGORITHMS; ANIMALS; BRAIN; CAENORHABDITIS ELEGANS; CONNECTOME; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; MODELS, NEUROLOGICAL; SPECIES SPECIFICITY;

EID: 84929512764     PISSN: 09628436     EISSN: 14712970     Source Type: Journal    
DOI: 10.1098/rstb.2013.0529     Document Type: Article

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