Brain network communication: concepts, models and applications.
Nat Rev Neurosci
; 24(9): 557-574, 2023 09.
Article
en En
| MEDLINE
| ID: mdl-37438433
ABSTRACT
Understanding communication and information processing in nervous systems is a central goal of neuroscience. Over the past two decades, advances in connectomics and network neuroscience have opened new avenues for investigating polysynaptic communication in complex brain networks. Recent work has brought into question the mainstay assumption that connectome signalling occurs exclusively via shortest paths, resulting in a sprawling constellation of alternative network communication models. This Review surveys the latest developments in models of brain network communication. We begin by drawing a conceptual link between the mathematics of graph theory and biological aspects of neural signalling such as transmission delays and metabolic cost. We organize key network communication models and measures into a taxonomy, aimed at helping researchers navigate the growing number of concepts and methods in the literature. The taxonomy highlights the pros, cons and interpretations of different conceptualizations of connectome signalling. We showcase the utility of network communication models as a flexible, interpretable and tractable framework to study brain function by reviewing prominent applications in basic, cognitive and clinical neurosciences. Finally, we provide recommendations to guide the future development, application and validation of network communication models.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Encéfalo
/
Comunicación Celular
Tipo de estudio:
Guideline
/
Qualitative_research
Límite:
Humans
Idioma:
En
Revista:
Nat Rev Neurosci
Asunto de la revista:
NEUROLOGIA
Año:
2023
Tipo del documento:
Article
País de afiliación:
Australia