Este trabalhou demonstrou o grande potencial da utilização de teoria de grafos na análise de redes de conectividade e que o casamento entre estas disciplinas será certamente um ponto central na compreensão do cérebro humano. Contudo foi também possível perceber que ainda existem muitas lacunas de conhecimento a preencher e muitos dos assuntos aqui abordados estão ainda em fases embrionária.
O comportamento observado das métricas utilizadas na caracterização e comparação sugere a necessidade de estudar mais aprofundadamente a forma como estas variam com as dimensões da rede. Em particular a influência do números de vértices utilizados parece ter uma maior influência nas métricas utilizadas para caracterizar a arquitetura da rede. A caracterização desta influência é essencial para a interpretação das redes.
Uma dificuldade notória encontrada ao longo do trabalho é a falta de ferramentas dedicadas á construção de redes de conectividade cerebral. Enquanto existem diversas ferramentas dedicadas ao pré-processamento das imagens, vários conceitos para a construção das redes e diferentes formas para as caracterizar, não existe ainda muito trabalho feita na ligação entre estas áreas, e o que está feito é normalmente algo restritivo. Assim, um passo essencial para o sucesso dos estudos de conectividade funcional, passa pela integração dos diferentes
passos e ferramentas numa aplicação fácil de utilizar e que não restrinja, tanto quanto possível, os tipos de estudos que podem ser realizados.
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