Banca de QUALIFICAÇÃO: RODRIGO DA MOTTA CABRAL DE CARVALHO

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : RODRIGO DA MOTTA CABRAL DE CARVALHO
DATE: 10/07/2024
TIME: 11:00
LOCAL: REMOTO NO LINK https://meet.google.com/zpc-fbpj-pxh
TITLE:

A Graph Neural Network Approach to Investigate Critical States Over Neurodevelopment

PAGES: 50
BIG AREA: Ciências da Saúde
AREA: Medicina
SUMMARY:

One of the biggest challenges in neuroscience is comprehending brain function mechanisms on different temporal and spatial scales due to its fundamentally complex dynamics and organization. In particular, the topic of neurophysiology during the resting state at the macroscopic level is of great interest, not only in contribution to neurodevelopment and psychiatry but also to emergent patterns that microscopic components cannot explain. Recent studies show that brain dynamics at rest may be modelled by lattice models near criticality, such as the 2D Ising Model. The Ising temperature, which is the control parameter dictating the phase transitions of the model, can provide insight into the overall dynamics and is being used to better understand different brain states. This work examines how critical states relate to the formation and evolution of functional networks during development. This period is heavily categorized by intricated changes in the microcircuits across the brain, especially in the cerebral cortex, to optimize and create more cohesive networks. These changes influence the macroscopic brain dynamics and also its functional relations, which can be observed in functional Magnetic Resonance Imaging (fMRI). Therefore, novel methods can be addressed to enrich our understanding of neurodevelopment and brain dynamics, thus this work investigates neurodevelopment through a novel method to estimate the Ising Temperature of the brain from fMRI data using functional connectivity and Graph Neural Networks (GNNs) trained with Ising Model networks. The main finding indicates a statistically significant negative correlation between age and temperature, suggesting that the brain gets distant from criticality as age increases and the brain matures. These results agree with neurodevelopment literature and support the idea of more cohesive and optimized networks after this period. 

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 2139904 - CLAUDINEI EDUARDO BIAZOLI JUNIOR
Membro Titular - Examinador(a) Externo à Instituição - ROBERT LEECH
Membro Titular - Examinador(a) Externo à Instituição - GUSTAVO DECO
Membro Suplente - Examinador(a) Interno ao Programa - 1676329 - RAPHAEL YOKOINGAWA DE CAMARGO
Membro Suplente - Examinador(a) Interno ao Programa - 3041881 - BORIS MARIN