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Abstract Type 2 diabetes (T2D) is associated with cognitive decline and neurodegenerative disorders. Changes in the connections between brain regions responsible for emotions and memory might play a role in the reduced cognitive function observed in individuals with diabetes. Utilizing machine learning approaches on neuroimaging data shows potential for exploring these intricate associations.
A pesar del énfasis en los fenotipos de disfunción sensorial en los criterios de diagnóstico revisados para el trastorno del espectro autista (TEA), ha habido investigaciones limitadas, particularmente en el campo de la neurobiología, que investiguen la concordancia en las características sensoriales entre individuos con TEA y sus parientes genéticos.
DATA AVAILABILITY STATEMENT The data used in the current study are available from the corresponding authors upon reasonable request. ETHICS STATEMENT Ethical approval was obtained from the Institutional Review Board of the Chinese University of Hong Kong, Shenzhen (No. EF20201228001).
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