학술논문

Brain imaging and the difficulties of understanding cognitive development
Document Type
Conference
Source
2023 International Conference on Emerging Research in Computational Science (ICERCS) Emerging Research in Computational Science (ICERCS), 2023 International Conference on. :1-6 Dec, 2023
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Neuroimaging
Tensors
Sensitivity
Cognitive neuroscience
Psychology
Robustness
Resilience
Brain Imaging
Cognitive Development
Functional
Magnetic Resonance Tensor
Imaging
Language
Abstract
Adolescent Brain Cognitive Development (ABCD) has been studied in ways never before possible because to breakthroughs in brain imaging technology. Indirectly, the accuracy and interpretability of findings affect our understanding of neurodevelopmental processes, highlighting the crucial necessity of dependable techniques. There are a wide variety of obstacles to overcome in this field, from the intricacies of researching developing brains to the subtle interplay of different cognitive processes. Overcoming these problems demands creative approaches and enhanced procedures that can capture the changing character of cognitive growth. The goal of this framework is to improve the accuracy and sensitivity of cognitive neuroscience studies, leading to a deeper comprehension of the complex mechanisms at play during brain development. In this study, there is a method called functional magnetic resonance-based tensor imaging (FMR-TI) that combines the strengths of both methods to provide more precise mapping of cognitive growth throughout time. As a bonus, the suggested method uses simulation analyses to verify its efficiency and resilience in capturing the nuances of cognitive development, making the results of the study more trustworthy. The proposed methodology can be used to a wide range of fields, such as educational neuroscience, clinical psychology, and developmental neuroscience. Understanding cognitive growth better has far-reaching effects on educational programs, diagnostic methods, and treatment plans. Moreover, this methodological improvement holds promise for unraveling the neurological foundations of neurodevelopmental diseases, helping to the development of focused therapies and tailored treatment strategies. The robustness of the processing, the flexibility of the paradigm, and the validity of the simulation are all taken into account during the investigation.