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Third-Generation Neuroimaging: Translating Research into Clinical Utility
Psychiatric imaging needs to move away from simple investigations of the neurobiology underling the early phases of psychiatric diseases to translate imaging findings in the clinical field targeting clinical outcomes including transition, remission and response to preventative interventions. This research topic aims to bring psychiatric neuroimaging studies towards translational impacts in clinical practice, suggesting that brain abnormalities may be of potential use for detecting clinical outcomes as treatment response. First-generation psychiatric neuroimaging focused on simple structural brain alterations associated with the neurobiology of the illness. These early studies adopted imaging...
Collaborative Efforts for Understanding the Human Brain
The human brain is incredibly complex, and the more we learn about it, the more we realize how much we need a truly interdisciplinary team to make sense of its intricacies. This eBook presents the latest efforts in collaborative team science from around the world, all aimed at understanding the human brain.
The Alzheimer's Disease Challenge
Alzheimer’s disease is undoubtedly the major health challenge of our Century with significant social and economic consequences. This Frontiers eBook offers a contribution of 39 innovative papers on the multidimensional and crucial problem of Alzheimer’s disease management and treatment. Several perspectives, research updates, and trials describing methods on potential diagnosis and treatment are presented including biological mechanisms, biomarkers and risk factors for an early and efficient prognosis, diagnosis and prevention. Additionally, while the rapidly increasing Alzheimer’s disease population demands holistic solutions and clinical studies with new therapeutic target approaches, several of the contributive papers present promising drugs targeting Alzheimer’s disease treatment. We give our deepest acknowledgment to all the authors for their important and innovative contributions, to the reviewers for their valuable recommendations on improving the submitting studies and all the Frontiers Editorial team for continuous support.
Intra- and Inter-individual Variability of Executive Functions: Determinant and Modulating Factors in Healthy and Pathological Conditions
This eBook attempts to unify the contributions of different research groups investigating the sources of variability in executive functions, discussing the most recent developments and integrating the knowledge accumulated across different fields. It consists of a compilation of empirical, theoretical and review articles studying executive functions in both clinical and healthy human populations. Some of the key influences on intra- and inter-variability in executive functions discussed include the developmental trajectory of executive functions, healthy and pathological aging in executive functions, as well as the influence of environmental factors and intelligence on executive functions.
Handbook of Depression in Alzheimer’s Disease
Advances in healthcare have led to an extended life expectancy throughout the developed world, but cognitive impairment in later life, and Alzheimer's disease (AD) in particular, remains one of the intractable problems which can blight quality of life as we age. Depression in Alzheimer's disease is an additional factor which has a significant impact on disability, disease progression, and caregiver burden. This book, volume 4 of the Advances in Alzheimer’s Disease book series which is published in coordination with the Journal of Alzheimer’s Disease, presents papers which reflect the progress in recent years of research into depression in AD. This research has focused on several areas, i...
Machine Learning in Clinical Neuroimaging
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2022, held in Conjunction with MICCAI 2022, Singapore in September 2022. The book includes 17 papers which were carefully reviewed and selected from 23 full-length submissions. The 5th international workshop on Machine Learning in Clinical Neuroimaging (MLCN2022) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings: Morphometry; Diagnostics, and Aging, and Neurodegeneration.
Levodopa-induced Dyskinesias in Parkinson’s Disease: Current Knowledge and Future Scenarios
This topic aims to pool the most recent advances in the phenomenology and pathophysiology of levodopa-induced dyskinesias. The papers in this eBook have strongly contributed to reduce the gaps in our knowledge of LIDs pathogenesis.
