The Laboratory of Neuro Imaging Resource (LONIR) will create and apply innovative solutions for the investigation of imaging, genetics, behavioral and clinical data. The methods that we produce enable population-based analysis in numerous healthy and disease cohorts. We build upon our considerable prior progress in this competitive renewal proposal to focus our LONIR Technology Research and Development (TR&D) projects on three specific areas. TR&D 1 (Image Understanding) focuses on methodological developments for the analysis of brain imagery including robust image segmentation and registration, quality assurance and evaluation of image processing results, and processing of structural and diffusion brain data. TR&D 2 (Connectomics) will advance the study of brain connectivity using diffusion imaging and its powerful extensions. This project will go beyond tensor models of diffusion for assessing fiber integrity and connectivity, develop tract-based statistical analysis tools, introduce novel connectivity mapping approaches, and provide mechanisms for studying the genetics of brain connectivity. TR&D 3 (Data Interpretation) will utilize the imaging feature information extracted using tools from TR&D 1 and 2 and enable the interpretation of the resulting data, to address relevant biologically questions by providing tools for the selection of appropriate statistical models and the visual examination and interpretation of results. These research activities are tightly coupled and address the needs and requirements that have been presented to us by our Driving Biological Projects and Service Collaborators. These projects form a well-integrated program for the characterization, measurement, modeling, analysis, interpretation, and understanding of multifaceted patterns of structural and functional brain data. LONIR will facilitate studies of dynamically changing anatomical frameworks, e.g., developmental, neurodegenerative, traumatic, metastatic, by providing tools for comprehensive understanding of the nature and extent of these processes. These research efforts are supported by integrated Infrastructure, Dissemination, Training and Dissemination cores.
The Laboratory of Neuro Imaging Resource (LONIR) develops, validates and disseminates powerful and user-friendly tools and biomedical analysis protocols for studies of various neurological disorders, e.g., HIV, complex behavior, Alzheimer's disease, and child development. All LONIR data, analysis protocols, computational resources and research findings are openly shared online, enhancing research efforts of a wide community. The research efforts of LONIR investigators and collaborators are centered on the fundamental recognition that the brain is dynamic. LONIR facilitates studies of dynamically changing anatomical frameworks, e.g., developmental, neurodegenerative, traumatic, and metastatic, by providing tools for comprehensive understanding of the nature and extent of these processes.
|Torgerson, Carinna M; Irimia, Andrei; Goh, S Y Matthew et al. (2015) The DTI connectivity of the human claustrum. Hum Brain Mapp 36:827-38|
|Ramanan, V K; Nho, K; Shen, L et al. (2015) FASTKD2 is associated with memory and hippocampal structure in older adults. Mol Psychiatry 20:1197-204|
|Roussotte, Florence F; Jahanshad, Neda; Hibar, Derrek P et al. (2015) Altered regional brain volumes in elderly carriers of a risk variant for drug abuse in the dopamine D2 receptor gene (DRD2). Brain Imaging Behav 9:213-22|
|Frisoni, Giovanni B; Jack Jr, Clifford R; Bocchetta, Martina et al. (2015) The EADC-ADNI Harmonized Protocol for manual hippocampal segmentation on magnetic resonance: evidence of validity. Alzheimers Dement 11:111-25|
|Irimia, Andrei; Torgerson, Carinna M; Goh, S-Y Matthew et al. (2015) Statistical estimation of physiological brain age as a descriptor of senescence rate during adulthood. Brain Imaging Behav 9:678-89|
|Babiloni, Claudio; Del Percio, Claudio; Boccardi, Marina et al. (2015) Occipital sources of resting-state alpha rhythms are related to local gray matter density in subjects with amnesic mild cognitive impairment and Alzheimer's disease. Neurobiol Aging 36:556-70|
|Desrivières, S; Lourdusamy, A; Tao, C et al. (2015) Single nucleotide polymorphism in the neuroplastin locus associates with cortical thickness and intellectual ability in adolescents. Mol Psychiatry 20:263-74|
|Amunts, K; Hawrylycz, M J; Van Essen, D C et al. (2014) Interoperable atlases of the human brain. Neuroimage 99:525-32|
|Van Horn, John Darrell (2014) Neuroimaging and genetics in aging and age-related disease. Brain Imaging Behav 8:141-2|
|Shi, Jie; Leporé, Natasha; Gutman, Boris A et al. (2014) Genetic influence of apolipoprotein E4 genotype on hippocampal morphometry: An N = 725 surface-based Alzheimer's disease neuroimaging initiative study. Hum Brain Mapp 35:3903-18|
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