Since the first lesion studies of Broca and Wernicke scientists have been trying to relate function to specific cortical areas and to generate functional maps of the human cortex. Mapping approaches based on histology, morphology, or function (through task-based fMRI and PET), have been used to delineate sub-regions in the brain. This proposal presents a new approach for mapping cortical subunits through analysis of resting-state connectivity data. The over-arching goal is to develop and validate a method that uses resting-state fMRI connectivity data to delineate functional subunits within each cortical and subcortical region throughout the brain and to produce a whole-brain probabilistic atlas based on these functional subunits. These subunits then provide a starting point for network analysis leading ultimately to a human connectome.
The aims are to extend our working algorithm to include additional spatial constraints, and to validate the algorithm on data from healthy control subjects using 3 validation approaches.
The final aim i s to pilot this approach in intractable epilepsy patients to test the hypothesis that this approach allows for the identification of specific abnormal nodes or networks that may be associated with seizure generation. The immediate practical use of a map of the functional subunits throughout the brain will be to provide a framework for simplifying the analysis, interpretation, and reporting, of conventional task-based neuroimaging results aimed at determining the specific functions of these areas. The atlas generated will also provide a basis set from which a range of neurological disorders may be contrasted to reveal abnormal functional units and/or networks that may be affected by disease. This work could have substantial impact in translation clinical application of these methods and in understanding the impact on the functional organization of the brain of a range of neurological disorders such as Alzheimer's, Parkinson's, MS, and epilepsy, and on psychiatric disorders such as schizophrenia. Finally, this work will provide a methodology for assessing individual variance in organization of these functional subunits potentially leading to methods that will allow the impact of disease, genetics, and environment, to be studied without the constraints of task-based fMRI.
This project is aimed at developing a method to produce an atlas of the functional subunits in the human brain. This work could have substantial impact in understanding the impact on the functional organization of the brain of a range of neurological disorders such as Alzheimer's, Parkinson's, MS, and epilepsy and on psychiatric disorders such as schizophrenia. It also represents the first step in the path towards a human connectome.
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|Rosenberg, Monica D; Zhang, Sheng; Hsu, Wei-Ting et al. (2016) Methylphenidate Modulates Functional Network Connectivity to Enhance Attention. J Neurosci 36:9547-57|
|Scheinost, Dustin; Tokoglu, Fuyuze; Shen, Xilin et al. (2016) Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Trans Biomed Eng 63:2540-2549|
|Finn, Emily S; Shen, Xilin; Scheinost, Dustin et al. (2015) Functional connectome fingerprinting: identifying individuals using patterns of brain connectivity. Nat Neurosci 18:1664-71|
|Scheinost, Dustin; Shen, Xilin; Finn, Emily et al. (2014) Coupled Intrinsic Connectivity Distribution analysis: a method for exploratory connectivity analysis of paired FMRI data. PLoS One 9:e93544|
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|Finn, Emily S; Shen, Xilin; Holahan, John M et al. (2014) Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivity. Biol Psychiatry 76:397-404|
|Scheinost, Dustin; Papademetris, Xenophon; Constable, R Todd (2014) The impact of image smoothness on intrinsic functional connectivity and head motion confounds. Neuroimage 95:13-21|
|Mitchell, Marci R; Balodis, Iris M; Devito, Elise E et al. (2013) A preliminary investigation of Stroop-related intrinsic connectivity in cocaine dependence: associations with treatment outcomes. Am J Drug Alcohol Abuse 39:392-402|
|Scheinost, Dustin; Hampson, Michelle; Qiu, Maolin et al. (2013) A graphics processing unit accelerated motion correction algorithm and modular system for real-time fMRI. Neuroinformatics 11:291-300|
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