The correspondence problem: which brain maps are significantly similar?
暂无分享,去创建一个
David C. Glahn | Theodore D. Satterthwaite | Armin Raznahan | Russell T. Shinohara | Simon N. Vandekar | Siyuan Liu | Aaron Alexander-Bloch | D. Glahn | A. Alexander-Bloch | A. Raznahan | S. Vandekar | R. Shinohara | T. Satterthwaite | Siyuan Liu
[1] John Suckling,et al. Global, voxel, and cluster tests, by theory and permutation, for a difference between two groups of structural MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[2] P. Matthews,et al. A common brain network links development, aging, and vulnerability to disease , 2014, Proceedings of the National Academy of Sciences.
[3] Edward T. Bullmore,et al. The discovery of population differences in network community structure: New methods and applications to brain functional networks in schizophrenia , 2012, NeuroImage.
[4] Jamil Zaki,et al. The Anatomy of Suffering: Understanding the Relationship between Nociceptive and Empathic Pain , 2016, Trends in Cognitive Sciences.
[5] Bram B. Zandbelt,et al. Common and unique neural networks for proactive and reactive response inhibition revealed by independent component analysis of functional MRI data , 2014, NeuroImage.
[6] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[7] J. Giedd,et al. Subtle in‐scanner motion biases automated measurement of brain anatomy from in vivo MRI , 2016, Human brain mapping.
[8] Aniket Kittur,et al. The Cognitive Atlas: Toward a Knowledge Foundation for Cognitive Neuroscience , 2011, Front. Neuroinform..
[9] Rainer Goebel,et al. Measuring structural–functional correspondence: Spatial variability of specialised brain regions after macro-anatomical alignment , 2012, NeuroImage.
[10] Russell A. Poldrack,et al. Large-scale automated synthesis of human functional neuroimaging data , 2011, Nature Methods.
[11] J. Booth,et al. Resampling-Based Multiple Testing. , 1994 .
[12] T. Paus,et al. Functional coactivation map of the human brain. , 2008, Cerebral cortex.
[13] R. Poldrack,et al. From Brain Maps to Cognitive Ontologies: Informatics and the Search for Mental Structure. , 2016, Annual review of psychology.
[14] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[15] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[16] E. Duchesnay,et al. A framework to study the cortical folding patterns , 2004, NeuroImage.
[17] Katrin Amunts,et al. Cortical Folding Patterns and Predicting Cytoarchitecture , 2007, Cerebral cortex.
[18] J. Lerch,et al. Patterns of Coordinated Anatomical Change in Human Cortical Development: A Longitudinal Neuroimaging Study of Maturational Coupling , 2011, Neuron.
[19] M. Cugmas,et al. On comparing partitions , 2015 .
[20] Randi C. Martin,et al. Static and Dynamic Measures of Human Brain Connectivity Predict Complementary Aspects of Human Cognitive Performance , 2017, bioRxiv.
[21] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[22] Paul C. Fletcher,et al. From genes to folds: a review of cortical gyrification theory , 2014, Brain Structure and Function.
[23] Olaf Sporns,et al. Can structure predict function in the human brain? , 2010, NeuroImage.
[24] Hans Knutsson,et al. Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.
[25] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[26] Tarald O. Kvålseth,et al. Entropy and Correlation: Some Comments , 1987, IEEE Transactions on Systems, Man, and Cybernetics.
[27] O Sporns,et al. Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.
[28] Michael P. Milham,et al. A convergent functional architecture of the insula emerges across imaging modalities , 2012, NeuroImage.
[29] Ramon Casanova,et al. Biological parametric mapping: A statistical toolbox for multimodality brain image analysis , 2007, NeuroImage.
[30] M. Meilă. Comparing clusterings---an information based distance , 2007 .
[31] A. Vania Apkarian,et al. Functional Reorganization of the Default Mode Network across Chronic Pain Conditions , 2014, PloS one.
[32] E. Bullmore,et al. The Convergence of Maturational Change and Structural Covariance in Human Cortical Networks , 2013, The Journal of Neuroscience.
[33] Kateri McRae,et al. Functional overlap of top-down emotion regulation and generation: An fMRI study identifying common neural substrates between cognitive reappraisal and cognitively generated emotions , 2014, Cognitive, affective & behavioral neuroscience.
[34] Anders M. Dale,et al. An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.
[35] Warren K. Bickel,et al. Remember the Future II: Meta-analyses and Functional Overlap of Working Memory and Delay Discounting , 2014, Biological Psychiatry.
[36] Armin Raznahan,et al. How Does Your Cortex Grow? , 2011, The Journal of Neuroscience.
[37] O. Sporns,et al. The economy of brain network organization , 2012, Nature Reviews Neuroscience.
[38] Brian Everitt,et al. Principles of Multivariate Analysis , 2001 .
[39] Andreas Horn,et al. The structural–functional connectome and the default mode network of the human brain , 2014, NeuroImage.
[40] Christian Sorg,et al. Correspondence Between Aberrant Intrinsic Network Connectivity and Gray-Matter Volume in the Ventral Brain of Preterm Born Adults. , 2015, Cerebral cortex.
[41] Timothy S. Coalson,et al. Parcellations and hemispheric asymmetries of human cerebral cortex analyzed on surface-based atlases. , 2012, Cerebral cortex.
[42] Rodrigo M. Braga,et al. Parallel Interdigitated Distributed Networks within the Individual Estimated by Intrinsic Functional Connectivity , 2017, Neuron.
[43] B. T. Thomas Yeo,et al. Topographic organization of the cerebral cortex and brain cartography , 2017, NeuroImage.
[44] S. Slotnick. Cluster success: fMRI inferences for spatial extent have acceptable false-positive rates , 2017, Cognitive neuroscience.
[45] Guilherme Carvalhal Ribas,et al. Study of fetal and postnatal morphological development of the brain sulci. , 2013, Journal of neurosurgery. Pediatrics.
[46] Vince D. Calhoun,et al. Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations , 2008, NeuroImage.
[47] R. Gur,et al. Topologically Dissociable Patterns of Development of the Human Cerebral Cortex , 2015, The Journal of Neuroscience.
[48] Mark A. Elliott,et al. Impact of in-scanner head motion on multiple measures of functional connectivity: Relevance for studies of neurodevelopment in youth , 2012, NeuroImage.
[49] B. Mazoyer,et al. Regional correlations between cortical thickness and surface area asymmetries: A surface-based morphometry study of 250 adults , 2016, Neuropsychologia.
[50] Edward T. Bullmore,et al. Frontiers in Systems Neuroscience Systems Neuroscience , 2022 .
[51] Timothy O. Laumann,et al. Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.
[52] B. Miller,et al. Neurodegenerative Diseases Target Large-Scale Human Brain Networks , 2009, Neuron.
[53] E. Bullmore,et al. Hubs of brain functional networks are radically reorganized in comatose patients , 2012, Proceedings of the National Academy of Sciences.
[54] Edward T. Bullmore,et al. Connectomics: A new paradigm for understanding brain disease , 2015, European Neuropsychopharmacology.
[55] Alan C. Evans,et al. Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex , 2012, NeuroImage.
[56] Thomas E. Nichols,et al. Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.
[57] Jari Saramäki,et al. Reorganization of functionally connected brain subnetworks in high‐functioning autism , 2015, Human brain mapping.
[58] Richard Rogers,et al. fMRI reveals neural activity overlap between adult and infant pain , 2015, eLife.
[59] Stephen M. Smith,et al. Permutation inference for the general linear model , 2014, NeuroImage.
[60] Karsten Mueller,et al. Commentary: Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2017, Front. Hum. Neurosci..
[61] Vince D. Calhoun,et al. Task-related concurrent but opposite modulations of overlapping functional networks as revealed by spatial ICA , 2013, NeuroImage.