Precision functional mapping of individual human brains

By Evan M. Gordon, Timothy O. Laumann, Adrian W. Gilmore, Dillan J. Newbold, Deanna J. Greene, Jeffrey J. Berg, Mario Ortega, Catherine Hoyt-Drazen, Caterina Gratton, Haoxin Sun and 10 more. Neuron, 2017

1,248 citations recorded by the source corpus.

Summary Human functional MRI (fMRI) research primarily focuses on analyzing data averaged across groups, which limits the detail, specificity, and clinical utility of fMRI resting-state functional connectivity (RSFC) and task activation maps. To push our understanding of functional brain organization to the level of individual humans, we assembled a novel MRI dataset containing five hours of RSFC data, six hours of task fMRI, multiple structural MRIs, and neuropsychological tests from each of ten adults. Using these data, we generated ten high fidelity, individual-specific functional connectomes. This individual connectome approach revealed several new types of spatial and organizational variability in brain networks, including unique network features and topologies that corresponded with structural and task-derived brain features. We are releasing this highly-sampled, individual-focused dataset as a resource for neuroscientists, and we propose precision individual connectomics as a model for future work examining the organization of healthy and diseased individual human brains.

Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/87f2326c863ec8e356ba1fe6585617ceb643998b

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Citations in the corpus

Neural Coding of Cognitive Control: The Representational Similarity Analysis Approach. (2020, background): “Yet such an approach is rare in cognitive control research, despite the pronounced sensitivity of the associated frontoparietal brain regions to individual differences [133,134].”
Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality and Emotion (2017, methodology): “, 2013), more recent studies have suggested the need for 25 to 30 minutes of data (Anderson et al., 2011; Laumann et al., 2015; Gordon et al., 2017c).”
Functional brain networks are dominated by stable group and individual factors, not cognitive or daily variation (2018, methodology): “Functional MRI data were acquired and analyzed for five different conditions, described in detail in Gordon et al. (2017c) and briefly below.”
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence (2021, background): “The visualizations—in particular, Supplementary Video 9—indicate that the quality of the NSD data enable precision functional mapping 33 : activity patterns are fine-scale and highly reliable within individual participants, and these patterns are distinct across participants.”
The OpenNeuro resource for sharing of neuroscience data (2021, neutral): “…which includes extensive task, resting, and diffusion MRI data from more than 100 sessions for a single individual; the Midnight Scan Club dataset ( Gordon et al., 2017 ), which includes extensive task and resting fMRI data from 10 individuals; and a number of other dense scanning datasets (…”
Closing the loop between brain and electrical stimulation: towards precision neuromodulation treatments (2023, background): “There are collective efforts to identify these biomarkers at the group level and validate them at the individual level [41, 42].”