Toward discovery science of human brain function

@article{Biswal2010TowardDS,
  title={Toward discovery science of human brain function},
  author={Bharat B. Biswal and Maarten Mennes and Xi-Nian Zuo and Suril Gohel and Clare Kelly and Steve M. Smith and Christian F. Beckmann and Jonathan S. Adelstein and Randy L. Buckner and Stanley J. Colcombe and Anne-Marie Dogonowski and Monique Ernst and Damien Pa-C Fair and Michelle Hampson and Matthew J. Hoptman and James S. Hyde and Vesa J Kiviniemi and Rolf K{\"o}tter and Shi-Jiang Li and Ching-Po Lin and Mark J. Lowe and Clare E. Mackay and David J. Madden and Kristoffer Hougaard Madsen and Daniel S. Margulies and Helen S. Mayberg and Katie L Mcmahon and Christopher S. Monk and Stewart H. Mostofsky and Bonnie J. Nagel and James J. Pekar and Scott J. Peltier and Steven E. Petersen and Valentin Riedl and Serge A. R. B. Rombouts and Bart Rypma and Bradley L. Schlaggar and Sein Schmidt and Rachael D. Seidler and Greg J. Siegle and Christian Sorg and Gao-Jun Teng and Juha Veijola and Arno Villringer and Martin Walter and Lihong Wang and Xu-Chu Weng and Susan L. Whitfield-Gabrieli and Peter Williamson and Christian Windischberger and Yufeng Zang and Hong-Ying Zhang and Francisco Xavier Castellanos and Michael Peter Milham},
  journal={Proceedings of the National Academy of Sciences},
  year={2010},
  volume={107},
  pages={4734 - 4739}
}
Although it is being successfully implemented for exploration of the genome, discovery science has eluded the functional neuroimaging community. [] Key Result" Reproducibility across datasets and individuals suggests the functional connectome has a common architecture, yet each individual's functional connectome exhibits unique features, with stable, meaningful interindividual differences in connectivity patterns and strengths. Comprehensive mapping of the functional connectome, and its subsequent…

Figures from this paper

Probing the Human Brain Functional Connectome with Simultaneous EEG and fMRI
TLDR
The functional connections between brain regions are most often inferred from functional magnetic resonance imaging of the brain at rest, and the complementary information that each modality can provide at a whole-brain connectome level has only recently begun to be explored.
The Study of Brain Functional Connectivity across Rodents and Humans
TLDR
This review begins by examining similarities and differences in anatomical features, acquisition parameters, and preprocessing techniques, and aspects of the BOLD fluctuations such as the topography of the global signal and the relationship between structural and functional connectivity are examined.
Assessing Variations in Areal Organization for the Intrinsic Brain: From Fingerprints to Reliability
TLDR
The utility of gradient-based iFC approaches for studying inter-individual variation in brain function is illustrated, with 10-minute R-fMRI scans sufficient to achieve high accuracies in efforts to “fingerprint” individuals based upon full-brain transition profiles.
Title : Rodents as a Model for Functional Connectivity in Humans
TLDR
This review begins by examining similarities and differences in anatomical features, acquisition parameters, and preprocessing techniques, and aspects of the BOLD fluctuations such as the topography of the global signal and the relationship between structural and functional connectivity are examined.
Exploring the functional connectome in white matter
TLDR
This study derived a functional connectome from WM resting‐state blood‐oxygen‐level‐dependent (BOLD)‐fMRI signals from a large cohort and found a long‐term topological reliability, which was positively correlated with individuals' intelligence values.
Non-Stationarity in the “Resting Brain’s” Modular Architecture
TLDR
Differences in connectivity in Alzheimer’s disease can be explained by differences in dwell time in DMN sub-network configurations, rather than steady state connectivity magnitude, which may underlie the TF-fMRI findings that have been described in mild cognitive impairment and cognitively normal subjects who are at risk for Alzheimer's dementia.
Nonstationarity in the ‘resting brain's’ modular architecture
A Connectome Computation System for discovery science of brain
TLDR
The utility of the CCS is demonstrated based upon a publicly available dataset, the NKI–Rockland Sample, to delineate the normative trajectories of well-known large-scale neural networks across the natural life span (6–85 years of age).
...
...

References

SHOWING 1-10 OF 62 REFERENCES
Defining functional areas in individual human brains using resting functional connectivity MRI
Consistent resting-state networks across healthy subjects
TLDR
Findings show that the baseline activity of the brain is consistent across subjects exhibiting significant temporal dynamics, with percentage BOLD signal change comparable with the signal changes found in task-related experiments.
Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization.
TLDR
The brevity and robustness of fcMRI positions it as a powerful tool for large-scale explorations of genetic influences on brain architecture and how it can be combined with HARDI techniques to support the emerging field of human connectomics.
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
TLDR
The results demonstrate the highly organized modular architecture and associated topological properties in the temporal and spatial brain functional networks of the human brain that underlie spontaneous neuronal dynamics, which provides important implications for understanding of how intrinsically coherent spontaneous brain activity has evolved into an optimal neuronal architecture to support global computation and information integration in the absence of specific stimuli or behaviors.
Functional Brain Networks Develop from a “Local to Distributed” Organization
TLDR
Over development, the organization of multiple functional networks shifts from a local anatomical emphasis in children to a more “distributed” architecture in young adults, and it is argued that this “local to distributed” developmental characterization has important implications for understanding the development of neural systems underlying cognition.
The resting brain: unconstrained yet reliable.
TLDR
The findings provide a solid foundation for continued examination of resting state fcMRI in typical and atypical populations, and short- and long-term measures of the consistency of global connectivity patterns were highly robust.
Investigations into resting-state connectivity using independent component analysis
TLDR
A probabilistic independent component analysis approach, optimized for the analysis of fMRI data, is reviewed and it is demonstrated that this is an effective and robust tool for the identification of low-frequency resting-state patterns from data acquired at various different spatial and temporal resolutions.
Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease
TLDR
To identify regions of high connectivity in the human cerebral cortex, a computationally efficient approach was applied to map the degree of intrinsic functional connectivity across the brain and explored whether the topography of hubs could explain the pattern of vulnerability in Alzheimer's disease (AD).
...
...