Evaluation and statistical inference for human connectomes
Open accessAbstract
Diffusion-weighted imaging coupled with tractography is currently the only method for in vivo mapping of human white-matter fascicles. Tractography takes diffusion measurements as input and produces the connectome, a large collection of white-matter fascicles, as output. We introduce a method to evaluate the evidence supporting connectomes. Linear fascicle evaluation (LiFE) takes any connectome as input and predicts diffusion measurements as output, using the difference between the measured and predicted diffusion signals to quantify the prediction error. We use the prediction error to evaluate the evidence that supports the properties of the connectome, to compare tractography algorithms and to test hypotheses about tracts and connections.
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Streamline filtering techniques can optimize the signal prediction error in order to reduce tractography biases.
“Streamline filtering techniques can optimize the signal prediction error in order to reduce tractography biases14, 16, 51.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [14]
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References 67 · Cited by 259
Research works printed but not linked: 6
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- [62]Lazar M White matter tractography using diffusion tensor deflection Human brain mapping 2003 18 306 321 12632468 PMC6871932
- [63]Basser PJ Pajevic S Pierpaoli C Duda J Aldroubi A In vivo fiber tractography using DT-MRI data Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 2000 44 625 632 11025519
- [64]Behrens TEJ Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging Nature neuroscience 2003 6 750 757 12808459
- [65]Parker GJM Haroon HA Wheeler-Kingshott CAM A framework for a streamline-based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements Journal of magnetic resonance imaging: JMRI 2003 18 242 254 12884338
- [68]Yeatman JD Dougherty RF Myall NJ Wandell BA Feldman HM Tract profiles of white matter properties: automating fiber-tract quantification PloS one 2012 7 e49790 23166771 PMC3498174
- Authors
- Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A.
- Affiliations
- Stanford University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Pestilli, Franco
- Venue
- Nature Methods
- Published
- 2014-09-07
- Volume
- 11
- Issue
- 10
- Pages
- 1058-1063
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- PMC
- PMC4180802
- OpenAlex
- W2058085357
- Cited by
- 259
- References
- 67
- Citations by year
- 2026: 9 · 2025: 16 · 2024: 12 · 2023: 8 · 2022: 14 · 2021: 35 · 2020: 32 · 2019: 29 · 2018: 28 · 2017: 31 · 2016: 16 · 2015: 27 · 2014: 1 · 2013: 1
- FWCI
- 19.52
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Methods (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5u54mh091657-05)
- National Institute of Mental Health (1U54 MH091657, U54-MH091657)
- National Eye Institute (F32EY022294)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- human connectome, tractography, diffusion-weighted imaging, prediction error, statistical inference
- MeSH terms
- Algorithms, Brain, Brain Mapping, Cognition, Data Interpretation, Statistical, Humans, Magnetic Resonance Imaging, Nerve Fibers, Myelinated, Probability, Software, Statistics as Topic, Reproducibility of Results, Computational Biology, Connectome
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