Ultra-high resolution and multi-shell diffusion MRI of intact ex vivo human brains using kT-dSTEAM at 9.4T

Fritz, Francisco J.; Sengupta, Shubharthi; Harms, Robbert; Tse, Desmond H. Y.; Poser, Benedikt A.; Roebroeck, Alard

doi:10.1016/j.neuroimage.2019.116087

Cited by 29 publications

(30 citation statements)

References 60 publications

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“…The sophistication of specific tissue preparation techniques and pulse sequences has increased to a level at which ex vivo dMRI has quickly become an important tool in brain anatomy studies with mesoscopic spatial resolution. Whole ex vivo human brain dMRI has already been reported at 400 μm isotropic resolution, which is a factor of 18 higher 3D resolution than the 7T Human Connectome Project (HCP) in vivo dMRI datasets. With continuing advances in both in vivo and ex vivo techniques, ex vivo dMRI is likely to continue leading the way for in vivo acquisitions in terms of resolution.…”

Section: Discussionmentioning

confidence: 99%

Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

2018

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This review discusses ex vivo diffusion magnetic resonance imaging (dMRI) as an important research tool for neuroanatomical investigations and the validation of in vivo dMRI techniques, with a focus on the human brain. We review the challenges posed by the properties of post-mortem tissue, and discuss state-of-the-art tissue preparation methods and recent advances in pulse sequences and acquisition techniques to tackle these. We then review recent ex vivo dMRI studies of the human brain, highlighting the validation of white matter orientation estimates and the atlasing and mapping of large subcortical structures. We also give particular emphasis to the delineation of layered gray matter structure with ex vivo dMRI, as this application illustrates the strength of its mesoscale resolution over large fields of view. We end with a discussion and outlook on future and potential directions of the field.

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Section: Discussionmentioning

confidence: 99%

Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

2018

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“…But the conceptual framework we introduce shows how to take into account detailed connectivity patterns (if available) to improve the analysis of the SC-FC relationship. In humans, the release of full connectomes obtained postmortem at ultrahigh resolutions (47) constitutes an important step in this direction. Detailed connectivity patterns from non-human primates may also be used to build a high resolution "human" SC (48,49).…”

Section: Discussionmentioning

confidence: 99%

Individual structural features constrain the mouse functional connectome

Melozzi

Bergmann

Harris

et al. 2019

Preprint

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Whole brain dynamics intuitively depends upon the internal wiring of the brain; butto which extent the individual structural connectome constrains the corresponding functional connectome is unknown, even though its importance is uncontested. After acquiring structural data from individual mice, we virtualized their brain networks and simulated in silico functional MRI data. Theoretical results were validated against empirical awake functional MRI data obtained from the same mice. We demonstrate that individual structural connectomes predict the functional organization of individual brains. Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure-function relations are the asymmetry and the weights of the structural links. Model predictions were validated experimentally using tracer injections, identifying which missing connections (not measurable with diffusion MRI) are important for whole brain dynamics in the mouse. Individual variations thus define a specific structural fingerprint with direct impact upon the functional organization of individual brains, a key feature for personalized medicine. SIGNIFICANCE STATEMENTThe structural connectome is a key determinant of brain function and dysfunction. The connectome-based model approach aims to understand the functional organization of the brain by modeling the brain as a dynamical system and then studying how the functional architecture rises from the underlying structural skeleton. Here, taking advantage of mice studies, we systematically investigated the informative content of different structural features in explaining the emergence of the functional ones. We demonstrate that individual variations define a specific structural fingerprint with a direct impact upon the functional organization of individual brains stressing the importance of using individualized models to understand brain function. We show how limitations of connectome reconstruction with the diffusion-MRI method restrict our comprehension of the structural-functional relation. PP Tracerfiltered = 0.461 ± 0.005 PP Tracer = 0.488 ± 0.005 P = 0.002 PP Individual−det = 0.415 ± 0.005 P = 2e -10 PP Tracersym = 0.418 ± 0.004 PP Tracer = 0.488 ± 0.005 P = 2e -20 P = 1.0 PP Tracersym = 0.418 ± 0.004

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“…But the conceptual framework we introduce shows how to take into account detailed connectivity patterns (if available) to improve the analysis of the SC–FC relationship. In humans, the release of full connectomes obtained postmortem at ultrahigh resolutions (47) constitutes an important step in this direction. Detailed connectivity patterns from nonhuman primates may also be used to build a high resolution “human” SC (48, 49).…”

Section: Discussionmentioning

confidence: 99%

Individual structural features constrain the mouse functional connectome

Melozzi

Bergmann

Harris

et al. 2019

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Whole brain dynamics intuitively depend upon the internal wiring of the brain; but to which extent the individual structural connectome constrains the corresponding functional connectome is unknown, even though its importance is uncontested. After acquiring structural data from individual mice, we virtualized their brain networks and simulated in silico functional MRI data. Theoretical results were validated against empirical awake functional MRI data obtained from the same mice. We demonstrate that individual structural connectomes predict the functional organization of individual brains. Using a virtual mouse brain derived from the Allen Mouse Brain Connectivity Atlas, we further show that the dominant predictors of individual structure–function relations are the asymmetry and the weights of the structural links. Model predictions were validated experimentally using tracer injections, identifying which missing connections (not measurable with diffusion MRI) are important for whole brain dynamics in the mouse. Individual variations thus define a specific structural fingerprint with direct impact upon the functional organization of individual brains, a key feature for personalized medicine.

show abstract

Ultra-high resolution and multi-shell diffusion MRI of intact ex vivo human brains using kT-dSTEAM at 9.4T

Cited by 29 publications

References 60 publications

Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

Individual structural features constrain the mouse functional connectome

Individual structural features constrain the mouse functional connectome

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