Multi-modal, multi-scale imaging shows that long-association systems are made of short relay fibers

Presented During:

Monday, June 24, 2024: 5:45 PM - 7:00 PM
COEX  
Room: ASEM Ballroom 202  

Poster No:

2200 

Submission Type:

Abstract Submission 

Authors:

Chiara Maffei1, Evan Dann1, Marina Celestine2, Robert Jones1, Julia Lehman3, Hui Wang1, Suzanne Haber3,2, Anastasia Yendiki1

Institutions:

1Massachusetts General Hospital and Harvard Medical School, Boston, MA, 2Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, 3Department of Pharmacology & Physiology, University of Rochester, Rochester, NY

First Author:

Chiara Maffei  
Massachusetts General Hospital and Harvard Medical School
Boston, MA

Co-Author(s):

Evan Dann  
Massachusetts General Hospital and Harvard Medical School
Boston, MA
Marina Celestine  
Department of Psychiatry, McLean Hospital, Harvard Medical School
Belmont, MA
Robert Jones  
Massachusetts General Hospital and Harvard Medical School
Boston, MA
Julia Lehman  
Department of Pharmacology & Physiology, University of Rochester
Rochester, NY
Hui Wang  
Massachusetts General Hospital and Harvard Medical School
Boston, MA
Suzanne Haber  
Department of Pharmacology & Physiology, University of Rochester|Department of Psychiatry, McLean Hospital, Harvard Medical School
Rochester, NY|Belmont, MA
Anastasia Yendiki  
Massachusetts General Hospital and Harvard Medical School
Boston, MA

Introduction:

Obtaining accurate connectional neuroanatomy across scales and modalities ex vivo is crucial to inform the interpretation of in-vivo diffusion MRI (dMRI) findings and advance our understanding of brain circuitry. Here we combine data across multiple modalities, scales, and species to show that low spatial resolution may result in artifactual long-range connections. We focus on the dorsal superior longitudinal fasciculus (SLF-I), a major fiber association system running within the superior frontal gyrus (SFG). Tracing studies in monkeys describe the SLF-I as connecting the postero-medial parietal regions (PGm, PE, PEc) to different frontal regions (6D, 8B, 9)[1]. Due to the complexity of the SFG, with shorter, superficial fibers running parallel to longer, association fibers, the morphology of the human SLF-I remains controversial. Tractography and post-mortem dissections have yielded conflicting results, some supporting direct, long connections, and others supporting shorter or no SLF-I fibers [2,3]. Here, we combine multi-scale, multi-species, multi-modality data to investigate the mesoscopic organization within the SLF-I fiber system.

Methods:

The datasets used in this work are presented in Figure 1A and acquisition details are listed below.
Human data:
1) In vivo 1.5 mm dMRI: 3T, 2D EPI, 552 volumes (40 b=0, 64 b=1000, 64 b=3000; 128 b=5000; 256 b=10000 s/mm2)[4].
2) In vivo 760 μm dMRI: 3T, gSlider-SMS, 2808 volumes (144 b=0, 420 b=1000, 840 b=2500 s/mm2)[5].
3) Ex vivo 750 μm dMRI: 3T, 3D DW SSFP, 68 volumes (TR=30.21 ms, TE=25.12 ms, 8 b=0, 60 b=4,000 s/mm2).
4) Ex vivo 250 μm dMRI: 4 small blocks (roughly 2x2x1cm) cut from dataset 3 (9.4T, 3D EPI, 515 volumes, TR=75ms, TE=43ms, max b=40,000 s/mm2).
5) Ex vivo 10 μm polarization-sensitive optical coherence tomography (PS-OCT)[6].
Macaque data:
6) Ex vivo 700 μm dMRI: 4.7T, 3D EPI, 514 volumes (max b=40,000 s/mm2).
7) Tracer data: 3 male macaques received an injection in the frontal pole, in 9M, and in 6A (cases 1, 2, 3 respectively)[7].
Pre-processing: All dMRI data were denoised and corrected for motion/eddy current distortions. For each dataset, fiber orientation distributions were estimated using constrained spherical deconvolution and connectivity matrices were generated in MRtrix3. PS-OCT data were processed as described in [8] and tractography was performed using an in-house algorithm developed in Julia. Datasets 2,3 and 6 were downsampled to 1.5 mm to investigate the effect of spatial resolution.

Results:

Higher resolution tractography in humans (<750 μm) shows that the medial SFG white matter mainly comprises short-range connections that come in and out the cortex, rather than long-range direct connections as observed in in vivo lower resolution dMRI (Figure 1B, top row). Anatomic tracing and dMRI tractography in macaques support these findings, showing direct connections only between 6M and Pe/Pec and shorter relay fibers rostral to 6M (Figure 1B, bottom row). Most of the longer, direct connections between parietal and frontal regions course within the cingulum bundle (Figure 2B), in accordance with the literature [9]. White-matter fibers originating in parietal regions and coursing withing the SFG white matter mainly terminate in areas 4, 6, and 8B, as previously reported [2]. The number of direct, long connections coursing within the SFG white matter is greater at 1.5 mm resolution than at higher resolutions (Figure 2C-D).
Supporting Image: ohbm1.png
Supporting Image: ohbm.png
 

Conclusions:

By comparing data across multiple modalities, scales, and species, we provide preliminary novel evidence that the SLF-I is composed of a succession of shorter relay fibers, which, in lower-resolution dMRI tractography result in a long, direct association bundle. These results point to the fact that each large white matter pathways like the SLF should not be thought of as monolithic structures, connecting a pair of remote cortical regions, but as conduits for connections between multiple pairs of regions.

Modeling and Analysis Methods:

Connectivity (eg. functional, effective, structural)
Diffusion MRI Modeling and Analysis 2

Neuroanatomy, Physiology, Metabolism and Neurotransmission:

Anatomy and Functional Systems
White Matter Anatomy, Fiber Pathways and Connectivity 1

Novel Imaging Acquisition Methods:

Diffusion MRI

Keywords:

MRI
Tractography
White Matter
WHITE MATTER IMAGING - DTI, HARDI, DSI, ETC
Other - Fiber Pathways

1|2Indicates the priority used for review

Provide references using author date format

1. Petrides M., Pandya DN. (1984),' Projections to the frontal cortex from the posterior parietal region in the rhesus monkey', J Comp Neurol. Sep 1;228(1):105-16.
2. Kamali A., Flanders A.E., Brody J., Hunter J.V., Hasan KM. (2014), 'Tracing superior longitudinal fasciculus connectivity in the human brain using high resolution diffusion tensor tractography', Brain Struct Funct. Jan;219(1):269-81.
3.Wang X., Pathak S., Stefaneanu L., Yeh FC, Li S, Fernandez-Miranda JC. (2016), 'Subcomponents and connectivity of the superior longitudinal fasciculus in the human brain', Brain Struct Funct. May;221(4):2075-92.
4.Fan Q, Witzel T, Nummenmaa A, Van Dijk KRA, Van Horn JD, Drews MK, Somerville LH, Sheridan MA, Santillana RM, Snyder J, Hedden T, Shaw E.E., Hollinshead MO, Renvall V, Zanzonico R, Keil B, Cauley S, Polimeni JR, Tisdall D, Buckner RL, Wedeen VJ, Wald LL, Toga AW, Rosen B.R. (2016), MGH-USC Human Connectome Project datasets with ultra-high b-value diffusion MRI. Neuroimage. Jan 1;124(Pt B):1108-1114.
5. Wang F. Bilgic B, Dong Z, Manhard MK, Ohringer N, Zhao B, Haskell M, Cauley SF, Fan Q, Witzel T, Adalsteinsson E, Wald LL, Setsompop K. (2018), 'Motion‐robust sub‐millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC-gSlider) acquisition', Magn. Reson. Med. 80, 1891–1906.
6. Wang H, Akkin T, Magnain C, Wang R, Dubb J, Kostis WJ, Yaseen MA, Cramer A, Sakad ž i ć S, Boas D, (2016), 'Polarization sensitive optical coherence microscopy for brain imaging', Opt. Lett 41 (10), 2213–2216.
7.Lehman JF, Greenberg BD, McIntyre CC, Rasmussen SA, Haber SN, (2011), 'Rules ventral prefrontal cortical axons use to reach their targets: implications for diffusion tensor imaging tractography and deep brain stimulation for psychiatric illness',. J. Neurosci. 31, 10392–10402.
8. Jones R, Maffei C, Augustinack J, Fischl B, Wang H, Bilgic B, Yendiki A. High-fidelity approximation of grid- and shell-based sampling schemes from undersampled DSI using compressed sensing: Post mortem validation. Neuroimage. 2021 Dec 1;244:118621.
9. Heilbronner SR, Haber SN. Frontal cortical and subcortical projections provide a basis for segmenting the cingulum bundle: implications for neuroimaging and psychiatric disorders. J Neurosci. 2014 Jul 23;34(30):10041-54