Probabilistic fiber tracking of the language and motor white matter pathways of the supplementary motor area (SMA) in patients with brain tumors

Jenabi, Mehrnaz; Peck, Kyung K.; Young, Robert J.; Brennan, Nicole Petrovich; Holodny, Andrei I.

doi:10.1016/j.neurad.2013.12.001

Cited by 12 publications

(17 citation statements)

References 32 publications

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“…These findings corroborate with DTI and paradigm-driven studies demonstrating structural and functional relationships between the pre-SMA and Broca's area during language tasks [5]. Revealingly, the next strongest areas of connections are all known language roles, such as Wernicke's area, middle frontal gyrus, supramarginal gyrus, and angular gyrus.…”

Section: Discussionsupporting

confidence: 85%

“…Whereas the rostral SMA proper has been shown to preferentially activate during the motor aspects of language function such as word articulation and motor output in task-fMRI studies, the pre-SMA exhibits more prominent activation in specific cognitive language tasks [1], including verb generation [2], semantic-based word generation [3], and word reading [4] among a myriad of others. Very recently, white matter connectivity between the pre-SMA and associated language network using diffusion tensor imaging (DTI) was described [5]. Based on these findings, we anticipate substantial resting state functional connectivity to language association areas discovered in previous task-based language studies.…”

Section: Introductionmentioning

confidence: 64%

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Left-lateralization of resting state functional connectivity between the presupplementary motor area and primary language areas

Lou

Peck

Brennan³

et al. 2017

NeuroReport

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An abundance of evidence points to a pre-supplementary motor area (pre-SMA) role in human language. This study explores the pre-SMA resting state connectivity network and the nature of its connections to known language areas. We tested the hypothesis that by seeding the pre-SMA, one would be able to establish language laterality to known cortical and sub-cortical language areas. We analyzed data from 30 right-handed healthy controls and performed the resting state functional MRI (rfMRI). A seed based analysis using a manually drawn pre-SMA region of interest (ROI) template was applied. Time course signals in the pre-SMA ROI were averaged and cross-correlated to every voxel in the brain. Results show that the pre-SMA has significant left-lateralized functional connectivity to the pars opercularis within Broca's area. Among cortical regions, pre-SMA functional connectivity is strongest to the pars opercularis Additionally, pre-SMA connectivity was shown to exist to other cortical language-association regions, including Wernicke's Area, supramarginal gyri, angular gyri(, and middle frontal gyri. Among sub-cortical areas, considerable left-lateralized functional connectivity occurs to the caudate and thalamus while cerebellar sub-regions show right-lateralization. The current study reveals that the pre-SMA most strongly connects to the pars opercularis within Broca's area and that cortical connections to language areas are left-lateralizedamong a sample of right-handed patients. We provide rfMRI evidence that the functional connectivity of the pre-SMA is involved in semantic language processing and that this identification may be useful for establishing language laterality in pre-operative neurosurgical planning.

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 64%

Left-lateralization of resting state functional connectivity between the presupplementary motor area and primary language areas

Lou

Peck

Brennan³

et al. 2017

NeuroReport

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“…The number of random walks was set to 100,000, and the maximum fiber length, to 150 voxels with no revisiting. 7,11 The tracts were reconstructed by extraction of the most probable connected voxels between 2 ROIs. First, the visiting connectivity maps were generated for each ROI.…”

Section: Methodsmentioning

confidence: 99%

“…11 The number of voxels was then determined by counting voxels within each probabilistic connectivity map and normalizing them to the sum of their corresponding ROIs as shown below:

Number of Voxels = Number of all Counted Voxels in each Connectivity Map / false(Motor normalR normalO normalI + Pons normalR normalO normalI false) .

…”

Section: Methodsmentioning

confidence: 99%

Identification of the Corticobulbar Tracts of the Tongue and Face Using Deterministic and Probabilistic DTI Fiber Tracking in Patients with Brain Tumor

Jenabi¹,

Peck²,

Young

et al. 2015

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE The corticobulbar tract of the face and tongue, a critical white matter tract connecting the primary motor cortex and the pons, is rarely detected by deterministic DTI fiber tractography. Detection becomes even more difficult in the presence of a tumor. The purpose of this study was to compare identification of the corticobulbar tract by using deterministic and probabilistic tractography in patients with brain tumor. MATERIALS AND METHODS Fifty patients with brain tumor who underwent DTI were studied. Deterministic tractography was performed by using the fiber assignment by continuous tractography algorithm. Probabilistic tractography was performed by using a Monte Carlo simulation method. ROIs were drawn of the face and tongue motor homunculi and the pons in both hemispheres. RESULTS In all subjects, fiber assignment by continuous tractography was ineffectual in visualizing the entire course of the corticobulbar tract between the face and tongue motor cortices and the pons on either side. However, probabilistic tractography successfully visualized the corticobulbar tract from the face and tongue motor cortices in all patients on both sides. No significant difference (P < .08) was found between both sides in terms of the number of voxels or degree of connectivity. The fractional anisotropy of both the face and tongue was significantly lower on the tumor side (P < .03). When stratified by tumor type, primary-versus-metastatic tumors, no differences were observed between tracts in terms of the fractional anisotropy and connectivity values (P > .5). CONCLUSIONS Probabilistic tractography successfully reconstructs the face- and tongue-associated corticobulbar tracts from the lateral primary motor cortex to the pons in both hemispheres.

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“…Diffusion tensor imaging (DTI) identified connectivity of the pre-SMA to the PMd and PMv (Hartwigsen et al, 2013), Figure 4 A summary of activity foci from 24 fMRI studies of behavioral tasks and with contrasts of switch > no switch (green) in set/response switching task (De Baene & Brass, 2013;Dove et al, 2000;Moll et al, 2002;Witt & Stevens, 2012;Woodward et al, 2006); incongruent > congruent (blue) in Stroop, Simons, or Flanker task (Fan et al, 2008;Kemmotsu et al, 2005;Liu et al, 2004;Liu et al, 2014;Luks et al, 2007;McNab et al, 2008;Mitchell, 2005;Sebastian et al, 2013;Zysset et al, 2007); no-go > go (red) in go/no-go task (Brown et al, 2008;Horn et al, 2003;Kelly et al, 2004;McNab et al, 2008;Nakata et al, 2008;Passamonti et al, 2006;Sebastian et al, 2013;Steele et al, 2013) Broca's area of the IFC (Jenabi et al, 2013), and the lateral prefrontal cortex (lPFC) (Johansen-Berg et al, 2004). DTI also confirmed pre-SMA projections to the striatum at locations rostral to SMA projections (Lehéricy et al, 2004).…”

Section: Presupplementary Motor Areamentioning

confidence: 99%

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Probabilistic fiber tracking of the language and motor white matter pathways of the supplementary motor area (SMA) in patients with brain tumors

Cited by 12 publications

References 32 publications

Left-lateralization of resting state functional connectivity between the presupplementary motor area and primary language areas

Left-lateralization of resting state functional connectivity between the presupplementary motor area and primary language areas

Identification of the Corticobulbar Tracts of the Tongue and Face Using Deterministic and Probabilistic DTI Fiber Tracking in Patients with Brain Tumor

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