“…This approach is known to limit the degrees of freedom in a model's topology while simultaneously imposing only minimal anatomical assumptions, and is, therefore, widely used in the neural modeling community (Sanz‐Leon, Knock, Spiegler, & Jirsa, ). Nonetheless, inferring connectional strength from diffusion tractography poses considerable methodological challenges, particularly, when assessing connections beyond major fiber tracts (Campbell & Pike, ; Thomas et al, ). Specifically, diffusion tractography does not differentiate between mono‐ and polysynaptic connections and is prone to false positive detections, particularly in areas of high fiber complexity (Jbabdi & Johansen‐Berg, ; Reveley et al, ).…”
Although the concept of left-hemispheric lateralization of neural processes during speech production has been known since the times of Broca, its physiological underpinnings still remain elusive. We sought to assess the modulatory influences of a major neurotransmitter, dopamine, on hemispheric lateralization during real-life speaking using a multimodal analysis of functional MRI, intracranial EEG recordings, and large-scale neural population simulations based on diffusion-weighted MRI. We demonstrate that speech-induced phasic dopamine release into the dorsal striatum and speech motor cortex exerts direct modulation of neuronal activity in these regions and drives left-hemispheric lateralization of speech production network. Dopamine-induced lateralization of functional activity and networks during speaking is not dependent on lateralization of structural nigro-striatal and nigro-motocortical pathways. Our findings provide the first mechanistic explanation for left-hemispheric lateralization of human speech that is due to left-lateralized dopaminergic modulation of brain activity and functional networks.
“…This approach is known to limit the degrees of freedom in a model's topology while simultaneously imposing only minimal anatomical assumptions, and is, therefore, widely used in the neural modeling community (Sanz‐Leon, Knock, Spiegler, & Jirsa, ). Nonetheless, inferring connectional strength from diffusion tractography poses considerable methodological challenges, particularly, when assessing connections beyond major fiber tracts (Campbell & Pike, ; Thomas et al, ). Specifically, diffusion tractography does not differentiate between mono‐ and polysynaptic connections and is prone to false positive detections, particularly in areas of high fiber complexity (Jbabdi & Johansen‐Berg, ; Reveley et al, ).…”
Although the concept of left-hemispheric lateralization of neural processes during speech production has been known since the times of Broca, its physiological underpinnings still remain elusive. We sought to assess the modulatory influences of a major neurotransmitter, dopamine, on hemispheric lateralization during real-life speaking using a multimodal analysis of functional MRI, intracranial EEG recordings, and large-scale neural population simulations based on diffusion-weighted MRI. We demonstrate that speech-induced phasic dopamine release into the dorsal striatum and speech motor cortex exerts direct modulation of neuronal activity in these regions and drives left-hemispheric lateralization of speech production network. Dopamine-induced lateralization of functional activity and networks during speaking is not dependent on lateralization of structural nigro-striatal and nigro-motocortical pathways. Our findings provide the first mechanistic explanation for left-hemispheric lateralization of human speech that is due to left-lateralized dopaminergic modulation of brain activity and functional networks.
“…Diffusion tensor MRI tractography is currently the only method to reconstruct the in-vivo fiber pathway, but it comes with the following known confounds [2]. The method cannot model complex fiber orientations because of limited angular resolution.…”
Diffusion tensor MRI tractography is an imaging tool that can provide information of in-vivo neuronal fiber tracts to assess progress for Alzheimer's disease (AD). In an effort to detect early AD progression, we focused on distinguishing subgroups within mild cognitive impairment (MCI): early MCI and late MCI. Tractography was applied not only to white matter regions but also neighboring gray matter regions known to be affected by AD. Nerve fibers touching the hippocampus, thalamus, and amygdala in both hemispheres were extracted to quantify limbic system fiber connectivity. Two fiber extraction algorithms, fiber assignment by continuous tracking and the Runge Kutta approach, were applied to an AD imaging database. We computed the number of fibers touching regions of interest as the imaging feature. The imaging feature could distinguish between the MCI subgroups. It was also significantly correlated with a known genetic marker for AD, the apolipoprotein E epsilon 4 allele. The number of fibers might be a useful imaging biomarker to complement conventional region of interest-based biomarkers for AD research.
“…This kind of approach necessitates evidently more processing power and time, which can limit its applicability. Even if structurally accurate, the provided reconstruction might also be possibly visualizing tracks that are anatomically accurate but progressively became functionally obsolete, in the context of brain plasticity (Campbell and Pike, 2014). Preoperative cross-validation of WMT with other techniques (functional MRI, transcranial magnetic stimulation) might be helpful in identifying those instances (Lemaire et al, 2013, Weiss et al, 2015, Weiss Lucas et al, 2017).…”
We perform a review of the literature in the field of white matter tractography for neurosurgical planning, focusing on those works where tractography was correlated with clinical information such as patient outcome, clinical functional testing, or electro-cortical stimulation. We organize the review by anatomical location in the brain and by surgical procedure, including both supratentorial and infratentorial pathologies, and excluding spinal cord applications. Where possible, we discuss implications of tractography for clinical care, as well as clinically relevant technical considerations regarding the tractography methods.We find that tractography is a valuable tool in variable situations in modern neurosurgery. Our survey of recent reports demonstrates multiple potentially successful applications of white matter tractography in neurosurgery, with progress towards overcoming clinical challenges of standardization and interpretation.
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