The structural plasticity of white matter networks following anterior temporal lobe resection

Yogarajah, Mahinda; Focke, Niels K.; Bonelli, S; Thompson, Pamela J.; Vollmar, Christian; McEvoy, Andrew W.; Alexander, Daniel C.; Symms, Mark R.; Koepp, Matthias J.; Duncan, John S.

doi:10.1093/brain/awq175

Cited by 107 publications

(112 citation statements)

References 93 publications

(124 reference statements)

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“…Data from the current study in a similar cohort suggest that despite apparent normalization of WM DTI metrics at 1 year, alteration in WM microstructure compared to controls is evident about 8 years after PFS, and that this alteration is accompanied by apparent increases in the coherence of the remaining WM structure. Similar findings of FA increase, often accompanied by an increase in AD, have also been reported several months after brain insult in the form of brain surgery, stroke, and traumatic brain injury 30, 31, 32, 33. It is tempting to suggest that this reorganization of the remaining WM structure is the brain's attempt to maintain efficient organization in the face of an event disruptive to the normal trajectory of maturation, and one that has served to maintain neurologic and cognitive function as observed in our cohort.…”

Section: Discussionsupporting

confidence: 79%

Long‐term white matter tract reorganization following prolonged febrile seizures

et al. 2017

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SummaryObjectiveDiffusion magnetic resonance imaging (MRI) studies have demonstrated acute white matter changes following prolonged febrile seizures (PFS), but their longer‐term evolution is unknown. We investigated a population‐based cohort to determine white matter diffusion properties 8 years after PFS.MethodsWe used diffusion tensor imaging (DTI) and applied Tract‐Based Spatial Statistics for voxel‐wise comparison of white matter microstructure between 26 children with PFS and 27 age‐matched healthy controls. Age, gender, handedness, and hippocampal volumes were entered as covariates for voxel‐wise analysis.ResultsMean duration between the episode of PFS and follow‐up was 8.2 years (range 6.7–9.6). All children were neurologically normal, and had normal conventional neuroimaging. On voxel‐wise analysis, compared to controls, the PFS group had (1) increased fractional anisotropy in early maturing central white matter tracts, (2) increased mean and axial diffusivity in several peripheral white matter tracts and late‐maturing central white matter tracts, and (3) increased radial diffusivity in peripheral white matter tracts. None of the tracts had reduced fractional anisotropy or diffusivity indices in the PFS group.SignificanceIn this homogeneous, population‐based sample, we found increased fractional anisotropy in early maturing central white matter tracts and increased mean and axial diffusivity with/without increased radial diffusivity in several late‐maturing peripheral white matter tracts 8 years post‐PFS. We propose disruption in white matter maturation secondary to seizure‐induced axonal injury, with subsequent neuroplasticity and microstructural reorganization as a plausible explanation.

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Section: Discussionsupporting

confidence: 79%

Long‐term white matter tract reorganization following prolonged febrile seizures

et al. 2017

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“…Functional MRI can be used to define an active network implementing a key function that might be "at risk" with temporal lobe surgery (e.g., verbal fluency), although the validity of this approach needs to be established in prospective studies. 5 Preoperative fMRI has been shown to be sensitive to language and verbal memory laterality 9 and is a known predictor of cog-nitive outcome 24,45 in the setting of epilepsy. For instance, a large fMRI study of verbal and visual memory in patients undergoing left or right anterior temporal lobectomy suggested that presurgical fMRI activation of the ipsilateral anterior temporal lobe was correlated with greater postsurgical memory decline.…”

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confidence: 99%

“…One published study has reported that a change in fractional anisotropy correlates with good language outcome following temporal lobectomy, but this study lacked a normal control group. 45 In short, rsfMRI can identify the cortical regions communicating within a network; DTI can verify that these regions are anatomically connected; and fMRI can define the cognitive function(s) the network may be communicating about. In practical terms, all three can be gathered during one MRI scanning session with a minimal increase in scanning time and no increase in patient discomfort.…”

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confidence: 99%

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Osipowicz

Sperling²,

Sharan

et al. 2016

JNS

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929cliNical article J Neurosurg 124:929-937, 2016 P redicting outcome following resective brain surgery remains a high-priority goal in neurology and neurosurgery. Recently, a need for classifying surgical outcome on the basis of functional status, such as cognition, rather than just seizure control, has been articulated. 44 A number of neuroimaging techniques give us insight into the neuroanatomical correlates of cognition. These techniques are increasingly being used as part of presurgical planning algorithms, 11,19,20,28 providing an opportunity to not only gain insights into the functional neuroanatomy of "at-risk" cognition and how it relates to the underlying pathology, but also use such insights to predict cognitive outcome following surgery, such as anterior temporal lobectomy (ATL) for epilepsy.The predictive power and the combined clinical utility of 3 major MRI techniques (functional MRI [fMRI], resting state fMRI [rsfMRI], and diffusion tensor imaging [DTI]) are unknown and untested. These 3 modalities can be conceptually combined to obtain a more complete view of the neural modules and connectivity networks implementing cognition and driving adaptive or maladaptive neuroplasticity responses in the brain. Functional MRI can be used to define an active network implementing a key function that might be "at risk" with temporal lobe surgery (e.g., verbal fluency), although the validity of this approach needs to be established in prospective studies.5 Preoperative fMRI has been shown to be sensitive to language and verbal memory laterality 9 and is a known predictor of cogabbreviatioNs ATL = anterior temporal lobectomy; DTI = diffusion tensor imaging; fMRI = functional MRI; RCI = Reliable Change Index; rsfMRI = resting state fMRI; TLE = temporal lobe epilepsy. obJective Predicting cognitive function following resective surgery remains an important clinical goal. Each MRI neuroimaging technique can potentially provide unique and distinct insight into changes that occur in the structural or functional organization of "at-risk" cognitive functions. The authors tested for the singular and combined power of 3 imaging techniques (functional MRI [fMRI], resting state fMRI, diffusion tensor imaging) to predict cognitive outcome following left (dominant) anterior temporal lobectomy for intractable epilepsy. methods The authors calculated the degree of deviation from normal, determined the rate of change in this measure across the pre- and postsurgical imaging sessions, and then compared these measures for their ability to predict verbal fluency changes following surgery. results The data show that the 3 neuroimaging techniques, in a combined model, can reliably predict cognitive outcome following anterior temporal lobectomy for medically intractable temporal lobe epilepsy. coNclusioNs These findings suggest that these 3 imaging modalities can be used effectively, in an additive fashion, to predict functional reorganization and cognitive outcome following anterior temporal lobectomy.

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“…In particular, for a subset of 50 patients with glioblastoma or gliosarcoma (WHO Grade IV), there was a significant difference in median survival of 19.3 months (DTI group) versus 11.2 months (control group, p = 0.02), representing a 53.6% reduction in the risk of death over the course of the study. 53 A separate analysis of only WHO Grade IV neoplasms showed a similarly statistically significant survival benefit among patients undergoing DTI-aided resection (19.3 vs 11.2 months). Additionally, the overall rates of GTR in the DTI group (118 cases, 72% GTR) were significantly higher than in the control group that underwent standard neuronavigation (120 cases, 51.7% GTR, p = 0.002).…”

mentioning

confidence: 86%

Use of diffusion tensor imaging in glioma resection

Abdullah

Lubelski

Nucifora

et al. 2013

FOC

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Diffusion tensor imaging (DTI) is increasingly used in the resection of both high- and low-grade gliomas. Whereas conventional MRI techniques provide only anatomical information, DTI offers data on CNS connectivity by enabling visualization of important white matter tracts in the brain. Importantly, DTI allows neurosurgeons to better guide their surgical approach and resection. Here, the authors review basic scientific principles of DTI, include a primer on the technology and image acquisition, and outline the modality's evolution as a frequently used tool for glioma resection. Current literature supporting its use is summarized, highlighting important clinical studies on the application of DTI in preoperative planning for glioma resection, preoperative diagnosis, and postoperative outcomes. The authors conclude with a review of future directions for this technology.

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The structural plasticity of white matter networks following anterior temporal lobe resection

Cited by 107 publications

References 93 publications

Long‐term white matter tract reorganization following prolonged febrile seizures

Long‐term white matter tract reorganization following prolonged febrile seizures

Functional MRI, resting state fMRI, and DTI for predicting verbal fluency outcome following resective surgery for temporal lobe epilepsy

Use of diffusion tensor imaging in glioma resection

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