Correlation study of optimized voxel‐based morphometry and <sup>1</sup>H MRS in patients with mesial temporal lobe epilepsy and hippocampal sclerosis

Brázdil, Milan; Mareček, Radek; Fojtíková, Dagmar; Mikl, Michal; Kuba, Robert; Krůpa, Petr; Rektor, Ivan

doi:10.1002/hbm.20589

Cited by 23 publications

(18 citation statements)

References 46 publications

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“…41 This caveat appears particularly relevant for cross-sectional studies. In 18 of the latter (47.4%), 14,16,[20][21][22]24,30,[33][34][35][36][37][38]40,42,[50][51][52] no statistical approaches were implemented to correct for the effects of age. Although the remaining studies addressed aging, no consistent method was chosen: 3 reported no significant effects of age on morphometric measures in controls, 15,32,48 3 found no effect of age or no effect of age at epilepsy onset in patients, 19,29,53 2 corrected for age at onset, 18,28 5 corrected for age in patients, 17,26,47,49,54 4 utilized MRI measures adjusted for age 13,31,39,46 (based on regression models derived from controls), 1 calculated epilepsy duration/age ratios, 23 2 statistically compared chronological age effects between patients and controls.…”

Section: Resultsmentioning

confidence: 99%

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

et al. 2017

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Objective: It remains unclear whether drug-resistant temporal lobe epilepsy (TLE) is associated with cumulative brain damage, with no expert consensus and no quantitative syntheses of the available evidence.Methods: We conducted a systematic review and meta-analysis of MRI studies on progressive atrophy, searching PubMed and Ovid MEDLINE databases for cross-sectional and longitudinal quantitative MRI studies on drug-resistant TLE.Results: We screened 2,976 records and assessed eligibility of 248 full-text articles. Forty-two articles met the inclusion criteria for quantitative evaluation. We observed a predominance of cross-sectional studies, use of different clinical indices of progression, and high heterogeneity in age-control procedures. Meta-analysis of 18/1 cross-sectional/longitudinal studies on hippocampal atrophy (n 5 979 patients) yielded a pooled effect size of r 5 20.42 for ipsilateral atrophy related to epilepsy duration (95% confidence interval [CI] 20.51 to 20.32; p , 0.0001; I 2 5 65.22%) and r 5 20.35 related to seizure frequency (95% CI 20.47 to 20.22; p , 0.0001; I 2 5 61.97%). Sensitivity analyses did not change the results. Narrative synthesis of 25/3 crosssectional/longitudinal studies on whole brain atrophy (n 5 1,504 patients) indicated that .80% of articles reported duration-related progression in extratemporal cortical and subcortical regions. Detailed analysis of study design features yielded low to moderate levels of evidence for progressive atrophy across studies, mainly due to dominance of cross-sectional over longitudinal investigations, use of diverse measures of seizure estimates, and absence of consistent age control procedures.

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Section: Resultsmentioning

confidence: 99%

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

et al. 2017

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“…Recent investigations also show that while these two manifestations of DV are phenomenologically similar (Warren-Gash and Zeman 2014), they are associated with distinct neuroanatomical substrates (Brázdil and Zeman 2013;Labate et al 2015). Moreover, since TLE is associated with the reorganisation of brain networks (e.g., Brázdil et al 2009;Pail et al 2010) it is likely that any aberrant neural activity underlying DV discharges differently in the epileptic and healthy brain (Moulin 2014).…”

Section: Introductionmentioning

confidence: 98%

Structural covariance mapping delineates medial and medio-lateral temporal networks in déjà vu

Shaw

Mareček

Brázdil

2015

Brain Imaging and Behavior

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Déjà vu (DV) is an eerie phenomenon experienced frequently as an aura of temporal lobe epilepsy, but also reported commonly by healthy individuals. The former pathological manifestation appears to result from aberrant neural activity among brain structures within the medial temporal lobes. Recent studies also implicate medial temporal brain structures in the non-pathological experience of DV, but as one element of a diffuse neuroanatomical correlate; it remains to be seen if neural activity among the medial temporal lobes also underlies this benign manifestation. The present study set out to investigate this. Due to its unpredictable and infrequent occurrence, however, non-pathological DV does not lend itself easily to functional neuroimaging. Instead, we draw on research showing that brain structure covaries among regions that interact frequently as nodes of functional networks. Specifically, we assessed whether grey-matter covariance among structures implicated in non-pathological DV differs according to the frequency with which the phenomenon is experienced. This revealed two diverging patterns of structural covariation: Among the first, comprised primarily of medial temporal structures and the caudate, grey-matter volume becomes more positively correlated with higher frequency of DV experience. The second pattern encompasses medial and lateral temporal structures, among which greater DV frequency is associated with more negatively correlated grey matter. Using a meta-analytic method of co-activation mapping, we demonstrate a higher probability of functional interactions among brain structures constituting the former pattern, particularly during memory-related processes. Our findings suggest that altered neural signalling within memory-related medial temporal brain structures underlies both pathological and non-pathological DV.

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“…This latter view has been re-iterated by a number of studies. While the atrophic hippocampus typically does have lower NAA/Cr and is generally regarded as clearly injured, the ratio is not specifically determined by volumetric loss, and likely more reflects mitochondrial (dys)function (Sawrie et al 2001, Brazdil et al 2008, Vielhaber et al 2008). Thus as a whole, the tight relationship of Figure 1 is consistent with a view that total electrical activity is powered by mitochondrial function.…”

Section: Discussionmentioning

confidence: 99%

Intracranial EEG power and metabolism in human epilepsy

et al. 2009

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EEG power and high frequency activity in the seizure onset zone has been increasingly considered for its relationship with seizures in animal and human studies of epilepsy. We examine the relationship between quantitative EEG measures and metabolic imaging in epilepsy patients undergoing intracranial EEG (icEEG) analysis for seizure localization. Patients with mesial temporal lobe epilepsy (MTLE) and neocortical epilepsy (NE) were studied. Metabolic imaging was performed with MR spectroscopic imaging using N-acetyl aspartate (NAA) and creatine (Cr). All data were acquired from the mesial temporal lobe such that a direct comparison of the same anatomical regions between the two groups could be performed. While no difference was seen in the total power recorded from the mesial temporal lobe, the MTLE group had significantly greater power in the high frequency bands. There was a significant positive exponential relationship between total icEEG power with NAA/Cr in MTLE, R= +0.84 p<0.001, which was not seen in NE. There was also a significant negative relationship between fractional gamma power with NAA/Cr in MTLE R= −0.66 p<0.02, also not seen in NE. These data argue that within the seizure onset zone, the tight correlation between total power and NAA/Cr suggests that total electrical output is powered by available mitochondrial function. These data are also consistent with the hypothesis that high frequency activity is an abnormal manifestation of tissue injury.

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Correlation study of optimized voxel‐based morphometry and ¹H MRS in patients with mesial temporal lobe epilepsy and hippocampal sclerosis

Cited by 23 publications

References 46 publications

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

Structural covariance mapping delineates medial and medio-lateral temporal networks in déjà vu

Intracranial EEG power and metabolism in human epilepsy

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Correlation study of optimized voxel‐based morphometry and 1H MRS in patients with mesial temporal lobe epilepsy and hippocampal sclerosis

Cited by 23 publications

References 46 publications

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

A meta-analysis on progressive atrophy in intractable temporal lobe epilepsy

Structural covariance mapping delineates medial and medio-lateral temporal networks in déjà vu

Intracranial EEG power and metabolism in human epilepsy

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Correlation study of optimized voxel‐based morphometry and ¹H MRS in patients with mesial temporal lobe epilepsy and hippocampal sclerosis