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Research ArticleAdult Brain
Open Access

Diffusion Tensor Imaging Mapping of Brain White Matter Pathology in Mitochondrial Optic Neuropathies

D.N. Manners, G. Rizzo, C. La Morgia, C. Tonon, C. Testa, P. Barboni, E. Malucelli, M.L. Valentino, L. Caporali, D. Strobbe, V. Carelli and R. Lodi
American Journal of Neuroradiology July 2015, 36 (7) 1259-1265; DOI: https://doi.org/10.3174/ajnr.A4272
D.N. Manners
aFrom the Functional MR Unit (D.N.M., G.R., C.Tonon, C.Testa, R.L.)
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G. Rizzo
aFrom the Functional MR Unit (D.N.M., G.R., C.Tonon, C.Testa, R.L.)
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
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C. La Morgia
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
d“Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna” (C.L.M., M.L.V., L.C., D.S., V.C.), Bologna, Italy
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C. Tonon
aFrom the Functional MR Unit (D.N.M., G.R., C.Tonon, C.Testa, R.L.)
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C. Testa
aFrom the Functional MR Unit (D.N.M., G.R., C.Tonon, C.Testa, R.L.)
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P. Barboni
eStudio Oculistico d'Azeglio (P.B.), Bologna, Italy.
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E. Malucelli
cDepartment of Pharmacy and Biotechnology (E.M.), University of Bologna, Bologna, Italy
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M.L. Valentino
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
d“Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna” (C.L.M., M.L.V., L.C., D.S., V.C.), Bologna, Italy
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L. Caporali
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
d“Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna” (C.L.M., M.L.V., L.C., D.S., V.C.), Bologna, Italy
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D. Strobbe
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
d“Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna” (C.L.M., M.L.V., L.C., D.S., V.C.), Bologna, Italy
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V. Carelli
bNeurology Unit (G.R., C.L.M., M.L.V., L.C., D.S., V.C.), Department of Biomedical and NeuroMotor Sciences
d“Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna” (C.L.M., M.L.V., L.C., D.S., V.C.), Bologna, Italy
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R. Lodi
aFrom the Functional MR Unit (D.N.M., G.R., C.Tonon, C.Testa, R.L.)
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Abstract

BACKGROUND AND PURPOSE: Brain white matter is frequently affected in mitochondrial diseases; optic atrophy gene 1-autosomal dominant optic atrophy and Leber hereditary optic neuropathy are the most frequent mitochondrial monosymptomatic optic neuropathies. In this observational study, brain white matter microstructure was characterized by DTI in patients with optic atrophy gene 1-autosomal dominant optic atrophy and Leber hereditary optic neuropathy, in relation to clinical and genetic features.

MATERIALS AND METHODS: Nineteen patients with optic atrophy gene 1-autosomal dominant optic atrophy and 17 with Leber hereditary optic neuropathy older than 18 years of age, all genetically diagnosed, and 19 healthy volunteers underwent DTI by using a 1.5T MR imaging scanner and neurologic and ophthalmologic assessments. Brain white matter DTI metrics were calculated for all participants, and, in patients, their correlations with genetics and clinical findings were calculated.

RESULTS: Compared with controls, patients with optic atrophy gene 1-autosomal dominant optic atrophy had an increased mean diffusivity in 29.2% of voxels analyzed within major white matter tracts distributed throughout the brain, while fractional anisotropy was reduced in 30.3% of voxels. For patients with Leber hereditary optic neuropathy, the proportion of altered voxels was only 0.5% and 5.5%, respectively, of which half was found within the optic radiation and 3.5%, in the smaller acoustic radiation. In almost all regions, fractional anisotropy diminished with age in patients with optic atrophy gene 1-autosomal dominant optic atrophy and correlated with average retinal nerve fiber layer thickness in several areas. Mean diffusivity increased in those with a missense mutation. Patients with Leber hereditary optic neuropathy taking idebenone had slightly milder changes.

CONCLUSIONS: Patients with Leber hereditary optic neuropathy had preferential involvement of the optic and acoustic radiations, consistent with trans-synaptic degeneration, whereas patients with optic atrophy gene 1-autosomal dominant optic atrophy presented with widespread involvement suggestive of a multisystemic, possibly a congenital/developmental, disorder. White matter changes in Leber hereditary optic neuropathy and optic atrophy gene 1-autosomal dominant optic atrophy may be exploitable as biomarkers.

ABBREVIATIONS:

DOA
autosomal dominant optic atrophy
FA
fractional anisotropy
LHON
Leber hereditary optic neuropathy
MD
mean diffusivity
OPA1
optic atrophy gene 1
OR
optic radiation
RNFL
retinal nerve fiber layer
TBSS
tract-based spatial statistics

Mutations in optic atrophy gene 1 are the main cause of autosomal dominant optic atrophy (DOA) (Online Mendelian Inheritance in Man 605290).1,2 DOA is characterized clinically by insidiously progressive visual loss in childhood, centrocecal scotoma, dyschromatopsia, and temporal or diffuse pallor of the optic discs, due to selective loss of retinal ganglion cells leading to atrophy of the optic nerve.1,2 Similarly, Leber hereditary optic neuropathy (LHON) (Online Mendelian Inheritance in Man 535000) is characterized by subacute loss of central vision, dyschromatopsia, and optic atrophy due to maternally inherited point mutations in mitochondrial DNA that affect respiratory complex I.1,2

DOA and LHON represent the so-called nonsyndromic mitochondrial optic neuropathies, characterized by optic nerve atrophy as the only or at least prevalent pathologic feature with an early and preferential involvement of the small fibers in the papillomacular bundle.3,4 Recent MR imaging studies by using voxel-based morphometry,5 DWI,6 and DTI7 have also indicated abnormalities of the optic radiation in patients with LHON, confirmed by postmortem investigation,6 suggesting a trans-synaptic degeneration. A similar secondary involvement of the retrogeniculate visual pathway could also be hypothesized in patients with DOA. Furthermore, given that the optic atrophy gene 1 (OPA1) is highly expressed in the retina but also in the brain1,2,8 and that a subgroup of patients with specific OPA1 mutations have a multisystem neurologic disorder,9 it is reasonable to also hypothesize a subclinical extravisual brain involvement in patients with OPA1-DOA.

The aim of the present study was to investigate the brain white matter of patients with OPA1-DOA compared with those with LHON and healthy controls, by using a voxelwise analysis of DTI, which can disclose abnormal water diffusivity in brain areas where atrophy and/or gliosis occur,10 to look for subtle structural alterations.

Materials and Methods

Subjects

Between October 2008 and May 2012, 19 adult patients with a definite diagnosis of OPA1-DOA and 17 adult patients with LHON were recruited for DTI evaluation. Inclusion criteria were 18 years of age and older, absence of white matter abnormalities as reported by previous conventional MR imaging, and availability of a genetic diagnosis. In addition, 19 control subjects with similar demographic characteristics were recruited within the same period. The characteristics of these cohorts are reported in and On-line Tables 1 and 2. All subjects gave written informed consent, and the local institutional review board approved the study.

MR Imaging Acquisition

Each subject underwent MR imaging examination by using a 1.5T Signa HDx scanner (GE Healthcare, Milwaukee, Wisconsin), with a protocol that included the following sequences: T2-weighted FLAIR (TR/TE/TI, 8000/85/2000 ms; axial FOV, 24 cm; 256 × 256 in-plane resolution; 3-mm sections); T2-weighted FSE (TR, 5.6–6.5 seconds; TE, 107 ms; coronal FOV, 24 cm; 256 × 256 in-plane resolution; 4-mm sections); T1-weighted volumetric imaging (fast-spoiled gradient recalled imaging; TR/TE, 12.3/5.2 ms; 1-mm isotropic resolution); DTI (TR/TE, 10,000/82 ms; 7 + 64 acquisitions with noncollinear field gradients; b-value = 0 or 900 s mm−2; axial oblique FOV, 32 cm; 128 × 128 in-plane resolution; 3-mm sections). Conventional images were evaluated to confirm the absence of white matter lesions. None of the subjects studied showed evidence of such abnormalities.

DTI Data Processing

Following affine registration of all volumes to the first (by using eddy_correct; fMRI of the Brain Software Library[FSL]; http://www.fmrib.ox.ac.uk/fsl) to account for eddy current effects and subject motion, DTI data were processed to provide voxelwise estimates of tensor parameters, including mean diffusivity (MD) and fractional anisotropy (FA). FA and MD volumes from each subject were rigidly aligned to a standard template by using the fMRI of the Brain Linear Image Registration Tool (FLIRT; http://www.fmrib.ox.ac.uk) with 6 df. FA and MD volumes were jointly registered by nonlinear deformation (Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra Toolbox, SPM8; http://www.fil.ion.ucl.ac.uk/spm/software/spm8) to a study-specific template generated by using data from all study participants. Major white matter tracts were identified by using the tract-based spatial statistics (TBSS) procedure (in FSL), by using high-diffusion anisotropy as a marker of uniform fiber orientation, with an FA threshold of 0.2.

DTI Statistical Analysis

The focus of the statistical analysis was to identify areas showing altered white matter compared with the control group and relate such alterations to relevant clinical and genetic factors. Nonparametric statistical inference was performed on the basis of a generalized linear model framework (by using Randomize; http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/randomize, with cluster-free enhancement),11 yielding voxelwise probability estimates, adjusted by controlling the family-wise error rate. After intermediate processing, described above, DTI data were analyzed in 2 stages. In the first stage, group differences between each patient group and controls were assessed (for voxels within the TBSS mask) by using a single-sided t test. We assumed that MD should increase and FA, decrease in patients compared with controls on the basis of previous observations of degenerative brain disease.12 Voxels showing a difference at P < .05 after family-wise error correction were deemed significantly altered. To reduce the possible confounding effect of demographic factors, we embedded the t test in an ANCOVA-type analysis, first with age and sex as covariates, and repeated it with a history of idebenone therapy as a potential additional confounder. Because 3 patients with OPA1-DOA (patients 4, 6, and 7; On-line Table 1) presented with an arguably distinct pathology, we reran the analysis, placing these participants in a separate group, to exclude the possibility that they alone were driving any possible group differences between OPA1-DOA and healthy control groups.

To summarize findings, we classified voxels within the TBSS white matter skeleton as belonging to the optic radiation (OR) or to other white matter bundles, by using standard FSL brain atlases,13⇓–15 and checked them by back-projecting the resulting labels onto the original individual FA images, to guard against possible tract misidentification.16 The number of significantly abnormal OR voxels is also reported as a fraction of all abnormal voxels.

We assumed that given the relatively low sensitivity of (appropriately corrected) voxel-based statistical analysis, correlations between altered tissue microstructure and underlying causative variables might be apparent in the patient groups, even in regions not showing significant differences from healthy controls. Hence, in parallel, exploratory regression analysis was performed for FA and MD for all voxels within the previously identified major white matter tracts, against clinical and genetic factors with a known or putative importance in determining the phenotype of the pathology under consideration. Results were not corrected for multiple comparisons beyond voxelwise family-wise error correction.

For both patient groups, subject age, estimated age at onset of symptoms, and disease duration were considered. In addition, a regression on control subject age was performed as a baseline check. Indicators of visual system involvement in disease progression, visual acuity, and retinal nerve fiber layer (RNFL) thickness assessed by optical coherence tomography17—specifically the average and temporal quadrant RNFL thickness—were used to perform a linear regression.

Categoric factors potentially modifying disease natural history were identified and analyzed by using a t test. These were the mitochondrial DNA haplogroup and a history of idebenone therapy.

OPA1 mutations were grouped as either missense or haploinsufficiency on the basis of their pathogenic mechanism and under the hypothesis that the haploinsufficiency mutations would result in a less severe disease phenotype.9 For patients with LHON only, the history of visual recovery was considered as an additional factor for a subgroup t test.

Results

Most patients with LHON had the 11778 ND4 mutation (13 of 17), whereas 17 different OPA1 mutations were found among the patients with OPA1-DOA (On-line Table 1). Data regarding the mitochondrial DNA haplogroup, a potential modifying factor in either disorder, were also available for patients and showed the expected variation in a population of European descent, with preponderant occurrence of the most common haplogroup H (On-line Table 1). Three patients with OPA1-DOA had extravisual symptoms (patients 4, 6, and 7; On-line Table 1) and were classified as “plus.” Eleven patients with LHON and 9 patients with OPA1-DOA were administered idebenone (270–675 mg/day) (On-line Table 1). Data on visual acuity and RNFL thickness were available for almost all patients, though with variable timing with respect to the scan, and are presented in On-line Table 2.

In total, the white matter skeleton generated by TBSS covered 132,617 voxels, of which 12% were estimated as belonging to the OR; 1.9%, to the acoustic radiation; and the remainder, to other white matter bundles.

Group Comparisons

Patients with OPA1-DOA and LHON showed significant increases in white matter MD and decreases in FA compared with controls (Table 1). For both patient groups, FA was the more severely affected in almost all areas. The number of voxels with a significant difference in terms of diffusivity parameters was considerably higher in patients with OPA1-DOA than in those with LHON. Furthermore, in the patients with LHON, half of these voxels were within the OR and the other half were within other white matter areas, in which the acoustic radiation was the most consistent, affected bilaterally (3.5% of all affected voxels, for FA), while the remainder included the superior corona radiata, superior longitudinal fasciculus, and medial corpus callosum only in the right side (Figs 1 and 2A, -C). The results were different in patients with OPA1-DOA, given that only one-fifth of the voxels affected belonged to the OR, while most were distributed evenly throughout the whole white matter, including several areas not involved in patients with LHON and involving almost all bundles within the supratentorial and infratentorial compartments (Figs 1 and 2B, -D). On-line Figs 1–6 show the complete set of results for both groups.

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Table 1:

Significant results of a t test for comparison of DTI parameters between patients and controls

Fig 1.
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Fig 1.

The number of significantly abnormal OR voxels as a proportion of all abnormal voxels in patients with LHON and OPA1-dominant optic atrophy.

Fig 2.
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Fig 2.

Representative axial sections are shown on the white matter tract skeleton (in green) projected onto the mean FA and MD maps. Voxels showing significant differences between patients and controls (corrected P < .05) are shown in a red-yellow scale. A, LHON FA < control FA: bilateral optic and acoustic radiation and right superior corona radiata, superior longitudinal fasciculus, and middle corpus callosum were significant. B, OPA1-DOA FA < control FA: widespread reduction of FA involving almost all white matter bundles was present. C and D, Patient MD > control MD: increased MD was found in the same areas where FA was reduced, though to a lesser extent, in both groups of patients. Complete results in both groups of patients are shown in On-line Figs 1–6.

For the comparison of patients with LHON and controls, the inclusion of treatment with idebenone as a covariate increased the number of affected voxels (by 45% for FA and 175% for MD, dispersed both within and beyond the OR), while for those with OPA1-DOA compared with controls, there was essentially no change (−1.7% and 0.9%, respectively).

If we excluded the patients with OPA1 “plus” (with nonvisual symptoms) from the analysis, the decrease in FA and increase in MD remained in about half the voxels that were altered for the whole group of patients with OPA1-DOA compared with controls (Table 1). The proportion of altered voxels outside the OR remained similar (Fig 1). FA values were lower for “plus” compared with nonsyndromic patients at the level of the right internal and external capsules, left OR, and splenium of corpus callosum bilaterally.

Regression Analysis

Exploratory regression analyses are summarized in Table 2 and revealed a highly significant reduction in FA with age in patients with OPA1-DOA in almost all of the areas considered. The regression of FA on subject age for the control group was negative, strengthening the likelihood that the positive finding for patients with OPA1-DOA was group-specific. MD was higher in patients with OPA1-DOA with a missense mutation compared with those with haploinsufficiency mutations (mean WM skeleton value, 0.815 ± 0.229 versus 0.741 ± 0.170 × 10−3mm2 s−1), and again this finding was true of the OR and almost all other WM areas. In addition, FA values directly correlated with average RNFL thickness in several areas, mostly within the OR, optic tract, internal and external capsules, and corona radiata bilaterally. A trend toward higher MD values (P = .05, corrected) was evident in patients with OPA1-DOA with worse visual acuity, at the level of the anterior cingulum, genu of corpus callosum, and prefrontal WM of the left side. Other trends (.05 < P < .07, corrected) were disclosed in patients with OPA1-DOA. Specifically, disease duration was diffusely and inversely correlated with FA values (prevalent in the right hemisphere); finally, FA values in the genu of corpus callosum were higher in patients taking idebenone compared with untreated patients (mean corpus callosum WM skeleton value, 0.745 ± 0.087 versus 0.618 ± 0.136).

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Table 2:

Significant results of analyses of DTI parameters for patient groups

Considering patients with LHON, the only significant regression analysis was for idebenone therapy, showing that patients taking idebenone had lower MD values within the anterior cingulum (0.750 ± 0.035 versus 0.773 ± 0.039), genu of corpus callosum (0.784 ± 0.071 versus 0.814 ± 0.058), olfactory tracts bilaterally (0.750 ± 0.120 versus 0.769 ± 0.095), and in the left prefrontal WM (0.728 ± 0.053 versus 0.740 ± 0.045) compared with untreated patients. No other regression analysis yielded positive results.

Discussion

In this study, we evaluated the integrity of brain WM in patients with mitochondrial optic neuropathies, by using a voxelwise analysis of DTI, demonstrating that in both LHON and OPA1-DOA, there are pathologic changes, but with a different distribution. Patients with LHON showed abnormal diffusion mainly in the bilateral OR, with some involvement of the acoustic radiation and a few other areas. In contrast, patients with OPA1-DOA showed changes not only in the OR but also throughout much of the white matter, indicating a widespread pathology affecting the central nervous system.

The involvement of the OR in patients with LHON confirms and extends the results of recent imaging studies,5⇓–7 suggesting the probable trans-synaptic nature of this impairment. This interpretation was supported by a postmortem investigation in 1 case of LHON, detecting atrophy (40%–45% decrease of neuron soma size) and, to a lesser extent, degeneration (approximately a 28% decrease of neuron attenuation) in the lateral geniculate nucleus, in contrast to the extremely severe axonal loss (99%) in the optic nerve.6 In one of these imaging studies, the reduced attenuation of the OR detected by voxel-based morphometry analysis correlated with the average and temporal RNFL thickness.5 This correlation was not apparent in the previous DTI study on the same patients7 or in our study, though missing ophthalmologic data for a few patients and the variable timing with respect to the scan could have affected our regression analysis.

Our results also demonstrate the bilateral involvement of the acoustic radiation in patients with LHON, a finding not apparent in previous studies in which whole-brain analysis was performed. The presence of auditory dysfunction in LHON had been studied in the past, with conflicting results. An early study found auditory brain stem–evoked potential abnormalities in 7 of 11 patients,18 and subsequently 2 cases of LHON with auditory neuropathy were reported.19 A further study on a sample of 10 patients found no evidence of auditory neural abnormalities,20 while a more recent study on 48 subjects carrying a LHON mutation disclosed that >25% of both symptomatic and asymptomatic participants showed electrophysiologic evidence of auditory neuropathy with either absent or severely delayed auditory brain stem potentials.21 Our current results of white matter changes in the auditory radiation may represent the auditory counterpart of the trans-synaptic degeneration attributable to the OR.

Furthermore, we have found some other brain diffusion changes in LHON at the level of the right superior corona radiata, superior longitudinal fasciculus, and medial corpus callosum. These results are more difficult to interpret but may indicate a microscopic and diffuse, though variable, white matter pathology associated with the primary mitochondrial impairment. This was previously suggested by older studies using phosphorus MR spectroscopy to show bioenergetic dysfunction in the occipital lobes22 and mild abnormalities of the whole normal-appearing white matter using histogram analysis of magnetization transfer imaging and DWI.23 These findings may also relate to the occasional co-occurrence of a multiple sclerosis–like illness in patients with LHON,24 in which an autoimmune process could be triggered by the release of immunogenic material due to myelin damage caused by mitochondrial dysfunction in the presence of a specific predisposition.25

Most interesting, in patients with LHON treated with idebenone, the MD values within the anterior cingulum, genu of corpus callosum, olfactory tracts bilaterally, and left prefrontal WM were lower compared with untreated patients. Conversely, patient-control differences were more readily apparent when idebenone treatment was included as a confounding factor. Although this result should be considered with caution, it is compatible with previous clinical evidence of the partial efficacy of idebenone treatment in LHON.26,27

However, the most interesting findings of the current study concern our results in OPA1-DOA, to our knowledge the first for this patient group based on DTI. We found widespread WM diffusivity changes without a clear prevalence in a specific pathway. This finding implies that besides trans-synaptic degeneration, there is also a primary WM pathology involving multiple brain systems, a finding in close agreement with the mounting clinical evidence that subjects carrying OPA1 mutations may have a multisystem neurologic disease (DOA “plus”), including sensorineural deafness, ataxia, sensory-motor polyneuropathy, chronic progressive external ophthalmoplegia, and mitochondrial myopathy,9,28,29 in addition to optic atrophy. Other reported clinical presentations may include spastic paraparesis mimicking hereditary spastic paraplegia,9 multiple sclerosis–like illness,9,30 cervical dystonia,31 and even a multisystemic disorder in the absence of optic atrophy.32 Furthermore, patients with “pure” optic atrophy may have evidence of subclinical corticospinal tract involvement as shown by electrophysiologic evaluation.33 All these observations fit well with our finding of subclinical impairment of several white matter pathways, which correlates with optic atrophy, as quantified by the average RNFL thickness. These observations are consistent with white matter sensitivity to mitochondrial dysfunction.1,25 In particular, complex I deficiency, as obviously occurring in LHON and also demonstrated in OPA1-DOA with haploinsufficiency,34 is frequently associated with leukoencephalopathy or other white matter pathology.35 Most interesting, recent studies propose that myelin itself has an autonomous respiratory activity, thus linking white matter integrity to defective oxidative phosphorylation.36

An interesting and strong correlation was found between diffusivity parameters and age for patients with OPA1-DOA, but not for those with LHON or healthy controls, suggesting a disease-specific association. The absence of a correlation with “apparent” disease duration (.05 < P < .07 in the same areas) and the difficulty of accurately defining the onset of this insidious disease in clinical practice suggest that OPA1-DOA may be a congenital disease. Indeed, it has been shown that patients have a significantly smaller optic nerve head compared with controls, leading to the hypothesis of a developmental disorder.37 In addition, the role of the OPA1 protein in controlling apoptosis is well-documented,38,39 and it may be postulated that OPA1 mutations alter the pattern of developmental apoptosis during embryonic stages leading to a congenital “weakness” of the optic nerve and other brain structures.

Almost all WM areas in patients with OPA1-DOA had higher MD values in the presence of a missense mutation compared with those predicted to lead to haploinsufficiency. This finding is not surprising because the occurrence of clinical multisystem neurologic disease, though associated with all mutational subtypes, has been reported to be increased 3-fold with missense mutations.9 The 3 patients with DOA “plus” tended to have greater pathologic changes compared with nonsyndromic patients, both within and beyond the OR. The findings regarding the effect of idebenone treatment are inconclusive but give limited support to previous preliminary clinical results showing a slight improvement of visual function in patients with DOA after idebenone therapy.40

Conclusions

Voxelwise analysis of DTI was used to evaluate brain WM integrity in patients with LHON and, for the first time, in patients with OPA1-DOA, with clear-cut differences between the 2 disorders. Patients with LHON presented with a preferential involvement of the optic and acoustic radiations, possibly due to trans-synaptic degeneration. Patients with OPA1-DOA presented with a widespread WM involvement, supporting the view of OPA1-associated disorders as a multisystemic disease, not merely limited to the optic nerve. The strong and specific correlation between diffusivity abnormalities and the age of these patients also supports the hypothesis of a congenital and developmental disorder, an issue that will require further investigation. Finally, our study shows that DTI can evaluate white matter integrity in mitochondrial optic neuropathies and may yield useful surrogate biomarkers of disease severity and progression, to evaluate therapeutic efficacy in these mitochondrial optic neuropathies.

Footnotes

  • D.N. Manners and G. Rizzo contributed equally to this work.

  • Disclosures: David N. Manners—OTHER RELATIONSHIPS: The study was financially supported in part by Telethon-Italy grants GGP06233 and GPP10005 and by E-RARE project ERMION (European Research project on Mendelian Inherited Optic Neuropathies): 01GM1006. The funding organizations played no part in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or in the preparation, review, or approval of the manuscript. Valerio Carelli—RELATED: Grant: Telethon Italy grants GGP06233 and GPP10005,* and E-RARE project ERMION: 01GM1006,* Comments: grants to Valerio Carelli for research on inherited optic neuropathies; UNRELATED: Grants/Grants Pending: Program ER-MITO from the Italian region Emilia Romagna, Comments: This is a Program Project for epidemiology on mitochondrial diseases in the Italian region Emilia Romagna; OTHER RELATIONSHIPS: currently involved in clinical trials with EPI-743 (α-tocotrienol quinone) in Leber hereditary optic neuropathy (Edison Pharmaceuticals, Mountain View, California) and with l-acetyl carnitine in Leber hereditary optic neuropathy (Sigma-Tau, Italy). *Money paid to the institution.

  • The work was financially supported, in part, by Telethon-Italy grants GGP06233 and GPP10005 and the E-RARE project ERMION: 01GM1006. The funding organizations played no part in the design or conduct of the study; collection, management, analysis, or interpretation of the data; or in the preparation, review, or approval of the article.

Indicates open access to non-subscribers at www.ajnr.org

REFERENCES

  1. 1.↵
    1. Carelli V,
    2. Ross-Cisneros FN,
    3. Sadun AA
    . Mitochondrial dysfunction as a cause of optic neuropathies. Prog Retin Eye Res 2004;23:53–89
    CrossRefPubMed
  2. 2.↵
    1. Yu-Wai-Man P,
    2. Griffiths PG,
    3. Chinnery PF
    . Mitochondrial optic neuropathies: disease mechanisms and therapeutic strategies. Prog Retin Eye Res 2011;30:81–114
    CrossRefPubMed
  3. 3.↵
    1. Sadun AA,
    2. Win PH,
    3. Ross-Cisneros FN, et al
    . Leber's hereditary optic neuropathy differentially affects smaller axons in the optic nerve. Trans Am Ophthalmol Soc 2000;98:223–32
    PubMed
  4. 4.↵
    1. Pan BX,
    2. Ross-Cisneros FN,
    3. Carelli V, et al
    . Mathematically modeling the involvement of axons in Leber's hereditary optic neuropathy. Invest Ophthalmol Vis Sci 2012;53:7608–17
    Abstract/FREE Full Text
  5. 5.↵
    1. Barcella V,
    2. Rocca MA,
    3. Bianchi-Marzoli S, et al
    . Evidence for retrochiasmatic tissue loss in Leber's hereditary optic neuropathy. Hum Brain Mapp 2010;31:1900–06
    CrossRefPubMed
  6. 6.↵
    1. Rizzo G,
    2. Tozer KR,
    3. Tonon C, et al
    . Secondary post-geniculate involvement in Leber's hereditary optic neuropathy. PLoS One 2012;7:e50230
    CrossRefPubMed
  7. 7.↵
    1. Milesi J,
    2. Rocca MA,
    3. Bianchi-Marzoli S, et al
    . Patterns of white matter diffusivity abnormalities in Leber's hereditary optic neuropathy: a tract-based spatial statistics study. J Neurol 2012;259:1801–07
    CrossRefPubMed
  8. 8.↵
    1. Bette S,
    2. Schlaszus H,
    3. Wissinger B, et al
    . OPA1, associated with autosomal dominant optic atrophy, is widely expressed in the human brain. Acta Neuropathol 2005;109:393–99
    CrossRefPubMed
  9. 9.↵
    1. Yu-Wai-Man P,
    2. Griffiths PG,
    3. Gorman GS, et al
    . Multi-system neurological disease is common in patients with OPA1 mutations. Brain 2010;133:771–86
    Abstract/FREE Full Text
  10. 10.↵
    1. Pierpaoli C,
    2. Jezzard P,
    3. Basser PJ, et al
    . Diffusion tensor MR imaging of the human brain. Radiology 1996;201:637–48
    CrossRefPubMed
  11. 11.↵
    1. Winkler A,
    2. Ridgway G,
    3. Webster M, et al
    . Permutation inference for the general linear model. Neuroimage 2014;92:381–97
    CrossRefPubMed
  12. 12.↵
    1. Nucifora PG,
    2. Verma R,
    3. Lee SK, et al
    . Diffusion-tensor MR imaging and tractography: exploring brain microstructure and connectivity. Radiology 2007;245:367–84
    CrossRefPubMed
  13. 13.↵
    1. Mori S,
    2. Wakana S,
    3. van Zijl PC, et al
    . MRI Atlas of Human White Matter. Amsterdam: Elsevier; 2005
  14. 14.↵
    1. Hua K,
    2. Zhang J,
    3. Wakana S, et al
    . Tract probability maps in stereotaxic spaces: analyses of white matter anatomy and tract-specific quantification. Neuroimage 2008;39:336–47
    CrossRefPubMed
  15. 15.↵
    1. Eickhoff SB,
    2. Stephan KE,
    3. Mohlberg H, et al
    . A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. Neuroimage 2005;25:1325–35
    CrossRefPubMed
  16. 16.↵
    1. Bach M,
    2. Laun FB,
    3. Leemans A, et al
    . Methodological considerations on tract-based spatial statistics (TBSS). Neuroimage 2014;100:358–69
    CrossRefPubMed
  17. 17.↵
    1. Barboni P,
    2. Savini G,
    3. Parisi V, et al
    . Retinal nerve fiber layer thickness in dominant optic atrophy measurements by optical coherence tomography and correlation with age. Ophthalmology 2011;118:2076–80
    CrossRefPubMed
  18. 18.↵
    1. Mondelli M,
    2. Rossi A,
    3. Scarpini C, et al
    . BAEP changes in Leber's hereditary optic neuropathy—further confirmation of multisystem involvement. Acta Neurol Scand 1990;81:349–53
    PubMed
  19. 19.↵
    1. Ceranić B,
    2. Luxon LM
    . Progressive auditory neuropathy in patients with Leber's hereditary optic neuropathy. J Neurol Neurosurg Psychiatry 2004;75:626–30
    Abstract/FREE Full Text
  20. 20.↵
    1. Yu-Wai-Man P,
    2. Elliot C,
    3. Griffiths PG, et al
    . Investigation of auditory dysfunction in Leber hereditary optic neuropathy. Acta Ophthalmol 2008;86:630–33
    CrossRefPubMed
  21. 21.↵
    1. Rance G,
    2. Kearns LS,
    3. Tan J, et al
    . Auditory function in individuals within Leber's hereditary optic neuropathy pedigrees. J Neurol 2012;259:542–50
    CrossRefPubMed
  22. 22.↵
    1. Cortelli P,
    2. Montagna P,
    3. Avoni P, et al
    . Leber's hereditary optic neuropathy: genetic, biochemical, and phosphorus magnetic resonance spectroscopy study in an Italian family. Neurology 1991;41:1211–15
    CrossRefPubMed
  23. 23.↵
    1. Inglese M,
    2. Rovaris M,
    3. Bianchi S, et al
    . Magnetic resonance imaging, magnetisation transfer imaging, and diffusion weighted imaging correlates of optic nerve, brain, and cervical cord damage in Leber's hereditary optic neuropathy. J Neurol Neurosurg Psychiatry 2001;70:444–49
    Abstract/FREE Full Text
  24. 24.↵
    1. Harding AE,
    2. Sweeney MG,
    3. Miller DH, et al
    . Occurrence of a multiple sclerosis-like illness in women who have a Leber's hereditary optic neuropathy mitochondrial DNA mutation. Brain 1992;115:979–89
    Abstract/FREE Full Text
  25. 25.↵
    1. Carelli V,
    2. Bellan M
    . Myelin, mitochondria, and autoimmunity: what's the connection? Neurology 2008;70:1075–76
    CrossRefPubMed
  26. 26.↵
    1. Klopstock T,
    2. Yu-Wai-Man P,
    3. Dimitriadis K, et al
    . A randomized placebo-controlled trial of idebenone in Leber's hereditary optic neuropathy. Brain 2011;134:2677–86
    Abstract/FREE Full Text
  27. 27.↵
    1. Carelli V,
    2. La Morgia C,
    3. Valentino ML, et al
    . Idebenone treatment in Leber's hereditary optic neuropathy. Brain 2011;134:e188
    FREE Full Text
  28. 28.↵
    1. Hudson G,
    2. Amati-Bonneau P,
    3. Blakely EL, et al
    . Mutation of OPA1 causes dominant optic atrophy with external ophthalmoplegia, ataxia, deafness and multiple mitochondrial DNA deletions: a novel disorder of mtDNA maintenance. Brain 2008;131:329–37
    Abstract/FREE Full Text
  29. 29.↵
    1. Amati-Bonneau P,
    2. Valentino ML,
    3. Reynier P, et al
    . OPA1 mutations induce mitochondrial DNA instability and optic atrophy ‘plus’ phenotypes. Brain 2008;131:338–51
    Abstract/FREE Full Text
  30. 30.↵
    1. Verny C,
    2. Loiseau D,
    3. Scherer C, et al
    . Multiple sclerosis-like disorder in OPA1-related autosomal dominant optic atrophy. Neurology 2008;70:1152–53
    CrossRefPubMed
  31. 31.↵
    1. Liskova P,
    2. Ulmanova O,
    3. Tesina P, et al
    . Novel OPA1 missense mutation in a family with optic atrophy and severe widespread neurological disorder. Acta Ophthalmol 2013;91:e225–31
    CrossRef
  32. 32.↵
    1. Milone M,
    2. Younge BR,
    3. Wang J, et al
    . Mitochondrial disorder with OPA1 mutation lacking optic atrophy. Mitochondrion 2009;9:279–81
    CrossRefPubMed
  33. 33.↵
    1. Baker MR,
    2. Fisher KM,
    3. Whittaker RG, et al
    . Subclinical multisystem neurologic disease in “pure” OPA1 autosomal dominant optic atrophy. Neurology 2011;77:1309–12
    CrossRefPubMed
  34. 34.↵
    1. Zanna C,
    2. Ghelli A,
    3. Porcelli AM, et al
    . OPA1 mutations associated with dominant optic atrophy impair oxidative phosphorylation and mitochondrial fusion. Brain 2008;131:352–67
    Abstract/FREE Full Text
  35. 35.↵
    1. Koene S,
    2. Rodenburg RJ,
    3. van der Knaap MS, et al
    . Natural disease course and genotype-phenotype correlations in complex I deficiency caused by nuclear gene defects: what we learned from 130 cases. J Inherit Metab Dis 2012;35:737–47
    CrossRefPubMed
  36. 36.↵
    1. Morelli A,
    2. Ravera S,
    3. Panfoli I
    . Hypothesis of an energetic function for myelin. Cell Biochem Biophys 2011;61:179–87
    CrossRefPubMed
  37. 37.↵
    1. Barboni P,
    2. Carbonelli M,
    3. Savini G, et al
    . OPA1 mutations associated with dominant optic atrophy influence optic nerve head size. Ophthalmology 2010;117:1547–53
    CrossRefPubMed
  38. 38.↵
    1. Frezza C,
    2. Cipolat S,
    3. Martins de Brito O, et al
    . OPA1 controls apoptotic cristae remodeling independently from mitochondrial fusion. Cell 2006;126:177–89
    CrossRefPubMed
  39. 39.↵
    1. Cipolat S,
    2. Rudka T,
    3. Hartmann D, et al
    . Mitochondrial rhomboid PARL regulates cytochrome c release during apoptosis via OPA1-dependent cristae remodeling. Cell 2006;126:163–75
    CrossRefPubMed
  40. 40.↵
    1. Barboni P,
    2. Valentino ML,
    3. La Morgia C, et al
    . Idebenone treatment in patients with OPA1-mutant dominant optic atrophy. Brain 2013;136:e231
    FREE Full Text
  • Received October 2, 2014.
  • Accepted after revision December 5, 2014.
  • © 2015 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 36 (7)
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Diffusion Tensor Imaging Mapping of Brain White Matter Pathology in Mitochondrial Optic Neuropathies
D.N. Manners, G. Rizzo, C. La Morgia, C. Tonon, C. Testa, P. Barboni, E. Malucelli, M.L. Valentino, L. Caporali, D. Strobbe, V. Carelli, R. Lodi
American Journal of Neuroradiology Jul 2015, 36 (7) 1259-1265; DOI: 10.3174/ajnr.A4272

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Diffusion Tensor Imaging Mapping of Brain White Matter Pathology in Mitochondrial Optic Neuropathies
D.N. Manners, G. Rizzo, C. La Morgia, C. Tonon, C. Testa, P. Barboni, E. Malucelli, M.L. Valentino, L. Caporali, D. Strobbe, V. Carelli, R. Lodi
American Journal of Neuroradiology Jul 2015, 36 (7) 1259-1265; DOI: 10.3174/ajnr.A4272
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