INTRODUCTION
X-linked Charcot-Marie-Tooth disease (CMTX), a hereditary sensorimotor neuropathy, is caused by mutations in GJB1 coding for connexin-32 (Cx-32). Cx-32 is a gap-junction protein expressed in peripheral Schwann cells, but also found in oligodendrocytes within the central nervous system (CNS) (Scherer & Kleopa, Reference Scherer and Kleopa2012).
CMTX constitutes around 7–15% of all CMTs, which is one of the commonest inherited neuromuscular diseases, with an overall population prevalence of around 1 in 2500 (Rossor, Polke, Houlden, & Reilly, Reference Rossor, Polke, Houlden and Reilly2013; Wang & Yin, Reference Wang and Yin2016). In the Greek population, CMTX has been estimated at around 5% of CMT (Karadima, Floroskufi, Koutsis, Vassilopoulos, & Panas, Reference Karadima, Floroskufi, Koutsis, Vassilopoulos and Panas2011). The overall prevalence of CMTX in Greece can, therefore, be estimated at around 2 in 100,000.
Several reports have identified CMTX patients with CNS involvement that can range from a transient encephalopathy to asymptomatic white matter abnormalities on brain MRI. Studies presenting MRI findings of individual patients have revealed subcortical white matter involvement, either transient and more severe in concomitance with CNS symptoms, or permanent and milder during asymptomatic periods. White matter involvement has often shown a predilection for posterior subcortical regions, usually involving the splenium of the corpus callosum (Karadima et al., Reference Karadima, Koutsis, Raftopoulou, Floroskufi, Karletidi and Panas2014; Panas, Kalfakis, Karadimas, & Vassilopoulos, Reference Panas, Kalfakis, Karadimas and Vassilopoulos2001; Paulson et al., Reference Paulson, Garbern, Hoban, Krajewski, Lewis, Fischbeck, Grossman, Lenkinski, Kamholz and Shy2002). A recent case series of CMTX patients that looked at brain MRI findings in a more systematic fashion identified hyperintensity in the splenium of the corpus callosum in >50% of cases, significantly higher compared to controls (Koutsis et al., Reference Koutsis, Breza, Velonakis, Tzartos, Kasselimis, Kartanou, Karavasilis, Tzanetakos, Anagnostouli, Andreadou, Evangelopoulos, Kilidireas, Potagas, Panas and Karadima2019). Additionally, a recent systematic study of diffusion tensor imaging (DTI) in CMT revealed characteristic brain DTI abnormalities in patients with CMTX most prominent posteriorly and in the corpus callosum (Lee et al., Reference Lee, Park, Chung, Kim, Choi, Yoo, Yoon, Hong, Chung, Choi and Lee2017). Such anatomical abnormalities are expected to reflect on cognitive functions, given the established role of commissural fibers such as the corpus callosum on cognition (Hinkley et al., Reference Hinkley, Marco, Findlay, Honma, Jeremy, Strominger, Bukshpun, Wakahiro, Brown, Paul, Barkovich, Mukherjee, Nagarajan and Sherr2012; Zahr, Rohlfing, Pfefferbaum, & Sullivan, Reference Zahr, Rohlfing, Pfefferbaum and Sullivan2009). Callosal fibers are known to be involved in cognition, in the sense that they allow interhemispheric connections, which support bilateral information processing, especially during highly demanding tasks. A plethora of studies provides evidence in favor of the involvement of the corpus callosum in several cognitive domains, such as visuospatial attention, higher-level visual processing, and language (for a review, see Kasselimis & Nidos, Reference Kasselimis, Nidos and Wright2015).
In patients with CMTX, Lee et al. (Reference Lee, Park, Chung, Kim, Choi, Yoo, Yoon, Hong, Chung, Choi and Lee2017) found additional abnormalities (indicated by decreased fractional anisotropy and/or increased radial diffusivity) in several white matter tracts, including the external capsule, the cingulate, the fornix, and the superior longitudinal fasciculus (SLF I). The external capsule is known to consist of fibers mainly supporting cortico-subcortical connections (Kumral & Çalli, Reference Kumral and Çalli2006; Ribas, Yağmurlu, de Oliveira, Ribas, & Rhoton, Reference Ribas, Yağmurlu, de Oliveira, Ribas and Rhoton2018). Most importantly, it is often indistinguishable from the extreme capsule in studies utilizing standard neuroradiological evaluation (e.g. Efthymiopoulou et al., Reference Efthymiopoulou, Kasselimis, Ghika, Kyrozis, Peppas, Evdokimidis, Petrides and Potagas2017) but also advanced neuroimaging methodologies (e.g. Forkel et al., Reference Forkel, de Schotten, Kawadler, Dell’Acqua, Danek and Catani2014; for a discussion, see Dick & Tremblay, Reference Dick and Tremblay2012). The extreme capsule fasciculus has been shown to support cortico-cortical connections between prefrontal and temporal association areas (Petrides, Reference Petrides2014). The same stands for SLF I, which facilitates communication between the superior parietal lobule and the caudal dorsolateral and dorsomedial frontal cortex (Petrides, Reference Petrides2014). Such cortico-cortical connections between association/multisensory cortical regions are thought to support the integration of information during higher-level processing, and, more specifically, cognitive functions, including components of working memory and executive functions in general, are shown to engage a fronto-parietal network (Champod & Petrides, Reference Champod and Petrides2007, Reference Champod and Petrides2010; Rottschy et al., Reference Rottschy, Langner, Dogan, Reetz, Laird, Schulz, Fox and Eickhoff2012; Wager & Smith, Reference Wager and Smith2003).
The cingulate cortex is suggested to be involved in various cognitive processes (Bush, Luu, & Posner, Reference Bush, Luu and Posner2000). In particular, the anterior cingulate cortex has been associated with executive control (Carter et al., Reference Carter, Macdonald, Botvinick, Ross, Stenger, Noll and Cohen2000; Markela-Lerenc et al., Reference Markela-Lerenc, Ille, Kaiser, Fiedler, Mundt and Weisbrod2004) and the posterior cingulate cortex has been shown to be involved in memory, internally directed thought, and attentional focus (Leech & Sharp, Reference Leech and Sharp2013; Vogt, Finch, & Olson, Reference Vogt, Finch and Olson1992). Finally, the fornix allows communication between the hippocampus and other brain regions (Nieuwenhuys, Voogd, & van Huijzen, Reference Nieuwenhuys, Voogd and van Huijzen2008, and therefore may be related to memory consolidation.
In addition to clinical and brain MRI data, older evoked potential studies have also identified CNS involvement in families with CMTX (Nicholson & Corbett, Reference Nicholson and Corbett1996; Zambelis et al., Reference Zambelis, Panas, Kokotis, Karadima, Kararizou and Karandreas2008). In fact, CMTX is often thought of as both a peripheral nervous system and CNS disease (Abrams & Freidin, Reference Abrams and Freidin2015; Abrams & Scherer, Reference Abrams and Scherer2012). It is, therefore, highly plausible that cognitive function may be affected in these patients. Any potential cognitive deficits would further disable CMTX patients in their everyday life, by adding insult to injury already caused by peripheral motor and sensory impairment, which can affect both upper and lower extremities (Pareyson & Marchesi, Reference Pareyson and Marchesi2009).
Despite the aforementioned evidence, no systematic study of cognitive function in patients with CMTX has been reported to date. In a single family report, episodic memory loss and cognitive impairment, suggestive of probable Alzheimer’s disease, was identified in two sisters and their brother respectively (Stancanelli et al., Reference Stancanelli, Taioli, Testi, Fabrizi, Arena, Granata, Russo, Gentile, Vita and Mazzeo2012). The only detailed neuropsychological study on CMT patients involved a case series of 30 patients with CMT type 1A (CMT1A) and hereditary neuropathy with liability to pressure palsies (HNPP), different subtypes of CMT than CMTX. CMT1A and HNPP represent the commonest form of CMT, are due to copy number variation in the peripheral myelin protein 22 gene (PMP22), and have a combined population prevalence that can be as high as 10 times that of CMTX (Chanson et al., Reference Chanson, Echaniz-Laguna, Blanc, Lacour, Ballonzoli, Kremer, Namer, Lannes, Tranchant, Vermersch and de Seze2013; van Paassen et al., Reference van Paassen, van der Kooi, van Spaendonck-Zwarts, Verhamme, Baas and de Visser2014). It is noteworthy that a priori evidence of CNS involvement for CMT1A and HNPP is very limited compared to CMTX, given that peripheral myelin protein 22 is almost exclusively expressed in the peripheral nervous system (van Paassen et al., Reference van Paassen, van der Kooi, van Spaendonck-Zwarts, Verhamme, Baas and de Visser2014).
The above provides indications for CNS involvement in CMTX and further raise the possibility of cognitive impairment in such patients. Presently, we attempted to systematically assess cognitive function in patients with CMTX, using a comprehensive neuropsychological battery. Since relevant evidence is limited in the literature, we decided to include a wide variety of psychometric measures corresponding to several cognitive domains. In particular, verbal memory and learning refer to encoding, short-term retention, and consolidation of verbal information. Verbal and visuospatial working memory refer to the ability to temporarily retain and manipulate verbal and visuospatial stimuli, respectively. Investigation of verbal and language skills included confrontation naming and receptive vocabulary, both involving access and retrieval of lexical-semantic representations. We also examined auditory comprehension, through a complex command task. Assessment of executive functions included tests evaluating processing speed, that is, the ability to process information to complete a complex task within a particular timeframe, and cognitive flexibility, a psychological construct which reflects the ability to switch between strategies, generally described as shifting. Moreover, we assessed inhibition, which is described as the ability to suppress a spontaneous, overlearned ability and replace it with another one based on task requirements. Finally, visual attention was assessed within the framework of executive functions as the ability to scan and focus on specific visual stimuli (for a detailed description of cognitive functions, see Mesulam, Reference Mesulam2000; for a comprehensive presentation of various neuropsychological measures, see Lezak, Howieson, Loring, & Fischer, Reference Lezak, Howieson, Loring and Fischer2012).
METHODS
The Neurogenetics Unit at the 1st Department of Neurology, Eginition Hospital, Athens, Greece, has provided molecular diagnostic testing for CMTX to patients from all regions of the country, acting effectively as a national reference center. In total, 66 patients with mutations in GJB1 have been identified over two decades. Of these, 56 patients could be contacted by phone to request participation in the present investigation. After excluding patients with concomitant medical conditions, such as alcohol or drug abuse; epilepsy; severe cranial trauma; autoimmune, vascular or other systemic disease; as well as patients with clinical evidence of visual or hearing impairment that could affect cognitive function, 24 agreed to participate (Chanson et al., Reference Chanson, Echaniz-Laguna, Blanc, Lacour, Ballonzoli, Kremer, Namer, Lannes, Tranchant, Vermersch and de Seze2012). Patient recruitment is summarized in Figure 1. The study was approved by the hospital ethics committee, and informed consent was obtained from all patients.
Flow diagram illustrating recruitment of patients for neuropsychological assessment from a total cohort of CMTX patients presenting over 20 years.
In total, 24 patients with molecularly confirmed CMTX were included (13 males; mean age = 43.4 ± 10.3 years, range 19–61 years; mean education = 14.0 ± 3.3 years, range 6–18; nine different GJB1 mutations). All patients were examined neurologically by the neurologists of the Neurogenetics Unit. Clinical and electrophysiological findings were used to calculate the CMT neuropathy score (Shy et al., Reference Shy, Blake, Krajewski, Fuerst, Laura, Hahn, Li, Lewis and Reilly2005). Following exclusion of the PMP22 duplication, all cases were Sanger-sequenced for mutations in GJB1, as previously described (Karadima et al., Reference Karadima, Koutsis, Raftopoulou, Floroskufi, Karletidi and Panas2014).
All patients were assessed by an experienced neuropsychologist according to standard administration procedures described in the corresponding normative studies (see below). Neuropsychological testing included the Greek version of the Auditory Verbal Learning Test (AVLT) (Constantinidou, Christodoulou, & Prokopiou, Reference Constantinidou, Zaganas, Papastefanakis, Kasselimis, Nidos and Simos2014), the Boston Naming Test (BNT; Kaplan, Goodglass, & Weintraub, Reference Kaplan, Goodglass and Weintraub1983), and the Peabody Picture Vocabulary Test–Revised (PPVT-R; Dunn, Reference Dunn1981), both standardized in Greek (Simos, Kasselimis, & Mouzaki, Reference Simos, Kasselimis and Mouzaki2011a, Reference Simos, Kasselimis and Mouzaki2011b), for assessing access to mental lexicon, the Comprehension of Instructions in Greek (CIG; Simos, Kasselimis, Potagas, & Evdokimidis, Reference Simos, Kasselimis, Potagas and Evdokimidis2014), the Controlled Oral Word Fluency (COWF; Kosmidis, Vlahou, Panagiotaki, & Kiosseoglou, Reference Kosmidis, Vlahou, Panagiotaki and Kiosseoglou2004), and two standardized word and pseudoword reading fluency measures. The reading fluency task consists of a list of 112 high-frequency words in order of increasing length. The pseudoword fluency task consists of a list of 70 pseudowords in order of increasing length. For both tasks, the patient is asked to read items aloud with a time limit of 45 s, as fast as possible. Total number of correctly read items within the given time limit is the final score of the patient in each task (for a detailed description of the psychometric tool, see Simos, Sideridis, Kasselimis, & Mouzaki, Reference Simos, Sideridis, Kasselimis and Mouzaki2013). A Digit Span task (DS; Simos, Papastefanakis, Panou, & Kasselimis, Reference Simos, Papastefanakis, Panou and Kasselimis2011) and the Corsi Block-Tapping task (Corsi, Reference Corsi1972; Kessels, Van Den Berg, Ruis, & Brands, Reference Kessels, Van Den Berg, Ruis and Brands2008) were used for verbal and visual working memory, respectively. For frontal and executive functions, Trail Making Test (TMT; Zalonis et al., Reference Zalonis, Kararizou, Triantafyllou, Kapaki, Papageorgiou, Sgouropoulos and Vassilopoulos2007), Symbol Digit Modality Test (SDMT; Constantinidou et al., Reference Constantinidou, Christodoulou and Prokopiou2012), and Stroop Test (Zalonis et al., Reference Zalonis, Christidi, Bonakis, Kararizou, Triantafyllou, Paraskevas, Kapaki and Vasilopoulos2009) were used. It should be noted that in order to prevent the confounding ation of movement deficits, additional scores (TMT B-A and TMT B/A) were calculated for each patient (Christidi, Kararizou, Triantafyllou, Anagnostouli, & Zalonis, Reference Christidi, Kararizou, Triantafyllou, Anagnostouli and Zalonis2015). Impaired performance was defined on the basis of either the fifth percentile or –1.5 standard deviation criteria, depending on the available normative data. Statistical analysis was performed on SPSS, version 20.
RESULTS
Genetic, demographic, clinical, and neuropsychological data for all 24 individual patients are presented in Table 1. Individual data on performance (Z scores and percentiles) in the neuropsychological tests are shown in Table 2. No significant difference in CMT neuropathy score was observed between male and female patients (12.4 vs. 9.3, p = .14; Mann-Whitney U test). We specifically display neuropsychological tests with abnormal results for individual patients. Initially, we performed group comparisons using Kruskal–Wallis, with gender, mutation location, and specific mutations (analysis limited to mutations carried by at least two patients) as independent variables. Results indicated that there were no significant differences between groups with regard to scores on neuropsychological tests (first analysis: males vs. females; second analysis: extracellular vs. intracellular vs. intramembrane location; third analysis: R164Q vs. V120E vs. V37L vs. P70F vs. T55I).
Genetic, demographic, clinical and neuropsychological data of individual patients with CMTX studied with a comprehensive neuropsychological battery
cx-32, connexin-32; Edu, education; CMT score, CMT neuropathy score; IM, intramembrane; EC, extracellular; IC, intracellular; EM-DR, Episodic Memory–Delayed Recall, corresponding to AVLT delayed recall subscale; EM-E, Episodic Memory Encoding, corresponding to AVLT immediate recall subscale; EM-LC, Episodic Memory–Learning Curve, corresponding to AVLT learning index; EX-CF, Executive Functions–Cognitive Flexibility, corresponding to TMT B/A index; EX-I, Executive Functions-Inhibition, corresponding to Stroop-CW subscale; EX-PS, Executive Functions–Processing Speed, corresponding to SDMT index; L-C, Language–Comprehension of complex commands, corresponding to CIG index; L-D, Language–Decoding, corresponding to pseudoword reading fluency index; L-N, Language–Naming, corresponding to BNT index; L-RV, Language–Receptive Vocabulary, corresponding to PPVT index; S-F, Semantic Fluency; WM-V, Working Memory–Verbal, corresponding to Digit Span index; WM-VS, Working Memory–Visuospatial, corresponding to Corsi Block-Tapping task.
Individual data for the neuropsychological battery: Z scores and percentiles
AVLT 1-5, Auditory Verbal Learning Test (Encoding); AVLT-LC, Auditory Verbal Learning Test (Learning Curve); AVLT-7, Auditory Verbal Learning Test (Delayed Recall); FL-PH, Controlled Oral Word Fluency Phonemic subscale; FL-SEM, Controlled Oral Word Fluency Semantic subscale; TMT-A, Trail Making Test A; TMT-B, Trail Making Test B; TMT_B/A, Trail Making Test B/A index; SDMT, Symbol Digit Modality Test; PPVT-R, Peabody Picture Vocabulary Test–Revised; BNT, Boston Naming Test; CIG, Comprehension of Instructions in Greek; RW, Word Reading fluency task, RpsW, Pseudoword Reading fluency task; DS-F, Digit Span Forward; DS-B, Digit Span Backward; C-F, Corsi Block-Tapping task Forward; C-B, Corsi Block-Tapping task Backward; SNST, Stroop Test (interference score).
We then transformed raw scores to Z scores/percentiles based on the corresponding norms for each test. A case-by-case investigation revealed that there were several patients displaying specific cognitive deficits. Three non-overlapping groups emerged based on patterns of performance on the neuropsychological battery. Group 1 (seven patients, 29%) demonstrated prominent executive deficits (as indicated by the TMT B/A index; at least 1.5 SD below mean healthy performance); Group 2 (seven patients, 29%) demonstrated prominent deficits in decoding written stimuli with intact word recognition ability (as indicated by performance on the two reading fluency tasks; at least 1.5 SD below mean healthy performance on the pseudoword fluency task and over –1.5 SD for the word fluency task); and Group 3 (10 patients, 42%) demonstrated either non-specific, sparse deficits, or intact cognitive functions. More specifically, one patient demonstrated lower-than-expected performance on the forward condition of the Corsi Block-Tapping task; one patient exhibited lower-than-expected performance on CIG; and one patient scored lower than expected on the semantic fluency subscale of COWF. The rest of the patients included in Group 3 did not demonstrate any cognitive deficit (see Table 1). Inclusion criteria for the third group were scores above –1.5 SD for the TMT B/A index and the pseudoword fluency task. The three groups were matched for age, years of formal schooling (as indicated by non-significant Kruskal–Wallis results), and gender (as indicated by non-significant chi-square results). No differences were observed between groups with regard to mutation location, as indicated by chi-square analysis. In order to statistically assess whether the percentage of patients demonstrating impaired performance could be attributed to chance, we conducted statistical analyses with the binomial test, which is actually a chi-square test for goodness of fit. The question was whether the percentage of patients found impaired in a single neuropsychological measure (i.e. 29% corresponding to each of the aforementioned subgroups) is different from the expected percentage of healthy participants scoring below 1.5 SD in a hypothesized normal distribution of normative data, which is equal to 7%. Results showed that the percentages of patients demonstrating impaired performance in decoding and cognitive flexibility are significantly >7% (p = .001), and therefore cannot be attributed to chance. Binomial tests for the rest of the neuropsychological measures did not yield any significant results.
In order to investigate the possibility that the differences observed in cognitive measures were due to the severity of neuropathy, we then decided to assess the effect of the degree of neuropathy on neuropsychological measures. First, we conducted correlation analyses between the CMTX neuropathy score and performance on the pseudoword reading fluency task, as well as the TMT B/A index. Results were negative, since Spearman rho analyses failed to yield significant results. In particular, the correlation coefficient between TMT B/A index and neuropathy score was –.179 (p = .402) and the correlation coefficient between pseudoword reading fluency score and neuropathy score was –.343 (p = .101). Second, we compared the three groups with regard to CMTX neuropathy score, in the sense that a difference in favor of the non-impaired group could raise the possibility of the cognitive deficits being due to the severity of neuropathy. A Kruskal–Wallis test yielded a marginally significant result; χ 2(2) = 6.215, p = .045. However, follow-up pairwise comparisons, implementing a Bonferroni-adjusted significance level at α = .017, failed to show significant differences between any pair of groups: U = 13.5, p = .154 for the comparison between Group 1 and Group 2; U = 20.5, p = .154 for the comparison between Group 1 and Group 3; U = 12, p = .024 for the comparison between Group 2 and Group 3.
DISCUSSION
We presently aimed to investigate the cognitive function of patients with CMTX. Despite the well-described CNS involvement that can be observed in these patients, cognition has not been previously investigated, and the available literature is limited to a single family report. In that report, an unspecified neuropsychological battery revealed episodic memory loss in two sisters, and episodic and semantic memory loss, constructional apraxia, alexia, agraphia, and acalculia in their brother (siblings aged 53–62 years) (Stancanelli et al., Reference Stancanelli, Taioli, Testi, Fabrizi, Arena, Granata, Russo, Gentile, Vita and Mazzeo2012). To our knowledge, this is the first study investigating multiple cognitive domains in patients with CMTX by implementing a comprehensive neuropsychological battery.
The most interesting finding to emerge was the delineation of three non-overlapping groups, one with prominent executive deficits (Group 1), one with prominent pseudoword reading deficits (Group 2), and one with non-specific or no cognitive deficits (Group 3). Regarding Group 1, the TMT B/A index is thought to be a reliable measure of cognitive flexibility (Christidi et al., Reference Christidi, Kararizou, Triantafyllou, Anagnostouli and Zalonis2015). The low TMT B/A score in some CMTX patients may thus reflect underlying frontal dysfunction. Although the general consensus is that the score relies heavily on prefrontal activation, recent findings indicate that TMT performance is related to posterior and anterior cortical regions and may, in fact, reflect more general cognitive ability (Chan et al., Reference Chan, MacPherson, Robinson, Turner, Lecce, Shallice and Cipolotti2015; Zakzanis et al., Reference Zakzanis, Mraz and Graham2005). The reading deficits observed in Group 2 are particularly interesting in light of the predominance of posterior DTI abnormalities in some CMTX patients and the known involvement of posterior brain systems in reading (Lee et al., Reference Lee, Park, Chung, Kim, Choi, Yoo, Yoon, Hong, Chung, Choi and Lee2017; Shaywitz et al., Reference Shaywitz, Shaywitz, Pugh, Mencl, Fulbright, Skudlarski, Constable, Marchione, Fletcher, Lyon and Gore2002). According to the widely accepted Dual-Route Model (Coltheart, Curtis, Atkins, & Haller, Reference Coltheart, Curtis, Atkins and Haller1993), there are two independent mechanisms involved in reading. The first one, corresponding to the lexical route, is activated in expert readers, during recognition and production of real words, via access to input and output lexical/semantic representations (where the visual form and the right phonological/spoken form of words already familiar to the individual speaker are stored). The second one, corresponding to the sublexical route, is engaged in phonological decoding of novel printed verbal stimuli via grapheme-to-phoneme conversion. The latter route is thought to be activated during pseudoword reading, by mapping individual orthographic aspects to their phonological correlates, thus integrating visual information into a phonological representation of any given meaningless string of graphemes. Based on the above, Group 2 demonstrates an extremely specific cognitive impairment, revealing a distinct pattern with prominent difficulty in decoding written stimuli, with intact word recognition capacity. Brain imaging findings suggest that the left temporoparietal region is the neural substrate of phonological decoding (Simos et al., Reference Simos, Breier, Fletcher, Foorman, Castillo and Papanicolaou2002). It is also noteworthy that, in this context, the lexical route takes the ventral pathway as opposed to the dorsal pathway. The latter seems to be affected by the disease in Group 2.
We failed to find any association between gender and impairment in any of the cognitive functions examined. This finding may seem prima facie strange, given that males with CMTX have more severe neuropathy than females, CNS involvement has been reported overwhelmingly in male patients, and abnormal DTI findings have been observed exclusively in male patients (Karadima et al., Reference Karadima, Koutsis, Raftopoulou, Floroskufi, Karletidi and Panas2014; Lee et al., Reference Lee, Park, Chung, Kim, Choi, Yoo, Yoon, Hong, Chung, Choi and Lee2017; Panas et al., Reference Panas, Kalfakis, Karadimas and Vassilopoulos2001; Paulson et al., Reference Paulson, Garbern, Hoban, Krajewski, Lewis, Fischbeck, Grossman, Lenkinski, Kamholz and Shy2002). However, it is noteworthy that in our cohort the severity of neuropathy did not differ significantly between males and females, indicating that relatively severely affected females had been included. Furthermore, it is possible that different pathogenic mechanisms may underlie peripheral vs. central manifestations of CMTX, the second putatively involving trans-dominant-negative effects on other CNS connexins, which may be differentially influenced by gender (Scherer & Kleopa, Reference Scherer and Kleopa2012). A whole-sample correlation analysis (including both males and females) showed a rather weak association of decoding deficits with higher CMT neuropathy scores. Although the correlation proved to be non-significant, one could argue that there is a kind of a trend for an inverse association between the decoding skills and severity of neuropathy. However, in addition to lack of statistical significance, the value of coefficient per se does not indicate a strong or even moderate association. It should be also noted that the Kruskal–Wallis analysis indicated a marginally significant difference with regard to CMTX neuropathy score between the three cognitive groups (with Group 2 being inferior compared to the other two), but follow-up pairwise comparisons did not survive a Bonferroni correction. In any case, our data imply the existence of an inverse association trend between the degree of neuropathy and the ability to decode non-word printed stimuli. This should be further tested and possibly confirmed by studies with larger patient cohorts, something that does not seem to be possible for the Greek CMTX population, due to its small number.
No effect of mutation location within Cx-32 on cognitive performance was observed. Furthermore, no individual mutation was specifically associated with cognitive impairment, although the relatively small case number per mutation largely precluded such analysis. Evidence for CNS involvement can be found in the literature for at least four mutations included (T55I, H100Q, Y154X, R164Q), and some, though not all, patients carrying these mutations presently showed evidence of cognitive deficits (Fusco et al., Reference Fusco, Frattini, Pisani, Spaggiari, Ferlini and Della Giustina2010; Karadima et al., Reference Karadima, Koutsis, Raftopoulou, Floroskufi, Karletidi and Panas2014; Panas et al., Reference Panas, Kalfakis, Karadimas and Vassilopoulos2001; Zambelis et al., Reference Zambelis, Panas, Kokotis, Karadima, Kararizou and Karandreas2008).
A detailed neuropsychological study has been recently published in patients with CMT1A and HNPP, both hereditary neuropathies sharing several common features with CMTX with respect to peripheral nerve involvement, with sample sizes comparable to this report and neuropsychological tests that only partially overlapped with the present battery (Chanson et al., Reference Chanson, Echaniz-Laguna, Blanc, Lacour, Ballonzoli, Kremer, Namer, Lannes, Tranchant, Vermersch and de Seze2012). The authors observed cognitive impairment in 70% of patients with PMP22 mutations, affecting primarily executive functions, working memory, and verbal episodic memory. This observation was accompanied by abnormal imaging findings regarding white matter volume, DTI, and magnetic spectroscopy. DTI abnormalities, however, were at odds with the completely negative findings on DTI recently reported in CMT1A patients (Lee et al., Reference Lee, Park, Chung, Kim, Choi, Yoo, Yoon, Hong, Chung, Choi and Lee2017). Cognitive deficits, therefore, seem to be a feature of CMT caused not only by mutations in Cx-32, as presently observed, but also by the more common mutations in PMP22, with some controversy surrounding their relationship with imaging abnormalities. In future studies, it would be important to combine cognitive assessment with imaging parameters in the same subjects with CMTX.
Several limitations to the present study should be specifically stated. The most important is the absence of a control group with a comparable neuropathy. We gave substantial attention to this point during study design. However, there were difficulties that could not be overcome for several clinical reasons. Common metabolic and toxic neuropathies (e.g. alcoholic, diabetic, uremic, due to B1 or B12 deficiency) are caused by agents that commonly result in CNS abnormalities. Additionally, the much rarer autoimmune neuropathies have also been often linked to CNS involvement. These restrictions have also been noted in the paper by Chanson et al. (Reference Chanson, Echaniz-Laguna, Blanc, Lacour, Ballonzoli, Kremer, Namer, Lannes, Tranchant, Vermersch and de Seze2012). The obvious choice would have been to have a control group of patients with a more common hereditary neuropathy such as CMT1A. However, the findings by Chanson et al. (Reference Chanson, Echaniz-Laguna, Blanc, Lacour, Ballonzoli, Kremer, Namer, Lannes, Tranchant, Vermersch and de Seze2012), suggesting the presence of cognitive involvement in 70% of these patients, also ruled them out as a satisfactory control group.
A further limitation of this study is the fact that any visual or hearing impairment was only assessed clinically and not neurophysiologically with evoked potentials, during subject screening for exclusion. It is therefore possible, though unlikely, that subjects with minor subclinical involvement of the auditory or visual systems were included in the cohort.
Finally, two further limitations pertaining to this study are the absence of concomitant neuroradiological data that could be correlated to the cognitive abnormalities detected and the absence of a replication of the neuropsychological examination over time with a view to assessing the reversibility, stability, or worsening of any pathological findings. Both these limitations should be addressed in future extensions of the present report.
ACKNOWLEDGEMENTS
This work has been supported by a grant by Teva Pharmaceuticals (grant no. 12846, special account for research grants, National and Kapodistrian University of Athens). D.K. is supported by IKY Scholarships Programme co-financed by the European Union (European Social Fund) and Greek national funds through the action entitled “Reinforcement of Postdoctoral Researchers,” in the framework of the Operational Programme “Human Resources Development Program, Education and Lifelong Learning” of the National Strategic Reference Framework 2014–2020. D.T. is supported by Greece and the European Union (European Social Fund- ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning” in the context of the project “Strengthening Human Resources Research Potential via Doctorate Research” (MIS-5000432), implemented by the State Scholarships Foundation (IKY).
CONFLICTS OF INTEREST
The authors have nothing to disclose.
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