Academia.eduAcademia.edu

Purkinje cells pathology in schizophrenia. A morphometric approach

2017, Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie

Schizophrenia is a brain disorder that affects more than 21 million people worldwide. Ventricle enlargement and reduction in the volume of the temporal lobe overall and in medial temporal structures constitutes the main macroscopic findings, whilst synaptic and spinal changes as well as gliosis in the hippocampal formation, the prefrontal and the entorhinal cortex stand among cardinal microscopic findings in the schizophrenic brains. In recent years, accumulated evidence comes to light about the role of cerebellum in the pathophysiology of schizophrenia. The present study is based on the morphological analysis and 3D neuronal reconstruction of the Purkinje cells from 10 schizophrenic brains and 10 normal controls. Significant morphological alterations such as loss of distal and terminal dendritic branches and decrease of the density of the dendritic spines constitute the main morphological findings found in the present study. The present findings may be added to accumulated evidence...

Rom J Morphol Embryol 2017, 58(2):419–424 ORIGINAL PAPER RJME Romanian Journal of Morphology & Embryology http://www.rjme.ro/ Purkinje cells pathology in schizophrenia. A morphometric approach IOANNIS ASTERIOS MAVROUDIS1–3), FOIVOS PETRIDES1,3), MARINA MANANI1,3), FOTIOS CHATZINIKOLAOU4), ALIN STELIAN CIOBICĂ5), MANUELA PĂDURARIU6), DIMITRIOS KAZIS2), SAMUEL NDUGU NJAU4), VASILIKI GEORGE COSTA1,3), STAVROS JOHN BALOYANNIS3) 1) Laboratory of Neuropathology and Electron Microscopy, First Department of Neurology, Aristotle University of Thessaloniki, Greece 2) Third Department of Neurology, Aristotle University of Thessaloniki, Greece 3) Institute for Research of Alzheimer’s Disease, Other Neurodegenerative Diseases and Normal Aging, Heraklion Langada, Greece 4) Department of Forensic Medicine and Toxicology, Aristotle University of Thessaloniki, Greece 5) Department of Research, Faculty of Biology, “Alexandru Ioan Cuza” University, Iaşi, Romania 6) “Grigore T. Popa” University of Medicine and Pharmacy, Iaşi, Romania Abstract Objectives: Schizophrenia is a brain disorder that affects more than 21 million people worldwide. Ventricle enlargement and reduction in the volume of the temporal lobe overall and in medial temporal structures constitutes the main macroscopic findings, whilst synaptic and spinal changes as well as gliosis in the hippocampal formation, the prefrontal and the entorhinal cortex stand among cardinal microscopic findings in the schizophrenic brains. In recent years, accumulated evidence comes to light about the role of cerebellum in the pathophysiology of schizophrenia. Materials and Methods: The present study is based on the morphological analysis and 3D neuronal reconstruction of the Purkinje cells from 10 schizophrenic brains and 10 normal controls. Results: Significant morphological alterations such as loss of distal and terminal dendritic branches and decrease of the density of the dendritic spines constitute the main morphological findings found in the present study. Conclusions: The present findings may be added to accumulated evidence on macroscopic and microscopic pathology of the cerebellum in schizophrenia. Morphological alterations of Purkinje cells seem to be a central feature of neuropathology of schizophrenia, reflecting to impairment of neuronal connectivity and functionality, and related to motor and cognitive symptoms. Keywords: Golgi method, schizophrenia, Purkinje cells, 3D neuronal reconstruction.  Introduction Schizophrenia is a brain disorder that affects more than 21 million people worldwide. Schizophrenia typically begins in late adolescence or early adulthood and is clinically characterized by positive symptoms, which include delusions, hallucinations and thought disorder, as well as negative symptoms such as avolition, alogia and affective flattening [1, 2]. In addition to the aforementioned symptoms, schizophrenic patients also usually develop cognitive deficits and neurological signs such as dysdiadochokinesis or motor coordination impairment and smooth pursuit eye movements’ disorder [3–7]. Ventricle enlargement and reduction in the volume of the temporal lobe overall and in medial temporal structures constitutes the main macroscopic findings, whilst synaptic and spinal changes as well as gliosis in the hippocampal formation, the prefrontal and the entorhinal cortex stand among cardinal microscopic findings in the schizophrenic brains [8–13]. In recent years, accumulated evidence comes to light about the role of cerebellum in the pathophysiology of schizophrenia [14–17]. Cerebellar impairment is thought to be implicated in dyscoordination, abnormal posture, eye blink condiISSN (print) 1220–0522 tioning, procedural learning deficits and poor cognitive performance [18–23]. Structural magnetic resonance imaging (MRI), functional MRI and positron emission tomography (PET) studies have shown a significant decrease of the cerebellar volume and decreased activation of certain cerebellar regions in schizophrenia [14, 16, 17, 20, 23, 24]. Furthermore, Tran et al. (1998) using Nissl cresyl violet method revealed a significant decrease of Purkinje cells soma area, while Maloku et al. (2009) demonstrated lower number of Purkinje cells in the cerebellar cortex of schizophrenic brains, associated with reduced reelin expression [25, 26]. Despite the fact that there are numerous studies on the cerebellar volume loss and a few studies about Purkinje cells density, there is no morphological study of the Purkinje cells in schizophrenia. In previous studies, we demonstrated morphological changes of Purkinje cells from the upper surface of the cerebellar hemispheres and the cerebellar vermis in Alzheimer’s disease [27, 28]. In the present study, we tried to figure out the dendritic and spinal alterations of the Purkinje cells of the upper surface of the right cerebellar hemisphere in schizophrenic brains. ISSN (online) 2066–8279 420 Ioannis Asterios Mavroudis et al.  Materials and Methods Subjects Tissue samples were obtained from 10 neurologically normal individuals’ post-mortem, and 10 suffered from schizophrenia, all of them aged between 40 and 62 years (mean 49.4±5.3 years). A written informed consent was obtained from the relatives of the deceased for each one of the brain, in which it was clearly defined that the tissue would be used for research purposes. The research was carried out with full respect to the appropriate legislation of the Greek Democracy (ν. 2472/1997, 2819/2000, 2915/2001, 3235/2004, 3471 /2006), as is clearly stated by the Committee for Research Deontology Principles of the Aristotle University of Thessaloniki [29]. The average autolysis time for all subjects was 11±3.5 hours. All brains, after their excision from the skull were immersed in 10% neutral buffered formalin for at least 25 days. All possible information on each subject, concerning their previous physical and illness history, was obtained from autopsy reports as well as medical records. All the brains were examined by an independent neuropathologist for gross and microscopic signs of pathology. The brains did not exhibit trauma, edema or chronic illness. The diagnosis for the schizophrenic patients was set by independent psychiatrists according to the criteria of the Diagnostic and Statistical Manual of Mental Disorders Text Revision [30]. Tissue selection and processing A tissue block from the upper surface of the right cerebellar hemisphere was excised. The tissue blocks were coded in order to prevent experimental bias and were used for Golgi method and Nissl staining [31]. Cell selection criteria For each one of the brains, five Purkinje cells were selected. Neurons examined for quantitative alterations met the criteria set forth by Jacobs et al. (1997) that request uniform staining of neuronal processes, absence of precipitated debris, good contrast between cells and background and relatively uniform tissue thickness [10]. For purposes of randomization, all the cells that met the selection criteria were randomly pooled and every third neuron in the series was chosen. Golgi method For silver impregnation, the specimens were immediately immersed in a dilution of potassium dichromate (7 g of potassium dichromate and 20 mL of 37% formaldehyde solution in 300 mL of tap water), at room temperature. They remained in that solution for one week, and then they were immersed in an aqueous solution of 1% silver nitrate, where they remained for one more week, at a temperature of 150C, in a photoprotected environment. After fixation, the specimens were embedded in lowmelting-point paraffin and cut with a slicing microtome in thick sections at a range of 120 μm and after rapid differentiation, they were covered with entellan. Nissl staining Adjacent sections were cut in a range of 20 μm and used for Nissl staining [31], in order to evaluate the neuronal population, and to define the depth of molecular layer. The depth of the molecular layer was measured in Nissl-stained slices using the Image J software. Every 50 μm of horizontal distance, the vertical distance of the molecular layer was taken and all the measurements were used to give the average thickness of the molecular layer. Neuronal tracing and dendritic quantification For every cell, we took a 30-second video at a magnification of 400× while the microscope table was moving at the standard velocity of 20 μm/s. The microscope stage was moving using a motorized XYZ microscope stage system (MLS203/MZS500-E-ThorLabs), with the movement on the Z-axis being controlled by the MZS500-E – Z-Axis Piezo Stage and Controller Kit, with the aim of the APC software provided by Thorlabs with a JogStep of 1 μm a Travel Range of 250 μm. The videos were analyzed in digital image sequences of 200 serial pictures, which were ultimately imported in Neuromantic application to trace the cells, quantifying them along x-, y- and zcoordinates [32]. Each one of the selected cells was traced using the Neuromantic application. Neuronal tracing was carried out in the semi-automatic form by two different investigators, and the average of these measurements was used for statistical analysis. The neuronal tracing started with the cell soma and moved onto the basilar dendrites and the apical shaft. Dendritic trees were quantitatively evaluated in a centrifugal manner for apical dendrites and basal dendrites according to Uylings et al. (1990) [33]. Dendrites arising from the cell soma are considered first-order segments, up to their first symmetrical bifurcation. Dendritic branches arising from first-order segments are considered second-order segments, in turn, up to their symmetrical bifurcation into third-order segments, and so on. When asymmetric branching is met during the neuronal tracing, the offspring dendritic branch, recognized by a qualitatively thinner diameter, is classified as a nextorder branch, whereas the parent dendrite would retain its order level past the branching point. Dendritic measures and Sholl analysis The parameters measured were: soma size, total dendritic length, cell contraction, dendritic field asymmetry, total number of dendritic segments and bifurcations, number of terminal branches, local and remote bifurcation angles, as well as the length and number of dendritic segments per order. Furthermore, the tracing was quantitatively analyzed with Fiji and Simple Neurite Tracer plugin based on Sholl’s (1954) method of concentric spheres [34]. Concentric spheres were drawn, at intervals of 10 μm centered on the cell bodies, and dendritic intersections within each sphere were counted [32]. Spine counts Spine counts were carried out at 360 pictures, which were taken with an AxioCam HR, at the standard magnification of 1000×, on an Axiostar Plus photomicroscope. Visible spines were counted on three segments of the dendritic field. The first segment, 20–30 μm in length, was located in a distance of 50 μm of cells soma, the second segment, 20–30 μm in length in 150 μm and the third one, 20–30 μm in 250 μm from cells soma. Purkinje cells pathology in schizophrenia. A morphometric approach Neuronal density The linear density of the Purkinje cells was estimated on 30 pictures from each brain, using the cell counter function on Image J based on the method described by Maloku et al. (2010) [26]. Statistical analysis Individual cellular measurements were averaged for each of the study groups. Statistical analysis was based on the Student’s t-test based on 100 cells in SPSS ver. 17.0. Significance was taken as p<0.05. To ensure that autolysis time did not affect neuronal density and dendritic measurements, two-tailed Pearson’s product correlations were performed between all dependent measures and autolysis time [32].  Results Dendritic changes Purkinje cells of both groups did not exhibit autolytic changes described by Williams et al. (1978) [35]. Purkinje cells from the schizophrenic brains showed substantial changes of dendritic tree complexity. Primary and secondary dendritic branches did not exhibit significant difference between the two groups, however the total dendritic length was significantly decreased [p<0.005] (Figure 1A), even as a severe loss of terminal and distal dendritic branches was also noticed [p<0.01] (Figure 1B). The daughter ratio was reduced in the schizophrenic group [p<0.001] (Figure 1C), while the ratio between remote 421 bifurcation tilt to local bifurcation tilt was likewise affected [p<0.01] (Figure 1D). Dendritic tree area and dendritic tree volume were also decreased in the schizophrenic group [p<0.001] (Figure 2, A and B). Sholl analysis revealed a restriction of the dendritic field due to the loss of distal branches, at distance 150 μm from cell soma (Figure 2C). The peak of the development of the dendritic arborization occurred at 90 μm from cell soma for schizophrenic brains and at 130 μm for the normal controls. Spinal changes The density of dendritic spines was significantly lower in the schizophrenic group [p<0.001] (Figure 3, C and D). Spinal loss seemed to be more prominent in distal branches (Figure 2D). Besides spinal loss, significant morphological alterations of dendritic spines were also revealed while the majority of the remaining spines on schizophrenic brains were of the short-stubby type (Figure 2B), while Purkinje cells of normal controls bear spines of the long-neck type and only a few from the short-stubby type. Moreover, dystrophic and giant spines were noticed in the schizophrenic brains. Neuronal density and cortical thickness The depth of the molecular layer was severely lower in the schizophrenic brains. Although there was loss of Purkinje cells in schizophrenic group, this was not statistically significant. Empty baskets, which are visible due to loss of Purkinje cells in schizophrenic brains, were also noticed (Figure 3E). Figure 1 – Total dendritic length in μm (A), number of terminal branches (B), daughter ratio (C) and average bifurcation tilt (D) of the Purkinje cells from normal controls and schizophrenic brains. Error bars indicate standard deviation. 422 Ioannis Asterios Mavroudis et al. Figure 2 – Dendritic area in μm2 (A), dendritic volume in μm3 (B), Sholl analysis (C) and density of dendritic spines which refers to the number of spines per 10 μm (D) of the Purkinje cells from normal controls and schizophrenic brains. Error bars indicate standard deviation. Figure 3 – 3D reconstruction of a Purkinje cells (A), example of color masks after Sholl analysis of a Purkinje cells (B), where different colors corresponds to different dendritic density, dendritic segment from Purkinje cells from schizophrenic (C) and normal control brains (D). Empty baskets are visible due to loss of Purkinje cells in schizophrenic brains (E). Golgi method staining: ×1000 (C and D); ×400 (E). Purkinje cells pathology in schizophrenia. A morphometric approach  Discussion There have been only a few morphometric studies about Purkinje cells in schizophrenia, however to our knowledge this is the first study to reveal the morphological changes of the Purkinje cells dendritic fields and spines in schizophrenia. Lingärde et al. (2000) and Tran et al. (1998) found no significant difference in linear density in schizophrenia, while the latter found significantly smaller cross-sectional areas of Purkinje cells and significant correlations between Purkinje cell size and scores on the Mini-Mental State, the Brief Psychiatric Rating Scale and the dose of the antipsychotic drug that patients were on [25, 36]. In the present study, we revealed significant morphological alterations in schizophrenic brains in comparison to normal controls using Golgi method and 3D reconstruction of Purkinje cells. Schizophrenic brains revealed a severe loss of distal and terminal dendritic branches and an overall reduction of total dendritic length. Purkinje cells from the schizophrenic group showed a significant decrease of spinal density, as well as certain morphological alterations of the remaining dendritic spines. Besides dendritic and spinal loss, specific changes were also noticed at the level of Purkinje cells dendritic tree formation and orientation in schizophrenic brains. Although the thickness of the molecular layer was severely decreased in schizophrenic brains, there was no statistical significance in the linear Purkinje cell density, a finding that confirms the findings of previous studies of Lingärde et al. (2000) and Tran et al. (1998) [25, 36]. The dendritic and spinal changes described in the present study are not specific to schizophrenia, since they have been noted in Purkinje cells in patients with hereditary ataxias [37], in chronic alcoholics [38], in Alzheimer’s disease [27] and in essential tremor [39]. Furthermore, the reduction in dendritic arborization is a structural change associated with dysfunction, and is thought to precede neuronal death [38]. The morphological changes found in here may be related to molecular and gene abnormalities described by previous studies in schizophrenia, and might be the morphological background of a number of symptoms in schizophrenic patients, while the loss of distal dendrites and dendritic spines seen in thick sections of Golgi stained material, leads to a substantial decrease of the synaptic area and synaptic contacts of the Purkinje cells and this could contribute to motor and cognitive symptoms of schizophrenia.  Conclusions This study is the first about morphological changes of the Purkinje cells in schizophrenia. The present findings may be added to accumulated evidence on macroscopic and microscopic pathology of the cerebellum in schizophrenia. Morphological alterations of Purkinje cells seem to be a central feature of neuropathology of schizophrenia, reflecting to impairment of neuronal connectivity and functionality, and related to motor and cognitive symptoms. Conflict of interests There is no conflict of interests. 423 References [1] Andreasen NC. Symptoms, signs, and diagnosis of schizophrenia. Lancet, 1995, 346(8973):477–481. [2] McKenna K, Gordon CT, Rapoport JL. Childhood-onset schizophrenia: timely neurobiological research. J Am Acad Child Adolesc Psychiatry, 1994, 33(6):771–781. [3] Andreasen NC, Carpenter WT Jr, Kane JM, Lasser RA, Marder SR, Weinberger DR. Remission in schizophrenia: proposed criteria and rationale for consensus. Am J Psychiatry, 2005, 162(3):441–449. [4] Chen EY, Shapleske J, Luque R, McKenna PJ, Hodges JR, Calloway SP, Hymas NF, Dening TR, Berrios GE. The Cambridge Neurological Inventory: a clinical instrument for assessment of soft neurological signs in psychiatric patients. Psychiatry Res, 1995, 56(2):183–204. [5] Levy DL, Holzman PS, Matthysse S, Mendell NR. Eye tracking and schizophrenia: a selective review. Schizophr Bull, 1994, 20(1):47–62. [6] Heinrichs DW, Buchanan RW. Significance and meaning of neurological signs in schizophrenia. Am J Psychiatry, 1988, 145(1):11–18. [7] Thaker GK, Ross DE, Cassady SL, Adami HM, Medoff DR, Sherr J. Saccadic eye movement abnormalities in relatives of patients with schizophrenia. Schizophr Res, 2000, 45(3): 235–244. [8] Flaum M, Arndt S, Andreasen NC. The role of gender in studies of ventricle enlargement in schizophrenia: a predominantly male effect. Am J Psychiatry, 1990, 147(10):1327– 1332. Comment in: ***. Gender differences in schizophrenia. Am J Psychiatry, 1991, 148(12):1754–1756. [9] Haug JO. Pneumoencephalographic evidence of brain atrophy in acute and chronic schizophrenic patients. Acta Psychiatr Scand, 1982, 66(5):374–383. [10] Jacobs B, Driscoll L, Schall M. Life-span dendritic and spine changes in areas 10 and 18 of human cortex: a quantitative Golgi study. J Comp Neurol, 1997, 386(4):661–680. [11] Johnstone EC, Bruton CJ, Crow TJ, Frith CD, Owens DG. Clinical correlates of postmortem brain changes in schizophrenia: decreased brain weight and length correlate with indices of early impairment. J Neurol Neurosurg Psychiatry, 1994, 57(4):474–479. [12] Katsetos CD, Hyde TM, Herman MM. Neuropathology of the cerebellum in schizophrenia – an update: 1996 and future directions. Biol Psychiatry, 1997, 42(3):213–224. [13] Rajkowska G, Selemon LD, Goldman-Rakic PS. Neuronal and glial somal size in the prefrontal cortex: a postmortem morphometric study of schizophrenia and Huntington disease. Arch Gen Psychiatry, 1998, 55(3):215–224. [14] Konarski JZ, McIntyre RS, Grupp LA, Kennedy SH. Is the cerebellum relevant in the circuitry of neuropsychiatric disorders? J Psychiatry Neurosci, 2005, 30(3):178–186. [15] Picard H, Amado I, Mouchet-Mages S, Olié JP, Krebs MO. The role of the cerebellum in schizophrenia: an update of clinical, cognitive, and functional evidences. Schizophr Bull, 2008, 34(1):155–172. [16] Thomann PA, Wustenberg T, Santos VD, Bachmann S, Essig M, Schröder J. Neurological soft signs and brain morphology in first-episode schizophrenia. Psychol Med, 2008, 39(3):371–379. [17] Venkatasubramanian G, Jayakumar PN, Gangadhar BN, Keshavan MS. Neuroanatomical correlates of neurological soft signs in antipsychotic-naïve schizophrenia. Psychiatry Res, 2008, 164(3):215–222. [18] Andreasen NC, Pierson R. The role of the cerebellum in schizophrenia. Biol Psychiatry, 2008, 64(2):81–88. [19] Gruber O, von Cramon DY. The functional neuroanatomy of human working memory revisited. Evidence from 3-T fMRI studies using classical domain-specific interference tasks. Neuroimage, 2003, 19(3):797–809. [20] Ichimiya T, Okubo Y, Suhara T, Sudo Y. Reduced volume of the cerebellar vermis in neuroleptic-naïve schizophrenia. Biol Psychiatry, 2001, 49(1):20–27. [21] Kim SG, Uğurbil K, Strick PL. Activation of a cerebellar output nucleus during cognitive processing. Science, 1994, 265(5174): 949–951. [22] Molinari M, Leggio MG. Cerebellar information processing and visuospatial functions. Cerebellum, 2007, 6(3):214–220. 424 Ioannis Asterios Mavroudis et al. [23] Okugawa G, Sedvall G, Nordström M, Andreasen N, Pierson R, Magnotta V, Agartz I. Selective reduction of the posterior superior vermis in men with chronic schizophrenia. Schizophr Res, 2002, 55(1–2):61–67. [24] Volz H, Gaser C, Sauer H. Supporting evidence for the model of cognitive dysmetria in schizophrenia – a structural magnetic resonance imaging study using deformation-based morphometry. Schizophr Res, 2000, 46(1):45–56. [25] Tran KD, Smutzer GS, Doty RL, Arnold SE. Reduced Purkinje cell size in the cerebellar vermis of elderly patients with schizophrenia. Am J Psychiatry, 1998, 155(9):1288–1290. [26] Maloku E, Covelo IR, Hanbauer I, Guidotti A, Kadriu B, Hu Q, Davis JM, Costa E. Lower number of cerebellar Purkinje neurons in psychosis is associated with reduced reelin expression. Proc Natl Acad Sci U S A, 2010, 107(9):4407– 4411. [27] Mavroudis IA, Manani MG, Petrides F, Petsoglou K, Njau SD, Costa VG, Baloyannis SJ. Dendritic and spinal pathology of the Purkinje cells from the human cerebellar vermis in Alzheimer’s disease. Psychiatr Danub, 2013, 25(3):221–226. [28] Mavroudis IA, Fotiou DF, Adipepe LF, Manani MG, Njau SD, Psaroulis D, Costa VG, Baloyannis SJ. Morphological changes of the human Purkinje cells and deposition of neuritic plaques and neurofibrillary tangles on the cerebellar cortex of Alzheimer’s disease. Am J Alzheimers Dis Other Demen, 2010, 25(7):585– 591. [29] ***. Research Deontology Principles, Aristotle University of nd Thessaloniki. 2 edition, Thessaloniki, Greece, 2010. [30] American Psychiatric Association. Diagnostic and statistical manual of mental disorders: DSM-IV. American Psychiatric Publishing, Inc., Washington, DC, 2000 (Retrieved: 200807-04). [31] Mavroudis IA, Manani MG, Petrides F, Petsoglou C, Njau SN, Costa VG, Baloyannis SJ. Dendritic and spinal alterations of neurons from Edinger–Westphal nucleus in Alzheimer’s disease. Folia Neuropathol, 2014, 52(2):197–204. [32] Myatt DR, Hadlington T, Ascoli GA, Nasuto SJ. Neuromantic – from semi-manual to semi-automatic reconstruction of neuron morphology. Front Neuroinform, 2012, 6:4. [33] Uylings HBM, Van Eden CG, Parnavelas JG, Kalsbeek A. The prenatal and postnatal development of rat cerebral cortex. In: Kolb B, Tees RC (eds). The cerebral cortex of the rat. MIT Press, Cambridge, 1990, 35–76. [34] Sholl DA. The organization of the visual cortex in the cat. J Physiol, 1955, 89(Pt 1):33–46. [35] Williams RS, Ferrante RJ, Caviness VS Jr. The Golgi rapid method in clinical neuropathology: morphological consequences of suboptimal fixation. J Neuropathol Exp Neurol, 1978, 37(1):13–33. [36] Lingärde B, Jönsson SA, Luts A, Brun A. Cerebellar abnormalities in mental illness. A study on Purkinje cell density in schizophrenic men. Eur Child Adolesc Psychiatry, 2000, 9(1): 21–25. [37] Shintaku M, Kaneda D. Chromosome 16q22.1-linked autosomal dominant cerebellar ataxia: an autopsy case report with some new observations on cerebellar pathology. Neuropathology, 2009, 29(3):285–292. [38] Ferrer I, Fabregues I, Pineda M, Gracia I, Ribalta T. A Golgi study of cerebellar atrophy in human chronic alcoholism. Neuropathol Appl Neurobiol, 1984, 10(4):245–253. [39] Louis ED, Lee M, Babij R, Ma K, Cortés E, Vonsattel JP, Faust PL. Reduced Purkinje cell dendritic arborization and loss of dendritic spines in essential tremor. Brain, 2014, 137(12):3142–3148. Corresponding author Ioannis Asterios Mavroudis, Laboratory of Neuropathology and Electron Microscopy, AHEPA Hospital, 1 Kyriakidi Street, 54636 Thessaloniki, Greece; e-mail: [email protected] Received: December 13, 2016 Accepted: July 15, 2017