nach oben

Erschienen in:

01.09.2011 | Original Article

Linking coordinative and executive dysfunctions to atrophy in spinocerebellar ataxia 2 patients

verfasst von: Federico D’Agata, Paola Caroppo, Andrea Boghi, Mario Coriasco, Marcella Caglio, Bruno Baudino, Katiuscia Sacco, Franco Cauda, Elisabetta Geda, Mauro Bergui, Giuliano Geminiani, Gianni Boris Bradac, Laura Orsi, Paolo Mortara

Erschienen in: Brain Structure and Function | Ausgabe 3/2011

Einloggen, um Zugang zu erhalten

Abstract

Spinocerebellar ataxias type 2 (SCA2) is a rare genetic disorder characterised by the degeneration of the Cerebellum, its connections and many Brainstem areas. A voxel-based morphometry (VBM) analysis was performed on 12 genetically determined SCA2 patients and 31 controls, normalising the brains with two different atlases: one was created in-house with DARTEL (a diffeomorphic registration method) and the other was SUIT (an exclusive Cerebellum atlas). We administered two versions of a popular executive/planning functions test: the Tower of London, in the traditional and in a computerised version that does not require the use of hands, to correlate the regional atrophy with the tests’ performances and to discover the different associations of Cerebellum’s areas to cognitive dysfunctions. SCA2 showed a diffuse infratentorial atrophy with the whole Cerebellum and Brainstem affected, the overall patterns were highly overlapping between atlases with some minor differences. The DARTEL VBM also allowed detecting two sovratentorial clusters of atrophy, one in the left Inferior Parietal Lobule and the other in the Corticospinal Tracts. Additional analyses revealed a partial involvement of many White Matter tracts and of the Thalamus in the pathology. The classical Tower of London version correlated maximally with the right Lobule IV–V, when the computerised version correlated with the right Crus 1. The correlations of different versions of the test suggested a dissociation between the dysfunctions in SCA2: the Posterior Cerebellum was linked to the executive dysfunction while the Anterior Cerebellum was linked to the coordinative dysfunction.

Nur mit Berechtigung zugänglich

Andreasen NC, Rezai K, Alliger R et al (1992) Hypofrontality in neuroleptic-naïve patients and in patients with chronic schizophrenia. Assessment with xenon 133 single-photon emission computed tomography and the Tower of London. Arch Gen Psychiatry 49:943–958PubMed

Ashburner J (2007) A fast diffeomorphic image registration algorithm. NeuroImage 38(1):95–113. doi:10.1016/j.neuroimage.2007.07.007 PubMedCrossRef

Ashburner J, Friston KJ (2000) Voxel-based morphometry—the methods. NeuroImage 11(6 Pt 1):805–821. doi:10.1006/nimg.2000.0582 PubMedCrossRef

Ashburner J, Friston KJ (2005) Unified segmentation. NeuroImage 26(3):839–851. doi:10.1016/j.neuroimage.2005.02.018 PubMedCrossRef

Baker SC, Rogers RD, Owen AM, Frith CD, Dolan RJ, Frackowiak RS, Robbins TW (1996) Neural systems engaged by planning: a PET study of the Tower of London task. Neuropsychologia 34:515–526PubMedCrossRef

Beauchamp MH, Dagher A, Aston JAD, Doyon J (2003) Dynamic functional changes associated with cognitive skill learning of an adapted version of the Tower of London task. NeuroImage 20(3):1649–1660. doi:10.1016/j.neuroimage.2003.07.003 PubMedCrossRef

Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I (2001) Controlling the false discovery rate in behavior genetics research. Behav Brain Res 125(1–2):279–284PubMedCrossRef

Bergouignan L, Chupin M, Czechowska Y, Kinkingnéhun S, Lemogne C, Le Bastard G et al (2009) Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression? NeuroImage 45(1):29–37. doi:10.1016/j.neuroimage.2008.11.006 PubMedCrossRef

Boghi A, Rasetti R, Avidano F, Manzone C, Orsi L, D’Agata F et al (2006) The effect of gender on planning: an fMRI study using the Tower of London task. NeuroImage 33(3):999–1010. doi:10.1016/j.neuroimage.2006.07.022 PubMedCrossRef

Brenneis C, Bösch SM, Schocke M, Wenning GK, Poewe W (2003) Atrophy pattern in SCA2 determined by voxel-based morphometry. Neuroreport 14(14):1799–1802. doi:10.1097/01.wnr.0000094105.16607.18 PubMedCrossRef

Brett M, Anton JL, Valabregue R, Poline JB (2002) Region of interest analysis using an SPM toolbox. In: 8th international conference on functional mapping of the human brain, vol 16, no 2, abstract 497. Sendai, Japan, Neuroimage

Brusco A, Gellera C, Cagnoli C, Saluto A, Castucci A, Michielotto C et al (2004) Molecular genetics of hereditary spinocerebellar ataxia: mutation analysis of spinocerebellar ataxia genes and CAG/CTG repeat expansion detection in 225 Italian families. Arch Neurol 61(5):727–733. doi:10.1001/archneur.61.5.727 PubMedCrossRef

Bürk K (2007) Cognition in hereditary ataxia. Cerebellum 6(3):280–286. doi:10.1080/14734220601115924 PubMedCrossRef

Bürk K, Globas C, Bosch S, Graber S, Abele M, Brice A et al (1999) Cognitive deficits in spinocerebellar ataxia 2. Brain 122(Pt 4):769–777PubMedCrossRef

Bürk K, Globas C, Bösch S, Klockgether T, Zühlke C, Daum I et al (2003) Cognitive deficits in spinocerebellar ataxia type 1, 2, and 3. J Neurol 250(2):207–211. doi:10.1007/s00415-003-0976-5 PubMedCrossRef

Cuingnet R, Gérardin E, Tessieras J, Auzias G, Lehéricy S, Habert MO, et al. (2010). Automatic classification of patients with Alzheimer’s disease from structural MRI: A comparison of ten methods using the ADNI database. NeuroImage. doi:10.1016/j.neuroimage.2010.06.013

Dagher A, Owen AM, Boecker H, Brooks DJ (1999) Mapping the network for planning: a correlational PET activation study with the Tower of London task. Brain 122:1973–1987PubMedCrossRef

Della Nave R, Ginestroni A, Tessa C, Cosottini M, Giannelli M, Salvatore E et al (2008a) Brain structural damage in spinocerebellar ataxia type 2. A voxel-based morphometry study. Mov Disord 23(6):899–903. doi:10.1002/mds.21982 PubMedCrossRef

Della Nave R, Ginestroni A, Tessa C, Salvatore E, De Grandis D, Plasmati R et al (2008b) Brain white matter damage in SCA1 and SCA2. An in vivo study using voxel-based morphometry, histogram analysis of mean diffusivity and tract-based spatial statistics. NeuroImage 43(1):10–19. doi:10.1016/j.neuroimage.2008.06.036 PubMedCrossRef

Diedrichsen J (2006) A spatially unbiased atlas template of the human cerebellum. NeuroImage 33(1):127–138. doi:10.1016/j.neuroimage.2006.05.056 PubMedCrossRef

Diedrichsen J, Balsters JH, Flavell J, Cussans E, Ramnani N (2009) A probabilistic MR atlas of the human cerebellum. NeuroImage 46(1):39–46. doi:10.1016/j.neuroimage.2009.01.045 PubMedCrossRef

Dürr A (2010) Autosomal dominant cerebellar ataxias: polyglutamine expansions and beyond. Lancet Neurology 9(9):885–894PubMedCrossRef

Dürr A, Smadja D, Cancel G, Lezin A, Stevanin G, Mikol J, et al. (1995) Autosomal dominant cerebellar ataxia type I in Martinique (French West Indies). Clinical and neuropathological analysis of 53 patients from three unrelated SCA2 families. Brain 118 (Pt 6):1573–1581. http://www.ncbi.nlm.nih.gov/pubmed/8595486

Eickhoff SB, Stephan KE, Mohlberg H, Grefkes C, Fink GR, Amunts K et al (2005) A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage 25(4):1325–1335. doi:10.1016/j.neuroimage.2004.12.034 PubMedCrossRef

Estrada R, Galarraga J, Orozco G, Nodarse A, Auburger G (1999) Spinocerebellar ataxia 2 (SCA2): morphometric analyses in 11 autopsies. Acta Neuropathol 97(3):306–310PubMedCrossRef

Fincham JM, Carter CS, van Veen V, Stenger VA, Anderson JR (2002) Neural mechanisms of planning: a computational analysis using event-related fMRI. Proc Natl Acad Sci USA 99(5):3346–3351PubMedCrossRef

Finner H (1990) Some new inequalities for the Rnad distribution with application to the determination of optimum significance levels of Multiple Range Tests. J Am Stat Assoc 85:191–194CrossRef

Finner H (1993) On a monotonicity problem in Step-Down Multiple Test Procedures. J Am Stat Assoc 88:920–923CrossRef

Folstein MF, Folstein SE, McHugh PR (1975) “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12(3):189–198. doi:0022-3956(75)90026-6 PubMedCrossRef

Giuffrida S, Saponara R, Restivo DA, Trovato Salinaro A, Tomarchio L, Pugliares P et al (1999) Supratentorial atrophy in spinocerebellar ataxia type 2: MRI study of 20 patients. J Neurol 246(5):383–388PubMedCrossRef

Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage 14(1 Pt 1):21–36. doi:10.1006/nimg.2001.0786 PubMedCrossRef

Keihaninejad S, Heckemann RA, Fagiolo G, Symms, Hajnal JV, Hammers A (2010) A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T). NeuroImage 50(4):1427–1437. doi:10.1016/j.neuroimage.2010.01.064 PubMedCrossRef

Kiebel SJ, Poline JB, Friston KJ, Holmes AP, Worsley KJ (1999) Robust smoothness estimation in statistical parametric maps using standardized residuals from the general linear model. NeuroImage 10(6):756–766. doi:10.1006/nimg.1999.0508 PubMedCrossRef

Klein A, Andersson J, Ardekani BA, Ashburner J, Avants B, Chiang MC et al (2009) Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration. NeuroImage 46(3):786–802. doi:10.1016/j.neuroimage.2008.12.037 PubMedCrossRef

Klinke I, Minnerop M, Schmitz-Hübsch T, Hendriks M, Klockgether T, Wüllner U et al (2010) Neuropsychological features of patients with spinocerebellar ataxia (SCA) Types 1, 2, 3, and 6. Cerebellum 9(3):433–442PubMedCrossRef

Klockgether T, Ludtke R, Kramer B, Abele M, Burk K, Schöls L et al (1998) The natural history of degenerative ataxia: a retrospective study in 466 patients. Brain 121(Pt 4):589–600PubMedCrossRef

Kubis N, Dürr A, Gugenheim M, Chneiweiss H, Mazzetti P, Brice A et al (1999) Polyneuropathy in autosomal dominant cerebellar ataxias: phenotype-genotype correlation. Muscle Nerve 22(6):712–717PubMedCrossRef

Lazeron RH, Rombouts SA, Machielsen WC, Scheltens P, Witter MP, Uylings HB, Barkhof F (2000) Visualizing brain activation during planning: the Tower of London test adapted for functional MR imaging. Am J Neuroradiol 21:1407–1414PubMed

Le Pira F, Zappala G, Saponara R, Domina E, Restivo D, Reggio E et al (2002) Cognitive findings in spinocerebellar ataxia type 2: relationship to genetic and clinical variables. J Neurol Sci 201(1–2):53–57. doi:S0022510X02001946 PubMedCrossRef

Le Pira F, Giuffrida S, Maci T, Marturano L, Tarantello R, Zappala G et al (2007) Dissociation between motor and cognitive impairments in SCA2: evidence from a follow-up study. J Neurol 254(10):1455–1456. doi:10.1007/s00415-007-0548-1 PubMedCrossRef

Measso G, Cavarzeran F, Zappalà G, Lebwitz BD, Crook TH, Pirozzolo FJ, Amaducci LA, Massari D, Grigoletto F (1993) The mini-mental state examination: normative study of italian random sample. Dev Neuropsychol 9(2):77–85CrossRef

Mori S, van Zijl P (2007) Human white matter atlas. Am J Psychiatr 164(7):1005. doi:10.1176/appi.ajp.164.7.1005 PubMedCrossRef

Morris RG, Ahmed S, Syed GM (1993) Neural correlates of planning ability: frontal lobe activation during the Tower of London test. Neuropsychologia 31:1367–1378PubMedCrossRef

Nardacchione A, Orsi L, Brusco A, Franco A, Grosso E, Dragone E et al (1999) Definition of the smallest pathological CAG expansion in SCA7. Clin Genet 56(3):232–234PubMedCrossRef

Newman SD, Carpenter PA, Varma S, Just MA (2003) Frontal and parietal participation in problem solving in the Tower of London: fMRI and computational modeling of planning and high-level perception. Neuropsychologia 41(12):1668–1682PubMedCrossRef

Orsi L, D’Agata F, Caroppo P, Franco A, Caglio MM, Avidano F et al (2010) Neuropsychological picture of 33 spinocerebellar ataxia cases. Journal of Clinical and Experimental Neuropsychology. 33:315–325. doi:10.1080/13803395.2010.518139 CrossRef

Pang JT, Giunti P, Chamberlain S, An SF, Vitaliani R, Scaravilli T et al (2002) Neuronal intranuclear inclusions in SCA2: a genetic, morphological and immunohistochemical study of two cases. Brain 125(Pt 3):656–663PubMedCrossRef

Pell GS, Briellmann RS, Chan CHP, Pardoe H, Abbott DF, Jackson GD (2008) Selection of the control group for VBM analysis: influence of covariates, matching and sample size. NeuroImage 41(4):1324–1335. doi:10.1016/j.neuroimage.2008.02.050 PubMedCrossRef

Pereira JMS, Xiong L, Acosta-Cabronero J, Pengas G, Williams GB, Nestor PJ (2010) Registration accuracy for VBM studies varies according to region and degenerative disease grouping. NeuroImage 49(3):2205–2215. doi:10.1016/j.neuroimage.2009.10.068 PubMedCrossRef

Plumet J, Gil R, Gaonac’h D (2005) Neuropsychological assessment of executive functions in women: effects of age and education. Neuropsychology 19(5):566–577. doi:10.1037/0894-4105.19.5.566 PubMedCrossRef

Rasser PE, Johnston P, Lagopoulos J, Ward PB, Schall U, Thienel R et al (2005) Functional MRI BOLD response to Tower of London performance of first-episode schizophrenia patients using cortical pattern matching. NeuroImage 26:941–951PubMedCrossRef

Rüb U, Del Turco D, Del Tredici K, de Vos RAI, Brunt ER, Reifenberger G et al (2003a) Thalamic involvement in a spinocerebellar ataxia type 2 (SCA2) and a spinocerebellar ataxia type 3 (SCA3) patient, and its clinical relevance. Brain 126(Pt 10):2257–2272. doi:10.1093/brain/awg234 PubMedCrossRef

Rüb U, Schultz C, Del Tredici K, Gierga K, Reifenberger G, de Vos RAI et al (2003b) Anatomically based guidelines for systematic investigation of the central somatosensory system and their application to a spinocerebellar ataxia type 2 (SCA2) patient. Neuropathol Appl Neurobiol 29(5):418–433PubMedCrossRef

Rüb U, Del Turco D, Bürk K, Diaz GO, Auburger G, Mittelbronn M et al (2005) Extended pathoanatomical studies point to a consistent affection of the thalamus in spinocerebellar ataxia type 2. Neuropathol Appl Neurobiol 31(2):127–140. doi:10.1111/j.1365-2990.2004.00617.x PubMedCrossRef

Rüb U, Seidel K, Ozerden I, Gierga K, Brunt ER, Schöls L et al (2007) Consistent affection of the central somatosensory system in spinocerebellar ataxia type 2 and type 3 and its significance for clinical symptoms and rehabilitative therapy. Brain research reviews 53(2):235–249. doi:10.1016/j.brainresrev.2006.08.003 PubMedCrossRef

Rumiati RI, Papeo L, Corradi-Dell’Acqua C (2010) Higher-level motor processes. Ann N Y Acad Sci 1191(1):219–241. doi:10.1111/j.1749-6632.2010.05442.x PubMedCrossRef

Schall U, Johnston P, Lagopoulos J, Jüptner M, Jentzen W, Thienel R et al (2003) Functional brain maps of Tower of London performance: a positron emission tomography and functional magnetic resonance imaging study. NeuroImage 20(2):1154–1161. doi:10.1016/S1053-8119(03)00338-0 PubMedCrossRef

Schmahmann JD (2010) The role of the cerebellum in cognition and emotion: personal reflections since 1982 on the dysmetria of thought hypothesis, and its historical evolution from theory to therapy. Neuropsychol Rev 20(3):236–260. doi:10.1007/s11065-010-9142-x PubMedCrossRef

Schmahmann JD, Doyon J, McDonald D, Holmes C, Lavoie K, Hurwitz AS et al (1999) Three-dimensional MRI atlas of the human cerebellum in proportional stereotaxic space. NeuroImage 10(3 Pt 1):233–260. doi:10.1006/nimg.1999.0459 PubMedCrossRef

Schmitz-Hübsch T, Tezenas du Montcel S, Baliko L, Boesch S, Bonato S, Fancellu R et al (2006) Reliability and validity of the International Cooperative Ataxia Rating Scale: a study in 156 spinocerebellar ataxia patients. Mov Disord 21(5):699–704. doi:10.1002/mds.20781 PubMedCrossRef

Schöls L, Bauer P, Schmidt T, Schulte T, Riess O (2004) Autosomal dominant cerebellar ataxias: clinical features, genetics, and pathogenesis. Lancet Neurol 3(5):291–304. doi:10.1016/S1474-4422(04)00737-9 PubMedCrossRef

Shallice T (1982) Specific impairments of planning. Philos Trans R Soc Lond B Biol Sci 298(1089):199–209PubMedCrossRef

Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE et al (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. NeuroImage 31(4):1487–1505. doi:10.1016/j.neuroimage.2006.02.024 PubMedCrossRef

Soong BW, Paulson HL (2007) Spinocerebellar ataxias: an update. Curr Opin Neurol 20(4):438–446. doi:10.1097/WCO.0b013e3281fbd3dd PubMedCrossRef

Stoodley CJ, Schmahmann JD (2009) Functional topography in the human cerebellum: a meta-analysis of neuroimaging studies. NeuroImage 44(2):489–501. doi:10.1016/j.neuroimage.2008.08.039 PubMedCrossRef

Stoodley CJ, Schmahmann JD (2010) Evidence for topographic organization in the cerebellum of motor control versus cognitive and affective processing. Cortex 46(7):831–844. doi:10.1016/j.cortex.2009.11.008 PubMedCrossRef

Stoodley CJ, Valera EM, Schmahmann JD (2010) An fMRI study of intra-individual functional topography in the human cerebellum. Behav Neurol 23(1–2):65–79. doi:10.3233/BEN-2010-0268 PubMed

Trouillas P, Takayanagi T, Hallett M, Currier RD, Subramony SH, Wessel K et al (1997) International Cooperative Ataxia Rating Scale for pharmacological assessment of the cerebellar syndrome. The Ataxia Neuropharmacology Committee of the World Federation of Neurology. J Neurol Sci 145(2):205–211. doi:S0022510X96002316 PubMedCrossRef

Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N et al (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15(1):273–289. doi:10.1006/nimg.2001.0978 PubMedCrossRef

Van den Heuvel OA, Groenewegen HJ, Barkhof F, Lazeron RHC, van Dyck R, Veltman DJ (2003) Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of Tower of London task. NeuroImage 18:367–374PubMedCrossRef

Ying SH, Choi SI, Perlman SL, Baloh RW, Zee DS, Toga AW (2006) Pontine and cerebellar atrophy correlate with clinical disability in SCA2. Neurology 66(3):424–426. doi:10.1212/01.wnl.0000196464.47508.00 PubMedCrossRef

Zung WW (1965) A Self-Rating Depression Scale. Arch Gen Psychiatry 12:63–70PubMed

Titel: Linking coordinative and executive dysfunctions to atrophy in spinocerebellar ataxia 2 patients
verfasst von: Federico D’Agata
Paola Caroppo
Andrea Boghi
Mario Coriasco
Marcella Caglio
Bruno Baudino
Katiuscia Sacco
Franco Cauda
Elisabetta Geda
Mauro Bergui
Giuliano Geminiani
Gianni Boris Bradac
Laura Orsi
Paolo Mortara
Publikationsdatum: 01.09.2011
Verlag: Springer-Verlag
Erschienen in: Brain Structure and Function / Ausgabe 3/2011
Print ISSN: 1863-2653
Elektronische ISSN: 1863-2661
DOI: https://doi.org/10.1007/s00429-011-0310-4

Leitlinien kompakt für die Neurologie

Mit medbee Pocketcards sicher entscheiden.

^{Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag}

Kostenlos registrieren

Neu im Fachgebiet Neurologie

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Frühe Alzheimertherapie lohnt sich

25.04.2024 AAN-Jahrestagung 2024 Nachrichten

Ist die Tau-Last noch gering, scheint der Vorteil von Lecanemab besonders groß zu sein. Und beginnen Erkrankte verzögert mit der Behandlung, erreichen sie nicht mehr die kognitive Leistung wie bei einem früheren Start. Darauf deuten neue Analysen der Phase-3-Studie Clarity AD.

Viel Bewegung in der Parkinsonforschung

25.04.2024 Parkinson-Krankheit Nachrichten

Neue arznei- und zellbasierte Ansätze, Frühdiagnose mit Bewegungssensoren, Rückenmarkstimulation gegen Gehblockaden – in der Parkinsonforschung tut sich einiges. Auf dem Deutschen Parkinsonkongress ging es auch viel um technische Innovationen.

Demenzkranke durch Antipsychotika vielfach gefährdet

23.04.2024 Demenz Nachrichten

Wenn Demenzkranke aufgrund von Symptomen wie Agitation oder Aggressivität mit Antipsychotika behandelt werden, sind damit offenbar noch mehr Risiken verbunden als bislang angenommen.

Update Neurologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.

Newsletter bestellen

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2011

Relationships between hippocampal microstructure, metabolism, and function in early Alzheimer’s disease

Does the left superior longitudinal fascicle subserve language semantics? A brain electrostimulation study

Age-related changes of neuron numbers in the frontal cortex of a transgenic mouse model of Alzheimer’s disease

Simultaneous Golgi-Cox and immunofluorescence using confocal microscopy

The receptor architecture of the pigeons’ nidopallium caudolaterale: an avian analogue to the mammalian prefrontal cortex