Skip to main content
Log in

Cerebello-cerebral connectivity deficits in Friedreich ataxia

  • Original Article
  • Published:
Brain Structure and Function Aims and scope Submit manuscript

Abstract

Brain pathology in Friedreich ataxia is characterized by progressive degeneration of nervous tissue in the brainstem, cerebellum and cerebellar peduncles. Evidence of cerebral involvement is however equivocal. This brain imaging study investigates cerebello-cerebral white matter connectivity in Friedreich ataxia with diffusion MRI and tractography performed in 13 individuals homozygous for a GAA expansion in intron one of the frataxin gene and 14 age- and gender-matched control participants. New evidence is presented for disrupted cerebello-cerebral connectivity in the disease, leading to secondary effects in distant cortical and subcortical regions. Remote regions affected by primary cerebellar and brainstem pathology include the supplementary motor area, cingulate cortex, frontal cortices, putamen and other subcortical nuclei. The connectivity disruptions identified provide an explanation for some of the non-ataxic symptoms observed in the disease and support the notion of reverse cerebellar diaschisis. This is the first study to comprehensively map white matter connectivity disruptions in Friedreich ataxia using tractography, connectomic techniques and super-resolution track density imaging.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Akhlaghi H, Corben L, Georgiou-Karistianis N, Bradshaw J, Storey E, Delatycki MB, Egan GF (2011) Superior cerebellar peduncle atrophy in Friedreich’s ataxia correlates with disease symptoms. Cerebellum 10(1):81–87

    Article  PubMed  Google Scholar 

  • Akhlaghi H, Corben L, Georgiou-Karistianis N, Bradshaw J, Delatycki MB, Storey E, Egan GF (2012) A functional MRI study of motor dysfunction in Friedreich’s ataxia. Brain Res 1471:138–154

    Article  CAS  PubMed  Google Scholar 

  • Al-Mahdawi S, Pinto RM, Varshney D, Lawrence L, Lowrie MB, Hughes S, Webster Z, Blake J, Cooper JM, King R, Pook MA (2006) GAA repeat expansion mutation mouse models of Friedreich ataxia exhibit oxidative stress leading to progressive neuronal and cardiac pathology. Genomics 88:580–590

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Barrick TR, Lawes IN, Hall MG, Clark CA (2005) Quantification of white matter pathway volume from diffusion tensor tractography. Proc Intl Soc Mag Reson Med 13:1348

    Google Scholar 

  • Bassett DS, Bullmore ET (2009) Human brain networks in health and disease. Curr Opin Neurol 22(4):340–347

    Article  PubMed Central  PubMed  Google Scholar 

  • Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J (1961) An inventory for measuring depression. Arch Gen Psychiatry 4:561–571

    Article  CAS  PubMed  Google Scholar 

  • Behrens TE, Berg HJ, Jbabdi S, Rushworth MF, Woolrich MW (2007) Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34(1):144–155

    Article  CAS  PubMed  Google Scholar 

  • Bozzali M, Parker GJ, Serra L, Embleton K, Gili T, Perri R, Caltagirone C, Cercignani M (2011) Anatomical connectivity mapping: a new tool to assess brain disconnection in Alzheimer’s disease. Neuroimage 54(3):2045–2051

    Article  PubMed  Google Scholar 

  • Calamante F, Tournier JD, Jackson GD, Connelly A (2010) Track-density imaging (TDI): super-resolution white matter imaging using whole-brain track-density mapping. Neuroimage 53(4):1233–1243

    Article  PubMed  Google Scholar 

  • Calamante F, Tournier JD, Heidemann RM, Anwander A, Jackson GD, Connelly A (2011) Track density imaging (TDI): validation of super resolution property. Neuroimage 56(3):1259–1266

    Article  PubMed  Google Scholar 

  • Calamante F, Tournier JD, Kurniawan ND, Yang Z, Gyengesi E, Galloway GJ, Reutens DC, Connelly A (2012) Super-resolution track-density imaging studies of mouse brain: comparison to histology. Neuroimage 59(1):286–296

    Article  PubMed  Google Scholar 

  • Catani M, Howard RJ, Pajevic S, Jones DK (2002) Virtual in vivo interactive dissection of white matter fasciculi in the human brain. Neuroimage 17:77–94

    Article  PubMed  Google Scholar 

  • Conturo TE, Lori NF, Cull TS, Akbudak E, Snyder AZ, Shimony JS, McKinstry RC, Burton H, Raichle ME (1999) Tracking neuronal fiber pathways in the living human brain. Proc Natl Acad Sci USA 96:10422–10427

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Corben LA, Georgiou-Karistianis N, Fahey MC, Storey E, Churchyard A, Horne M, Bradshaw JL, Delatycki MB (2006) Towards an understanding of cognitive function in Friedreich ataxia. Brain Res Bull 70(3):197–202

    Article  PubMed  Google Scholar 

  • Corben LA, Delatycki MB, Bradshaw JL, Horne MK, Fahey MC, Churchyard AC, Georgiou-Karistianis N (2010) Impairment in motor reprogramming in Friedreich ataxia reflecting possible cerebellar dysfunction. J Neurol 257(5):782–791

    Article  PubMed  Google Scholar 

  • Corben LA, Akhlaghi H, Georgiou-Karistianis N, Bradshaw JL, Egan GF, Storey E, Churchyard AJ, Delatycki MB (2011a) Impaired inhibition of prepotent motor tendencies in friedreich ataxia demonstrated by the simon interference task. Brain Cogn 76(1):140–145

    Article  CAS  PubMed  Google Scholar 

  • Corben LA, Delatycki MB, Bradshaw JL, Churchyard AJ, Georgiou-Karistianis N (2011b) Utilization of advance motor information is impaired in Friedreich ataxia. Cerebellum 10(4):793–803

    Article  PubMed  Google Scholar 

  • Corben LA, Georgiou-Karistianis N, Bradshaw JL, Hocking DR, Churchyard AJ, Delatycki MB (2011c) The Fitts task reveals impairments in planning and online control of movement in Friedreich ataxia: reduced cerebellar-cortico connectivity? Neuroscience 192:382–390

    Article  CAS  PubMed  Google Scholar 

  • da Silva CB, Yasuda CL, D’Abreu A, Cendes F, Lopes-Cendes I, França MC Jr (2012) Neuroanatomical correlates of depression in Friedreich’s ataxia: a voxel-based morphometry study. Cerebellum. In press

  • Della Nave R, Ginestroni A, Tessa C, Salvatore E, Bartolomei I, Salvi F, Dotti MT, De Michele G, Piacentini S, Mascalchi M (2008) Brain white matter tracts degeneration in Friedreich ataxia. An in vivo MRI study using tract-based spatial statistics and voxel-based morphometry. Neuroimage 40(1):19–25

    Article  PubMed  Google Scholar 

  • Della Nave R, Ginestroni A, Diciotti S, Salvatore E, Soricelli A, Mascalchi M (2011) Axial diffusivity is increased in the degenerating superior cerebellar peduncles of Friedreich’s ataxia. Neuroradiology 53(5):367–372

    Article  PubMed  Google Scholar 

  • Dietrich O, Raya JG, Reeder SB, Reiser MF, Schoenberg SO (2007) Measurement of signal-to-noise ratios in MR images: influence of multichannel coils, parallel imaging, and reconstruction filters. J Magn Reson Imaging 26(2):375–385

    Article  PubMed  Google Scholar 

  • Dürr A, Cossee M, Agid Y, Campuzano V, Mignard C, Penet C, Mandel JL, Brice A, Koenig M (1996) Clinical and genetic abnormalities in patients with Friedreich’s ataxia. N Engl J Med 335(16):1169–1175

    Article  PubMed  Google Scholar 

  • Edden RA, Jones DK (2011) Spatial and orientational heterogeneity in the statistical sensitivity of skeleton-based analyses of diffusion tensor MR imaging data. J Neurosci Methods 201(1):213–219

    Article  PubMed Central  PubMed  Google Scholar 

  • Fortuna F, Barboni P, Liguori R, Valentino ML, Savini G, Gellera C, Mariotti C, Rizzo G, Tonon C, Manners D, Lodi R, Sadun AA, Carelli V (2009) Visual system involvement in patients with Friedreich’s ataxia. Brain 132(Pt 1):116–123

    PubMed  Google Scholar 

  • França MC Jr, D’Abreu A, Yasuda CL, Bonadia LC, Santos da Silva M, Nucci A, Lopes-Cendes I, Cendes F (2009) A combined voxel-based morphometry and 1H-MRS study in patients with Friedreich’s ataxia. J Neurol 256(7):1114–1120

    Article  PubMed  Google Scholar 

  • Galaburda AM, LeMay M, Kemper TL, Geschwind N (1978) Right-left asymmetries in the brain. Science 199(4331):852–856

    Article  CAS  PubMed  Google Scholar 

  • Genovese CR, Lazar NA, Nichols T (2002) Thresholding of statistical maps in functional neuroimaging using the false discovery rate. Neuroimage 15(4):870–878

    Article  PubMed  Google Scholar 

  • Georgiou-Karistianis N, Akhlaghi H, Corben LA, Delatycki MB, Storey E, Bradshaw JL, Egan GF (2012) Decreased functional brain activation in Friedreich ataxia using the Simon effect task. Brain Cogn 79(3):2000–2008

    Article  Google Scholar 

  • Gilman S, Junck L, Markel DS, Koeppe RA, Kluin KJ (1990) Cerebral glucose hypermetabolism in Friedreich’s ataxia detected with positron emission tomography. Ann Neurol 28(6):750–757

    Article  CAS  PubMed  Google Scholar 

  • Ginestroni A, Diciotti S, Cecchi P, Pesaresi I, Tessa C, Giannelli M, Della Nave R, Salvatore E, Salvi F, Dotti MT, Piacentini S, Soricelli A, Cosottini M, De Stefano N, Mascalchi M (2012) Neurodegeneration in Friedreich’s ataxia is associated with a mixed activation pattern of the brain. A fMRI study. Hum Brain Mapp 33(8):1780–1791

    Article  PubMed  Google Scholar 

  • Gong G, He Y, Concha L, Lebel C, Gross DW, Evans AC, Beaulieu C (2009a) Mapping anatomical connectivity patterns of human cerebral cortex using in vivo diffusion tensor imaging tractography. Cereb Cortex 19(3):524–536

    Article  PubMed Central  PubMed  Google Scholar 

  • Gong G, Rosa-Neto P, Carbonell F, Chen ZJ, He Y, Evans AC (2009b) Age- and gender-related differences in the cortical anatomical network. J Neuro 29(50):15684–15693

    Article  CAS  Google Scholar 

  • Gong G, He Y, Evans AC (2011) Brain connectivity gender makes a difference. The Neuroscientist 17(5):575–591

    Article  PubMed  Google Scholar 

  • Hart RP, Kwentus JA, Leshner RT, Frazier R (1985) Information processing speed in Friedreich’s ataxia. Ann Neurol 17(6):612–614

    Article  CAS  PubMed  Google Scholar 

  • He Y, Evans A (2010) Graph theoretical modeling of brain connectivity. Curr Opin Neurol 23(4):341–350

    PubMed  Google Scholar 

  • Jbabdi S, Johansen-Berg H (2012) Tractography: where do we go from here? Brain Connect 1(3):170–183

    Google Scholar 

  • Jenkinson M, Smith SM (2001) A global optimisation method for robust affine registration of brain images. Med Image Anal 5(2):143–156

    Article  CAS  PubMed  Google Scholar 

  • Junck L, Gilman S, Gebarski SS, Koeppe RA, Kluin KJ, Markel DS (1994) Structural and functional brain imaging in Friedreich’s ataxia. Arch Neurol 51(4):349–355

    Article  CAS  PubMed  Google Scholar 

  • Klockgether T (2000) Handbook of ataxia disorders. CRC Press, New York

    Google Scholar 

  • Klopper F, Delatycki MB, Corben LA, Bradshaw JL, Rance G, Georgiou-Karistianis N (2011) The test of everyday attention reveals significant sustained volitional attention and working memory deficits in Friedreich ataxia. J Int Neuropsychol Soc 17(1):196–200

    Article  PubMed  Google Scholar 

  • Koeppen AH (2011) Friedreich’s ataxia: pathology, pathogenesis, and molecular genetics. J Neurol Sci 303(1–2):1–12

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Leemans A, Jones DK (2009) The B-matrix must be rotated when correcting for subject motion in DTI data. Magn Reson Med 61(6):1336–1349

    Article  PubMed  Google Scholar 

  • Lynch DR, Farmer JM, Tsou AY, Perlman S, Subramony SH, Gomez CM, Ashizawa T, Wilmot GR, Wilson RB, Balcer LJ (2006) Measuring Friedreich ataxia: complementary features of examination and performance measures. Neurology 66(11):1711–1716

    Article  CAS  PubMed  Google Scholar 

  • Mantovan MC, Martinuzzi A, Squarzanti F, Bolla A, Silvestri I, Liessi G, Macchi C, Ruzza G, Trevisan CP, Angelini C (2006) Exploring mental status in Friedreich’s ataxia: a combined neuropsychological, behavioral and neuroimaging study. Eur J Neurol 13(8):827–835

    Article  CAS  PubMed  Google Scholar 

  • Mascalchi M, Vella A (2012) Magnetic resonance and nuclear medicine imaging in ataxias. Handb Clin Neurol 103:85–110

    Article  PubMed  Google Scholar 

  • Mascalchi M, Salvi F, Piacentini S, Bartolozzi C (1994) Friedreich’s ataxia: MR findings involving the cervical portion of the spinal cord. AJR Am J Roentgenol 163(1):187–191

    Article  CAS  PubMed  Google Scholar 

  • Nelson HE, Willison J, Owen AM (1992) National adult reading test (2nd ed). Int J Geriatr Psychiatry 7(7):533

    Google Scholar 

  • Nichols TE, Holmes AP (2001) Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapp 15:1–25

    Article  Google Scholar 

  • Ormerod IE, Harding AE, Miller DH, Johnson G, MacManus D, du Boulay EP, Kendall BE, Moseley IF, McDonald WI (1994) Magnetic resonance imaging in degenerative ataxic disorders. J Neurol Neurosurg Psychiatry 57(1):51–57

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Pagani E, Ginestroni A, Della Nave R, Agosta F, Salvi F, De Michele G, Piacentini S, Filippi M, Mascalchi M (2010) Assessment of brain white matter fiber bundle atrophy in patients with Friedreich ataxia. Radiology 255(3):882–889

    Article  PubMed  Google Scholar 

  • Puccio H, Simon D, Cossée M, Criqui-Filipe P, Tiziano F, Melki J, Hindelang C, Matyas R, Rustin P, Koenig M (2001) Mouse models for Friedreich ataxia exhibit cardiomyopathy, sensory nerve defect and Fe-S enzyme deficiency followed by intramitochondrial iron deposits. Nat Genet 27(2):181–186

    Article  CAS  PubMed  Google Scholar 

  • Rizzo G, Tonon C, Valentino ML, Manners D, Fortuna F, Gellera C, Pini A, Ghezzo A, Baruzzi A, Testa C, Malucelli E, Barbiroli B, Carelli V, Lodi R (2011) Brain diffusion-weighted imaging in Friedreich’s ataxia. Mov Disord 26(4):705–712

    Article  PubMed  Google Scholar 

  • Rubinov M, Sporns O (2010) Complex network measures of brain connectivity: uses and interpretation. Neuroimage 52(3):1059–1069

    Article  PubMed  Google Scholar 

  • Rushton WAH (1951) Theory of the effects of fibre size in medulated nerve. J Physiol 115:101–122

    CAS  PubMed Central  PubMed  Google Scholar 

  • Schmahmann JD, Sherman JC (1998) The cerebellar cognitive affective syndrome. Brain 121:561–579

    Article  PubMed  Google Scholar 

  • Schulz JB, Boesch S, Bürk K, Dürr A, Giunti P, Mariotti C, Pousset F, Schöls L, Vankan P, Pandolfo M (2009) Diagnosis and treatment of Friedreich ataxia: a European perspective. Nat Rev Neurol 5(4):222–234

    Article  PubMed  Google Scholar 

  • Simon D, Seznec H, Gansmuller A, Carelle N, Weber P, Metzger D, Rustin P, Koenig M, Puccio H (2004) Friedreich ataxia mouse models with progressive cerebellar and sensory ataxia reveal autophagic neurodegeneration in dorsal root ganglia. J Neurosci 24:1987–1995

    Article  CAS  PubMed  Google Scholar 

  • Smith SM, Jenkinson M, Johansen-Berg H, Rueckert D, Nichols TE, Mackay CE, Watkins KE, Ciccarelli O, Cader MZ, Matthews PM, Behrens TE (2006) Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 31(4):1487–1505

    Article  PubMed  Google Scholar 

  • Sporns O, Tononi G, Kotter R (2005) The Human Connectome: a structural description of the human brain. PLoS Comput Biol 1(4):e42

    Article  PubMed Central  PubMed  Google Scholar 

  • Subramony SH, May W, Lynch D, Gomez C, Fischbeck K, Hallett M, Taylor P, Wilson R, Ashizawa T, Cooperative Ataxia Group (2005) Measuring friedreich ataxia: Interrater reliability of a neurologic rating scale. Neurology 64(7):1261–1262

    Article  CAS  PubMed  Google Scholar 

  • Tyszka JM, Kennedy DP, Adolphs R, Paul LK (2011) Intact bilateral resting-state networks in the absence of the corpus callosum. J Neurosci 31(42):15154–15162

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, Mazoyer B, Joliot M (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage 15:273–289

    Article  CAS  PubMed  Google Scholar 

  • van den Heuvel MP, Hulshoff Pol HE (2010) Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol 20(8):519–534

    Article  PubMed  Google Scholar 

  • van den Heuvel MP, Stam CJ, Boersma M, Hulshoff Pol HE (2008) Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain. Neuroimage 3(3):528–539

    Google Scholar 

  • van den Heuvel MP, Mandl RC, Kahn RS, Hulshoff Pol HE (2009) Functionally linked resting-state networks reflect the underlying structural connectivity architecture of the human brain. Hum Brain Mapp 30(10):3127–3141

    Article  PubMed  Google Scholar 

  • White M, Lalonde R, Botez-Marquard T (2000) Neuropsychologic and neuropsychiatric characteristics of patients with Friedreich’s ataxia. Acta Neurol Scand 102(4):222–226

    Article  CAS  PubMed  Google Scholar 

  • Wig GS, Schlaggar BL, Petersen SE (2011) Concepts and principles in the analysis of brain networks. Ann NY Acad Sci 1224(1):126–146

    Article  PubMed  Google Scholar 

  • Wollmann T, Nieto-Barco A, Monton-Alvarez F, Barroso-Ribal J (2004) Ataxia de Friedreich: analisis de parametros de resonancia magnetica y correlatos con el enlentecimiento cognitivo y motor. Rev Neurol 38(3):217–222

    CAS  PubMed  Google Scholar 

  • Wüllner U, Klockgether T, Petersen D, Naegele T, Dichgans J (1993) Magnetic resonance imaging in hereditary and idiopathic ataxia. Neurology 43(2):318–325

    Article  PubMed  Google Scholar 

  • Yakovlev PI, Rakic P (1966) Patterns of decussation of bulbar pyramids and distribution of pyramidal tracts on two sides of the spinal cord. Trans Am Neurol Assoc 91:3667

    Google Scholar 

  • Zalesky A (2011) Moderating registration misalignment in voxelwise comparisons of DTI data: a performance evaluation of skeleton projection. Magn Reson Imaging 29(1):111–125

    Article  PubMed  Google Scholar 

  • Zalesky A, Fornito A (2009) A DTI-derived measure of cortico-cortical connectivity. IEEE Trans Med Imag 28(7):1023–1036

    Article  Google Scholar 

  • Zalesky A, Fornito A, Harding IH, Cocchi L, Yucel M, Pantelis C, Bullmore ET (2010) Whole-brain anatomical networks: does the choice of nodes matter? NeuroImage 50(3):970–983

    Article  PubMed  Google Scholar 

  • Zalesky A, Fornito A, Seal ML, Cocchi L, Westin C-F, Bullmore ET, Egan GF, Pantelis C (2011) Disrupted axonal fiber connectivity in schizophrenia. Biol Psychiatry 69(1):80–89

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by funding from the Friedreich Ataxia Research Association (Australasia), Friedreich Ataxia Research Alliance (USA) and Murdoch Childrens Research Institute. The authors were supported by the Australian Research Council (DP0986320 to A.Z.); the Melbourne Neuroscience Institute (Melbourne Neuroscience Institute Fellowship to A.Z.); the University of Melbourne (Melbourne International Fee Remission Scholarship and Melbourne International Research Scholarship to H.A.), the National Health and Medical Research Council (Early Career Fellowship to L.A.C., Practitioner Fellowship to M.B.D., Research Fellowship to G.F.E.).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrew Zalesky.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zalesky, A., Akhlaghi, H., Corben, L.A. et al. Cerebello-cerebral connectivity deficits in Friedreich ataxia. Brain Struct Funct 219, 969–981 (2014). https://doi.org/10.1007/s00429-013-0547-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00429-013-0547-1

Keywords

Navigation