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Altered cerebellar feedback projections in Asperger syndrome
Abstract
It has been proposed that the biological basis of autism spectrum disorder includes cerebellar 'disconnection'. However, direct in vivo evidence in support of this is lacking. Here, the microstructural integrity of cerebellar white matter in adults with Asperger syndrome was studied using diffusion tensor magnetic resonance tractography. Fifteen adults with Asperger syndrome and 16 age-IQ-gender-matched healthy controls underwent diffusion tensor magnetic resonance imaging. For each subject, tract-specific measurements of mean diffusivity and fractional anisotropy were made within the inferior, middle, superior cerebellar peduncles and short intracerebellar fibres. No group differences were observed in mean diffusivity. However, people with Asperger syndrome had significantly lower fractional anisotropy in the short intracerebellar fibres (p<0.001) and right superior cerebellar (output) peduncle (p<0.001) compared to controls; but no difference in the input tracts. Severity of social impairment, as measured by the Autistic Diagnostic Interview, was negatively correlated with diffusion anisotropy in the fibres of the left superior cerebellar peduncle. These findings suggest a vulnerability of specific cerebellar neural pathways in people with Asperger syndrome. The localised abnormalities in the main cerebellar outflow pathway may prevent the cerebral cortex from receiving those cerebellar feedback inputs necessary for a successful adaptive social behaviour.
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“and in adults, lower fractional anisotropy in the superior cerebellar peduncles was associated with worse parent report of social behaviors in autism [271].”
From Consensus Paper: Pathological Role of the Cerebellum in Autism (2012) · cites this paper as [271]
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Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Hamilton, M. (1960) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.23.1.56 · Cited by 32,817
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065
The Yale-Brown Obsessive Compulsive Scale: I. Development, Use, and Reliability
Goodman, W. K. (1989) · Archives of General Psychiatry · doi:10.1001/archpsyc.1989.01810110048007 · Cited by 7,712
MR diffusion tensor spectroscopy and imaging
Basser, P. J., Mattiello, J., & LeBihan, D. (1994) · Biophysical Journal · doi:10.1016/s0006-3495(94)80775-1 · Cited by 5,970
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,628
The cerebellar cognitive affective syndrome
Schmahmann, J. (1998) · Brain · doi:10.1093/brain/121.4.561 · Cited by 3,230
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664
The Yale-Brown Obsessive-Compulsive Scale: measures of internal consistency.
Kim, S.-W., Dysken, M., Pheley, A., & Hoover, K. M. (1994) · Psychiatry Research · doi:10.1016/0165-1781(94)90039-6 · Cited by 2,333
Neuroglial activation and neuroinflammation in the brain of patients with autism
Vargas, D. L., Nascimbene, C., Krishnan, C., Zimmerman, A. W., & Pardo, C. A. (2005) · Annals of Neurology · doi:10.1002/ana.20315 · Cited by 2,149 · cited 7×
“Some years later, the role of the cerebellum was further suggested by neuropathological studies reporting a reduction of the Purkinje cell density in the cerebellar cortex in both children and adults from across the autistic spectrum (Bauman and Kemper, 1985; Lee et al., 2002; Ritvo et al., 1986; Vargas et al., 2005;…”
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A diffusion tensor imaging tractography atlas for virtual in vivo dissections.
CATANI, M., & THIEBAUTDESCHOTTEN, M. (2008) · Cortex · doi:10.1016/j.cortex.2008.05.004 · Cited by 1,642
Self-citationToward a second-person neuroscience
Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., & Vogeley, K. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000660 · Cited by 1,510
Consensus Paper: Pathological Role of the Cerebellum in Autism
Fatemi, S. H., Aldinger, K. A., Ashwood, P., Bauman, M. L., Blaha, C. D., Blatt, G. J., Chauhan, A., Chauhan, V., Dager, S. R., Dickson, P. E., et al. (2012) · The Cerebellum · doi:10.1007/s12311-012-0355-9 · Cited by 723
The cerebellum: adaptive prediction for movement and cognition
Sokolov, A. A., Miall, R. C., & Ivry, R. B. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.02.005 · Cited by 691
Thiebaut de Schotten, M., ffytche, D. H., Bizzi, A., Dell'Acqua, F., Allin, M., Walshe, M., Murray, R., Williams, S. C., Murphy, D. G. M., & Catani, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.07.055 · Cited by 656
Self-citationSchmahmann, J. D. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9142-x · Cited by 583
Geschwind, D. H. (2009) · Annual Review of Medicine · doi:10.1146/annurev.med.60.053107.121225 · Cited by 512
Consensus Paper: The Role of the Cerebellum in Perceptual Processes
Baumann, O., Borra, R. J., Bower, J. M., Cullen, K. E., Habas, C., Ivry, R. B., Leggio, M., Mattingley, J. B., Molinari, M., Moulton, E. A., et al. (2015) · The Cerebellum · doi:10.1007/s12311-014-0627-7 · Cited by 462
Diffusion tensor imaging in autism spectrum disorder: a review
Travers, B. G., Adluru, N., Ennis, C., Tromp, D. P. M., Destiche, D., Doran, S., Bigler, E. D., Lange, N., Lainhart, J. E., & Alexander, A. L. (2012) · Autism Research · doi:10.1002/aur.1243 · Cited by 450
Consensus Paper: Cerebellum and Social Cognition
Overwalle, F. V., Manto, M. U., Cattaneo, Z., Clausi, S., Ferrari, C., Gabrieli, J. D. E., Guell, X., Heleven, E., Lupo, M., Ma, Q., et al. (2020) · The Cerebellum · doi:10.1007/s12311-020-01155-1 · Cited by 465
Cerebro-cerebellar circuits in autism spectrum disorder
D’Mello, A. M., & Stoodley, C. J. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00408 · Cited by 427
Vissers, M. E., Cohen, M. X., & Geurts, H. M. (2011) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2011.09.003 · Cited by 412
Ecker, C., Rocha-Rego, V., Johnston, P., Mourão-Miranda, J., Marquand, A. F., Daly, E., Brammer, M. J., Murphy, C. M., & Murphy, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.08.024 · Cited by 393
Self-citationRojkova, K., Volle, E., Urbanski, M., Humbert, F., Dell’Acqua, F., & Thiebaut de Schotten, M. (2016) · Brain Structure and Function · doi:10.1007/s00429-015-1001-3 · Cited by 361
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Phillips, J. R., Hewedi, D. H., Eissa, A. M., & Moustafa, A. A. (2015) · Frontiers in Public Health · doi:10.3389/fpubh.2015.00066 · Cited by 357
Review of neuroimaging in autism spectrum disorders: what have we learned and where we go from here
Anagnostou, E., & Taylor, M. J. (2011) · Molecular Autism · doi:10.1186/2040-2392-2-4 · Cited by 321
Ameis, S. H., & Catani, M. (2015) · Cortex · doi:10.1016/j.cortex.2014.10.014 · Cited by 301
Self-citationStoodley, C. J. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00092 · Cited by 286
Autism Spectrum Disorder and the Cerebellum
Becker, E. B. E., & Stoodley, C. J. (2013) · International review of neurobiology · doi:10.1016/b978-0-12-418700-9.00001-0 · Cited by 292
Cognitive and Motor Loops of the Human Cerebro-cerebellar System
Salmi, J., Pallesen, K. J., Neuvonen, T., Brattico, E., Korvenoja, A., Salonen, O. L. M., & Carlson, S. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21382 · Cited by 284
Ecker, C. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1251 · Cited by 259
MR Diffusion Tensor Imaging: A Window into White Matter Integrity of the Working Brain
Chanraud, S., Zahr, N. M., Sullivan, E. V., & Adolf Pfefferbaum, A. (2010) · Neuropsychology Review · doi:10.1007/s11065-010-9129-7 · Cited by 265
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Cheng, Y., Chou, K., Chen, I.-Y., Fan, Y., Decety, J., & Lin, C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.011 · Cited by 243
Development of the cerebellum: simple steps to make a ‘little brain’
Butts, T., Green, M. J., & Wingate, R. J. T. (2014) · Development · doi:10.1242/dev.106559 · Cited by 239
Langen, M., Leemans, A., Johnston, P., Ecker, C., Daly, E., Murphy, C. M., dell’Acqua, F., Durston, S., & Murphy, D. G. M. (2012) · Cortex · doi:10.1016/j.cortex.2011.05.018 · Cited by 234
Self-citationShukla, D. K., Keehn, B., & Müller, R. (2011) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.2010.02342.x · Cited by 230
The cerebellum and neuropsychological functioning: A critical review
O’Halloran, C., Kinsella, G., & Storey, E. (2011) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2011.614599 · Cited by 236
Kumar, A., Sundaram, S. K., Sivaswamy, L., Behen, M. E., Makki, M., Ager, J. W., Janisse, J. J., Chugani, H. T., & Chugani, D. C. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp278 · Cited by 211
Khan, A. J., Nair, A., Keown, C. L., Datko, M., Lincoln, A. J., & Müller, R. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.03.024 · Cited by 214
Subcortical Structures and Cognition
Koziol, L. F., & Budding, D. E. (2009) · Springer eBooks · doi:10.1007/978-0-387-84868-6 · Cited by 277
Structural and functional magnetic resonance imaging of autism spectrum disorders
Stigler, K. A., McDonald, B. C., Anand, A., Saykin, A. J., & McDougle, C. J. (2011) · Brain Research · doi:10.1016/j.brainres.2010.11.076 · Cited by 197
Aoki, Y. Y., Abe, O., Nippashi, Y., & Yamasue, H. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-25 · Cited by 187
Radua, J., Via, E., Catani, M., & Mataix-Cols, D. (2011) · Psychological Medicine · doi:10.1017/s0033291710002187 · Cited by 183
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Happe, F. G. E., & Charlton, R. A. (2011) · Gerontology · doi:10.1159/000329720 · Cited by 200
Pugliese, L., Catani, M., Ameis, S. H., Dell’Acqua, F., de Schotten, M. T., Murphy, C. M., Robertson, D., Deeley, Q., Daly, E., & Murphy, D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.014 · Cited by 171
Self-citationShukla, D. K., Keehn, B., Lincoln, A. J., & Müller, R. (2010) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2010.08.018 · Cited by 163
Thomas, C., Humphreys, K., Jung, K., Minshew, N. J., & Behrmann, M. (2010) · Cortex · doi:10.1016/j.cortex.2010.07.006 · Cited by 165
Oldehinkel, M., Mennes, M., Marquand, A. F., Charman, T., Tillmann, J., Ecker, C., Dell’Acqua, F., Brandeis, D., Banaschewski, T., Baumeister, S., et al. (2018) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2018.11.010 · Cited by 160
Self-citationMosconi, M. W., Mohanty, S., Greene, R. K., Cook, E. H., Vaillancourt, D. E., & Sweeney, J. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2731-14.2015 · Cited by 156
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Gottfried, C., Bambini-Junior, V., Francis, F., Riesgo, R., & Savino, W. (2015) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2015.00121 · Cited by 143
Sokolov, A. A., Erb, M., Gharabaghi, A., Grodd, W., Tatagiba, M. S., & Pavlova, M. A. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.039 · Cited by 141
Is autism a disease of the cerebellum? An integration of clinical and pre-clinical research
Rogers, T. D., McKimm, E., Dickson, P. E., Goldowitz, D., Blaha, C. D., & Mittleman, G. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2013.00015 · Cited by 154
Jou, R. J., Jackowski, A. P., Papademetris, X., Rajeevan, N., Staib, L. H., & Volkmar, F. R. (2010) · Australian & New Zealand Journal of Psychiatry · doi:10.3109/00048674.2010.534069 · Cited by 143
Granziera, C., Schmahmann, J. D., Hadjikhani, N. K., Meyer, H., Meuli, R. A., Wedeen, V. J., & Krüger, G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005101 · Cited by 135
Catani, M., Craig, M., Forkel, S. J., Kanaan, R., Picchioni, M., Toulopoulou, T., Shergill, S. S., Williams, S., Murphy, D., & McGuire, P. K. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.06.013 · Cited by 133
Self-citationHoppenbrouwers, S. S., Schutter, D. J. L. G., Fitzgerald, P. B., Chen, R. E., & Daskalakis, Z. J. (2008) · Brain Research Reviews · doi:10.1016/j.brainresrev.2008.07.005 · Cited by 131
Pervasive microstructural abnormalities in autism: a DTI study
Groen, W. B. (2010) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.090100 · Cited by 129
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Gálvez‐Contreras, A. Y., Zárate-López, D., Torres-Chávez, A. L., & González-Pérez, Ó. (2020) · Brain Sciences · doi:10.3390/brainsci10120951 · Cited by 131
Abnormal transient pupillary light reflex in individuals with autism spectrum disorders
Fan, X., Miles, J. H., Takahashi, N., & Yao, G. (2009) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-009-0767-7 · Cited by 121
Sokolov, A. A., Erb, M., Grodd, W., & Pavlova, M. A. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs346 · Cited by 122
Lo, Y., Soong, W., Gau, S. S., Wu, Y.-Y., Lai, M., Yeh, F.-C. F., Chiang, W.-Y., Kuo, L., Jaw, F.-S., & Tseng, W. I. (2011) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.09.008 · Cited by 120
Conturo, T. E., Williams, D. L., Smith, C. D., Gultepe, E., Akbudak, E., & Minshew, N. J. (2008) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617708081381 · Cited by 119
Jou, R. J., Mateljevic, N., Kaiser, M. D., Sugrue, D. R., Volkmar, F. R., & Pelphrey, K. A. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2558 · Cited by 121
Tan, G. C. Y., Doke, T. F., Ashburner, J., Wood, N. W., & Frackowiak, R. S. J. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.018 · Cited by 116
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Mosconi, M. W., Wang, Z., Schmitt, L. M., Tsai, P., & Sweeney, J. A. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00296 · Cited by 112
Structural human brain networks
Dell’Acqua, F., & Catani, M. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328355d544 · Cited by 121
Self-citationComparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
Carass, A., Cuzzocreo, J. L., Han, S., Hernandez-Castillo, C. R., Rasser, P. E., Ganz, M., Beliveau, V., Dolz, J., Ayed, I. B., Desrosiers, C., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.003 · Cited by 111
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Fleming, J. T., He, W., Hao, C., Ketova, T., Pan, F. C., Wright, C. C. V., Litingtung, Y., & Chiang, C. C. (2013) · Developmental Cell · doi:10.1016/j.devcel.2013.10.008 · Cited by 108
Kamali, A., Kramer, L. A., Frye, R. E., Butler, I. J., & Hasan, K. M. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22330 · Cited by 111
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Self-citationWhole brain white matter connectivity analysis using machine learning: An application to autism
Zhang, F., Savadjiev, P., Cai, W., Song, Y., Yogesh Rathi, A., Tunç, B., Parker, D., Kapur, T., Schultz, R. T., Makris, N., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.029 · Cited by 107
Nielsen, J. A., Zielinski, B. A., Fletcher, P. T., Alexander, A. L., LANGE, N. D., Bigler, E. D., Lainhart, J. E., & Anderson, J. S. (2014) · Molecular Autism · doi:10.1186/2040-2392-5-8 · Cited by 117
Dougherty, C. C., Evans, D. W., Myers, S. M., Moore, G. J., & Michael, A. M. (2016) · Neuropsychology Review · doi:10.1007/s11065-015-9300-2 · Cited by 104
Olivito, G., Clausi, S., Laghi, F., Tedesco, A. M., Baiocco, R., Mastropasqua, C., Molinari, M., Cercignani, M., Bozzali, M., & Leggio, M. G. (2016) · The Cerebellum · doi:10.1007/s12311-016-0795-8 · Cited by 109
Sivaswamy, L., Kumar, A., Rajan, D. S., Behen, M. E., Muzik, O., Chugani, D. C., & Chugani, H. T. (2010) · Journal of Child Neurology · doi:10.1177/0883073809358765 · Cited by 100
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Howells, H., de Schotten, M. T., Dell’Acqua, F., Beyh, A., Zappalà, G., Leslie, A., Simmons, A., Murphy, D., & Catani, M. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy040 · Cited by 96
Self-citationDiffusion Tensor Imaging in Young Children with Autism: Biological Effects and Potential Confounds
Walker, L., Gozzi, M., Lenroot, R., Thurm, A. E., Behseta, B., Swedo, S. E., & Pierpaoli, C. M. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.08.001 · Cited by 94
Thompson, A., Murphy, D., Dell’Acqua, F., Ecker, C., McAlonan, G. M., Howells, H., Baron‐Cohen, S., Lai, M., & Lombardo, M. V. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.06.020 · Cited by 100
Self-citationCerebellar involvement in autism and ADHD
Bruchhage, M. M. K., Bucci, M. P., & Becker, E. B. E. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64189-2.00004-4 · Cited by 99
Keser, Z., Hasan, K. M., Mwangi, B., Kamali, A., Ucisik, F. E., Riascos, R., Yozbatıran, N., Francisco, G. E., & Narayana, P. A. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00041 · Cited by 93
Translational approaches to the biology of Autism: false dawn or a new era?
Ecker, C., Spooren, W. P. J. M., & Murphy, D. (2012) · Molecular Psychiatry · doi:10.1038/mp.2012.102 · Cited by 95
Self-citationItahashi, T., Yamada, T., Nakamura, M., Watanabe, H., Yamagata, B., Jimbo, D., Shioda, S., Kuroda, M., Toriizuka, K., Kato, N., et al. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.11.019 · Cited by 91
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Ecker, C., Andrews, D., Dell’Acqua, F., Daly, E., Murphy, C., Catani, M., de Schotten, M. T., Baron‐Cohen, S., Lai, M.-C., Lombardo, M. V., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw098 · Cited by 94
Self-citationNeurobehavioral Abnormalities in First-Degree Relatives of Individuals With Autism
Mosconi, M. W., Kay, M., D’Cruz, A.-M., Guter, S., Kapur, K., Macmillan, C., Stanford, L. D., & Sweeney, J. A. (2010) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2010.87 · Cited by 84
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Crippa, A., Vecchio, G. D., Ceccarelli, S. B., Nobile, M., Arrigoni, F., & Brambilla, P. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00020 · Cited by 90
Wang, Z., Magnon, G. C., White, S. P., Greene, R. K., Vaillancourt, D. E., & Mosconi, M. W. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00661.2014 · Cited by 87
Bloemen, O., Deeley, Q., Sundram, F., Daly, E., Barker, G. J., Jones, D. K., van Amelsvoort, T., Schmitz, N., Robertson, D., Murphy, K. C., et al. (2010) · Autism Research · doi:10.1002/aur.146 · Cited by 83
Self-citationWhite-matter relaxation time and myelin water fraction differences in young adults with autism
Deoni, S., Zinkstok, J., Daly, E., Ecker, C., Williams, S., & Murphy, D. (2014) · Psychological Medicine · doi:10.1017/s0033291714001858 · Cited by 83
Self-citationTraut, N., Beggiato, A., Bourgeron, T., Delorme, R., Rondi‐Reig, L., Paradis, A., & Toro, R. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.09.029 · Cited by 81
Diffusion tensor imaging in male premutation carriers of the fragile X mental retardation gene
Hashimoto, R., Srivastava, S., Tassone, F., Hagerman, R. J., & Rivera, S. M. (2011) · Movement Disorders · doi:10.1002/mds.23646 · Cited by 81
Sokolovsky, N., Cook, A., Hunt, H., Giunti, P., & Cipolotti, L. (2010) · Behavioural Neurology · doi:10.3233/ben-2010-0270 · Cited by 65
White matter reduced streamline coherence in young men with autism and mental retardation
Pardini, M., Garaci, F. G., Bonzano, L., Roccatagliata, L., Palmieri, M. G., Pompili, E., Coniglione, F., Krüeger, F., Ludovici, A., Floris, R., et al. (2009) · European Journal of Neurology · doi:10.1111/j.1468-1331.2009.02699.x · Cited by 76
Can, D. D., Richards, T. L., & Kuhl, P. K. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.10.007 · Cited by 81
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Self-citationPina‐Camacho, L., Villero, S., Fraguas, D., Boada, L., Janssen, J., Navas-Sánchez, F. J., Mayoral, M., Llorente, C., Arango, C., & Parellada, M. (2011) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-011-1360-4 · Cited by 61
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Self-citation
Metadata
- Authors
- Catani, M., Jones, D. K., Daly, E., Embiricos, N., Deeley, Q., Pugliese, L., Curran, S., Robertson, D., & Murphy, D. G. M.
- Affiliations
- King's College London (GB)
- Cardiff University (GB)
- Corresponding author
- Catani, Marco
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2008-07
- Volume
- 41
- Issue
- 4
- Pages
- 1184-1191
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2030059540
- Cited by
- 244
- References
- 78
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 8 · 2022: 11 · 2021: 14 · 2020: 9 · 2019: 12 · 2018: 12 · 2017: 15 · 2016: 14 · 2015: 20 · 2014: 15 · 2013: 25 · 2012: 18
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- National Institute for Health and Care Research (RP-PG-0606-1045)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
- Keywords
- Asperger syndrome, autism spectrum disorder, superior cerebellar peduncle, inferior cerebellar peduncle, middle cerebellar peduncle, fractional anisotropy, mean diffusivity, social dysfunction, social behavior
- MeSH terms
- Adolescent, Adult, Behavior, Cerebellum, Cognition, Feedback, Humans, Intelligence Tests, Male, Middle Aged, Neuropsychological Tests, Psychiatric Status Rating Scales, Anisotropy, Asperger Syndrome, Diffusion Magnetic Resonance Imaging
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