Functional connectivity between the temporoparietal cortex and cerebellum in autism spectrum disorder
Open accessAbstract
The neural basis of autism spectrum disorder (ASD) is not yet understood. ASD is marked by social deficits and is strongly associated with cerebellar abnormalities. We studied the organization and cerebellar connectivity of the temporoparietal junction (TPJ), an area that plays a crucial role in social cognition. We applied localized independent component analysis to resting-state fMRI data from autistic and neurotypical adolescents to yield an unbiased parcellation of the bilateral TPJ into 11 independent components (ICs). A comparison between neurotypical and autistic adolescents showed that the organization of the TPJ was not significantly altered in ASD. Second, we used the time courses of the TPJ ICs as spatially unbiased "seeds" for a functional connectivity analysis applied to voxels within the cerebellum. We found that the cerebellum contained a fine-grained, lateralized map of the TPJ. The connectivity of the TPJ subdivisions with cerebellar zones showed one striking difference in ASD. The right dorsal TPJ showed markedly less connectivity with the left Crus II. Disturbed cerebellar input to this key region for cognition and multimodal integration may contribute to social deficits in ASD. The findings might also suggest that the right TPJ and/or left Crus II are potential targets for noninvasive brain stimulation therapies.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The TPJ is implicated in social cognition: attributing mind states to others recruits brain-wide networks that also pass through the TPJ.
“When people attribute mind states to each other, such as beliefs or emotions, brain-wide networks are recruited that also pass through the TPJ (Saxe and Wexler, 2005; Kelly et al., 2014; Igelström et al., 2016).”
From The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness (2017) · cites this paper as Igelström et al., 2016
The Introduction (pp. 1–2) links the TPJ to social cognition and theory of mind, and the discussion (p. 8) says a TPJ region overlaps with activation in theory-of-mind tasks. The paper does not establish that attributing beliefs or emotions recruits brain-wide networks passing through the TPJ; its connectivity findings concern resting-state networks rather than recruitment during those tasks. (LLM, conf=0.82)
Experimental — accuracy not yet measuredThere is considerable overlap of function among subregions of the TPJ, though some separation of function is also present.
“A complicated literature suggests that, although there is some separation of function among subregions of the TPJ, considerable overlap of function is also present (Mitchell, 2008; Scholz et al., 2009; Igelström et al., 2016; Igelström and Graziano, 2017).”
From The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness (2017) · cites this paper as Igelström et al., 2016
The paper’s “Topographic Map of the TPJ in the Cerebellum” section (p. 7) says TPJc and TPJa are functionally related, while describing differences in their connectivity. “Cerebellar Maps of TPJ Subdivisions” (pp. 5–6) likewise distinguishes the subdivisions. These passages support some shared and separate functions, but do not establish considerable functional overlap among TPJ subregions generally. (LLM, conf=0.82)
Experimental — accuracy not yet measuredBrain imaging evidence suggests the TPJ plays a role in attributing visual awareness to others and that some of the same subregions are involved in constructing one's own visual awareness.
“Experimental evidence from brain imaging studies suggests that the TPJ does play a role in attributing visual awareness to others, and that some of the same subregions of the TPJ are involved in constructing one's own visual awareness (Kelly et al., 2014; Igelström et al., 2016; Webb et al., 2016b).”
From The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness (2017) · cites this paper as Igelström et al., 2016
The Introduction (p. 1) says the TPJ may mediate social cognition, and the results describe distinct TPJ subdivisions (p. 4). Neither passage addresses attributing visual awareness to others or constructing one's own visual awareness in overlapping subregions. Searches for visual awareness, self–other awareness, and perspective taking found no passage making that claim; the References (p. 10) list a related Kelly et al. paper but do not report its findings. (LLM, conf=0.74)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182 · see citing works
Lord, C., Rutter, M., & Le Couteur, A. (1994) · Journal of Autism and Developmental Disorders · doi:10.1007/bf02172145 · Cited by 9,065 · see citing works
Does the autistic child have a “theory of mind” ?
Baron-Cohen, S., Leslie, A. M., & Frith, U. (1985) · Cognition · doi:10.1016/0010-0277(85)90022-8 · Cited by 8,599 · cited 1× · see citing works
“A prominent characteristic of ASD is significant deficits in social interaction and communication, functions that involve higher order regions of the cerebral cortex (Baron-Cohen et al. 1985; Castelli et al. 2002; Senju et al. 2009).”
Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Leventhal, B. L., DiLavore, P. C., Pickles, A., & Rutter, M. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005592401947 · Cited by 7,520 · see citing works
Power, J. D., Barnes, K. A., Snyder, A. Z., Schlaggar, B. L., & Petersen, S. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.018 · Cited by 7,429 · see citing works
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
<i>Conn</i> : A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
Whitfield-Gabrieli, S., & Nieto-Castanon, A. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0073 · Cited by 4,885 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060 · see citing works
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889 · see citing works
Permutation inference for the general linear model
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563 · see citing works
The weak coherence account: detail-focused cognitive style in autism spectrum disorders
Happé, F., & Frith, U. (2006) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0039-0 · Cited by 2,884 · see citing works
Probabilistic Independent Component Analysis for Functional Magnetic Resonance Imaging
Beckmann, C. F., & Smith, S. M. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.822821 · Cited by 2,707 · see citing works
The influence of head motion on intrinsic functional connectivity MRI
Van Dijk, K. R. A., Sabuncu, M. R., & Buckner, R. L. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.044 · Cited by 2,344 · see citing works
Evidence for a Frontoparietal Control System Revealed by Intrinsic Functional Connectivity
Vincent, J. L., Kahn, I., Snyder, A. Z., Raichle, M. E., & Buckner, R. L. (2008) · Journal of Neurophysiology · doi:10.1152/jn.90355.2008 · Cited by 1,869 · see citing works
Intersubject synchronization of cortical activity during natural vision
Hasson, U., Nir, Y., Levy, I., Fuhrmann, G., & Malach, R. (2004) · Science · doi:10.1126/science.1089506 · Cited by 1,839 · see citing works
Cerebellum and nonmotor function
Strick, P. L., Dum, R. P., & Fiez, J. A. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.31.060407.125606 · Cited by 1,777 · see citing works
Salimi-Khorshidi, G., Douaud, G., Beckmann, C. F., Glasser, M. F., Griffanti, L., & Smith, S. M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.046 · Cited by 1,770 · see citing works
Distinct patterns of brain activity in young carriers of the <i>APOE</i> -ε4 allele
Filippini, N., MacIntosh, B. J., Hough, M. G., Goodwin, G. M., Frisoni, G. B., Smith, S. M., Matthews, P. M., Beckmann, C. F., & Mackay, C. E. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811879106 · Cited by 1,613 · see citing works
The Angular Gyrus: Multiple Functions and Multiple Subdivisions
Seghier, M. L. (2013) · The Neuroscientist · doi:10.1177/1073858412440596 · Cited by 1,585 · see citing works
Castelli, F. (2002) · Brain · doi:10.1093/brain/awf189 · Cited by 1,377 · see citing works
A probabilistic MR atlas of the human cerebellum
Diedrichsen, J., Balsters, J. H., Flavell, J. C., Cussans, E., & Ramnani, N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.045 · Cited by 1,370 · see citing works
Stoodley, C. J., & Schmahmann, J. D. (2010) · Cortex · doi:10.1016/j.cortex.2009.11.008 · Cited by 1,360 · see citing works
Autism and Abnormal Development of Brain Connectivity: Figure 1.
Belmonte, M. K., Allen, G., Beckel-Mitchener, A., Boulanger, L. M., Carper, R. A., & Webb, S. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3340-04.2004 · Cited by 1,217 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
Satterthwaite, T. D., Wolf, D. H., Loughead, J., Ruparel, K., Elliott, M. A., Hakonarson, H., Gur, R. C., & Gur, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.063 · Cited by 1,125 · see citing works
Distinct cerebellar contributions to intrinsic connectivity networks
Habas, C., Kamdar, N., Nguyen, D., Prater, K., Beckmann, C. F., Menon, V., & Greicius, M. D. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1868-09.2009 · Cited by 1,115 · see citing works
Sensory Processing in Autism: A Review of Neurophysiologic Findings
MARCO, E. J., HINKLEY, L. B. N., HILL, S. S., & NAGARAJAN, S. S. (2011) · Pediatric Research · doi:10.1203/pdr.0b013e3182130c54 · Cited by 1,112 · see citing works
Functional topography of the cerebellum for motor and cognitive tasks: An fMRI study
Stoodley, C. J., Valera, E. M., & Schmahmann, J. D. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.065 · Cited by 1,106 · see citing works
Just, M. A., Cherkassky, V. L., Keller, T. A., Kana, R. K., & Minshew, N. J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl006 · Cited by 1,081 · see citing works
Decety, J., & Lamm, C. (2007) · The Neuroscientist · doi:10.1177/1073858407304654 · Cited by 1,044 · see citing works
A spatially unbiased atlas template of the human cerebellum
Diedrichsen, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.056 · Cited by 989 · see citing works
Advances and pitfalls in the analysis and interpretation of resting-state FMRI data
Cole, D. M. (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00008 · Cited by 950 · see citing works
Willsey, A. J., Sanders, S. J., Li, M., Dong, S., Tebbenkamp, A. T., Muhle, R. A., Reilly, S. K., Lin, L., Fertuzinhos, S., Miller, J. A., et al. (2013) · Cell · doi:10.1016/j.cell.2013.10.020 · Cited by 934 · see citing works
Making sense of another mind: The role of the right temporo-parietal junction
SAXE, R., & WEXLER, A. (2005) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2005.02.013 · Cited by 926 · see citing works
The Cerebellum, Sensitive Periods, and Autism
Wang, S. S. ‐., Kloth, A. D., & Badura, A. (2014) · Neuron · doi:10.1016/j.neuron.2014.07.016 · Cited by 829 · see citing works
Segregated fronto-cerebellar circuits revealed by intrinsic functional connectivity
Krienen, F. M., & Buckner, R. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp135 · Cited by 782 · see citing works
White matter structure in autism: preliminary evidence from diffusion tensor imaging
Barnea‐Goraly, N., Kwon, H., Menon, V., D, S. E. M., Lotspeich, L. J., & Reiss, A. L. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.10.022 · Cited by 780 · see citing works
Mindblind eyes: an absence of spontaneous theory of mind in Asperger syndrome
Senju, A., Southgate, V., White, S., & Frith, U. (2009) · Science · doi:10.1126/science.1176170 · Cited by 769 · see citing works
Structure of anxiety symptoms among children: A confirmatory factor-analytic study.
Spence, S. H. (1997) · Journal of Abnormal Psychology · doi:10.1037//0021-843x.106.2.280 · Cited by 753 · see citing works
Structure of anxiety symptoms among children: A confirmatory factor-analytic study.
Spence, S. H. (1997) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.106.2.280 · Cited by 753 · see citing works
O'Reilly, J. X., Beckmann, C. F., Tomassini, V., Ramnani, N., & Johansen-Berg, H. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp157 · Cited by 738 · see citing works
Group comparison of resting-state FMRI data using multi-subject ICA and dual regression
Beckmann, C. F., Mackay, C., Filippini, N., & Smith, S. R. (2009) · NeuroImage · doi:10.1016/s1053-8119(09)71511-3 · Cited by 729 · see citing works
Brief Report: Specific Executive Function Profiles in Three Neurodevelopmental Disorders
Ozonoff, S., & Jensen, J. (1999) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1023052913110 · Cited by 724 · see citing works
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patients
Assaf, M., Jagannathan, K., Calhoun, V. D., Miller, L., Stevens, M. C., Sahl, R., O'Boyle, J. G., Schultz, R. T., & Pearlson, G. D. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.067 · Cited by 680 · see citing works
Abnormalities of intrinsic functional connectivity in autism spectrum disorders
Monk, C. S., Peltier, S. J., Wiggins, J. L., Weng, S.-J., Carrasco, M., Risi, S., & Lord, C. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.04.069 · Cited by 578 · see citing works
Causal interactions between fronto-parietal central executive and default-mode networks in humans
Chen, A. C., Oathes, D. J., Chang, C. E., Bradley, T., Zhou, Z.-W., Williams, L. M., Glover, G. H., Deisseroth, K. A., & Etkin, A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1311772110 · Cited by 561 · see citing works
Noonan, K. A., Jefferies, E., Visser, M., & Lambon Ralph, M. A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00442 · Cited by 543 · see citing works
Mars, R. B., Sallet, J., Schuffelgen, U., Jbabdi, S., Toni, I., & Rushworth, M. F. S. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr268 · Cited by 520 · see citing works
A meta-analysis of cerebellar contributions to higher cognition from PET and fMRI studies
E, K., Chen, S. A., Ho, M. R., & Desmond, J. E. (2014) · Human Brain Mapping · doi:10.1002/hbm.22194 · Cited by 516 · see citing works
Evaluation of ICA-AROMA and alternative strategies for motion artifact removal in resting state fMRI
Pruim, R. H. R., Mennes, M., Buitelaar, J. K., & Beckmann, C. F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.063 · Cited by 487 · see citing works
Müller, R., Shih, P., Keehn, B., Deyoe, J. R., Leyden, K. M., & Shukla, D. K. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhq296 · Cited by 450 · see citing works
Social cognition and the cerebellum: A meta-analysis of over 350 fMRI studies
Overwalle, F. V., Baetens, K., Mariën, P., & Vandekerckhove, M. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.09.033 · Cited by 428 · see citing works
Weng, S.-J., Wiggins, J. L., Peltier, S., Carrasco, M., Risi, S., Lord, C., & Monk, C. S. (2009) · Brain Research · doi:10.1016/j.brainres.2009.11.057 · Cited by 421 · see citing works
Cognitive contributions of the ventral parietal cortex: an integrative theoretical account
Cabeza, R., Ciaramelli, E., & Moscovitch, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.04.008 · Cited by 373 · see citing works
Functional segmentation of the brain cortex using high model order group PICA
Kiviniemi, V. J., Starck, T., Remes, J. J., Long, X., Nikkinen, J., Haapea, M., Veijola, J. M., Moilanen, I. K., Isohanni, M. K., Zang, Y., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20813 · Cited by 368 · see citing works
Cerebellar Cognitive Affective Syndrome
Schmahmann, J. D., & Sherman, J. C. (1997) · International review of neurobiology · doi:10.1016/s0074-7742(08)60363-3 · Cited by 363 · see citing works
Rojas, D. C., Peterson, E., Winterrowd, E., Reite, M. L., Rogers, S. J., & Tregellas, J. R. (2006) · BMC Psychiatry · doi:10.1186/1471-244x-6-56 · Cited by 360 · see citing works
Kelly, R. E., Alexopoulos, G. S., Wang, Z., Gunning, F. M., Murphy, C. F., Morimoto, S. S., Kanellopoulos, D., Jia, Z., Lim, K. O., & Hoptman, M. J. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.03.028 · Cited by 345 · see citing works
fMRI item analysis in a theory of mind task
Dodell‐Feder, D., Koster-Hale, J., Bedny, M., & Saxe, R. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.040 · Cited by 322 · see citing works
Disordered connectivity in the autistic brain: Challenges for the ‘new psychophysiology’
Rippon, G., Brock, J., Brown, C., & Boucher, J. (2007) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2006.03.012 · Cited by 308 · see citing works
Surface-Based Display of Volume-Averaged Cerebellar Imaging Data
Diedrichsen, J., & Zotow, E. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133402 · Cited by 290 · see citing works
Cerebellar gray matter and lobular volumes correlate with core autism symptoms
D'Mello, A. M., Crocetti, D., Mostofsky, S. H., & Stoodley, C. J. (2015) · NeuroImage: Clinical · doi:10.1016/j.nicl.2015.02.007 · Cited by 281 · see citing works
Bernard, J. A., Seidler, R. D., Hassevoort, K. M., Benson, B. L., Welsh, R. C., Wiggins, J. L., Jaeggi, S. M., Buschkuehl, M., Monk, C. S., Jonides, J. J., et al. (2012) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2012.00031 · Cited by 277 · see citing works
Stoodley, C. J. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00092 · Cited by 275 · see citing works
Lombardo, M. V., Chakrabarti, B., Bullmore, E. T., & Baron-Cohen, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.067 · Cited by 275 · see citing works
Dysmaturation of the default mode network in autism
Washington, S. D., Gordon, E. M., Brar, J., Warburton, S., Sawyer, A. T., Wolfe, A., Mease‐Ference, E. R., Girton, L., Hailu, A., Mbwana, J., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22252 · Cited by 269 · see citing works
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 248 · see citing works
Prelunate, occipitotemporal, and parahippocampal projections to the basis pontis in rhesus monkey
Schmahmann, J. D., & Pandya, D. Ν. (1993) · The Journal of Comparative Neurology · doi:10.1002/cne.903370107 · Cited by 226 · see citing works
Episodic Memory and Remembering in Adults with Asperger Syndrome
Bowler, D., Gardiner, J. M., & Grice, S. J. (2000) · Journal of Autism and Developmental Disorders · doi:10.1023/a:1005575216176 · Cited by 225 · see citing works
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 206 · see citing works
Functional brain networks and white matter underlying theory-of-mind in autism
Kana, R. K., Libero, L. E., Hu, C. P., Deshpande, H. D., & Colburn, J. S. (2014) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss106 · Cited by 196 · see citing works
Tyszka, J. M., Kennedy, D. P., Paul, L. K., & Adolphs, R. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht040 · Cited by 187 · see citing works
Redcay, E., Moran, J. M., Mavros, P. L., Tager-Flusberg, H., Gabrieli, J. D. E., & Whitfield-Gabrieli, S. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00573 · Cited by 158 · see citing works
Mueller, S., Keeser, D., Samson, A. C., Kirsch, V., Blautzik, J., Grothe, M. J., Erat, O., Hegenloh, M., Coates, U., Reiser, M. F., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0067329 · Cited by 138 · see citing works
Sex Differences in the Inferior Parietal Lobule
Frederikse, M. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.8.896 · Cited by 124 · see citing works
Advances in functional magnetic resonance imaging of the human brainstem
Beißner, F., Schumann, A., Brunn, F., Eisenträger, D., & Bär, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.081 · Cited by 117 · see citing works
Sokhadze, E. M., El-Baz, A. S., Sears, L. L., Opriș, I. C., & Casanova, M. F. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00134 · Cited by 108 · see citing works
Wiggins, J. L., Peltier, S., Ashinoff, S., Weng, S.-J., Carrasco, M., Welsh, R. C., Lord, C., & Monk, C. S. (2010) · Brain Research · doi:10.1016/j.brainres.2010.10.102 · Cited by 106 · see citing works
Igelström, K. M., Webb, T. W., & Graziano, M. S. A. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0551-15.2015 · Cited by 101 · see citing works
Self-citationKubit, B. M., & Jack, A. I. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00323 · Cited by 101 · see citing works
O'Nions, E., Sebastian, C. L., McCrory, E., Chantiluke, K., Happé, F., & Viding, E. (2014) · Developmental Science · doi:10.1111/desc.12167 · Cited by 97 · see citing works
Atypical developmental of dorsal and ventral attention networks in autism
Farrant, K., & Uddin, L. Q. (2015) · Developmental Science · doi:10.1111/desc.12359 · Cited by 97 · see citing works
Riva, D., Annunziata, S., Contarino, V. E., Erbetta, A., Aquino, D., & Bulgheroni, S. (2013) · The Cerebellum · doi:10.1007/s12311-013-0469-8 · Cited by 92 · see citing works
Keehn, B., Nair, A., Lincoln, A. J., Townsend, J., & Müller, R.-A. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.002 · Cited by 72 · see citing works
Attributing awareness to oneself and to others
Kelly, Y. T., Webb, T. W., Meier, J. D., Arcaro, M. J., & Graziano, M. S. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1401201111 · Cited by 70 · see citing works
Self-citationDobromyslin, V. I., Salat, D. H., Fortier, C. B., Leritz, E. C., Beckmann, C. F., Milberg, W., & McGlinchey, R. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.139 · Cited by 69 · see citing works
Co-expression Profiling of Autism Genes in the Mouse Brain
Menashe, I., Grange, P., Larsen, E. C., Banerjee‐Basu, S., & Mitra, P. P. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003128 · Cited by 66 · see citing works
Wiggins, J. L., Bedoyan, J. K., Peltier, S., Ashinoff, S., Carrasco, M., Weng, S.-J., Welsh, R. C., Martin, D. M., & Monk, C. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.030 · Cited by 62 · see citing works
Frank, B., Schoch, B., Richter, S., Frings, M., Karnath, H., & Timmann, D. (2007) · The Cerebellum · doi:10.1080/14734220701297432 · Cited by 44 · see citing works
Sohn, W. S., Yoo, K., & Jeong, Y. (2012) · Brain Connectivity · doi:10.1089/brain.2012.0079 · Cited by 17 · see citing works
Oberman, L. M., Enticott, P. G., Casanova, M. F., Rotenberg, A., Pascual‐Leone, Á., & McCracken, J. T. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01034 · Cited by 12 · see citing works
Sala, S. D. (2010) · Cortex · doi:10.1016/j.cortex.2010.05.010 · Cited by 8 · see citing works
December 14 Highlights and Commentary
(2004) · Neurology · doi:10.1212/wnl.63.11.1991 · Cited by 7 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
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 · see citing works
The inferior parietal lobule and temporoparietal junction: A network perspective
Igelström, K. M., & Graziano, M. S. A. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.001 · Cited by 367 · see citing works
Self-citationThe Attention Schema Theory: A Foundation for Engineering Artificial Consciousness
Graziano, M. S. A. (2017) · Frontiers in Robotics and AI · doi:10.3389/frobt.2017.00060 · Cited by 79 · see citing works
“A complicated literature suggests that, although there is some separation of function among subregions of the TPJ, considerable overlap of function is also present (Mitchell, 2008; Scholz et al., 2009; Igelström et al., 2016; Igelström and Graziano, 2017).”
BackgroundSelf-citation
- Authors
- Igelström, K. M., Webb, T. W., & Graziano, M. S. A.
- Affiliations
- Princeton University (US)
- Corresponding author
- Igelström, Kajsa M.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-04-12
- Volume
- 27
- Issue
- 4
- Pages
- bhw079
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- OpenAlex
- W2335822060
- Cited by
- 93
- References
- 99
- Citations by year
- 2026: 7 · 2025: 9 · 2024: 6 · 2023: 12 · 2022: 11 · 2021: 13 · 2020: 12 · 2019: 6 · 2018: 7 · 2017: 7 · 2016: 3
- FWCI
- 4.83
- Type
- journal article
- Language
- en
- Open access
- Licence
- other-oa
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed (publishedVersion)
- INFM-OAR (INFN Catania) (submittedVersion, other-oa)
- Funders
- Princeton Neuroscience Institute
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- autism spectrum disorder, temporoparietal junction, cerebellum, functional connectivity, resting-state fMRI, parcellation, social cognition, social dysfunction, Crus II, non-invasive brain stimulation
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Brain Mapping, Cerebellum, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Neural Pathways, Parietal Lobe, Temporal Lobe
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
