Cited by 7Autism Spectrum Disorder ResearchGenetics and Neurodevelopmental DisordersFunctional Brain Connectivity Studies

Late fMRI Response Components Are Altered in Autism Spectrum Disorder

Open access
Murray, Scott O., Kolodny, Tamar, Schallmo, Michael-Paul, Gerdts, Jennifer, Bernier, Raphael A.·2020·Frontiers in Human Neuroscience

Abstract

Disrupted cortical neural inhibition has been hypothesized to be a primary contributor to the pathophysiology of autism spectrum disorder (ASD). This hypothesis predicts that ASD will be associated with an increase in neural responses. We tested this prediction by comparing fMRI response magnitudes to simultaneous visual, auditory, and motor stimulation in ASD and neurotypical (NT) individuals. No increases in the initial transient response in any brain region were observed in ASD, suggesting that there is no increase in overall cortical neural excitability. Most notably, there were widespread fMRI magnitude increases in the ASD response following stimulation offset, approximately 6-8 s after the termination of sensory and motor stimulation. In some regions, the higher fMRI offset response in ASD could be attributed to a lack of an "undershoot"-an often observed feature of fMRI responses believed to reflect inhibitory processing. Offset response magnitude was associated with reaction times (RT) in the NT group and may explain an overall reduced RT in the ASD group. Overall, our results suggest that increases in neural responsiveness are present in ASD but are confined to specific components of the neural response, are particularly strong following stimulation offset, and are linked to differences in RT.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fnhum.2020.00241

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Flagged first, then by citations

Research works printed but not linked: 45

  1. American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders (5th Edition). Arlington, VA: American Psychiatric Publishing.
  2. Antoine M. W. Langberg T. Schnepel P. Feldman D. E. (2019). Increased excitation-inhibition ratio stabilizes synapse and circuit excitability in four autism mouse models. Neuron 101, 648.e4– 661.e4. 10.1016/j.neuron.2018.12.026 30679017 PMC6733271 · DOI · Paper page
  3. Benda J. Herz A. V. (2003). A universal model for spike-frequency adaptation. Neural Comput. 15, 2523– 2564. 10.1162/089976603322385063 14577853 · DOI
  4. Brandwein A. B. Foxe J. J. Butler J. S. Frey H.-P. Bates J. C. Shulman L. H.. (2015). Neurophysiological indices of atypical auditory processing and multisensory integration are associated with symptom severity in autism. J. Autism Dev. Disord. 45, 230– 244. 10.1007/s10803-014-2212-9 25245785 PMC4289100 · DOI · Paper page
  5. Butler J. S. Molholm S. Andrade G. N. Foxe J. J. (2016). An examination of the neural unreliability thesis of autism. Cereb. Cortex 27, 185– 200. 10.1093/cercor/bhw375 27923839 PMC5939224 · DOI
  6. Chen J. J. Pike G. B. (2009). Origins of the BOLD post-stimulus undershoot. NeuroImage 46, 559– 568. 10.1016/j.neuroimage.2009.03.015 19303450 · DOI
  7. Coghlan S. Horder J. Inkster B. Mendez M. A. Murphy D. G. Nutt D. J. (2012). GABA system dysfunction in autism and related disorders: from synapse to symptoms. Neurosci. Biobehav. Rev. 36, 2044– 2055. 10.1016/j.neubiorev.2012.07.005 22841562 PMC4477717 · DOI
  8. Connors B. W. Gutnick M. J. (1990). Intrinsic firing patterns of diverse neocortical neurons. Trends Neurosci. 13, 99– 104. 10.1016/0166-2236(90)90185-d 1691879 · DOI
  9. Fatemi S. H. Reutiman T. J. Folsom T. D. Thuras P. D. (2009). GABA A receptor downregulation in brains of subjects with autism. J. Autism Dev. Disord. 39, 223– 230. 10.1007/s10803-008-0646-7 18821008 PMC2697059 · DOI · Paper page
  10. Ford T. C. Crewther D. P. (2016). A comprehensive review of the 1H-MRS metabolite spectrum in autism spectrum disorder. Front. Mol. Neurosci. 9: 14. 10.3389/fnmol.2016.00014 27013964 PMC4783404 · DOI
  11. Foss-Feig J. H. Adkinson B. D. Ji J. L. Yang G. Srihari V. H. McPartland J. C.. (2017). Searching for cross-diagnostic convergence: neural mechanisms governing excitation and inhibition balance in schizophrenia and autism spectrum disorders. Biol. Psychiatry 81, 848– 861. 10.1016/j.biopsych.2017.03.005 28434615 PMC5436134 · DOI
  12. Green S. A. Hernandez L. Bookheimer S. Y. Dapretto M. (2016). Salience network connectivity in autism is related to brain and behavioral markers of sensory overresponsivity. J. Am. Acad. Child Adolesc. Psychiatry 55, 618.e1– 626.e1. 10.1016/j.jaac.2016.04.013 27343889 PMC4924541 · DOI
  13. Green S. A. Hernandez L. Tottenham N. Krasileva K. Bookheimer S. Y. Dapretto M. (2015). Neurobiology of sensory overresponsivity in youth with autism spectrum disorders. JAMA Psychiatry 72, 778– 786. 10.1001/jamapsychiatry.2015.0737 26061819 PMC4861140 · DOI
  14. Hanlon F. M. Shaff N. A. Dodd A. B. Ling J. M. Bustillo J. R. Abbott C. C.. (2016). Hemodynamic response function abnormalities in schizophrenia during a multisensory detection task. Hum. Brain Mapp. 37, 745– 755. 10.1002/hbm.23063 26598791 PMC4718785 · DOI
  15. Harms M. P. Melcher J. R. (2003). Detection and quantification of a wide range of fMRI temporal responses using a physiologically-motivated basis set. Hum. Brain Mapp. 20, 168– 183. 10.1002/hbm.10136 14601143 PMC1866291 · DOI
  16. Hasan A. Wobrock T. Grefkes C. Labusga M. Levold K. Schneider-Axmann T.. (2012). Deficient inhibitory cortical networks in antipsychotic-naive subjects at risk of developing first-episode psychosis and first-episode schizophrenia patients: a cross-sectional study. Biol. Psychiatry 72, 744– 751. 10.1016/j.biopsych.2012.03.005 22502988 · DOI
  17. Heeger D. J. Behrmann M. Dinstein I. (2017). Vision as a beachhead. Biol. Psychiatry 81, 832– 837. 10.1016/j.biopsych.2016.09.019 27884424 · DOI
  18. Hoftman G. D. Volk D. W. Bazmi H. H. Li S. Sampson A. R. Lewis D. A. (2015). Altered cortical expression of GABA-related genes in schizophrenia: illness progression vs. developmental disturbance. Schizophr. Bull. 41, 180– 191. 10.1093/schbul/sbt178 24361861 PMC4266281 · DOI
  19. Kastrup A. Baudewig J. Schnaudigel S. Huonker R. Becker L. Sohns J. M.. (2008). Behavioral correlates of negative BOLD signal changes in the primary somatosensory cortex. NeuroImage 41, 1364– 1371. 10.1016/j.neuroimage.2008.03.049 18495495 · DOI
  20. Kolodny T. Schallmo M.-P. Gerdts J. Bernier R. A. Murray S. O. (2020a). Response dissociation in hierarchical cortical circuits: a unique feature of autism spectrum disorder. J. Neurosci. 40, 2269– 2281. 10.1523/JNEUROSCI.2376-19.2020 32015023 PMC7083290 · DOI
  21. Kolodny T. Schallmo M. P. Gerdts J. Edden R. A. Bernier R. A. Murray S. O. (2020b). Concentrations of cortical GABA and glutamate in young adults with autism spectrum disorder. Autism Res. [Epub ahead of print]. 10.1002/aur.2300 32297709 PMC7387217 · DOI
  22. Kopp-Scheinpflug C. Sinclair J. L. Linden J. F. (2018). When sound stops: offset responses in the auditory system. Trends Neurosci. 41, 712– 728. 10.1016/j.tins.2018.08.009 30274606 · DOI
  23. Leventhal A. G. Wang Y. Pu M. Zhou Y. Ma Y. (2003). GABA and its agonists improved visual cortical function in senescent monkeys. Science 300, 812– 815. 10.1126/science.1082874 12730605 · DOI
  24. Lewis D. A. Hashimoto T. Volk D. W. (2005). Cortical inhibitory neurons and schizophrenia. Nat. Rev. Neurosci. 6, 312– 324. 10.1038/nrn1648 15803162 · DOI · Paper page
  25. Liu Y.-H. Wang X.-J. (2001). Spike-frequency adaptation of a generalized leaky integrate-and-fire model neuron. J. Comput. Neurosci. 10, 25– 45. 10.1023/a:1008916026143 11316338 · DOI
  26. Millin R. Kolodny T. Flevaris A. V. Kale A. M. Schallmo M.-P. Gerdts J.. (2018). Reduced auditory cortical adaptation in autism spectrum disorder. Elife 7: e36493. 10.7554/eLife.36493 30362457 PMC6203433 · DOI · Paper page
  27. Mullinger K. J. Cherukara M. T. Buxton R. B. Francis S. T. Mayhew S. D. (2017). Post-stimulus fMRI and EEG responses: evidence for a neuronal origin hypothesised to be inhibitory. NeuroImage 157, 388– 399. 10.1016/j.neuroimage.2017.06.020 28610902 PMC6475192 · DOI
  28. Mullinger K. J. Mayhew S. D. Bagshaw A. P. Bowtell R. Francis S. T. (2013). Poststimulus undershoots in cerebral blood flow and BOLD fMRI responses are modulated by poststimulus neuronal activity. Proc. Natl. Acad. Sci. U S A 110, 13636– 13641. 10.1073/pnas.1221287110 23898206 PMC3746922 · DOI
  29. Murray S. O. Schallmo M.-P. Kolodny T. Millin R. Kale A. Thomas P.. (2018). Sex differences in visual motion processing. Curr. Biol. 28, 2794.e3– 2799.e3. 10.1016/j.cub.2018.06.014 30122530 PMC6133755 · DOI
  30. Nelson S. B. Valakh V. (2015). Excitatory/inhibitory balance and circuit homeostasis in autism spectrum disorders. Neuron 87, 684– 698. 10.1016/j.neuron.2015.07.033 26291155 PMC4567857 · DOI · Paper page
  31. Priebe N. J. Churchland M. M. Lisberger S. G. (2002). Constraints on the source of short-term motion adaptation in macaque area MT: I. The role of input and intrinsic mechanisms. J. Neurophysiol. 88, 354– 369. 10.1152/jn.00852.2001 12091560 PMC2581621 · DOI
  32. Priebe N. J. Lisberger S. G. (2002). Constraints on the source of short-term motion adaptation in macaque area MT: II. Tuning of neural circuit mechanisms. J. Neurophysiol. 88, 370– 382. 10.1152/jn.2002.88.1.370 12091561 PMC2581620 · DOI
  33. Qin L. Chimoto S. Sakai M. Wang J. Sato Y. (2007). Comparison between offset and onset responses of primary auditory cortex ON-OFF neurons in awake cats. J. Neurophysiol. 97, 3421– 3431. 10.1152/jn.00184.2007 17360820 · DOI
  34. Robertson C. E. Baron-Cohen S. (2017). Sensory perception in autism. Nat. Rev. Neurosci. 18, 671– 684. 10.1038/nrn.2017.112 28951611 · DOI · Paper page
  35. Robertson C. E. Ratai E.-M. Kanwisher N. (2016). Reduced GABAergic action in the autistic brain. Curr. Biol. 26, 80– 85. 10.1016/j.cub.2015.11.019 26711497 · DOI · Paper page
  36. Rogers S. J. Hepburn S. Wehner E. (2003). Parent reports of sensory symptoms in toddlers with autism and those with other developmental disorders. J. Autism Dev. Disord. 33, 631– 642. 10.1023/b:jadd.0000006000.38991.a7 14714932 · DOI · Paper page
  37. Rubenstein J. Merzenich M. (2003). Model of autism: increased ratio of excitation/inhibition in key neural systems. Genes Brain Behav. 2, 255– 267. 10.1034/j.1601-183x.2003.00037.x 14606691 PMC6748642 · DOI · Paper page
  38. Schallmo M.-P. Kale A. M. Millin R. Flevaris A. V. Brkanac Z. Edden R. A.. (2018). Suppression and facilitation of human neural responses. Elife 7: e30334. 10.7554/eLife.30334 29376822 PMC5812713 · DOI
  39. Schallmo M.-P. Millin R. Kale A. M. Kolodny T. Edden R. A. Bernier R. A.. (2019). Glutamatergic facilitation of neural responses in MT enhances motion perception in humans. NeuroImage 184, 925– 931. 10.1016/j.neuroimage.2018.10.001 30312807 PMC6230494 · DOI
  40. Shmuel A. Augath M. Oeltermann A. Logothetis N. K. (2006). Negative functional MRI response correlates with decreases in neuronal activity in monkey visual area V1. Nat. Neurosci. 9, 569– 577. 10.1038/nn1675 16547508 · DOI · Paper page
  41. Siegel J. S. Power J. D. Dubis J. W. Vogel A. C. Church J. A. Schlaggar B. L.. (2014). Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high-motion data points. Hum. Brain Mapp. 35, 1981– 1996. 10.1002/hbm.22307 23861343 PMC3895106 · DOI · Paper page
  42. Stan A. D. Lewis D. A. (2012). Altered cortical GABA neurotransmission in schizophrenia: insights into novel therapeutic strategies. Curr. Pharm. Biotechnol. 13, 1557– 1562. 10.2174/138920112800784925 22283765 PMC3345302 · DOI
  43. Takarae Y. Sablich S. R. White S. P. Sweeney J. A. (2016). Neurophysiological hyperresponsivity to sensory input in autism spectrum disorders. J. Neurodev. Disord. 8: 29. 10.1186/s11689-016-9162-9 27504143 PMC4976475 · DOI
  44. Talairach J. Tournoux P. (1988). Co-Planar Stereotaxic Atlas of the Human Brain: 3-Dimensional Proportional System: An Approach to Cerebral Imaging. Stuttgart; New York, NY: Georg Thieme.
  45. Uludağ K. (2008). Transient and sustained BOLD responses to sustained visual stimulation. Magn. Reson. Imaging 26, 863– 869. 10.1016/j.mri.2008.01.049 18479869 · DOI

Authors
Murray, S. O., Kolodny, T., Schallmo, M.-P., Gerdts, J., & Bernier, R. A.
Affiliations
  • University of Washington (US)
  • University of Minnesota (US)
Corresponding author
Murray, Scott O.
Venue
Frontiers in Human Neuroscience
Published
2020-06-30
Volume
14
Pages
241-241
ISSN
1662-5161 (ISSN-L)
OpenAlex
W3037395630
Cited by
7
References
9
Citations by year
2026: 1 · 2024: 2 · 2023: 2 · 2022: 2
FWCI
0.54
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Human Neuroscience (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
National Institute of Mental Health
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetics and Neurodevelopmental Disorders
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Keywords
autism spectrum disorder, neural inhibition, cortical excitability, undershoot, reaction time, sensory stimulation, motor stimulation

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