The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index; none of the 99 sources its claims cite is checked for support yet.
Autism as a disorder of prediction
Open accessAbstract
Significance: Autism is characterized by diverse behavioral traits. Guided by theoretical considerations and empirical data, this paper develops the hypothesis that many of autism's salient traits may be manifestations of an underlying impairment in predictive abilities. This impairment renders an otherwise orderly world to be experienced as a capriciously “magical” one. The hypothesis elucidates the information-processing roots of autism and, thereby, can aid the identification of neural structures likely to be differentially affected. Behavioral and neural measures of prediction might serve as early assays of predictive abilities in infants, and serve as useful tools in intervention design and in monitoring their effectiveness. The hypothesis also points to avenues for further research to determine molecular and circuit-level causal underpinnings of predictive impairments.
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Claims the paper makes
47 Not checked yet · 34 Own interpretation · 2 No basis given
None of the sources cited for this claim have been checked yet.
In the paper
“The underlying domains all constitute temporally unfolding Markov systems, with progressions from one state to another governed by probabilistic links (Fig. 1 A ).”
What the sources say
- Not checked yetcites [3] source
- Not checked yetcites [4] source
- Not checked yetcites [5] source
- Not checked yetcites [6] source
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- Not checked yetcites [11] source
- Not checked yetcites [12] source
plain- Asserted: passes — The authors put it forward as true.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a consequence of this shift, several relationships that are evident to a neurotypical individual would become undetectable to a person with autism.”
hedgeddirect- Asserted: passes — The authors put it forward as true.
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In the paper
“It is estimated that more than one-third of all individuals on the autism spectrum display some form of IoS (14).”
What the sources say
- Not checked yetcites [14] source
hedged- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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In the paper
“Insistence on sameness (IoS) is a hallmark feature of autism.”
What the sources say
- Not checked yetcites [15] source
boostedcorrelational- Asserted: passes — The authors put it forward as true.
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- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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None of the sources cited for this claim have been checked yet.
In the paper
“Predictability is a fundamental modulator of anxiety in that reduction in the ability to predict events, even without any associated aversive consequence, enhances anxious responses (21, 22).”
What the sources say
- Not checked yetcites [21] Abbott BB, Badia P (1986) Predictable versus unpredictable shock conditions and physiological measures of stress: A reply to Arthur. Psychol Bull 100:384 -387. source
- Not checked yetcites [22] Herry C, et al. (2007) Processing of temporal unpredictability in human and animal amygdala. J Neurosci 27(22):5958 -5966. source
plaindirect- Asserted: passes — The authors put it forward as true.
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None of the sources cited for this claim have been checked yet.
In the paper
“Past research with diverse populations has shown that environmental unpredictability is strongly correlated with anxiety (16 -20).”
What the sources say
boostedcorrelational- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
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None of the sources cited for this claim have been checked yet.
In the paper
“These hypersensitivities cannot be explained as outcomes of abnormally enhanced sensation (29 -31).”
What the sources say
- Not checked yetcites [29] DePape A-MR, Hall GBC, Tillmann B, Trainor LJ (2012) Auditory processing in highfunctioning adolescents with autism spectrum disorder. PLoS ONE 7(9):e44084. source
- Not checked yetcites [30] Bölte S, et al. (2012) A close eye on the eagle-eyed visual acuity hypothesis of autism. J Autism Dev Disord 42(5):726 -733. source
- Not checked yetcites [31] Ashwin E, Ashwin C, Rhydderch D, Howells J, Baron-Cohen S (2009) Eagle-eyed visual acuity: An experimental investigation of enhanced perception in autism. Biol Psychiatry 65(1):17 -21. source
plain- Asserted: passes — The authors put it forward as true.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“suggesting that stimming may be an anxiolytic response to a chaotic world: an attempt to drown out the influx of unpredictable environmental information by self-generated periodic and, hence, more predictable information.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A direct corollary is that reduced habituation reduces stimulus suppression.”
plaindirect- Asserted: passes — The authors put it forward as true.
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- Rests on an assumption: Habituation suppresses sustained stimulation.
None of the sources cited for this claim have been checked yet.
In the paper
“Studies with neurologically healthy humans and animals reveal that the ritualistic behaviors that emerge under conditions of unpredictability serve as a calming response to an externally imposed stressor (25, 26).”
What the sources say
- Not checked yetcites [25] Maier NRF (1939) Studies of Abnormal Behavior in the Rat (Harper, New York).
- Not checked yetcites [26] Eilam D, Izhar R, Mort J (2011) Threat detection: Behavioral practices in animals and humans. Neurosci Biobehav Rev 35(4):999 -1006. source
plaindirect- Asserted: passes — The authors put it forward as true.
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- Probably not a substantial claim. 14
- It may state two separate claims as one. 14
- The quote only partly states this claim. 1
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we describe how theoretical considerations and a review of empirical data lead to the hypothesis that some salient aspects of the autism phenotype may be manifestations of an underlying impairment in predictive abilities.”
hedgedconditional- Asserted: fails — The authors may not put it forward as true.
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- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim. The authors may not put it forward as true.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The hypothesis of predictive impairment in autism (PIA) posits that autism may be associated with inaccuracies in estimating the P (B j A, Δ t ) conditional probability.”
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“To perform well in these domains, one necessarily needs to estimate the underlying Markov system, i.e., the matrix of interstate transition probabilities.”
boosteddirect- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A reduction in one ' s predictive ability would, in this space, manifest as a shift of the ASF toward the upper left.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
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Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“from an observed temporal sequence, the brain has to estimate the conditional probability P (B j A, Δ t )”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
In the paper
“It is estimated that nearly 90% of all children on the autism spectrum suffer from sensory abnormalities, often hypersensitivities, to stimuli that a neurotypical individual could easily ignore (28).”
What the sources say
- Not checked yetcites [28] Leekam SR, Nieto C, Libby SJ, Wing L, Gould J (2007) Describing the sensory abnormalities of children and adults with autism. J Autism Dev Disord 37(5):894 -910. source
hedged- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: unclear — It is unclear whether the paper’s conclusions depend on it.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Taken together, these results suggest that rituals and an insistence on sameness may be a consequence of, and a way to mitigate, anxiety arising out of unpredictability.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“a parsimonious interpretation of the reliance on rituals and stimming behaviors observed in autism is that they emerge from, and represent attempts to minimize, the consequences of unpredictability.”
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: unclear — It is unclear why the paper says it holds.
It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“A key determinant of habituation is stimulus predictability. For typically developing subjects, predictability of a sequence is directly proportional to the extent of habituation it induces (22, 34 -36).”
What the sources say
- Not checked yetcites [22] Herry C, et al. (2007) Processing of temporal unpredictability in human and animal amygdala. J Neurosci 27(22):5958 -5966. source
- Not checked yetcites [34] Sokolov EN (1960) The Central Nervous System and Behavior III (Macy Foundation, New York).
- Not checked yetcites [35] McDaniel JW (1964) The effects of stimulus predictability upon auditory habituation and acquisition. Dissertation (Texas Technical College, Lubbock, TX).
- Not checked yetcites [36] Turk-Browne NB, Scholl BJ, Chun MM (2008) Babies and brains: Habituation in infant cognition and functional neuroimaging. Front Hum Neurosci 2:16.
boosteddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
In the paper
“Computational systems for dynamic object tracking rely on predictive techniques such as Kalman filtering (46). These systems demonstrate that a key consequence of impaired prediction is errors in online position estimation.”
What the sources say
- Not checked yetcites [46] Welch G, Bishop G (2001) An introduction to the Kalman Filter. Proc SIGGRAPH 2001 (Association for Computing Machinery, Los Angeles), pp 19 -24.
boosteddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Reduction in discerning predictive relationships between events in a stimulus sequence would reduce a person ' s ability to predict the onset of the next event. Such a lack of predictability would compromise habituation and lead to hypersensitivity.”
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Habituation suppresses sustained stimulation.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Theory of mind requires the ability to ascribe invisible causes to observations about a person by connecting past history with current behavior.”
plaindirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“the PIA hypothesis suggests that an endogenous predictive impairment causes environmental stimuli to appear more chaotic, leading to reduced habituation and hence greater stress.”
hedgeddirect- Asserted: passes — The authors put it forward as true.
- Checkable: passes — It can be checked against evidence.
- Load-bearing: passes — The paper’s conclusions depend on it.
- Based: passes — The paper gives a reason why it holds.
It may state two separate claims as one.
- Rests on an assumption: Habituation suppresses sustained stimulation.
None of the sources cited for this claim have been checked yet.
In the paper
“Several studies have demonstrated that unpredictability of stressors is one of the key aspects of torture and leads to the development of anxiety, fear, and aversion (19, 37).”
What the sources say
- Not checked yetcites [19] source
- Not checked yetcites [37] Bas ¸o glu M, Mineka S (1992) The role of uncontrollable and unpredictable stress in posttraumatic stress responses in torture survivors. Torture and Its Consequences: Current Treatment Approaches (Cambridge Univ Press, Cambridge, UK), pp 185 -255.
boosteddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“If the prediction systems of the brain are differentially affected in autism, then one can expect that the skills left largely untouched would be the ones that are deterministic and where good performance does not depend on estimates of temporally unfolding conditional probabilities.”
plainconditional- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Hyperarousal of these structures would, in turn, be expected to lead to hypermalleability of learning; current exposure would have disproportionate weight and supersede earlier experience, constituting a kind of ' hyperplasticity. '”
hedgedconditional- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Most of them, especially mathematics calendar calculations and music, are strongly rule-based, and, thus, minimize uncertainty of outcomes. Furthermore, with the exception of music, they are static, thereby obviating the need for prediction over time.”
boosteddirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“More recent studies (84, 85) have also documented these observations.”
What the sources say
- Not checked yetcites [84] Lyons V, Fitzgerald M (2004) Humor in autism and Asperger syndrome. J Autism Dev Disord 34(5):521 -531. source
- Not checked yetcites [85] Samson AC, Huber O, Ruch W (2013) Seven decades after Hans Asperger ' s observations: A comprehensive study of humor in individuals with Autism Spectrum Disorders. Humor 26:441 -460. source
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“In describing his patients, Hans Asperger had noted that ' an essential characteristic of these children is their humorlessness. They do not understand jokes . . . ' (83).”
What the sources say
- Not checked yetcites [83] Asperger H (1944) Die ' Autistischen Psychopathen ' im Kindesalter. Eur Arch Psychiatry Clin Neurosci 117:76 -136.
plain- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the notion of core impairments, shared by most cases of autism, seems to be at odds with the heterogeneity of the phenotype.”
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Based on theoretical considerations and a review of past literature, we believe that predictive impairment may constitute an endophenotype shared across individuals.”
hedgedcorrelational- Asserted: passes — The authors put it forward as true.
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The quote only partly states this claim.
None of the sources cited for this claim have been checked yet.
In the paper
“Autism can have many etiologies, and yet, there is some commonality across manifestations, hence a shared clinical diagnosis.”
What the sources say
- Not checked yetcites [98] Tager-Flusberg H, Joseph RM (2003) Identifying neurocognitive phenotypes in autism. Philos Trans R Soc Lond B Biol Sci 358(1430):303 -314. source
- Not checked yetcites [99] Losh M, Childress D, Lam K, Piven J (2008) Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. Am J Med Genet B Neuropsychiatr Genet 147B(4):424 -433. source
- Not checked yetcites [100] Jones W, Klin A (2009) Heterogeneity and homogeneity across the autism spectrum: The role of development. J Am Acad Child Adolesc Psychiatry 48(5):471 -473. source
plaindirect- Asserted: passes — The authors put it forward as true.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Such parametric differences may help account for the phenotypic variability observed across individuals on the autism spectrum and also potentially provide the basis for a principled taxonomy of different autism subtypes.”
hedgedconditional- Asserted: passes — The authors put it forward as true.
- Checkable: unclear — It is unclear whether it could be checked against evidence.
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It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Although it is certainly possible that the different autistic traits have different etiologies, what is appealing about the PIA hypothesis is its parsimony -an account that is able to provide a unifying explanation for not just a single trait, but for several of them.”
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim. It may be too vague to check against evidence.
In the paper
“Motor difficulties are believed to arise from abnormalities in the cerebellum (106).”
What the sources say
- Not checked yetcites [106] Mostofsky SH, et al. (2009) Decreased connectivity and cerebellar activity in autism during motor task performance. Brain 132(Pt 9):2413 -2425. source
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“Explanatory accounts have indeed been offered for each of the autistic traits we have described in Sections 2 and 3 .”
What the sources say
- Not checked yetcites [102] Takeuchi M, Harada M, Nishitani H (2002) Deficiency of ' theory of mind ' in autism estimated by fMRI. Int Congr Ser 1232:737 -740. source
- Not checked yetcites [103] Gallese V, Goldman A (1998) Mirror neurons and the simulation theory of mindreading. Trends Cogn Sci 2(12):493 -501. source
- Not checked yetcites [104] Hadjikhani N (2007) Mirror neuron system and autism Progress in Autism Research , ed Carlisle PC, (Nova Science Publishers, Happauge, NY), pp 151 -166.
plain- Asserted: passes — The authors put it forward as true.
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Probably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“For instance, difficulties in Theory of Mind have been suggested as arising from abnormalities of the cortical substrates for social cognition (102) or in the mirror neuron system (refs. 103 and 104 but see 105).”
What the sources say
- Not checked yetcites [102] Takeuchi M, Harada M, Nishitani H (2002) Deficiency of ' theory of mind ' in autism estimated by fMRI. Int Congr Ser 1232:737 -740. source
- Not checked yetcites [103] Gallese V, Goldman A (1998) Mirror neurons and the simulation theory of mindreading. Trends Cogn Sci 2(12):493 -501. source
- Not checked yetcites [104] Hadjikhani N (2007) Mirror neuron system and autism Progress in Autism Research , ed Carlisle PC, (Nova Science Publishers, Happauge, NY), pp 151 -166.
hedgedconditional- Asserted: passes — The authors put it forward as true.
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- Load-bearing: fails — The paper’s conclusions may not depend on it.
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Probably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper relies on this without support.
Autism has multiple causes.
“Autism likely owes its genesis to a multiplicity of causes.”
The paper relies on this without support.
Habituation suppresses sustained stimulation.
“A key role in suppressing sustained stimulation is played by our ability to habituate.”
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“There may be important differences in neurobiological, emotional and cognitive responses to stressors for autistic people, which warrant tailored anxiety models, assessments and interventions [24].”
From Autistic Cognition: Charting Routes to Anxiety (2021) · cites this paper as [24]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“with autism even being cast as a 'disorder of prediction' [136].”
From How Do Expectations Shape Perception? (2018) · cites this paper as [136]
In the citing paper
“In the elaboration of the Bayesian brain hypothesis of ASD (2) and subsequent theoretical papers (3, 4, 97–99), results from numerous earlier cognitive and psychophysical studies were re-interpreted post hoc in the novel framework.”
From Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice? (2016) · cites this paper as [99]
In the citing paper
“A theory of ASD that is rapidly gaining credibility is the notion that individuals with ASD do not have a robust historical representation of the world. This lack of a probabilistic “map” of the world makes it difficult for those with ASD to predict upcoming events, and this lack of predictive coding thus limits interactions with the external environment (Pellicano and Burr, 2012; Sinha et al., 2”
From Behavioral, Perceptual, and Neural Alterations in Sensory and Multisensory Function in Autism Spectrum Disorder (2015) · cites this paper as Sinha et al., 2014
Citations
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Reinforcement Learning: An Introduction
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Reinforcement Learning: An Introduction
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A neural substrate of prediction and reward
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(1943) · The Nervous child · Cited by 8,870
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
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Whatever next? Predictive brains, situated agents, and the future of cognitive science
Clark, A. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12000477 · Cited by 5,924 · cited 1×
“This program of research can build on the exciting body of recent work that has been investigating the prediction and reward machinery in the neurotypical brain, both in humans and other animals (108).”
Background
Research works printed but not linked: 1
- G Welch G Bishop An introduction to the Kalman Filter. Proc SIGGRAPH 2001 (Association for Computing Machinery Los Angeles) pp 19–24. (2001).
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Sorted by citations
Interoceptive predictions in the brain
Barrett, L. F., & Simmons, W. K. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3950 · Cited by 1,766
How Do Expectations Shape Perception?
de Lange, F. P., Heilbron, M., & Kok, P. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.06.002 · Cited by 975
“In particular, neurodevelopmental disorders such as autism spectrum disorder [132,133] and schizophrenia [134,135] have been linked to an atypical integration of prior and incoming information, with autism even being cast as a ‘disorder of prediction’ [136].”
BackgroundPredictive Processing: A Canonical Cortical Computation
Keller, G. B., & Mrsic-Flogel, T. D. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.003 · Cited by 836
“has been proposed as one of the attributes of autism (Lawson et al., 2014, 2017; Sinha et al., 2014).”
Consensus Paper: Cerebellum and Emotion
Adamaszek, M., D’Agata, F., Ferrucci, R., Habas, C., Keulen, S., Kirkby, K. C., Leggio, M. G., Mariën, P., Molinari, M., Moulton, E. A., et al. (2016) · The Cerebellum · doi:10.1007/s12311-016-0815-8 · Cited by 583
“Many ASD symptoms (motor, emotional, social) can be unified in a framework that depicts the disorder as an impairment of predicition [55] arising from a loss of connection of the frontal cortex and cerebellum during development.”
BackgroundAtypical functional connectome hierarchy in autism
Hong, S., de Wael, R. V., Bethlehem, R. A. I., Larivière, S., Paquola, C., Valk, S. L., Milham, M. P., Martino, A. D., Margulies, D. S., Smallwood, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08944-1 · Cited by 548
Baum, S. H., Stevenson, R. A., & Wallace, M. T. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.09.007 · Cited by 370
Loth, E., Charman, T., Mason, L., Tillmann, J., Jones, E. J. H., Wooldridge, C., Ahmad, J., Auyeung, B., Brogna, C., Ambrosino, S., et al. (2017) · Molecular Autism · doi:10.1186/s13229-017-0146-8 · Cited by 299
“Abnormalities in predictive coding may potentially implicated in several facets of repetitive behaviours, sensory processing anomalies, talents as well as social cognitive abilities [58].”
Visuomotor Coupling Shapes the Functional Development of Mouse Visual Cortex
Attinger, A., Wang, B., & Keller, G. B. (2017) · Cell · doi:10.1016/j.cell.2017.05.023 · Cited by 252
An integrative neural model of social perception, action observation, and theory of mind
Yang, D. Y.-J., Rosenblau, G., Keifer, C., & Pelphrey, K. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.020 · Cited by 263
“We also discuss the implications of our model for research on ASD, highlighting the temporal integration role of the pSTS and a recent hypothesis that posits that ASD can be understood as a disorder of temporal prediction (Sinha et al, 2014).”
BackgroundResultSensory, emotional and cognitive contributions to anxiety in autism spectrum disorders
South, M., & Rodgers, J. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00020 · Cited by 270
Towards a second-person neuropsychiatry
Schilbach, L. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0081 · Cited by 251
“A currently prominent theoretical suggestion states that the autistic spectrum might be characterized by deficits of predictive coding or Bayesian inference [38,39], i.”
BackgroundRedefining the role of limbic areas in cortical processing
Chanes, L., & Barrett, L. F. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.11.005 · Cited by 259
Neural variability: friend or foe?
Dinstein, I., Heeger, D. J., & Behrmann, M. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.04.005 · Cited by 266
Heeger, D. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619788114 · Cited by 220
“Subthreshold fluctuations in neural membrane potential affect neural response variability, as summarized above (80).”
BackgroundInfluentialAnzulewicz, A., Sobota, K., & Delafield‐Butt, J. T. (2016) · Scientific Reports · doi:10.1038/srep31107 · Cited by 220
“Sensorimotor timing and integration appears to be a consistent deficit, although the nature of this disruption and its effect on autism as a disorder of sensory, motor and cognitive prediction requires more work to better elucidate 11,33,49 .”
BackgroundNeil, L., Olsson, N. C., & Pellicano, E. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2721-9 · Cited by 201
“More recently, computational accounts of sensory perception have attempted to explain sensory sensitivities in autism in terms of difficulties in generating expectations in regards to the sensory environment (Lawson et al. 2014; Sinha et al. 2014; Van de Cruys et al. 2014).”
BackgroundPerceptual bias reveals slow-updating in autism and fast-forgetting in dyslexia
Lieder, I., Adam, V., Frenkel, O., Jaffe‐Dax, S., Sahani, M., & Ahissar, M. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0308-9 · Cited by 194
Solié, C., Girard, B., Righetti, B., Tapparel, M., & Bellone, C. (2022) · Nature Neuroscience · doi:10.1038/s41593-021-00972-9 · Cited by 186
“It has been suggested that impaired RPE relates to clinical phenotypes of psychiatric disorders and in particular of Autism Spectrum Disorders (ASD) 35 .”
InfluentialPrediction in autism spectrum disorder: A systematic review of empirical evidence
Cannon, J., O'Brien, A. M., Bungert, L., & Sinha, P. (2021) · Autism Research · doi:10.1002/aur.2482 · Cited by 168
“For example, there are many EEG studies that analyze MMN that were not captured by our search because they have not been described within the context of the prediction literature or were published prior to the emergence of the PIA hypothesis.”
BackgroundInfluentialSelf-citationInfant motor skill predicts later expressive language and autism spectrum disorder diagnosis
LeBarton, E. S., & Landa, R. J. (2018) · Infant Behavior and Development · doi:10.1016/j.infbeh.2018.11.003 · Cited by 183
The cascading influence of multisensory processing on speech perception in autism
Stevenson, R. A., Segers, M., Ncube, B. L., Black, K. R., Bebko, J. M., Ferber, S., & Barense, M. D. (2017) · Autism · doi:10.1177/1362361317704413 · Cited by 171
A computational perspective on autism
Rosenberg, A., Patterson, J. S., & Angelaki, D. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1510583112 · Cited by 156
“Several papers have suggested that autism impairs the ability to perform statistical inference about the sensory environment (18 – 20), reducing the influence of past experience on the interpretation of current sensory information.”
BackgroundDiCarlo, G. E., Aguilar, J. I., Matthies, H. J. G., Harrison, F. E., Bundschuh, K. E., West, A. M., Hashemi, P., Herborg, F., Rickhag, M., Chen, H., et al. (2019) · Journal of Clinical Investigation · doi:10.1172/jci127411 · Cited by 150
Inhibitory engrams in perception and memory
Barron, H. C., Vogels, T. P., Behrens, T. E., & Ramaswami, M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1701812114 · Cited by 147
Can Bayesian Theories of Autism Spectrum Disorder Help Improve Clinical Practice?
Haker, H., Schneebeli, M., & Stephan, K. E. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00107 · Cited by 130
When Beliefs Face Reality: An Integrative Review of Belief Updating in Mental Health and Illness
Κube, T., & Rozenkrantz, L. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691620931496 · Cited by 165
“In the past few years, researchers harnessed the PPF to provide a unifying theory of the otherwise unrelated ASD symptoms (Lawson, Rees, & Friston, 2014; Pellicano & Burr, 2012; Sinha et al., 2014; Van de Cruys et al., 2014).”
BackgroundInterpersonal Synchrony in Autism
McNaughton, K. A., & Redcay, E. (2020) · Current Psychiatry Reports · doi:10.1007/s11920-020-1135-8 · Cited by 133
Children on the autism spectrum update their behaviour in response to a volatile environment
Manning, C., Kilner, J., Neil, L., Karaminis, T., & Pellicano, E. (2017) · Developmental Science · doi:10.1111/desc.12435 · Cited by 103
“This link is particularly interesting given a suggestion that atypical predictive mechanisms may give rise to increased anxiety in autistic individuals (Sinha et al., 2014).”
BackgroundInfluentialKeeping time in the brain: Autism spectrum disorder and audiovisual temporal processing
Stevenson, R. A., Segers, M., Ferber, S., Barense, M. D., Camarata, S., & Wallace, M. T. (2015) · Autism Research · doi:10.1002/aur.1566 · Cited by 133
Fuld, S. (2018) · Clinical Social Work Journal · doi:10.1007/s10615-018-0649-6 · Cited by 113
Making Sense of the World: Infant Learning From a Predictive Processing Perspective
Köster, M., Kayhan, E., Langeloh, M., & Hoehl, S. (2020) · Perspectives on Psychological Science · doi:10.1177/1745691619895071 · Cited by 128
“in developmental psychology, including mentalizing about own and others’ internal bodily and mental states (Fotopoulou & Tsakiris, 2017; Palmer, Seth, & Hohwy, 2015), early language acquisition (Trainor, 2012), and autism spectrum disorder (e.g., Bolis & Schilbach, 2018; Lawson, Rees, & Friston, 2014; Pellicano & Burr…”
BackgroundPhysical activity and interoceptive processing: Theoretical considerations for future research
Wallman-Jones, A., Perakakis, P., Manos Tsakiris, A., & Schmidt, M. (2021) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2021.05.002 · Cited by 119
Male-specific deficits in natural reward learning in a mouse model of neurodevelopmental disorders
Grissom, N. M., McKee, S. E., Schoch, H., Bowman, N., Havekes, R., O'Brien, W. T., Mahrt, E., Siegel, S., Commons, K., Portfors, C., et al. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.184 · Cited by 92
Current evidence for automatic Theory of Mind processing in adults
Schneider, D., Slaughter, V. P., & Dux, P. E. (2017) · Cognition · doi:10.1016/j.cognition.2017.01.018 · Cited by 105
Zaidel, A., Goin-Kochel, R. P., & Angelaki, D. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506582112 · Cited by 92
Interpersonal predictive coding, not action perception, is impaired in autism
von der Lühe, T., Manera, V., Barišic, I., Becchio, C., Vogeley, K. T., & Schilbach, L. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0373 · Cited by 105
“Such an inability to automatically integrate social information and use it to predict subsequent actions of conspecifics has been related to a potential deficit of predictive coding in autism [42].”
BackgroundSong, Y., Nie, T., Shi, W., Zhao, X., & Yang, Y. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01902 · Cited by 117
“Meanwhile, the impairment of intelligence, cognitive control, implicit learning, and action anticipation in ASC individuals can provide some explanation for their impairment in social communication (Lieberman, 2000; Hughes, 2001; Sinha et al., 2014; Foti et al., 2015; Krogh-Jespersen et al., 2018; Bertollo and Yerys,…”
BackgroundChildren with autism spectrum disorder show reduced adaptation to number
Turi, M., Burr, D. C., Igliozzi, R., Aagten‐Murphy, D., Muratori, F., & Pellicano, E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504099112 · Cited by 100
“More generally, we believe our results fit well with the notion that autism is associated with atypicalities in flexible perceptual processing and, in particular, in prediction (11).”
ResultChambon, V., Farrer, C., Pacherie, E., Jacquet, P. O., Leboyer, M., & Zalla, T. (2017) · Cognition · doi:10.1016/j.cognition.2016.12.005 · Cited by 95
“…is the hypothesis that poor ‘‘socialspecific” priors may result in an incapability to reduce the intrinsic uncertainty of social behaviours, in turn compromising one’s ability to effectively interact with others (Chambon, Pacherie et al., 2011; Sinha et al., 2014; see also Fletcher & Frith, 2009).”
BackgroundResultInfluentialThe social neuroscience of mentalizing: challenges and recommendations
Kliemann, D., & Adolphs, R. (2018) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2018.02.015 · Cited by 99
10 years of Bayesian theories of autism: A comprehensive review
Angeletos Chrysaitis, N., & Seriès, P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.105022 · Cited by 92
Sevgi, M., Diaconescu, A. O., Tittgemeyer, M., & Schilbach, L. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.11.025 · Cited by 94
“N: 0006-3223 SEE COMMENTA characterized by deficits of predictive coding or Bayesian inference (7,8).”
RetractedSevgi, M., Diaconescu, A. O., Henco, L., Tittgemeyer, M., & Schilbach, L. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.09.032 · Cited by 97
“A currently prominent theoretical suggestion includes the assumption that the autistic spectrum might be specifically characterized by deficits of predictive coding or Bayesian inference (7,8).”
No rapid audiovisual recalibration in adults on the autism spectrum
Turi, M., Karaminis, T., Pellicano, E., & Burr, D. (2016) · Scientific Reports · doi:10.1038/srep21756 · Cited by 84
Virtual Reality Air Travel Training with Children on the Autism Spectrum: A Preliminary Report
Miller, I. T., Wiederhold, B. K., Miller, C. S., & Wiederhold, M. D. (2019) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2019.0093 · Cited by 96
Billeci, L., Narzisi, A., Campatelli, G., Crifaci, G., Calderoni, S., Gagliano, A., Calzone, C., Colombi, C., Pioggia, G., Muratori, F., et al. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.75 · Cited by 83
Enhanced rationality in autism spectrum disorder
Rozenkrantz, L., D’Mello, A. M., & Gabrieli, J. D. E. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.05.004 · Cited by 88
“Among these explanations, a mechanism that entails a shifted balance between attention to details and influence of context and prior knowledge is perhaps the most compelling mechanism to explain ASD enhanced rationality while accounting for additional core challenges in ASD [45,59,68].”
BackgroundDisentangling signal and noise in autism spectrum disorder
de Cruys, S. V., der Hallen, R. V., & Wagemans, J. P. (2016) · Brain and Cognition · doi:10.1016/j.bandc.2016.08.004 · Cited by 83
“…should be careful in stating that individuals with ASD cannot form informative priors (only ‘‘weak” or low precision priors), as several authors seem to suggest (Manning, Tibber, Charman, Dakin, & Pellicano, 2015; Pellicano & Burr, 2012; Sinha et al., 2014; Zaidel, Goin-Kochel, & Angelaki, 2015).”
The Cerebellum in Social Cognition
Sokolov, A. A. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00145 · Cited by 86
“, 2017) and concepts of ASD as a prediction deficit with prominent cerebellar pathology (Sinha et al., 2014).”
BackgroundAutistic Cognition: Charting Routes to Anxiety
Stark, E., Stacey, J., Mandy, W., Kringelbach, M. L., & Happé, F. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2021.03.014 · Cited by 77
Glimpses into the blind spot: Social interaction and autism
Bottema‐Beutel, K. (2017) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2017.06.008 · Cited by 73
O'Toole, S. M., Oyibo, H. K., & Keller, G. B. (2023) · Neuron · doi:10.1016/j.neuron.2023.08.015 · Cited by 103
Stoodley, C. J., & Tsai, P. T. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100120-092143 · Cited by 75
“These findings have led to the hypothesis that disruptions in these critical neural functions could be the underlying pathological mechanism in autism (Pellicano & Burr 2012, Sinha et al. 2014, Van de Cruys et al. 2014).”
BackgroundResultInfluentialIncreased cortical reactivity to repeated tones at 8 months in infants with later ASD
Kolesnik, A., Begum Ali, J., Gliga, T., Guiraud, J., Charman, T., Johnson, M. H., Jones, E. J. H., & The BASIS Team (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0393-x · Cited by 75
The experience and impact of anxiety in autistic adults: A thematic analysis
Robertson, A. E., Stanfield, A. C., Watt, J., Barry, F., Day, M., Cormack, M., & Melville, C. (2018) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2017.11.006 · Cited by 77
Park, W. J., Schauder, K. B., Zhang, R., Bennetto, L., & Tadin, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-17676-5 · Cited by 82
Predictive waves in the autism-schizophrenia continuum: A novel biobehavioral model
Tarasi, L., Trajkovic, J., Diciotti, S., di Pellegrino, G., Ferri, F., Ursino, M., & Romei, V. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.11.006 · Cited by 74
Piccardi, E. S., Ali, J. B., Jones, E. J. H., Mason, L., Charman, T., Johnson, M. H., Gliga, T., BASIS/STAARS Team, Agyapong, M., Bazelmans, T., et al. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-020-09334-1 · Cited by 79
Multisensory speech perception in autism spectrum disorder: From phoneme to whole‐word perception
Stevenson, R. A., Baum, S. H., Segers, M., Ferber, S., Barense, M. D., & Wallace, M. T. (2017) · Autism Research · doi:10.1002/aur.1776 · Cited by 82
“…include the weak central coherence hypothesis [Burnette et al., 2005; Frith & Happe, 1994], the predictive coding hypothesis [Pellicano & Burr, 2012; Sinha et al., 2014; van Boxtel & Lu, 2013; Van de Cruys et al., 2014], and the temporal binding hypothesis [Brock, Brown, Boucher, & Rippon, 2002].”
BackgroundReduced Sensory Habituation in Autism and Its Correlation with Behavioral Measures
Jamal, W., Cardinaux, A., Haskins, A. J., Kjelgaard, M., & Sinha, P. (2021) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-020-04780-1 · Cited by 69
Self-citationDisrupted integration of exteroceptive and interoceptive signaling in autism spectrum disorder
Noel, J., Lytle, M. N., Cascio, C. J., & Wallace, M. T. (2017) · Autism Research · doi:10.1002/aur.1880 · Cited by 76
“, hypo-priors), and indeed recent evidence appears to indicate that individuals with ASD may have difficulties in predicting upcoming events [Sinha et al., 2014; van Boxtel & Lu, 2013; Van de Cruys et al., 2014], and/or in incorporating recent sensory evidence [Noel, De Niear, Stevenson, et al.”
Kessler, K., Seymour, R. A., & Rippon, G. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.10.002 · Cited by 69
Learning prediction error neurons in a canonical interneuron circuit
Hertäg, L., & Sprekeler, H. (2020) · eLife · doi:10.7554/elife.57541 · Cited by 72
Zhou, H., Yang, H., Gong, J., Cheung, E. F. C., Gooding, D. C., Park, S., & Chan, R. C. K. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2019.07.050 · Cited by 70
The use of repetition suppression paradigms in developmental cognitive neuroscience
Nordt, M., Hoehl, S., & Weigelt, S. (2016) · Cortex · doi:10.1016/j.cortex.2016.04.002 · Cited by 91
The role of multisensory development in early language learning
Mason, G. M., Goldstein, M. H., & Schwade, J. A. (2019) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.12.011 · Cited by 83
The locus coeruleus as a global model failure system
Jordan, R. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.11.006 · Cited by 82
Jones, E. J. H., Dawson, G., & Webb, S. J. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.04.001 · Cited by 69
Slow update of internal representations impedes synchronization in autism
Vishne, G., Jacoby, N., Malinovitch, T., Epstein, T., Frenkel, O., & Ahissar, M. (2021) · Nature Communications · doi:10.1038/s41467-021-25740-y · Cited by 77
Peiker, I., David, N., Schneider, T. R., Nolte, G., Schöttle, D., & Engel, A. K. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1442-15.2015 · Cited by 71
“This interpretation would be in line with the recent notion of autism as disorder of prediction (Sinha et al., 2014).”
ResultYang, D. Y. ‐., Allen, T. T., Abdullahi, S. M., Pelphrey, K. A., Volkmar, F. R., & Chapman, S. B. (2018) · Autism Research · doi:10.1002/aur.1941 · Cited by 73
“It has been suggested that individuals with ASD tend to have difficulty in predicting events in the social world and may compensate for this by relying on the nonsocial, predictable contingencies aspects of the world to understand the world [Sinha et al., 2014; Van de Cruys et al., 2014].”
BackgroundReduced auditory cortical adaptation in autism spectrum disorder
Millin, R., Kolodny, T., Flevaris, A. V., Kale, A. M., Schallmo, M.-P., Gerdts, J., Bernier, R. A., & Murray, S. (2018) · eLife · doi:10.7554/elife.36493 · Cited by 64
“That the neural response in individuals with ASD reflects an inability to extract the temporal regularities of the stimulation sequence is consistent with theoretical accounts that suggest that many of the core symptoms of ASD, including the failure to adapt or habituate, can be framed as an inability to form predicti…”
BackgroundResultInfluentialVariability of cortical oscillation patterns: A possible endophenotype in autism spectrum disorders?
David, N., Schneider, T. R., Peiker, I., Al‐Jawahiri, R., Engel, A. K., & Milne, E. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.031 · Cited by 67
Patterns of Joint Improvisation in Adults with Autism Spectrum Disorder
Brezis, R. S., Noy, L., Alony, T., Gotlieb, R., Cohen, R., Golland, Y., & Levit‐Binnun, N. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01790 · Cited by 65
“In the Following round, ASD participants reported the challenge of poorer motor abilities, difficulty in prediction, and difficulty in sustaining focus, all known as hurdles for individuals with ASD (Bhat et al., 2011; Sinha et al., 2014; Chita-Tegmark, 2016).”
BackgroundFencková, M., Blok, L. E. R., Asztalos, L., Goodman, D. P., Čížek, P., Singgih, E. L., Glennon, J. C., IntHout, J., Zweier, C., Eichler, E. E., et al. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.029 · Cited by 68
“org/journa overload, as expected to arise from habituation deficits, are thought to represent mechanisms contributing to autism spectrum disorder (ASD) (7,8).”
Statistical learning as a window into developmental disabilities
Saffran, J. R. (2018) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-018-9252-y · Cited by 64
Hens, K. (2021) · Open Book Publishers · doi:10.11647/obp.0261 · Cited by 69
Vivanti, G., Hocking, D. R., Fanning, P. A. J., Uljarević, M., Postorino, V., Mazzone, L., & Dissanayake, C. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.01.006 · Cited by 66
Schuwerk, T., Jarvers, I., Vuori, M., & Sodian, B. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01696 · Cited by 57
Intellectual disability and autism spectrum disorders ‘on the fly’: insights from Drosophila
Coll-Tané, M., Krebbers, A., Castells‐Nobau, A., Zweier, C., & Schenck, A. (2019) · Disease Models & Mechanisms · doi:10.1242/dmm.039180 · Cited by 60
Contextual priors do not modulate action prediction in children with autism
Amoruso, L., Narzisi, A., Pinzino, M., Finisguerra, A., Billeci, L., Calderoni, S., Fabbro, F., Muratori, F., Volzone, A., & Urgesi, C. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.1319 · Cited by 58
Kumar, V. J., Grissom, N. M., McKee, S. E., Schoch, H., Bowman, N., Havekes, R., Kumar, M., Pickup, S., Poptani, H., Reyes, T. M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0157-z · Cited by 54
Using Technology to Identify Children With Autism Through Motor Abnormalities
Simeoli, R., Milano, N., Rega, A., & Marocco, . (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.635696 · Cited by 54
Zürcher, N. R., Walsh, E. C., Phillips, R., Cernasov, P., Tseng, C.-E. J., Dharanikota, A., Smith, E. P., Li, Z., Kinard, J. L., Bizzell, J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01170-0 · Cited by 59
Impaired P1 Habituation and Mismatch Negativity in Children with Autism Spectrum Disorder
Ruiz-Martínez, F. J., Rodríguez-Martínez, E. I., Wilson, C. E., Yau, S., Saldaña, D., & Gómez, C. M. (2020) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-019-04299-0 · Cited by 53
Atypical structural and functional motor networks in autism
Floris, D. L., & Howells, H. (2018) · Progress in brain research · doi:10.1016/bs.pbr.2018.06.010 · Cited by 57
Xavier, J., Gauthier, S., Cohen, D., Zahoui, M., Chétouani, M., Villa, F., Berthoz, A., & Anzalone, S. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01467 · Cited by 52
Theriault, J. E., Shaffer, C., Dienel, G. A., Sander, C. Y. M., Hooker, J. M., Dickerson, B. C., Barrett, L. F., & Quigley, K. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105373 · Cited by 60
Dow, D., Morgan, L., Hooker, J. L., Michaels, M. S., Joiner, T. E., Woods, J. J., & Wetherby, A. M. (2019) · Archives of Suicide Research · doi:10.1080/13811118.2019.1678537 · Cited by 52
“These experiences, in turn, lead to the formation of negative schemas that contribute to the increased risk of experiencing depression (Gaus, 2011), and when compounded with an impaired ability to predict future experiences (Sinha et al., 2014), likely further contribute to the development of anxiety symptoms.”
BackgroundAlexithymia explains atypical spatiotemporal dynamics of eye gaze in autism
Cuve, H. C., Castiello, S., Shiferaw, B. A., Ichijo, E., Catmur, C., & Bird, G. (2021) · Cognition · doi:10.1016/j.cognition.2021.104710 · Cited by 51
Oldrati, V., Ferrari, E., Butti, N., Cattaneo, Z., Borgatti, R., Urgesi, C., & Finisguerra, A. (2021) · Brain Structure and Function · doi:10.1007/s00429-020-02198-0 · Cited by 51
Increased variability but intact integration during visual navigation in Autism Spectrum Disorder
Noel, J., Lakshminarasimhan, K. J., Park, H., & Angelaki, D. E. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2000216117 · Cited by 47
Neural Substrates of the Drift-Diffusion Model in Brain Disorders
Gupta, A., Bansal, R., Alashwal, H., Kaçar, A. Ş., Balcı, F., & Moustafa, A. A. (2022) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2021.678232 · Cited by 49
“Some of the cognitive deficits in ASD persistently selecting the same choices, sensory hypersensitivity, and impaired interactions with dynamic objects (Sinha et al., 2014).”
BackgroundUnimpaired attentional disengagement in toddlers with autism spectrum disorder
Fischer, J., Smith, H., Martinez‐Pedraza, F., Carter, A. S., Kanwisher, N., & Káldy, Z. (2015) · Developmental Science · doi:10.1111/desc.12386 · Cited by 47
“In these studies children with ASD may have had more difficulty than their TD peers learning the regularities in the stimulus sequences and forming expectations about what would come next (Pellicano & Burr, 2012; Sinha et al., 2014; Van de Cruys et al., 2014).”
The light-from-above prior is intact in autistic children
Croydon, A., Karaminis, T., Neil, L., Burr, D. C., & Pellicano, E. (2017) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2017.04.005 · Cited by 45
Stevenson, R. A., Toulmin, J. K., Youm, A., Besney, R. M. A., Schulz, S. E., Barense, M. D., & Ferber, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-14632-1 · Cited by 48
Repetition suppression and memory for faces is reduced in adults with autism spectrum conditions
Ewbank, M. P., Pell, P. J., Powell, T. E., von dem Hagen, E. A. H., Baron-Cohen, S., & Calder, A. J. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw373 · Cited by 45
“Recent proposals have characterized atypicalities in autism as a “disorder of prediction” (Sinha et al. 2014) or “attenuated use of prior knowledge” (Pellicano and Burr 2012), while predictive coding theories propose that RS is a consequence of a decrease in prediction error, that is, difference between bottom-up (sti…”
BackgroundSchuwerk, T., Sodian, B., & Paulus, M. (2016) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-016-2899-x · Cited by 44
“This universality of Sinha et al. (2014) account leads to an ambiguity in the interpretation the current findings: Does the reduced action prediction rate of participants with ASC in the current study reflect impaired action prediction or impaired movement trajectory prediction?”
BackgroundResultInfluentialWilliams, K. L., Campi, E., & Baranek, G. T. (2021) · Research in Autism Spectrum Disorders · doi:10.1016/j.rasd.2021.101763 · Cited by 45
First episode psychosis and comorbid ADHD, autism and intellectual disability
Strålin, P., & Hetta, J. E. (2018) · European Psychiatry · doi:10.1016/j.eurpsy.2018.09.007 · Cited by 46
Metadata
- Authors
- Sinha, P., Kjelgaard, M. M., Gandhi, T. K., Tsourides, K., Cardinaux, A. L., Pantazis, D., Diamond, S. P., & Held, R. M.
- Affiliations
- Massachusetts Institute of Technology (US)
- MGH Institute of Health Professions (US)
- Defence Institute of Physiology and Allied Sciences (IN)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-10-06
- Volume
- 111
- Issue
- 42
- Pages
- 15220-15225
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4210351
- OpenAlex
- W2088415689
- Cited by
- 563
- References
- 119
- Citations by year
- 2026: 43 · 2025: 47 · 2024: 48 · 2023: 67 · 2022: 47 · 2021: 79 · 2020: 56 · 2019: 41 · 2018: 38 · 2017: 40 · 2016: 36 · 2015: 20
- FWCI
- 17.70
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- autism spectrum disorder, prediction, predictive processing, autism phenotype, theory of mind, social cognition, diagnostic biomarkers, autism treatment
- MeSH terms
- Autistic Disorder, Basal Ganglia, Cerebellum, Cognition, Corpus Striatum, Humans, Infant, Language, Markov Chains, Models, Theoretical, Neuronal Plasticity, Phenotype, Probability, Social Behavior, Time Factors
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