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The relationship between autism and memory, specifically memory functions in relation to autism spectrum disorder (ASD), is an ongoing topic of research. ASD is a neurodevelopmental disorder characterised by social communication and interaction impairments, along with restricted and repetitive patterns of behavior. In this article, the word autism is used to refer to the whole range of conditions on the autism spectrum, which are not uncommon.

Although memory difficulty is not part of the diagnostic criteria for autism spectrum disorder (ASD), it is a common symptom experienced by many autistic people.

Overview

Some of the earliest references to the topic of autism and memory dated back to the 1960s and 1970s, when several studies appeared proposing that autism should be classified as amnesia. What is now diagnosed as autism was formerly diagnosed as developmental amnesia. Although the views of autism as an amnesia of memory have now been rejected, there are still many studies done on the relationship between memory functions and autism.

Long-term memory

There are two types of long-term memory; both of which have been studied in relation to autism. Declarative memory is memory that can be consciously recalled, such as facts and knowledge. Declarative memory includes semantic and episodic memory. Semantic memory involves the recollection of facts, and episodic memory involves the recollection of previous experiences in life. Studies on autistic people have shown impairments in their episodic memory but relative preservation of their semantic memory. The brain regions that play a major role in declarative learning and memory are the hippocampus and regions of the medial temporal lobe.

Declarative memory and autism

Autobiographical memory

Autobiographical memory is an example of declarative memory. One aspect of autobiographical memory is the self-reference effect, which means that typically people have a stronger memory for information that is relevant to themselves. It has been theorized that autistic people have diminished psychological self-knowledge but intact physical self-knowledge. As a result, these individuals show impaired autobiographical episodic memory and a reduced self-reference effect (which may each rely on psychological aspects of the self-concept), but do not show specific impairments in memory for their own rather than others' actions (which may rely on physical aspects of the self-concept).

Explicit memory retrieval and recognition

Autistic people do not always conform to the Levels of Processing principle since they benefit from both deep and superficial recall cues.

Recognition in HFA (highly functioning autistic) individuals has been widely studied. Overall, these studies conclude that the majority of HFA individuals have intact recognition abilities. Non-social stimulus recognition is often superior, or "robustly intact", although there is some evidence suggesting that HFA individuals have difficulty with complex scenes and color combinations. For example, HFA individuals exhibit intact recognition of non-social stimuli such as written words, spoken sentences, pictures of common objects, and meaningless patterns or shapes. For HFA individuals, impaired recognition has been found in object-location and object-color recognition tests and in the recognition of words encoded self-referentially. For more information regarding the recognition of social stimuli by autistic people, see the face perception page.

Contrary to the plethora of HFA recognition memory studies, the study of recognition for M-LFA individuals is considerably lacking. The studies that do exist predominantly point to impaired recognition of pictures, words to name objects, and other non-social stimuli. Four delayed recognition studies reported recognition impairments for M-LFA participants. Additionally, four of the seven primary studies of non-social stimuli recognition revealed significant impairment of non-social stimuli for M-LFA individuals. The other three studies were less reliable because of their methodology. Boucher, Lewis, and Collis gathered data supporting poor facial recognition, something widely observed for M-LFA individuals.

Implicit/Non-declarative memory

Implicit memory is non-declarative memory that relies on past experiences to help recall things without actively thinking of them. Procedural memory, classical conditioning, and priming are all included in implicit memory; for example, procedural skills, such as riding a bike, become so natural over time that one does not have to explicitly think about them. The brain regions that process implicit memory are the basal ganglia and the cerebellum. Research suggests that HFA and M-LFA individuals show strong implicit memory functions. HFA individuals display intact implicit memory for non-social stimuli, unimpaired classical conditioning, and performance on other implicit learning tasks. HFA individuals displayed normal perceptual and conceptual priming. Studies concerning implicit memory in M-LFA individuals are sparse, and further study is needed.

As mentioned above, there are very few reliable studies of non-declarative memory for M-LFA. However, there are some speculations. Some consider that the impaired motor skills evident in many cases of M-LFA may suggest impaired procedural learning. Other studies, including Walenski (2006) and Romero-Muguia (2008), also think that ASD behavior is indicative of implicit memory function. For example, many autistic people have exceptional implicit perceptual processing abilities in mathematics, the arts and in musical improvisation. Furthermore, there is speculation that because M-LFA individuals are often characterised by habit and routine, habit formation is likely unimpaired. Behavioral treatments and therapies used with M-LFA individuals are usually very helpful, suggesting that implicit knowledge can be acquired and conditioning is intact.

Working memory and autism

Working memory, a cognitive system with limited capacity that retains and manipulates multiple pieces of transient information, has been found to be affected in individuals with ASD. Certain studies have suggested that deficits in working memory performance exist in individuals with ASD, especially when it comes to verbally mediated working memory tasks. One reason for this impairment is due to the working memory which is a part of the executive functions (EF), an umbrella term for cognitive processes that regulate, control, and manage other cognitive processes, for instance planning and attention.

A majority of the research has found that individuals with autism perform poorly on measures of executive function. A general decrease in working memory (WM) is one of the limitations, although some studies have shown that working memory is not impaired in autistic children relative to controls matched for IQ. However, some evidence suggests that there may be minimal impairment in high-functioning autistic (HFA) individuals in that they have intact associative learning ability, verbal working memory, and recognition memory. In rare cases, there are even instances of individuals possessing extremely good memory in constricted domains which are typically characterised as savants. Bennetto, Pennington and Rogers also suggest that WM deficits and limited EF is likely compounded by the onset of autism where early development yields hindrances in social interaction which typically (i.e. without impairment) improves both WM and EF. However, due to limited ability in interpreting social gestures and an impaired ability to process such information in a holistic and comprehensive manner, individuals with autism are subject to diminishing and confounding instances of memory functions and performance.

Global working memory

Beversdorf finds that autistic individuals are not as reliant on contextual information (i.e. comparing typically related schemas) to aid in memory consolidation, they are less likely to rely on semantically similar cues (ex. Doctor-Nurse vs. Doctor-Beach). Thus, an autistic individual would fare well on discriminating and recalling accurate items from false items.

Bennetto, Pennington and Rogers investigated the degree of cognitive impairment in autistic individuals with an emphasis on illuminating the latency in executive functioning. Findings suggested a hindrance in temporal order, source, free recall and working memory. However, their participants did exhibit capable short and long-term memory, cued recall and the capacity to learn new material. In sum, they suggested that there is both a general deficit in global working memory and a specific impairment in social intelligence where the former is exacerbated by the latter and vice versa.

Other evidence points towards unique mnemonic strategies used by autistic individuals wherein they rely less on semantic associative networks and are less constricted by conventional word-word associations (ex. Orange-Apple). This may be due to abnormalities in MTL regions. Thus, autistic individuals may have the capacity for more abstract but robust associations. Firth addresses this with the term "weak Central Coherence", meaning a reduced tendency for processing information in context and integration of higher-level meaning. This may explain why autistic individuals have a heightened capacity for noticing seemingly disjointed details. For example, in the Embedded Figures Test (EFT) autistic individuals exhibited a faster and heightened ability to locate the target because of their diminished reliance on global perception. In a study conducted on autistic children, it was shown that neurocognition influences word learning in autistic children. The process of syntactic development requires a child to match co-occurrences of words or parts of words (morphemes) and their meanings. This process can depend on working memory. The limited short term verbal memory paired with working memory may be the reason of language delay in children with autism. According to the result of this experiment the group with autism was able to perform the part of the test with nonlinguistic cues which depended on working memory but failed to pass short-term memory and the linguistic part of it. This explains the delay of language in autistic children and neurocognition is an important contributor to it.

Central executive or executive functioning

It is believed that a dysfunction in working memory significantly influences the symptoms associated with autism spectrum disorders. In examining autism through the lens of Baddeley & Hitch's model of working memory, there have been conflicting results in the research. Some studies have shown that individuals that fall within the spectrum have impaired executive functioning, which means working memory does not function correctly. However, other studies have failed to find an effect in autistic people with a high level of functioning. Tests such as the Wisconsin Card Sorting Test have been administered to autistic individuals, and the lower scores have been interpreted as indicative of a poor ability to focus on relevant information and thus a deficit within the central executive aspect of working memory. An aspect of ASD is that it might be present, to a certain extent, in first-degree relatives. One study found that siblings of autistic individuals have limited ability to focus and conceptualize categories using updated information. Given these results, it is reasonable to suggest that these so-called deficits in cognitive ability are of the cognitive endophenotypes (i.e., relatives) of ASD.

Category integration

Given these findings, it would appear that autistic individuals have trouble categorizing. Studies have shown that category induction is in fact possible and can occur at the same cognitive level as non-autistic individuals. Given that aspects of category formation such as discrimination and feature detection are enhanced among autistic individuals, it is viable to state that although autistic individuals require more trials and/or time to learn material and may employ different learning strategies than non-autistic individuals, once learned, the level of categorization displayed is on par with that of a non-autistic individual.

The idea that autistic individuals learn differently than those without autism can account for the delay in their ability to categorize. However, once they begin categorizing they are at an average level of cognitive ability as compared to those without autism. This, however, is only applicable to higher functioning individuals within the spectrum as those with lower IQ levels are notoriously difficult to test and measure.

In part with a different style of learning, individuals within the spectrum have also been proposed to have a weak central coherence. This theory meshes well with the general traits of individuals within the spectrum. Again though, this is explained through different learning styles. As opposed to viewing a forest as a collection of trees, those with autism see one tree, and another tree, and another tree and thus it takes an immense amount of time to process complex tasks in comparison with non-autistic people. Weak central coherence can be used to explain what is viewed as a working memory deficit in attention or inhibition, as autistic individuals possess an intense focus on single parts of a complex, multi-part concept and cannot inhibit this in order to withdraw focus and direct it on the whole rather than a singular aspect. Thus, this suggests that the decrement in working memory is partially inherited which is then exacerbated by further genetic complications leading to a diagnosis of autism.

Visual and spatial memory

Deficits in spatial working memory appear to be familial in people with autism, and probably even in their close relatives. Replication of movements by others, a task that requires spatial awareness and memory capacities, can also be difficult for autistic children and adults.

People with Asperger's Syndrome were found to have spatial working memory deficits compared with control subjects on the Executive-Golf Task, although these may be indicative of a more general deficit in non-verbal intelligence in people with ASD. Despite these results, autistic children have been found to be superior to typically developing children in certain tasks, such as map learning and cued path recall regarding a navigated real-life labyrinth. Steele et al. attempts to explain this discrepancy by advancing the theory that the performance of autistic people on spatial memory tasks degrades faster in the face of increasing task difficulty, when compared with normally developed individuals. These results suggest that working memory is related with an individual's ability to solve problems, and that autism is a hindrance in this area.

Autistic people appear to have a local bias for visual information processing, that is, a preference for processing local features (details, parts) rather than global features (the whole). One explanation for this local bias is that people with autism do not have the normal global precedence when looking at objects and scenes. Alternatively, autism could bring about limitations in the complexity of information that can be manipulated in short-term visual memory during graphic planning.

The difficulties that individuals with ASD often have in regards to facial recognition has prompted further questions. Some researches have shown that the fusiform gyrus in ASD individuals act differently from in non-ASD individuals which may explain the aforementioned troubles regarding facial recognition.

Research by Baltruschat et al. has shown that improvement in spatial working memory for autistic individuals may be possible. Adapting a behaviorist approach by using positive reinforcement could increase WM efficiency in young children with ASD.

Auditory and phonological memory

The research on phonological working memory in autism is extensive and at times conflicting. Some research has found that, in comparison with spatial memory, verbal memory and inner speech use remain relatively spared, while other studies have found limitations on the use of inner speech by autistic people. Others have found a benefit to phonological processing in autism when compared with semantic processing, and attribute the results to a similar developmental abnormality to that in savant syndrome.

In particular, Whitehouse et al. have found that autistic children, when compared with typically developing (TD) children of a similar mean verbal age and reading ability, performed better when asked to recall a set of pictures presented to them, but not as well when asked to recall a set of printed words presented interspersed with the pictures; a competing verbal task given to both sets of participants also worsened performance on control children more than it did on autistic children. They also reported that word length effects were greater for the control group. These results are contested by Williams, Happé, and Jarrold, who contend that it may be verbal IQ, rather than verbal ability, that is at issue, and Whitehouse et al.'s subjects were not matched on chronological age. Williams, Happé, and Jarrold themselves found no difference between autistic children and controls on a serial recall task where phonological similarity effects, rather than word length effects, were used as an alternate measure of inner speech use.

Joseph et al. found that a self-ordered pointing task in autistic children involving stimuli that could be remembered as words (e.g. shovel, cat) was impaired relative to comparison children, but the same task with abstract stimuli was not impaired in autistic children. In contrast, Williams et al. found that autistic children scored significantly lower than TD children on spatial memory tests. Williams et al. not only experimented with spatial memory tasks, but verbal memory as well. They discovered that in an experimental group and a control group of TD individuals, that while differences were found in spatial memory ability, no significant difference was seen between the groups regarding verbal memory. They ran their experiments with both children and adult participants. Autism is a developmental disorder, so it is possible that life experiences could alter the memory performance in adults who had grown up with autism. Williams et al. experimented with children separately to see if they had different results from their adult counterparts. They used a WRAML (Wide Range Assessment of Memory and Learning) test, a test specifically designed to test memory in children. Test results were similar across all age groups, that significant differences between TD and autistic participants are found only in spatial memory, not verbal working memory.

Gabig et al. discovered that children with autism, regarding verbal working memory and story retelling, performed worse than a control group of TD children. In three separate tasks designed to test verbal working memory, the autistic children scored well below the expected levels for their age. While results do show lower scores for autistic children, there was also information that suggested lack of vocabulary contributed to the lower scores, rather than working memory itself.

There is some evidence from an fMRI study that autistic individuals are more likely to use visual cues rather than verbal cues on some working memory tasks, based on the differentially high activation of right parietal regions over left parietal regions in an N-back working memory task with letters.

Opposing results

Some data has shown that individuals with ASD may not have WM (working memory) impairments and that this supposed impairment observed is a result of testing. Nakahachi et al. argue that the vagueness of many tests measuring WM levels in people with ASD is the cause. They found that people with ASD only performed worse on WM tests if the test itself could have interfered with the completion of the test. These findings show that the type of test and the way it is presented to individuals with ASD can strongly affect the results, therefore much caution should be taken in choosing the design of a study focusing on WM in people with ASD.

Ozonoff et al. have found similar results in their studies on working memory in individuals with ASD. Their research showed no significant difference between individuals with ASD and those without ASD in tests designed to measure various aspects of working memory. This supports the notion that Autism does not inhibit WM. Results from experiments that have shown lower WM facilities in ASD individuals may be due to the human interaction nature of these experiments as individuals with ASD exhibit low social functioning skills. Experiments utilizing computer rather than human interaction remove this problem and may head more accurate findings.

Further research by Griffith et al. also indicates that WM may not be impaired in those with autism. There may be some executive function impairments in these individuals, but not in working memory and rather in social and language skills, which can effect education early in life. Other research conducted by Griffith et al. on young autistic individuals did not measure verbal working abilities, but nonetheless found no significant difference between the executive functions in autistic and non-autistic individuals. Though there has been much research that alludes to low WM abilities in those with autism, these recent data weaken the argument that autistic individuals have little WM facilities.

Physiological underpinnings

The physical underpinnings of the cause for differences in the memory of autistic people has been studied. Bachevalier suggests a major dysfunction in the brain of an autistic individual resides in the neural mechanisms of the structures in the medial temporal lobe (MTL) and perhaps, more specifically the amygdaloid complex. This may have implications in their ability to encode information because of the role the MTL and especially the hippocampal areas play in information processing DeLong reinforces this by suggesting autism to affect hippocampal function. Because the hippocampus is pivotal in memory encoding and modulating memory consolidation, any impairment can drastically affect an autistic individual's ability to process (i.e. multi-modal) and retain information. Sumiyoshi, Kawakubo, Suga, Sumiyoshi and Kasai have suggested that it is possible that the attenuated neural activities in parahippocampal regions might have something to do with the abnormal organization of information of individuals within the autistic spectrum. The left parahippocampal region (including the parahippocampal gyrus) has an implied role in sorting, relating, and sending information to the hippocampus and thus any abnormal activity or dysfunction within these regions might be accountable for the degree of effectiveness autistic individuals organize information. This is in keeping with other findings that suggest unconventional activity or lack of activity within the hippocampal regions which have a role in explaining some aspects of ASD.

Further evidence suggests that there is abnormal circuitry in what Brothers calls the neural basis for social intelligence, or holistically interpreting people's expressions and intentions. The interaction between the amygdala, the orbitofrontal cortex (OFC), and the superior temporal sulcus and gyrus (STG) enables one to process social information for personal interaction. In the case of autistic individuals there seems to be a limitation in these structures such that facial expressions, body language and speech expressions (ex. sarcasm) go consciously unnoticed, it is theorized that this could have something to do with the sagittal stratum, which is sometimes referred to as the "sarcasm center". However, Frith and Hill suggest that through 'remediation' or training that attends to specific traits in expressions, social understanding can be partially improved. The possibility of training in social understanding has given hope that there is a path that can be taken to reduce the social divide that is between children with autism and children who are neurotypical.

Memory strengths

Although many people who have been diagnosed with autism have some memory difficulties, there are some who excel with memory. Some individuals with HFA have been diagnosed with Savant syndrome. Those who are considered savants have abilities, usually related to memory, that are far above average, while also experiencing mental disabilities. Savants can also excel in a range of skills other than memory, including math, art, and music.

Further research

Few studies of implicit/non-declarative memory exist. Almost all of the M-LFA studies were conducted with children aged 3–18. Recently a specific call has been issued for the investigation of total loss of declarative memory in significantly low-functioning, nonverbal autistic people.

See also

• Monotropism
• Conditions comorbid to autism

References

1. Caronna EB, Milunsky JM, Tager-Flusberg H (2008). "Autism spectrum disorders: clinical and research frontiers". Arch Dis Child. 93 (6): 518–23. doi:10.1136/adc.2006.115337. PMID 18305076. S2CID 18761374.{{cite journal}}: CS1 maint: multiple names: authors list (link)
2. Habib, Abdullah; Harris, Leanne; Pollick, Frank; Melville, Craig (2019-04-30). "A meta-analysis of working memory in individuals with autism spectrum disorders". PLOS ONE. 14 (4): e0216198. Bibcode:2019PLoSO..1416198H. doi:10.1371/journal.pone.0216198. ISSN 1932-6203. PMC 6490940. PMID 31039192.
3. ^ Boucher J, Mayes A, Bigham S (May 2012). "Memory in autistic spectrum disorder" (PDF). Psychological Bulletin (Review). 138 (3): 458–96. doi:10.1037/a0026869. PMID 22409507.
4. Williams DL, Goldstein G, Minshew NJ (August 2006). "Neuropsychologic functioning in children with autism: further evidence for disordered complex information-processing". Child Neuropsychology (Research). 12 (4–5): 279–98. doi:10.1080/09297040600681190. PMC 1803025. PMID 16911973.
5. Ullman MT (2004). "Contributions of memory circuits to language: the declarative/procedural model". Cognition (Research). 92 (1–2): 231–70. doi:10.1016/j.cognition.2003.10.008. PMID 15037131. S2CID 14611894.
6. ^ Goh S, Peterson BS (March 2012). "Imaging evidence for disturbances in multiple learning and memory systems in persons with autism spectrum disorders". Developmental Medicine and Child Neurology (Review). 54 (3): 208–13. doi:10.1111/j.1469-8749.2011.04153.x. PMID 22269006. S2CID 35999361.
7. ^ Lind SE (September 2010). "Memory and the self in autism: A review and theoretical framework" (PDF). Autism (Review). 14 (5): 430–56. doi:10.1177/1362361309358700. PMID 20671017. S2CID 12452530.
8. Baddeley, A (2000). "The episodic buffer: A new component of working memory?". Trends in Cognitive Sciences. 4 (11): 417–423. doi:10.1016/s1364-6613(00)01538-2. PMID 11058819. S2CID 14333234.
9. ^ Boucher, Jill (2008). Memory in Autism. Cambridge, UK: Cambridge University Press. pp. 132–135.
10. Williams, D. L.; Goldstein, G.; Minshew, N. J. (2006). "Neuropsychologic functioning in children with autism: further evidence for disordered complex information-processing". Child Neuropsychology. 12 (4–5): 279–298. doi:10.1080/09297040600681190. PMC 1803025. PMID 16911973.
11. Elliott, R (2003). "Executive functions and their disorders". British Medical Bulletin. 65 (1): 49–59. doi:10.1093/bmb/65.1.49. PMID 12697616.
12. Doyle, Nancy (14 October 2020). "Neurodiversity at work: a biopsychosocial model and the impact on working adults". British Medical Bulletin. 135 (1): 108–125. doi:10.1093/bmb/ldaa021. PMC 7732033. PMID 32996572.
13. ^ Bennetto, Loisa; Pennington, Bruce F.; Rogers, Sally J. (August 1996). "Intact and impaired memory functions in autism". Child Development. 67 (4): 1816–1835. doi:10.1111/j.1467-8624.1996.tb01830.x. PMID 8890510.
14. Russell, James; Jarrold, Christopher; Henry, Lucy (1 September 1996). "Working Memory in Children with Autism and with Moderate Learning Difficulties". Journal of Child Psychology and Psychiatry. 37 (6): 673–686. doi:10.1111/j.1469-7610.1996.tb01459.x. PMID 8894948.
15. ^ Ozonoff, Sally; Strayer, David L. (1 January 2001). "Further Evidence of Intact Working Memory in Autism". Journal of Autism and Developmental Disorders. 31 (3): 257–263. doi:10.1023/A:1010794902139. PMID 11518480. S2CID 1272710.
16. Williams, Diane L.; Goldstein, Gerald; Minshew, Nancy J. (1 January 2006). "The profile of memory function in children with autism". Neuropsychology. 20 (1): 21–29. doi:10.1037/0894-4105.20.1.21. PMC 1847594. PMID 16460219.
17. Beversdorf, David; Smith, Brian W.; Crucian, Gregory P.; et al. (July 18, 2000). "Increased discrimination of 'false memories' in autism spectrum disorder". Proceedings of the National Academy of Sciences of the United States of America. 97 (15): 8734–7. Bibcode:2000PNAS...97.8734B. doi:10.1073/pnas.97.15.8734. PMC 27017. PMID 10900024.
18. Salmond, C. H.; Ashburner, J.; Connelly, A.; Friston, K. J.; Gadian, D. G.; Vargha-Khadem, F. (1 August 2005). "The role of the medial temporal lobe in autistic spectrum disorders". European Journal of Neuroscience. 22 (3): 764–772. doi:10.1111/j.1460-9568.2005.04217.x. PMID 16101758. S2CID 23813651.
19. Happé, Francesca (June 1999). "Autism: cognitive deficit or cognitive style?" (PDF). Trends in Cognitive Sciences. 3 (6): 216–222. doi:10.1016/s1364-6613(99)01318-2. PMID 10354574. S2CID 11125022.
20. Jolliffe, Therese; Baron-Cohen, Simon (1997). "Are People with Autism and Asperger Syndrome Faster Than Normal on the Embedded Figures Test?". Journal of Child Psychology and Psychiatry. 38 (5): 527–534. doi:10.1111/j.1469-7610.1997.tb01539.x. ISSN 1469-7610. PMID 9255696.
21. http://psycnet.apa.org/index.cfm?fa=search.displayRecord&id=A84B64CC-C257-DC9C-2FF5-E1D2CE68D435&resultID=20&page=1&dbTab=pi (broken link)
22. Wang, Y., Zhang, Y. B., Liu, L. L., Cui, J. F., Wang, J., Shum, D. H., ... & Chan, R. C. (2017). A meta-analysis of working memory impairments in autism spectrum disorders. Neuropsychology review, 27(1), 46-61. doi:10.1007/s11065-016-9336-y
23. Sumiyoshi, C; Kawakubo, Y; Suga, M; Sumiyoshi, T; Kasai, K (2011). "Impaired ability to organize information in individuals with autism spectrum disorders and their siblings". Neuroscience Research. 69 (3): 252–257. doi:10.1016/j.neures.2010.11.007. PMID 21129422. S2CID 41842427.
24. ^ Mottron, L; Morasse, K; Belleville, S (2001). "A study of memory functioning in individuals with autism". Journal of Clinical Psychology and Psychiatry. 42 (2): 253–260. doi:10.1017/S0021963001006722. PMID 11280421.
25. ^ Sumiyoshi, C; Kawakubo, Y; Suga, M; Sumiyoshi, T; Kasai, K (2011). "Impaired ability to organize information in individuals with autism spectrum disorders and their siblings". Neuroscience Research. 69 (3): 252–257. doi:10.1016/j.neures.2010.11.007. PMID 21129422. S2CID 41842427.
26. ^ Soulières, I; Mottron, L; Giguère, G; Larochelle, S (2011). "Category induction in autism: Slower, perhaps different, but certainly possible". The Quarterly Journal of Experimental Psychology. 64 (2): 311–327. doi:10.1080/17470218.2010.492994. PMID 20623440. S2CID 23978792.
27. ^ Vladusich, T; Olufemi, O; Kim, DS; Tager-Flusberg, H; Grossberg, S (October 2010). "Prototypical category learning in high-functioning autism". Autism Research. 3 (5): 226–236. doi:10.1002/aur.148. PMID 20717947. S2CID 8817736.
28. Kozcat, DL; Rogers, SJ; Pennington, BF; Ross, RG (2002). "Eye movement abnormality suggestive of a spatial working memory deficit is present in parents of autistic probands". Journal of Child Psychology and Psychiatry. 32 (6): 513–518. doi:10.1023/A:1021246712459. PMID 12553588. S2CID 45132588.
29. Happé, Francesca (1995). Autism: an introduction to psychological theory. Cambridge, Massachusetts: Harvard University Press. p. 36. ISBN 978-0-674-05312-0.
30. Morris, R; Rowe, A.; Fox, N.; Feigenbaum, J.D.; Miotto, E.C.; Howlin, P. (1 October 1999). "Spatial Working Memory in Asperger's Syndrome and in Patients with Focal Frontal and Temporal Lobe Lesions". Brain and Cognition. 41 (1): 9–26. doi:10.1006/brcg.1999.1093. PMID 10536083. S2CID 9466666.
31. Caron, M; Mottron, L; Rainville, C; Chouinard, S (1 January 2004). "Do high functioning persons with autism present superior spatial abilities?". Neuropsychologia. 42 (4): 467–481. doi:10.1016/j.neuropsychologia.2003.08.015. PMID 14728920. S2CID 14533710.
32. ^ Steele, Shelly D.; Minshew, Nancy J.; Luna, Beatriz; Sweeney, John A. (April 2007). "Spatial Working Memory Deficits in Autism". Journal of Autism and Developmental Disorders. 37 (4): 605–612. doi:10.1007/s10803-006-0202-2. PMID 16909311. S2CID 19882957.
33. ^ Mottron, Laurent; Belleville, Sylvie; Menard, Edith (1 July 1999). "Local Bias in Autistic Subjects as Evidenced by Graphic Tasks: Perceptual Hierarchization or Working Memory Deficit?". Journal of Child Psychology and Psychiatry. 40 (5): 743–755. doi:10.1111/1469-7610.00490. PMID 10433408.
34. Koshino, H.; Kana, R. K.; Keller, T. A.; Cherkassky, V. L.; Minshew, N. J.; Just, M. A. (8 May 2007). "fMRI Investigation of Working Memory for Faces in Autism: Visual Coding and Underconnectivity with Frontal Areas". Cerebral Cortex. 18 (2): 289–300. doi:10.1093/cercor/bhm054. PMC 4500154. PMID 17517680.
35. ^ Baltruschat, Lisa; Hasselhorn, Marcus; Tarbox, Jonathan; Dixon, Dennis R.; Najdowski, Adel C.; Mullins, Ryan D.; Gould, Evelyn R. (1 April 2011). "Further analysis of the effects of positive reinforcement on working memory in children with autism". Research in Autism Spectrum Disorders. 5 (2): 855–863. doi:10.1016/j.rasd.2010.09.015. S2CID 6868342.
36. ^ Williams, Diane L.; Goldstein, Gerald; Carpenter, Patricia A.; Minshew, Nancy J. (December 2005). "Verbal and Spatial Working Memory in Autism". Journal of Autism and Developmental Disorders. 35 (6): 747–756. doi:10.1007/s10803-005-0021-x. PMID 16267641. S2CID 36471857.
37. ^ Williams, David; Happé, Francesca; Jarrold, Christopher (1 January 2008). "Intact inner speech use in autism spectrum disorder: evidence from a short-term memory task" (PDF). Journal of Child Psychology and Psychiatry. 49 (1): 51–58. doi:10.1111/j.1469-7610.2007.01836.x. PMID 18181880.
38. ^ Whitehouse, Andrew J.O.; Maybery, Murray T.; Durkin, Kevin (26 April 2006). "Inner speech impairments in autism". Journal of Child Psychology and Psychiatry. 47 (8): 857–865. doi:10.1111/j.1469-7610.2006.01624.x. PMID 16899000.
39. ^ JOSEPH, R; STEELE, S; MEYER, E; TAGERFLUSBERG, H (1 January 2005). "Self-ordered pointing in children with autism: failure to use verbal mediation in the service of working memory?". Neuropsychologia. 43 (10): 1400–1411. doi:10.1016/j.neuropsychologia.2005.01.010. PMID 15989932. S2CID 10924334.
40. ^ Gabig, Cheryl. (October 2008). "Verbal working memory and story retelling in school-age children with autism". Language, Speech, and Hearing Services in Schools. 39 (4): 498–511. doi:10.1044/0161-1461(2008/07-0023). PMID 18820091.
41. KOSHINO, H; CARPENTER, P; MINSHEW, N; CHERKASSKY, V; KELLER, T; JUST, M (1 February 2005). "Functional connectivity in an fMRI working memory task in high-functioning autism". NeuroImage. 24 (3): 810–821. doi:10.1016/j.neuroimage.2004.09.028. PMID 15652316. S2CID 16077740.
42. Nakahachi, T; Iwase, M; Takeda, M (June 2006). "Discrepancy of performance among working memory-related tasks in autism spectrum disorders was caused by task characteristics, apart from working memory, which could interfere with task execution". Psychiatry and Clinical Neurosciences. 60 (3): 312–318. doi:10.1111/j.1440-1819.2006.01507.x. PMID 16732747.
43. ^ Griffith, Elizabeth; Bruce Pennington; Elizabeth Wehner; Sally Rogers (1999). "Executive Functions in Young Children with Autism". Child Development. 70 (4): 817–832. doi:10.1111/1467-8624.00059. PMID 10446722.
44. Robertson, K; Chamberlain, B; Kasari, C (April 2003). "General education teachers' relationships with included students with autism". Journal of Autism and Developmental Disorders. 33 (2): 123–30. doi:10.1023/a:1022979108096. PMID 12757351. S2CID 29072921.
45. Cartwright, Kelly B. (January 2012). "Insights From Cognitive Neuroscience: The Importance of Executive Function for Early Reading Development and Education". Early Education & Development. 23 (1): 24–36. doi:10.1080/10409289.2011.615025. S2CID 43891999.
46. Bachevalier, Jocelyne (1 June 1994). "Medial temporal lobe structures and autism: A review of clinical and experimental findings". Neuropsychologia. 32 (6): 627–648. doi:10.1016/0028-3932(94)90025-6. PMID 8084420. S2CID 24829915.
47. Dickerson, Bradford C; Eichenbaum, Howard (23 September 2009). "The Episodic Memory System: Neurocircuitry and Disorders". Neuropsychopharmacology. 35 (1): 86–104. doi:10.1038/npp.2009.126. PMC 2882963. PMID 19776728.
48. DeLong, GR (Spring 1992). "Autism, amnesia, hippocampus, and learning". Neuroscience and Biobehavioral Reviews. 16 (1): 63–70. doi:10.1016/S0149-7634(05)80052-1. PMID 1553107. S2CID 20144368.
49. Brothers, L.; Ring, B; Kling, A (21 December 1990). "Response of neurons in the macaque amygdala to complex social stimuli". Behavioural Brain Research. 41 (3): 199–213. doi:10.1016/0166-4328(90)90108-Q. PMID 2288672. S2CID 4023773.
50. Baron-Cohen, S; Ring, H.A.; Bullmore, E.T.; Wheelwright, S.; Ashwin, C.; Williams, S.C.R. (May 2000). "The amygdala theory of autism". Neuroscience & Biobehavioral Reviews. 24 (3): 355–364. doi:10.1016/S0149-7634(00)00011-7. PMID 10781695. S2CID 7455984.
51. Geggel, L. (2015, April 8). Why You Get the Joke: Brain Sarcasm Center Found. Live Science. https://www.livescience.com/50412-sarcasm-brain-sagittal-stratum.html
52. Hill, E. L.; Frith, U. (28 February 2003). "Understanding autism: insights from mind and brain". Philosophical Transactions of the Royal Society B. 358 (1430): 281–289. doi:10.1098/rstb.2002.1209. PMC 1693123. PMID 12639326.
53. White, S. W., Keonig, K., & Scahill, L. (2007). Social skills development in children with autism spectrum disorders: A review of the intervention research. Journal of autism and developmental disorders, 37(10), 1858–1868.
54. Treffert, Darold A. (2009). "The savant syndrome: an extraordinary condition. A synopsis: past, present, future". Philos Trans R Soc Lond B Biol Sci. 364 (1522): 1351–1357. doi:10.1098/rstb.2008.0326. PMC 2677584. PMID 19528017.

• Autism
• Memory