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Mueller JL, Weyers I, Friederici AD, Männel C. Individual differences in auditory perception predict learning of non-adjacent tone sequences in 3-year-olds. Front Hum Neurosci 2024; 18:1358380. [PMID: 38638804 PMCID: PMC11024384 DOI: 10.3389/fnhum.2024.1358380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/15/2024] [Indexed: 04/20/2024] Open
Abstract
Auditory processing of speech and non-speech stimuli oftentimes involves the analysis and acquisition of non-adjacent sound patterns. Previous studies using speech material have demonstrated (i) children's early emerging ability to extract non-adjacent dependencies (NADs) and (ii) a relation between basic auditory perception and this ability. Yet, it is currently unclear whether children show similar sensitivities and similar perceptual influences for NADs in the non-linguistic domain. We conducted an event-related potential study with 3-year-old children using a sine-tone-based oddball task, which simultaneously tested for NAD learning and auditory perception by means of varying sound intensity. Standard stimuli were A × B sine-tone sequences, in which specific A elements predicted specific B elements after variable × elements. NAD deviants violated the dependency between A and B and intensity deviants were reduced in amplitude. Both elicited similar frontally distributed positivities, suggesting successful deviant detection. Crucially, there was a predictive relationship between the amplitude of the sound intensity discrimination effect and the amplitude of the NAD learning effect. These results are taken as evidence that NAD learning in the non-linguistic domain is functional in 3-year-olds and that basic auditory processes are related to the learning of higher-order auditory regularities also outside the linguistic domain.
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Affiliation(s)
- Jutta L. Mueller
- Department of Linguistics, University of Vienna, Vienna, Austria
- Vienna Cognitive Science Research HUB, Vienna, Austria
| | - Ivonne Weyers
- Department of Linguistics, University of Vienna, Vienna, Austria
| | - Angela D. Friederici
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Claudia Männel
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Department of Audiology and Phoniatrics, Charité – Universitätsmedizin Berlin, Berlin, Germany
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2
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Bettoni R, Riva V, Molteni M, Macchi Cassia V, Bulf H, Cantiani C. Rules generalization in children with dyslexia. RESEARCH IN DEVELOPMENTAL DISABILITIES 2024; 146:104673. [PMID: 38280272 DOI: 10.1016/j.ridd.2024.104673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 12/29/2023] [Accepted: 01/08/2024] [Indexed: 01/29/2024]
Abstract
BACKGROUND Rule learning (RL) is the ability to extract and generalize higher-order repetition-based structures. Children with Developmental Dyslexia (DD) often report difficulties in learning complex regularities in sequential stimuli, which might be due to the complexity of the rule to be learned. Learning high-order repetition-based rules represents a building block for the development of language skills. AIMS This study investigates the ability to extract and generalize simple, repetition-based visual rules (e.g., ABA) in 8-11-year-old children without (TD) and with a diagnosis of Development Dyslexia (DD) and its relationship with language and reading skills. METHOD Using a forced-choice paradigm, children were first exposed to a visual sequence containing a repetition-based rule (e.g., ABA) and were then asked to recognize familiar and novel rules generated by new visual elements. Standardized language and reading tests were also administered to both groups. RESULTS The accuracy in recognizing rules was above chance for both groups, even though DD children were less accurate than TD children, suggesting a less efficient RL mechanism in the DD group. Moreover, visual RL was positively correlated with both language and reading skills. CONCLUSION These results further confirm the crucial role of RL in the acquisition of linguistic skills and mastering reading abilities.
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Affiliation(s)
- Roberta Bettoni
- Department of Psychology, University of Milano-Bicocca, Milan, Italy.
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | - Massimo Molteni
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
| | | | - Hermann Bulf
- Department of Psychology, University of Milano-Bicocca, Milan, Italy
| | - Chiara Cantiani
- Child Psychopathology Unit, Scientific Institute, IRCCS E. Medea, Bosisio Parini, Lecco, Italy
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Ozernov-Palchik O, Qi Z, Beach SD, Gabrieli JDE. Intact procedural memory and impaired auditory statistical learning in adults with dyslexia. Neuropsychologia 2023; 188:108638. [PMID: 37516235 PMCID: PMC10805067 DOI: 10.1016/j.neuropsychologia.2023.108638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 05/08/2023] [Accepted: 07/03/2023] [Indexed: 07/31/2023]
Abstract
Developmental dyslexia is a reading disorder that is associated with atypical brain function. One neuropsychological theory posits that dyslexia reflects a deficit in the procedural memory system, which supports implicit learning, or the acquisition of knowledge without conscious awareness or intention. This study investigated various forms of procedural learning in adults with dyslexia and typically-reading adults. Adults with dyslexia exhibited typical skill learning on mirror tracing and rotary pursuit tasks that have been well-established as reflecting purely procedural memory and dependent on basal ganglia and cerebellar structures. They also exhibited typical statistical learning for visual material, but impaired statistical learning for auditory material. Auditory statistical learning proficiency correlated positively with single-word reading performance across all participants and within the group with dyslexia, linking a major difficulty in dyslexia with impaired auditory statistical learning. These findings dissociate multiple forms of procedural memory that are intact in dyslexia from a specific impairment in auditory statistical learning that is associated with reading difficulty.
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Affiliation(s)
- Ola Ozernov-Palchik
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Zhenghan Qi
- Department of Communication Sciences and Disorders, Department of Psychology, Northeastern University, Boston, MA, USA
| | - Sara D Beach
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - John D E Gabrieli
- McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA
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Ben-Zion D, Gabitov E, Bitan T, Prior A. Impaired extraction and consolidation of morphological regularities in developmental dyslexia: A domain general deficit? Neuropsychologia 2023; 188:108652. [PMID: 37527734 DOI: 10.1016/j.neuropsychologia.2023.108652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/11/2023] [Accepted: 07/24/2023] [Indexed: 08/03/2023]
Abstract
The current study examined whether adults with Developmental Dyslexia are impaired in learning linguistic regularities in a novel language, and whether this may be explained by a domain general deficit in the effect of sleep on consolidation. We compared online learning and offline consolidation of morphological regularities in individuals with Developmental Dyslexia (N = 40) and typical readers (N = 38). Participants learned to apply plural inflections to novel words based on morpho-phonological rules embedded in the input and learned to execute a finger motor sequence task. To test the effects of time and sleep on consolidation, participants were assigned into one of two sleep-schedule groups, trained in the evening or in the morning and tested 12 and 24 h later. Unlike typical readers, Dyslexic readers did not extract the morpho-phonological regularities during training and as a group they did not show offline gains in inflecting trained items 24 h after training, suggesting that the deficit in extraction of regularities during training may be related to the deficit in consolidation. The offline gains in dyslexic readers, were correlated with their prior phonological abilities, and were less affected by sleep than those of typical readers. Although no deficit was found in the consolidation of the motor task, dyslexic readers were again less successful in generating an abstract representation of the motor sequence, reflected in a difficulty to generalize the motor sequence knowledge acquired using one hand to the untrained hand. The results suggest that individuals with Developmental Dyslexia have a domain general deficit in extracting statistical regularities from an input. Within the language domain this deficit is reflected in reduced benefits of consolidation, particularly during sleep, perhaps due to reduced prior phonological abilities, which may impede the individual's ability to extract the linguistic regularities during and after training and thus constrain the consolidation process.
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Affiliation(s)
- Dafna Ben-Zion
- Department of Learning Disabilities, University of Haifa, Haifa, Israel; Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa, Israel; Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel.
| | - Ella Gabitov
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, H3A 2B4, Canada.
| | - Tali Bitan
- Institute of Information Processing and Decision Making, University of Haifa, Haifa, Israel; The Integrated Brain and Behavior Research Center (IBBRC), University of Haifa, Haifa, Israel; Department of Psychology, University of Haifa, Haifa, Israel; Department of Speech Language Pathology, University of Toronto, Toronto, ON, Canada.
| | - Anat Prior
- Department of Learning Disabilities, University of Haifa, Haifa, Israel; Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa, Israel.
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Kligler N, Yu C, Gabay Y. Reduced Implicit but not Explicit Knowledge of Cross-Situational Statistical Learning in Developmental Dyslexia. Cogn Sci 2023; 47:e13325. [PMID: 37656831 DOI: 10.1111/cogs.13325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 09/03/2023]
Abstract
Although statistical learning (SL) has been studied extensively in developmental dyslexia (DD), less attention has been paid to other fundamental challenges in language acquisition, such as cross-situational word learning. Such investigation is important for determining whether and how SL processes are affected in DD at the word level. In this study, typically developed (TD) adults and young adults with DD were exposed to a set of trials that contained multiple spoken words and multiple pictures of individual objects, with no information about word-referent correspondences provided within a trial. Nonetheless, cross-trial statistical relations could be exploited to learn word-referent mappings. The degree of within-trial reference uncertainty and the novelty of to-be-learned objects (novel or familiar) were varied under different learning conditions. The results show that across all conditions, young adults with DD were significantly impaired in their ability to exploit cross-trial regularities in co-occurring visual-auditory streams to discover word-referent mappings. Observed impairments were most pronounced when within-trial reference uncertainty was the highest. Subjective measures of knowledge awareness revealed greater development of implicit but not explicit knowledge in the TD group than in the DD group. Together, these findings suggest that the SL deficit in DD affects fundamental language learning challenges at the word level and points to greater reliance on explicit processes due to impaired implicit associative learning among individuals with DD. Such a deficit is likely to influence spoken language acquisition, and in turn affect literacy skills, in people with DD.
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Affiliation(s)
- Nitzan Kligler
- Department of Special Education, University of Haifa
- Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa
| | - Chen Yu
- Department of Psychology, The University of Texas at Austin
| | - Yafit Gabay
- Department of Special Education, University of Haifa
- Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa
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Daikoku T, Jentschke S, Tsogli V, Bergström K, Lachmann T, Ahissar M, Koelsch S. Neural correlates of statistical learning in developmental dyslexia: An electroencephalography study. Biol Psychol 2023; 181:108592. [PMID: 37268263 DOI: 10.1016/j.biopsycho.2023.108592] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/19/2023] [Accepted: 05/22/2023] [Indexed: 06/04/2023]
Abstract
The human brain extracts statistical regularities from the surrounding environment in a process called statistical learning. Behavioural evidence suggests that developmental dyslexia affects statistical learning. However, surprisingly few studies have assessed how developmental dyslexia affects the neural processing underlying this type of learning. We used electroencephalography to explore the neural correlates of an important aspect of statistical learning - sensitivity to transitional probabilities - in individuals with developmental dyslexia. Adults diagnosed with developmental dyslexia (n = 17) and controls (n = 19) were exposed to a continuous stream of sound triplets. Every so often, a triplet ending had a low transitional probability given the triplet's first two sounds ("statistical deviants"). Furthermore, every so often a triplet ending was presented from a deviant location ("acoustic deviants"). We examined mismatch negativity elicited by statistical deviants (sMMN), and MMN elicited by location deviants (i.e., acoustic changes). Acoustic deviants elicited a MMN which was larger in the control group than in the developmental dyslexia group. Statistical deviants elicited a small, yet significant, sMMN in the control group, but not in the developmental dyslexia group. However, the difference between the groups was not significant. Our findings indicate that the neural mechanisms underlying pre-attentive acoustic change detection and implicit statistical auditory learning are both affected in developmental dyslexia.
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Affiliation(s)
- Tatsuya Daikoku
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan; Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima city, Hiroshima, Japan.
| | | | - Vera Tsogli
- Department for Biological and Medical Psychology, University of Bergen, Bergen, Norway
| | - Kirstin Bergström
- Center for Cognitive Science, University of Kaiserslautern-Landau, Kaiserslautern, Germany
| | - Thomas Lachmann
- Center for Cognitive Science, University of Kaiserslautern-Landau, Kaiserslautern, Germany; Centro de Investigación Nebrija en Cognición, Universidad Nebrija, Madrid, Spain
| | - Merav Ahissar
- Psychology Department, Hebrew University, Jerusalem, Israel
| | - Stefan Koelsch
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Department for Biological and Medical Psychology, University of Bergen, Bergen, Norway
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7
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Lukács Á, Dobó D, Szőllősi Á, Németh K, Lukics KS. Reading fluency and statistical learning across modalities and domains: Online and offline measures. PLoS One 2023; 18:e0281788. [PMID: 36952465 PMCID: PMC10035921 DOI: 10.1371/journal.pone.0281788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/01/2023] [Indexed: 03/25/2023] Open
Abstract
The vulnerability of statistical learning has been demonstrated in reading difficulties in both the visual and acoustic modalities. We examined segmentation abilities of Hungarian speaking adolescents with different levels of reading fluency in the acoustic verbal and visual nonverbal domains. We applied online target detection tasks, where the extent of learning is reflected in differences between reaction times to predictable versus unpredictable targets. Explicit judgments of well-formedness were also elicited in an offline two-alternative forced choice (2AFC) task. Learning was evident in both the acoustic verbal and visual nonverbal tasks, both in online and offline measures, but learning effects were larger both in online and offline tasks in the verbal acoustic condition. We haven’t found evidence for a significant relationship between statistical learning and reading fluency in adolescents in either modality. Together with earlier findings, these results suggest that the relationship between reading and statistical learning is dependent on the domain, modality and nature of the statistical learning task, on the reading task, on the age of participants, and on the specific language. The online target detection task is a promising tool which can be adapted to a wider set of tasks to further explore the contribution of statistical learning to reading acquisition in participants from different populations.
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Affiliation(s)
- Ágnes Lukács
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Dorottya Dobó
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Ágnes Szőllősi
- Institute of Cognitive Neuroscience and Psychology, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
- Centre for Cognitive Medicine, University of Szeged, Szeged, Hungary
| | - Kornél Németh
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
| | - Krisztina Sára Lukics
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
- * E-mail:
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8
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Can adults with developmental dyslexia apply statistical knowledge to a new context? Cogn Process 2023; 24:129-145. [PMID: 36344856 DOI: 10.1007/s10339-022-01106-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/18/2022] [Indexed: 11/09/2022]
Abstract
We investigated transfer of artificial grammar learning in adults with and without dyslexia in 3 experiments. In Experiment 1, participants implicitly learned an artificial grammar system and were tested on new items that included the same symbols. In Experiment 2, participants were given practice with letter strings and then tested on strings created with a different letter set. In Experiment 3, participants were given practice with shapes and then tested on strings created with different shapes. Results show that in Experiment 1, both groups demonstrated utilization of pre-trained instances in the subsequent grammaticality judgement task, while in Experiments 2 (orthographic) and 3 (nonorthographic), only typically developed participants demonstrated application of knowledge from training to test. A post hoc analysis comparing between the experiments suggests that being trained and tested on an orthographic task leads to better performance than a nonorthographic task among typically developed adults but not among adults with dyslexia. Taken together, it appears that following extensive training, individuals with dyslexia are able to form stable representations from sequential stimuli and use them in a subsequent task that utilizes strings of similar symbols. However, the manipulation of the symbols challenges this ability.
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Failure to consolidate statistical learning in developmental dyslexia. Psychon Bull Rev 2023; 30:160-173. [PMID: 36221045 DOI: 10.3758/s13423-022-02169-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/07/2022] [Indexed: 11/08/2022]
Abstract
Statistical learning (SL), the ability to pick up patterns in sensory input, serves as one of the building blocks of language acquisition. Although SL has been studied extensively in developmental dyslexia (DD), much less is known about the way SL evolves over time. The handful of studies examining this question were all limited to the acquisition of motor sequential knowledge or highly learned segmented linguistic units. Here we examined memory consolidation of statistical regularities in adults with DD and typically developed (TD) readers by using auditory SL requiring the segmentation of units from continuous input, which represents one of the earliest learning challenges in language acquisition. DD and TD groups were exposed to tones in a probabilistically determined sequential structure varying in difficulty and subsequently tested for recognition of novel short sequences that adhered to this statistical pattern in immediate and delayed-recall sessions separated by a night of sleep. SL performance of the DD group at the easy and hard difficulty levels was poorer than that of the TD group in the immediate-recall session. Importantly, DD participants showed a significant overnight deterioration in SL performance at the medium difficulty level compared to TD, who instead showed overnight stabilization of the learned information. These findings imply that SL difficulties in DD may arise not only from impaired initial learning but also due to a failure to consolidate statistically structured information into long-term memory. We hypothesize that these deficits disrupt the typical course of language acquisition in those with DD.
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Hedenius M, Persson J. Neural correlates of sequence learning in children with developmental dyslexia. Hum Brain Mapp 2022; 43:3559-3576. [PMID: 35434881 PMCID: PMC9248315 DOI: 10.1002/hbm.25868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 03/31/2022] [Accepted: 03/31/2022] [Indexed: 12/02/2022] Open
Abstract
Developmental Dyslexia (DD) is a condition in which reading accuracy and/or fluency falls substantially below what is expected based on the individuals age, general level of cognitive ability, and educational opportunities. The procedural circuit deficit hypothesis (PDH) proposes that DD may be largely explained in terms of alterations of the cortico‐basal ganglia procedural memory system (in particular of the striatum) whereas the (hippocampus‐dependent) declarative memory system is intact, and may serve a compensatory role in the condition. The present study was designed to test this hypothesis. Using Magnetic Resonance Imaging, we examined the functional and structural brain correlates of sequence‐specific procedural learning (SL) on the serial reaction time task, in 17 children with DD and 18 typically developing (TD) children. The study was performed over 2 days with a 24‐h interval between sessions. In line with the PDH, the DD group showed less activation of the striatum during the processing of sequential statistical regularities. These alterations predicted the amount of SL at day 2, which in turn explained variance in children's reading fluency. Additionally, reduced hippocampal activation predicted larger SL gains between day 1 and day 2 in the TD group, but not in the DD group. At the structural level, caudate nucleus volume predicted the amount of acquired SL at day 2 in the TD group, but not in the DD group. The findings encourage further research into factors that promote learning in children with DD, including through compensatory mechanisms.
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Affiliation(s)
- Martina Hedenius
- Department of Public Health and Caring Sciences, Speech-Language Pathology, Uppsala University, Uppsala, Sweden.,Center of Neurodevelopmental Disorders (KIND), Centre for Psychiatry Research, Department of Women's and Children's Health, Karolinska Institutet and Child and Adolescent Psychiatry, Stockholm Health Care Services, Region Stockholml, Stockholm County Council, BUP-FOU Centrum, Gävlegatan, Stockholm, Sweden
| | - Jonas Persson
- Aging Research Center (ARC), Karolinska Institutet and Stockholm University, Solna, Sweden.,Center for Lifespan Developmental Research (LEADER), School of Law, Psychology, and Social Work, Örebro University, Örebro, Sweden
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Polyanskaya L, Manrique HM, Samuel AG, Marín A, García‐Palacios A, Ordin M. Intermodality differences in statistical learning: phylogenetic and ontogenetic influences. Ann N Y Acad Sci 2022; 1511:191-209. [DOI: 10.1111/nyas.14749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 12/07/2021] [Accepted: 12/19/2021] [Indexed: 12/01/2022]
Affiliation(s)
- Leona Polyanskaya
- Departamento de Psicología y Sociología Universidad de Zaragoza Teruel Spain
| | - Héctor M. Manrique
- Departamento de Psicología y Sociología Universidad de Zaragoza Teruel Spain
| | - Arthur G. Samuel
- Department of Psychology Stony Brook University New York City New York
- Basque Centre on Cognition Brain and Language San Sebastian Spain
| | | | - Azucena García‐Palacios
- Department of Basic Psychology, Clinical and Psychobiology Jaume I University Castellon Spain
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn) Instituto Carlos III Madrid Spain
| | - Mikhail Ordin
- Universität Konstanz Allgemeine Sprachwissenschaft Konstanz Germany
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Singh S, Conway CM. Unraveling the Interconnections Between Statistical Learning and Dyslexia: A Review of Recent Empirical Studies. Front Hum Neurosci 2021; 15:734179. [PMID: 34744661 PMCID: PMC8569446 DOI: 10.3389/fnhum.2021.734179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 09/08/2021] [Indexed: 11/13/2022] Open
Abstract
One important aspect of human cognition involves the learning of structured information encountered in our environment, a phenomenon known as statistical learning. A growing body of research suggests that learning to read print is partially guided by learning the statistical contingencies existing between the letters within a word, and also between the letters and sounds to which the letters refer. Research also suggests that impairments to statistical learning ability may at least partially explain the difficulties experienced by individuals diagnosed with dyslexia. However, the findings regarding impaired learning are not consistent, perhaps partly due to the varied use of methodologies across studies - such as differences in the learning paradigms, stimuli used, and the way that learning is assessed - as well as differences in participant samples such as age and extent of the learning disorder. In this review, we attempt to examine the purported link between statistical learning and dyslexia by assessing a set of the most recent and relevant studies in both adults and children. Based on this review, we conclude that although there is some evidence for a statistical learning impairment in adults with dyslexia, the evidence for an impairment in children is much weaker. We discuss several suggestive trends that emerge from our examination of the research, such as issues related to task heterogeneity, possible age effects, the role of publication bias, and other suggestions for future research such as the use of neural measures and a need to better understand how statistical learning changes across typical development. We conclude that no current theoretical framework of dyslexia fully captures the extant research findings on statistical learning.
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Affiliation(s)
- Sonia Singh
- Callier Center for Communication Disorders, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX, United States
| | - Christopher M. Conway
- Brain, Learning, and Language Lab, Center for Childhood Deafness, Language, and Learning, Boys Town National Research Hospital, Omaha, NE, United States
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Dobó D, Lukics KS, Szőllősi Á, Németh K, Lukács Á. Statistical Learning and the Effect of Starting Small in Developmental Dyslexia. JOURNAL OF SPEECH, LANGUAGE, AND HEARING RESEARCH : JSLHR 2021; 64:1621-1635. [PMID: 33844586 DOI: 10.1044/2020_jslhr-20-00145] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Purpose Impairments in statistical learning abilities of individuals with developmental dyslexia (DD) have been demonstrated in word segmentation and in visual artificial grammar learning (AGL) tasks, but so far, little attention has been devoted to the AGL abilities of this population in the acoustic verbal domain. This study aimed to test whether adolescents with dyslexia have difficulties in extracting abstract patterns from auditory sequences of nonsense syllables based on a finite state grammar relative to typically developing (TD) peers. We also tested whether incremental presentation of stimuli of different lengths (starting small) has a facilitating effect on learning complex structures in dyslexia (and in TD) as opposed to presenting strings in random order. Method Thirty-one adolescents with DD and 31 age-matched control participants completed an AGL task. Participants passively listened to acoustic sequences of nonsense syllables generated by an artificial grammar in the training phase. In the test phase, they were presented with pairs of novel grammatical and nongrammatical sequences and were required to decide which member of a sequence pair was more similar to the material heard during training. Results Performance levels and the proportion of learners were smaller in participants with DD than in the control group. While the starting small effect was nominally present both in performance levels and in the number of learners in participants with DD, but not in the group with TD, the presentation of strings in incremental order did not statistically improve learning performance in either group. Conclusion Our results suggest that (a) statistical learning of abstract sequences in the acoustic domain is less efficient in people with dyslexia than in TD controls and (b) while incremental presentation of stimuli of different length did not improve learning in our study, the observed pattern of results suggests that the effects of different training designs should be explored further in developmental disorders.
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Affiliation(s)
- Dorottya Dobó
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Krisztina Sára Lukics
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Ágnes Szőllősi
- Institute of Cognitive Neuroscience and Psychology, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Kornél Németh
- Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
| | - Ágnes Lukács
- MTA-BME Momentum Language Acquisition Research Group, Eötvös Loránd Research Network (ELKH), Budapest, Hungary
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Bogaerts L, Siegelman N, Frost R. Statistical Learning and Language Impairments: Toward More Precise Theoretical Accounts. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2020; 16:319-337. [PMID: 33136519 PMCID: PMC7961654 DOI: 10.1177/1745691620953082] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. In the current article, we provide a critical review of studies testing SL abilities in participants with and without developmental dyslexia and specific language impairment and discuss the directions that this field of research has taken so far. We identify substantial vagueness in the demarcation lines between different theoretical constructs (e.g., “statistical learning,” “implicit learning,” and “procedural learning”) as well as in the mappings between experimental tasks and these theoretical constructs. Moreover, we argue that current studies are not designed to contrast different theoretical approaches but rather test singular confirmatory predictions without including control tasks showing normal performance. We end by providing concrete suggestions for how to advance research on SL deficits in language impairments.
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Affiliation(s)
- Louisa Bogaerts
- Department of Psychology, The Hebrew University.,Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam
| | | | - Ram Frost
- Department of Psychology, The Hebrew University.,Haskins Laboratories, New Haven, Connecticut.,Basque Center on Cognition, Brain, and Language (BCBL), San Sebastian, Spain
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Siegelman N, Rueckl JG, Steacy LM, Frost SJ, van den Bunt M, Zevin JD, Seidenberg MS, Pugh KR, Compton DL, Morris RD. Individual differences in learning the regularities between orthography, phonology and semantics predict early reading skills. JOURNAL OF MEMORY AND LANGUAGE 2020; 114:104145. [PMID: 32694882 PMCID: PMC7373223 DOI: 10.1016/j.jml.2020.104145] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2023]
Abstract
Statistical views of literacy development maintain that proficient reading requires the assimilation of myriad statistical regularities present in the writing system. Indeed, previous studies have tied statistical learning (SL) abilities to reading skills, establishing the existence of a link between the two. However, some issues are currently left unanswered, including questions regarding the underlying bases for these associations as well as the types of statistical regularities actually assimilated by developing readers. Here we present an alternative approach to study the role of SL in literacy development, focusing on individual differences among beginning readers. Instead of using an artificial task to estimate SL abilities, our approach identifies individual differences in children's reliance on statistical regularities as reflected by actual reading behavior. We specifically focus on individuals' reliance on regularities in the mapping between print and speech versus associations between print and meaning in a word naming task. We present data from 399 children, showing that those whose oral naming performance is impacted more by print-speech regularities and less by associations between print and meaning have better reading skills. These findings suggest that a key route by which SL mechanisms impact developing reading abilities is via their role in the assimilation of sub-lexical regularities between printed and spoken language -and more generally, in detecting regularities that are more reliable than others. We discuss the implications of our findings to both SL and reading theories.
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Affiliation(s)
| | | | | | | | | | | | | | - Kenneth R. Pugh
- Haskins Laboratories
- University of Connecticut
- Yale University
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16
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Jiménez L, Mendes Oliveira H, Soares AP. Surface features can deeply affect artificial grammar learning. Conscious Cogn 2020; 80:102919. [DOI: 10.1016/j.concog.2020.102919] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2019] [Revised: 01/14/2020] [Accepted: 03/12/2020] [Indexed: 10/24/2022]
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17
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Rasamimanana M, Barbaroux M, Colé P, Besson M. Semantic compensation and novel word learning in university students with dyslexia. Neuropsychologia 2020; 139:107358. [DOI: 10.1016/j.neuropsychologia.2020.107358] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Revised: 12/12/2019] [Accepted: 01/20/2020] [Indexed: 01/11/2023]
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