To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
Linguistic illusions are cases where we systematically misunderstand, misinterpret, or fail to notice anomalies in the linguistic input, despite our competencies. Revealing fresh insights into how the mind represents and processes language, this book provides a comprehensive overview of research on this phenomenon, with a focus on agreement attraction, the most widely studied linguistic illusion. Integrating experimental, computational, and formal methods, it shows how the systematic study of linguistic illusions offers new insights into the cognitive architecture of language and language processing mechanisms. It synthesizes past findings and proposals, offers new experimental and computational data, and identifies directions for future research, helping readers navigate the rapidly growing body of research and conflicting findings. With clear explanations and cross-disciplinary appeal, it is an invaluable guide for both seasoned researchers, and newcomers seeking to deepen their understanding of language processing, making it a vital resource for advancing the field.
Chapter 4 introduces the leading accounts of attraction. Representational-based accounts claim that attraction arises from errors in the encoding of linguistic structures in working memory, where misrepresented features like plural number are mistakenly bound to the wrong item in memory. Feature percolation and spreading activation drive feature misrepresentation, both contributing to attraction effects. In contrast, retrieval-based accounts claim that while the sentence’s structure is faithfully encoded, attraction occurs during memory retrieval, where nontarget items that partially match retrieval cues (such as plural number) are erroneously selected for dependency formation. The chapter addresses the strengths and limitations of each approach, discussing the model predictions and the empirical evidence used to arbitrate between the accounts. Finally, it suggests that representational and retrieval-based accounts are not mutually exclusive; a comprehensive understanding of sentence processing must consider the interactions between encoding and retrieval mechanisms. This theoretical review sets the stage for evaluating empirical findings discussed in subsequent chapters.
Cognition is increasingly being recognized as an important aspect of psychotic disorders and a key contributor to functional outcome. In the past, comparative studies have been performed in schizophrenia and schizo-affective disorder with regard to cognitive performance, but the results have been mixed and the cognitive measures used have not always assessed the cognitive deficits found to be specific to psychosis. A set of optimized cognitive paradigms designed by the Cognitive Neuroscience Test Reliability and Clinical Applications for Schizophrenia (CNTRACS) Consortium to assess deficits specific to schizophrenia was used to measure cognition in a large group of individuals with schizophrenia and schizo-affective disorder.
Method
A total of 519 participants (188 with schizophrenia, 63 with schizo-affective disorder and 268 controls) were administered three cognitive paradigms assessing the domains of goal maintenance in working memory, relational encoding and retrieval in episodic memory and visual integration.
Results
Across the three domains, the results showed no major quantitative differences between patient groups, with both groups uniformly performing worse than healthy subjects.
Conclusions
The findings of this study suggests that, with regard to deficits in cognition, considered a major aspect of psychotic disorder, schizophrenia and schizo-affective disorder do not demonstrate major significant distinctions. These results have important implications for our understanding of the nosological structure of major psychopathology, providing evidence consistent with the hypothesis that there is no natural distinction between cognitive functioning in schizophrenia and schizo-affective disorder.
Catechol-O-methyltransferase (COMT) Val158Met has been associated with activity of the mesial temporal lobe during episodic memory and it may weakly increase risk for schizophrenia. However, how this variant affects parahippocampal and hippocampal physiology when dopamine transmission is perturbed is unclear. The aim of the present study was to compare the effects of the COMT Val158Met genotype on parahippocampal and hippocampal physiology during encoding of recognition memory in patients with schizophrenia and in healthy subjects.
Method
Using blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI), we studied 28 patients with schizophrenia and 33 healthy subjects matched for a series of sociodemographic and genetic variables while they performed a recognition memory task.
Results
We found that healthy subjects had greater parahippocampal and hippocampal activity during memory encoding compared to patients with schizophrenia. We also found different activity of the parahippocampal region between healthy subjects and patients with schizophrenia as a function of the COMT genotype, in that the predicted COMT Met allele dose effect had an opposite direction in controls and patients.
Conclusions
Our results demonstrate a COMT Val158Met genotype by diagnosis interaction in parahippocampal activity during memory encoding and may suggest that modulation of dopamine signaling interacts with other disease-related processes in determining the phenotype of parahippocampal physiology in schizophrenia.
With the establishment of sleep-dependent memory processing, an important and necessary step is to begin understanding how sleep loss in later life may contribute to the known deterioration of memory function, and how these factors may interact. The chapter outlines the key components: memory systems, memory stages, and sleep stages. The chapter describes the critical requirement of adequate sleep before learning for the initial formation or "encoding" of memory. A number of neuroimaging studies have shown decreased MTL involvement during memory formation in older adults, compared to young adults. Work across the neurosciences will be necessary to test this hypothesis at both a neural and behavioral level. The chapter addresses the most important horizon quest: translating basic findings into clinical action, and understanding how disease and pathology stemming from aging can be understood on the basis of sleep-dependent memory failure.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.