Multiple Memory Systems: Evidence from Stroke

1987 ◽  
Vol 64 (2) ◽  
pp. 571-577 ◽  
Author(s):  
Laura Cushman ◽  
Bruce Caplan

In this report, we describe the “fractionation of memory systems” in a 62-yr.-old woman following a left anterior stroke. Despite the presence of a significant, persistent declarative memory (verbal learning) deficit, this patient exhibited relatively intact procedural learning. The latter was manifested over a 4-day period by improved performance on a maze task executed under “mirror-tracing” conditions. By the final set of trials, the patient's performance approximated that of a normal control subject with respect to speed, although not errors. The selective preservation of particular learning abilities in brain-damaged patients has implications for rehabilitative interventions.

Author(s):  
Jake Kurczek ◽  
Natalie Vanderveen ◽  
Melissa C. Duff

There is a long history of research linking the various forms of memory to different aspects of language. Clinically, we see this memory-language connection in the prevalence of language and communication deficits in populations that have concomitant impairments in memory and learning. In this article, we provide an overview of how the demands of language use and processing are supported by multiple memory systems in the brain, including working memory, declarative memory and nondeclarative memory, and how disruptions in different forms of memory may affect language. While not an exhaustive review of the literature, special attention is paid to populations who speech-language pathologists (SLPs) routinely serve. The goal of this review is to provide a resource for clinicians working with clients with disorders in memory and learning in helping to understand and anticipate the range of disruptions in language and communication that can arise as a consequence of memory impairment. We also hope this is a catalyst for more research on the contribution of multiple memory systems to language and communication.


Author(s):  
Richard J. Beninger

Life’s Rewards: Linking Dopamine, Incentive Learning, Schizophrenia, and the Mind explains how increased brain dopamine produces reward-related incentive learning, the acquisition by neutral stimuli of increased ability to elicit approach and other responses. Dopamine decreases may produce inverse incentive learning, the loss by stimuli of the ability to elicit approach and other responses. Incentive learning is gradually lost when dopamine receptors are blocked. The brain has multiple memory systems defined as “declarative” and “non-declarative;” incentive learning produces one form of non-declarative memory. People with schizophrenia have hyperdopaminergia, possibly producing excessive incentive learning. Delusions may rely on declarative memory to interpret the world as it appears with excessive incentive learning. Parkinson’s disease, associated with dopamine loss, may involve a loss of incentive learning and increased inverse incentive learning. Drugs of abuse activate dopaminergic neurotransmission, leading to incentive learning about drug-associated stimuli. After withdrawal symptoms have been alleviated by detoxification treatment, drug-associated conditioned incentive stimuli will retain their ability to elicit responses until they are repeatedly experienced in the absence of primary drug rewards. Incentive learning may involve the action of dopamine at dendritic spines of striatal medium spiny neurons that have recently had glutamatergic input from assemblies of cortical neurons activated by environmental and proprioceptive stimuli. Glutamate initiates a wave of phosphorylation normally followed by a wave of phosphatase activity. If dopaminergic neurons fire, stimulation of D1 receptors prolongs the wave of phosphorylation, allowing glutamate synaptic strengthening. Activity in dopaminergic neurons in humans appears to affect mental experience.


1994 ◽  
Vol 79 (1) ◽  
pp. 355-370 ◽  
Author(s):  
Jim Grigsby ◽  
George H. Hartlaub

This manuscript presents a neuropsychological model of the development and stability of human character. We define character as those things which people do routinely, automatically, and unconsciously—those which make people know-able and predictable. According to the model, the substrate of character is comprised of one's phenotypically based temperamental predispositions. This substrate is modified as a result of experience. Research has indicated the existence of multiple, relatively independent memory systems, and we are particularly interested in the distinction that has been made between declarative and procedural learning. Declarative memory involves recall of information and events, while procedural memory involves the learning of skills and other processes. In neurologically intact persons, these systems work in concert, yet they are relatively independent of one another. This model constrains the concept of character in a manner that allows researchers to address several issues, including (1) the manner in which character develops over time, (2) the mechanisms involved in the stability of character, and (3) the processes likely to be associated with character change.


2013 ◽  
Vol 17 (1) ◽  
pp. 56-72 ◽  
Author(s):  
KARA MORGAN-SHORT ◽  
MANDY FARETTA-STUTENBERG ◽  
KATHERINE A. BRILL-SCHUETZ ◽  
HELEN CARPENTER ◽  
PATRICK C. M. WONG

This study examined how individual differences in cognitive abilities account for variance in the attainment level of adult second language (L2) syntactic development. Participants completed assessments of declarative and procedural learning abilities. They subsequently learned an artificial L2 under implicit training conditions and received extended comprehension and production practice using the L2. Syntactic development was assessed at both early and late stages of acquisition. Results indicated positive relationships between declarative learning ability and syntactic development at early stages of acquisition and between procedural learning ability and development at later stages of acquisition. Individual differences in these memory abilities accounted for a large amount of variance at both stages of development. The findings are consistent with theoretical perspectives of L2 that posit different roles for these memory systems at different stages of development, and suggest that declarative and procedural memory learning abilities may predict L2 grammatical development, at least for implicitly trained learners.


2021 ◽  
pp. 1-18
Author(s):  
Samuel D. McDougle ◽  
Sarah A. Wilterson ◽  
Nicholas B. Turk-Browne ◽  
Jordan A. Taylor

Abstract Classic taxonomies of memory distinguish explicit and implicit memory systems, placing motor skills squarely in the latter branch. This assertion is in part a consequence of foundational discoveries showing significant motor learning in amnesics. Those findings suggest that declarative memory processes in the medial temporal lobe (MTL) do not contribute to motor learning. Here, we revisit this issue, testing an individual (L. S. J.) with severe MTL damage on four motor learning tasks and comparing her performance to age-matched controls. Consistent with previous findings in amnesics, we observed that L. S. J. could improve motor performance despite having significantly impaired declarative memory. However, she tended to perform poorly relative to age-matched controls, with deficits apparently related to flexible action selection. Further supporting an action selection deficit, L. S. J. fully failed to learn a task that required the acquisition of arbitrary action–outcome associations. We thus propose a modest revision to the classic taxonomic model: Although MTL-dependent memory processes are not necessary for some motor learning to occur, they play a significant role in the acquisition, implementation, and retrieval of action selection strategies. These findings have implications for our understanding of the neural correlates of motor learning, the psychological mechanisms of skill, and the theory of multiple memory systems.


Author(s):  
Tânia Prata ◽  
Graça Esgalhado

Abstract:According to the literature there is not one but multiple memory systems. In particular, two forms of memory can be distinguished in long-term memory: the explicit or declarative memory and the implicit or non-declarative memory. Different stimuli (words, faces/photographs/images or storytelling) of emotional significance (neutral/positive/negative) have been used to explain the functional interdependence between memory and emotion, with the relevance of affective material in the processing of information appearing to increase with age (Carstensen & Mikels, 2005). With the association of a depressed emotional state, several authors suggest that the information that is affectively congruent with a person’s state of mind/mood is better remembered than information that is affectively incongruent (Joorman & Gotlib, 2006; Lepännen, 2006). In this study we evaluate the conscious and non-conscious mnemonic processing of emotional words. To this end, 200 older adults aged between 60 and 89 were involved and two specific tests were designed (word recognition test and bigram completion test). In both tasks, the emotion words were better recognised and recalled than the ageing words. Despite the research hypotheses have not been confirmed, the emotional content of the stimuli somehow facilitated the retrieval of previously stored information. The differences found when comparing the group of the depressed with the non-depressed elderly are not statistically significant (p > .05) and therefore no mood-congruency effect was found. In turn, the implicit memory test proved the existence of a priming facilitation effect, which contributed to a better performance in this test. The findings suggest that when the priming facilitation effect occurs and affective material is used it is possible to achieve better memory results in both direct and indirect tests.Keywords: Explicit and implicit memory and emotionResumo:De acordo com a literatura não existe um único sistema mnésico, mas múltiplos sistemas. Especificamente, na Memória a Longo Prazo podem-se encontrar dois tipos de memória, a designada memória explícita ou declarativa e a memória implícita ou não declarativa. Vários estímulos (palavras, faces/fotografias/imagens ou histórias narradas) de valência emocional (neutro/positivo/negativo) têm sido utilizadas para explicar a interdependência funcional entre a memória e a emoção, sendo que à medida que se avança na idade parece aumentar a relevância do material afectivo no processamento da informação (Carstensen & Mikels, 2005). Quando associado um estado emocional depressivo, vários autores sugerem que a informação afectivamente congruente com o estado de ânimo/humor dos indivíduos é melhor recordada que a informação afectivamente incongruente (Joormann & Gotlib, 2006; Leppänen, 2006). Neste estudo procuramos avaliar o processamento mnésico consciente e não consciente de palavras emocionais. Para tal, participaram 200 idosos com idades compreendidas entre os 60 e 88 anos e foram construídas duas provas específicas (Prova de reconhecimento de palavras e Prova de completamento de bigramas). Em ambas as provas houve um melhor reconhecimento e evocação das palavras-emoções do que das palavras-envelhecimento. Apesar das hipóteses de investigação terem sido infirmadas, o conteúdo emocional dos estímulos, de certo modo, facilitou na recuperação da informação anteriormente armazenada. As diferenças encontradas quando comparados o grupo dos deprimidos e o dos não deprimidos não são estatisticamente significativas (p >.05), logo não se encontrou um efeito de congruência de humor. Por sua vez, quando utilizada a prova de memória implícita comprovou-se a existência do efeito facilitador priming, o que contribuiu para o alcance de melhores resultados nesta prova.Os resultados obtidos sugerem que quando está presente o efeito de facilitação priming e utilizadomaterial afectivo consegue-se alcançar melhores resultados mnésicos quer em provas directas,quer indirectas.Palavras-Chave: Memória explícita e implícita e emoção


Author(s):  
Richard J. Beninger

Multiple memory systems describes how memories can be declarative or non-declarative; incentive learning produces one type of non-declarative memory. Patients with bilateral hippocampal damage have declarative memory deficits (amnesia) but intact non-declarative memory; patients with striatal dysfunction, for example, Parkinson’s patients who lose striatal dopamine have impaired incentive learning but intact declarative memory. Rats with lesions of the fornix (hippocampal output pathway), but not lesions of the dorsal striatum, have impaired spatial (declarative) memory; rats with lesions of the dorsal striatum, but not fornix, have impaired stimulus–response memory that relies heavily on incentive learning. These memory systems possibly inhibit one another to control responding: in rats, a group that received fornix lesions and had impaired spatial learning did better on an incentive task; in humans, hippocampus damage was associated with improvement on an incentive learning task and striatal damage was associated with increased involvement of the hippocampus in a route-recognition task.


Author(s):  
Richard J. Beninger

The Introduction provides a brief overview of the book. The central theme is dopamine-mediated reward-related incentive learning—the acquisition by neutral stimuli of an increased ability to elicit approach and other responses. The brain has multiple memory systems defined as “declarative” and “non-declarative”; incentive learning produces one form of non-declarative memory. Once incentive learning is established it is gradually lost when the rewarding stimulus is no longer available or when dopamine function is reduced. Decreases in dopaminergic neurotransmission may produce inverse incentive learning—the loss by stimuli of their ability to elicit approach and other responses. Dopamine-related diseases including schizophrenia, Parkinson’s, attention deficit hyperactivity disorder, and drug abuse involve altered incentive learning. Incentive and inverse incentive learning may occur by the actions of dopamine, adenosine, and endocannabinoids at dendritic spines of striatal medium spiny neurons that have had recent glutamate input. Activity in dopaminergic neurons in humans appears to affect mental experience.


2020 ◽  
Vol 63 (12) ◽  
pp. 4162-4178
Author(s):  
Emily Jackson ◽  
Suze Leitão ◽  
Mary Claessen ◽  
Mark Boyes

Purpose Previous research into the working, declarative, and procedural memory systems in children with developmental language disorder (DLD) has yielded inconsistent results. The purpose of this research was to profile these memory systems in children with DLD and their typically developing peers. Method One hundred four 5- to 8-year-old children participated in the study. Fifty had DLD, and 54 were typically developing. Aspects of the working memory system (verbal short-term memory, verbal working memory, and visual–spatial short-term memory) were assessed using a nonword repetition test and subtests from the Working Memory Test Battery for Children. Verbal and visual–spatial declarative memory were measured using the Children's Memory Scale, and an audiovisual serial reaction time task was used to evaluate procedural memory. Results The children with DLD demonstrated significant impairments in verbal short-term and working memory, visual–spatial short-term memory, verbal declarative memory, and procedural memory. However, verbal declarative memory and procedural memory were no longer impaired after controlling for working memory and nonverbal IQ. Declarative memory for visual–spatial information was unimpaired. Conclusions These findings indicate that children with DLD have deficits in the working memory system. While verbal declarative memory and procedural memory also appear to be impaired, these deficits could largely be accounted for by working memory skills. The results have implications for our understanding of the cognitive processes underlying language impairment in the DLD population; however, further investigation of the relationships between the memory systems is required using tasks that measure learning over long-term intervals. Supplemental Material https://doi.org/10.23641/asha.13250180


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