Relation of three mechanisms of working memory to children’s complex span performance

2009 ◽  
Vol 33 (5) ◽  
pp. 460-469 ◽  
Author(s):  
Beula Magimairaj ◽  
James Montgomery ◽  
Sally Marinellie ◽  
John McCarthy
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Memory Span ◽  
Digit Span ◽  
Span Task ◽  
Attentional Resource ◽  
Complex Span ◽  
Attentional Allocation ◽  
Unique Variance ◽  
Relative Contribution

There is a paucity of research examining the relative contribution of the different mechanisms of working memory (short-term storage [STM], processing speed) to children’s complex memory span. This study served to replicate and extend the few extant studies that have examined the issue. In this study, the relative contribution of three mechanisms of working memory — STM storage, processing speed, attentional resource allocation — to children’s complex span was examined. Children (6—12) completed a digit span task, an auditory-visual reaction time task, a task of attentional allocation, and a complex (listening) span task. Correlation analyses revealed that, after controlling for age, storage, processing speed, and attentional allocation significantly correlated with complex span. Regression analyses showed that, after partialling out age, storage accounted for 12.1% of unique variance in complex span and processing speed accounted for another 6.6% of unique variance; allocation contributed no unique variance. Consistent with the developmental literature, storage and general processing speed play critical roles in children’s complex span performance.

scholarly journals The Digit Span Backwards Task

2015 ◽  
Vol 31 (3) ◽  
pp. 174-180 ◽  
Author(s):  
Sven Hilbert ◽  
Tristan T. Nakagawa ◽  
Patricia Puci ◽  
Alexandra Zech ◽  
Markus Bühner
Keyword(s):  
Working Memory ◽  
Digit Span ◽  
Working Memory Capacity ◽  
Cognitive Strategies ◽  
Span Task ◽  
Presentation Modality ◽  
Clinical Neuropsychology ◽  
Complex Span ◽  
Dual Task Condition ◽  
Complex Span Task

Abstract. The “digit span backwards” (DSB) is the most commonly used test in clinical neuropsychology to assess working memory capacity. Yet, it remains unclear how the task is solved cognitively. The present study was conducted to examine the use of visual and verbal cognitive strategies in the DSB. Further, the relationship between the DSB and a complex span task, based on the Simultaneous Storage and Processing task ( Oberauer et al., 2003 ), was investigated. Visualizers performed better than verbalizers in the dual task condition (rPB = .23) only when the relevant digits were presented optically. Performance in the DSB correlated only weakly with the complex span task in all conditions (all τ ≤ .21). The results indicate that the processing modality is determined by the preference for a cognitive strategy rather than the presentation modality and suggest that the DSB measures different working aspects than commonly used experimental working memory tasks.

Verbal fluency in male and female schizophrenia patients: Different patterns of association with processing speed, working memory span, and clinical symptoms.

2018 ◽  
Vol 32 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Gildas Brébion ◽  
Christian Stephan-Otto ◽  
Susana Ochoa ◽  
Lourdes Nieto ◽  
Montserrat Contel ◽  
...  
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Verbal Fluency ◽  
Memory Span ◽  
Clinical Symptoms ◽  
Male And Female

scholarly journals Why expressive suppression does not pay? Cognitive costs of negative emotion suppression: The mediating role of subjective tense-arousal

2015 ◽  
Vol 46 (3) ◽  
pp. 336-349 ◽  
Author(s):  
Dorota Szczygieł ◽  
Tomasz Maruszewski
Keyword(s):  
Working Memory ◽  
Problem Solving ◽  
Negative Emotion ◽  
Digit Span ◽  
Negative Emotions ◽  
Span Task ◽  
Expressive Suppression ◽  
Mediating Role ◽  
Negative Effect ◽  
Problem Solving Task

Abstract The aim of this paper was to contribute to a broader understanding of the cognitive consequences of expressive suppression. Specifically, we examined whether the deteriorating effect of expressive suppression on cognitive functioning is caused by tense arousal enhanced by suppression. Two experiments were performed in order to test this prediction. In both studies we tested the effect of expressive suppression on working memory, as measured with a backwards digit-span task (Study 1, N = 43) and anagram problem-solving task (Study 2, N = 60). In addition, in Study 2 we tested whether expressive suppression degrades memory of the events that emerged during the period of expressive suppression. Both studies were conducted in a similar design: Participants watched a film clip which evoked negative emotions (i.e. disgust in Study 1 and a combination of sadness and anxiety in Study 2) under the instruction to suppress those negative emotions or (in the control condition) to simply watch the film. The results of these experiments lead to three conclusions. First, the results reveal that expressive suppression degrades memory of the events that emerged during the period of expressive suppression and leads to poorer performance on working memory tasks, as measured with a backwards digit-span task and anagram problem-solving task. Second, the results indicate that expressive suppression leads to a significant increase in subjective tense arousal. Third, the results support our prediction that expressive suppression decreases cognitive performance through its effects on subjective tense arousal. The results of the Study 1 show that tense arousal activated during expressive suppression of disgust fully mediates the negative effect of suppression on working memory as measured with a backwards digit-span task. The results of Study 2 reveal that subjective tense arousal elicited while suppressing sadness and anxiety mediates both the effect of suppression on working memory - as measured with the anagram task - and memory of the events that occurred during the period of suppression.

Working Memory Span Task

2013 ◽  
Author(s):  
C. Cybele Raver ◽  
◽  
Clancy Blair ◽  
Michael Willoughby
Keyword(s):  
Working Memory ◽  
Memory Span ◽  
Span Task

Processing Speed and Working Memory Span: Their Differential Role in Superficial and Deep Memory Processes in Schizophrenia

2011 ◽  
Vol 17 (3) ◽  
pp. 485-493 ◽  
Author(s):  
Gildas Brébion ◽  
Rodrigo A. Bressan ◽  
Lyn S. Pilowsky ◽  
Anthony S. David
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Visual Memory ◽  
Memory Impairment ◽  
Memory Span ◽  
Memory Deficit ◽  
Regression Analyses ◽  
Independent Variables ◽  
Group Processing ◽  
Two Factors

Previous work has suggested that decrement in both processing speed and working memory span plays a role in the memory impairment observed in patients with schizophrenia. We undertook a study to examine simultaneously the effect of these two factors. A sample of 49 patients with schizophrenia and 43 healthy controls underwent a battery of verbal and visual memory tasks. Superficial and deep encoding memory measures were tallied. We conducted regression analyses on the various memory measures, using processing speed and working memory span as independent variables. In the patient group, processing speed was a significant predictor of superficial and deep memory measures in verbal and visual memory. Working memory span was an additional significant predictor of the deep memory measures only. Regression analyses involving all participants revealed that the effect of diagnosis on all the deep encoding memory measures was reduced to non-significance when processing speed was entered in the regression. Decreased processing speed is involved in verbal and visual memory deficit in patients, whether the task require superficial or deep encoding. Working memory is involved only insofar as the task requires a certain amount of effort. (JINS, 2011, 17, 485–493)

scholarly journals Do complex span and content-embedded working memory tasks predict unique variance in inductive reasoning?

2018 ◽  
Vol 51 (6) ◽  
pp. 2546-2558
Author(s):  
Amanda Zamary ◽  
Katherine A. Rawson ◽  
Christopher A. Was
Keyword(s):  
Working Memory ◽  
Inductive Reasoning ◽  
Complex Span ◽  
Unique Variance

Cognitive Correlates of Math Performance in School-Aged Children with Sickle Cell Disease and Silent Cerebral Infarcts

2020 ◽  
Author(s):  
Rachel K Peterson ◽  
Suzan Williams ◽  
Laura Janzen
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Performance Test ◽  
Digit Span ◽  
Continuous Performance Test ◽  
Continuous Performance ◽  
Parent Ratings ◽  
Cell Disease ◽  
Math Fluency ◽  
Math Difficulties

Abstract Objective Attention, processing speed, executive functioning, and math difficulties are common in youth with sickle cell disease (SCD) with silent cerebral infarcts (SCI). This study investigated the cognitive underpinnings of math difficulties in children with SCD and SCI. Method Youth (n = 68) with SCD and SCI completed measures of attention [Digit Span forward (DSF); Conners Continuous Performance Test-Third Edition/Kiddie Conners Continuous Performance Test-Second Edition (CPT-3/KCPT-2)]; working memory [Wechsler Intelligence Scales (WPPSI-IV, WISC-IV, WISC-V, WAIS-IV), Working Memory Index (WMI), Digit Span backwards (DSB)]; processing speed [WPPSI-IV, WISC-IV, WISC-V, WAIS-IV Processing Speed Index (PSI)]; math reasoning [Wechsler Individual Achievement Test-Third Edition (WIAT-III) Mathematics composite (MC)]; and math fluency [WIAT-III Math Fluency composite (MF)] as part of a clinical neuropsychological evaluation. Parent ratings of attention and executive functioning were obtained [Behavior Assessment System for Children-Third Edition (BASC-3), Behavior Rating Inventory of Executive Function (BRIEF)]. Results MC was positively correlated with WMI (r = 0.59, p = 0.00), PSI (r = 0.40, p < 0.001), DSF (r = 0.29, p = 0.03), DSB (r = 0.47, p < 0.001), and MF (r = 0.71, p < 0.001). Correlations between MC, sustained attention, and parent ratings were nonsignificant. The linear regression model using correlated variables was significant [F(4,51) = 8.29, R2 = 0.39, p < 0.001]. WMI was the only significant variable within the model (p = 0.02). Conclusions Working memory deficits account for significant variance in untimed mathematical performance in this population—consistent with other populations with white matter dysfunction. Interventions targeting both mathematics and working memory may be beneficial.

Decreased processing speed might account for working memory span deficit in schizophrenia, and might mediate the associations between working memory span and clinical symptoms

2014 ◽  
Vol 29 (8) ◽  
pp. 473-478 ◽  
Author(s):  
G. Brébion ◽  
C. Stephan-Otto ◽  
E. Huerta-Ramos ◽  
J. Usall ◽  
M. Perez del Olmo ◽  
...  
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Memory Impairment ◽  
Negative Symptoms ◽  
Memory Span ◽  
Clinical Symptoms ◽  
Verbal Working Memory ◽  
Motor Speed ◽  
Speed Measure ◽  
Cognitive Speed

AbstractObjectiveVerbal working memory span is decreased in patients with schizophrenia, and this might contribute to impairment in higher cognitive functions as well as to the formation of certain clinical symptoms. Processing speed has been identified as a crucial factor in cognitive efficiency in this population. We tested the hypothesis that decreased processing speed underlies the verbal working memory deficit in patients and mediates the associations between working memory span and clinical symptoms.MethodForty-nine schizophrenia inpatients recruited from units for chronic and acute patients, and forty-five healthy participants, were involved in the study. Verbal working memory span was assessed by means of the letter-number span. The Digit Copy test was used to assess motor speed, and the Digit Symbol Substitution Test to assess cognitive speed.ResultsThe working memory span was significantly impaired in patients (F(1,90) = 4.6, P < 0.05). However, the group difference was eliminated when either the motor or the cognitive speed measure was controlled (F(1,89) = 0.03, P = 0.86, and F(1,89) = 0.03, P = 0.88). In the patient group, working memory span was significantly correlated with negative symptoms (r = –0.52, P < 0.0001) and thought disorganisation (r = –0.34, P < 0.025) scores. Regression analyses showed that the association with negative symptoms was no longer significant when the motor speed measure was controlled (β = –0.12, P = 0.20), while the association with thought disorganisation was no longer significant when the cognitive speed measure was controlled (β = –0.10, P = 0.26).ConclusionsDecrement in motor and cognitive speed plays a significant role in both the verbal working memory impairment observed in patients and the associations between verbal working memory impairment and clinical symptoms.

Working memory and aging: A cross-sectional and longitudinal analysis using a self-ordered pointing task

2004 ◽  
Vol 10 (4) ◽  
pp. 489-503 ◽  
Author(s):  
NAOMI CHAYTOR ◽  
MAUREEN SCHMITTER-EDGECOMBE
Keyword(s):  
Older Adults ◽  
Working Memory ◽  
Longitudinal Analysis ◽  
Processing Speed ◽  
Memory Performance ◽  
Cross Sectional ◽  
Relative Contribution ◽  
Age Related ◽  
Intellectual Abilities ◽  
Pointing Task

Age-related declines in working memory performance have been associated with deficits in inhibition, strategy use, processing speed, and monitoring. In the current study, cross-sectional and longitudinal methodologies were used to investigate the relative contribution of these components to age-related changes in working memory. In Experiment 1, a sample of 140 younger and 140 older adults completed an abstract design version of the Self-Ordered Pointing Task modeled after Shimamura and Jurica (1994). Experiment 1 revealed that only processing speed and monitoring explained age differences in SOPT performance. Participants in Experiment 2 were 53 older adults who returned 4 years after the initial testing and 53 young adults. A task that assessed the ability to generate and monitor an internal series of responses as compared to an externally imposed series of responses was also administered. Experiment 2 replicated the key findings from Experiment 1 and provided some further evidence for age-related internal monitoring difficulties. Furthermore, the exploratory longitudinal analysis revealed that older age and lower intellectual abilities tended to be associated with poorer performance on the SOPT at Time 2. (JINS, 2004, 10, 489–503.)

The relationship between working memory capacity and simultaneous interpreting performance

Interpreting ◽  
2016 ◽  
Vol 18 (1) ◽  
pp. 1-33 ◽  
Author(s):  
Jihong Wang
Keyword(s):  
Working Memory ◽  
Working Memory Capacity ◽  
Time Lag ◽  
Memory Capacity ◽  
Span Task ◽  
Complex Span ◽  
Simultaneous Interpreting ◽  
Signed Language ◽  
Native Signers ◽  
The Relationship

This experimental study investigated the relationship between signed language interpreters’ working memory capacity (WMC) and their simultaneous interpreting performance. Thirty-one professional Auslan (Australian Sign Language)/English interpreters participated: 14 native signers and 17 non-native signers. They completed simultaneous interpreting tasks from English into Auslan and vice versa, an English listening span task and an Auslan working memory span task; each interpreting task was followed by a short semi-structured interview. Quantitative results for the sample as a whole showed no significant correlations between bilingual WMC and overall simultaneous interpreting performance in either direction. The same trend was established for both the native signers and the non-native signers, considered as two separate groups. The findings thus suggest that professional signed language interpreters’ WMC as measured by complex span tasks is not closely associated with the overall quality of their simultaneous interpreting performance. Data regarding educational and professional background showed mixed patterns in relation to participants’ interpreting performance in each language direction. In the interviews, participants reported various triggers of cognitive overload in the simultaneous interpreting tasks (e.g. numbers, lists of items, a long time lag, dense information, fatigue) and mentioned their coping strategies (e.g. strategic omissions, summarization, generalization, adjusting time lag).

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