scholarly journals Multivariate Pattern Analysis (MVPA) Reveals Distinct Neural Profiles of Frontoparietal Networks in Boys with Attention-Deficit/Hyperactivity Disorder and Boys with Persistent Depressive Disorder

2021 ◽  
Author(s):  
Veronika Vilgis ◽  
Debbie Yee ◽  
Tim J. Silk ◽  
Alasdair Vance
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Brain Networks ◽  
Verbal Working Memory ◽  
Response Patterns ◽  
Multivariate Pattern Analysis ◽  
Memory Processes ◽  
Hyperactivity Disorder ◽  
Functional Brain Networks ◽  
Multivariate Pattern

AbstractWorking memory deficits are common in attention-deficit/hyperactivity disorder (ADHD) and depression, two common neurodevelopmental disorders with overlapping cognitive profiles but distinct clinical presentation. Multivariate techniques have previously been utilized to understand working memory processes in functional brain networks in healthy adults, but have not yet been applied to investigate how working memory processes within the same networks differ within typical and atypical developing populations. We used multivariate pattern analysis (MVPA) to identify whether brain networks discriminated between spatial vs. verbal working memory processes in ADHD and Persistent Depressive Disorder (PDD). 36 male clinical participants and 19 typically developing (TD) boys participated in a fMRI scan while completing a verbal and a spatial working memory task. Within a priori functional brain networks (frontoparietal, default mode, salience) the TD group demonstrated differential response patterns to verbal and spatial working memory. Both clinical groups show less differentiation than TD, with neural profiles suggesting ADHD is associated with weaker differentiation in both frontoparietal and salience networks and PDD is associated with weaker differentiation in left frontoparietal and default mode networks. Whereas the TD group’s neural profile indicates network response patterns that are sensitive to task demands, the neural profiles of the ADHD and PDD group suggest less specificity in neural representations of spatial and verbal working memory. We highlight within-group classification as innovative tool for understanding the neural mechanisms of how cognitive processes may deviate in clinical disorders, an important intermediary step towards improving translational psychiatry to inform clinical diagnoses and treatment.

scholarly journals Distinct and Common Neural Coding of Semantic and Non-semantic Control Demands

2020 ◽  
Author(s):  
Zhiyao Gao ◽  
Li Zheng ◽  
Rocco Chiou ◽  
André Gouws ◽  
Katya Krieger-Redwood ◽  
...  
Keyword(s):  
Working Memory ◽  
Neural Coding ◽  
Activity Patterns ◽  
Verbal Working Memory ◽  
Multivariate Pattern Analysis ◽  
Neural Responses ◽  
Cognitive Demands ◽  
Cross Classification ◽  
Multivariate Pattern

AbstractThe flexible retrieval of knowledge is critical in everyday situations involving problem solving, reasoning and social interaction. Current theories have emphasised the importance of a left-lateralised semantic control network (SCN) in supporting flexible semantic behaviour. Apart from the SCN, a bilateral multiple-demand network (MDN) is implicated in executive functions across domains. No study, however, has examined whether semantic and non-semantic demands are reflected in a common neural code within regions specifically implicated in semantic control. Using functional MRI and univariate parametric modulation analysis as well as multivariate pattern analysis, we found that semantic and non-semantic demands gave rise to both similar and distinct neural responses across control-related networks. Though activity patterns in SCN and MDN could decode the difficulty of both semantic and verbal working memory decisions, there was no shared common neural coding of cognitive demands in SCN. In contrast, regions in MDN showed common patterns across manipulations of semantic and working memory control demands, with successful cross-classification of difficulty across tasks. Therefore, SCN and MDN can be dissociated according to the information they maintain about cognitive demands.

Neuropsychological functions among adolescents with persistent, subsyndromal and remitted attention deficit hyperactivity disorder

2013 ◽  
Vol 44 (8) ◽  
pp. 1765-1777 ◽  
Author(s):  
Y. J. Lin ◽  
W. J. Chen ◽  
S. S. Gau
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Working Memory ◽  
Attention Deficit ◽  
Visual Recognition ◽  
Spatial Working Memory ◽  
Verbal Working Memory ◽  
Memory Impairments ◽  
Spatial Span ◽  
Hyperactivity Disorder ◽  
Neuropsychological Functions

BackgroundPrevious studies have reported mixed results on neuropsychological deficits in attention deficit hyperactivity disorder (ADHD) and only a few studies have focused on adolescents. There is also a debate about whether the executive function (EF) impairments in ADHD are primary deficits or have some contribution from the underlying non-EF processes. The aim of this study was to investigate the impairments in EF and neuropsychological function with relatively low executive demand (low-EF) in adolescents with childhood diagnosis of ADHD as a function of current ADHD status.MethodPsychiatric diagnostic interviews and computerized neuropsychological tests classified into EF and low-EF tasks were completed by 435 adolescents with a childhood diagnosis of ADHD (300 adolescents classified as persistent ADHD, 109 as subsyndromal ADHD and 26 as remitted ADHD based on the current diagnosis) and 263 typically developing (TD) adolescents.ResultsThere were significant EF (spatial working memory, spatial planning and verbal working memory) and low-EF (signal detectability, spatial span and visual recognition memory) impairments in persistent and subsyndromal ADHD. The impairments in EF were independent of low-EF despite significant moderate correlations between any two of these tasks. Adolescents with remitted ADHD showed no deficit in either EF or low-EF.ConclusionsThis study suggests that adolescents with persistent and subsyndromal ADHD have EF and low-EF impairments that might contribute to ADHD independently.

Basic numerical processing, calculation, and working memory in children with dyscalculia and/or ADHD symptoms

2016 ◽  
Vol 44 (5) ◽  
pp. 365-375 ◽  
Author(s):  
Jörg-Tobias Kuhn ◽  
Elena Ise ◽  
Julia Raddatz ◽  
Christin Schwenk ◽  
Christian Dobel
Keyword(s):  
Working Memory ◽  
Processing Speed ◽  
Verbal Working Memory ◽  
Typically Developing ◽  
Cognitive Profiles ◽  
Adhd Symptoms ◽  
Memory Processing ◽  
Numerical Processing ◽  
Hyperactivity Disorder ◽  
Neurocognitive Measures

Abstract. Objective: Deficits in basic numerical skills, calculation, and working memory have been found in children with developmental dyscalculia (DD) as well as children with attention-deficit/hyperactivity disorder (ADHD). This paper investigates cognitive profiles of children with DD and/or ADHD symptoms (AS) in a double dissociation design to obtain a better understanding of the comorbidity of DD and ADHD. Method: Children with DD-only (N = 33), AS-only (N = 16), comorbid DD+AS (N = 20), and typically developing controls (TD, N = 40) were assessed on measures of basic numerical processing, calculation, working memory, processing speed, and neurocognitive measures of attention. Results: Children with DD (DD, DD+AS) showed deficits in all basic numerical skills, calculation, working memory, and sustained attention. Children with AS (AS, DD+AS) displayed more selective difficulties in dot enumeration, subtraction, verbal working memory, and processing speed. Also, they generally performed more poorly in neurocognitive measures of attention, especially alertness. Children with DD+AS mostly showed an additive combination of the deficits associated with DD-only and A_Sonly, except for subtraction tasks, in which they were less impaired than expected. Conclusions: DD and AS appear to be related to largely distinct patterns of cognitive deficits, which are present in combination in children with DD+AS.


Shared Predictors of Academic Achievement in Children with ADHD: A Multi-Sample Study

2021 ◽  
pp. 108705472110120
Author(s):  
Kelly D. Carrasco ◽  
Chi-Ching Chuang ◽  
Gail Tripp
Keyword(s):  
Academic Achievement ◽  
Working Memory ◽  
Word Reading ◽  
Spatial Working Memory ◽  
Verbal Working Memory ◽  
The United States ◽  
Children With Adhd ◽  
Visual Spatial ◽  
Visual Spatial Working Memory ◽  
Predictors Of Academic Achievement

Objective: To identify common and shared predictors of academic achievement across samples of children with ADHD. Method: Two clinically referred samples from New Zealand (1 n = 88, 82% boys; 2 n = 121, 79% boys) and two community samples from the United States (3 n = 111, 65% boys; 4 n = 114, 69% boys), completed similar diagnostic, cognitive and academic assessments. Hierarchical multiple regression analyses identified significant predictors of word reading, spelling, and math computation performance in each sample. Results: Entered after IQ, semantic language, age at testing, and verbal working memory emerged as consistent predictors of achievement across academic subjects and samples. Visual-spatial working memory contributed to variance in math performance only. Symptom severity explained limited variance. Conclusions: We recommend evaluations of children with ADHD incorporate assessments of working memory and language skills. Classroom/academic interventions should accommodate reduced working memory and address any identified language weaknesses.

scholarly journals Dissociable Mechanisms of Verbal Working Memory Revealed through Multivariate Lesion Mapping

2019 ◽  
Vol 30 (4) ◽  
pp. 2542-2554 ◽  
Author(s):  
Maryam Ghaleh ◽  
Elizabeth H Lacey ◽  
Mackenzie E Fama ◽  
Zainab Anbari ◽  
Andrew T DeMarco ◽  
...  
Keyword(s):  
Working Memory ◽  
Spatial Working Memory ◽  
Superior Temporal Gyrus ◽  
Verbal Working Memory ◽  
Brain Structures ◽  
Brain Regions ◽  
Task Demands ◽  
Auditory Information ◽  
Verbal Information ◽  
Task Conditions

Abstract Two maintenance mechanisms with separate neural systems have been suggested for verbal working memory: articulatory-rehearsal and non-articulatory maintenance. Although lesion data would be key to understanding the essential neural substrates of these systems, there is little evidence from lesion studies that the two proposed mechanisms crucially rely on different neuroanatomical substrates. We examined 39 healthy adults and 71 individuals with chronic left-hemisphere stroke to determine if verbal working memory tasks with varying demands would rely on dissociable brain structures. Multivariate lesion–symptom mapping was used to identify the brain regions involved in each task, controlling for spatial working memory scores. Maintenance of verbal information relied on distinct brain regions depending on task demands: sensorimotor cortex under higher demands and superior temporal gyrus (STG) under lower demands. Inferior parietal cortex and posterior STG were involved under both low and high demands. These results suggest that maintenance of auditory information preferentially relies on auditory-phonological storage in the STG via a nonarticulatory maintenance when demands are low. Under higher demands, sensorimotor regions are crucial for the articulatory rehearsal process, which reduces the reliance on STG for maintenance. Lesions to either of these regions impair maintenance of verbal information preferentially under the appropriate task conditions.

scholarly journals Mapping the neuroanatomic substrates of cognition in familial attention deficit hyperactivity disorder

2018 ◽  
Vol 49 (4) ◽  
pp. 590-597 ◽  
Author(s):  
Rachel Muster ◽  
Saadia Choudhury ◽  
Wendy Sharp ◽  
Steven Kasparek ◽  
Gustavo Sudre ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Working Memory ◽  
Information Processing ◽  
Attention Deficit ◽  
Cognitive Abilities ◽  
Cognitive Skills ◽  
Spatial Working Memory ◽  
Medication History ◽  
Hyperactivity Disorder ◽  
Psychostimulant Medication

AbstractBackgroundWhile the neuroanatomic substrates of symptoms of attention deficit hyperactivity disorder (ADHD) have been investigated, less is known about the neuroanatomic correlates of cognitive abilities pertinent to the disorder, particularly in adults. Here we define the neuroanatomic correlates of key cognitive abilities and determine if there are associations with histories of psychostimulant medication.MethodsWe acquired neuroanatomic magnetic resonance imaging data from 264 members of 60 families (mean age 29.5; s.d. 18.4, 116 with ADHD). Using linear mixed model regression, we tested for associations between cognitive abilities (working memory, information processing, intelligence, and attention), symptoms and both cortical and subcortical volumes.ResultsSymptom severity was associated with spatial working memory (t = −3.77, p = 0.0002), processing speed (t = −2.95, p = 0.004) and a measure of impulsive responding (t = 2.19, p = 0.03); these associations did not vary with age (all p > 0.1). Neuroanatomic associations of cognition varied by task but centered on prefrontal, lateral parietal and temporal cortical regions, the thalamus and putamen. The neuroanatomic correlates of ADHD symptoms overlapped significantly with those of working memory (Dice's overlap coefficient: spatial, p = 0.003; verbal, p = 0.001) and information processing (p = 0.02). Psychostimulant medication history was associated with neither cognitive skills nor with a brain–cognition relationships.ConclusionsDiagnostic differences in the cognitive profile of ADHD does not vary significantly with age; nor were cognitive differences associated with psychostimulant medication history. The neuroanatomic substrates of working memory and information overlapped with those for symptoms within these extended families, consistent with a pathophysiological role for these cognitive skills in familial ADHD.

scholarly journals Author Correction: Dynamic reconfiguration of functional brain networks during working memory training

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Karolina Finc ◽  
Kamil Bonna ◽  
Xiaosong He ◽  
David M. Lydon-Staley ◽  
Simone Kühn ◽  
...  
Keyword(s):  
Working Memory ◽  
Brain Networks ◽  
Dynamic Reconfiguration ◽  
Working Memory Training ◽  
Memory Training ◽  
Functional Brain ◽  
Functional Brain Networks
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