1
|
Albuquerque CP, Moura O, Vilar M, Seabra-Santos MJ, Pereira M, Major S, Moreira A, Lopes AF, Gaudêncio A, Simões MR. BRIEF-A: Factor structure and measurement invariance across self-report and informant forms. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-11. [PMID: 37988689 DOI: 10.1080/23279095.2023.2283080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2023]
Abstract
OBJECTIVE This study analyzes the psychometric properties of the two forms (self-report and informant) of the Behavior Rating Inventory of Executive Function-Adult version (BRIEF-A) in a sample of healthy Portuguese adults. METHOD The participants were 608 adults, 304 of whom answered the self-report form (ages 18-59; 137 male and 167 female) and 304 who answered the informant form (ages 18-70; 110 male and 194 female). RESULTS The internal consistency for the indexes and the Global Executive Composite was very good (≥.90), whereas for the scales they were either acceptable (between .70 and .80) or good (≥.80), except for the Inhibit scale in both forms. Confirmatory factor analysis was used to test seven competing factor models for each of the forms. The original two-factor model (Behavioral Regulation and Metacognition Indexes) showed a slightly better model fit than the three-factor model (Behavioral Regulation, Emotional Regulation, and Metacognition Indexes) in both forms. The multiple-group analysis of the two-correlated-factor model across forms was supported (configural, metric, and partial scalar invariance). CONCLUSIONS Overall, the BRIEF-A showed adequate psychometric properties, suggesting that it is a useful instrument to assess everyday executive functioning in healthy Portuguese adults.
Collapse
Affiliation(s)
- Cristina P Albuquerque
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Octávio Moura
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Manuela Vilar
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Maria João Seabra-Santos
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Marcelino Pereira
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Sofia Major
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
- University of the Azores, Azores, Portugal
| | - André Moreira
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Ana Filipa Lopes
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
- Serviço de Psicologia do Hospital Garcia da Orta, Centro de Desenvolvimento da Criança Torrado da Silva, Almada, Portugal
| | - Alexandra Gaudêncio
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| | - Mário R Simões
- Faculty of Psychology and Educational Sciences, Center for Research in Neuropsychology and Cognitive and Behavioural Intervention, University of Coimbra, Coimbra, Portugal
| |
Collapse
|
2
|
Sokolovič L, Hofmann MJ, Mohammad N, Kukolja J. Neuropsychological differential diagnosis of Alzheimer's disease and vascular dementia: a systematic review with meta-regressions. Front Aging Neurosci 2023; 15:1267434. [PMID: 38020767 PMCID: PMC10657839 DOI: 10.3389/fnagi.2023.1267434] [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: 07/26/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Diagnostic classification systems and guidelines posit distinguishing patterns of impairment in Alzheimer's (AD) and vascular dementia (VaD). In our study, we aim to identify which diagnostic instruments distinguish them. Methods We searched PubMed and PsychInfo for empirical studies published until December 2020, which investigated differences in cognitive, behavioral, psychiatric, and functional measures in patients older than 64 years and reported information on VaD subtype, age, education, dementia severity, and proportion of women. We systematically reviewed these studies and conducted Bayesian hierarchical meta-regressions to quantify the evidence for differences using the Bayes factor (BF). The risk of bias was assessed using the Newcastle-Ottawa-Scale and funnel plots. Results We identified 122 studies with 17,850 AD and 5,247 VaD patients. Methodological limitations of the included studies are low comparability of patient groups and an untransparent patient selection process. In the digit span backward task, AD patients were nine times more probable (BF = 9.38) to outperform VaD patients (β g = 0.33, 95% ETI = 0.12, 0.52). In the phonemic fluency task, AD patients outperformed subcortical VaD (sVaD) patients (β g = 0.51, 95% ETI = 0.22, 0.77, BF = 42.36). VaD patients, in contrast, outperformed AD patients in verbal (β g = -0.61, 95% ETI = -0.97, -0.26, BF = 22.71) and visual (β g = -0.85, 95% ETI = -1.29, -0.32, BF = 13.67) delayed recall. We found the greatest difference in verbal memory, showing that sVaD patients outperform AD patients (β g = -0.64, 95% ETI = -0.88, -0.36, BF = 72.97). Finally, AD patients performed worse than sVaD patients in recognition memory tasks (β g = -0.76, 95% ETI = -1.26, -0.26, BF = 11.50). Conclusion Our findings show inferior performance of AD in episodic memory and superior performance in working memory. We found little support for other differences proposed by diagnostic systems and diagnostic guidelines. The utility of cognitive, behavioral, psychiatric, and functional measures in differential diagnosis is limited and should be complemented by other information. Finally, we identify research areas and avenues, which could significantly improve the diagnostic value of cognitive measures.
Collapse
Affiliation(s)
- Leo Sokolovič
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
- Faculty of Health, Witten/Herdecke University, Witten, Germany
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Markus J. Hofmann
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Nadia Mohammad
- Department of General and Biological Psychology, University of Wuppertal, Wuppertal, Germany
| | - Juraj Kukolja
- Department of Neurology and Clinical Neurophysiology, Helios University Hospital Wuppertal, Wuppertal, Germany
- Faculty of Health, Witten/Herdecke University, Witten, Germany
| |
Collapse
|
3
|
Scarfo J, Ball M. 20 years on: Confirmation of P. Anderson's (2002) paediatric model of executive functioning in a healthy adult sample. Heliyon 2023; 9:e15504. [PMID: 37215787 PMCID: PMC10196486 DOI: 10.1016/j.heliyon.2023.e15504] [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: 08/06/2022] [Revised: 03/27/2023] [Accepted: 04/11/2023] [Indexed: 05/24/2023] Open
Abstract
Executive Functioning (EF) is a construct that encompasses multiple interrelated higher order skills, however, conceptualising this nebulous construct remains challenging. This study aimed to confirm the validity of Anderson's (2002) paediatric model of EF in a healthy adult sample using congeneric modelling. Measures of EF were selected based on utility with adult populations giving rise to minor methodological differences from the original paper. Separate congeneric models were constructed using each of Anderson's constructs in order to isolate the sub-skills represented by each (Attentional Control-AC, Cognitive Flexibility-CF, Information Processing-IP, Goal Setting-GS), with a minimum of three tests per subskill. One hundred and thirty-three adults (42 males and 91 females) aged between 18 and 50 (M = 29.68, SD = 7.46) completed a cognitive test battery comprising 20 EF tests. AC revealed a good fitting model χ2(2) = 1.61, p = .447, RMSEA = 0.000, CFI = 1.000, after removing the non-significant indicator Map Search (p = .349), and BS-Bk as BS-Bk was required to covary with both BS-Fwd (M.I = 7.160, Par Change = .706), and TMT-A (M.I = 5.759, Par Change = -2.417). CF revealed a good fitting model χ2(8) = 2.90, p = .940, RMSEA = 0.000, CFI = 1.000 after covarying TSC-E and Stroop (M.I = 9.696, Par Change = .085). IP revealed a good fitting model χ2(4) = 1.15, p = .886, RMSEA = 0.000, CFI = 1.000 after covarying Animals total and FAS total (M.I. = 4.619, Par Change = 9.068). Lastly, GS indicated a good fitting model χ2(8) = 7.22, p = .513, RMSEA = 0.000, CFI = 1.000 after covarying TOH total time and PA (M.I = 4.25, Par Change = -77.868). Therefore, all four constructs were reliable and valid, and the utility of a parsimonious EF battery is suggested. Investigation of the inter-relationships between the constructs using regression techniques, de-emphasises the role of Attentional Control and argue instead for capacity bound skills.
Collapse
|
4
|
Lakkireddy SP, Balachander S, Dayalamurthy P, Bhattacharya M, Joseph MS, Kumar P, Kannampuzha AJ, Mallappagari S, Narayana S, Alexander AC, Muthukumaran M, Sheth S, Puzhakkal JC, Ramesh V, Thatikonda NS, Selvaraj S, Ithal D, Sreeraj VS, Mahadevan J, Holla B, Venkatasubramanian G, John JP, Murthy P, Benegal V, Reddy YCJ, Jain S, Viswanath B. Neurocognition and its association with adverse childhood experiences and familial risk of mental illness. Prog Neuropsychopharmacol Biol Psychiatry 2022; 119:110620. [PMID: 35995305 PMCID: PMC7615105 DOI: 10.1016/j.pnpbp.2022.110620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 08/14/2022] [Accepted: 08/16/2022] [Indexed: 11/30/2022]
Abstract
Environmental factors such as adverse childhood experiences (ACEs) may affect neurocognition, an endophenotype for several mental illnesses. This study examines the effect of ACEs on neurocognitive performance in first-degree relatives (FDRs) of patients with severe mental illness to determine whether familial risk has a moderating effect on the relationship between ACEs and neurocognition. Unaffected FDRs from multiplex families with severe mental illnesses (schizophrenia, bipolar disorder, obsessive-compulsive disorder, or alcohol use disorder) (n = 324) and healthy controls (with no familial risk) (n = 188) underwent neurocognitive tests for processing speed, new learning, working memory and Theory of Mind. ACEs were measured using the WHO ACE-International Questionnaire (ACE-IQ). Regression models were done to predict each neurocognitive domain by the effect of familial risk, ACE-IQ Score and their interaction (familial risk*ACE-IQ score). The main effect of familial risk predicted poor performance in all domains of neurocognition (p < 0.01), and the interaction had a negative association with global neurocognition (β = -0.093, p = 0.009), processing speed (β = -0.109, p = 0.003) and working memory (β = -0.092, p = 0.01). Among the ACEs sub-domains, only maltreatment (specifically the main effect of physical neglect and the interaction effect of sexual abuse with familial risk) predicted poorer neurocognition. In FDRs of schizophrenia and bipolar disorder, only the main effects of familial risk were significantly associated with poorer neurocognition. We conclude that there is a relationship between ACEs (especially maltreatment) and neurocognitive functioning, which is moderated by the familial risk of mental illnesses. Genetic/familial vulnerability may have a stronger association with neurocognition in schizophrenia and bipolar disorder.
Collapse
Affiliation(s)
- Sai Priya Lakkireddy
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Srinivas Balachander
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India.
| | - Pavithra Dayalamurthy
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Mahashweta Bhattacharya
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Mino Susan Joseph
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Pramod Kumar
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Anand Jose Kannampuzha
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Sreenivasulu Mallappagari
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Shruthi Narayana
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Alen Chandy Alexander
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Moorthy Muthukumaran
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Sweta Sheth
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Joan C Puzhakkal
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Vinutha Ramesh
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Navya Spurthi Thatikonda
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Sowmya Selvaraj
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Dhruva Ithal
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Vanteemar S Sreeraj
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Jayant Mahadevan
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Bharath Holla
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Ganesan Venkatasubramanian
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - John P John
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Pratima Murthy
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Vivek Benegal
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Y C Janardhan Reddy
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Sanjeev Jain
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India
| | - Biju Viswanath
- Accelerator program for Discovery in Brain disorders using Stem cells (ADBS), Department of Psychiatry, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, Karnataka, India.
| |
Collapse
|
5
|
Gerst EH, Cirino PT, Macdonald KT, Miciak J, Yoshida H, Woods SP, Gibbs MC. The Structure of Processing Speed in Children and its Impact on Reading. JOURNAL OF COGNITION AND DEVELOPMENT 2021; 22:84-107. [PMID: 33519305 PMCID: PMC7839965 DOI: 10.1080/15248372.2020.1862121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The present study had two aims. First, we set out to evaluate the structure of processing speed in children by comparing five alternative models: two conceptual models (a unitary model, a complexity model) and three methodological models (a stimulus material model, an output response model, and a timing modality model). Second, we then used the resulting models to predict multiple types of reading, a highly important developmental outcome, using other well-known predictors as covariates. Participants were 844 children enrolled in third through fifth grade in urban public elementary schools who received 16 measures of processing speed that varied in the above dimensions. A two-factor complexity model that differentiated between simple and complex processing speed was the preferred model and fit the data well. Both types of PS predicted reading fluency, and complex (but not simple) PS predicted single word reading and comprehension. Results offer insight to the structure of processing speed, its relation to closely related concepts (such as executive function), and provide nuance to the understanding of the way processing speed influences reading.
Collapse
|
6
|
Mateen BA, Boakye N, Sonabend R, Russell N, Saverino A. The role of impulsivity in neurorehabilitation: A prospective cohort study of a potential cognitive biomarker for fall risk? J Neuropsychol 2020; 15:379-395. [PMID: 33377618 DOI: 10.1111/jnp.12239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
BACKGROUND Executive dysregulation and impulsivity can both predispose individuals to risk-prone actions. Although the risk of falls is well established in people with poor executive function, its association to impulsivity is less clear. PURPOSE To describe and assess the prognostic capabilities of the relationship between impulsivity, executive function, functional capability, and falls in the in-patient neurorehabilitation population. MATERIALS AND METHODS A prospective cohort study in a 26-bed neurorehabilitation unit in London, recruiting 121 patients, of whom 94 were deemed eligible for inclusion. Cognitive-behavioural assessment was undertaken using the short (16-item) version of the Urgency-Premeditation-Perseverance-Sensation Seeking-Positive Urgency (UPPS) impulsive behaviour scale, and the Trail Making Test (TMT). Patients also underwent a functional assessment at admission and discharge using the UK Functional Independence and Assessment Measure tool (FIM + FAM). The main outcome of interest was falling during an in-patient episode, which are routinely recorded in a computerized registry of adverse incidents. RESULTS Measurements of impulsivity (based on the UPPS-Short form) and executive function (based on the Trail Making Test) were not found to be significantly associated with functional improvement, or risk of falling. Predictive modelling experiments demonstrated that neither of the aforementioned results were capable of identifying individuals at risk of falling more accurately than an informed guess. CONCLUSION Where impulsivity is present, measurement using structured tools such as the UPPS may be informative to guide individualized rehabilitation programmes; however, its usefulness as the basis of risk prediction models for falls is less likely given the results of this study.
Collapse
Affiliation(s)
- Bilal A Mateen
- Wolfson Neuro Rehabilitation Centre, St George's Hospital, London, UK.,Kings College Hospital, London, UK
| | - Ndidi Boakye
- Wolfson Neuro Rehabilitation Centre, St George's Hospital, London, UK
| | - Raphael Sonabend
- Department of Statistical Science, University College London, UK
| | - Noreen Russell
- Wolfson Neuro Rehabilitation Centre, St George's Hospital, London, UK
| | - Alessia Saverino
- Wolfson Neuro Rehabilitation Centre, St George's Hospital, London, UK.,Rehabilitation Unit, ICS Maugeri, Genoa, Italy
| |
Collapse
|
7
|
Trakoshis S, Ioannou M, Fanti K. The Factorial Structure of the Tower Test From the Delis-Kaplan Executive Function System: A Confirmatory Factor Analysis Study. Assessment 2020; 29:317-331. [PMID: 32964750 DOI: 10.1177/1073191120960812] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Tower of London (TOL) is a well-known, widely used task that captures executive function abilities. We examined the factorial structure and discriminant validity of three measures extracted from the Delis-Kaplan Executive Function System (D-KEFS) version of the TOL, namely the D-KEFS Tower Test, in 270 individuals from a publicly available release of the Enhanced Nathan Kline Institute-Rockland sample. Confirmatory factor analyses revealed a multidimensional three-factor solution of the measures extracted from the D-KEFS Tower Test; first-move-time, excess moves, and rule violations. This model was better than the unidimensional model, the two-factor model, the bifactor model and the model that included the total achievement scores. These results support the discriminant validity of the three latent factors, over their distinct relations to the total achievement score. The best fitting model was gender-invariant and age-variant. Overall, the multidimensionality of the measures extracted from the D-KEFS Tower Test reflects the need to use multiple metrics from this version of TOL to capture executive functions instead of a single score.
Collapse
Affiliation(s)
- Stavros Trakoshis
- Department of Psychology, University of Cyprus, Nicosia, Cyprus.,Laboratory of Autism and Neurodevelopmental Disorders, Center of Neuroscience and Cognitive Systems, University of Trento, Istituto Italiano di Tecnologia, Italy
| | - Myria Ioannou
- Department of Psychology, University of Cyprus, Nicosia, Cyprus
| | - Kostas Fanti
- Department of Psychology, University of Cyprus, Nicosia, Cyprus
| |
Collapse
|
8
|
Martin AK, Barker MS, Gibson EC, Robinson GA. Response initiation and inhibition and the relationship with fluid intelligence across the adult lifespan. Arch Clin Neuropsychol 2019; 36:231-242. [DOI: 10.1093/arclin/acz044] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 01/03/2019] [Accepted: 08/14/2019] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Cognitive processes associated with frontal lobe functioning are often termed “executive functions.” Two such processes are initiation and inhibition or the starting and stopping of responses. It has recently been claimed dysfunction of executive abilities can be explained by a single measure of fluid intelligence. Here, we test this claim, specifically for the executive abilities of response initiation and inhibition, across the healthy lifespan.
Method
In a cohort of 336 healthy adults (18–89 years), initiation and inhibition were assessed with the Hayling test, Stroop test, and phonemic and semantic verbal fluency. All participants also completed a measure of fluid intelligence. The relationship between fluid intelligence and executive measures was explored across the lifespan using a continuous approach. Mediation models were computed to assess whether age-related decline across the four initiation/inhibition tasks could be fully explained by a single measure of fluid intelligence.
Results
Age was negatively correlated with response initiation/inhibition and fluid intelligence. The mediation analyses identified only partial mediation of fluid intelligence for age and Hayling performance. By contrast, fluid intelligence did not mediate performance on the Stroop test or phonemic and semantic verbal fluency.
Conclusions
Response initiation/inhibition are not able to be explained by fluid intelligence. The results support a multifactorial theory of executive functions and provide evidence for the inclusion of multiple specific executive measures in a thorough neuropsychological assessment of age-related cognitive decline.
Collapse
Affiliation(s)
- A K Martin
- Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
- Department of Psychology, Durham University, Durham, UK
| | - M S Barker
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
- Taub Institute, Department of Neurology, Columbia University Medical Centre, New York, USA
| | - E C Gibson
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - G A Robinson
- Neuropsychology Research Unit, School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
- Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
| |
Collapse
|