1
|
Heikkinen AL, Tikkanen V, Hänninen T, Hublin C, Koivisto AM, Saari TT, Remes AM, Paajanen TI, Krüger J. Utility of the INECO Frontal Screening and the Frontal Assessment Battery in detecting executive dysfunction in early-onset cognitive impairment and dementia. J Int Neuropsychol Soc 2024; 30:339-349. [PMID: 37800312 DOI: 10.1017/s1355617723000619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/07/2023]
Abstract
OBJECTIVE The INECO Frontal Screening (IFS) and the Frontal Assessment Battery (FAB) are executive dysfunction (ED) screening tools that can distinguish patients with neurodegenerative disorders from healthy controls and, to some extent, between dementia subtypes. This paper aims to examine the suitability of these tests in assessing early-onset cognitive impairment and dementia patients. METHOD In a memory clinic patient cohort (age mean = 57.4 years) with symptom onset at ≤65 years, we analyzed the IFS and the FAB results of four groups: early-onset dementia (EOD, n = 49), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes such as depression (MCI-o, n = 99) and subjective cognitive decline (SCD, n = 14). Data were gathered at baseline and at 6 and 12 months. We also studied the tests' accuracy in distinguishing EOD from SCD patients and ED patients from those with intact executive functioning. Correlations with neuropsychological measures were also studied. RESULTS The EOD group had significantly (p < .05) lower IFS and FAB total scores than the MCI-o and SCD groups. Compared with the FAB, the IFS showed more statistically significant (p < .05) differences between diagnostic groups, greater accuracy (IFS AUC = .80, FAB AUC = .75, p = .036) in detecting ED and marginally stronger correlations with neuropsychological measures. We found no statistically significant differences in the EOD group scores from baseline up to 6- or 12-months follow-up. CONCLUSIONS While both tests can detect EOD among memory clinic patients, the IFS may be more reliable in detecting ED than the FAB.
Collapse
Affiliation(s)
- Anna-Leena Heikkinen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Veera Tikkanen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Tuomo Hänninen
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Christer Hublin
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Koivisto
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Toni T Saari
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Teemu I Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Johanna Krüger
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| |
Collapse
|
2
|
Tikkanen V, Krüger J, Heikkinen AL, Hänninen T, Hublin C, Koivisto AM, Virkkala J, Saari TT, Remes AM, Paajanen TI. A Novel Computerized Flexible Attention Test in Detecting Executive Dysfunction of Patients with Early-Onset Cognitive Impairment and Dementia. Arch Clin Neuropsychol 2024:acae026. [PMID: 38581151 DOI: 10.1093/arclin/acae026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 01/06/2024] [Accepted: 03/18/2024] [Indexed: 04/08/2024] Open
Abstract
OBJECTIVE The number of computer-based cognitive tests has increased in recent years, but there is a need for tests focusing on the assessment of executive function (EF), as it can be crucial for the identification of early-onset neurodegenerative disorders. This study aims to examine the ability of the Flexible Attention Test (FAT), a new computer-based test battery for detecting executive dysfunction of early-onset cognitive impairment and dementia patients. METHOD We analyzed the FAT subtask results in memory clinic patients with cognitive symptom onset at ≤65 years. The patients were divided into four groups: early onset dementia (EOD, n = 48), mild cognitive impairment due to neurological causes (MCI-n, n = 34), MCI due to other causes (MCI-o, n = 99), and subjective cognitive decline (SCD, n = 14). The test accuracy to distinguish EOD patients from other groups was examined, as well as correlations with pen-and-paper EF tests. We also reported the 12-months follow-up results. RESULTS The EOD and MCI-n patients performed significantly poorer (p ≤ .002) than those in the MCI-o and SCD groups in most of the FAT subtasks. The accuracies of the FAT subtasks to detect EOD from other causes were mainly moderate (0.34 ≤ area under the curve < 0.74). The FAT subtasks correlated logically with corresponding pen-and-paper EF tests (.15 ≤ r ≤ .75). No systematic learning effects were detected in the FAT performance at follow-up. CONCLUSIONS The FAT appears to be a promising method for the precise evaluation of EF and applicable distinguishing early-onset neurodegenerative disorders from patients with other causes of cognitive problems.
Collapse
Affiliation(s)
- Veera Tikkanen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Johanna Krüger
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
| | - Anna-Leena Heikkinen
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Tuomo Hänninen
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Christer Hublin
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Koivisto
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Geriatrics, Helsinki University Hospital, Helsinki, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Jussi Virkkala
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
- Clinical Neurophysiology and Clinical Neurosciences, HUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Toni T Saari
- Neurocenter, Neurology, Kuopio University Hospital, Kuopio, Finland
- Unit of Neurology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Anne M Remes
- Research Unit of Clinical Medicine, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
- Neurocenter, Neurology, Oulu University Hospital, Oulu, Finland
- Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Teemu I Paajanen
- Work Ability and Working Careers Unit, Finnish Institute of Occupational Health, Helsinki, Finland
| |
Collapse
|
3
|
Esposito S, Trojsi F, Cirillo G, de Stefano M, Di Nardo F, Siciliano M, Caiazzo G, Ippolito D, Ricciardi D, Buonanno D, Atripaldi D, Pepe R, D’Alvano G, Mangione A, Bonavita S, Santangelo G, Iavarone A, Cirillo M, Esposito F, Sorbi S, Tedeschi G. Repetitive Transcranial Magnetic Stimulation (rTMS) of Dorsolateral Prefrontal Cortex May Influence Semantic Fluency and Functional Connectivity in Fronto-Parietal Network in Mild Cognitive Impairment (MCI). Biomedicines 2022; 10:biomedicines10050994. [PMID: 35625731 PMCID: PMC9138229 DOI: 10.3390/biomedicines10050994] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 04/17/2022] [Accepted: 04/20/2022] [Indexed: 12/28/2022] Open
Abstract
Repetitive transcranial magnetic stimulation (rTMS) is a noninvasive neuromodulation technique that is increasingly used as a nonpharmacological intervention against cognitive impairment in Alzheimer’s disease (AD) and other dementias. Although rTMS has been shown to modify cognitive performances and brain functional connectivity (FC) in many neurological and psychiatric diseases, there is still no evidence about the possible relationship between executive performances and resting-state brain FC following rTMS in patients with mild cognitive impairment (MCI). In this preliminary study, we aimed to evaluate the possible effects of rTMS of the bilateral dorsolateral prefrontal cortex (DLPFC) in 27 MCI patients randomly assigned to two groups: one group received high-frequency (10 Hz) rTMS (HF-rTMS) for four weeks (n = 11), and the other received sham stimulation (n = 16). Cognitive and psycho-behavior scores, based on the Repeatable Battery for the Assessment of Neuropsychological Status, Beck Depression Inventory-II, Beck Anxiety Inventory, Apathy Evaluation Scale, and brain FC, evaluated by independent component analysis of resting state functional MRI (RS-fMRI) networks, together with the assessment of regional atrophy measures, evaluated by whole-brain voxel-based morphometry (VBM), were measured at baseline, after five weeks, and six months after rTMS stimulation. Our results showed significantly increased semantic fluency (p = 0.026) and visuo-spatial (p = 0.014) performances and increased FC within the salience network (p ≤ 0.05, cluster-level corrected) at the short-term timepoint, and increased FC within the left fronto-parietal network (p ≤ 0.05, cluster-level corrected) at the long-term timepoint, in the treated group but not in the sham group. Conversely, regional atrophy measures did not show significant longitudinal changes between the two groups across six months. Our preliminary findings suggest that targeting DLPFC by rTMS application may lead to a significant long-term increase in FC in MCI patients in a RS network associated with executive functions, and this process might counteract the progressive cortical dysfunction affecting this domain.
Collapse
Affiliation(s)
- Sabrina Esposito
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Francesca Trojsi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
- Correspondence: ; Tel.: +39-08-1566-5659
| | - Giovanni Cirillo
- Division of Human Anatomy, Laboratory of Morphology of Neuronal Networks & Systems Biology, Department of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, 80138 Naples, Italy;
| | - Manuela de Stefano
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Federica Di Nardo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Mattia Siciliano
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Giuseppina Caiazzo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Domenico Ippolito
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Dario Ricciardi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Daniela Buonanno
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Danilo Atripaldi
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Roberta Pepe
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Giulia D’Alvano
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
| | - Antonella Mangione
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Gabriella Santangelo
- Department of Psychology, University of Campania Luigi Vanvitelli, 81100 Caserta, Italy;
| | - Alessandro Iavarone
- Neurological Unit, CTO Hospital, AORN Ospedali Dei Colli, 80131 Naples, Italy;
| | - Mario Cirillo
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Fabrizio Esposito
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| | - Sandro Sorbi
- IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy;
- Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50134 Florence, Italy
| | - Gioacchino Tedeschi
- First Division of Neurology, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (S.E.); (M.d.S.); (D.I.); (D.R.); (D.B.); (G.D.); (G.T.)
- Department of Advanced Medical and Surgical Sciences, MRI Research Center SUN-FISM, Università degli Studi della Campania Luigi Vanvitelli, 80138 Naples, Italy; (F.D.N.); (M.S.); (G.C.); (D.A.); (R.P.); (A.M.); (S.B.); (M.C.); (F.E.)
| |
Collapse
|
4
|
Lydon EA, Nguyen LT, Shende SA, Chiang HS, Spence JS, Mudar RA. EEG theta and alpha oscillations in early versus late mild cognitive impairment during a semantic Go/NoGo task. Behav Brain Res 2022; 416:113539. [PMID: 34416304 DOI: 10.1016/j.bbr.2021.113539] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 11/02/2022]
Abstract
Amnestic mild cognitive impairment (aMCI) is marked by episodic memory deficits, which can be used to classify individuals into early MCI (EMCI) and late MCI (LMCI). Although mounting evidence suggests that individuals with aMCI have additional cognitive alterations including deficits in cognitive control, few have examined if EMCI and LMCI differ on processes other than episodic memory. Using a semantic Go/NoGo task, we examined differences in cognitive control between EMCI and LMCI on behavioral (accuracy and reaction time) and neural (scalp-recorded event-related oscillations in theta and alpha band) measures. Although no behavioral differences were observed between the EMCI and LMCI groups, differences in neural oscillations were observed. The LMCI group had higher theta synchronization on Go trials at central electrodes compared to the EMCI group. In addition, the EMCI group showed differences in theta power at central electrodes and alpha power at central and centro-parietal electrodes between Go and NoGo trials, while the LMCI group did not exhibit such differences. These findings suggest that while behavioral differences may not be observable, neural changes underlying cognitive control processes may differentiate EMCI and LMCI stages and may be useful to understand the trajectory of aMCI in future studies.
Collapse
Affiliation(s)
- Elizabeth A Lydon
- Department of Speech and Hearing Science, University of Illinois Urbana-Champaign, 901 South 6th Street, Champaign, IL, 61820, United States
| | - Lydia T Nguyen
- Neuroscience Program, University of Illinois Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801, United States
| | - Shraddha A Shende
- Department of Speech and Hearing Science, University of Illinois Urbana-Champaign, 901 South 6th Street, Champaign, IL, 61820, United States
| | - Hsueh-Sheng Chiang
- Department of Neurology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, United States; School of Behavioral and Brain Sciences, The University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX, United States
| | - Jeffrey S Spence
- Center for BrainHealth, The University of Texas at Dallas, 2200 West Mockingbird Ln, Dallas, TX, United States
| | - Raksha A Mudar
- Department of Speech and Hearing Science, University of Illinois Urbana-Champaign, 901 South 6th Street, Champaign, IL, 61820, United States; Neuroscience Program, University of Illinois Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL, 61801, United States.
| |
Collapse
|
5
|
Geng Z, Wu X, Wang L, Zhou S, Tian Y, Wang K, Wei L. Reduced delayed reward selection by Alzheimer’s disease and mild cognitive impairment patients during intertemporal decision-making. J Clin Exp Neuropsychol 2020; 42:298-306. [PMID: 31914851 DOI: 10.1080/13803395.2020.1711873] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Zhi Geng
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xingqi Wu
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Lu Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Shanshan Zhou
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Kai Wang
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Hefei, China
| | - Ling Wei
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Centre of Neuropsychiatric Disorders and Mental Health, Hefei, China
| |
Collapse
|
6
|
Gonzalez CLR, van Rootselaar NA, Gibb RL. Sensorimotor lateralization scaffolds cognitive specialization. PROGRESS IN BRAIN RESEARCH 2018; 238:405-433. [PMID: 30097202 DOI: 10.1016/bs.pbr.2018.06.011] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
In this chapter, we review hemispheric differences for sensorimotor function and cognitive abilities. Specifically, we examine the left-hemisphere specialization for visuomotor control and its interplay with language, executive function, and musical training. Similarly, we discuss right-hemisphere lateralization for haptic processing and its relationship to spatial and numerical processing. We propose that cerebral lateralization for sensorimotor functions served as a foundation for the development of higher cognitive abilities and their hemispheric functional specialization. We further suggest that sensorimotor and cognitive functions are inextricably linked. Based on the studies discussed in this chapter our view is that sensorimotor control serves as a loom upon which the fibers of language, executive function, spatial, and numerical processing are woven together to create the fabric of cognition.
Collapse
Affiliation(s)
- Claudia L R Gonzalez
- The Brain in Action Laboratory, Department of Kinesiology, University of Lethbridge, Lethbridge, AB, Canada; Department of Neuroscience, Canadian Centre for Behavioral Neuroscience, University of Lethbridge, Lethbridge, AB, Canada.
| | - Nicole A van Rootselaar
- The Brain in Action Laboratory, Department of Kinesiology, University of Lethbridge, Lethbridge, AB, Canada; Department of Neuroscience, Canadian Centre for Behavioral Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
| | - Robbin L Gibb
- Department of Neuroscience, Canadian Centre for Behavioral Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
| |
Collapse
|