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Balart-Sánchez SA, Bittencourt M, van der Naalt J, Maurits NM. Lower cognitive reserve is related to worse working memory performance in older adults after mTBI. An ERP study. Brain Inj 2024; 38:550-558. [PMID: 38481123 DOI: 10.1080/02699052.2024.2328307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/05/2024] [Indexed: 05/15/2024]
Abstract
OBJECTIVE Older adults (OA) after mild traumatic brain injury (mTBI) have a high risk of developing persistent post-injury cognitive impairments. Lower pre-morbid cognitive reserve (CR) is increasingly investigated as a risk factor for cognitive dysfunction in OA. However, how CR protects against effects of mTBI at the brain level remains largely understudied. METHODS We examined 22 OA who sustained mTBI (mean 67.69 years, SD 5.11) in the sub-acute phase and 15 age- and CR-matched healthy OA (mean 68 years, SD 5.55) performing a three-level visual N-back task using electroencephalography. We calculated inverse efficiency scores of performance from accuracy and reaction times. Event-related potentials served as neurocognitive correlates of attentional (P2) and working memory (P3) processing. RESULTS Overall, mTBI OA performed worse than healthy OA (p = 0.031). Lower CR generally decreased performance (p < 0.001). Furthermore, with increasing task difficulty, task performance was more affected by CR (p = 0.004). At the brain level, P2 amplitude was lower in mTBI OA than in healthy OA (p = 0.05). There was no clear effect of CR on P2 or P3 measures. CONCLUSION As mTBI OA with lower CR performed worse on a working-memory task, lower CR may be a risk factor for worse recovery after mTBI in this group.
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Affiliation(s)
- S A Balart-Sánchez
- Department of Neurology, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Research School of Behavioural and Cognitive Neurosciences (BCN), University of Groningen, Groningen, The Netherlands
| | - M Bittencourt
- Department of Neurology, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Research School of Behavioural and Cognitive Neurosciences (BCN), University of Groningen, Groningen, The Netherlands
| | - J van der Naalt
- Department of Neurology, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Research School of Behavioural and Cognitive Neurosciences (BCN), University of Groningen, Groningen, The Netherlands
| | - N M Maurits
- Department of Neurology, University of Groningen, University Medical Center Groningen (UMCG), Groningen, The Netherlands
- Research School of Behavioural and Cognitive Neurosciences (BCN), University of Groningen, Groningen, The Netherlands
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2
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Tanaka M, Battaglia S, Giménez-Llort L, Chen C, Hepsomali P, Avenanti A, Vécsei L. Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry. Cells 2024; 13:790. [PMID: 38786014 PMCID: PMC11120114 DOI: 10.3390/cells13100790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Abstract
Translational research in neurological and psychiatric diseases is a rapidly advancing field that promises to redefine our approach to these complex conditions [...].
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Affiliation(s)
- Masaru Tanaka
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
| | - Simone Battaglia
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Department of Psychology, University of Turin, 10124 Turin, Italy
| | - Lydia Giménez-Llort
- Institut de Neurociències, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain;
- Department of Psychiatry & Forensic Medicine, Faculty of Medicine, Campus Bellaterra, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, 08193 Barcelona, Spain
| | - Chong Chen
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Yamaguchi 755-8505, Japan;
| | - Piril Hepsomali
- School of Psychology and Clinical Language Sciences, University of Reading, Reading RG6 6ET, UK;
| | - Alessio Avenanti
- Center for Studies and Research in Cognitive Neuroscience, Department of Psychology “Renzo Canestrari”, Cesena Campus, Alma Mater Studiorum Università di Bologna, 47521 Cesena, Italy;
- Neuropsychology and Cognitive Neuroscience Research Center (CINPSI Neurocog), Universidad Católica del Maule, Talca 3460000, Chile
| | - László Vécsei
- HUN-REN-SZTE Neuroscience Research Group, Hungarian Research Network, University of Szeged (HUN-REN-SZTE), Danube Neuroscience Research Laboratory, Tisza Lajos krt. 113, H-6725 Szeged, Hungary;
- Department of Neurology, Albert Szent-Györgyi Medical School, University of Szeged, Semmelweis u. 6, H-6725 Szeged, Hungary
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3
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Pinto JO, Peixoto B, Dores AR, Barbosa F. Measures of cognitive reserve: An umbrella review. Clin Neuropsychol 2024; 38:42-115. [PMID: 37073431 DOI: 10.1080/13854046.2023.2200978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 04/04/2023] [Indexed: 04/20/2023]
Abstract
Objective: Recently, there has been a growing interest in operationalizing and measuring cognitive reserve (CR) for clinical and research purposes. This umbrella review aims to summarize the existing systematic and meta-analytic reviews about measures of CR. Method: A literature search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and the guidelines of Aromataris et al. (2015) to identify the systematic reviews and meta-analysis involving the assessment of CR. The methodological quality of the papers included in this umbrella review was assessed with A Measurement Tool to Assess Systematic Reviews 2 (AMSTAR-2) and Specialist Unit for Review Evidence (SURE). Results: Thirty-one reviews were identified, sixteen of which were systematic reviews, and fifteen were meta-analyses. Most of the reviews had a critically low quality, according to AMSTAR-2. The reviews included between two and 135 studies. Most of the papers focused on older adults, mainly those with dementia. CR was measured using one to six proxies, but most considered each proxy separately. The most assessed proxies of CR were education on its own, combined with occupation and/or engagement in activities or combined with parental education, bilingualism, and engagement in activities when four CR proxies were studied. Most of the studies included in higher quality reviews focused on three proxies, with education and engagement in activities being the most evaluated using CR questionnaires. Conclusion: Despite the growing interest in measuring CR, its operationalization did not improve since the last umbrella review in this field.
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Affiliation(s)
- Joana O Pinto
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
- ESS, Polytechnic of Porto, Porto, Portugal
- CESPU, University Institute of Health Sciences, Gandra, Portugal
| | - Bruno Peixoto
- CESPU, University Institute of Health Sciences, Gandra, Portugal
- NeuroGen - Center for Health Technology and Services Research (CINTESIS), Porto, Portugal
- TOXRUN - Toxicology Research Unit, University Institute of Health Sciences, CESPU, Gandra, Portugal
| | - Artemisa R Dores
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
- ESS, Polytechnic of Porto, Porto, Portugal
- Center for Rehabilitation Research, ESS, Polytechnic of Porto, Porto, Portugal
| | - Fernando Barbosa
- Laboratory of Neuropsychophysiology, Faculty of Psychology and Education Sciences, University of Porto, Porto, Portugal
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Ditzel FL, Hut SCA, van den Boogaard M, Boonstra M, Leijten FSS, Wils EJ, van Nesselrooij T, Kromkamp M, Rood PJT, Röder C, Bouvy PF, Coesmans M, Osse RJ, Pop-Purceleanu M, van Dellen E, Krulder JWM, Milisen K, Faaij R, Vondeling AM, Kamper AM, van Munster BC, de Jonghe A, Winters MAM, van der Ploeg J, van der Zwaag S, Koek DHL, Drenth-van Maanen CAC, Beishuizen A, van den Bos DM, Cahn W, Schuit E, Slooter AJC. DeltaScan for the Assessment of Acute Encephalopathy and Delirium in ICU and non-ICU Patients, a Prospective Cross-Sectional Multicenter Validation Study. Am J Geriatr Psychiatry 2023:S1064-7481(23)00499-2. [PMID: 38171949 DOI: 10.1016/j.jagp.2023.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/06/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
OBJECTIVES To measure the diagnostic accuracy of DeltaScan: a portable real-time brain state monitor for identifying delirium, a manifestation of acute encephalopathy (AE) detectable by polymorphic delta activity (PDA) in single-channel electroencephalograms (EEGs). DESIGN Prospective cross-sectional study. SETTING Six Intensive Care Units (ICU's) and 17 non-ICU departments, including a psychiatric department across 10 Dutch hospitals. PARTICIPANTS 494 patients, median age 75 (IQR:64-87), 53% male, 46% in ICUs, 29% delirious. MEASUREMENTS DeltaScan recorded 4-minute EEGs, using an algorithm to select the first 96 seconds of artifact-free data for PDA detection. This algorithm was trained and calibrated on two independent datasets. METHODS Initial validation of the algorithm for AE involved comparing its output with an expert EEG panel's visual inspection. The primary objective was to assess DeltaScan's accuracy in identifying delirium against a delirium expert panel's consensus. RESULTS DeltaScan had a 99% success rate, rejecting 6 of the 494 EEG's due to artifacts. Performance showed and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.86 (95% CI: 0.83-0.90) for AE (sensitivity: 0.75, 95%CI=0.68-0.81, specificity: 0.87 95%CI=0.83-0.91. The AUC was 0.71 for delirium (95%CI=0.66-0.75, sensitivity: 0.61 95%CI=0.52-0.69, specificity: 72, 95%CI=0.67-0.77). Our validation aim was an NPV for delirium above 0.80 which proved to be 0.82 (95%CI: 0.77-0.86). Among 84 non-delirious psychiatric patients, DeltaScan differentiated delirium from other disorders with a 94% (95%CI: 87-98%) specificity. CONCLUSIONS DeltaScan can diagnose AE at bedside and shows a clear relationship with clinical delirium. Further research is required to explore its role in predicting delirium-related outcomes.
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Affiliation(s)
- Fienke L Ditzel
- Department of Intensive Care Medicine and UMC Utrecht Brain Center (FLD, SCAH, MB, DMB, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
| | - Suzanne C A Hut
- Department of Intensive Care Medicine and UMC Utrecht Brain Center (FLD, SCAH, MB, DMB, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Mark van den Boogaard
- Department of Intensive Care Medicine (MB, PJTR), Radboud university medical center, Nijmegen, the Netherlands
| | - Michel Boonstra
- Department of Intensive Care Medicine and UMC Utrecht Brain Center (FLD, SCAH, MB, DMB, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Frans S S Leijten
- Department of Clinical Neurophysiology and UMC Utrecht Brain Center (FSSL), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Evert-Jan Wils
- Department of Intensive Care (E-JW), Franciscus Gasthuis & Vlietland, Rotterdam, the Netherlands
| | - Tim van Nesselrooij
- Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Marjan Kromkamp
- Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paul J T Rood
- Department of Intensive Care Medicine (MB, PJTR), Radboud university medical center, Nijmegen, the Netherlands; HAN University of Applied Sciences (PJTR), School of Health Studies, Research Department of Emergency and Critical Care, Nijmegen, the Netherlands
| | - Christian Röder
- Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Paul F Bouvy
- Department of Psychiatry (PFB, MC, RJO), Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Michiel Coesmans
- Department of Psychiatry (PFB, MC, RJO), Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Robert Jan Osse
- Department of Psychiatry (PFB, MC, RJO), Erasmus Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Monica Pop-Purceleanu
- Department of Psychiatry (MP-P), Radboud University Medical Center, Nijmegen, the Netherlands
| | - Edwin van Dellen
- Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology (ED, AJCS), UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
| | - Jaap W M Krulder
- Department of Geriatrics (JWMK), Franciscus Gasthuis&Vlietland, Rotterdam, the Netherlands
| | - Koen Milisen
- Department of Public Health and Primary Care (KM), Academic Center for Nursing and Midwifery, Katholieke Univerisiteit Leuven - University of Leuven, Leuven, Belgium; Department of Geriatric Medicine (KM), University Hospitals Leuven, Leuven, Belgium
| | - Richard Faaij
- Department of Geriatrics (RF, AMV), Diakonessenhuis, Utrecht, the Netherlands
| | - Ariël M Vondeling
- Department of Geriatrics (RF, AMV), Diakonessenhuis, Utrecht, the Netherlands
| | - Ad M Kamper
- Department of Geriatrics (AK, MAMW, JP, SZ), Isala, Zwolle, the Netherlands
| | - Barbara C van Munster
- Department of Internal Medicine/Geriatrics (BCM), University Center of Geriatric Medicine, University Medical Center of Groningen, Groningen, the Netherlands; Alzheimer Center Groningen (BCM), Groningen, the Netherlands
| | | | - Marian A M Winters
- Department of Geriatrics (AK, MAMW, JP, SZ), Isala, Zwolle, the Netherlands
| | | | | | - Dineke H L Koek
- Department of Geriatrics (DHLK, CACDM), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Clara A C Drenth-van Maanen
- Department of Geriatrics (DHLK, CACDM), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Albertus Beishuizen
- Department of Intensive Care Medicine (AB), Medical Spectrum Twente, Enschede, the Netherlands
| | - Deirdre M van den Bos
- Department of Intensive Care Medicine and UMC Utrecht Brain Center (FLD, SCAH, MB, DMB, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Wiepke Cahn
- Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Ewoud Schuit
- Julius Center for Health Sciences and Primary Care (ES), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Arjen J C Slooter
- Department of Intensive Care Medicine and UMC Utrecht Brain Center (FLD, SCAH, MB, DMB, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Psychiatry and UMC Utrecht Brain Center (TN, MK, CR, ED, WC, AJCS), University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands; Department of Neurology (ED, AJCS), UZ Brussel and Vrije Universiteit Brussel, Brussels, Belgium
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Cespón J, Chupina I, Carreiras M. Cognitive reserve counteracts typical neural activity changes related to ageing. Neuropsychologia 2023; 188:108625. [PMID: 37364777 DOI: 10.1016/j.neuropsychologia.2023.108625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/13/2023] [Accepted: 06/15/2023] [Indexed: 06/28/2023]
Abstract
Studies have shown that older adults with high Cognitive Reserve (HCR) exhibit better executive functioning than their low CR (LCR) counterparts. However, the neural processes linked to those differences are unclear. This study investigates (1) the neural processes underlying executive functions in older adults with HCR compared to older adults with LCR and (2) how executive control differences between HCR and LCR groups are modulated by increased task difficulty. We recruited 74 participants (37 in each group) with diverse CR levels, as determined by a standardised CR questionnaire. Participants performed two executive control tasks with lower and higher difficulty levels (i.e., Simon and spatial Stroop tasks, respectively) while recording the electroencephalogram. The accuracy on both tasks requiring inhibition of irrelevant information was better in the HCR than the LCR group. Also, in the task with higher difficulty level (i.e., the spatial Stroop task), event-related potential (ERP) latencies associated with inhibition (i.e., frontal N200) and updating of working memory (i.e., P300) were earlier in HCR than LCR. Moreover, the HCR, but not the LCR group, showed larger P300 amplitude in parietal than frontal regions and in the left than right hemisphere, suggesting a posterior to anterior shift of activity and loss of inter-hemispheric asymmetries in LCR participants. These results suggest that high CR counteracts neural activity changes related to ageing. Thus, high levels of CR may be related to maintenance of neural activity patterns typically observed in young adults rather than to deployment of neural compensatory mechanisms.
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Affiliation(s)
- Jesús Cespón
- BCBL Basque Center on Cognition, Brain, and Language, Mikeletegi Pasealekua, 69, Donostia/San Sebastián, 20009, Spain.
| | - Irina Chupina
- Radboud University, Donders Centre for Cognition, Thomas van Aquinostraat 4, 6525 GD, Nijmegen, the Netherlands
| | - Manuel Carreiras
- BCBL Basque Center on Cognition, Brain, and Language, Mikeletegi Pasealekua, 69, Donostia/San Sebastián, 20009, Spain; Ikerbasque. Basque Foundation for Science, Bilbao, Spain; University of the Basque Country (UPV/EHU). Bilbao, Spain
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Zhou H, Yan W, Xu J, Ma Y, Zuo G, Shi C. Allocation of cognitive resources in cognitive processing of rhythmic visual stimuli before gait-related motor initiation. Front Neurosci 2023; 17:1145051. [PMID: 37250401 PMCID: PMC10213455 DOI: 10.3389/fnins.2023.1145051] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 04/06/2023] [Indexed: 05/31/2023] Open
Abstract
Rhythmic visual cues can affect the allocation of cognitive resources during gait initiation (GI) and motor preparation. However, it is unclear how the input of rhythmic visual information modulates the allocation of cognitive resources and affects GI. The purpose of this study was to explore the effect of rhythmic visual cues on the dynamic allocation of cognitive resources by recording electroencephalographic (EEG) activity during exposure to visual stimuli. This study assessed event-related potentials (ERPs), event-related synchronization/desynchronization (ERS/ERD), and EEG microstates at 32 electrodes during presentation of non-rhythmic and rhythmic visual stimuli in 20 healthy participants. The ERP results showed that the amplitude of the C1 component was positive under exposure to rhythmic visual stimuli, while the amplitude of the N1 component was higher under exposure to rhythmic visual stimuli compared to their non-rhythmic counterparts. Within the first 200 ms of the onset of rhythmic visual stimuli, ERS in the theta band was highly pronounced in all brain regions analyzed. The results of microstate analysis showed that rhythmic visual stimuli were associated with an increase in cognitive processing over time, while non-rhythmic visual stimuli were associated with a decrease. Overall, these findings indicated that, under exposure to rhythmic visual stimuli, consumption of cognitive resources is lower during the first 200 ms of visual cognitive processing, but the consumption of cognitive resources gradually increases over time. After approximately 300 ms, cognitive processing of rhythmic visual stimuli consumes more cognitive resources than processing of stimuli in the non-rhythmic condition. This indicates that the former is more conducive to the completion of gait-related motor preparation activities, based on processing of rhythmic visual information during the later stages. This finding indicates that the dynamic allocation of cognitive resources is the key to improving gait-related movement based on rhythmic visual cues.
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Affiliation(s)
- Huilin Zhou
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Ningbo Cixi Institute of Biomedical Engineering, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Wenfeng Yan
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Ningbo Cixi Institute of Biomedical Engineering, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, Zhejiang, China
| | - Jialin Xu
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Ningbo Cixi Institute of Biomedical Engineering, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Yehao Ma
- Robotics Institute, Ningbo University of Technology, Ningbo, Zhejiang, China
| | - Guokun Zuo
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Ningbo Cixi Institute of Biomedical Engineering, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
| | - Changcheng Shi
- Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
- Ningbo Cixi Institute of Biomedical Engineering, Ningbo, Zhejiang, China
- Zhejiang Engineering Research Center for Biomedical Materials, Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo, Zhejiang, China
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7
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Devos H, Gustafson KM, Liao K, Ahmadnezhad P, Kuhlmann E, Estes BJ, Martin LE, Mahnken JD, Brooks WM, Burns JM. Effect of Cognitive Reserve on Physiological Measures of Cognitive Workload in Older Adults with Cognitive Impairments. J Alzheimers Dis 2023; 92:141-151. [PMID: 36710677 PMCID: PMC10023364 DOI: 10.3233/jad-220890] [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: 01/25/2023]
Abstract
BACKGROUND Cognitive reserve may protect against cognitive decline. OBJECTIVE This cross-sectional study investigated the association between cognitive reserve and physiological measures of cognitive workload in older adults with cognitive impairment. METHODS 29 older adults with cognitive impairment (age: 75±6, 11 (38%) women, MoCA: 20±7) and 19 with normal cognition (age: 74±6; 11 (58%) women; MoCA: 28±2) completed a working memory test of increasing task demand (0-, 1-, 2-back). Cognitive workload was indexed using amplitude and latency of the P3 event-related potential (ERP) at electrode sites Fz, Cz, and Pz, and changes in pupillary size, converted to an index of cognitive activity (ICA). The Cognitive Reserve Index questionnaire (CRIq) evaluated Education, Work Activity, and Leisure Time as a proxy of cognitive reserve. Linear mixed models evaluated the main effects of cognitive status, CRIq, and the interaction effect of CRIq by cognitive status on ERP and ICA. RESULTS The interaction effect of CRIq total score by cognitive status on P3 ERP and ICA was not significant. However, higher CRIq total scores were associated with lower ICA (p = 0.03). The interaction effects of CRIq subscores showed that Work Activity affected P3 amplitude (p = 0.03) and ICA (p = 0.03) differently between older adults with and without cognitive impairments. Similarly, Education affected ICA (p = 0.02) differently between the two groups. No associations were observed between CRIq and P3 latency. CONCLUSION Specific components of cognitive reserve affect cognitive workload and neural efficiency differently in older adults with and without cognitive impairments.
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Affiliation(s)
- Hannes Devos
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA.,University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Kathleen M Gustafson
- Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.,Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Ke Liao
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Pedram Ahmadnezhad
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Emily Kuhlmann
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Bradley J Estes
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, Kansas City, KS, USA
| | - Laura E Martin
- Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Population Health, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jonathan D Mahnken
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
| | - William M Brooks
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Neurology, University of Kansas Medical Center, Kansas City, KS, USA.,Hoglund Biomedical Imaging Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jeffrey M Burns
- University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, USA.,Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA
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8
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Ferrari-Díaz M, Bravo-Chávez RI, Silva-Pereyra J, Fernández T, García-Peña C, Rodríguez-Camacho M. Verbal intelligence and leisure activities are associated with cognitive performance and resting-state electroencephalogram. Front Aging Neurosci 2022; 14:921518. [PMID: 36268192 PMCID: PMC9577299 DOI: 10.3389/fnagi.2022.921518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 09/06/2022] [Indexed: 11/30/2022] Open
Abstract
Cognitive reserve (CR) is the adaptability of cognitive processes that helps to explain differences in the susceptibility of cognitive or daily functions to resist the onslaught of brain-related injury or the normal aging process. The underlying brain mechanisms of CR studied through electroencephalogram (EEG) are scarcely reported. To our knowledge, few studies have considered a combination of exclusively dynamic proxy measures of CR. We evaluated the association of CR with cognition and resting-state EEG in older adults using three of the most frequently used dynamic proxy measures of CR: verbal intelligence, leisure activities, and physical activities. Multiple linear regression analyses with the CR proxies as independent variables and cognitive performance and the absolute power (AP) on six resting-state EEG components (beta, alpha1, alpha2, gamma, theta, and delta) as outcomes were performed. Eighty-eight healthy older adults aged 60–77 (58 female) were selected from previous study data. Verbal intelligence was a significant positive predictor of perceptual organization, working memory, processing speed, executive functions, and central delta power. Leisure activities were a significant positive predictor of posterior alpha2 power. The dynamic proxy variables of CR are differently associated with cognitive performance and resting-state EEG. Implementing leisure activities and tasks to increase vocabulary may promote better cognitive performance through compensation or neural efficiency mechanisms.
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Affiliation(s)
- Martina Ferrari-Díaz
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Ricardo Iván Bravo-Chávez
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
| | - Juan Silva-Pereyra
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
- *Correspondence: Juan Silva-Pereyra,
| | - Thalía Fernández
- Departamento de Neurobiología Conductual y Cognitiva, Instituto de Neurobiología, Universidad Nacional Autónoma de México, Juriquilla, Mexico
| | - Carmen García-Peña
- Departamento de Investigación, Instituto Nacional de Geriatría, Ciudad de México, Mexico
| | - Mario Rodríguez-Camacho
- Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Tlalnepantla, Mexico
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Buján A, Sampaio A, Pinal D. Resting-state electroencephalographic correlates of cognitive reserve: Moderating the age-related worsening in cognitive function. Front Aging Neurosci 2022; 14:854928. [PMID: 36185469 PMCID: PMC9521492 DOI: 10.3389/fnagi.2022.854928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 08/08/2022] [Indexed: 11/23/2022] Open
Abstract
This exploratory study aimed to investigate the resting-state electroencephalographic (rsEEG) correlates of the cognitive reserve from a life span perspective. Current source density (CSD) and lagged-linear connectivity (LLC) measures were assessed to this aim. We firstly explored the relationship between rsEEG measures for the different frequency bands and a socio-behavioral proxy of cognitive reserve, the Cognitive Reserve Index (CRI). Secondly, we applied moderation analyses to assess whether any of the correlated rsEEG measures showed a moderating role in the relationship between age and cognitive function. Moderate negative correlations were found between the CRI and occipital CSD of delta and beta 2. Moreover, inter- and intrahemispheric LLC measures were correlated with the CRI, showing a negative association with delta and positive associations with alpha 1, beta 1, and beta 2. Among those correlated measures, just two rsEEG variables were significant moderators of the relationship between age and cognition: occipital delta CSD and right hemispheric beta 2 LLC between occipital and limbic regions. The effect of age on cognitive performance was stronger for higher values of both measures. Therefore, lower values of occipital delta CSD and lower beta 2 LLC between right occipital and limbic regions might protect or compensate for the effects of age on cognition. Results of this exploratory study might be helpful to allocate more preventive efforts to curb the progression of cognitive decline in adults with less CR, possibly characterized by these rsEEG parameters at a neural level. However, given the exploratory nature of this study, more conclusive work on these rsEEG measures is needed to firmly establish their role in the cognition–age relationship, for example, verifying if these measures moderate the relationship between brain structure and cognition.
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Griffa A, Legdeur N, Badissi M, van den Heuvel MP, Stam CJ, Visser PJ, Hillebrand A. Magnetoencephalography Brain Signatures Relate to Cognition and Cognitive Reserve in the Oldest-Old: The EMIF-AD 90 + Study. Front Aging Neurosci 2021; 13:746373. [PMID: 34899269 PMCID: PMC8656941 DOI: 10.3389/fnagi.2021.746373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/01/2021] [Indexed: 11/25/2022] Open
Abstract
The oldest-old subjects represent the fastest growing segment of society and are at high risk for dementia with a prevalence of up to 40%. Lifestyle factors, such as lifelong participation in cognitive and leisure activities, may contribute to individual cognitive reserve and reduce the risk for cognitive impairments. However, the neural bases underlying cognitive functioning and cognitive reserve in this age range are still poorly understood. Here, we investigate spectral and functional connectivity features obtained from resting-state MEG recordings in a cohort of 35 cognitively normal (92.2 ± 1.8 years old, 19 women) and 11 cognitively impaired (90.9 ± 1.9 years old, 1 woman) oldest-old participants, in relation to cognitive traits and cognitive reserve. The latter was approximated with a self-reported scale on lifelong engagement in cognitively demanding activities. Cognitively impaired oldest-old participants had slower cortical rhythms in frontal, parietal and default mode network regions compared to the cognitively normal subjects. These alterations mainly concerned the theta and beta band and partially explained inter-subject variability of episodic memory scores. Moreover, a distinct spectral pattern characterized by higher relative power in the alpha band was specifically associated with higher cognitive reserve while taking into account the effect of age and education level. Finally, stronger functional connectivity in the alpha and beta band were weakly associated with better cognitive performances in the whole group of subjects, although functional connectivity effects were less prominent than the spectral ones. Our results shed new light on the neural underpinnings of cognitive functioning in the oldest-old population and indicate that cognitive performance and cognitive reserve may have distinct spectral electrophysiological substrates.
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Affiliation(s)
- Alessandra Griffa
- Division of Neurology, Department of Clinical Neurosciences, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Center of Neuroprosthetics, Institute of Bioengineering, École Polytechnique Fédérale De Lausanne (EPFL), Geneva, Switzerland.,Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Nienke Legdeur
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Maryam Badissi
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Martijn P van den Heuvel
- Dutch Connectome Lab, Department of Complex Trait Genetics, Center for Neuroscience and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands
| | - Cornelis J Stam
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
| | - Pieter Jelle Visser
- Department of Neurology, Amsterdam Neuroscience, Alzheimer Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, Netherlands.,Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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