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Landry A, Rouleau I, Desrochers V, Colucci E, Gravel V, Nguyen DK, Boucher O. Novel analogous tasks to assess material-specific memory impairments associated with temporal lobe epilepsy. Epilepsy Behav 2025; 166:110366. [PMID: 40088859 DOI: 10.1016/j.yebeh.2025.110366] [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] [Received: 09/29/2024] [Revised: 02/27/2025] [Accepted: 03/06/2025] [Indexed: 03/17/2025]
Abstract
Episodic memory tasks employing verbal material are generally sensitive to material-specific memory impairments in individuals with left mesial temporal lobe epilepsy (LTLE), whereas visuospatial memory tasks are less consistently failed by individuals with right mesial temporal lobe epilepsy (RTLE). A limitation of these tasks is the possibility for the examinee to use verbalization strategies when tested with visuospatial stimuli, and visualization strategies with verbal material. In this study, we aimed to develop two new analogous computerized recognition tasks to identify material-specific memory impairments, adapted from those previously developed in our lab: one using verbal material (i.e., pseudowords), and the other visuospatial material (i.e., pictures depicting similar landscapes of mountains, trees, and lakes). Each task consists of a 3-trial learning phase and delayed recognition trials after 30 min. and two weeks. After having established normative data for adults (N = 124), we assessed the ability of each task to detect material-specific memory impairments in patients who have had surgery for LTLE (n = 16) or RTLE (n = 12). Both tasks have good psychometric properties. The RTLE group showed significantly poorer performance on the visuospatial than on the verbal memory test on all trials. The LTLE group showed significantly poorer performance on the verbal than on the visuospatial memory test on delayed (30-min. and 2-week) recognition trials. Memory profile on delayed recognition trials was concordant with the lateralization of epilepsy surgery in 87.5% of LTLE and in 83.3% of the RTLE group. This study provides preliminary clinical validation for our novel tasks to detect material-specific memory impairments in individuals with temporal lobe epilepsy.
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Affiliation(s)
- Amélie Landry
- Département de psychologie, Université du Québec à Montréal (UQAM), Montréal, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada
| | - Isabelle Rouleau
- Département de psychologie, Université du Québec à Montréal (UQAM), Montréal, Canada; Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Département de Neurosciences, Faculté de Médecine, Université de Montréal, Montréal, Canada
| | | | - Emma Colucci
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Département de psychologie, Université de Montréal, Montréal, Canada
| | - Victoria Gravel
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada
| | - Dang Khoa Nguyen
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Département de Neurosciences, Faculté de Médecine, Université de Montréal, Montréal, Canada
| | - Olivier Boucher
- Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada; Département de psychologie, Université de Montréal, Montréal, Canada; Service de psychologie, Centre hospitalier de l'Université de Montréal (CHUM), Montréal, Canada.
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Raposo Pereira F, Chaumon M, Dubois B, Bakardjian H, Bahrami M, Habert MO, Andrade K, Younsi N, La Corte V, George N. Recognition memory decline is associated with the progression to prodromal Alzheimer's disease in asymptomatic at-risk individuals. J Neurol 2024; 272:70. [PMID: 39680203 DOI: 10.1007/s00415-024-12834-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 11/22/2024] [Accepted: 11/24/2024] [Indexed: 12/17/2024]
Abstract
Episodic memory (EM) alterations are a hallmark of Alzheimer's disease (AD). We assessed EM longitudinally in cognitively normal elders at-risk for AD (with subjective memory complaints), as a function of amyloid-β (Aβ) burden, neurodegeneration (N), and progression to prodromal AD. We stratified 264 INSIGHT-preAD study subjects in controls (Aβ-/N-), stable/N- or N + (Aβ +), and progressors/N- or N + (Aβ +) groups (progressors were included only until AD-diagnosis). We used linear mixed-effect models with Aβ and N status, or progression to AD as factors, to analyze behavioral performance in an old/new word-recognition task based on the free and cued selective reminding test (FCSRT). The controls and stable/N- groups showed near-ceiling accuracy and RT improvement across follow-up. The stable/N + group showed accuracy reduction and no RT improvement, i.e., Aβ + /N + cumulative effect. The progressors showed a marked performance decline. EM alterations may constitute early preclinical markers of progression to prodromal AD, while individuals are cognitively normal according to neuropsychological standards.
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Affiliation(s)
- Filipa Raposo Pereira
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, U 1127, CNRS, UMR 7225, AP-HP, CENIR, Centre MEG-EEG, Hôpital de La Pitié-Salpêtrière, 47 Boulevard de L'Hôpital, 75013, Paris, France.
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France.
| | - Maximilien Chaumon
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, U 1127, CNRS, UMR 7225, AP-HP, CENIR, Centre MEG-EEG, Hôpital de La Pitié-Salpêtrière, 47 Boulevard de L'Hôpital, 75013, Paris, France
| | - Bruno Dubois
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, U 1127, CNRS, UMR 7225, AP-HP, CENIR, Centre MEG-EEG, Hôpital de La Pitié-Salpêtrière, 47 Boulevard de L'Hôpital, 75013, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
- Department of Neurology, Centre of Excellence of Neurodegenerative Disease (CoEN), ICM, CIC Neurosciences, APHP, Hopital Pitie-Salpetriere, Sorbonne Universite, Paris, France
| | - Hovagim Bakardjian
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, U 1127, CNRS, UMR 7225, AP-HP, CENIR, Centre MEG-EEG, Hôpital de La Pitié-Salpêtrière, 47 Boulevard de L'Hôpital, 75013, Paris, France
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Mahsa Bahrami
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Marie-Odile Habert
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006, Paris, France
- AP-HP, Hôpital de la Pitié-Salpêtrière, Médecine Nucléaire, 75013, Paris, France
- Centre d'Acquisition et Traitement des Images (CATI), Paris, France
| | - Katia Andrade
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Nadjia Younsi
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
| | - Valentina La Corte
- Department of Neurology, Institute of Memory and Alzheimer's Disease (IM2A), Pitié-Salpêtrière University Hospital, AP-HP, Paris, France
- Laboratoire Mémoire Cerveau et Cognition (MC2Lab) EA 7536, Institut de Psychologie, Université Paris Cité, Boulogne-Billancourt, France
- Institut Universitaire de France, Paris, France
| | - Nathalie George
- Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, INSERM, U 1127, CNRS, UMR 7225, AP-HP, CENIR, Centre MEG-EEG, Hôpital de La Pitié-Salpêtrière, 47 Boulevard de L'Hôpital, 75013, Paris, France
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You M, Lindbergh CA, La Joie R, Paolillo EW, Saloner R, Diaz V, Cotter DL, Walters S, Altendahl M, Staffaroni AM, Kramer JH, Gaynor LS, Casaletto KB. Predicting brain atrophy and cognitive aging trajectories with baseline subjective cognitive concerns in cognitively normal older adults. Neurobiol Aging 2024; 143:1-9. [PMID: 39205367 DOI: 10.1016/j.neurobiolaging.2024.08.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 08/12/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024]
Abstract
Subjective cognitive concerns (SCC) are common even in cognitively normal older adults who lack objectively-detectable deficits on standard neuropsychological evaluation. The clinical relevance of these concerns, particularly considering the nature of concerns (e.g., memory versus non-memory), remains unclear. Thus, we examined whether baseline memory and non-memory SCC relate to longitudinal change in brain volume and neuropsychological test performance in 476 functionally-intact, objectively unimpaired older adults (Mage = 72y, 56 % female, follow-up time = 1 - 9 years). Mixed-effects models revealed that both higher baseline memory and non-memory SCC predicted greater atrophy in total gray matter and dorsolateral prefrontal cortex atrophy over time, while only memory SCC predicted steeper medial temporal lobe atrophy. Regarding neuropsychological performance, higher non-memory SCC predicted decline in processing speed performance, while memory SCC did not predict neuropsychological trajectories. SCC are a risk factor for more adverse brain and cognitive aging trajectories, even in functionally-intact, seemingly cognitively normal older adults.
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Affiliation(s)
- Michelle You
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Cutter A Lindbergh
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Renaud La Joie
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Emily W Paolillo
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Rowan Saloner
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Valentina Diaz
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Devyn L Cotter
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Samantha Walters
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Marie Altendahl
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Adam M Staffaroni
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
| | - Joel H Kramer
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA; Department of Psychiatry, University of California, San Francisco, CA, USA
| | - Leslie S Gaynor
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA.
| | - Kaitlin B Casaletto
- Memory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, CA, USA
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Best T, Miller J, Teo WP. Neurocognitive effects a combined polyphenolic-rich herbal extract in healthy middle-aged adults - a randomised, double-blind, placebo-controlled study. Nutr Neurosci 2024; 27:1293-1305. [PMID: 38512715 DOI: 10.1080/1028415x.2024.2325227] [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] [Indexed: 03/23/2024]
Abstract
Objective: This study assessed whether polyphenolic rich supplement containing Bacopa monnieri (BM: 300 mg), Panax quinquefolius ginseng (PQ: 100 mg) and whole coffee fruit extract (WCFE: 100 mg) could enhance cognitive performance, affect and cerebral-cortical activation over 28-days of intervention. Method: A randomised, double-blind, placebo-controlled, between-group study of 52 healthy adults between 35 and 65 years (M = 50.20, SD = 9.37) was conducted. Measures of cognition, affect and brain activity were measured at three time points: baseline, 28 days post intervention and 14 days post washout. At each time point, haemodynamic response in the prefrontal cortex (PFC) was measured using functional near-infrared spectroscopy (fNIRS), and serum brain-derived neurotrophic factor (BDNF). Results: The polyphenolic-rich supplement reliably improved positive affect and delayed recall compared to placebo following 28 days of supplementation. For the brain, those in the active condition showed greater PFC activation on performance of the 2-back tasks post supplementation compared to placebo (p < .05, d = 0.6). Discussion: This is the first report of a 28-day supplement intervention and 2-week follow-up study to assess changes in affect, cognition, cerebral haemodynamic response and BDNF in healthy middle-aged adults. The potential synergistic effects of polyphenolic compounds on neurocognitive function in middle-aged adults through emotional-cognitive processing and cognitive reserve are important for promoting brain and cognitive health.
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Affiliation(s)
- Talitha Best
- NeuroHealth Lab, Appleton InstituteSchool of Health, Medical and Applied ScienceCentral Queensland University, Brisbane, Australia
| | - Jessica Miller
- NeuroHealth Lab, Appleton InstituteSchool of Health, Medical and Applied ScienceCentral Queensland University, Brisbane, Australia
| | - Wei-Peng Teo
- NeuroHealth Lab, Appleton InstituteSchool of Health, Medical and Applied ScienceCentral Queensland University, Brisbane, Australia
- Physical Education and Sports Science Academic Group, National Institute of Education, Nanyang Technological University, Singapore, Singapore
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Lin YR, Chi CH, Chang YL. Differential decay of gist and detail memory in older adults with amnestic mild cognitive impairment. Cortex 2023; 164:112-128. [PMID: 37207409 DOI: 10.1016/j.cortex.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/19/2023] [Accepted: 04/11/2023] [Indexed: 05/21/2023]
Abstract
Amnestic mild cognitive impairment (aMCI) has been identified as a risk factor for dementia due to Alzheimer's disease. The medial temporal structures, which are crucial for memory processing, are the earliest affected regions in the brains of patients with aMCI, and episodic memory performance has been identified as a reliable way to discriminate between patients with aMCI and cognitively normal older adults. However, whether the detail and gist memory of patients with aMCI and cognitively normal older adults decay differently remains unclear. In this study, we hypothesized that detail and gist memory would be retrieved differentially, with a larger group performance gap in detail memory than in gist memory. In addition, we explored whether an increasing group performance gap between detail memory and gist memory groups would be observed over a 14-day period. Furthermore, we hypothesized that unisensory (audio-only) and multisensory (audiovisual) encoding would lead to differences in retrievals, with the multisensory condition reducing between and within-group performance gaps observed under the unisensory condition. The analyses conducted were analyses of covariance controlling for age, sex, and education and correlational analyses to examine behavioral performance and the association between behavioral data and brain variables. Compared with cognitively normal older adults, the patients with aMCI performed poorly on both detail and gist memory tests, and this performance gap persisted over time. Moreover, the memory performance of the patients with aMCI was enhanced by the provision of multisensory information, and bimodal input was significantly associated with medial temporal structure variables. Overall, our findings suggest that detail and gist memory decay differently, with a longer lasting group gap in gist memory than in detail memory. Multisensory encoding effectively reduced or overcame the between- and within-group gaps between time intervals, especially for gist memory, compared with unisensory encoding.
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Affiliation(s)
- Yu-Ruei Lin
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Chia-Hsing Chi
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan
| | - Yu-Ling Chang
- Department of Psychology, College of Science, National Taiwan University, Taipei, Taiwan; Department of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei, Taiwan; Neurobiology and Cognitive Science Center, National Taiwan University, Taipei, Taiwan; Center for Artificial Intelligence and Advanced Robotics, National Taiwan University, Taipei, Taiwan.
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Zimmerman SC, Brenowitz WD, Calmasini C, Ackley SF, Graff RE, Asiimwe SB, Staffaroni AM, Hoffmann TJ, Glymour MM. Association of Genetic Variants Linked to Late-Onset Alzheimer Disease With Cognitive Test Performance by Midlife. JAMA Netw Open 2022; 5:e225491. [PMID: 35377426 PMCID: PMC8980909 DOI: 10.1001/jamanetworkopen.2022.5491] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
IMPORTANCE Identifying the youngest age when Alzheimer disease (AD) influences cognition and the earliest affected cognitive domains will improve understanding of the natural history of AD and approaches to early diagnosis. OBJECTIVE To evaluate the age at which cognitive differences between individuals with higher compared with lower genetic risk of AD are first apparent and which cognitive assessments show the earliest difference. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study used data from UK Biobank participants of European genetic ancestry, aged 40 years or older, who contributed genotypic and cognitive test data from January 1, 2006, to December 31, 2015. Data analysis was performed from March 10, 2020, to January 4, 2022. EXPOSURE The AD genetic risk score (GRS), which is a weighted sum of 23 single-nucleotide variations. MAIN OUTCOMES AND MEASURES Seven cognitive tests were administered via touchscreen at in-person visits or online. Cognitive domains assessed included fluid intelligence, episodic memory, processing speed, executive functioning, and prospective memory. Multiple cognitive measures were derived from some tests, yielding 32 separate measures. Interactions between age and AD-GRS for each of the 32 cognitive measures were tested with linear regression using a Bonferroni-corrected P value threshold. For cognitive measures with significant evidence of age by AD-GRS interaction, the youngest age of interaction was assessed with new regression models, with nonlinear specification of age terms. Models with youngest age of interaction from 40 to 70 years, in 1-year increments, were compared, and the best-fitting model for each cognitive measure was chosen. Results across cognitive measures were compared to determine which cognitive indicators showed earliest AD-related change. RESULTS A total of 405 050 participants (mean [SD] age, 57.1 [7.9] years; 54.1% female) were included. Sample sizes differed across cognitive tests (from 12 455 to 404 682 participants). The AD-GRS significantly modified the association with age on 13 measures derived from the pairs matching (range in difference in mean cognition per decade increase in age for 1-SD higher AD-GRS, 2.5%-11.5%), symbol digit substitution (range in difference in mean cognition per decade increase in age for 1-SD higher AD-GRS, 2.0%-5.8%), and numeric memory tests (difference in mean cognition per decade increase in age for 1-SD higher AD-GRS, 8.8%) (P = 1.56 × 10-3). Best-fitting models suggested that cognitive scores of individuals with a high vs low AD-GRS began to diverge by 56 years of age for all 13 measures and by 47 years of age for 9 measures. CONCLUSIONS AND RELEVANCE In this cross-sectional study, by early midlife, subtle differences in memory and attention were detectable among individuals with higher genetic risk of AD.
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Affiliation(s)
- Scott C. Zimmerman
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Willa D. Brenowitz
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco
| | - Camilla Calmasini
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Sarah F. Ackley
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Rebecca E. Graff
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Stephen B. Asiimwe
- Department of Epidemiology and Biostatistics, University of California, San Francisco
| | - Adam M. Staffaroni
- Weill Institute for Neurosciences, Department of Neurology, Memory and Aging Center, University of California, San Francisco
| | - Thomas J. Hoffmann
- Department of Epidemiology and Biostatistics, University of California, San Francisco
- Institute for Human Genetics, University of California, San Francisco
| | - M. Maria Glymour
- Department of Epidemiology and Biostatistics, University of California, San Francisco
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