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Carbone C, Maramotti R, Balboni E, Beltrami D, Ballotta D, Bedin R, Gallingani C, Tondelli M, Salemme S, Gasparini F, Vinceti G, Marti A, Chiari A, Nocetti L, Pagnoni G, Zamboni G. Cognitive reserve in young-onset cognitive impairment. Brain Cogn 2025; 186:106297. [PMID: 40220626 DOI: 10.1016/j.bandc.2025.106297] [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: 02/25/2025] [Revised: 04/05/2025] [Accepted: 04/05/2025] [Indexed: 04/14/2025]
Abstract
Cognitive reserve (CR) reflects brain's resilience to pathology, enabling to maintain function despite structural damage. This study investigates its role in young-onset cognitive impairment (<65 years) beyond brain integrity and neurodegeneration. Participants underwent neuropsychological assessment - including the Cognitive Reserve Index questionnaire (CRIq) -, magnetic resonance imaging (MRI), and blood neurofilaments light-chain (NfLs) measurement. Scores of global cognition and domain-specific cognition were derived from Principal Component Analyses of neuropsychological results. Linear regression models estimated CR's contribution to global and domain-specific cognition, alongside age, sex, MRI measures, and NfLs as predictors. Among the 115 participants, global cognition was significantly explained by CR [effect size (ES) = 0.229], grey matter volume (ES = 0.348), and NfLs (ES = -0.302). The effect of CR was prominent on language and attentional-executive functions: while the CRIq subscore related to education predicted performance in both these domains, the subscore related to leisure activities was positively associated with the language domain only. These findings highlight CR's protective role in young-onset cognitive impairment, particularly for non-amnestic cognitive domains. Since a high CR can mask or compensate for neurological cognitive disorders delaying its diagnosis, our results suggest that measures of CR, including time spent on leisure activities, should be considered when interpreting neuropsychological tests.
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Affiliation(s)
- Chiara Carbone
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy.
| | - Riccardo Maramotti
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy; Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, via Giuseppe Campi 213/a, 41125 Modena, Italy.
| | - Erica Balboni
- Medical Physics Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Daniela Beltrami
- Clinical Neuropsychology Unit, Azienda Unità Sanitaria Locale of Reggio Emilia-IRCCS, viale Risorgimento 80, 42123 Reggio Emilia, Italy.
| | - Daniela Ballotta
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy.
| | - Roberta Bedin
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy.
| | - Chiara Gallingani
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy; Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Manuela Tondelli
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy; Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Simone Salemme
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy; Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Federico Gasparini
- Clinical Neuropsychology Unit, Azienda Unità Sanitaria Locale of Reggio Emilia-IRCCS, viale Risorgimento 80, 42123 Reggio Emilia, Italy.
| | - Giulia Vinceti
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Alessandro Marti
- Clinical Neuropsychology Unit, Azienda Unità Sanitaria Locale of Reggio Emilia-IRCCS, viale Risorgimento 80, 42123 Reggio Emilia, Italy.
| | - Annalisa Chiari
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Luca Nocetti
- Medical Physics Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
| | - Giuseppe Pagnoni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy.
| | - Giovanna Zamboni
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, via Giuseppe Campi 287, 41125 Modena, Italy; Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, via Giardini 1355, 41126 Modena, Italy.
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Espinosa N, Menczel Schrire Z, McKinnon AC, Almgren H, Mowszowski L, Naismith SL. Neurobiological effects of music-making interventions for older adults: a systematic review. Aging Clin Exp Res 2025; 37:113. [PMID: 40175615 PMCID: PMC11965234 DOI: 10.1007/s40520-025-03006-7] [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: 02/07/2025] [Accepted: 03/09/2025] [Indexed: 04/04/2025]
Abstract
BACKGROUND Evidence on the impact of music-making interventions on brain plasticity in older adults is limited. AIMS To investigate whether music-making interventions in older adults induce neurobiological changes and if such changes relate to cognitive improvements. METHODS A systematic search was conducted in Medline, PsycINFO, and Scopus. Inclusion criteria targeted randomised controlled trials with older adults (with and without mild cognitive impairment [MCI]), music-making interventions as exposure, and neurobiological measures as the primary outcome. RESULTS Six studies (555 cognitively intact older adults) met inclusion criteria-five used piano training, one used choral singing. Three studies had overlapping cohorts, and four had a high risk of bias. One study employed electroencephalography (EEG) to measure frontal and parietal activity, while five used structural MRI to assess cortical, subcortical, and white matter integrity. Methodological heterogeneity limited comparability. Findings in the piano group included increased frontal theta power during an improvisation task, greater grey matter volume in the dorsolateral prefrontal cortex and cerebellum, slower fibre density decline in the fornix and preserved grey matter volume in the right auditory cortex and hippocampus. Only one study reported a positive correlation between neurobiological changes and executive functioning improvements. No studies assessed neurobiological outcomes in MCI. DISCUSSION Evidence on music-making interventions and neuroplasticity in older adults remains inconclusive due to limited studies, high risk of bias, and methodological variability. While preliminary findings suggest potential neurobiological changes with music-making interventions, there is insufficient evidence to draw firm conclusions. CONCLUSIONS High-quality trials are needed to clarify the neurobiological impact of music-making, particularly in MCI populations.
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Affiliation(s)
- Nicole Espinosa
- School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
| | - Zoe Menczel Schrire
- School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
| | - Andrew C McKinnon
- School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
- School of Psychology, Western Sydney University, Sydney, Australia
| | - Hannes Almgren
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
- School of Biomedical Engineering, Faculty of Engineering, University of Sydney, Sydney, Australia
| | - Loren Mowszowski
- School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia
| | - Sharon L Naismith
- School of Psychology, Faculty of Science, University of Sydney, Sydney, Australia.
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia.
- Charles Perkins Centre, University of Sydney, Camperdown, Sydney, NSW, 2050, Australia.
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3
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Ammothumkandy A, Corona L, Ravina K, Wolseley V, Nelson J, Atai N, Abedi A, Jimenez N, Armacost M, D'Orazio LM, Zuverza-Chavarria V, Cayce A, McCleary C, Nune G, Kalayjian L, Lee DJ, Lee B, Chow RH, Heck C, Russin JJ, Liu CY, Smith JAD, Bonaguidi MA. Human adult neurogenesis loss corresponds with cognitive decline during epilepsy progression. Cell Stem Cell 2025; 32:293-301.e3. [PMID: 39642885 DOI: 10.1016/j.stem.2024.11.002] [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: 07/16/2023] [Revised: 07/16/2024] [Accepted: 11/01/2024] [Indexed: 12/09/2024]
Abstract
Mesial temporal lobe epilepsy (MTLE) is a syndromic disorder presenting with seizures and cognitive comorbidities. Although seizure etiology is increasingly understood, the pathophysiological mechanisms contributing to cognitive decline and epilepsy progression remain less recognized. We have previously shown that adult hippocampal neurogenesis dramatically declines in MTLE patients with increased disease duration. Here, we investigate when multiple cognitive domains become affected during epilepsy progression and how human neurogenesis levels contribute to it. We find that intelligence, verbal learning, and memory decline at a critical period of 20 years disease duration. In contrast to rodents, the number of human immature neurons positively associates with auditory verbal, rather than visuospatial, learning and memory. Moreover, this association does not apply to mature granule neurons. Our study provides cellular evidence of how adult neurogenesis corresponds with human cognition and signifies an opportunity to advance regenerative medicine for patients with MTLE and other cognitive disorders.
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Affiliation(s)
- Aswathy Ammothumkandy
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Luis Corona
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Kristine Ravina
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Victoria Wolseley
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Physiology & Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jeremy Nelson
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nadiya Atai
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Aidin Abedi
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nora Jimenez
- Los Angeles General Medical Center, Los Angeles, CA 90033, USA
| | - Michelle Armacost
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Rancho Los Amigos National Rehabilitation Center, Downey, CA 90242, USA
| | - Lina M D'Orazio
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | | | - Alisha Cayce
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Carol McCleary
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - George Nune
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Laura Kalayjian
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Darrin J Lee
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Brian Lee
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Robert H Chow
- Department of Physiology & Neuroscience, Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Christianne Heck
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Jonathan J Russin
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
| | - Charles Y Liu
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA.
| | - Jason A D Smith
- Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurology, Medical University of South Carolina, Charleston, SC 29425, USA.
| | - Michael A Bonaguidi
- Department of Stem Cell Biology and Regenerative Medicine, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA; Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Biochemistry and Molecular Medicine, University of Southern California, Los Angeles, CA 90033, USA; Department of Gerontology, University of Southern California, Los Angeles, CA 90089, USA.
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Wang X, Xin Z, Li X, Wu K, Wang W, Guo L, Wang L, Mo X, Liu X, Guo Z, Wang J, Lu C. Mediterranean diet and dementia: MRI marker evidence from meta-analysis. Eur J Med Res 2025; 30:32. [PMID: 39815306 PMCID: PMC11737277 DOI: 10.1186/s40001-025-02276-1] [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: 11/06/2024] [Accepted: 01/04/2025] [Indexed: 01/18/2025] Open
Abstract
BACKGROUND Dementia is a growing public health concern with limited effective treatments. Diet may be a modifiable factor that significantly impacts brain health. Mediterranean diet (MeDi) has been suggested to be associated with brain Magnetic Resonance Imaging (MRI) markers related to dementia, but the existing evidence is inconsistent. OBJECTIVES This systematic review and meta-analysis aimed to quantify the association between MeDi and dementia-related MRI markers. METHODS A systematic search was conducted on PubMed, Embase, and Web of Science up to September 2024. Two reviewers worked in parallel to select studies and extract data. We considered epidemiologic studies that reported beta coefficients (β) with 95% confidence intervals (CIs) for MRI markers related to MeDi. Separate meta-analyses were performed for cross-sectional and longitudinal studies. RESULTS A total of 20 relevant studies involving 44,893 individuals were included in the analysis. Thirteen cross-sectional studies included a total of 42,955 participants. A meta-analysis of cross-sectional studies revealed significant associations between MeDi and white matter hyperintensity (WMH) (β = - 0.03, 95% CI = - 0.05- - 0.01, P = 0.02). However, there were no significant associations found between MeDi and total brain volume (TBV) (β = - 0.03, 95% CI = - 0.20-0.13, P = 0.71), gray matter volume (GMV) (β = 0.26, 95% CI = - 0.19-0.71, P = 0.26), white matter volume (WMV) (β = - 0.09, 95% CI = - 0.40-0.22, P = 0.58), or hippocampal volume (HCV) (β = - 1.02, 95% CI = - 7.74-9.79, P = 0.82). In the longitudinal analysis, seven prospective studies with an average follow-up period ranging from 1.5 to 9 years and involving 1,938 participants. The combined effect size of MeDi showed no significant association with TBV or GMV. CONCLUSION Adherence to MeDi may be associated with reduced WMH in older adults. This suggests that MeDi may affect brain health and highlights the need for further research into its role as a modifiable lifestyle factor that might potentially modify the risk of dementia.
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Affiliation(s)
- Xiaojie Wang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518067, Guangdong, China
| | - Zhiyao Xin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China
| | - Xiuwen Li
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China
| | - Keying Wu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China
| | - Wanxin Wang
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China
| | - Lan Guo
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China
| | - Li Wang
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518067, Guangdong, China
| | - Xin Mo
- Department of Radiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, 36 Industrial Road 7, Shenzhen, 518067, Guangdong, China
| | - Xinjian Liu
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518067, Guangdong, China
| | - Zhihui Guo
- Department of Neurology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, 518067, Guangdong, China
| | - Jing Wang
- Department of Radiology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, 36 Industrial Road 7, Shenzhen, 518067, Guangdong, China.
| | - Ciyong Lu
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-Sen University, 74 Zhongshan Road 2, Guangzhou, 510080, Guangdong, China.
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
- Guangdong Engineering Technology Research Center of Nutrition Translation, Guangzhou, 510080, Guangdong, China.
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5
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Meng H, Liu B, Lu X, Tan Y, Wang S, Pan B, Zhang H, Niu Q. Alterations of gray matter volume and functional connectivity in patients with cognitive impairment induced by occupational aluminum exposure: a case-control study. Front Neurol 2025; 15:1500924. [PMID: 39839872 PMCID: PMC11747109 DOI: 10.3389/fneur.2024.1500924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2024] [Accepted: 12/16/2024] [Indexed: 01/23/2025] Open
Abstract
Background Cognitive impairment (CI) is a condition in which an individual experiences noticeable impairment in thinking abilities. Long-term exposure to aluminum (Al) can cause CI. This study aimed to determine the relationship between CI and MRI-related changes in postroom workers exposed to Al. Methods Thirty patients with CI and 25 healthy controls were recruited. Plasma aluminum levels were measured using inductively coupled plasma-mass spectrometry. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) and an auditory-verbal learning test (AVLT). All participants underwent magnetic resonance imaging scans. 3D T1-weighted anatomical images and resting-state functional magnetic resonance imaging data were acquired, and voxel-based morphometry and ROI-based FC were used for analysis. A mediation analysis was also conducted. Results Plasma aluminum levels were significantly higher in the CI group than in the normal control group. The gray matter (GM) volume in the left caudate and bilateral hippocampus was lower in the CI group and was positively correlated with cognitive scale scores. There was no significant difference in functional connectivity (FC) between the left caudate and the whole brain between the two groups. Significant alterations in hippocampal FC were observed in certain brain areas, mainly in the left cerebellar vermis, left middle frontal gyrus (BA9), and right superior frontal gyrus relative to the supplementary motor area (BA6). The FC coefficients were also associated with cognitive scale scores. Furthermore, plasma Al concentration was negatively correlated with the Montreal Cognitive Assessment score, bilateral hippocampal GM volume, and FC coefficient between the left hippocampus and left cerebellar vermis. Mediation analysis showed GM alteration of left caudate and bilateral hippocampus and FC alteration of left hippocampus to left cerebellar vermis could explained 19.80-32.07% of the effect of MoCA scores change related to Al exposure, besides the GM alteration of right hippocampus acted as indirect mediator (68.75%) of the association between Al and AVLT delayed recall scores. Conclusion Our data indicates that alterations in the structure and function of special brain domain, especially the hippocampus, are associated with Al-induced CI. These brain regions can partly explain the effect of Al on cognitive impairment.
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Affiliation(s)
- Huaxing Meng
- Department of Neurology, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Bo Liu
- College of Medical Imaging, Shanxi Medical University, Taiyuan, China
| | - Xiaoting Lu
- School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Yan Tan
- College of Medical Imaging, Shanxi Medical University, Taiyuan, China
| | - Shanshan Wang
- School of Public Health, Shanxi Medical University, Taiyuan, China
| | - Baolong Pan
- Science and Education Department, Sixth Hospital of Shanxi Medical University, Taiyuan, China
| | - Hui Zhang
- College of Medical Imaging, Shanxi Medical University, Taiyuan, China
| | - Qiao Niu
- School of Public Health, Shanxi Medical University, Taiyuan, China
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Lam A, D’Rozario AL, Palmer JR, McKinnon AC, Dalton MA, Espinosa N, Mowszowski L, Phillips CL, Grunstein RR, Naismith SL. Hypoxemia during rapid eye movement sleep mediates memory impairment in older adults at risk for dementia via CA1 hippocampal volume loss. Eur J Neurol 2024; 31:e16491. [PMID: 39302096 PMCID: PMC11555004 DOI: 10.1111/ene.16491] [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: 06/26/2024] [Revised: 09/05/2024] [Accepted: 09/06/2024] [Indexed: 09/22/2024]
Abstract
BACKGROUND AND PURPOSE Obstructive sleep apnea is associated with increased dementia risk. Nocturnal hypoxemia, which can be more severe during rapid eye movement (REM) sleep, may be a key mechanism. This study examines how REM hypoxemia affects memory and explores whether hippocampal vulnerability to hypoxemia mediates this effect in older adults at risk for dementia. METHODS Older adults aged ≥50 years (N = 338) with subjective or mild cognitive impairment (i.e., objective impairment) underwent neuropsychological, mood, and medical assessment, magnetic resonance imaging scanning (n = 135), and overnight polysomnography. Verbal learning and memory were assessed with the Rey Auditory Verbal Learning Test. REM sleep hypoxemia was measured using the Oxygen Desaturation Index-3% (REM-ODI). Hippocampal subfield (CA1, CA3, subiculum, and dentate gyrus) volumes were derived from T1 and high-resolution hippocampus T2 scans. We determined whether the relationship between REM-ODI and learning and memory was mediated by hippocampal subfield volume. Analyses were repeated in non-REM sleep to determine whether the effects were REM-specific. RESULTS Although there was not a direct effect of REM-ODI on verbal learning (p > 0.05) or memory (p > 0.05), mediation analyses showed a significant indirect effect of high REM-ODI on poorer verbal learning (β = -0.09, 95% confidence interval [CI] = -0.238 to -0.005) and memory (β = -0.100, 95% CI = -0.255 to -0.005), which was mediated by CA1 volume. These associations were absent in non-REM sleep (p > 0.05). CONCLUSIONS Hypoxemia during REM sleep may impair memory in people at risk for dementia by reducing CA1 hippocampal volume. Research is needed to explore whether interventions targeting REM sleep hypoxemia are protective against memory decline.
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Affiliation(s)
- Aaron Lam
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Centre for Sleep and ChronobiologyWoolcock Institute of Medical Research, Macquarie UniversitySydneyNew South WalesAustralia
- Faculty of Medicine, Health, and Human Sciences, School of Psychological SciencesMacquarie UniversitySydneyNew South WalesAustralia
- Charles Perkins CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Angela L. D’Rozario
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Centre for Sleep and ChronobiologyWoolcock Institute of Medical Research, Macquarie UniversitySydneyNew South WalesAustralia
- Faculty of Medicine, Health, and Human Sciences, School of Psychological SciencesMacquarie UniversitySydneyNew South WalesAustralia
- CogSleep Centre of Research Excellence, National Health and Medical Research CouncilSydneyNew South WalesAustralia
| | - Jake R. Palmer
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
| | - Andrew C. McKinnon
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
| | - Marshall A. Dalton
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
| | - Nicole Espinosa
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
| | - Craig L. Phillips
- Centre for Sleep and ChronobiologyWoolcock Institute of Medical Research, Macquarie UniversitySydneyNew South WalesAustralia
- Royal Prince Alfred HospitalSydneyNew South WalesAustralia
- Faculty of Medicine, Health and Human Sciences, Macquarie Medical SchoolMacquarie UniversitySydneyNew South WalesAustralia
| | - Ronald R. Grunstein
- Centre for Sleep and ChronobiologyWoolcock Institute of Medical Research, Macquarie UniversitySydneyNew South WalesAustralia
- CogSleep Centre of Research Excellence, National Health and Medical Research CouncilSydneyNew South WalesAustralia
- Royal Prince Alfred HospitalSydneyNew South WalesAustralia
| | - Sharon L. Naismith
- Healthy Brain Ageing Program, Brain and Mind CentreUniversity of SydneySydneyNew South WalesAustralia
- Faculty of Science, School of PsychologyUniversity of SydneySydneyNew South WalesAustralia
- Charles Perkins CentreUniversity of SydneySydneyNew South WalesAustralia
- CogSleep Centre of Research Excellence, National Health and Medical Research CouncilSydneyNew South WalesAustralia
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7
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Singh S, Malo PK, Stezin A, Mensegere AL, Issac TG. Alteration in amygdala subfield volumes and their association with cognition in mild cognitive impairment. J Neurol 2024; 271:5460-5467. [PMID: 38879703 DOI: 10.1007/s00415-024-12500-3] [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: 04/10/2024] [Revised: 05/31/2024] [Accepted: 06/07/2024] [Indexed: 08/13/2024]
Abstract
BACKGROUND The amygdala has an important role in cognitive and affective functions. The involvement of amygdala and related limbic structures is implicated in many aspects of memory and emotion in mild cognitive impairment (MCI). In the present study, we aimed to compare the volumetric measurements of amygdala and its subfields as well as their association with cognitive functions in stable MCI (sMCI). METHODS We performed Addenbrooke's cognitive examination III (ACE-III) test, as well as high-resolution T1-weighted images from 31 participants with sMCI and 31 age-matched healthy controls. The amygdala subfield volumes were extracted using Freesurfer software, and group differences were assessed using general linear model (GLM) with age, gender, education and estimated intracranial volume (ICV) as covariates. Partial correlation was also calculated between cognitive scores and volumes of amygdala subfields in healthy controls and sMCI participants controlling for estimated ICV. RESULTS sMCI participants exhibited significantly reduced volumes in most of the right amygdala subfields, including basal nucleus, accessory basal nucleus, central nucleus, medial nucleus, corticoamygdaloid transition area, and whole amygdala, as well as significantly reduced right amygdala/hippocampus ratio compared to healthy controls. In addition, our results revealed statistically significant positive correlations between ACE memory scores and the volumes of right central nucleus, right medial nucleus, right cortical nucleus, and the right whole amygdala, in sMCI. CONCLUSIONS Our findings revealed volumetric reductions in most of the right amygdala subfields along with its association with the memory functions in sMCI. These findings provide valuable insights into the underlying anatomical factors contributing to neurocognitive symptoms in MCI.
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Affiliation(s)
- Sadhana Singh
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India
| | - Palash Kumar Malo
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India
| | - Albert Stezin
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India
| | - Abhishek L Mensegere
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India
| | - Thomas Gregor Issac
- Centre for Brain Research, Indian Institute of Science, Bangalore, 560012, India.
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Hari I, Adeyemi OF, Gowland P, Bowtell R, Mougin O, Vesey P, Shah J, Mukaetova-Ladinska EB, Hosseini AA. Memory impairment in Amyloidβ-status Alzheimer's disease is associated with a reduction in CA1 and dentate gyrus volume: In vivo MRI at 7T. Neuroimage 2024; 292:120607. [PMID: 38614372 DOI: 10.1016/j.neuroimage.2024.120607] [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: 10/30/2023] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/15/2024] Open
Abstract
INTRODUCTION In Alzheimer's disease (AD), early diagnosis facilitates treatment options and leads to beneficial outcomes for patients, their carers and the healthcare system. The neuropsychological battery of the Uniform Data Set (UDSNB3.0) assesses cognition in ageing and dementia, by measuring scores across different cognitive domains such as attention, memory, processing speed, executive function and language. However, its neuroanatomical correlates have not been investigated using 7 Tesla MRI (7T MRI). METHODS We used 7T MRI to investigate the correlations between hippocampal subfield volumes and the UDSNB3.0 in 24 individuals with Amyloidβ-status AD and 18 age-matched controls, with respective age ranges of 60 (42-76) and 62 (52-79) years. AD participants with a Medial Temporal Atrophy scale of higher than 2 on 3T MRI were excluded from the study. RESULTS A significant difference in the entire hippocampal volume was observed in the AD group compared to healthy controls (HC), primarily influenced by CA1, the largest hippocampal subfield. Notably, no significant difference in whole brain volume between the groups implied that hippocampal volume loss was not merely reflective of overall brain atrophy. UDSNB3.0 cognitive scores showed significant differences between AD and HC, particularly in Memory, Language, and Visuospatial domains. The volume of the Dentate Gyrus (DG) showed a significant association with the Memory and Executive domain scores in AD patients as assessed by the UDSNB3.0.. The data also suggested a non-significant trend for CA1 volume associated with UDSNB3.0 Memory, Executive, and Language domain scores in AD. In a reassessment focusing on hippocampal subfields and MoCA memory subdomains in AD, associations were observed between the DG and Cued, Uncued, and Recognition Memory subscores, whereas CA1 and Tail showed associations only with Cued memory. DISCUSSION This study reveals differences in the hippocampal volumes measured using 7T MRI, between individuals with early symptomatic AD compared with healthy controls. This highlights the potential of 7T MRI as a valuable tool for early AD diagnosis and the real-time monitoring of AD progression and treatment efficacy. CLINICALTRIALS GOV: ID NCT04992975 (Clinicaltrial.gov 2023).
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Affiliation(s)
- Ishani Hari
- Department of Academic Neurology, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, United Kingdom. NG7 2UH
| | - Oluwatobi F Adeyemi
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom. NG7 2QX
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom. NG7 2QX
| | - Richard Bowtell
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom. NG7 2QX
| | - Olivier Mougin
- Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom. NG7 2QX
| | - Patrick Vesey
- Clinical Psychology, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, United Kingdom. NG7 2UH
| | - Jagrit Shah
- Neuroradiology Department, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, United Kingdom. NG7 2UH
| | - Elizabeta B Mukaetova-Ladinska
- Department of Psychology and Visual Sciences, University of Leicester, Leicester, United Kingdom. LE1 7RH; The Evington Centre, Leicestershire Partnership NHS Trust, Leicester, UK, LE5 4QG
| | - Akram A Hosseini
- Department of Academic Neurology, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, United Kingdom. NG7 2UH; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom. NG7 2QX.
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9
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Aumont E, Bussy A, Bedard MA, Bezgin G, Therriault J, Savard M, Fernandez Arias J, Sziklas V, Vitali P, Poltronetti NM, Pallen V, Thomas E, Gauthier S, Kobayashi E, Rahmouni N, Stevenson J, Tissot C, Chakravarty MM, Rosa-Neto P. Hippocampal subfield associations with memory depend on stimulus modality and retrieval mode. Brain Commun 2023; 5:fcad309. [PMID: 38035364 PMCID: PMC10681971 DOI: 10.1093/braincomms/fcad309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/26/2023] [Accepted: 11/08/2023] [Indexed: 12/02/2023] Open
Abstract
Hippocampal atrophy is a well-known feature of age-related memory decline, and hippocampal subfields may contribute differently to this decline. In this cross-sectional study, we investigated the associations between hippocampal subfield volumes and performance in free recall and recognition memory tasks in both verbal and visual modalities in older adults without dementia. We collected MRIs from 97 (41 males) right-handed participants aged over 60. We segmented the right and left hippocampi into (i) dentate gyrus and cornu ammonis 4 (DG/CA4); (ii) CA2 and CA3 (CA2/CA3); (iii) CA1; (iv) strata radiatum, lacunosum and moleculare; and (v) subiculum. Memory was assessed with verbal free recall and recognition tasks, as well as visual free recall and recognition tasks. Amyloid-β and hippocampal tau positivity were assessed using [18F]AZD4694 and [18F]MK6240 PET tracers, respectively. The verbal free recall and verbal recognition performances were positively associated with CA1 and strata radiatum, lacunosum and moleculare volumes. The verbal free recall and visual free recall were positively correlated with the right DG/CA4. The visual free recall, but not verbal free recall, was also associated with the right CA2/CA3. The visual recognition was not significantly associated with any subfield volume. Hippocampal tau positivity, but not amyloid-β positivity, was associated with reduced DG/CA4, CA2/CA3 and strata radiatum, lacunosum and moleculare volumes. Our results suggest that memory performances are linked to specific subfields. CA1 appears to contribute to the verbal modality, irrespective of the free recall or recognition mode of retrieval. In contrast, DG/CA4 seems to be involved in the free recall mode, irrespective of verbal or visual modalities. These results are concordant with the view that DG/CA4 plays a primary role in encoding a stimulus' distinctive attributes, and that CA2/CA3 could be instrumental in recollecting a visual memory from one of its fragments. Overall, we show that hippocampal subfield segmentation can be useful for detecting early volume changes and improve our understanding of the hippocampal subfields' roles in memory.
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Affiliation(s)
- Etienne Aumont
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Aurélie Bussy
- Cerebral Imaging Center, Douglas Research Center, Montreal, QC H4H 1R3, Canada
- Computational Brain Anatomy (CoBrALab) Laboratory, Montreal, QC H4H 1R2, Canada
| | - Marc-André Bedard
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Gleb Bezgin
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Joseph Therriault
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Melissa Savard
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Jaime Fernandez Arias
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Viviane Sziklas
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
| | - Paolo Vitali
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | | | - Vanessa Pallen
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
| | - Emilie Thomas
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
| | - Serge Gauthier
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Eliane Kobayashi
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Nesrine Rahmouni
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Jenna Stevenson
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Cecile Tissot
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
| | - Mallar M Chakravarty
- Cerebral Imaging Center, Douglas Research Center, Montreal, QC H4H 1R3, Canada
- Computational Brain Anatomy (CoBrALab) Laboratory, Montreal, QC H4H 1R2, Canada
- Department of Psychiatry, McGill University, Montreal, QC H3A 1A1, Canada
| | - Pedro Rosa-Neto
- NeuroQAM Research Centre, Université du Québec à Montréal (UQAM), Montreal H2X 3P2, Canada
- McGill University Research Centre for Studies in Aging, McGill University, Montreal, QC H4H 1R3, Canada
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 1A1, Canada
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Christopher-Hayes NJ, Embury CM, Wiesman AI, May PE, Schantell M, Johnson CM, Wolfson SL, Murman DL, Wilson TW. Piecing it together: atrophy profiles of hippocampal subfields relate to cognitive impairment along the Alzheimer's disease spectrum. Front Aging Neurosci 2023; 15:1212197. [PMID: 38020776 PMCID: PMC10644116 DOI: 10.3389/fnagi.2023.1212197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/13/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction People with Alzheimer's disease (AD) experience more rapid declines in their ability to form hippocampal-dependent memories than cognitively normal healthy adults. Degeneration of the whole hippocampal formation has previously been found to covary with declines in learning and memory, but the associations between subfield-specific hippocampal neurodegeneration and cognitive impairments are not well characterized in AD. To improve prognostic procedures, it is critical to establish in which hippocampal subfields atrophy relates to domain-specific cognitive declines among people along the AD spectrum. In this study, we examine high-resolution structural magnetic resonance imaging (MRI) of the medial temporal lobe and extensive neuropsychological data from 29 amyloid-positive people on the AD spectrum and 17 demographically-matched amyloid-negative healthy controls. Methods Participants completed a battery of neuropsychological exams including select tests of immediate recollection, delayed recollection, and general cognitive status (i.e., performance on the Mini-Mental State Examination [MMSE] and Montreal Cognitive Assessment [MoCA]). Hippocampal subfield volumes (CA1, CA2, CA3, dentate gyrus, and subiculum) were measured using a dedicated MRI slab sequence targeting the medial temporal lobe and used to compute distance metrics to quantify AD spectrum-specific atrophic patterns and their impact on cognitive outcomes. Results Our results replicate prior studies showing that CA1, dentate gyrus, and subiculum hippocampal subfield volumes were significantly reduced in AD spectrum participants compared to amyloid-negative controls, whereas CA2 and CA3 did not exhibit such patterns of atrophy. Moreover, degeneration of the subiculum along the AD spectrum was linked to a significant decline in general cognitive status measured by the MMSE, while degeneration scores of the CA1 and dentate gyrus were more widely associated with declines on the MMSE and tests of learning and memory. Discussion These findings provide evidence that subfield-specific patterns of hippocampal degeneration, in combination with cognitive assessments, may constitute a sensitive prognostic approach and could be used to better track disease trajectories among individuals on the AD spectrum.
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Affiliation(s)
- Nicholas J. Christopher-Hayes
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- Center for Mind and Brain, University of California, Davis, CA, United States
| | - Christine M. Embury
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- Department of Psychology, University of Nebraska at Omaha, Omaha, NE, United States
| | - Alex I. Wiesman
- Montreal Neurological Institute, McGill University, Montréal, QC, Canada
| | - Pamela E. May
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
| | - Mikki Schantell
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- College of Medicine, UNMC, Omaha, NE, United States
| | | | | | - Daniel L. Murman
- Department of Neurological Sciences, University of Nebraska Medical Center, Omaha, NE, United States
- Memory Disorders and Behavioral Neurology Program, UNMC, Omaha, NE, United States
| | - Tony W. Wilson
- Institute for Human Neuroscience, Boys Town National Research Hospital, Boys Town, NE, United States
- College of Medicine, UNMC, Omaha, NE, United States
- Department of Pharmacology and Neuroscience, Creighton University, Omaha, NE, United States
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11
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Zavaliangos-Petropulu A, McClintock SM, Joshi SH, Taraku B, Al-Sharif NB, Espinoza RT, Narr KL. Hippocampal subfield volumes in treatment resistant depression and serial ketamine treatment. Front Psychiatry 2023; 14:1227879. [PMID: 37876623 PMCID: PMC10590913 DOI: 10.3389/fpsyt.2023.1227879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 09/11/2023] [Indexed: 10/26/2023] Open
Abstract
Introduction Subanesthetic ketamine is a rapidly acting antidepressant that has also been found to improve neurocognitive performance in adult patients with treatment resistant depression (TRD). Provisional evidence suggests that ketamine may induce change in hippocampal volume and that larger pre-treatment volumes might be related to positive clinical outcomes. Here, we examine the effects of serial ketamine treatment on hippocampal subfield volumes and relationships between pre-treatment subfield volumes and changes in depressive symptoms and neurocognitive performance. Methods Patients with TRD (N = 66; 31M/35F; age = 39.5 ± 11.1 years) received four ketamine infusions (0.5 mg/kg) over 2 weeks. Structural MRI scans, the National Institutes of Health Toolbox (NIHT) Cognition Battery, and Hamilton Depression Rating Scale (HDRS) were collected at baseline, 24 h after the first and fourth ketamine infusion, and 5 weeks post-treatment. The same data was collected for 32 age and sex matched healthy controls (HC; 17M/15F; age = 35.03 ± 12.2 years) at one timepoint. Subfield (CA1/CA3/CA4/subiculum/molecular layer/GC-ML-DG) volumes corrected for whole hippocampal volume were compared across time, between treatment remitters/non-remitters, and patients and HCs using linear regression models. Relationships between pre-treatment subfield volumes and clinical and cognitive outcomes were also tested. All analyses included Bonferroni correction. Results Patients had smaller pre-treatment left CA4 (p = 0.004) and GC.ML.DG (p = 0.004) volumes compared to HC, but subfield volumes remained stable following ketamine treatment (all p > 0.05). Pre-treatment or change in hippocampal subfield volumes over time showed no variation by remission status nor correlated with depressive symptoms (p > 0.05). Pre-treatment left CA4 was negatively correlated with improved processing speed after single (p = 0.0003) and serial ketamine infusion (p = 0.005). Left GC.ML.DG also negatively correlated with improved processing speed after single infusion (p = 0.001). Right pre-treatment CA3 positively correlated with changes in list sorting working memory at follow-up (p = 0.0007). Discussion These results provide new evidence to suggest that hippocampal subfield volumes at baseline may present a biomarker for neurocognitive improvement following ketamine treatment in TRD. In contrast, pre-treatment subfield volumes and changes in subfield volumes showed negligible relationships with ketamine-related improvements in depressive symptoms.
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Affiliation(s)
- Artemis Zavaliangos-Petropulu
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
| | - Shawn M. McClintock
- Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States
| | - Shantanu H. Joshi
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
| | - Brandon Taraku
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
| | - Noor B. Al-Sharif
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
| | - Randall T. Espinoza
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
| | - Katherine L. Narr
- Ahmanson-Lovelace Brain Mapping Center, Department of Neurology, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
- Jane and Terry Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, CA, United States
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12
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Lai YM, Chang YL. Age-related differences in associative memory recognition of Chinese characters and hippocampal subfield volumes. Biol Psychol 2023; 183:108657. [PMID: 37562576 DOI: 10.1016/j.biopsycho.2023.108657] [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: 04/15/2023] [Revised: 07/26/2023] [Accepted: 08/07/2023] [Indexed: 08/12/2023]
Abstract
Associative memory is a type of hippocampal-dependent episodic memory that declines with age. Studies have examined the neural substrates underlying associative memory and considered the hippocampus holistically; however, the association between associative memory decline and volumetric change in hippocampal subfields in the context of normal aging remains uncharacterized. Leveraging the distinct linguistic features of Chinese characters to evaluate distinct types of false recognition, we investigated age-related differences in associative recognition and hippocampal subfield volumes, as well as the relationship between behavioral performance and hippocampal morphometry in 25 younger adults and 32 older adults. The results showed an age-related associative memory deficit, which was exacerbated after a 30-min delay. Older adults showed higher susceptibility to false alarm errors with recombined and orthographically related foils compared to phonologically or semantically related ones. Moreover, we detected a disproportionately age-related, time-dependent increase in orthographic errors. Older adults exhibited smaller volumes in all hippocampal subfields when compared to younger adults, with a less pronounced effect observed in the CA2/3 subfield. Group-collapsed correlational analyses revealed associations between specific hippocampal subfields and associative memory but not item memory. Additionally, multi-subfield regions had prominent associations with delayed recognition. These findings underscore the significance of multiple hippocampal subfields in various hippocampal-dependent processes including associative memory, recollection-based retrieval, and pattern separation ability. Moreover, our observations of age-related difficulty in differentiating perceptually similar foils from targets provide a unique opportunity for examining the essential contribution of individual hippocampal subfields to the pattern separation process in mnemonic recognition.
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Affiliation(s)
- Ya-Mei Lai
- 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; Clinical Psychology Center, National Taiwan University Hospital, College of Medicine, 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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13
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Tuena C, Maestri S, Serino S, Pedroli E, Stramba-Badiale M, Riva G. Prognostic relevance of gait-related cognitive functions for dementia conversion in amnestic mild cognitive impairment. BMC Geriatr 2023; 23:462. [PMID: 37525134 PMCID: PMC10388514 DOI: 10.1186/s12877-023-04175-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/15/2023] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Increasing research suggests that gait abnormalities can be a risk factor for Alzheimer's Disease (AD). Notably, there is growing evidence highlighting this risk factor in individuals with amnestic Mild Cognitive Impairment (aMCI), however further studies are needed. The aim of this study is to analyze cognitive tests results and brain-related measures over time in aMCI and examine how the presence of gait abnormalities (neurological or orthopedic) or normal gait affects these trends. Additionally, we sought to assess the significance of gait and gait-related measures as prognostic indicators for the progression from aMCI to AD dementia, comparing those who converted to AD with those who remained with a stable aMCI diagnosis during the follow-up. METHODS Four hundred two individuals with aMCI from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database were included. Robust linear mixed-effects models were used to study the impact of gait abnormalities on a comprehensive neuropsychological battery over 36 months while controlling for relevant medical variables at baseline. The impact of gait on brain measures was also investigated. Lastly, the Cox proportional-hazards model was used to explore the prognostic relevance of abnormal gait and neuropsychological associated tests. RESULTS While controlling for relevant covariates, we found that gait abnormalities led to a greater decline over time in attention (DSST) and global cognition (MMSE). Intriguingly, psychomotor speed (TMT-A) and divided attention (TMT-B) declined uniquely in the abnormal gait group. Conversely, specific AD global cognition tests (ADAS-13) and auditory-verbal memory (RAVLT immediate recall) declined over time independently of gait profile. All the other cognitive tests were not significantly affected by time or by gait profile. In addition, we found that ventricles size increased faster in the abnormal gait group compared to the normal gait group. In terms of prognosis, abnormal gait (HR = 1.7), MMSE (HR = 1.09), and DSST (HR = 1.03) covariates showed a higher impact on AD dementia conversion. CONCLUSIONS The importance of the link between gait and related cognitive functions in terms of diagnosis, prognosis, and rehabilitation in aMCI is critical. We showed that in aMCI gait abnormalities lead to executive functions/attention deterioration and conversion to AD dementia.
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Affiliation(s)
- Cosimo Tuena
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy.
| | - Sara Maestri
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Silvia Serino
- Department of Psychology, Università degli Studi Milano-Bicocca, Milan, Italy
| | - Elisa Pedroli
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Faculty of Psychology, Università eCampus, Novedrate, Italy
| | - Marco Stramba-Badiale
- Department of Geriatrics and Cardiovascular Medicine, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Giuseppe Riva
- Applied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Humane Technology Lab, Università Cattolica del Sacro Cuore, Milan, Italy
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Raschick M, Richter A, Fischer L, Knopf L, Schult A, Yakupov R, Behnisch G, Guttek K, Düzel E, Dunay IR, Seidenbecher CI, Schraven B, Reinhold D, Schott BH. Plasma concentrations of anti-inflammatory cytokine TGF-β are associated with hippocampal structure related to explicit memory performance in older adults. J Neural Transm (Vienna) 2023:10.1007/s00702-023-02638-1. [PMID: 37115329 PMCID: PMC10374779 DOI: 10.1007/s00702-023-02638-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/19/2023] [Indexed: 04/29/2023]
Abstract
Human cognitive abilities, and particularly hippocampus-dependent memory performance typically decline with increasing age. Immunosenescence, the age-related disintegration of the immune system, is increasingly coming into the focus of research as a considerable factor contributing to cognitive decline. In the present study, we investigated potential associations between plasma levels of pro- and anti-inflammatory cytokines and learning and memory performance as well as hippocampal anatomy in young and older adults. Plasma concentrations of the inflammation marker CRP as well as the pro-inflammatory cytokines IL-6 and TNF-α and the anti-inflammatory cytokine TGF-β1 were measured in 142 healthy adults (57 young, 24.47 ± 4.48 years; 85 older, 63.66 ± 7.32 years) who performed tests of explicit memory (Verbal Learning and Memory Test, VLMT; Wechsler Memory Scale, Logical Memory, WMS) with an additional delayed recall test after 24 h. Hippocampal volumetry and hippocampal subfield segmentation were performed using FreeSurfer, based on T1-weighted and high-resolution T2-weighted MR images. When investigating the relationship between memory performance, hippocampal structure, and plasma cytokine levels, we found that TGF-β1 concentrations were positively correlated with the volumes of the hippocampal CA4-dentate gyrus region in older adults. These volumes were in turn positively associated with better performance in the WMS, particularly in the delayed memory test. Our results support the notion that endogenous anti-inflammatory mechanisms may act as protective factors in neurocognitive aging.
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Affiliation(s)
- Matthias Raschick
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Anni Richter
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Larissa Fischer
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Lea Knopf
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Annika Schult
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Gusalija Behnisch
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Karina Guttek
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Emrah Düzel
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Ildiko Rita Dunay
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
- Institute for Inflammation and Neurodegeneration, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Constanze I Seidenbecher
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Burkhart Schraven
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Health and Medical Prevention (CHaMP), Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Dirk Reinhold
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Health and Medical Prevention (CHaMP), Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Björn H Schott
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany.
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany.
- Department of Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
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15
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Gregory S, Saunders S, Ritchie CW. Science disconnected: the translational gap between basic science, clinical trials, and patient care in Alzheimer's disease. THE LANCET. HEALTHY LONGEVITY 2022; 3:e797-e803. [PMID: 36356629 DOI: 10.1016/s2666-7568(22)00219-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 08/22/2022] [Accepted: 09/08/2022] [Indexed: 11/09/2022] Open
Abstract
Both research and clinical practice have traditionally centred on the dementia syndrome of Alzheimer's disease rather than its preclinical and prodromal stages. However, there is a strong scientific and ethical impetus to shift focus to earlier disease stages to improve brain health outcomes and help to keep affected individuals symptom-free (dementia-free) for as long as possible. We provide an overview of recent advancements in early detection, drug development, and trial methodology that should be utilised in the development of new therapies for use in brain health clinics. We propose a triad approach to Alzheimer's disease clinical trials, encompassing (1) experimental medicine studies to gather greater knowledge of disease mechanisms, (2) a more comprehensive platform of phase 2 learning trials to inform phase 3 confirmatory trials, and (3) precision medicine involving smaller subgroups of patients with shared characteristics. This triad would ensure that treatment targets are identified accurately, trial methodology focuses on at-risk populations, and sensitive outcome measures capture potential treatment effects. Clinical services around the world must embrace the brain health clinic model so that neurodegenerative diseases can be detected in their earliest phase to quicken drug development pipelines and potentially improve prognosis.
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Affiliation(s)
- Sarah Gregory
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh, Edinburgh, UK.
| | - Stina Saunders
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh, Edinburgh, UK
| | - Craig W Ritchie
- Edinburgh Dementia Prevention, Centre for Clinical Brain Sciences, Outpatient Department 2, Western General Hospital, University of Edinburgh, Edinburgh, UK; Brain Health Scotland, Edinburgh, UK
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16
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Chi CH, Yang FC, Chang YL. Age-related volumetric alterations in hippocampal subiculum region are associated with reduced retention of the “when” memory component. Brain Cogn 2022; 160:105877. [DOI: 10.1016/j.bandc.2022.105877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 04/18/2022] [Accepted: 04/22/2022] [Indexed: 11/02/2022]
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17
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Yeung MK, Chau AKY, Chiu JYC, Shek JTL, Leung JPY, Wong TCH. Differential and subtype-specific neuroimaging abnormalities in amnestic and nonamnestic mild cognitive impairment: A systematic review and meta-analysis. Ageing Res Rev 2022; 80:101675. [PMID: 35724862 DOI: 10.1016/j.arr.2022.101675] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 06/09/2022] [Accepted: 06/14/2022] [Indexed: 11/25/2022]
Abstract
While mild cognitive impairment (MCI) has been classified into amnestic MCI (aMCI) and nonamnestic MCI (naMCI), the neuropathological bases of these two subtypes remain elusive. Here, we performed a systematic review and meta-analysis to determine the subtype specificity of neuroimaging abnormalities in MCI and to identify neural features that may differ between aMCI and naMCI. We synthesized 50 studies that used common neuroimaging modalities, including magnetic resonance imaging and positron emission tomography, to compare brain atrophy, white matter abnormalities, cortical thinning, cerebral hypometabolism, amyloid/tau deposition, or other features among aMCI, naMCI, and normal cognition. Compared with normal cognition, aMCI shows diverse neuroimaging abnormalities of large effect sizes. In contrast, naMCI exhibits restricted abnormalities of small effect sizes. Some features, including medial temporal lobe atrophy and white matter abnormalities, are shared by the two MCI subtypes. Overall, brain abnormalities are worse, if not similar, in aMCI than in naMCI. The only neuroimaging abnormality specific to aMCI is increased amyloid burden; no feature specific to naMCI was found. Taken together, our findings have elucidated the neuropathological changes that occur in aMCI and naMCI. Clarifying the neuroimaging profiles of aMCI and naMCI can improve the early identification, differentiation, and intervention of prodromal dementia.
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Affiliation(s)
- Michael K Yeung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China; University Research Facility in Behavioral and Systems Neuroscience, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China.
| | - Anson Kwok-Yun Chau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jason Yin-Chuen Chiu
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jay Tsz-Lok Shek
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Jody Po-Yi Leung
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
| | - Toby Chun-Ho Wong
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
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Won J, Nielson KA, Smith JC. Subjective Well-Being and Bilateral Anterior Insula Functional Connectivity After Exercise Intervention in Older Adults With Mild Cognitive Impairment. Front Neurosci 2022; 16:834816. [PMID: 35620672 PMCID: PMC9128803 DOI: 10.3389/fnins.2022.834816] [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: 12/13/2021] [Accepted: 04/19/2022] [Indexed: 11/29/2022] Open
Abstract
While it is well known that exercise training is associated with improvement in subjective well-being among older adults, it is unclear if individuals with cognitive impairment experience the same effects elicited by exercise on subjective well-being. We further explored whether the bilateral anterior insula network may be an underlying neural mechanism for the exercise training-related improvements in subjective well-being. We investigated the effects of exercise training on subjective well-being in older adults (78.4 ± 7.1 years) with mild cognitive impairment (MCI; n = 14) and a cognitively normal (CN; n = 14) control group. We specifically assessed the relationship between changes in subjective well-being and changes in functional connectivity (FC) with the bilateral anterior insula from before to after exercise training. Cardiorespiratory fitness, subjective well-being, and resting-state fMRI were measured before and after a 12-week moderate-intensity walking intervention. A seed-based correlation analysis was conducted using the bilateral anterior insula as a priori seed regions of interest. The associations between bilateral anterior insula FC with other brain regions and subjective well-being were computed before and after exercise training, respectively, and the statistical difference between the correlations (before vs after exercise training) was evaluated. There was a significant Group (MCI vs CN) × Time (before vs after exercise training) interaction for subjective well-being, such that while those with MCI demonstrated significantly increased subjective well-being after exercise training, no changes in subjective well-being were observed in CN. Participants with MCI also showed an exercise training-related increase in the bilateral anterior insula FC. While there was no significant correlation between subjective well-being and bilateral anterior insula FC before exercise training, a positive association between subjective well-being and bilateral anterior insula FC was found in the MCI group after exercise training. Our findings indicate that 12 weeks of exercise training may enhance subjective well-being in older adults diagnosed with MCI and, further, suggest that increased bilateral anterior insula FC with other cortical regions may reflect neural network plasticity associated with exercise training-related improvements in subjective well-being.
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Affiliation(s)
- Junyeon Won
- Department of Kinesiology, University of Maryland, College Park, MD, United States
| | - Kristy A. Nielson
- Department of Psychology, Marquette University, Milwaukee, WI, United States
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - J. Carson Smith
- Department of Kinesiology, University of Maryland, College Park, MD, United States
- Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, United States
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19
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He M, Li Y, Zhou L, Li Y, Lei T, Yan W, Song J, Chen L. Relationships Between Memory Impairments and Hippocampal Structure in Patients With Subcortical Ischemic Vascular Disease. Front Aging Neurosci 2022; 14:823535. [PMID: 35517055 PMCID: PMC9062133 DOI: 10.3389/fnagi.2022.823535] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background and PurposePatients with subcortical ischemic vascular disease (SIVD) suffer from memory disorders that are thought to be associated with the hippocampus. We aimed to explore changes in hippocampal subfields and the relationship between different hippocampal subfield volumes and different types of memory dysfunction in SIVD patients.MethodsA total of 77 SIVD patients with cognitive impairment (SIVD-CI, n = 39) or normal cognition (HC-SIVD, n = 38) and 41 matched healthy controls (HCs) were included in this study. Memory function was measured in all subjects, and structural magnetic resonance imaging (MRI) was performed. Then, the hippocampus was segmented and measured by FreeSurfer 6.0 software. One-way ANOVA was used to compare the volume of hippocampal subfields among the three groups while controlling for age, sex, education and intracranial volume (ICV). Then, post hoc tests were used to evaluate differences between each pair of groups. Finally, correlations between significantly different hippocampal subfield volumes and memory scores were tested in SIVD patients.ResultsAlmost all hippocampal subfields were significantly different among the three groups except for the bilateral hippocampal fissure (p = 0.366, p = 0.086, respectively.) and left parasubiculum (p = 0.166). Furthermore, the SIVD-CI patients showed smaller volumes in the right subiculum (p < 0.001), CA1 (p = 0.002), presubiculum (p = 0.002) and molecular layer of the hippocampus (p = 0.017) than the HC-SIVD patients. In addition, right subiculum volumes were positively related to Rey’s Auditory Verbal Learning Test (RAVLT) word recognition (r = 0.230, p = 0.050), reverse digit span test (R-DST) (r = 0.326, p = 0.005) and Rey–Osterrieth Complex Figure Test (ROCF) immediate recall (r = 0.247, p = 0.035) scores, right CA1 volumes were positively correlated with RAVLT word recognition (r = 0.261, p = 0.026), and right presubiculum volumes showed positive relationships with R-DST (r = 0.254, p = 0.030) and ROCF immediate recall (r = 0.242, p = 0.039) scores.ConclusionSIVD might lead to general reductions in volume in multiple hippocampal subfields. However, SIVD-CI patients showed atrophy in specific subfields, which might be associated with memory deficits.
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Affiliation(s)
- Miao He
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- Department of Radiology, Gaoping District People’s Hospital, Nanchong, China
| | - Yang Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Lijing Zhou
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Yajun Li
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Ting Lei
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Wei Yan
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Jiarui Song
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Li Chen
- Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
- *Correspondence: Li Chen,
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20
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Hippocampal Volumes in Amnestic and Non-Amnestic Mild Cognitive Impairment Types Using Two Common Methods of MCI Classification. J Int Neuropsychol Soc 2022; 28:391-400. [PMID: 34130767 DOI: 10.1017/s1355617721000564] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVES Mild cognitive impairment (MCI) types may have distinct neuropathological substrates with hippocampal atrophy particularly common in amnestic MCI (aMCI). However, depending on the MCI classification criteria applied to the sample (e.g., number of abnormal test scores considered or thresholds for impairment), volumetric findings between MCI types may change. Additionally, despite increased clinical use, no prior research has examined volumetric differences in MCI types using the automated volumetric software, Neuroreader™. METHODS The present study separately applied the Petersen/Winblad and Jak/Bondi MCI criteria to a clinical sample of older adults (N = 82) who underwent neuropsychological testing and brain MRI. Volumetric data were analyzed using Neuroreader™ and hippocampal volumes were compared between aMCI and non-amnestic MCI (naMCI). RESULTS T-tests revealed that regardless of MCI classification criteria, hippocampal volume z-scores were significantly lower in aMCI compared to naMCI (p's < .05), and hippocampal volume z-scores significantly differed from 0 (Neuroreader™ normative mean) in the aMCI group only (p's < .05). Additionally, significant, positive correlations were found between measures of delayed recall and hippocampal z-scores in aMCI using either MCI classification criteria (p's < .05). CONCLUSIONS We provide evidence of correlated neuroanatomical changes associated with memory performance for two commonly used neuropsychological MCI classification criteria. Future research should investigate the clinical utility of hippocampal volumes analyzed via Neuroreader™ in MCI.
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21
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Saunders S, Ritchie CW, Russ TC, Muniz-Terrera G, Milne R. Assessing and disclosing test results for ‘mild cognitive impairment’: the perspective of old age psychiatrists in Scotland. BMC Geriatr 2022; 22:50. [PMID: 35022025 PMCID: PMC8754072 DOI: 10.1186/s12877-021-02693-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 11/15/2021] [Indexed: 03/11/2023] Open
Abstract
Abstract
Background
Mild cognitive impairment (MCI) is a condition that exists between normal healthy ageing and dementia with an uncertain aetiology and prognosis. This uncertainty creates a complex dynamic between the clinicians’ conception of MCI, what is communicated to the individual about their condition, and how the individual responds to the information conveyed to them. The aim of this study was to explore clinicians’ views around the assessment and communication of MCI in memory clinics.
Method
As part of a larger longitudinal study looking at patients’ adjustment to MCI disclosure, we interviewed Old Age Psychiatrists at the five participating sites across Scotland. The study obtained ethics approvals and the interviews (carried out between Nov 2020–Jan 2021) followed a semi-structured schedule focusing on [1] how likely clinicians are to use the term MCI with patients; [2] what tests clinicians rely on and how much utility they see in them; and [3] how clinicians communicate risk of progression to dementia. The interviews were voice recorded and were analysed using reflective thematic analysis.
Results
Initial results show that most clinicians interviewed (Total N = 19) considered MCI to have significant limitations as a diagnostic term. Nevertheless, most clinicians reported using the term MCI (n = 15/19). Clinical history was commonly described as the primary aid in the diagnostic process and also to rule out functional impairment (which was sometimes corroborated by Occupational Therapy assessment). All clinicians reported using the Addenbrooke’s Cognitive Examination-III as a primary assessment tool. Neuroimaging was frequently found to have minimal usefulness due to the neuroradiological reports being non-specific.
Conclusion
Our study revealed a mixture of approaches to assessing and disclosing test results for MCI. Some clinicians consider the condition as a separate entity among neurodegenerative disorders whereas others find the term unhelpful due to its uncertain prognosis. Clinicians report a lack of specific and sensitive assessment methods for identifying the aetiology of MCI in clinical practice. Our study demonstrates a broad range of views and therefore variability in MCI risk disclosure in memory assessment services which may impact the management of individuals with MCI.
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22
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OUP accepted manuscript. Arch Clin Neuropsychol 2022; 37:1502-1514. [DOI: 10.1093/arclin/acac018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2022] [Indexed: 11/13/2022] Open
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23
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Broadhouse KM, Winks NJ, Summers MJ. Fronto-temporal functional disconnection precedes hippocampal atrophy in clinically confirmed multi-domain amnestic Mild Cognitive Impairment. EXCLI JOURNAL 2021; 20:1458-1473. [PMID: 34737688 PMCID: PMC8564906 DOI: 10.17179/excli2021-4191] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/08/2021] [Indexed: 11/26/2022]
Abstract
Mild Cognitive Impairment (MCI) is fraught with high false positive diagnostic errors. The high rate of false positive diagnosis hampers attempts to identify reliable and valid biomarkers for MCI. Recent research suggests that aberrant functional neurocircuitries emerge prior to significant cognitive deficits. The aim of the present study was to examine this in clinically confirmed multi-domain amnestic-MCI (mdaMCI) using an established, multi-time point, methodology for minimizing false positive diagnosis. Structural and resting-state functional MRI data were acquired in healthy controls (HC, n=24), clinically-confirmed multi-domain amnestic-MCI (mdaMCI, n=14) and mild Alzheimer's Dementia (mAD, n=6). Group differences in cortical thickness, hippocampal volume and functional connectivity were investigated. Hippocampal subvolumes differentiated mAD from HC and mdaMCI. Functional decoupling of fronto-temporal networks implicated in memory and executive function differentiated HC and mdaMCI. Decreased functional connectivity in these networks was associated with poorer cognitive performance scores. Preliminary findings suggest the large-scale decoupling of fronto-temporal networks associated with cognitive decline precedes measurable structural neurodegeneration in clinically confirmed MCI and may represent a potential biomarker for disease progression.
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Affiliation(s)
- Kathryn M Broadhouse
- The University of the Sunshine Coast, School of Science and Engineering, Sunshine Coast, QLD, Australia
| | - Natalie J Winks
- Sunshine Coast University Hospital, Sunshine Coast Hospital and Health Service, Birtinya, QLD, Australia
| | - Mathew J Summers
- The University of the Sunshine Coast, School of Health and Behavioural Sciences, Maroochydore, QLD, Australia
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24
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Cremona S, Zago L, Mellet E, Petit L, Laurent A, Pepe A, Tsuchida A, Beguedou N, Joliot M, Tzourio C, Mazoyer B, Crivello F. Novel characterization of the relationship between verbal list-learning outcomes and hippocampal subfields in healthy adults. Hum Brain Mapp 2021; 42:5264-5277. [PMID: 34453474 PMCID: PMC8519870 DOI: 10.1002/hbm.25614] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/29/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022] Open
Abstract
The relationship between hippocampal subfield volumetry and verbal list‐learning test outcomes have mostly been studied in clinical and elderly populations, and remain controversial. For the first time, we characterized a relationship between verbal list‐learning test outcomes and hippocampal subfield volumetry on two large separate datasets of 447 and 1,442 healthy young and middle‐aged adults, and explored the processes that could explain this relationship. We observed a replicable positive linear correlation between verbal list‐learning test free recall scores and CA1 volume, specific to verbal list learning as demonstrated by the hippocampal subfield volumetry independence from verbal intelligence. Learning meaningless items was also positively correlated with CA1 volume, pointing to the role of the test design rather than word meaning. Accordingly, we found that association‐based mnemonics mediated the relationship between verbal list‐learning test outcomes and CA1 volume. This mediation suggests that integrating items into associative representations during verbal list‐learning tests explains CA1 volume variations: this new explanation is consistent with the associative functions of the human CA1.
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Affiliation(s)
- Sandrine Cremona
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laure Zago
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Emmanuel Mellet
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laurent Petit
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Alexandre Laurent
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Antonietta Pepe
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Ami Tsuchida
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Naka Beguedou
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Marc Joliot
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux - Département Santé publique, INSERM, BPH U 1219, Bordeaux, France
| | - Bernard Mazoyer
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France.,Institut des maladies neurodégénératives clinique, CHU de Bordeaux, Bordeaux, France
| | - Fabrice Crivello
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
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Won J, Callow DD, Pena GS, Jordan LS, Arnold-Nedimala NA, Nielson KA, Smith JC. Hippocampal Functional Connectivity and Memory Performance After Exercise Intervention in Older Adults with Mild Cognitive Impairment. J Alzheimers Dis 2021; 82:1015-1031. [PMID: 34151792 PMCID: PMC8461699 DOI: 10.3233/jad-210051] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Background: Exercise training (ET) has neuroprotective effects in the hippocampus, a key brain region for memory that is vulnerable to age-related dysfunction. Objective: We investigated the effects of ET on functional connectivity (FC) of the hippocampus in older adults with mild cognitive impairment (MCI) and a cognitively normal (CN) control group. We also assessed whether the ET-induced changes in hippocampal FC (Δhippocampal-FC) are associated with changes in memory task performance (Δmemory performance). Methods: 32 older adults (77.0±7.6 years; 16 MCI and 16 CN) participated in the present study. Cardiorespiratory fitness tests, memory tasks (Rey Auditory Verbal Learning Test (RAVLT) and Logical Memory Test (LM)), and resting-state fMRI were administered before and after a 12-week walking ET intervention. We utilized a seed-based correlation analysis using the bilateral anterior and posterior hippocampi as priori seed regions of interest. The associations of residualized ET-induced Δhippocampal-FC and Δmemory performance were assessed using linear regression. Results: There were significant improvements in RAVLT Trial 1 and LM test performance after ET across participants. At baseline, MCI, compared to CN, demonstrated significantly lower posterior hippocampal FC. ET was associated with increased hippocampal FC across groups. Greater ET-related anterior and posterior hippocampal FC with right posterior cingulate were associated with improved LM recognition performance in MCI participants. Conclusion: Our findings indicate that hippocampal FC is significantly increased following 12-weeks of ET in older adults and, moreover, suggest that increased hippocampal FC may reflect neural network plasticity associated with ET-related improvements in memory performance in individuals diagnosed with MCI.
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Affiliation(s)
- Junyeon Won
- Department of Kinesiology, University of Maryland, College Park, MD, USA
| | - Daniel D Callow
- Department of Kinesiology, University of Maryland, College Park, MD, USA.,Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA
| | - Gabriel S Pena
- Department of Kinesiology, University of Maryland, College Park, MD, USA
| | - Leslie S Jordan
- Department of Kinesiology, University of Maryland, College Park, MD, USA.,Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA
| | | | - Kristy A Nielson
- Department of Psychology, Marquette University, Milwaukee, WI, USA.,Department of Neuropsychology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - J Carson Smith
- Department of Kinesiology, University of Maryland, College Park, MD, USA.,Program in Neuroscience and Cognitive Science, University of Maryland, College Park, MD, USA
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Leung IHK, Broadhouse KM, Mowszowski L, LaMonica HM, Palmer JR, Hickie IB, Naismith SL, Duffy SL. Association between lifetime depression history, hippocampal volume and memory in non-amnestic mild cognitive impairment. Eur J Neurosci 2021; 54:4953-4970. [PMID: 33765347 DOI: 10.1111/ejn.15207] [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: 12/21/2020] [Revised: 03/01/2021] [Accepted: 03/14/2021] [Indexed: 11/28/2022]
Abstract
Hippocampal subfield volume loss in older adults with amnestic mild cognitive impairment (aMCI) and depression history are associated with amyloid beta and tau pathology, thereby increasing the risk for Alzheimer's disease (AD). However, no studies have exclusively examined distinct alterations in hippocampal subfields in non-amnestic MCI (naMCI) in relation to depression history. Here, we used both longitudinal and transverse hippocampal segmentation methods using the automated FreeSurfer software to examine whether a lifetime depression history is associated with differences in hippocampal head/body/tail (H/B/T) and key subfield volumes (CA1, subiculum, dentate gyrus) in older adults with naMCI. Further, we explored whether differences in hippocampal H/B/T and subfield volumes were associated with structured and unstructured verbal encoding and retention, comparing those with and without a depression history. The naMCI with a depression history group demonstrated larger or relatively preserved right CA1 volumes, which were associated with better unstructured verbal encoding and as well as structured verbal memory retention. This association between memory encoding and hippocampal CA1 and total head volume was significantly different to those with no depression history. The relationship between right CA1 volume and memory retention was also moderated by depression history status F (5,143) = 7.84, p < 0.001, R2 = 0.22. Those participants taking antidepressants had significantly larger hippocampal subiculum (p = 0.008), and right hippocampal body (p = 0.004) and better performance on structured encoding (p = 0.011) and unstructured memory retention (p = 0.009). These findings highlight the importance of lifetime depression history and antidepressant use on the hippocampus and encoding and memory retention in naMCI.
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Affiliation(s)
- Isabella Hoi Kei Leung
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Kathryn Mary Broadhouse
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Science and Engineering, University of the Sunshine Coast, Sunshine Coast, QLD, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Haley M LaMonica
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Jake Robert Palmer
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Ian B Hickie
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Shantel Leigh Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, NSW, Australia
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Michaelian JC, Duffy SL, Mowszowski L, Guastella AJ, McCade D, McKinnon AC, Naismith SL. Poorer Theory of Mind in Amnestic Mild Cognitive Impairment Is Associated with Decreased Functional Connectivity in the Default Mode Network. J Alzheimers Dis 2021; 81:1079-1091. [PMID: 33843670 DOI: 10.3233/jad-201284] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Older adults living with amnestic mild cognitive impairment (aMCI) not only demonstrate impairments in Theory of Mind (ToM), relative to adults with non-amnestic MCI (naMCI), but are also at a higher risk of developing dementia. OBJECTIVE Our primary objective was to ascertain whether default mode network (DMN) functional connectivity was differentially associated with ToM abilities between MCI subgroups. METHODS Using functional magnetic resonance imaging, we investigated alterations in resting-state functional connectivity within the brain's DMN in a sample of 43 older adults with aMCI (n = 19) and naMCI (n = 24), previously reported to demonstrate poorer ToM abilities. RESULTS Compared to naMCI, the aMCI subgroup revealed a significant association between poorer ToM performance and reduced functional connectivity between the bilateral temporal pole (TempP) and the left lateral temporal cortex (LTC) (LTC_L-TempP_L: b = -0.06, t(33) = -3.53, p = 0.02; LTC_L-TempP_R: b = -0.07,t(33) = -3.20, p = 0.03); between the right TempP and the dorsal medial prefrontal cortex (dMPFC) (b = -0.04, t(33) = -3.02, p = 0.03) and between the left and right TempP (b = -0.05, t(33) = -3.26, p = 0.03). In the naMCI subgroup, the opposite relationship was present between the bilateral TempP and the left LTC (Combined correlation: r = -0.47, p = 0.02), however, not between the right TempP and the dMPFC (r = -0.14, p = 0.51) or the left and right TempP (r = -0.31, p = 0.14). CONCLUSION Our findings suggest that alterations in functional connectivity within the DMN involving temporal and frontal lobe regions are associated with ToM deficits in aMCI.
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Affiliation(s)
- Johannes C Michaelian
- School of Psychology, University of Sydney, Sydney, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia.,Brain and Mind Centre, University of Sydney, Sydney, Australia.,Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Shantel L Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia.,Charles Perkins Centre, University of Sydney, Sydney, Australia.,School of Health Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Loren Mowszowski
- School of Psychology, University of Sydney, Sydney, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia.,Brain and Mind Centre, University of Sydney, Sydney, Australia.,Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Adam J Guastella
- Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
| | - Donna McCade
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia
| | - Andrew C McKinnon
- School of Psychology, University of Sydney, Sydney, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia.,Brain and Mind Centre, University of Sydney, Sydney, Australia.,Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Sharon L Naismith
- School of Psychology, University of Sydney, Sydney, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, Australia.,Brain and Mind Centre, University of Sydney, Sydney, Australia.,Charles Perkins Centre, University of Sydney, Sydney, Australia
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Lam A, Haroutonian C, Grummitt L, Ireland C, Grunstein RR, Duffy S, D'Rozario A, Naismith SL. Sleep-Dependent Memory in Older People With and Without MCI: The Relevance of Sleep Microarchitecture, OSA, Hippocampal Subfields, and Episodic Memory. Cereb Cortex 2021; 31:2993-3005. [PMID: 33565576 DOI: 10.1093/cercor/bhaa406] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/15/2020] [Accepted: 12/16/2020] [Indexed: 11/13/2022] Open
Abstract
This study aimed to determine if, relative to cognitively healthy controls, sleep-dependent memory consolidation (SDMC) is diminished in mild cognitive impairment (MCI), a group at high risk of conversion to dementia. We also sought to determine whether SDMC is associated with sleep characteristics, daytime episodic memory, and hippocampal integrity. Participants with MCI (n = 43) and controls (n = 20) underwent clinical and neuropsychological profiling. From polysomnography, apnea hypopnea index (AHI) and non-REM sleep spindle characteristics were derived. From magnetic resonance imaging, hippocampal subfield volumes were computed. Participants learned a novel 32-item word-pair prior to sleep; morning retention of the word-pairs was used to determine SDMC. Results showed that SDMC did not differ between MCI and controls, but there was a large effect size decrement in SDMC in those with multiple domain MCI (Hedge's g = 0.85). In MCI, poorer SDMC was correlated with CA1 and CA3 hippocampal atrophy, shorter spindle duration, and worse daytime episodic memory. In controls, poorer SDMC was associated with higher AHI. Impaired daytime memory consolidation, reduced hippocampal volumes, shorter sleep spindles, and greater sleep apnea severity are indicators of diminished SDMC in older adults and should be explored in future studies.
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Affiliation(s)
- Aaron Lam
- School of Psychology, University of Sydney, Sydney, New South Wales, 2000, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia
| | - Carla Haroutonian
- School of Psychology, University of Sydney, Sydney, New South Wales, 2000, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia
| | - Lucy Grummitt
- School of Psychology, University of Sydney, Sydney, New South Wales, 2000, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia
| | - Catriona Ireland
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia
| | - Ronald R Grunstein
- CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia.,Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, New South Wales, 2000, Australia.,Royal Prince Alfred Hospital, Sydney, New South Wales, 2000, Australia
| | - Shantel Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia
| | - Angela D'Rozario
- School of Psychology, University of Sydney, Sydney, New South Wales, 2000, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia.,CIRUS, Centre for Sleep and Chronobiology, Woolcock Institute of Medical Research, Sydney, New South Wales, 2000, Australia.,Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, New South Wales, 2000, Australia
| | - Sharon L Naismith
- School of Psychology, University of Sydney, Sydney, New South Wales, 2000, Australia.,Healthy Brain Ageing Program, Brain and Mind Centre, The University of Sydney, Camperdown, New South Wales, 2050, Australia.,Centre of Research Excellence to Optimise Sleep in Brain Ageing and Neurodegeneration (CogSleep CRE), Sydney, New South Wales, 2000, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, 2000, Australia
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Liu G, Liu C, Qiu A. Spatial correlation maps of the hippocampus with cerebrospinal fluid biomarkers and cognition in Alzheimer's disease: A longitudinal study. Hum Brain Mapp 2021; 42:2931-2940. [PMID: 33739550 PMCID: PMC8127150 DOI: 10.1002/hbm.25414] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023] Open
Abstract
This study is an observational study that takes the existing longitudinal data from Alzheimer's disease Neuroimaging Initiative to examine the spatial correlation map of hippocampal subfield atrophy with CSF biomarkers and cognitive decline in the course of AD. This study included 421 healthy controls (HC), 557 patients of stable mild cognitive impairment (s‐MCI), 304 Alzheimer's Disease (AD) patients, and 241 subjects who converted to be AD from MCI (c‐MCI), and 6,525 MRI scans in a period from 2004 to 2019. Our findings revealed that all the hippocampal subfields showed their accelerated atrophy rate from cognitively normal aging to stable MCI and AD. The presubiculum, dentate gyrus, and fimbria showed greater atrophy beyond the whole hippocampus in the HC, s‐MCI, and AD groups and corresponded to a greater decline of memory and attention in the s‐MCI group. Moreover, the higher atrophy rates of the subiculum and CA2/3, CA4 were also associated with a greater decline in attention in the s‐MCI group. Interestingly, patients with c‐MCI showed that the presubiculum atrophy was associated with CSF tau levels and corresponded to the onset age of AD and a decline in attention in patients with c‐MCI. These spatial correlation findings of the hippocampus suggested that the hippocampal subfields may not be equally impacted by normal aging, MCI, and AD, and their atrophy was selectively associated with declines in specific cognitive domains. The presubiculum atrophy was highlighted as a surrogate marker for the AD prognosis along with tau pathology and attention decline.
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Affiliation(s)
- Guodong Liu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Chaoqiang Liu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,Smart Systems Institute, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
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30
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Wisse LEM, Chételat G, Daugherty AM, de Flores R, la Joie R, Mueller SG, Stark CEL, Wang L, Yushkevich PA, Berron D, Raz N, Bakker A, Olsen RK, Carr VA. Hippocampal subfield volumetry from structural isotropic 1 mm 3 MRI scans: A note of caution. Hum Brain Mapp 2021; 42:539-550. [PMID: 33058385 PMCID: PMC7775994 DOI: 10.1002/hbm.25234] [Citation(s) in RCA: 78] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/01/2020] [Accepted: 09/29/2020] [Indexed: 01/05/2023] Open
Abstract
Spurred by availability of automatic segmentation software, in vivo MRI investigations of human hippocampal subfield volumes have proliferated in the recent years. However, a majority of these studies apply automatic segmentation to MRI scans with approximately 1 × 1 × 1 mm3 resolution, a resolution at which the internal structure of the hippocampus can rarely be visualized. Many of these studies have reported contradictory and often neurobiologically surprising results pertaining to the involvement of hippocampal subfields in normal brain function, aging, and disease. In this commentary, we first outline our concerns regarding the utility and validity of subfield segmentation on 1 × 1 × 1 mm3 MRI for volumetric studies, regardless of how images are segmented (i.e., manually or automatically). This image resolution is generally insufficient for visualizing the internal structure of the hippocampus, particularly the stratum radiatum lacunosum moleculare, which is crucial for valid and reliable subfield segmentation. Second, we discuss the fact that automatic methods that are employed most frequently to obtain hippocampal subfield volumes from 1 × 1 × 1 mm3 MRI have not been validated against manual segmentation on such images. For these reasons, we caution against using volumetric measurements of hippocampal subfields obtained from 1 × 1 × 1 mm3 images.
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Affiliation(s)
- Laura E. M. Wisse
- Diagnostic RadiologyLund UniversityLundSweden
- Penn Image Computing and Science Laboratory, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Penn Memory Center, Department of NeurologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Gaël Chételat
- Université Normandie, InsermUniversité de Caen‐Normandie, Inserm UMR‐S U1237CaenFrance
| | - Ana M. Daugherty
- Department of PsychologyWayne State UniversityDetroitMichiganUSA
- Institute of GerontologyWayne State UniversityDetroitMichiganUSA
- Department of Psychiatry and Behavioral NeurosciencesWayne State UniversityDetroitMichiganUSA
| | - Robin de Flores
- Université Normandie, InsermUniversité de Caen‐Normandie, Inserm UMR‐S U1237CaenFrance
| | - Renaud la Joie
- Memory and Aging CenterUniversity of California San FranciscoSan FranciscoCaliforniaUSA
| | - Susanne G. Mueller
- Department of RadiologyUniversity of California San FranciscoSan FranciscoCaliforniaUSA
- Center for Imaging of Neurodegenerative DiseasesSan Francisco VA Medical CenterSan FranciscoCaliforniaUSA
| | - Craig E. L. Stark
- Department of Neurobiology and BehaviorUniversity of California IrvineIrvineCaliforniaUSA
| | - Lei Wang
- Department of Psychiatry and Behavioral SciencesNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
- Department of RadiologyNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Paul A. Yushkevich
- Penn Image Computing and Science Laboratory, Department of RadiologyUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - David Berron
- Clinical Memory Research Unit, Department of Clinical Sciences MalmöLund UniversityLundSweden
| | - Naftali Raz
- Department of PsychologyWayne State UniversityDetroitMichiganUSA
- Institute of GerontologyWayne State UniversityDetroitMichiganUSA
- Center for Lifespan PsychologyMax Planck Institute for Human DevelopmentBerlinGermany
| | - Arnold Bakker
- Department of Psychiatry and Behavioral SciencesJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | | | - Valerie A. Carr
- Department of PsychologySan Jose State UniversitySan JoseCaliforniaUSA
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31
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Wei K, Tran TT, Chang PW, Malekie A, Chu K, Alhilali L, Borzage MT, Mena E, Harrington MG, King KS. MRI Automated T1 Signal Intensity Detection of Diffuse Brain Manganese Accumulation in Cirrhosis. J Neuroimaging 2020; 31:186-191. [PMID: 33146918 DOI: 10.1111/jon.12781] [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: 05/22/2020] [Revised: 08/20/2020] [Accepted: 08/21/2020] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Cirrhosis is associated with diffuse brain manganese deposition, which results in increased signal intensity (SI) in the brain on T1-weighted images, most often visualized in the globus pallidus. The purpose of this study was to determine if automated image intensity measurements can detect SI differences in the basal ganglia and other regions reported to have manganese deposition in patients with cirrhosis compared with controls. METHODS T1 FSPGR images were acquired on 28 patients with cirrhosis and 28 age-sex-matched controls. FreeSurfer T1 SI values were obtained for the globus pallidus, putamen, cerebral white matter, cerebral cortex, and brainstem. SI ratios were computed for globus pallidus normalized to white matter and brainstem. SI values and SI ratios were compared between groups using t-tests. RESULTS Among people with cirrhosis, T1 SI was significantly increased in the globus pallidus, putamen, cerebral white matter, cerebral cortex, and brainstem (P< .001), and the globus pallidus to brainstem ratio was significantly increased (P< .001). No significant difference was seen for globus pallidus to cerebral white matter T1 SI ratio (P = .38). CONCLUSIONS Automatic assessment of T1 SI allows for rapid, objective identification of widespread T1 shortening associated with manganese deposition in cirrhosis, consistent with the global deposition of neurotoxic manganese seen in pathology studies. This automated T1 assessment may have broader utility for other conditions beyond cirrhosis impacting T1 SI.
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Affiliation(s)
- Ke Wei
- Imaging Center, Huntington Medical Research Institutes, Pasadena, CA
| | - Thao T Tran
- Imaging Center, Huntington Medical Research Institutes, Pasadena, CA
| | - Patrick W Chang
- Internal Medicine, Keck School of Medicine at USC, Los Angeles, CA
| | - Annie Malekie
- Imaging Center, Huntington Medical Research Institutes, Pasadena, CA
| | - Karen Chu
- Imaging Center, Huntington Medical Research Institutes, Pasadena, CA
| | - Lea Alhilali
- Neuroradiology, Barrow Neurological Institute, Phoenix, AZ
| | - Matthew T Borzage
- Fetal and Neonatal Institute, Division of Neonatology, Children's Hospital Los Angeles, Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | | | | | - Kevin S King
- Imaging Center, Huntington Medical Research Institutes, Pasadena, CA
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Busatto Filho G, Duran FLDS, Squarzoni P, Coutinho AMN, Rosa PGP, Torralbo L, Pachi CGDF, da Costa NA, Porto FHDG, Carvalho CL, Brucki SMD, Nitrini R, Forlenza OV, Leite CDC, Buchpiguel CA, de Paula Faria D. Hippocampal subregional volume changes in elders classified using positron emission tomography-based Alzheimer's biomarkers of β-amyloid deposition and neurodegeneration. J Neurosci Res 2020; 99:481-501. [PMID: 33073383 DOI: 10.1002/jnr.24739] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 09/16/2020] [Accepted: 09/30/2020] [Indexed: 12/14/2022]
Abstract
Changes in hippocampal subfield volumes (HSV) along the Alzheimer's disease (AD) continuum have been scarcely investigated to date in elderly subjects classified based on the presence of β-amyloid aggregation and signs of neurodegeneration. We classified patients (either sex) with mild dementia compatible with AD (n = 35) or amnestic mild cognitive impairment (n = 39), and cognitively unimpaired subjects (either sex; n = 26) using [11 C]PIB-PET to assess β-amyloid aggregation (A+) and [18 F]FDG-PET to account for neurodegeneration ((N)+). Magnetic resonance imaging-based automated methods were used for HSV and white matter hyperintensity (WMH) measurements. Significant HSV reductions were found in A+(N)+ subjects in the presubiculum/subiculum complex and molecular layer, related to worse memory performance. In both the A+(N)+ and A+(N)- categories, subicular volumes were inversely correlated with the degree of Aβ deposition. The A-(N)+ subgroup showed reduced HSV relative to the A-(N)- subgroup also in the subiculum/presubiculum. Combining all (N)- subjects, HSV were lower in subjects presenting significant cognitive decline irrespective of A+/A- classification (controlling for WMH load); these between-group differences were detected again in the presubiculum, but also involved the CA4 and granular layer. These findings demonstrate that differential HSV reductions are detectable both in (N)+ and (N)- categories along the AD continuum, and are directly related to the severity of cognitive deficits. HSV reductions are larger both in A+(N)+ and A+(N)- subjects in direct proportion to the degree of Aβ deposition. The meaningful HSV reductions detected in the A-(N)+ subgroup highlights the strength of biomarker-based classifications outside of the classical AD continuum.
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Affiliation(s)
- Geraldo Busatto Filho
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabio Luiz de Souza Duran
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Paula Squarzoni
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Artur Martins Novaes Coutinho
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Pedro Gomes Penteado Rosa
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Leticia Torralbo
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Clarice Gameiro da Fonseca Pachi
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Naomi Antunes da Costa
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Fabio Henrique de Gobbi Porto
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Cleudiana Lima Carvalho
- Laboratory of Psychiatric Neuroimaging (LIM 21), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Sonia Maria Dozzi Brucki
- Department of Neurology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Ricardo Nitrini
- Department of Neurology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Orestes Vicente Forlenza
- Laboratory of Neuroscience (LIM 27), Department of Psychiatry, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Claudia da Costa Leite
- Laboratory of Magnetic Resonance in Neuroradiology (LIM44), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Carlos Alberto Buchpiguel
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Daniele de Paula Faria
- Laboratory of Nuclear Medicine (LIM43), Department of Radiology and Oncology, Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Sao Paulo, Brazil
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Broadhouse KM, Singh MF, Suo C, Gates N, Wen W, Brodaty H, Jain N, Wilson GC, Meiklejohn J, Singh N, Baune BT, Baker M, Foroughi N, Wang Y, Kochan N, Ashton K, Brown M, Li Z, Mavros Y, Sachdev PS, Valenzuela MJ. Hippocampal plasticity underpins long-term cognitive gains from resistance exercise in MCI. Neuroimage Clin 2020; 25:102182. [PMID: 31978826 PMCID: PMC6974789 DOI: 10.1016/j.nicl.2020.102182] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 01/13/2020] [Accepted: 01/13/2020] [Indexed: 01/15/2023]
Abstract
Dementia affects 47 million individuals worldwide, and assuming the status quo is projected to rise to 150 million by 2050. Prevention of age-related cognitive impairment in older persons with lifestyle interventions continues to garner evidence but whether this can combat underlying neurodegeneration is unknown. The Study of Mental Activity and Resistance Training (SMART) trial has previously reported within-training findings; the aim of this study was to investigate the long-term neurostructural and cognitive impact of resistance exercise in Mild Cognitive Impairment (MCI). For the first time we show that hippocampal subareas particularly susceptible to volume loss in Alzheimer's disease (AD) are protected by resistance exercise for up to one year after training. One hundred MCI participants were randomised to one of four training groups: (1) Combined high intensity progressive resistance and computerised cognitive training (PRT+CCT), (2) PRT+Sham CCT, (3) CCT+Sham PRT, (4) Sham physical+sham cognitive training (SHAM+SHAM). Physical, neuropsychological and MRI assessments were carried out at baseline, 6 months (directly after training) and 18 months from baseline (12 months after intervention cessation). Here we report neuro-structural and functional changes over the 18-month trial period and the association with global cognitive and executive function measures. PRT but not CCT or PRT+CCT led to global long-term cognitive improvements above SHAM intervention at 18-month follow-up. Furthermore, hippocampal subfields susceptible to atrophy in AD were protected by PRT revealing an elimination of long-term atrophy in the left subiculum, and attenuation of atrophy in left CA1 and dentate gyrus when compared to SHAM+SHAM (p = 0.023, p = 0.020 and p = 0.027). These neuroprotective effects mediated a significant portion of long-term cognitive benefits. By contrast, within-training posterior cingulate plasticity decayed after training cessation and was unrelated to long term cognitive benefits. Neither general physical activity levels nor fitness change over the 18-month period mediated hippocampal trajectory, demonstrating that enduring hippocampal subfield plasticity is not a simple reflection of post-training changes in fitness or physical activity participation. Notably, resting-state fMRI analysis revealed that both the hippocampus and posterior cingulate participate in a functional network that continued to be upregulated following intervention cessation. Multiple structural mechanisms may contribute to the long-term global cognitive benefit of resistance exercise, developing along different time courses but functionally linked. For the first time we show that 6 months of high intensity resistance exercise is capable of not only promoting better cognition in those with MCI, but also protecting AD-vulnerable hippocampal subfields from degeneration for at least 12 months post-intervention. These findings emphasise the therapeutic potential of resistance exercise; however, future work will need to establish just how long-lived these outcomes are and whether they are sufficient to delay dementia.
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Affiliation(s)
- Kathryn M Broadhouse
- Nola Thompson Centre for Advanced Imaging, Sunshine Coast Mind and Neuroscience Thompson Institute, University of the Sunshine Coast, QLD, Australia; Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia.
| | - Maria Fiatarone Singh
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia; Hebrew SeniorLife and Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Chao Suo
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia
| | - Nicola Gates
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Wei Wen
- School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia; Dementia Collaborative Research Centre, University of New South Wales, Sydney, NSW, Australia
| | - Nidhi Jain
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Guy C Wilson
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Jacinda Meiklejohn
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Nalin Singh
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Bernhard T Baune
- Department of Psychiatry, School of Medicine, University of Adelaide, Adelaide, SA, Australia
| | - Michael Baker
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia; School of Exercise Science, Australian Catholic University, Strathfield, NSW, Australia
| | - Nasim Foroughi
- Clinical and Rehabilitation Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia
| | - Yi Wang
- Clinical and Rehabilitation Research Group, Faculty of Health Sciences, The University of Sydney, Lidcombe, NSW, Australia; Department of Medicine and the Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
| | - Nicole Kochan
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Kevin Ashton
- Biomedical Sciences, Faculty of Health Sciences and Medicine, Bond University, QLD, Australia
| | - Matt Brown
- Institute of Health and Biomedical Innovation, Queensland University of Technology, QLD, Australia; King's College London National Institutes of Health Biomedical Research Centre, UK
| | - Zhixiu Li
- Institute of Health and Biomedical Innovation, Queensland University of Technology, QLD, Australia
| | - Yorgi Mavros
- Physical Activity, Lifestyle, Ageing and Wellbeing Faculty Research Group, Faculty of Health Sciences and Sydney Medical School, The University of Sydney, Lidcombe, NSW, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Michael J Valenzuela
- Regenerative Neuroscience Group, Brain and Mind Centre and Sydney Medical School, The University of Sydney, Sydney, NSW, Australia; School of Medical Sciences, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.
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