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Aleksic S, Fleysher R, Weiss EF, Tal N, Darby T, Blumen HM, Vazquez J, Ye KQ, Gao T, Siegel SM, Barzilai N, Lipton ML, Milman S. Hypothalamic MRI-derived microstructure is associated with neurocognitive aging in humans. Neurobiol Aging 2024; 141:102-112. [PMID: 38850591 PMCID: PMC11295133 DOI: 10.1016/j.neurobiolaging.2024.05.018] [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: 08/08/2023] [Revised: 05/17/2024] [Accepted: 05/31/2024] [Indexed: 06/10/2024]
Abstract
The hypothalamus regulates homeostasis across the lifespan and is emerging as a regulator of aging. In murine models, aging-related changes in the hypothalamus, including microinflammation and gliosis, promote accelerated neurocognitive decline. We investigated relationships between hypothalamic microstructure and features of neurocognitive aging, including cortical thickness and cognition, in a cohort of community-dwelling older adults (age range 65-97 years, n=124). Hypothalamic microstructure was evaluated with two magnetic resonance imaging diffusion metrics: mean diffusivity (MD) and fractional anisotropy (FA), using a novel image processing pipeline. Hypothalamic MD was cross-sectionally positively associated with age and it was negatively associated with cortical thickness. Hypothalamic FA, independent of cortical thickness, was cross-sectionally positively associated with neurocognitive scores. An exploratory analysis of longitudinal neurocognitive performance suggested that lower hypothalamic FA may predict cognitive decline. No associations between hypothalamic MD, age, and cortical thickness were identified in a younger control cohort (age range 18-63 years, n=99). To our knowledge, this is the first study to demonstrate that hypothalamic microstructure is associated with features of neurocognitive aging in humans.
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Affiliation(s)
- Sandra Aleksic
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States.
| | - Roman Fleysher
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States; Department of Radiology, Albert Einstein College of Medicine, Gruss Magnetic Resonance Research Center, Bronx, NY, United States
| | - Erica F Weiss
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Noa Tal
- Department of Medicine, Cedars-Sinai, Los Angeles, CA, United States
| | - Timothy Darby
- Albert Einstein College of Medicine, Bronx, NY, United States
| | - Helena M Blumen
- Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Juan Vazquez
- Department of Internal Medicine, John Hopkins University, Baltimore, MD, United States
| | - Kenny Q Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Tina Gao
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Shira M Siegel
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States
| | - Nir Barzilai
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Michael L Lipton
- Department of Radiology, Columbia University Irving Medical Center, New York, NY, United States; Department of Biomedical Engineering, Columbia University, New York, NY, United States
| | - Sofiya Milman
- Department of Medicine, Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, United States; Department of Genetics, Albert Einstein College of Medicine, Bronx, NY, United States
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Baynat L, Yamamoto T, Tourdias T, Zhang B, Prevost V, Infante A, Klein A, Caid J, Cadart O, Dousset V, Gatta Cherifi B. Quantitative MRI Biomarkers Measure Changes in Targeted Brain Areas in Patients With Obesity. J Clin Endocrinol Metab 2024; 109:1850-1857. [PMID: 38195765 DOI: 10.1210/clinem/dgae014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/14/2023] [Accepted: 01/08/2024] [Indexed: 01/11/2024]
Abstract
CONTEXT Obesity is accompanied by damages to several tissues, including the brain. Pathological data and animal models have demonstrated an increased inflammatory reaction in hypothalamus and hippocampus. OBJECTIVE We tested whether we could observe such pathological modifications in vivo through quantitative magnetic resonance imaging (MRI) metrics. METHODS This prospective study was conducted between May 2019 and November 2022. The study was conducted in the Specialized Center for the Care of Obesity in a French University Hospital. Twenty-seven patients with obesity and 23 age and gender-paired normal-weight controls were prospectively recruited. All participants were examined using brain MRI. Anthropometric and biological data, eating behavior, anxiety, depression, and memory performance were assessed in both groups. The main outcome measure was brain MRI with the following parametric maps: quantitative susceptibility mapping (QSM), mean diffusivity (MD), fractional anisotropy (FA), magnetization transfer ratio map, and T2 relaxivity map. RESULTS In the hypothalamus, patients with obesity had higher FA and lower QSM than normal-weight controls. In the hippocampus, patients with obesity had higher FA and lower MD. There was no correlation between imaging biomarkers and eating behavior or anxiety. CONCLUSION Our findings are consistent with the presence of neuroinflammation in brain regions involved in food intake. In vivo brain biomarkers from quantitative MRI appear to provide an incremental information for the assessment of brain damages in patients with obesity.
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Affiliation(s)
- Louise Baynat
- University of Bordeaux, INSERM U1215, Neurocentre Magendie, 33000 Bordeaux, France
- CHU Bordeaux, Hôpital Haut Lévêque Service Endocrinologie, Diabétologie, Nutrition, 33600 Pessac, France
| | - Takayuki Yamamoto
- University of Bordeaux, INSERM U1215, Neurocentre Magendie, 33000 Bordeaux, France
| | - Thomas Tourdias
- University of Bordeaux, INSERM U1215, Neurocentre Magendie, 33000 Bordeaux, France
- CHU Bordeaux, Hôpital Pellegrin, Service de Neuroimagerie diagnostique et thérapeutique, 33000 Bordeaux, France
| | - Bei Zhang
- Magnetic Resonance, Canon Medical Systems Europe, 2718 Zoetermeer, Netherlands
| | - Valentin Prevost
- CT-MR Solution Planning Department, Canon Medical Systems Corporation, Tochigi, Japan
| | - Asael Infante
- CHU Bordeaux, Hôpital Haut Lévêque Service Endocrinologie, Diabétologie, Nutrition, 33600 Pessac, France
| | - Achille Klein
- CHU Bordeaux, Hôpital Haut Lévêque Service Endocrinologie, Diabétologie, Nutrition, 33600 Pessac, France
| | - Julien Caid
- CHU Bordeaux, Hôpital Haut Lévêque Service Endocrinologie, Diabétologie, Nutrition, 33600 Pessac, France
| | - Olivier Cadart
- Endocrinology, Centre Hospitalier d'Angoulême, Endocrinolology, Rond point Girac, 16000 Angouleme, France
| | - Vincent Dousset
- University of Bordeaux, INSERM U1215, Neurocentre Magendie, 33000 Bordeaux, France
- CHU Bordeaux, Hôpital Pellegrin, Service de Neuroimagerie diagnostique et thérapeutique, 33000 Bordeaux, France
| | - Blandine Gatta Cherifi
- University of Bordeaux, INSERM U1215, Neurocentre Magendie, 33000 Bordeaux, France
- CHU Bordeaux, Hôpital Haut Lévêque Service Endocrinologie, Diabétologie, Nutrition, 33600 Pessac, France
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Hanycz SA, Noorani A, Hung PSP, Walker MR, Zhang AB, Latypov TH, Hodaie M. Hippocampus diffusivity abnormalities in classical trigeminal neuralgia. Pain Rep 2024; 9:e1159. [PMID: 38655236 PMCID: PMC11037743 DOI: 10.1097/pr9.0000000000001159] [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: 03/08/2023] [Revised: 02/16/2024] [Accepted: 02/24/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Patients with chronic pain frequently report cognitive symptoms that affect memory and attention, which are functions attributed to the hippocampus. Trigeminal neuralgia (TN) is a chronic neuropathic pain disorder characterized by paroxysmal attacks of unilateral orofacial pain. Given the stereotypical nature of TN pain and lack of negative symptoms including sensory loss, TN provides a unique model to investigate the hippocampal implications of chronic pain. Recent evidence demonstrated that TN is associated with macrostructural hippocampal abnormalities indicated by reduced subfield volumes; however, there is a paucity in our understanding of hippocampal microstructural abnormalities associated with TN. Objectives To explore diffusivity metrics within the hippocampus, along with its functional and structural subfields, in patients with TN. Methods To examine hippocampal microstructure, we utilized diffusion tensor imaging in 31 patients with TN and 21 controls. T1-weighted magnetic resonance images were segmented into hippocampal subfields and registered into diffusion-weighted imaging space. Fractional anisotropy (FA) and mean diffusivity were extracted for hippocampal subfields and longitudinal axis segmentations. Results Patients with TN demonstrated reduced FA in bilateral whole hippocampi and hippocampal body and contralateral subregions CA2/3 and CA4, indicating microstructural hippocampal abnormalities. Notably, patients with TN showed significant correlation between age and hippocampal FA, while controls did not exhibit this correlation. These effects were driven chiefly by female patients with TN. Conclusion This study demonstrates that TN is associated with microstructural hippocampal abnormalities, which may precede and potentially be temporally linked to volumetric hippocampal alterations demonstrated previously. These findings provide further evidence for the role of the hippocampus in chronic pain and suggest the potential for targeted interventions to mitigate cognitive symptoms in patients with chronic pain.
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Affiliation(s)
- Shaun Andrew Hanycz
- Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Alborz Noorani
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Peter Shih-Ping Hung
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Matthew R. Walker
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
| | - Ashley B. Zhang
- MD Program, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Timur H. Latypov
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mojgan Hodaie
- Division of Brain, Imaging, and Behaviour—Systems Neuroscience, Krembil Research Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Division of Neurosurgery, Krembil Brain Institute, Toronto Western Hospital, University Health Network, Toronto, ON, Canada
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Hoang KN, Huang Y, Fujiwara E, Malykhin N. Effects of healthy aging and mnemonic strategies on verbal memory performance across the adult lifespan: Mediating role of posterior hippocampus. Hippocampus 2024; 34:100-122. [PMID: 38145465 DOI: 10.1002/hipo.23592] [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: 06/09/2023] [Revised: 11/16/2023] [Accepted: 11/25/2023] [Indexed: 12/26/2023]
Abstract
In this study, we aimed to understand the contributions of hippocampal anteroposterior subregions (head, body, tail) and subfields (cornu ammonis 1-3 [CA1-3], dentate gyrus [DG], and subiculum [Sub]) and encoding strategies to the age-related verbal memory decline. Healthy participants were administered the California Verbal Learning Test-II to evaluate verbal memory performance and encoding strategies and underwent 4.7 T magnetic resonance imaging brain scan with subsequent hippocampal subregions and subfields manual segmentation. While total hippocampal volume was not associated with verbal memory performance, we found the volumes of the posterior hippocampus (body) and Sub showed significant effects on verbal memory performance. Additionally, the age-related volume decline in hippocampal body volume contributed to lower use of semantic clustering, resulting in lower verbal memory performance. The effect of Sub on verbal memory was statistically independent of encoding strategies. While total CA1-3 and DG volumes did not show direct or indirect effects on verbal memory, exploratory analyses with DG and CA1-3 volumes within the hippocampal body subregion suggested an indirect effect of age-related volumetric reduction on verbal memory performance through semantic clustering. As semantic clustering is sensitive to age-related hippocampal volumetric decline but not to the direct effect of age, further investigation of mechanisms supporting semantic clustering can have implications for early detection of cognitive impairments and decline.
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Affiliation(s)
- Kim Ngan Hoang
- Neuroscience and Mental Health Institute, Edmonton, Canada
| | - Yushan Huang
- Neuroscience and Mental Health Institute, Edmonton, Canada
| | - Esther Fujiwara
- Neuroscience and Mental Health Institute, Edmonton, Canada
- Department of Psychiatry, University of Alberta, Edmonton, Canada
| | - Nikolai Malykhin
- Neuroscience and Mental Health Institute, Edmonton, Canada
- Department of Psychiatry, University of Alberta, Edmonton, Canada
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Ibrahim K, Bennett IJ. Hippocampal microstructure, but not macrostructure, mediates age differences in episodic memory. Front Aging Neurosci 2023; 15:1285375. [PMID: 38053843 PMCID: PMC10694359 DOI: 10.3389/fnagi.2023.1285375] [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: 08/29/2023] [Accepted: 11/07/2023] [Indexed: 12/07/2023] Open
Abstract
Introduction Separate unimodal magnetic resonance imaging (MRI) literatures have shown that hippocampal gray matter macrostructure (volume) and microstructure (diffusion) decline with age and relate to episodic memory performance, with multimodal MRI studies reporting that episodic memory may be better explained by a combination of these metrics. However, these effects are often assessed independent of age or only within older adults and therefore do not address whether these distinct modalities explain variance in (i.e, mediate) the effect of age on episodic memory. Methods Here, we simultaneously examined the unique and joint contribution of hippocampal volume and diffusion to age-related differences in episodic memory in 83 younger and 61 older adults who underwent a T1- and diffusion-weighted MRI and completed the Rey Auditory Verbal Learning Test. Results As expected, older age was significantly related to smaller volume and higher diffusion (intracellular, dispersion, and free) in bilateral hippocampus and to worse episodic memory performance (immediate and delayed free recall, recognition). Structural equation modelling revealed that the age-memory relationship was significantly mediated by hippocampal diffusion, but not volume. A non-significant influential indirect effect further revealed that the structural metrics did not jointly mediate the age-memory relationship. Discussion Together, these findings indicate that hippocampal microstructure uniquely contributes to age-related differences in episodic memory and suggest that volume and diffusion capture distinct neurobiological properties of hippocampal gray matter.
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Affiliation(s)
| | - Ilana J. Bennett
- Department of Psychology, University of California, Riverside, Riverside, CA, United States
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6
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Antonenko D, Fromm AE, Thams F, Grittner U, Meinzer M, Flöel A. Microstructural and functional plasticity following repeated brain stimulation during cognitive training in older adults. Nat Commun 2023; 14:3184. [PMID: 37268628 DOI: 10.1038/s41467-023-38910-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/18/2023] [Indexed: 06/04/2023] Open
Abstract
The combination of repeated behavioral training with transcranial direct current stimulation (tDCS) holds promise to exert beneficial effects on brain function beyond the trained task. However, little is known about the underlying mechanisms. We performed a monocenter, single-blind randomized, placebo-controlled trial comparing cognitive training to concurrent anodal tDCS (target intervention) with cognitive training to concurrent sham tDCS (control intervention), registered at ClinicalTrial.gov (Identifier NCT03838211). The primary outcome (performance in trained task) and secondary behavioral outcomes (performance on transfer tasks) were reported elsewhere. Here, underlying mechanisms were addressed by pre-specified analyses of multimodal magnetic resonance imaging before and after a three-week executive function training with prefrontal anodal tDCS in 48 older adults. Results demonstrate that training combined with active tDCS modulated prefrontal white matter microstructure which predicted individual transfer task performance gain. Training-plus-tDCS also resulted in microstructural grey matter alterations at the stimulation site, and increased prefrontal functional connectivity. We provide insight into the mechanisms underlying neuromodulatory interventions, suggesting tDCS-induced changes in fiber organization and myelin formation, glia-related and synaptic processes in the target region, and synchronization within targeted functional networks. These findings advance the mechanistic understanding of neural tDCS effects, thereby contributing to more targeted neural network modulation in future experimental and translation tDCS applications.
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Affiliation(s)
- Daria Antonenko
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.
| | | | - Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Ulrike Grittner
- Berlin Institute of Health (BIH), Berlin, Germany
- Charité - Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Institute of Biometry and Clinical Epidemiology, Berlin, Germany
| | - Marcus Meinzer
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
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Wu F, Dong P, Wu G, Deng J, Gao X, Song X, Yuan J, Sun H. The disruption of white matter integrity of systemic striatal circuits in alcohol-dependent males with physiological cue reactivity. Addict Biol 2023; 28:e13273. [PMID: 37016754 DOI: 10.1111/adb.13273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 02/05/2023] [Accepted: 02/23/2023] [Indexed: 04/06/2023]
Abstract
Alcohol dependence (AD) is a chronic and relapsing disorder. Conditioned cues associated with the rewarding properties of drugs could trigger motivational/physiological reactions and render subjects vulnerable to relapse. Striatal circuit dysfunction has been implicated in alcohol addiction behaviours. However, little is known about the striatal tracts structural connectivity changes underlying cue induced reactivity in AD. In our present study, we recruited 51 patients with AD; 31 individuals had physiological response. We used seed-based classification by probabilistic tractography with nine target masks to explore the white matter integrity of striatal circuits in physiological responders (N = 31), non-responders (N = 20), and healthy controls (N = 27). Compared with healthy controls, physiological responders showed lower fractional anisotropy (FA) and/or higher mean diffusivity in the striatum-dorsolateral prefrontal cortex (dlPFC), striatum-ventral lateral prefrontal cortex, striatum-supplementary motor area (SMA), and striatum-insular. Considering age and smoking are potential nuisances to diffusion parameters, an analysis of covariance also was conducted and similar results were found. We also found the cue-induced physiological response was negatively associated with the FA of the striatum-SMA (r = -0.287; p = 0.045) and left striatum-dlPFC (r = -0.253; p = 0.079) in AD. In our study, we found abnormal integrity of striatal circuit structural connectivity in AD with physiological cue reactivity, especially trajectory from prefrontal cortex and insular. We also found the FA of striatal tracks was negatively associated with the degree of cue reactivity. Our findings provide further evidence for reduced white matter integrity of striatal circuits for cue reactivity in male individuals with AD.
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Affiliation(s)
- Fei Wu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Ping Dong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Guowei Wu
- Chinese Institute for Brain Research, Beijing, China
| | - Jiahui Deng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Xuejiao Gao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Xiaopeng Song
- McLean Imaging Center, McLean Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Junliang Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
- Department of Neurology, Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
| | - Hongqiang Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Peking University, Beijing, China
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Caroli A, Capelli S, Napolitano A, Cabrini G, Arrigoni A, Pezzetti G, Previtali M, Longhi LG, Zangari R, Lorini FL, Sessa M, Remuzzi A, Gerevini S. Brain diffusion alterations in patients with COVID-19 pathology and neurological manifestations. Neuroimage Clin 2023; 37:103338. [PMID: 36731251 PMCID: PMC9883079 DOI: 10.1016/j.nicl.2023.103338] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 01/18/2023] [Accepted: 01/23/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND OBJECTIVE COVID-19 neurological manifestations have been progressively recognized. Among available MRI techniques, diffusion weighted imaging (DWI) shows promise to study microstructure, inflammation, and edema. Previous DWI studies reported alterations in brain diffusivity in COVID-19 patients, as assessed by morphologic evaluation of brain DWI scans only. The aim of this study was to assess and quantify brain diffusion alterations in COVID-19 patients with neurological manifestations. METHODS 215 COVID-19 patients with neurological manifestations (olfactory and/or other neurological disorders) and 36 normal controls were compared and studied with DWI and T1-weighted MRI scans. MRI scans were processed by a semi-automatic processing procedure specifically developed for the purpose of this study, and the Apparent Diffusion Coefficient (ADC) was quantified in different brain tissues and individual white matter (WM) and gray matter (GM) regions. Differences in ADC values were assessed between COVID-19 patients and normal controls, as well as in the COVID-19 patient population grouped by hospitalization and neurological symptoms. RESULTS Among COVID-19 patients (median [IQR] = 52 [42 - 60] years of age, 58 % females), 91 were hospitalized and 26 needed intensive care. 84 patients had hyposmia/ageusia only, while 131 ones showed other neurological disorders. COVID-19 patients showed significantly increased ADC values in the WM and in several GM regions (p < 0.001). ADC values were significantly correlated with MRI time from disease onset (p < 0.05). Hospitalized patients showed significantly higher ADC alteration than non-hospitalized patients in all brain tissues; similarly, COVID-19 patients with neurological disorders showed significantly higher ADC values than those with olfactory loss only. ADC alteration was highest in patients with cognitive or memory disorder and in those with encephalitis or meningitis. ADC values were neither associated with the duration of hospitalization nor with the need for intensive care. CONCLUSION Current findings suggest DWI potential as a non-invasive marker of neuroinflammation in COVID-19, and the transient nature of the same. Future longitudinal studies are needed to confirm our findings.
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Affiliation(s)
- Anna Caroli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
| | - Serena Capelli
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
| | - Angela Napolitano
- Department of Neuroradiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Giulia Cabrini
- Department of Management, Information and Production Engineering, University of Bergamo, 24044 Dalmine, BG, Italy
| | - Alberto Arrigoni
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
| | - Giulio Pezzetti
- Department of Neuroradiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Mattia Previtali
- Bioengineering Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 24020 Ranica, BG, Italy
| | - Luca Giovanni Longhi
- Neurosurgical Intensive Care Unit, Department of Anesthesia and Critical Care Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Rosalia Zangari
- FROM Research Foundation, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Ferdinando Luca Lorini
- Department of Emergency and Critical Care Area, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Maria Sessa
- Department of Neurology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy
| | - Andrea Remuzzi
- Department of Management, Information and Production Engineering, University of Bergamo, 24044 Dalmine, BG, Italy
| | - Simonetta Gerevini
- Department of Neuroradiology, ASST Papa Giovanni XXIII, 24127 Bergamo, Italy.
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Li Y, Qiu Z, Fan X, Liu X, Chang EIC, Xu Y. Integrated 3d flow-based multi-atlas brain structure segmentation. PLoS One 2022; 17:e0270339. [PMID: 35969596 PMCID: PMC9377636 DOI: 10.1371/journal.pone.0270339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/09/2022] [Indexed: 11/18/2022] Open
Abstract
MRI brain structure segmentation plays an important role in neuroimaging studies. Existing methods either spend much CPU time, require considerable annotated data, or fail in segmenting volumes with large deformation. In this paper, we develop a novel multi-atlas-based algorithm for 3D MRI brain structure segmentation. It consists of three modules: registration, atlas selection and label fusion. Both registration and label fusion leverage an integrated flow based on grayscale and SIFT features. We introduce an effective and efficient strategy for atlas selection by employing the accompanying energy generated in the registration step. A 3D sequential belief propagation method and a 3D coarse-to-fine flow matching approach are developed in both registration and label fusion modules. The proposed method is evaluated on five public datasets. The results show that it has the best performance in almost all the settings compared to competitive methods such as ANTs, Elastix, Learning to Rank and Joint Label Fusion. Moreover, our registration method is more than 7 times as efficient as that of ANTs SyN, while our label transfer method is 18 times faster than Joint Label Fusion in CPU time. The results on the ADNI dataset demonstrate that our method is applicable to image pairs that require a significant transformation in registration. The performance on a composite dataset suggests that our method succeeds in a cross-modality manner. The results of this study show that the integrated 3D flow-based method is effective and efficient for brain structure segmentation. It also demonstrates the power of SIFT features, multi-atlas segmentation and classical machine learning algorithms for a medical image analysis task. The experimental results on public datasets show the proposed method’s potential for general applicability in various brain structures and settings.
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Affiliation(s)
- Yeshu Li
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | - Ziming Qiu
- Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, United States of America
| | - Xingyu Fan
- Bioengineering College, Chongqing University, Chongqing, China
| | - Xianglong Liu
- School of Computer Science and Engineering, Beihang University, Beijing, China
| | | | - Yan Xu
- School of Biological Science and Medical Engineering, State Key Laboratory of Software Development Environment, Key Laboratory of Biomechanics, Mechanobiology of Ministry of Education and Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
- Microsoft Research, Beijing, China
- * E-mail:
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10
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Venkatesh A, Daugherty AM, Bennett IJ. Neuroimaging measures of iron and gliosis explain memory performance in aging. Hum Brain Mapp 2021; 42:5761-5770. [PMID: 34520095 PMCID: PMC8559505 DOI: 10.1002/hbm.25652] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 08/18/2021] [Accepted: 08/21/2021] [Indexed: 11/13/2022] Open
Abstract
Evidence from animal and histological studies has indicated that accumulation of iron in the brain results in reactive gliosis that contributes to cognitive deficits. The current study extends these findings to human cognitive aging and suggests that magnetic resonance imaging (MRI) techniques like quantitative relaxometry can be used to study iron and its effects in vivo. The effects of iron on microstructure and memory performance were examined using a combination of quantitative relaxometry and multicompartment diffusion imaging in 35 young (21.06 ± 2.18 years) and 28 older (72.58 ± 6.47 years) adults, who also completed a memory task. Replicating past work, results revealed age‐related increases in iron content (R2*) and diffusion, and decreases in memory performance. Independent of age group, iron content was significantly related to restricted (intracellular) diffusion in regions with low‐moderate iron (hippocampus, caudate) and to all diffusion metrics in regions with moderate‐high iron (putamen, globus pallidus). This pattern is consistent with different stages of iron‐related gliosis, ranging from astrogliosis that may influence intracellular diffusion to microglial proliferation and increased vascular permeability that may influence all sources of diffusion. Further, hippocampal restricted diffusion was significantly related to memory performance, with a third of this effect related to iron content; consistent with the hypothesis that higher iron‐related astrogliosis in the hippocampus is associated with poorer memory performance. These results demonstrate the sensitivity of MRI to iron‐related gliosis and extend our understanding of its impact on cognition by showing that this relationship also explains individual differences in memory performance.
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Affiliation(s)
- Anu Venkatesh
- Department of Neuroscience, University of California Riverside, Riverside, California, USA
| | - Ana M Daugherty
- Department of Psychology, Wayne State University, Detroit, Michigan, USA
| | - Ilana J Bennett
- Department of Neuroscience, University of California Riverside, Riverside, California, USA.,Department of Psychology, University of California Riverside, Riverside, California, USA
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11
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Grydeland H, Sederevičius D, Wang Y, Bartrés-Faz D, Bertram L, Dobricic V, Düzel S, Ebmeier KP, Lindenberger U, Nyberg L, Pudas S, Sexton CE, Solé-Padullés C, Sørensen Ø, Walhovd KB, Fjell AM. Self-reported sleep relates to microstructural hippocampal decline in ß-amyloid positive Adults beyond genetic risk. Sleep 2021; 44:zsab110. [PMID: 33912975 PMCID: PMC8598196 DOI: 10.1093/sleep/zsab110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/16/2021] [Indexed: 12/01/2022] Open
Abstract
STUDY OBJECTIVES A critical role linking sleep with memory decay and β-amyloid (Aβ) accumulation, two markers of Alzheimer's disease (AD) pathology, may be played by hippocampal integrity. We tested the hypotheses that worse self-reported sleep relates to decline in memory and intra-hippocampal microstructure, including in the presence of Aβ. METHODS Two-hundred and forty-three cognitively healthy participants, aged 19-81 years, completed the Pittsburgh Sleep Quality Index once, and two diffusion tensor imaging sessions, on average 3 years apart, allowing measures of decline in intra-hippocampal microstructure as indexed by increased mean diffusivity. We measured memory decay at each imaging session using verbal delayed recall. One session of positron emission tomography, in 108 participants above 44 years of age, yielded 23 Aβ positive. Genotyping enabled control for APOE ε4 status, and polygenic scores for sleep and AD, respectively. RESULTS Worse global sleep quality and sleep efficiency related to more rapid reduction of hippocampal microstructure over time. Focusing on efficiency (the percentage of time in bed at night spent asleep), the relation was stronger in presence of Aβ accumulation, and hippocampal integrity decline mediated the relation with memory decay. The results were not explained by genetic risk for sleep efficiency or AD. CONCLUSIONS Worse sleep efficiency related to decline in hippocampal microstructure, especially in the presence of Aβ accumulation, and Aβ might link poor sleep and memory decay. As genetic risk did not account for the associations, poor sleep efficiency might constitute a risk marker for AD, although the driving causal mechanisms remain unknown.
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Affiliation(s)
- Håkon Grydeland
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Donatas Sederevičius
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Yunpeng Wang
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - David Bartrés-Faz
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Lars Bertram
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Valerija Dobricic
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institutes of Neurogenetics and Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK
| | - Lars Nyberg
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Sara Pudas
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | | | - Cristina Solé-Padullés
- Departament de Medicina, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
| | - Øystein Sørensen
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
| | - Kristine B Walhovd
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
| | - Anders M Fjell
- Research Group for Lifespan Changes in Brain and Cognition, Department of Psychology, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, University of Oslo, Oslo, Norway
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12
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Hippocampal and non-hippocampal correlates of physically active lifestyle and their relation to episodic memory in older adults. Neurobiol Aging 2021; 109:100-112. [PMID: 34706317 DOI: 10.1016/j.neurobiolaging.2021.08.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 11/21/2022]
Abstract
Aging is associated with compromised neurocognition. While aerobic exercise has been linked with cognitive resilience, findings regarding its relationship with brain morphology are inconsistent. Furthermore, the biological underpinnings of the relationship between aerobic activity and memory in the aging human brain are unclear. To investigate these issues, we examined hippocampal and non-hippocampal structural correlates of aerobically active lifestyle and cardiorespiratory fitness in older adults. We then examined structural pathways which may potentially mediate the association between active lifestyle and memory. Fifty participants (aged 65-80) underwent structural and diffusion MRI, memory evaluation, were examined for active lifestyle and cardiorespiratory fitness. Morphological features of the hippocampus and fornix, white matter lesions, and brain atrophy were assessed. Active lifestyle and cardiorespiratory fitness correlated with all neurocognitive measures. An exploratory mediation analysis revealed hippocampal and white matter lesions pathways linking active lifestyle and cardiorespiratory fitness with memory. Our results support a neuroprotective role of aerobic exercise on the aging brain and suggest plausible morphological pathways that may underlie the relationship between aerobic exercise and memory.
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13
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He L, Li H, Chen M, Wang J, Altaye M, Dillman JR, Parikh NA. Deep Multimodal Learning From MRI and Clinical Data for Early Prediction of Neurodevelopmental Deficits in Very Preterm Infants. Front Neurosci 2021; 15:753033. [PMID: 34675773 PMCID: PMC8525883 DOI: 10.3389/fnins.2021.753033] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 09/13/2021] [Indexed: 01/31/2023] Open
Abstract
The prevalence of disabled survivors of prematurity has increased dramatically in the past 3 decades. These survivors, especially, very preterm infants (VPIs), born ≤ 32 weeks gestational age, are at high risk for neurodevelopmental impairments. Early and clinically effective personalized prediction of outcomes, which forms the basis for early treatment decisions, is urgently needed during the peak neuroplasticity window—the first couple of years after birth—for at-risk infants, when intervention is likely to be most effective. Advances in MRI enable the noninvasive visualization of infants' brains through acquired multimodal images, which are more informative than unimodal MRI data by providing complementary/supplementary depicting of brain tissue characteristics and pathology. Thus, analyzing quantitative multimodal MRI features affords unique opportunities to study early postnatal brain development and neurodevelopmental outcome prediction in VPIs. In this study, we investigated the predictive power of multimodal MRI data, including T2-weighted anatomical MRI, diffusion tensor imaging, resting-state functional MRI, and clinical data for the prediction of neurodevelopmental deficits. We hypothesize that integrating multimodal MRI and clinical data improves the prediction over using each individual data modality. Employing the aforementioned multimodal data, we proposed novel end-to-end deep multimodal models to predict neurodevelopmental (i.e., cognitive, language, and motor) deficits independently at 2 years corrected age. We found that the proposed models can predict cognitive, language, and motor deficits at 2 years corrected age with an accuracy of 88.4, 87.2, and 86.7%, respectively, significantly better than using individual data modalities. This current study can be considered as proof-of-concept. A larger study with external validation is important to validate our approach to further assess its clinical utility and overall generalizability.
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Affiliation(s)
- Lili He
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Hailong Li
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Ming Chen
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Electronic Engineering and Computing Systems, University of Cincinnati, Cincinnati, OH, United States
| | - Jinghua Wang
- Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Mekibib Altaye
- Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States
| | - Jonathan R Dillman
- Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Nehal A Parikh
- The Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.,Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
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14
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Forno G, Lladó A, Hornberger M. Going round in circles-The Papez circuit in Alzheimer's disease. Eur J Neurosci 2021; 54:7668-7687. [PMID: 34656073 DOI: 10.1111/ejn.15494] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 10/01/2021] [Accepted: 10/12/2021] [Indexed: 11/29/2022]
Abstract
The hippocampus is regarded as the pivotal structure for episodic memory symptoms associated with Alzheimer's disease (AD) pathophysiology. However, what is often overlooked is that the hippocampus is 'only' one part of a network of memory critical regions, the Papez circuit. Other Papez circuit regions are often regarded as less relevant for AD as they are thought to sit 'downstream' of the hippocampus. However, this notion is oversimplistic, and increasing evidence suggests that other Papez regions might be affected before or concurrently with the hippocampus. In addition, AD research has mostly focused on episodic memory deficits, whereas spatial navigation processes are also subserved by the Papez circuit with increasing evidence supporting its valuable potential as a diagnostic measure of incipient AD pathophysiology. In the current review, we take a step forward analysing recent evidence on the structural and functional integrity of the Papez circuit across AD disease stages. Specifically, we will review the integrity of specific Papez regions from at-genetic-risk (APOE4 carriers), to mild cognitive impairment (MCI), to dementia stage of sporadic AD and autosomal dominant AD (ADAD). We related those changes to episodic memory and spatial navigation/orientation deficits in AD. Finally, we provide an overview of how the Papez circuit is affected in AD diseases and their specific symptomology contributions. This overview strengthened the need for moving away from a hippocampal-centric view to a network approach on how the whole Papez circuit is affected in AD and contributes to its symptomology, informing future research and clinical approaches.
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Affiliation(s)
- Gonzalo Forno
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,School of Psychology, Universidad de los Andes, Santiago, Chile.,Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department, ICBM, Neurosciences Department, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Albert Lladó
- Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Service, Hospital Clínic of Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.,Centro de Investigación Biomédica en Red de Enfermedades Neurodegenerativas, CIBERNED, Madrid, Spain
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15
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Solar KG, Treit S, Beaulieu C. High resolution diffusion tensor imaging of the hippocampus across the healthy lifespan. Hippocampus 2021; 31:1271-1284. [PMID: 34599623 DOI: 10.1002/hipo.23388] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 08/23/2021] [Accepted: 09/11/2021] [Indexed: 12/21/2022]
Abstract
The human hippocampus is difficult to image given its small size, location, shape, and complex internal architecture. Structural magnetic resonance imaging (MRI) has shown age-related hippocampal volume changes that vary along the anterior-posterior axis. Diffusion tensor imaging (DTI) provides complementary measures related to microstructure, but there are few hippocampus DTI studies investigating change with age in healthy participants, and all have been limited by low spatial resolution. The current study uses high resolution 1 mm isotropic DTI of 153 healthy volunteers aged 5-74 years to investigate diffusion and volume trajectories of the hippocampus (whole, head, body, and tail) and correlations with memory. Hippocampal volume showed age-related changes that differed between head (peaking at midlife), body (no changes), and tail (decreasing across the age span). Fractional anisotropy (FA) and mean, axial, and radial diffusivities (MD, AD, RD) yielded peaks or minima, respectively, at ~30-35 years in all three subregions of the hippocampus. Greater magnitude changes were observed during development than in aging. Age trajectories for both volume and DTI were similar between males and females. Correlations between tests of memory and FA and/or volume were significant in younger subjects (5-17 years), but not in 18-49 year olds or 50-74 year olds. MD was significantly correlated with memory performance in 18-49 year olds, but not in other age groups. Given the diffusion-weighted image contrast and resolution, head digitations could be examined revealing that the majority of subjects had 3-4 (48%) or 2 (32%) bilaterally with no effect of age. One millimeter isotropic DTI yielded high quality diffusion-weighted maps of the human hippocampus that showed regionally specific age effects and cognitive correlations along the anterior-posterior axis from 5 to 74 years.
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Affiliation(s)
- Kevin Grant Solar
- Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Sarah Treit
- Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Christian Beaulieu
- Department of Biomedical Engineering, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
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16
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Callow DD, Won J, Alfini AJ, Purcell JJ, Weiss LR, Zhan W, Smith JC. Microstructural Plasticity in the Hippocampus of Healthy Older Adults after Acute Exercise. Med Sci Sports Exerc 2021; 53:1928-1936. [PMID: 33787529 DOI: 10.1249/mss.0000000000002666] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
INTRODUCTION The hippocampus experiences structural and functional decline with age and is a critical region for memory and many cognitive processes. Exercise is beneficial for the aging brain and shows preferential benefits for hippocampal volume, activation, and memory-related cognitive processes. However, research thus far has primarily focused on the effects of exercise on long-term volumetric changes in the hippocampus using structural magnetic resonance imaging. Critically, microstructural alterations within the hippocampus over short time intervals are associated with neuroplasticity and cognitive changes that do not alter its volume but are still functionally relevant. However, it is not yet known if microstructural neuroplasticity occurs in the hippocampus in response to a single session of exercise. METHODS We used a within-subject design to determine if a 30-min bout of moderate-intensity aerobic exercise altered bilateral hippocampal diffusion tensor imaging measures in healthy older adults (n = 30) compared with a seated rest control condition. RESULTS Significantly lower fractional anisotropy and higher mean diffusivity were found after exercise relative to seated rest within the bilateral hippocampus, and this effect was driven by higher radial diffusivity. No significant differences in axial diffusivity were observed. CONCLUSIONS These findings suggest that a single exercise session can lead to microstructural alterations in the hippocampus of healthy older adults. These differences may be associated with changes in the extracellular space and glial, synaptic, and dendritic processes within the hippocampus. Repeated microstructural alterations resulting from acute bouts of exercise may accumulate and precede larger volumetric and functional improvements in the hippocampus.
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Affiliation(s)
| | - Junyeon Won
- Department of Kinesiology, University of Maryland, College Park, MD
| | - Alfonso J Alfini
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Jeremy J Purcell
- Maryland Neuroimaging Center, University of Maryland, College Park, MD
| | | | - Wang Zhan
- Maryland Neuroimaging Center, University of Maryland, College Park, MD
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17
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Qiu Q, Yang Z, Wu S, Qian D, Wei J, Gong G, Wang L, Yin Y. Automatic segmentation of hippocampus in hippocampal sparing whole brain radiotherapy: A multitask edge-aware learning. Med Phys 2021; 48:1771-1780. [PMID: 33555048 DOI: 10.1002/mp.14760] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 01/08/2021] [Accepted: 01/29/2021] [Indexed: 02/03/2023] Open
Abstract
PURPOSE This study aimed to improve the accuracy of the hippocampus segmentation through multitask edge-aware learning. METHOD We developed a multitask framework for computerized hippocampus segmentation. We used three-dimensional (3D) U-net as our backbone model with two training objectives: (a) to minimize the difference between the targeted binary mask and the model prediction; and (b) to optimize an auxiliary edge-prediction task which is designed to guide the model detection of the weak boundary of the hippocampus in model optimization. To balance the multiple task objectives, we proposed an improved gradient normalization by adaptively adjusting the weight of losses from different tasks. A total of 247 T1-weighted MRIs including 131 without contrast and 116 with contrast were collected from 247 patients to train and validate the proposed method. Segmentation was quantitatively evaluated with the dice coefficient (Dice), Hausdorff distance (HD), and average Hausdorff distance (AVD). The 3D U-net was used for baseline comparison. We used a Wilcoxon signed-rank test to compare repeated measurements (Dice, HD, and AVD) by different segmentations. RESULTS Through fivefold cross-validation, our multitask edge-aware learning achieved Dice of 0.8483 ± 0.0036, HD of 7.5706 ± 1.2330 mm, and AVD of 0.1522 ± 0.0165 mm, respectively. Conversely, the baseline results were 0.8340 ± 0.0072, 10.4631 ± 2.3736 mm, and 0.1884 ± 0.0286 mm, respectively. With a Wilcoxon signed-rank test, we found that the differences between our method and the baseline were statistically significant (P < 0.05). CONCLUSION Our results demonstrated the efficiency of multitask edge-aware learning in hippocampus segmentation for hippocampal sparing whole-brain radiotherapy. The proposed framework may also be useful for other low-contrast small organ segmentations on medical imaging modalities.
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Affiliation(s)
- Qingtao Qiu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, P.R. China
| | - Ziduo Yang
- Perception Vision Medical Technologies Co. Ltd., Guangzhou, Guangdong, P.R. China
| | - Shuyu Wu
- Perception Vision Medical Technologies Co. Ltd., Guangzhou, Guangdong, P.R. China
| | - Dongdong Qian
- Perception Vision Medical Technologies Co. Ltd., Guangzhou, Guangdong, P.R. China
| | - Jun Wei
- Perception Vision Medical Technologies Co. Ltd., Guangzhou, Guangdong, P.R. China
| | - Guanzhong Gong
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, P.R. China
| | - Lizhen Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, P.R. China
| | - Yong Yin
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan, P.R. China
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Rasero J, Sentis AI, Yeh FC, Verstynen T. Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability. PLoS Comput Biol 2021; 17:e1008347. [PMID: 33667224 PMCID: PMC7984650 DOI: 10.1371/journal.pcbi.1008347] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 03/22/2021] [Accepted: 02/10/2021] [Indexed: 01/08/2023] Open
Abstract
Variation in cognitive ability arises from subtle differences in underlying neural architecture. Understanding and predicting individual variability in cognition from the differences in brain networks requires harnessing the unique variance captured by different neuroimaging modalities. Here we adopted a multi-level machine learning approach that combines diffusion, functional, and structural MRI data from the Human Connectome Project (N = 1050) to provide unitary prediction models of various cognitive abilities: global cognitive function, fluid intelligence, crystallized intelligence, impulsivity, spatial orientation, verbal episodic memory and sustained attention. Out-of-sample predictions of each cognitive score were first generated using a sparsity-constrained principal component regression on individual neuroimaging modalities. These individual predictions were then aggregated and submitted to a LASSO estimator that removed redundant variability across channels. This stacked prediction led to a significant improvement in accuracy, relative to the best single modality predictions (approximately 1% to more than 3% boost in variance explained), across a majority of the cognitive abilities tested. Further analysis found that diffusion and brain surface properties contribute the most to the predictive power. Our findings establish a lower bound to predict individual differences in cognition using multiple neuroimaging measures of brain architecture, both structural and functional, quantify the relative predictive power of the different imaging modalities, and reveal how each modality provides unique and complementary information about individual differences in cognitive function.
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Affiliation(s)
- Javier Rasero
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
| | - Amy Isabella Sentis
- Carnegie Mellon Neuroscience Institute, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
- Program in Neural Computation, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
| | - Fang-Cheng Yeh
- Program in Neural Computation, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
| | - Timothy Verstynen
- Department of Psychology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, United States of America
- Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America
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Perticone M, Di Lorenzo C, Arabia G, Arturi F, Caroleo B, Tassone B, Pujia R, Fiorentino TV, Chiriaco C, Sesti G, Quattrone A, Perticone F. One Hour-Post-load Plasma Glucose ≥155 mg/dl in Healthy Glucose Normotolerant Subjects Is Associated With Subcortical Brain MRI Alterations and Impaired Cognition: A Pilot Study. Front Aging Neurosci 2021; 13:608736. [PMID: 33613266 PMCID: PMC7891177 DOI: 10.3389/fnagi.2021.608736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 01/07/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Glucose alterations are associated with impaired cognition. The 1-h-post-load plasma glucose ≥155 mg/dl in non-diabetic subjects confers an increased risk of cardiovascular events and diabetes. This pilot study aimed to investigate whether the 1-h-post-load plasma glucose ≥155 mg/dl negatively affects the subcortical regions of the brain and the cognitive functions. Methods: We enrolled 32 non-diabetic subjects. Patients were divided into two groups based on 1-h- post-load plasma glucose value > or < 155 mg/dl: normal glucose tolerance (NGT) 1-h-high and NGT 1-h-low subjects. All subjects underwent 3 Tesla MRI and standard neuropsychological tests. Results: NGT 1-h-high subjects showed significantly lower values of both right (4.9 ± 0.9 vs. 5.1 ± 0.9 ml) and left (4.8 ± 1.1 vs. 5.1 ± 1.1 ml) hippocampal hemisphere volume, while right hemisphere hippocampal diffusivity was lower in the NGT 1-h-high group (10.0 ± 0.6 vs. 10.6 ± 0.5 10-4 mm2s-1). NGT 1-h-high subjects also showed a poorer memory performance. In particular, for both Rey Auditory Verbal Learning Task (RAVLT)-immediate-recall and Free and Cued Selective Reminding Test (FCSRT)-delayed total recall, we found lower cognitive test scores in the NGT-1 h-high group (26.5 ± 6.3 and 10.4 ± 0.3, respectively). Conclusions: One-hour-post-load hyperglycemia is associated with morpho-functional subcortical brain alterations and poor memory performance tests.
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Affiliation(s)
- Maria Perticone
- Geriatrics Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Cherubino Di Lorenzo
- Department of Medico-Surgical Sciences and Biotechnologies, La Sapienza University Polo Pontino, Latina, Italy
| | - Gennarina Arabia
- Neurology Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Franco Arturi
- Internal Medicine Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Benedetto Caroleo
- Geriatric Division, Azienda Ospedaliero-Universitaria Mater Domini, Catanzaro, Italy
| | - Bruno Tassone
- Internal Medicine Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Roberta Pujia
- Internal Medicine Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Teresa Vanessa Fiorentino
- Internal Medicine Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
| | - Carmelina Chiriaco
- Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, La Sapienza University, Rome, Italy
| | - Aldo Quattrone
- Institute of Molecular Bioimaging and Physiology, National Research Council, Catanzaro, Italy
| | - Francesco Perticone
- Geriatrics Division, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy
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20
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Venkatesh A, Stark SM, Stark CEL, Bennett IJ. Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging. Neurobiol Aging 2020; 96:12-21. [PMID: 32905951 PMCID: PMC7722017 DOI: 10.1016/j.neurobiolaging.2020.08.004] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 07/24/2020] [Accepted: 08/03/2020] [Indexed: 12/30/2022]
Abstract
Single-tensor diffusion imaging (DTI) has traditionally been used to assess integrity of white matter. For example, we previously showed that integrity of limbic white matter tracts declines in healthy aging and relates to episodic memory performance. However, multi-compartment diffusion models may be more informative about microstructural properties of gray matter. The current study examined hippocampal gray matter integrity using both single-tensor and multi-compartment (neurite orientation dispersion and density imaging, NODDI) diffusion imaging. Younger (20-38 years) and older (59-84 years) adults also completed the Mnemonic Similarity Task to measure mnemonic discrimination performance. Results revealed age-related declines in both single-tensor (lower fractional anisotropy, higher mean diffusivity) and multi-compartment (higher restricted, hindered and free diffusion) measures of hippocampal gray matter integrity. As expected, NODDI measures (hindered and free diffusion) captured more age-related variance than DTI measures. Moreover, mnemonic discrimination of highly similar lure items in memory was related to hippocampal gray matter integrity in younger but not older adults. These findings support the notion that age-related differences in gray matter integrity are better captured by multi-compartment versus single-tensor diffusion models and show that the relationship between mnemonic discrimination and hippocampal gray matter integrity is moderated by age.
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Affiliation(s)
- Anu Venkatesh
- Department of Neuroscience, University of California Riverside, Riverside, CA, USA.
| | - Shauna M Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Craig E L Stark
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, CA, USA
| | - Ilana J Bennett
- Department of Neuroscience, University of California Riverside, Riverside, CA, USA; Department of Psychology, University of California Riverside, Riverside, CA, USA
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21
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Callow DD, Canada KL, Riggins T. Microstructural Integrity of the Hippocampus During Childhood: Relations With Age and Source Memory. Front Psychol 2020; 11:568953. [PMID: 33041934 PMCID: PMC7525028 DOI: 10.3389/fpsyg.2020.568953] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Accepted: 08/19/2020] [Indexed: 12/30/2022] Open
Abstract
The hippocampus is a brain structure known to be important for memory. However, studies examining relations between hippocampal volume and memory across development yield mixed results. This may be due in part to the fact that volume is a coarser measure of hippocampal composition. Studies have begun to examine measures of diffusion, which capture characteristics of the microstructure of the hippocampus, and thus may provide additional information about the integrity of the underlying neural circuits. The present study applied this approach to a developmental period characterized by dramatic changes in both hippocampal microstructure and memory behavior - early childhood. Specifically, measures of hippocampal microstructural integrity were related to age and source memory performance in 93 children aged 4-8 years. Results revealed significant negative associations between hippocampal mean diffusivity and both age and memory, even after controlling for differences in hippocampal volume. These results suggest that hippocampal diffusion may provide additional, independent information about hippocampal integrity compared to volume, particularly during early childhood when important developmental changes have been proposed.
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Affiliation(s)
- Daniel D. Callow
- 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
| | - Kelsey L. Canada
- Department of Psychology, University of Maryland, College Park, MD, United States
| | - Tracy Riggins
- Department of Kinesiology, University of Maryland, College Park, MD, United States
- Department of Psychology, University of Maryland, College Park, MD, United States
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22
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Croll PH, Vernooij MW, Reid RI, Goedegebure A, Power MC, Rigters SC, Sharrett AR, de Jong RJB, Mosley TH, de Groot M, Lin FR, Deal JA. Hearing loss and microstructural integrity of the brain in a dementia-free older population. Alzheimers Dement 2020; 16:1515-1523. [PMID: 32743902 DOI: 10.1002/alz.12151] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 06/25/2020] [Accepted: 06/25/2020] [Indexed: 02/02/2023]
Abstract
INTRODUCTION As hearing loss has been identified as an important risk factor for dementia, we aimed to assess the association between hearing loss and microstructural integrity of the brain. METHODS A total of 1086 dementia-free participants (mean age = 75.2 [standard deviation: 4.9], 61.4% female) of the population-based Atherosclerosis Risk in Communities (ARIC) study underwent hearing assessment (2016-2017) and magnetic resonance imaging of the brain (2011-2013). Microstructural integrity was determined with diffusion tensor imaging. Multivariable linear regression was used to investigate associations between hearing loss and microstructural integrity of different brain regions and white matter (WM) tracts. RESULTS Hearing loss was associated with lower WM microstructural integrity in the temporal lobe, lower gray matter integrity of the hippocampus, and with lower WM microstructural integrity of the limbic tracts and the uncinate fasciculus. CONCLUSION Our results demonstrate that hearing loss is indepedently associated with lower microstructural integrity in brain regions that are important for different cognitive processes.
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Affiliation(s)
- Pauline H Croll
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands.,Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Robert I Reid
- Department of Information Technology, Mayo Clinic Foundation, Rochester, Minnesota, USA
| | - André Goedegebure
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Melinda C Power
- Department of Epidemiology, George Washington University Milken Institute School of Public Health, Washington, District of Columbia, USA
| | - Stephanie C Rigters
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - A Richey Sharrett
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Robert J Baatenburg de Jong
- Department of Otorhinolaryngology, Head and Neck Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Thomas H Mosley
- The MIND Center, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Marius de Groot
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Frank R Lin
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA.,Department of Otolaryngology-Head & Neck Surgery, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jennifer A Deal
- Cochlear Center for Hearing and Public Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.,Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
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23
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Hayek D, Thams F, Flöel A, Antonenko D. Dentate Gyrus Volume Mediates the Effect of Fornix Microstructure on Memory Formation in Older Adults. Front Aging Neurosci 2020; 12:79. [PMID: 32265687 PMCID: PMC7098987 DOI: 10.3389/fnagi.2020.00079] [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: 10/26/2019] [Accepted: 03/04/2020] [Indexed: 12/25/2022] Open
Abstract
Age-related deterioration in white and gray matter is linked to cognitive deficits. Reduced microstructure of the fornix, the major efferent pathway of the hippocampus, and volume of the dentate gyrus (DG), may cause age-associated memory decline. However, the linkage between these anatomical determinants and memory retrieval in healthy aging are poorly understood. In 30 older adults, we acquired diffusion tensor and T1-weighted images for individual deterministic tractography and volume estimation. A memory task, administered outside of the scanner to assess retrieval of learned associations, required discrimination of previously acquired picture-word pairs. The results showed that fornix fractional anisotropy (FA) and left DG volumes were related to successful retrieval. These brain-behavior associations were observed for correct rejections, but not hits, indicating specificity of memory network functioning for detecting false associations. Mediation analyses showed that left DG volume mediated the effect of fornix FA on memory (48%), but not vice versa. These findings suggest that reduced microstructure induces volume loss and thus negatively affects retrieval of learned associations, complementing evidence of a pivotal role of the fornix in healthy aging. Our study offers a neurobehavioral model to explain variability in memory retrieval in older adults, an important prerequisite for the development of interventions to counteract cognitive decline.
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Affiliation(s)
- Dayana Hayek
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Friederike Thams
- Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
| | - Agnes Flöel
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE) Standort Greifswald, Greifswald, Germany
| | - Daria Antonenko
- Department of Neurology, NeuroCure Clinical Research Center, Berlin Institute of Health, Corporate Member of Freie Universität Berlin, Charité - Universitätsmedizin Berlin, Humboldt-Universität Berlin, Berlin, Germany.,Department of Neurology, Universitätsmedizin Greifswald, Greifswald, Germany
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24
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Investigating microstructural variation in the human hippocampus using non-negative matrix factorization. Neuroimage 2020; 207:116348. [DOI: 10.1016/j.neuroimage.2019.116348] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 11/05/2019] [Accepted: 11/08/2019] [Indexed: 11/23/2022] Open
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25
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Kalzendorf J, Brueggen K, Teipel S. Cognitive Reserve Is Not Associated With Hippocampal Microstructure in Older Adults Without Dementia. Front Aging Neurosci 2020; 11:380. [PMID: 32226374 PMCID: PMC7081775 DOI: 10.3389/fnagi.2019.00380] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 12/26/2019] [Indexed: 11/13/2022] Open
Abstract
Objective Mean Diffusivity (MD) as measured by diffusion tensor imaging (DTI) can be used to detect microstructural alterations of the brain's gray matter (GM). A previous study found that higher education, which is a proxy for cognitive reserve (CR), was related to decreased hippocampal MD in middle-aged healthy adults, indicating decreased microstructural damage in more educated participants. Based on this study, we aimed at determining the role of hippocampal GM MD in the interaction of AD pathology and CR in older people without dementia. Method We used a sample of 52 cognitively normal people and 38 participants with late mild cognitive impairment (LMCI) from the ADNI database. MCI and cognitively normal participants were analyzed separately. Using linear models, we regressed hippocampal GM MD on CR (quantified by a composite score), amyloid status and the interaction of both, adjusting for age, gender and memory score. Results CR was not associated with hippocampal GM MD and hippocampal GM volume. Also, no interaction of amyloid status and CR was found. Conclusion Our results do not confirm an association of CR and hippocampal GM MD in older adults. In contrast to previous studies, we did not find an association between CR and microstructural, nor macrostructural alterations of the hippocampus in older adults. More research is needed to determine the influence of CR on hippocampal microstructural integrity in relation to age and AD pathology.
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Affiliation(s)
- Judith Kalzendorf
- DZNE, German Center for Neurodegenerative Diseases, Rostock, Germany.,Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
| | | | - Stefan Teipel
- DZNE, German Center for Neurodegenerative Diseases, Rostock, Germany.,Department of Psychosomatic Medicine, University Medicine Rostock, Rostock, Germany
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26
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Langnes E, Sneve MH, Sederevicius D, Amlien IK, Walhovd KB, Fjell AM. Anterior and posterior hippocampus macro‐ and microstructure across the lifespan in relation to memory—A longitudinal study. Hippocampus 2020; 30:678-692. [DOI: 10.1002/hipo.23189] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 12/16/2019] [Accepted: 12/20/2019] [Indexed: 12/28/2022]
Affiliation(s)
- Espen Langnes
- Center for Lifespan Changes in Brain and CognitionUniversity of Oslo Norway
| | - Markus H. Sneve
- Center for Lifespan Changes in Brain and CognitionUniversity of Oslo Norway
| | | | - Inge K. Amlien
- Center for Lifespan Changes in Brain and CognitionUniversity of Oslo Norway
| | - Kristine B. Walhovd
- Center for Lifespan Changes in Brain and CognitionUniversity of Oslo Norway
- Department of Radiology and Nuclear MedicineOslo University Hospital Oslo Norway
| | - Anders M. Fjell
- Center for Lifespan Changes in Brain and CognitionUniversity of Oslo Norway
- Department of Radiology and Nuclear MedicineOslo University Hospital Oslo Norway
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27
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Thomas K, Beyer F, Lewe G, Zhang R, Schindler S, Schönknecht P, Stumvoll M, Villringer A, Witte AV. Higher body mass index is linked to altered hypothalamic microstructure. Sci Rep 2019; 9:17373. [PMID: 31758009 PMCID: PMC6874651 DOI: 10.1038/s41598-019-53578-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/01/2019] [Indexed: 01/23/2023] Open
Abstract
Animal studies suggest that obesity-related diets induce structural changes in the hypothalamus, a key brain area involved in energy homeostasis. Whether this translates to humans is however largely unknown. Using a novel multimodal approach with manual segmentation, we here show that a higher body mass index (BMI) selectively predicted higher proton diffusivity within the hypothalamus, indicative of compromised microstructure in the underlying tissue, in a well-characterized population-based cohort (n1 = 338, 48% females, age 21-78 years, BMI 18-43 kg/m²). Results were independent from confounders and confirmed in another independent sample (n2 = 236). In addition, while hypothalamic volume was not associated with obesity, we identified a sexual dimorphism and larger hypothalamic volumes in the left compared to the right hemisphere. Using two large samples of the general population, we showed that a higher BMI specifically relates to altered microstructure in the hypothalamus, independent from confounders such as age, sex and obesity-associated co-morbidities. This points to persisting microstructural changes in a key regulatory area of energy homeostasis occurring with excessive weight. Our findings may help to better understand the pathomechanisms of obesity and other eating-related disorders.
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Affiliation(s)
- K Thomas
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Collaborative Research Centre 1052'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany
| | - F Beyer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Collaborative Research Centre 1052'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany
| | - G Lewe
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - R Zhang
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - S Schindler
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, 04103, Leipzig, Germany
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
| | - P Schönknecht
- Department of Psychiatry and Psychotherapy, Leipzig University Hospital, 04103, Leipzig, Germany
| | - M Stumvoll
- Collaborative Research Centre 1052'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany
- Department of Endocrinology and Nephrology, Leipzig University Hospital, 04103, Leipzig, Germany
| | - A Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany
- Collaborative Research Centre 1052'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany
- Clinic of Cognitive Neurology, Leipzig University Hospital, 04103, Leipzig, Germany
- Leipzig Research Center for Civilization Diseases (LIFE), Leipzig University, 04103, Leipzig, Germany
| | - A V Witte
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103, Leipzig, Germany.
- Collaborative Research Centre 1052'Obesity Mechanisms', Subproject A1, Faculty of Medicine, Leipzig University, 04103, Leipzig, Germany.
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28
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Fjell AM, Sneve MH, Sederevicius D, Sørensen Ø, Krogsrud SK, Mowinckel AM, Walhovd KB. Volumetric and microstructural regional changes of the hippocampus underlying development of recall performance after extended retention intervals. Dev Cogn Neurosci 2019; 40:100723. [PMID: 31678691 PMCID: PMC6974909 DOI: 10.1016/j.dcn.2019.100723] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 10/10/2019] [Accepted: 10/19/2019] [Indexed: 01/12/2023] Open
Abstract
Unique developmental effects on recall over days rather than minutes. Development of visual recall explainable by visuo-constructive ability. Development of verbal recall not explained by verbal ability. Modest relationships between recall performance and hippocampus structure.
Performance on recall tests improves through childhood and adolescence, in part due to structural maturation of the medial temporal cortex. Although partly different processes support successful recall over shorter vs. longer intervals, recall is usually tested after less than an hour. The aim of the present study was to test whether there are unique developmental changes in recall performance using extended retention intervals, and whether these are related to structural maturation of sub-regions of the hippocampus. 650 children and adolescents from 4.1 to 24.8 years were assessed in total 962 times (mean interval ≈ 1.8 years). The California Verbal Learning Test (CVLT) and the Rey Complex Figure Test (CFT) were used. Recall was tested 30 min and ≈ 10 days after encoding. We found unique developmental effects on recall in the extended retention interval condition independently of 30 min recall performance. For CVLT, major improvements happened between 10 and 15 years. For CFT, improvement was linear and was accounted for by visuo-constructive abilities. The relationships did not show anterior-posterior hippocampal axis differences. In conclusion, performance on recall tests using extended retention intervals shows unique development, likely due to changes in encoding depth or efficacy, or improvements of long-term consolidation processes.
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Affiliation(s)
- Anders M Fjell
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
| | - Markus H Sneve
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | | | - Øystein Sørensen
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | - Stine K Krogsrud
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway
| | | | - Kristine B Walhovd
- Center for Lifespan Changes in Brain and Cognition, University of Oslo, Norway; Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
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29
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Wannan CMJ, Cropley VL, Chakravarty MM, Van Rheenen TE, Mancuso S, Bousman C, Everall I, McGorry PD, Pantelis C, Bartholomeusz CF. Hippocampal subfields and visuospatial associative memory across stages of schizophrenia-spectrum disorder. Psychol Med 2019; 49:2452-2462. [PMID: 30511607 DOI: 10.1017/s0033291718003458] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND While previous studies have identified relationships between hippocampal volumes and memory performance in schizophrenia, these relationships are not apparent in healthy individuals. Further, few studies have examined the role of hippocampal subfields in illness-related memory deficits, and no study has examined potential differences across varying illness stages. The current study aimed to investigate whether individuals with early and established psychosis exhibited differential relationships between visuospatial associative memory and hippocampal subfield volumes. METHODS Measurements of visuospatial associative memory performance and grey matter volume were obtained from 52 individuals with a chronic schizophrenia-spectrum disorder, 28 youth with recent-onset psychosis, 52 older healthy controls, and 28 younger healthy controls. RESULTS Both chronic and recent-onset patients had impaired visuospatial associative memory performance, however, only chronic patients showed hippocampal subfield volume loss. Both chronic and recent-onset patients demonstrated relationships between visuospatial associative memory performance and hippocampal subfield volumes in the CA4/dentate gyrus and the stratum that were not observed in older healthy controls. There were no group by volume interactions when chronic and recent-onset patients were compared. CONCLUSIONS The current study extends the findings of previous studies by identifying particular hippocampal subfields, including the hippocampal stratum layers and the dentate gyrus, that appear to be related to visuospatial associative memory ability in individuals with both chronic and first-episode psychosis.
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Affiliation(s)
- Cassandra M J Wannan
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
- The Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
- The Cooperative Research Centre for Mental Health, Melbourne, Australia
- North Western Mental Health, Melbourne Health, Parkville, VIC, Australia
| | - Vanessa L Cropley
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Canada
- Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montreal, Canada
| | - Tamsyn E Van Rheenen
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Centre for Mental Health, Faculty of Health, Arts and Design, School of Health Sciences, Swinburne University, Melbourne, Australia
| | - Sam Mancuso
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
| | - Chad Bousman
- Departments of Medical Genetics, Psychiatry, and Physiology & Pharmacology, University of Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, Calgary, AB, Canada
| | - Ian Everall
- The Cooperative Research Centre for Mental Health, Melbourne, Australia
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
- Department of Electrical and Electronic Engineering, Centre for Neural Engineering, University of Melbourne, South Carlton, Victoria, Australia
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, UK
- Florey Institute for Neuroscience & Mental Health, Parkville, VIC, Australia
| | - Patrick D McGorry
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- The Cooperative Research Centre for Mental Health, Melbourne, Australia
- North Western Mental Health, Melbourne Health, Parkville, VIC, Australia
- Department of Psychiatry, The University of Melbourne, Parkville, Victoria, Australia
- Department of Electrical and Electronic Engineering, Centre for Neural Engineering, University of Melbourne, South Carlton, Victoria, Australia
- Florey Institute for Neuroscience & Mental Health, Parkville, VIC, Australia
| | - Cali F Bartholomeusz
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Victoria, Australia
- The Centre for Youth Mental Health, The University of Melbourne, Parkville, Victoria, Australia
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30
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Hou B, Kang G, Zhang N, Liu K. Multi-target Interactive Neural Network for Automated Segmentation of the Hippocampus in Magnetic Resonance Imaging. Cognit Comput 2019. [DOI: 10.1007/s12559-019-09645-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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31
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Zhong Q, Xu H, Qin J, Zeng LL, Hu D, Shen H. Functional parcellation of the hippocampus from resting-state dynamic functional connectivity. Brain Res 2019; 1715:165-175. [PMID: 30910629 DOI: 10.1016/j.brainres.2019.03.023] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2018] [Revised: 01/27/2019] [Accepted: 03/21/2019] [Indexed: 01/20/2023]
Abstract
The hippocampus consists of functionally and structurally heterogeneous regions that are involved in multiple functions such as learning and memory. Previous studies on connectivity-based functional subdivisions of the hippocampus, however, overlooked the dynamic nature of resting-state functional connectivity (FC). In this study, we selected 50 subjects with the lowest head motion from the Human Connectome Project dataset and performed a two-stage spectral clustering technique to windowed FC correlations for identifying the potential covariant structures during the spontaneous fluctuation of hippocampal-cortical FC. The obtained covariant structures were believed to be functionally homogeneous by coupling with whole-brain regions in all transient connectivity states and consequently subdivided the left and right hippocampus into six and five functional subregions, respectively. Further, we demonstrated that this dynamic-FC-derived hippocampal parcellation exhibited significantly improved reproducibility of segmented subregions across subjects compared with static FC analysis. The findings extend our understanding to the functional organization within the hippocampus and provide a more comprehensive view of the functional flexibility of the hippocampus over time.
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Affiliation(s)
- Qi Zhong
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Huaze Xu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Jian Qin
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Ling-Li Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Dewen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China
| | - Hui Shen
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, Hunan 410073, China.
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32
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Clarifying associations between cortical thickness, subcortical structures, and a comprehensive assessment of clinical insight in enduring schizophrenia. Schizophr Res 2019; 204:245-252. [PMID: 30150023 DOI: 10.1016/j.schres.2018.08.024] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 07/31/2018] [Accepted: 08/13/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND The relationship between poor insight and less favorable outcomes in schizophrenia has promoted research efforts to understand its neurobiological basis. Thus far, research on neural correlates of insight has been constrained by small samples, incomplete insight assessments, and a focus on frontal lobes. The purpose of this study was to examine associations of cortical thickness and subcortical volumes, with a comprehensive assessment of clinical insight, in a large sample of enduring schizophrenia patients. METHODS Two dimensions of clinical insight previously identified by a factor analysis of 4 insight assessments were used: Awareness of Illness and Need for Treatment (AINT) and Awareness of Symptoms and Consequences (ASC). T1-weighted structural images were acquired on a 3 T MRI scanner for 110 schizophrenia patients and 69 healthy controls. MR images were processed using CIVET (version 2.0) and MAGeT and quality controlled pre and post-processing. Whole-brain and region-of-interest, vertex-wise linear models were applied between cortical thickness, and levels of AINT and ASC. Partial correlations were conducted between volumes of the amygdala, thalamus, striatum, and hippocampus and insight levels. RESULTS No significant associations between both insight factors and cortical thickness were observed. Moreover, no significant associations emerged between subcortical volumes and both insight factors. CONCLUSIONS These results do not replicate previous findings obtained with smaller samples using single-item measures of insight into illness, suggesting a limited role of neurobiological factors and a greater role of psychological processes in explaining levels of clinical insight.
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Christidi F, Karavasilis E, Velonakis G, Ferentinos P, Rentzos M, Kelekis N, Evdokimidis I, Bede P. The Clinical and Radiological Spectrum of Hippocampal Pathology in Amyotrophic Lateral Sclerosis. Front Neurol 2018; 9:523. [PMID: 30018591 PMCID: PMC6037820 DOI: 10.3389/fneur.2018.00523] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 06/13/2018] [Indexed: 12/29/2022] Open
Abstract
Hippocampal pathology in Amyotrophic Lateral Sclerosis (ALS) remains surprisingly under recognized despite compelling evidence from neuropsychology, neuroimaging and neuropathology studies. Hippocampal dysfunction contributes significantly to the clinical heterogeneity of ALS and requires structure-specific cognitive and neuroimaging tools for accurate in vivo evaluation. Recent imaging studies have generated unprecedented insights into the presymptomatic and longitudinal processes affecting this structure and have contributed to the characterisation of both focal and network-level changes. Emerging neuropsychology data suggest that memory deficits in ALS may be independent from executive dysfunction. In the era of precision medicine, where the development of individualized care strategies and patient stratification for clinical trials are key priorities, the comprehensive review of hippocampal dysfunction in ALS is particularly timely.
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Affiliation(s)
- Foteini Christidi
- First Department of Neurology, Aeginition Hospital National and Kapodistrian University of Athens, Athens, Greece
| | - Efstratios Karavasilis
- Second Department of Radiology, General University Hospital “Attikon”, National and Kapodistrian University of Athens, Athens, Greece
| | - Georgios Velonakis
- Second Department of Radiology, General University Hospital “Attikon”, National and Kapodistrian University of Athens, Athens, Greece
| | - Panagiotis Ferentinos
- Second Department of Psychiatry, General University Hospital “Attikon”, National and Kapodistrian University of Athens, Athens, Greece
| | - Michail Rentzos
- First Department of Neurology, Aeginition Hospital National and Kapodistrian University of Athens, Athens, Greece
| | - Nikolaos Kelekis
- Second Department of Radiology, General University Hospital “Attikon”, National and Kapodistrian University of Athens, Athens, Greece
| | - Ioannis Evdokimidis
- First Department of Neurology, Aeginition Hospital National and Kapodistrian University of Athens, Athens, Greece
| | - Peter Bede
- Computational Neuroimaging Group, Academic Unit of Neurology, Trinity College Dublin, Dublin, Ireland
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Eldeeb GW, Zayed N, Yassine IA. Alzheimer'S Disease Classification Using Bag-Of-Words Based On Visual Pattern Of Diffusion Anisotropy For DTI Imaging. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:57-60. [PMID: 30440340 DOI: 10.1109/embc.2018.8512203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Diffusion tensor imaging (DTI) has recently been added to the large scale of studies for Alzheimer's Disease (AD) to investigate the White Matter (WM) defects that are not detectable using structural MRI. In this paper, we extracted Speeded Up Robust Features (SURF) and Scale Invariant Feature Transform (SIFT) features, based on the visual diffusion patterns of Fractional Anisotropy (FA), and Mean Diffusivity (MD) maps, to build bag-of-words AD-signature for the hippocampal area. The experiments were accomplished with a subset of participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset formed of AD patients (n = 35), Early Mild Cognitive Impairment (EMCI) (n=6), Late Mild Cognitive Impairment (LMCI) (n=24) and cognitively healthy elderly Normal Controls (NC) (n=31). The preliminary studied experiments give promising results that would consider the proposed system as an accurate and useful tool to capture the AD leanness with accuracy of 87% and 89% for FA and MD maps respectively.
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Huhn S, Beyer F, Zhang R, Lampe L, Grothe J, Kratzsch J, Willenberg A, Breitfeld J, Kovacs P, Stumvoll M, Trampel R, Bazin PL, Villringer A, Witte AV. Effects of resveratrol on memory performance, hippocampus connectivity and microstructure in older adults - A randomized controlled trial. Neuroimage 2018; 174:177-190. [PMID: 29548848 DOI: 10.1016/j.neuroimage.2018.03.023] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 03/03/2018] [Accepted: 03/12/2018] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION The polyphenol resveratrol has been suggested to exert beneficial effects on memory and the aging hippocampus due to calorie-restriction mimicking effects. However, the evidence based on human interventional studies is scarce. We therefore aimed to determine the effects of resveratrol on memory performance, and to identify potential underlying mechanisms using a broad array of blood-based biomarkers as well as hippocampus connectivity and microstructure assessed with ultra-high field magnetic resonance imaging (UHF-MRI). METHODS In this double-blind, randomized controlled trial, 60 elderly participants (60-79 years) with a wide body-mass index (BMI) range of 21-37 kg/m2 were randomized to receive either resveratrol (200 mg/day) or placebo for 26 weeks (registered at ClinicalTrials.gov: NCT02621554). Baseline and follow-up assessments included the California Verbal Learning Task (CVLT, main outcome), the ModBent task, anthropometry, markers of glucose and lipid metabolism, inflammation and neurotrophins derived from fasting blood, multimodal neuroimaging at 3 and 7 T, and questionnaires to assess confounding factors. RESULTS Multivariate repeated-measures ANOVA did not detect significant time by group effects for CVLT performance. There was a trend for preserved pattern recognition memory after resveratrol, while performance decreased in the placebo group (n.s., p = 0.07). Further exploratory analyses showed increases in both groups over time in body fat, cholesterol, fasting glucose, interleukin 6, high sensitive C-reactive protein, tumor necrosis factor alpha and in mean diffusivity of the subiculum and presubiculum, as well as decreases in physical activity, brain-derived neurotrophic factor and insulin-like growth factor 1 at follow-up, which were partly more pronounced after resveratrol. DISCUSSION This interventional study failed to show significant improvements in verbal memory after 6 months of resveratrol in healthy elderly with a wide BMI range. A non-significant trend emerged for positive effects on pattern recognition memory, while possible confounding effects of unfavorable changes in lifestyle behavior, neurotrophins and inflammatory markers occurred. Our findings also indicate the feasibility to detect (un)healthy aging-related changes in measures of hippocampus microstructure after 6 months using 7T diffusion MRI. More studies incorporating a longer duration and larger sample size are needed to determine if resveratrol enhances memory performance in healthy older adults.
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Affiliation(s)
- Sebastian Huhn
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
| | - Frauke Beyer
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
| | - Rui Zhang
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
| | - Leonie Lampe
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany.
| | - Jana Grothe
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany.
| | - Jürgen Kratzsch
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany.
| | - Anja Willenberg
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany.
| | - Jana Breitfeld
- Leipzig University Medical Center, IFB AdiposityDiseases, Leipzig, Germany.
| | - Peter Kovacs
- Leipzig University Medical Center, IFB AdiposityDiseases, Leipzig, Germany.
| | - Michael Stumvoll
- Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany; IFB Adiposity Diseases, Medical Research Centre, University of Leipzig, Leipzig, Germany.
| | - Robert Trampel
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany.
| | - Pierre-Louis Bazin
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Spinoza Centre for Neuroimaging, Amsterdam, Netherlands; Netherlands Institute for Neuroscience, Amsterdam, Netherlands.
| | - Arno Villringer
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
| | - A Veronica Witte
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Stephanstr. 1A, 04103 Leipzig, Germany; Collaborative Research Centre 1052 'Obesity Mechanisms', Subproject A1, Faculty of Medicine, University of Leipzig, Leipzig, Germany.
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Anblagan D, Valdés Hernández MC, Ritchie SJ, Aribisala BS, Royle NA, Hamilton IF, Cox SR, Gow AJ, Pattie A, Corley J, Starr JM, Muñoz Maniega S, Bastin ME, Deary IJ, Wardlaw JM. Coupled changes in hippocampal structure and cognitive ability in later life. Brain Behav 2018; 8:e00838. [PMID: 29484252 PMCID: PMC5822578 DOI: 10.1002/brb3.838] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Revised: 07/07/2017] [Accepted: 08/07/2017] [Indexed: 11/30/2022] Open
Abstract
Introduction The hippocampus plays an important role in cognitive abilities which often decline with advancing age. Methods In a longitudinal study of community-dwelling adults, we investigated whether there were coupled changes in hippocampal structure and verbal memory, working memory, and processing speed between the ages of 73 (N = 655) and 76 years (N = 469). Hippocampal structure was indexed by hippocampal volume, hippocampal volume as a percentage of intracranial volume (H_ICV), fractional anisotropy (FA), mean diffusivity (MD), and longitudinal relaxation time (T1). Results Mean levels of hippocampal volume, H_ICV, FA, T1, and all three cognitive abilities domains decreased, whereas MD increased, from age 73 to 76. At baseline, higher hippocampal volume was associated with better working memory and verbal memory, but none of these correlations survived correction for multiple comparisons. Higher FA, lower MD, and lower T1 at baseline were associated with better cognitive abilities in all three domains; only the correlation between baseline hippocampal MD and T1, and change in the three cognitive domains, survived correction for multiple comparisons. Individuals with higher hippocampal MD at age 73 experienced a greater decline in all three cognitive abilities between ages 73 and 76. However, no significant associations with changes in cognitive abilities were found with hippocampal volume, FA, and T1 measures at baseline. Similarly, no significant associations were found between cognitive abilities at age 73 and changes in the hippocampal MRI biomarkers between ages 73 and 76. Conclusion Our results provide evidence to better understand how the hippocampus ages in healthy adults in relation to the cognitive domains in which it is involved, suggesting that better hippocampal MD at age 73 predicts less relative decline in three important cognitive domains across the next 3 years. It can potentially assist in diagnosing early stages of aging-related neuropathologies, because in some cases, accelerated decline could predict pathologies.
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Affiliation(s)
- Devasuda Anblagan
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
| | - Maria C. Valdés Hernández
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
| | - Stuart J. Ritchie
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Benjamin S. Aribisala
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Department of Computer ScienceLagos State UniversityLagosNigeria
| | - Natalie A. Royle
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
| | - Iona F. Hamilton
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
| | - Simon R. Cox
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Alan J. Gow
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of PsychologySchool of Social SciencesHeriot‐Watt UniversityEdinburghUK
| | - Alison Pattie
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Janie Corley
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Alzheimer Scotland Dementia Research CentreUniversity of EdinburghEdinburghUK
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
| | - Mark E. Bastin
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
| | - Ian J. Deary
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of PsychologyUniversity of EdinburghEdinburghUK
| | - Joanna M. Wardlaw
- Centre for Cognitive Ageing and Cognitive EpidemiologyUniversity of EdinburghEdinburghUK
- Department of Neuroimaging SciencesCentre for Clinical Brain SciencesUniversity of EdinburghEdinburghUK
- Scottish Imaging NetworkA Platform for Scientific Excellence (SINAPSE) CollaborationEdinburghUK
- Edinburgh Dementia Research CentreUK Dementia Research InstituteEdinburghUK
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Novellino F, Vasta R, Sarica A, Chiriaco C, Salsone M, Morelli M, Arabia G, Saccà V, Nicoletti G, Quattrone A. Relationship between Hippocampal Subfields and Category Cued Recall in AD and PDD: A Multimodal MRI Study. Neuroscience 2018; 371:506-517. [DOI: 10.1016/j.neuroscience.2017.12.028] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2017] [Revised: 12/19/2017] [Accepted: 12/20/2017] [Indexed: 11/28/2022]
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Madan CR. Advances in Studying Brain Morphology: The Benefits of Open-Access Data. Front Hum Neurosci 2017; 11:405. [PMID: 28824407 PMCID: PMC5543094 DOI: 10.3389/fnhum.2017.00405] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 07/21/2017] [Indexed: 12/20/2022] Open
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Multi-modal MRI investigation of volumetric and microstructural changes in the hippocampus and its subfields in mild cognitive impairment, Alzheimer's disease, and dementia with Lewy bodies. Int Psychogeriatr 2017; 29:545-555. [PMID: 28088928 PMCID: PMC5819731 DOI: 10.1017/s1041610216002143] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Volumetric atrophy and microstructural alterations in diffusion tensor imaging (DTI) measures of the hippocampus have been reported in people with Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, no study to date has jointly investigated concomitant microstructural and volumetric changes of the hippocampus in dementia with Lewy bodies (DLB). METHODS A total of 84 subjects (23 MCI, 17 DLB, 14 AD, and 30 healthy controls) were recruited for a multi-modal imaging (3T MRI and DTI) study that included neuropsychological evaluation. Freesurfer was used to segment the total hippocampus and delineate its subfields. The hippocampal segmentations were co-registered to the mean diffusivity (MD) and fractional anisotropy (FA) maps obtained from the DTI images. RESULTS Both AD and MCI groups showed significantly smaller hippocampal volumes compared to DLB and controls, predominantly in the CA1 and subiculum subfields. Compared to controls, hippocampal MD was elevated in AD, but not in MCI. DLB was characterized by both volumetric and microstructural preservation of the hippocampus. In MCI, higher hippocampal MD was associated with greater atrophy of the hippocampus and CA1 region. Hippocampal volume was a stronger predictor of memory scores compared to MD within the MCI group. CONCLUSIONS Through a multi-modal integration, we report novel evidence that the hippocampus in DLB is characterized by both macrostructural and microstructural preservation. Contrary to recent suggestions, our findings do not support the view that DTI measurements of the hippocampus are superior to volumetric changes in characterizing group differences, particularly between MCI and controls.
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Zhang L, Wang Q, Gao Y, Wu G, Shen D. Concatenated Spatially-localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images. Neurocomputing 2017; 229:3-12. [PMID: 28133417 PMCID: PMC5268165 DOI: 10.1016/j.neucom.2016.05.082] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Automatic labeling of the hippocampus in brain MR images is highly demanded, as it has played an important role in imaging-based brain studies. However, accurate labeling of the hippocampus is still challenging, partially due to the ambiguous intensity boundary between the hippocampus and surrounding anatomies. In this paper, we propose a concatenated set of spatially-localized random forests for multi-atlas-based hippocampus labeling of adult/infant brain MR images. The contribution in our work is two-fold. First, each forest classifier is trained to label just a specific sub-region of the hippocampus, thus enhancing the labeling accuracy. Second, a novel forest selection strategy is proposed, such that each voxel in the test image can automatically select a set of optimal forests, and then dynamically fuses their respective outputs for determining the final label. Furthermore, we enhance the spatially-localized random forests with the aid of the auto-context strategy. In this way, our proposed learning framework can gradually refine the tentative labeling result for better performance. Experiments show that, regarding the large datasets of both adult and infant brain MR images, our method owns satisfactory scalability by segmenting the hippocampus accurately and efficiently.
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Affiliation(s)
- Lichi Zhang
- Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University
| | - Qian Wang
- Med-X Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University
| | - Yaozong Gao
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Department of Computer Science, University of North Carolina at Chapel Hill
| | - Guorong Wu
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill
| | - Dinggang Shen
- Department of Radiology and BRIC, University of North Carolina at Chapel Hill; Department of Brain and Cognitive Engineering, Korea University, Seoul 02841, Republic of Korea
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Köbe T, Witte AV, Schnelle A, Tesky VA, Pantel J, Schuchardt JP, Hahn A, Bohlken J, Grittner U, Flöel A. Impact of Resveratrol on Glucose Control, Hippocampal Structure and Connectivity, and Memory Performance in Patients with Mild Cognitive Impairment. Front Neurosci 2017; 11:105. [PMID: 28326010 PMCID: PMC5339301 DOI: 10.3389/fnins.2017.00105] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 02/20/2017] [Indexed: 11/13/2022] Open
Abstract
In healthy older adults, resveratrol supplementation has been shown to improve long-term glucose control, resting-state functional connectivity (RSFC) of the hippocampus, and memory function. Here, we aimed to investigate if these beneficial effects extend to individuals at high-risk for dementia, i.e., patients with mild cognitive impairment (MCI). In a randomized, double-blind interventional study, 40 well-characterized patients with MCI (21 females; 50-80 years) completed 26 weeks of resveratrol (200 mg/d; n = 18) or placebo (1,015 mg/d olive oil; n = 22) intake. Serum levels of glucose, glycated hemoglobin A1c and insulin were determined before and after intervention. Moreover, cerebral magnetic resonance imaging (MRI) (3T) (n = 14 vs. 16) was conducted to analyze hippocampus volume, microstructure and RSFC, and neuropsychological testing was conducted to assess learning and memory (primary endpoint) at both time points. In comparison to the control group, resveratrol supplementation resulted in lower glycated hemoglobin A1c concentration with a moderate effect size (ANOVARMp = 0.059, Cohen's d = 0.66), higher RSFC between right anterior hippocampus and right angular cortex (p < 0.001), and led to a moderate preservation of left anterior hippocampus volume (ANOVARMp = 0.061, Cohen's d = 0.68). No significant differences in memory performance emerged between groups. This proof-of-concept study indicates for the first-time that resveratrol intake may reduce glycated hemoglobin A1c, preserves hippocampus volume, and improves hippocampus RSFC in at-risk patients for dementia. Larger trials with longer intervention time should now determine if these benefits can be validated and extended to cognitive function.
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Affiliation(s)
- Theresa Köbe
- Department of Neurology, Charité - University Medicine BerlinBerlin, Germany; NeuroCure Cluster of Excellence, Charité - University Medicine BerlinBerlin, Germany
| | - A Veronica Witte
- Department of Neurology, Charité - University Medicine BerlinBerlin, Germany; NeuroCure Cluster of Excellence, Charité - University Medicine BerlinBerlin, Germany; Department of Neurology, Max Planck Institute of Human Cognitive and Brain SciencesLeipzig, Germany; SFB 1052 Obesity Mechanism Subproject A1, University of LeipzigLeipzig, Germany
| | - Ariane Schnelle
- Department of Neurology, Charité - University Medicine BerlinBerlin, Germany; NeuroCure Cluster of Excellence, Charité - University Medicine BerlinBerlin, Germany
| | - Valentina A Tesky
- Department of General Medicine, Goethe-University Frankfurt am Main, Germany
| | - Johannes Pantel
- Department of General Medicine, Goethe-University Frankfurt am Main, Germany
| | - Jan-Philipp Schuchardt
- Department of Nutrition Physiology and Human Nutrition, Gottfried Wilhelm Leibniz University Hannover, Germany
| | - Andreas Hahn
- Department of Nutrition Physiology and Human Nutrition, Gottfried Wilhelm Leibniz University Hannover, Germany
| | - Jens Bohlken
- Medical Practice Bohlken for Neurology and Psychiatry Berlin, Germany
| | - Ulrike Grittner
- Biostatistics and Clinical Epidemiology, Charité - University Medicine Berlin Berlin, Germany
| | - Agnes Flöel
- Department of Neurology, Charité - University Medicine BerlinBerlin, Germany; NeuroCure Cluster of Excellence, Charité - University Medicine BerlinBerlin, Germany; Center for Stroke Research Berlin, Charité - University Medicine BerlinBerlin, Germany; Department of Neurology, University Medicine GreifswaldGreifswald, Germany
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Gillespie NA, Neale MC, Hagler DJ, Eyler LT, Fennema-Notestine C, Franz CE, Lyons MJ, McEvoy LK, Dale AM, Panizzon MS, Kremen WS. Genetic and environmental influences on mean diffusivity and volume in subcortical brain regions. Hum Brain Mapp 2017; 38:2589-2598. [PMID: 28240386 DOI: 10.1002/hbm.23544] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 02/07/2017] [Accepted: 02/08/2017] [Indexed: 12/15/2022] Open
Abstract
Increased mean diffusivity (MD) is hypothesized to reflect tissue degeneration and may provide subtle indicators of neuropathology as well as age-related brain changes in the absence of volumetric differences. Our aim was to determine the degree to which genetic and environmental variation in subcortical MD is distinct from variation in subcortical volume. Data were derived from a sample of 387 male twins (83 MZ twin pairs, 55 DZ twin pairs, and 111 incomplete twin pairs) who were MRI scanned as part of the Vietnam Era Twin Study of Aging. Quantitative estimates of MD and volume for 7 subcortical regions were obtained: thalamus, caudate nucleus, putamen, pallidum, hippocampus, amygdala, and nucleus accumbens. After adjusting for covariates, bivariate twin models were fitted to estimate the size and significance of phenotypic, genotypic, and environmental correlations between MD and volume at each subcortical region. With the exception of the amygdala, familial aggregation in MD was entirely explained by additive genetic factors across all subcortical regions with estimates ranging from 46 to 84%. Based on bivariate twin modeling, variation in subcortical MD appears to be both genetically and environmentally unrelated to individual differences in subcortical volume. Therefore, subcortical MD may be an alternative biomarker of brain morphology for complex traits worthy of future investigation. Hum Brain Mapp 38:2589-2598, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Nathan A Gillespie
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Virginia
| | - Michael C Neale
- Virginia Institute for Psychiatric and Behavior Genetics, Virginia Commonwealth University, Virginia
| | - Donald J Hagler
- Department of Radiology, University of California, San Diego, California
| | - Lisa T Eyler
- Desert-Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, California.,Department of Psychiatry, University of California, San Diego, California
| | - Christine Fennema-Notestine
- Department of Radiology, University of California, San Diego, California.,Department of Psychiatry, University of California, San Diego, California
| | - Carol E Franz
- Department of Psychiatry, University of California, San Diego, California
| | - Michael J Lyons
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts
| | - Linda K McEvoy
- Department of Radiology, University of California, San Diego, California
| | - Anders M Dale
- Department of Radiology, University of California, San Diego, California.,Department of Psychiatry, University of California, San Diego, California
| | - Matthew S Panizzon
- Department of Psychiatry, University of California, San Diego, California
| | - William S Kremen
- Department of Psychiatry, University of California, San Diego, California.,Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, California
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Lee P, Ryoo H, Park J, Jeong Y. Morphological and Microstructural Changes of the Hippocampus in Early MCI: A Study Utilizing the Alzheimer's Disease Neuroimaging Initiative Database. J Clin Neurol 2017; 13:144-154. [PMID: 28176504 PMCID: PMC5392456 DOI: 10.3988/jcn.2017.13.2.144] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 10/30/2016] [Accepted: 10/31/2016] [Indexed: 01/18/2023] Open
Abstract
Background and Purpose With the aim of facilitating the early detection of Alzheimer's disease, the Alzheimer's Disease Neuroimaging Initiative proposed two stages based on the memory performance: early mild cognitive impairment (EMCI) and late mild cognitive impairment (LMCI). The current study was designed to investigate structural differences in terms of surface atrophy and microstructural changes of the hippocampus in EMCI and LMCI. Methods Hippocampal shape modeling based on progressive template surface deformation was performed on T1-weighted MRI images obtained from 20 cognitive normal (CN) subjects, 17 EMCI patients, and 20 LMCI patients. A template surface in CN was used as a region of interest for diffusion-tensor imaging (DTI) voxel-based morphometry (VBM) analysis. Cluster-wise group comparison was performed based on DTI indices within the hippocampus. Linear regression was performed to identify correlations between DTI metrics and clinical scores. Results The hippocampal surface analysis showed significant atrophies in bilateral CA1 regions and the right ventral subiculum in EMCI, in contrast to widespread atrophy in LMCI. DTI VBM analysis showed increased diffusivity in the CA2–CA4 regions in EMCI and additionally in the subiculum region in LMCI. Hippocampal diffusivity was significantly correlated with scores both for the Mini Mental State Examination and on the Modified Alzheimer Disease Assessment Scale cognitive subscale. However, the hippocampal diffusivity did not vary significantly with the fractional anisotropy. Conclusions EMCI showed hippocampal surface changes mainly in the CA1 region and ventral subiculum. Diffusivity increased mainly in the CA2–CA4 regions in EMCI, while it decreased throughout the hippocampus in LMCI. Although axial diffusivity showed prominent changes in the right hippocampus in EMCI, future studies need to confirm the presence of this laterality difference. In addition, diffusivity is strongly correlated with the cognitive performance, indicating the possibility of using diffusivity as a biomarker for disease progression.
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Affiliation(s)
- Peter Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea
| | - Hojin Ryoo
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea
| | - Jinah Park
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea.
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Ahmed OB, Benois-Pineau J, Allard M, Catheline G, Amar CB. Recognition of Alzheimer's disease and Mild Cognitive Impairment with multimodal image-derived biomarkers and Multiple Kernel Learning. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.08.041] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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Abstract
Automatic and reliable segmentation of hippocampus from MR brain images is of great importance in studies of neurological diseases, such as epilepsy and Alzheimer's disease. In this paper, we proposed a novel metric learning method to fuse segmentation labels in multi-atlas based image segmentation. Different from current label fusion methods that typically adopt a predefined distance metric model to compute a similarity measure between image patches of atlas images and the image to be segmented, we learn a distance metric model from the atlases to keep image patches of the same structure close to each other while those of different structures are separated. The learned distance metric model is then used to compute the similarity measure between image patches in the label fusion. The proposed method has been validated for segmenting hippocampus based on the EADC-ADNI dataset with manually labelled hippocampus of 100 subjects. The experiment results demonstrated that our method achieved statistically significant improvement in segmentation accuracy, compared with state-of-the-art multi-atlas image segmentation methods.
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Affiliation(s)
- Hancan Zhu
- School of Mathematics Physics and Information, Shaoxing University, Shaoxing, 312000, China
| | - Hewei Cheng
- Department of Biomedical Engineering, School of Bioinformatics, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
| | - Xuesong Yang
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
| | - Yong Fan
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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Valdés Hernández MDC, Cox SR, Kim J, Royle NA, Muñoz Maniega S, Gow AJ, Anblagan D, Bastin ME, Park J, Starr JM, Wardlaw JM, Deary IJ. Hippocampal morphology and cognitive functions in community-dwelling older people: the Lothian Birth Cohort 1936. Neurobiol Aging 2016; 52:1-11. [PMID: 28104542 PMCID: PMC5364373 DOI: 10.1016/j.neurobiolaging.2016.12.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2016] [Revised: 11/18/2016] [Accepted: 12/13/2016] [Indexed: 01/18/2023]
Abstract
Structural measures of the hippocampus have been linked to a variety of memory processes and also to broader cognitive abilities. Gross volumetry has been widely used, yet the hippocampus has a complex formation, comprising distinct subfields which may be differentially sensitive to the deleterious effects of age, and to different aspects of cognitive performance. However, a comprehensive analysis of multidomain cognitive associations with hippocampal deformations among a large group of cognitively normal older adults is currently lacking. In 654 participants of the Lothian Birth Cohort 1936 (mean age = 72.5, SD = 0.71 years), we examined associations between the morphology of the hippocampus and a variety of memory tests (spatial span, letter-number sequencing, verbal recall, and digit backwards), as well as broader cognitive domains (latent measures of speed, fluid intelligence, and memory). Following correction for age, sex, and vascular risk factors, analysis of memory subtests revealed that only right hippocampal associations in relation to spatial memory survived type 1 error correction in subiculum and in CA1 at the head (β = 0.201, p = 5.843 × 10-4, outward), and in the ventral tail section of CA1 (β = -0.272, p = 1.347 × 10-5, inward). With respect to latent measures of cognitive domains, only deformations associated with processing speed survived type 1 error correction in bilateral subiculum (βabsolute ≤ 0.247, p < 1.369 × 10-4, outward), bilaterally in the ventral tail section of CA1 (βabsolute ≤ 0.242, p < 3.451 × 10-6, inward), and a cluster at the left anterior-to-dorsal region of the head (β = 0.199, p = 5.220 × 10-6, outward). Overall, our results indicate that a complex pattern of both inward and outward hippocampal deformations are associated with better processing speed and spatial memory in older age, suggesting that complex shape-based hippocampal analyses may provide valuable information beyond gross volumetry.
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Affiliation(s)
- Maria Del Carmen Valdés Hernández
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
| | - Jaeil Kim
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - Natalie A Royle
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Susana Muñoz Maniega
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Alan J Gow
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, Heriot-Watt University, Edinburgh, UK
| | - Devasuda Anblagan
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Jinah Park
- School of Computing, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, a Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK
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Witte AV, Köbe T, Graunke A, Schuchardt JP, Hahn A, Tesky VA, Pantel J, Flöel A. Impact of leptin on memory function and hippocampal structure in mild cognitive impairment. Hum Brain Mapp 2016; 37:4539-4549. [PMID: 27511061 DOI: 10.1002/hbm.23327] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Revised: 06/08/2016] [Accepted: 07/18/2016] [Indexed: 12/12/2022] Open
Abstract
Metabolic changes have been suggested to contribute to dementia and its precursor mild cognitive impairment (MCI), yet previous results particularly for the "satiety hormone" leptin are mixed. Therefore, we aimed to determine if MCI patients show systematic differences in leptin, independent of sex, adipose mass, age, and glucose and lipid metabolism, and whether leptin levels correlated with memory performance and hippocampal integrity. Forty MCI patients (20 females, aged 67 years ± 7 SD) were compared to 40 healthy controls (HC) that were pair-wise matched for sex, age, and body fat. Memory performance was assessed using the auditory verbal learning test. Volume and microstructure of the hippocampus were determined using 3T-neuroimaging. Fasting serum markers of leptin, glucose and lipid metabolism, and other confounding factors were assayed. MCI patients, compared with HC, showed lower serum leptin, independent of sex, age, and body fat (P < 0.001). Glucose and lipid markers did not attenuate these results. Moreover, MCI patients exhibited poorer memory and lower volume and microstructural integrity within hippocampal subfields. While leptin and memory were not significantly correlated, mediation analyses indicated that lower leptin contributed to poorer memory through its negative effect on right hippocampus volume and left hippocampus microstructure. We demonstrated that MCI is associated with lower serum leptin independent of sex, age, body fat, glucose, and lipid metabolism. Our data further suggest that inefficient leptin signaling could partly contribute to decreases in memory performance through changes in hippocampus structure, a hypothesis that should now be verified in longitudinal studies. Hum Brain Mapp 37:4539-4549, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- A Veronica Witte
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,Max-Planck-Institute of Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany
| | - Theresa Köbe
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Anders Graunke
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Jan Philipp Schuchardt
- Department of Nutrition Physiology and Human Nutrition, Gottfried Wilhelm Leibniz University, Am Kleinen Felde 30, 30167, Hannover, Germany
| | - Andreas Hahn
- Department of Nutrition Physiology and Human Nutrition, Gottfried Wilhelm Leibniz University, Am Kleinen Felde 30, 30167, Hannover, Germany
| | - Valentina A Tesky
- Institute of General Practice, Goethe-University, Frankfurt Am Main, 60590, Germany
| | - Johannes Pantel
- Institute of General Practice, Goethe-University, Frankfurt Am Main, 60590, Germany
| | - Agnes Flöel
- Department of Neurology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,NeuroCure Cluster of Excellence, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.,Center for Stroke Research Berlin, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
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Yuce I, Kantarci M, Keles P, Yesilyurt H, Ogul H, Yuce H, Eren S. Diffusion tensor imaging of the hippocampus in chronic cigarette smokers. Eur J Radiol 2016; 85:1538-44. [PMID: 27501886 DOI: 10.1016/j.ejrad.2016.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Revised: 05/29/2016] [Accepted: 06/05/2016] [Indexed: 11/18/2022]
Abstract
PURPOSE Previous studies have demonstrated neuronal dis-integrity in chronic smokers using diffusion tensor imaging (DTI). However, assessment of hippocampal DTI has not been performed in this group. The purpose of this study was to investigate the hippocampal integrity in chronic smokers and non-smokers and to compare this to memory performance. METHODS We used in vivo DTI to measure the differences in hippocampal integrity between 88 chronic smoker and 88 non-smoking subjects. DTI was performed on a 3T scanner. We administered a verbal learning test to assess new verbal learning capabilities. The immediate recall (IR) was administered immediately after test procedure and delayed recall (DR) after 15min. RESULTS Mean values of fractional anisotropy (FA) for non-smokers and smokers were 0.46 and 0.40, respectively (p<0.05). Mean IR word number for non-smokers and smokers was 11.6, 9.04, respectively (p<0.05). The mean word number of DR for non-smokers and smokers was 10.2, 7.2, respectively (p<0.05). CONCLUSIONS This is the first study of hippocampal DTI assessment in the chronic smokers. We found that decreased hippocampal FA associated with neuronal dis-integrity and worse memory performance in chronic smokers than non-smokers. We also found a low positive correlation hippocampal FA values with memory performance in nonsmoking group.
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Affiliation(s)
- Ihsan Yuce
- Ataturk University, School of Medicine, Department of Radiology, Erzurum, Turkey.
| | - Mecit Kantarci
- Ataturk University, School of Medicine, Department of Radiology, Erzurum, Turkey
| | - Papatya Keles
- Ataturk University, School of Medicine, Department of Anatomy, Erzurum, Turkey
| | - Hakki Yesilyurt
- Ataturk University, School of Medicine, Department of Anatomy, Erzurum, Turkey
| | - Hayri Ogul
- Ataturk University, School of Medicine, Department of Radiology, Erzurum, Turkey
| | - Hatice Yuce
- Ataturk University, School of Medicine, Department of Psychiatry, Erzurum, Turkey
| | - Suat Eren
- Ataturk University, School of Medicine, Department of Radiology, Erzurum, Turkey
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Finke C, Kopp UA, Pajkert A, Behrens JR, Leypoldt F, Wuerfel JT, Ploner CJ, Prüss H, Paul F. Structural Hippocampal Damage Following Anti-N-Methyl-D-Aspartate Receptor Encephalitis. Biol Psychiatry 2016; 79:727-734. [PMID: 25866294 DOI: 10.1016/j.biopsych.2015.02.024] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2014] [Revised: 02/06/2015] [Accepted: 02/18/2015] [Indexed: 12/28/2022]
Abstract
BACKGROUND The majority of patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis suffer from persistent memory impairment despite unremarkable routine clinical magnetic resonance imaging. With improved acute care in these patients, neurocognitive impairment represents the major contributor to long-term morbidity and has thus become a focus of attention. METHODS Forty patients with anti-NMDAR encephalitis after the acute disease stage and 25 healthy control subjects underwent multimodal structural imaging that combined volumetry of hippocampal subfields with analysis of hippocampal microstructural integrity. Verbal and visuospatial memory performance was assessed in all patients and correlation and mediation analyses were performed to examine associations between hippocampal structural integrity, memory performance, and disease severity. RESULTS Hippocampal volumes were significantly reduced in patients and hippocampal subfield analysis revealed bilateral atrophy of the input and output regions of the hippocampal circuit. Microstructural integrity was impaired in both hippocampi in patients. Importantly, hippocampal volumetric and microstructural integrity measures correlated with memory performance and disease severity and duration. Mediation analysis revealed that hippocampal microstructure mediated the effect of disease severity on memory performance. CONCLUSIONS Data from this largest cohort of anti-NMDAR encephalitis patients that underwent extensive multimodal magnetic resonance imaging demonstrate that structural hippocampal damage and associated memory deficits are important long-term sequelae of the encephalitis. Correlation with disease duration and severity highlights the need for rapid diagnosis and adequate immunotherapy to prevent persistent damage to the hippocampus. Advanced imaging protocols may allow a more detailed analysis of structural damage to assess disease progression in clinical routine examinations and for therapy evaluation in prospective trials.
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Affiliation(s)
- Carsten Finke
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Berlin; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin.
| | - Ute A Kopp
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin
| | - Anna Pajkert
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin
| | - Janina R Behrens
- Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Berlin; Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin
| | - Frank Leypoldt
- Neuroimmunology Unit, Clinical Chemistry and Neurology, University Hospital Schleswig-Holstein, Kiel
| | - Jens T Wuerfel
- Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin; Institute of Neuroradiology, University Medicine Goettingen, Goettingen; Experimental and Clinical Research Center; Charité-Universitätsmedizin Berlin; Max Delbrueck Center for Molecular Medicine
| | | | - Harald Prüss
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin; German Center for Neurodegenerative Diseases
| | - Friedemann Paul
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin; Berlin Center for Advanced Neuroimaging, Charité-Universitätsmedizin Berlin, Berlin; Neurocure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin; Experimental and Clinical Research Center; Charité-Universitätsmedizin Berlin; Max Delbrueck Center for Molecular Medicine; Clinical and Experimental Multiple Sclerosis Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
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50
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Saury JM, Emanuelson I. Neuropsychological Assessment of Hippocampal Integrity. APPLIED NEUROPSYCHOLOGY-ADULT 2016; 24:140-151. [PMID: 27045585 DOI: 10.1080/23279095.2015.1113536] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Finding methods to describe subcortical processes assisting cognition is an important concern for clinical neuropsychological practice. In this study, we reviewed the literature concerning the relationship between a neuropsychological instrument and the underlying neural substructure. We examined evidence indicating that one of the oldest neuropsychological tests still in use, the Rey Auditory Verbal Learning Test (RAVLT), includes reliable indicators of hippocampal integrity. We reviewed studies investigating the neural structures underlying seven tasks generated by the RAVLT, from the perspective of whether the performance of these tasks is dependent on the hippocampus. We found support for our hypothesis in five cases: learning capacity, proactive interference, immediate recall, delayed recall, and delayed recognition. No support for our hypothesis was found with regard to short-term memory and retroactive interference. The RAVLT appears to be a reliable tool for assessing the integrity of the hippocampus and for the early detection of dysfunction. There is a need for such assessments, due to the crucial role of the hippocampus in cognition, for instance, in terms of predicting future outcomes.
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Affiliation(s)
- Jean-Michel Saury
- a Division of Rehabilitation Medicine, Department of Clinical Sciences, Karolinska Institutet , Danderyd University Hospital , Stockholm , Sweden
| | - Ingrid Emanuelson
- b Institution for Clinical Sciences, Department of Pediatrics , University of Gothenburg , Gothenburg , Sweden
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