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Oltmer J, Williams EM, Groha S, Rosenblum EW, Roy J, Llamas-Rodriguez J, Perosa V, Champion SN, Frosch MP, Augustinack JC. Neuron collinearity differentiates human hippocampal subregions: a validated deep learning approach. Brain Commun 2024; 6:fcae296. [PMID: 39262825 PMCID: PMC11389610 DOI: 10.1093/braincomms/fcae296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 06/28/2024] [Accepted: 08/30/2024] [Indexed: 09/13/2024] Open
Abstract
The hippocampus is heterogeneous in its architecture. It contributes to cognitive processes such as memory and spatial navigation and is susceptible to neurodegenerative disease. Cytoarchitectural features such as neuron size and neuronal collinearity have been used to parcellate the hippocampal subregions. Moreover, pyramidal neuron orientation (orientation of one individual neuron) and collinearity (how neurons align) have been investigated as a measure of disease in schizophrenia. However, a comprehensive quantitative study of pyramidal neuron orientation and collinearity within the hippocampal subregions has not yet been conducted. In this study, we present a high-throughput deep learning approach for the automated extraction of pyramidal neuron orientation in the hippocampal subregions. Based on the pretrained Cellpose algorithm for cellular segmentation, we measured 479 873 pyramidal neurons in 168 hippocampal partitions. We corrected the neuron orientation estimates to account for the curvature of the hippocampus and generated collinearity measures suitable for inter- and intra-individual comparisons. Our deep learning results were validated with manual orientation assessment. This study presents a quantitative metric of pyramidal neuron collinearity within the hippocampus. It reveals significant differences among the individual hippocampal subregions (P < 0.001), with cornu ammonis 3 being the most collinear, followed by cornu ammonis 2, cornu ammonis 1, the medial/uncal subregions and subiculum. Our data establishes pyramidal neuron collinearity as a quantitative parameter for hippocampal subregion segmentation, including the differentiation of cornu ammonis 2 and cornu ammonis 3. This novel deep learning approach could facilitate large-scale multicentric analyses in subregion parcellation and lays groundwork for the investigation of mental illnesses at the cellular level.
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Affiliation(s)
- Jan Oltmer
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Digital Health and Innovation, Vivantes Netzwerk für Gesundheit GmbH, 13407 Berlin, Germany
| | - Emily M Williams
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Stefan Groha
- Harvard Medical School, Boston, MA 02115, USA
- Division of Population Sciences, Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Emma W Rosenblum
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Jessica Roy
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Josue Llamas-Rodriguez
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Valentina Perosa
- J. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Samantha N Champion
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Matthew P Frosch
- C.S. Kubik Laboratory for Neuropathology, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Jean C Augustinack
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA 02129, USA
- Harvard Medical School, Boston, MA 02115, USA
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2
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Fenerci C, Setton R, Baracchini G, Snytte J, Spreng RN, Sheldon S. Lifespan differences in hippocampal subregion connectivity patterns during movie watching. Neurobiol Aging 2024; 141:182-193. [PMID: 38968875 DOI: 10.1016/j.neurobiolaging.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 05/17/2024] [Accepted: 06/22/2024] [Indexed: 07/07/2024]
Abstract
Age-related episodic memory decline is attributed to functional alternations in the hippocampus. Less clear is how aging affects the functional connections of the hippocampus to the rest of the brain during episodic memory processing. We examined fMRI data from the CamCAN dataset, in which a large cohort of participants watched a movie (N = 643; 18-88 years), a proxy for naturalistic episodic memory encoding. We examined connectivity profiles across the lifespan both within the hippocampus (anterior, posterior), and between the hippocampal subregions and cortical networks. Aging was associated with reductions in contralateral (left, right) but not ipsilateral (anterior, posterior) hippocampal subregion connectivity. Aging was primarily associated with increased coupling between the anterior hippocampus and regions affiliated with Control, Dorsal Attention and Default Mode networks, yet decreased coupling between the posterior hippocampus and a selection of these regions. Differences in age-related hippocampal-cortical, but not within-hippocampus circuitry selectively predicted worse memory performance. Our findings comprehensively characterize hippocampal functional topography in relation to cognition in older age, suggesting that shifts in cortico-hippocampal connectivity may be sensitive markers of age-related episodic memory decline.
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Affiliation(s)
- Can Fenerci
- Department of Psychology, McGill University, Montreal, QC, Canada.
| | - Roni Setton
- Department of Psychology, Harvard University, Cambridge, MA, USA
| | - Giulia Baracchini
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Jamie Snytte
- Department of Psychology, McGill University, Montreal, QC, Canada
| | - R Nathan Spreng
- Department of Psychology, McGill University, Montreal, QC, Canada; Department of Psychology, Harvard University, Cambridge, MA, USA; Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
| | - Signy Sheldon
- Department of Psychology, McGill University, Montreal, QC, Canada.
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Sultana OF, Bandaru M, Islam MA, Reddy PH. Unraveling the complexity of human brain: Structure, function in healthy and disease states. Ageing Res Rev 2024; 100:102414. [PMID: 39002647 PMCID: PMC11384519 DOI: 10.1016/j.arr.2024.102414] [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: 05/23/2024] [Revised: 06/29/2024] [Accepted: 07/05/2024] [Indexed: 07/15/2024]
Abstract
The human brain stands as an intricate organ, embodying a nexus of structure, function, development, and diversity. This review delves into the multifaceted landscape of the brain, spanning its anatomical intricacies, diverse functional capacities, dynamic developmental trajectories, and inherent variability across individuals. The dynamic process of brain development, from early embryonic stages to adulthood, highlights the nuanced changes that occur throughout the lifespan. The brain, a remarkably complex organ, is composed of various anatomical regions, each contributing uniquely to its overall functionality. Through an exploration of neuroanatomy, neurophysiology, and electrophysiology, this review elucidates how different brain structures interact to support a wide array of cognitive processes, sensory perception, motor control, and emotional regulation. Moreover, it addresses the impact of age, sex, and ethnic background on brain structure and function, and gender differences profoundly influence the onset, progression, and manifestation of brain disorders shaped by genetic, hormonal, environmental, and social factors. Delving into the complexities of the human brain, it investigates how variations in anatomical configuration correspond to diverse functional capacities across individuals. Furthermore, it examines the impact of neurodegenerative diseases on the structural and functional integrity of the brain. Specifically, our article explores the pathological processes underlying neurodegenerative diseases, such as Alzheimer's, Parkinson's, and Huntington's diseases, shedding light on the structural alterations and functional impairments that accompany these conditions. We will also explore the current research trends in neurodegenerative diseases and identify the existing gaps in the literature. Overall, this article deepens our understanding of the fundamental principles governing brain structure and function and paves the way for a deeper understanding of individual differences and tailored approaches in neuroscience and clinical practice-additionally, a comprehensive understanding of structural and functional changes that manifest in neurodegenerative diseases.
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Affiliation(s)
- Omme Fatema Sultana
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Madhuri Bandaru
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - Md Ariful Islam
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA
| | - P Hemachandra Reddy
- Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Nutritional Sciences Department, College of Human Sciences, Texas Tech University, Lubbock, TX 79409, USA; Department of Pharmacology and Neuroscience, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Neurology, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA 5. Department of Public Health, Graduate School of Biomedical Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA; Department of Speech, Language, and Hearing Sciences, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
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Long Y, Xie X, Wang Y, Xu J, Gao Z, Fang X, Xu T, Zhang N, Lv D, Wu T. Atrophy patterns in hippocampal subregions and their relationship with cognitive function in fibromyalgia patients with mild cognitive impairment. Front Neurosci 2024; 18:1380121. [PMID: 38846715 PMCID: PMC11153790 DOI: 10.3389/fnins.2024.1380121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/14/2024] [Indexed: 06/09/2024] Open
Abstract
Objectives Fibromyalgia (FM) has been associated with decreased hippocampal volume; however, the atrophy patterns of hippocampal subregions have not yet been identified. We therefore aimed to evaluate the volumes of hippocampal subregions in FM patients with mild cognitive impairment (MCI), and to explore the relationship between different subregional alterations and cognitive function. Methods The study included 35 FM patients (21 with MCI and 14 without MCI) and 35 healthy subjects. All subjects performed the Montreal Cognitive Assessment (MoCA) to assess cognitive function. FreeSurfer V.7.3.2 was used to calculate hippocampal subregion volumes. We then compared hippocampal subregion volumes between the groups, and analyzed the relationship between hippocampal subregion volume and cognitive function using a partial correlation analysis method. Results Compared with the healthy subjects, FM patients with MCI had smaller hippocampal volumes in the left and right CA1 head, Molecular layer head, GC-DG head, and CA4 head, and in the left Presubiculum head. Poorer executive function, naming ability, and attention were associated with left CA1 head and left Molecular layer head atrophy. By contrast, hippocampal subregion volumes in the FM patients without MCI were slightly larger than or similar to those in the healthy subjects, and were not significantly correlated with cognitive function. Conclusion Smaller volumes of left CA1 head and left Molecular layer head were associated with poorer executive function, naming ability, and attention in FM patients with MCI. However, these results were not observed in the FM patients without MCI. These findings suggest that the hippocampal subregions of FM patients might present compensatory mechanisms before cognitive decline occurs.
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Affiliation(s)
- Yingming Long
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xinyan Xie
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yingwei Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jinping Xu
- Shenzhen Institutes of Advanced Technology, Shenzhen, China
| | - Ziyi Gao
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xiaokun Fang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Tong Xu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Nan Zhang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Dongling Lv
- Department of Cardiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Ting Wu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
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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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Huang J, Cheng R, Liu X, Chen L, Luo T. Unraveling the link: white matter damage, gray matter atrophy and memory impairment in patients with subcortical ischemic vascular disease. Front Neurosci 2024; 18:1355207. [PMID: 38362024 PMCID: PMC10867202 DOI: 10.3389/fnins.2024.1355207] [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: 12/13/2023] [Accepted: 01/17/2024] [Indexed: 02/17/2024] Open
Abstract
Introduction Prior MRI studies have shown that patients with subcortical ischemic vascular disease (SIVD) exhibited white matter damage, gray matter atrophy and memory impairment, but the specific characteristics and interrelationships of these abnormal changes have not been fully elucidated. Materials and methods We collected the MRI data and memory scores from 29 SIVD patients with cognitive impairment (SIVD-CI), 29 SIVD patients with cognitive unimpaired (SIVD-CU) and 32 normal controls (NC). Subsequently, the thicknesses and volumes of the gray matter regions that are closely related to memory function were automatically assessed using FreeSurfer software. Then, the volume, fractional anisotropy (FA), mean diffusivity (MD), amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) values of white matter hyperintensity (WMH) region and normal-appearing white matter (NAWM) were obtained using SPM, DPARSF, and FSL software. Finally, the analysis of covariance, spearman correlation and mediation analysis were used to analyze data. Results Compared with NC group, patients in SIVD-CI and SIVD-CU groups showed significantly abnormal volume, FA, MD, ALFF, and ReHo values of WMH region and NAWM, as well as significantly decreased volume and thickness values of gray matter regions, mainly including thalamus, middle temporal gyrus and hippocampal subfields such as cornu ammonis (CA) 1. These abnormal changes were significantly correlated with decreased visual, auditory and working memory scores. Compared with the SIVD-CU group, the significant reductions of the left CA2/3, right amygdala, right parasubiculum and NAWM volumes and the significant increases of the MD values in the WMH region and NAWM were found in the SIVD-CI group. And the increased MD values were significantly related to working memory scores. Moreover, the decreased CA1 and thalamus volumes mediated the correlations between the abnormal microstructure indicators in WMH region and the decreased memory scores in the SIVD-CI group. Conclusion Patients with SIVD had structural and functional damages in both WMH and NAWM, along with specific gray matter atrophy, which were closely related to memory impairment, especially CA1 atrophy and thalamic atrophy. More importantly, the volumes of some temporomesial regions and the MD values of WMH regions and NAWM may be potentially helpful neuroimaging indicators for distinguishing between SIVD-CI and SIVD-CU patients.
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Affiliation(s)
- Jing Huang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Runtian Cheng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoshuang Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Li Chen
- Department of Radiology, The Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Tianyou Luo
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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7
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Perosa V, Zanon Zotin MC, Schoemaker D, Sveikata L, Etherton MR, Charidimou A, Greenberg SM, Viswanathan A. Association Between Hippocampal Volumes and Cognition in Cerebral Amyloid Angiopathy. Neurology 2024; 102:e207854. [PMID: 38165326 PMCID: PMC10870737 DOI: 10.1212/wnl.0000000000207854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 10/03/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Accumulating evidence suggests that gray matter atrophy, often considered a marker of Alzheimer disease (AD), can also result from cerebral small vessel disease (CSVD). Cerebral amyloid angiopathy (CAA) is a form of sporadic CSVD, diagnosed through neuroimaging criteria, that often co-occurs with AD pathology and leads to cognitive impairment. We sought to identify the role of hippocampal integrity in the development of cognitive impairment in a cohort of patients with possible and probable CAA. METHODS Patients were recruited from an ongoing CAA study at Massachusetts General Hospital. Composite scores defined performance in the cognitive domains of memory, language, executive function, and processing speed. Hippocampal subfields' volumes were measured from 3T MRI, using an automated method, and multivariate linear regression models were used to estimate their association with each cognitive domain and relationship to CAA-related neuroimaging markers. RESULTS One hundred twenty patients, 36 with possible (age mean [range]: 75.6 [65.6-88.9]), 67 with probable CAA (75.9 [59.0-94.0]), and 17 controls without cognitive impairment and CSVD (72.4 [62.5-82.7]; 76.4% female patients), were included in this study. We found a positive association between all investigated hippocampal subfields and memory and language, whereas specific subfields accounted for executive function (CA4 [Estimate = 5.43; 95% CI 1.26-9.61; p = 0.020], subiculum [Estimate = 2.85; 95% CI 0.67-5.02; p = 0.022]), and processing speed (subiculum [Estimate = 1.99; 95% CI 0.13-3.85; p = 0.036]). These findings were independent of other CAA-related markers, which did not have an influence on cognition in this cohort. Peak width of skeletonized mean diffusivity (PSMD), a measure of white matter integrity, was negatively associated with hippocampal subfields' volumes (CA3 [Estimate = -0.012; 95% CI -0.020 to -0.004; p = 0.034], CA4 [Estimate = -0.010; 95% CI -0.020 to -0.0007; p = 0.037], subiculum [Estimate = -0.019; 95% CI -0.042 to -0.0001; p = 0.003]). DISCUSSION These results suggest that hippocampal integrity is an independent contributor to cognitive impairment in patients with CAA and that it might be related to loss of integrity in the white matter. Further studies exploring potential causes and directionality of the relationship between white matter and hippocampal integrity may be warranted.
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Affiliation(s)
- Valentina Perosa
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Maria Clara Zanon Zotin
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Dorothee Schoemaker
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Lukas Sveikata
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Mark R Etherton
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Andreas Charidimou
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Steven M Greenberg
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Anand Viswanathan
- From the J Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston
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Malykhin N, Pietrasik W, Hoang KN, Huang Y. Contributions of hippocampal subfields and subregions to episodic memory performance in healthy cognitive aging. Neurobiol Aging 2024; 133:51-66. [PMID: 37913626 DOI: 10.1016/j.neurobiolaging.2023.10.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/01/2023] [Accepted: 10/17/2023] [Indexed: 11/03/2023]
Abstract
In the present study we investigated whether hippocampal subfield (cornu ammonis 1-3, dentate gyrus, and subiculum) and anteroposterior hippocampal subregion (head,body, and tail) volumes can predict episodic memory function using high-field high resolution structural magnetic resonance imaging (MRI). We recruited 126 healthy participants (18-85 years). MRI datasets were collected on a 4.7 T system. Participants were administered the Wechsler Memory Scale (WMS-IV) to evaluate episodic memory function. Structural equation modeling was used to test the relationship between studied variables. We found that the volume of the dentate gyrus subfield and posterior hippocampus (body) showed a significant direct effect on visuospatial memory performance; additionally, an indirect effect of age on visuospatial memory mediated through these hippocampal subfield/subregion was significant. Logical and verbal memory were not significantly associated with hippocampal subfield or subregion volumes.
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Affiliation(s)
- Nikolai Malykhin
- Department of Psychiatry, University of Alberta, Edmonton, Alberta, Canada; Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada.
| | - Wojciech Pietrasik
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Kim Ngan Hoang
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Yushan Huang
- Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta, Canada
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Xu HJ, Li XP, Han LY. Role and mechanism of esketamine in improving postoperative cognitive dysfunction in aged mice through the TLR4/MyD88/p38 MAPK pathway. Kaohsiung J Med Sci 2024; 40:63-73. [PMID: 38018683 DOI: 10.1002/kjm2.12778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 08/31/2023] [Accepted: 09/17/2023] [Indexed: 11/30/2023] Open
Abstract
Postoperative cognitive dysfunction (POCD) is a significant concern for the elderly population worldwide. This study explored the effects of esketamine on aged mice with POCD and investigate its mechanism of action involving the TLR4/MyD88/MAPK pathway. We administrated esketamine, along with lipopolysaccharide or anisomycin, to the aged POCD mouse models. We assessed their cognitive function using the Morris water maze test. Additionally, we evaluated histopathological changes/neuronal apoptosis in the mouse hippocampal CA1 area through HE/TUNEL stainings. Furthermore, we measured IL-1β/IL-6/TNF-α/TLR4/MyD88/MAPK (p-p38/p38) levels in mouse hippocampal tissues using ELISA/RT-qPCR/Western blotting. Lastly, we analyzed the interaction between TLR4 and MyD88 using a co-immunoprecipitation assay. Our findings showed that esketamine effectively mitigated POCD in aged mice. This was evident from the improved cognitive performance observed in the Morris water maze test, characterized by reduced escape latency/increased number of platform crossing/a higher percentage of time spent in the target quadrant. Furthermore, esketamine exhibited a protective effect against neuronal apoptosis and reduced the levels of inflammatory factors. These findings suggest that esketamine exerts an anti-inflammatory effect by downregulating TLR4/MyD88, thereby attenuating the inflammatory response associated with POCD. Additionally, esketamine suppressed the p38 MAPK pathway by inhibiting the TLR4/MyD88 signaling cascade. Esketamine demonstrated its efficacy in improving postoperative inflammation and cognitive impairment in aged mice by inhibiting the TLR4/MyD88 pathway. The activation of p38 MAPK signaling diminished the beneficial effects of esketamine in aged POCD mice. Collectively, the underlying mechanism of esketamine in mitigating POCD in aged mice involves the suppression of the TLR4/MyD88/p38 MAPK pathway.
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Affiliation(s)
- Hu-Jun Xu
- Department of Anesthesiology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xian-Peng Li
- Department of Anesthesiology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, China
| | - Li-Ye Han
- Department of Anesthesiology, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, China
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Zhang J, Xie L, Cheng C, Liu Y, Zhang X, Wang H, Hu J, Yu H, Xu J. Hippocampal subfield volumes in mild cognitive impairment and alzheimer's disease: a systematic review and meta-analysis. Brain Imaging Behav 2023; 17:778-793. [PMID: 37768441 DOI: 10.1007/s11682-023-00804-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/10/2023] [Indexed: 09/29/2023]
Abstract
The hippocampus is a complex structure that consists of several subfields with distinct and specialized functions. Although numerous studies have been performed to explore hippocampal atrophy at the sub-regional level in mild cognitive impairment (MCI) and Alzheimer's disease (AD), the results have been inconsistent especially for whether and which subfields can be served as the most potential biomarkers in MCI and AD. Herein, we used a meta-analytic approach to synthesize the extant literatures on hippocampal subfields in MCI and AD through PubMed, Web of Science, and Embase (PROSPERO CRD42021257586). As a result, a total of twenty studies using Freesurfer 5 and Freesurfer 6 were included in this investigation. These studies revealed that at the sub-regional level, hippocampal subfield volume reductions in MCI and AD were not restricted to specific subfields, and subiculum and presubiculum had the largest z-scores across most comparisons. However, none of the subfield performed much better in discriminating MCI and HC, AD and MCI, AD and HC as compared to whole hippocampus volume. These results suggested that we should explore the changes in the hippocampal subfields in subtypes of MCI or even at an earlier stage, that is subjective cognitive impairment.
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Affiliation(s)
- Jinhuan Zhang
- The fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China
| | - Linlin Xie
- The fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China
| | - Changjiang Cheng
- The fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China
| | - Yongfeng Liu
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China
| | - Xiaodong Zhang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Haoyu Wang
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China
| | - Jingting Hu
- College of Creative Design, Shenzhen Technology University, Shenzhen, China
| | - Haibo Yu
- The fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, 518033, China.
- Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China.
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
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11
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Homayouni R, Canada KL, Saifullah S, Foster DJ, Thill C, Raz N, Daugherty AM, Ofen N. Age-related differences in hippocampal subfield volumes across the human lifespan: A meta-analysis. Hippocampus 2023; 33:1292-1315. [PMID: 37881160 PMCID: PMC10841547 DOI: 10.1002/hipo.23582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 08/31/2023] [Accepted: 09/28/2023] [Indexed: 10/27/2023]
Abstract
The human hippocampus (Hc) is critical for memory function across the lifespan. It is comprised of cytoarchitectonically distinct subfields: dentate gyrus (DG), cornu ammonis sectors (CA) 1-4, and subiculum, each of which may be differentially susceptible to neurodevelopmental and neurodegenerative mechanisms. Identifying age-related differences in Hc subfield volumes can provide insights into neural mechanisms of memory function across the lifespan. Limited evidence suggests that DG and CA3 volumes differ across development while other regions remain relatively stable, and studies of adulthood implicate a downward trend in all subfield volumes with prominent age effects on CA1. Due to differences in methods and limited sampling for any single study, the magnitude of age effects on Hc subfield volumes and their probable lifespan trajectories remain unclear. Here, we conducted a meta-analysis on cross-sectional studies (n = 48,278 participants, ages = 4-94 years) to examine the association between age and Hc subfield volumes in development (n = 11 studies), adulthood (n = 30 studies), and a combined lifespan sample (n = 41 studies) while adjusting estimates for sample sizes. In development, age was positively associated with DG and CA3-4 volumes, whereas in adulthood a negative association was observed with all subfield volumes. Notably, the observed age effects were not different across subfield volumes within each age group. All subfield volumes showed a nonlinear age pattern across the lifespan with DG and CA3-4 volumes showing a more distinct age trajectory as compared to the other subfields. Lastly, among all the study-level variables, only female percentage of the study sample moderated the age effect on CA1 volume: a higher female-to-male ratio in the study sample was linked to the greater negative association between age and CA1 volume. These results document that Hc subfield volumes differ as a function of age offering broader implications for constructing theoretical models of lifespan memory development.
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Affiliation(s)
- Roya Homayouni
- Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
- Department of Psychology, Wayne State University, Detroit, Michigan, USA
| | - Kelsey L Canada
- Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
| | - Samaah Saifullah
- School of Medicine, Wayne State University, Detroit, Michigan, USA
| | - Da' Jonae Foster
- Department of Psychology, Wayne State University, Detroit, Michigan, USA
| | - Charlotte Thill
- School of Medicine, Wayne State University, Detroit, Michigan, USA
| | - Naftali Raz
- Department of Psychology, Stony Brook University, Stony Brook, New York, USA
- Max Planck Institute for Human Development, Berlin, Germany
| | - Ana M Daugherty
- Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
- Department of Psychology, Wayne State University, Detroit, Michigan, USA
| | - Noa Ofen
- Institute of Gerontology, Wayne State University, Detroit, Michigan, USA
- Department of Psychology, Wayne State University, Detroit, Michigan, USA
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12
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Tsalouchidou PE, Müller CJ, Belke M, Zahnert F, Menzler K, Trinka E, Knake S, Thomschewski A. Verbal memory depends on structural hippocampal subfield volume. Front Neurol 2023; 14:1209941. [PMID: 37900611 PMCID: PMC10613087 DOI: 10.3389/fneur.2023.1209941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 09/18/2023] [Indexed: 10/31/2023] Open
Abstract
Objective To investigate correlates in hippocampal subfield volume and verbal and visual memory function in patients with temporal lobe epilepsy (TLE), mild amnestic cognitive impairment (MCI) and heathy participants (HP). Methods 50 right-handed participants were included in this study; 11 patients with temporal lobe epilepsy (TLE), 18 patients with mild amnestic cognitive impairment (MCI) and 21 healthy participants (HP). Verbal memory performance was evaluated via the verbal memory test (VLMT) and visual memory performance via the diagnosticum for cerebral damage (DCM). Hippocampal subfield volumes of T1-weighted Magnetic Resonance Imaging (MRI) scans were computed with FreeSurfer version 7.1. Stepwise correlation analyses were performed between the left hippocampal subfield volumes and learning, free recall, consolidation and recognition performance scores of the VLMT as well as between right hippocampal subfield volumes and visual memory performance. Results The volume of the left subicular complex was highly correlated to learning performance (β = 0.284; p = 0.042) and free recall performance in the VLMT (β = 0.434; p = 0.001). The volume of the left CA3 subfield showed a significant correlation to the consolidation performance in the VLMT (β = 0.378; p = 0.006) and recognition performance in the VLMT (β = 0.290; p = 0.037). There was no significant correlation identified between the right hippocampal subfields and the visual memory performance. Conclusion The results of this study show verbal memory correlates with hippocampal subfields and support the role of left subiculum and left CA2/CA3 in verbal memory performance.
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Affiliation(s)
| | - Christina-Julia Müller
- Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Marcus Belke
- Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany
- Center for Personalized Translational Epilepsy Research (CePTER), Frankfurt, Germany
| | - Felix Zahnert
- Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Katja Menzler
- Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany
| | - Eugen Trinka
- Department of Neurology and Centre for Cognitive Neuroscience, Christian Doppler University Hospital, Paracelsus Medical University, Member of the European Reference Network EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
| | - Susanne Knake
- Epilepsy Center Hessen, Department of Neurology, Philipps University Marburg, Marburg, Germany
- Center for Personalized Translational Epilepsy Research (CePTER), Frankfurt, Germany
| | - Aljoscha Thomschewski
- Department of Neurology and Centre for Cognitive Neuroscience, Christian Doppler University Hospital, Paracelsus Medical University, Member of the European Reference Network EpiCARE, Salzburg, Austria
- Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University, Salzburg, Austria
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13
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Canada KL, Saifullah S, Gardner JC, Sutton BP, Fabiani M, Gratton G, Raz N, Daugherty AM. Development and validation of a quality control procedure for automatic segmentation of hippocampal subfields. Hippocampus 2023; 33:1048-1057. [PMID: 37246462 PMCID: PMC10524242 DOI: 10.1002/hipo.23552] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 05/03/2023] [Accepted: 05/13/2023] [Indexed: 05/30/2023]
Abstract
Automatic segmentation methods for in vivo magnetic resonance imaging are increasing in popularity because of their high efficiency and reproducibility. However, automatic methods can be perfectly reliable and consistently wrong, and the validity of automatic segmentation methods cannot be taken for granted. Quality control (QC) by trained and reliable human raters is necessary to ensure the validity of automatic measurements. Yet QC practices for applied neuroimaging research are underdeveloped. We report a detailed QC and correction procedure to accompany our validated atlas for hippocampal subfield segmentation. We document a two-step QC procedure for identifying segmentation errors, along with a taxonomy of errors and an error severity rating scale. This detailed procedure has high between-rater reliability for error identification and manual correction. The latter introduces at maximum 3% error variance in volume measurement. All procedures were cross-validated on an independent sample collected at a second site with different imaging parameters. The analysis of error frequency revealed no evidence of bias. An independent rater with a third sample replicated procedures with high within-rater reliability for error identification and correction. We provide recommendations for implementing the described method along with hypothesis testing strategies. In sum, we present a detailed QC procedure that is optimized for efficiency while prioritizing measurement validity and suits any automatic atlas.
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Affiliation(s)
| | | | - Jennie C. Gardner
- Department of Psychology, University of Illinois at
Urbana-Champaign, Urbana, IL
- Beckman Institute for Advanced Science and Technology,
University of Illinois at Urbana-Champaign, Champaign, IL
| | - Bradley P. Sutton
- Beckman Institute for Advanced Science and Technology,
University of Illinois at Urbana-Champaign, Champaign, IL
| | - Monica Fabiani
- Department of Psychology, University of Illinois at
Urbana-Champaign, Urbana, IL
- Beckman Institute for Advanced Science and Technology,
University of Illinois at Urbana-Champaign, Champaign, IL
| | - Gabriele Gratton
- Department of Psychology, University of Illinois at
Urbana-Champaign, Urbana, IL
- Beckman Institute for Advanced Science and Technology,
University of Illinois at Urbana-Champaign, Champaign, IL
| | - Naftali Raz
- Department of Psychology, Stony Brook University, Stony
Brook, NY
- Max Planck Institute for Human Development, Berlin,
Germany
| | - Ana M. Daugherty
- Institute of Gerontology, Wayne State University, Detroit,
MI
- Department of Psychology, Wayne State University, Detroit,
MI
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14
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AO YAWEN, LI YUSHUANG, ZHAO YILIN, ZHANG LIANG, YANG RENJIE, ZHA YUNFEI. Hippocampal Subfield Volumes in Amateur Marathon Runners. Med Sci Sports Exerc 2023; 55:1208-1217. [PMID: 36878015 PMCID: PMC10241426 DOI: 10.1249/mss.0000000000003144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
PURPOSE Numerous studies have implicated the involvement of structure and function of the hippocampus in physical exercise, and the larger hippocampal volume is one of the relevant benefits reported in exercise. It remains to be determined how the different subfields of hippocampus respond to physical exercise. METHODS A 3D T1-weighted magnetic resonance imaging was acquired in 73 amateur marathon runners (AMR) and 52 healthy controls (HC) matched with age, sex, and education. The Montreal Cognitive Assessment, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Scale were assessed in all participants. We obtained hippocampal subfield volumes using FreeSurfer 6.0. We compared the volumes of the hippocampal subfield between the two groups and ascertained correlation between the significant subfield metrics and the significant behavioral measure in AMR group. RESULTS The AMR had significantly better sleep than HC, manifested as with lower score of PSQI. Sleep duration in AMR and HC was not significantly different from each other. In the AMR group, the left and right hippocampus, cornu ammonis 1 (CA1), CA4, granule cell and molecular layers of the dentate gyrus, molecular layer, left CA2-3, and left hippocampal-amygdaloid transition area volumes were significantly larger compared with those in the HC group. In AMR group, the correlations between the PSQI and the hippocampal subfield volumes were not significant. No correlations were found between hippocampal subfield volumes and sleep duration in AMR group. CONCLUSIONS We reported larger volumes of specific hippocampal subfields in AMR, which may provide a hippocampal volumetric reserve that protects against age-related hippocampal deterioration. These findings should be further investigated in longitudinal studies.
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15
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Raschick M, Richter A, Fischer L, Knopf L, Schult A, Yakupov R, Behnisch G, Guttek K, Düzel E, Dunay IR, Seidenbecher CI, Schraven B, Reinhold D, Schott BH. Plasma concentrations of anti-inflammatory cytokine TGF-β are associated with hippocampal structure related to explicit memory performance in older adults. J Neural Transm (Vienna) 2023:10.1007/s00702-023-02638-1. [PMID: 37115329 PMCID: PMC10374779 DOI: 10.1007/s00702-023-02638-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/19/2023] [Indexed: 04/29/2023]
Abstract
Human cognitive abilities, and particularly hippocampus-dependent memory performance typically decline with increasing age. Immunosenescence, the age-related disintegration of the immune system, is increasingly coming into the focus of research as a considerable factor contributing to cognitive decline. In the present study, we investigated potential associations between plasma levels of pro- and anti-inflammatory cytokines and learning and memory performance as well as hippocampal anatomy in young and older adults. Plasma concentrations of the inflammation marker CRP as well as the pro-inflammatory cytokines IL-6 and TNF-α and the anti-inflammatory cytokine TGF-β1 were measured in 142 healthy adults (57 young, 24.47 ± 4.48 years; 85 older, 63.66 ± 7.32 years) who performed tests of explicit memory (Verbal Learning and Memory Test, VLMT; Wechsler Memory Scale, Logical Memory, WMS) with an additional delayed recall test after 24 h. Hippocampal volumetry and hippocampal subfield segmentation were performed using FreeSurfer, based on T1-weighted and high-resolution T2-weighted MR images. When investigating the relationship between memory performance, hippocampal structure, and plasma cytokine levels, we found that TGF-β1 concentrations were positively correlated with the volumes of the hippocampal CA4-dentate gyrus region in older adults. These volumes were in turn positively associated with better performance in the WMS, particularly in the delayed memory test. Our results support the notion that endogenous anti-inflammatory mechanisms may act as protective factors in neurocognitive aging.
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Affiliation(s)
- Matthias Raschick
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Anni Richter
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Larissa Fischer
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Lea Knopf
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Annika Schult
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Renat Yakupov
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Gusalija Behnisch
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
| | - Karina Guttek
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Emrah Düzel
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Ildiko Rita Dunay
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
- Institute for Inflammation and Neurodegeneration, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Constanze I Seidenbecher
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany
- Center for Intervention and Research on Adaptive and Maladaptive Brain Circuits Underlying Mental Health (C-I-R-C), Jena-Magdeburg-Halle, Germany
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Burkhart Schraven
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Health and Medical Prevention (CHaMP), Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Dirk Reinhold
- Institute of Molecular and Clinical Immunology, Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Health Campus Immunology, Infectiology and Inflammation (GC-I3), Medical Faculty, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
- Center for Health and Medical Prevention (CHaMP), Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Björn H Schott
- Leibniz Institute for Neurobiology, Brenneckestr. 6, 39118, Magdeburg, Germany.
- Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany.
- Department of Psychiatry and Psychotherapy, University Medical Center, Göttingen, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Göttingen, Germany.
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16
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Oltmer J, Rosenblum EW, Williams EM, Roy J, Llamas-Rodriguez J, Perosa V, Champion SN, Frosch MP, Augustinack JC. Stereology neuron counts correlate with deep learning estimates in the human hippocampal subregions. Sci Rep 2023; 13:5884. [PMID: 37041300 PMCID: PMC10090178 DOI: 10.1038/s41598-023-32903-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/04/2023] [Indexed: 04/13/2023] Open
Abstract
Hippocampal subregions differ in specialization and vulnerability to cell death. Neuron death and hippocampal atrophy have been a marker for the progression of Alzheimer's disease. Relatively few studies have examined neuronal loss in the human brain using stereology. We characterize an automated high-throughput deep learning pipeline to segment hippocampal pyramidal neurons, generate pyramidal neuron estimates within the human hippocampal subfields, and relate our results to stereology neuron counts. Based on seven cases and 168 partitions, we vet deep learning parameters to segment hippocampal pyramidal neurons from the background using the open-source CellPose algorithm, and show the automated removal of false-positive segmentations. There was no difference in Dice scores between neurons segmented by the deep learning pipeline and manual segmentations (Independent Samples t-Test: t(28) = 0.33, p = 0.742). Deep-learning neuron estimates strongly correlate with manual stereological counts per subregion (Spearman's correlation (n = 9): r(7) = 0.97, p < 0.001), and for each partition individually (Spearman's correlation (n = 168): r(166) = 0.90, p <0 .001). The high-throughput deep-learning pipeline provides validation to existing standards. This deep learning approach may benefit future studies in tracking baseline and resilient healthy aging to the earliest disease progression.
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Affiliation(s)
- Jan Oltmer
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Emma W Rosenblum
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Emily M Williams
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Jessica Roy
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Josué Llamas-Rodriguez
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA
| | - Valentina Perosa
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Cambridge Str. 175, Suite 300, Boston, MA, 02114, USA
- Department of Neurology, Otto-Von-Guericke University, Magdeburg, Germany
| | - Samantha N Champion
- Department of Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | - Matthew P Frosch
- Department of Neuropathology, Massachusetts General Hospital, Boston, MA, USA
| | - Jean C Augustinack
- Department of Radiology, Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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17
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Liu M, Han T, Wu Y, Cheng J, Zhang L, Zhang B, Zuo XN, Zhu W, Qiu S, Geng Z, Zhang X, Cui G, Zhang Q, Yu Y, Zhang H, Gao B, Xu X, Yao Z, Qin W, Liang M, Liu F, Guo L, Xu Q, Fu J, Xu J, Tang J, Liu N, Xue K, Zhang P, Li W, Shi D, Wang C, Gao JH, Lui S, Yan Z, Chen F, Li J, Zhang J, Shen W, Miao Y, Xian J, Yu L, Xu K, Wang M, Ye Z, Liao WH, Wang D, Yu C. The impact of pre-adulthood urbanicity on hippocampal subfield volumes and neurocognitive abilities in young adults. ENVIRONMENT INTERNATIONAL 2023; 174:107905. [PMID: 37019025 DOI: 10.1016/j.envint.2023.107905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 03/14/2023] [Accepted: 03/27/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Urbanicity refers to the conditions that are particular to urban areas and is a growing environmental challenge that may affect hippocampus and neurocognition. This study aimed to investigate the effects of the average pre-adulthood urbanicity on hippocampal subfield volumes and neurocognitive abilities as well as the sensitive age windows of the urbanicity effects. PARTICIPANTS AND METHODS We included 5,390 CHIMGEN participants (3,538 females; age: 23.69 ± 2.26 years, range: 18-30 years). Pre-adulthood urbanicity of each participant was defined as the average value of annual night-time light (NL) or built-up% from age 0-18, which were extracted from remote-sensing satellite data based on annual residential coordinates of the participants. The hippocampal subfield volumes were calculated based on structural MRI and eight neurocognitive measures were assessed. The linear regression was applied to investigate the associations of pre-adulthood NL with hippocampal subfield volumes and neurocognitive abilities, mediation models were used to find the underlying pathways among urbanicity, hippocampus and neurocognition, and distributed lag models were used to identify sensitive age windows of urbanicity effect. RESULTS Higher pre-adulthood NL was associated with greater volumes in the left (β = 0.100, 95%CI: [0.075, 0.125]) and right (0.078, [0.052, 0.103]) fimbria and left subiculum body (0.045, [0.020, 0.070]) and better neurocognitive abilities in information processing speed (-0.212, [-0.240, -0.183]), working memory (0.085, [0.057, 0.114]), episodic memory (0.107, [0.080, 0.135]), and immediate (0.094, [0.065, 0.123]) and delayed (0.087, [0.058, 0.116]) visuospatial recall, and hippocampal subfield volumes and visuospatial memory showed bilateral mediations for the urbanicity effects. Urbanicity effects were greatest on the fimbria in preschool and adolescence, on visuospatial memory and information processing from childhood to adolescence and on working memory after 14 years. CONCLUSION These findings improve our understanding of the impact of urbanicity on hippocampus and neurocognitive abilities and will benefit for designing more targeted intervention for neurocognitive improvement.
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Affiliation(s)
- Mengge Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Tong Han
- Department of Radiology, Tianjin Huanhu Hospital, 300350 Tianjin, China
| | - Yue Wu
- Department of Radiology, Huashan Hospital, Fudan University, 200040 Shanghai, China
| | - Jingliang Cheng
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, 450052 Zhengzhou, China
| | - Longjiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 210002 Nanjing, China
| | - Bing Zhang
- Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, 210008 Nanjing, China
| | - Xi-Nian Zuo
- IDG/McGovern Institute for Brain Research, Beijing Normal University, 100875 Beijing, China; Institute of Psychology, Chinese Academy of Sciences, 100101 Beijing, China
| | - Wenzhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China
| | - Shijun Qiu
- Department of Medical Imaging, the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, 510405 Guangzhou, China
| | - Zuojun Geng
- Department of Medical Imaging, The Second Hospital of Hebei Medical University, 050000 Shijiazhuang, China
| | - Xiaochu Zhang
- Division of Life Science and Medicine, University of Science & Technology of China, 230027 Hefei, China
| | - Guangbin Cui
- Functional and Molecular Imaging Key Lab of Shaanxi Province & Department of Radiology, Tangdu Hospital, Air Force Medical University, 710038 Xi'an, China
| | - Quan Zhang
- Department of Radiology, Characteristic Medical Center of Chinese People's Armed Police Force, 300162 Tianjin, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, 230022 Hefei, China
| | - Hui Zhang
- Department of Radiology, The First Hospital of Shanxi Medical University, 030001 Taiyuan, China
| | - Bo Gao
- Department of Radiology, The Affiliated Hospital of Guizhou Medical University, 550004 Guiyang, China; Department of Radiology, Yantai Yuhuangding Hospital, 264000 Yantai, China
| | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital of Zhejiang University, School of Medicine, 310009 Hangzhou, China
| | - Zhenwei Yao
- Department of Radiology, Huashan Hospital, Fudan University, 200040 Shanghai, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Meng Liang
- School of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, 300203 Tianjin, China
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Lining Guo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Jilian Fu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Jie Tang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Nana Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Kaizhong Xue
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China
| | - Peng Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, 300060 Tianjin, China
| | - Wei Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, 300060 Tianjin, China
| | - Dapeng Shi
- Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 450003 Zhengzhou, China
| | - Caihong Wang
- Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, 450052 Zhengzhou, China
| | - Jia-Hong Gao
- Center for MRI Research, Academy for Advanced Interdisciplinary Studies, Peking University, 100871 Beijing, China
| | - Su Lui
- Department of Radiology, the Center for Medical Imaging, West China Hospital of Sichuan University, 610041 Chengdu, China
| | - Zhihan Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, 325027 Wenzhou, China
| | - Feng Chen
- Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), 570311 Haikou, China
| | - Jiance Li
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, 325000 Wenzhou, China
| | - Jing Zhang
- Department of Magnetic Resonance, Lanzhou University Second Hospital, 730030 Lanzhou, China; Gansu Province Clinical Research Center for Functional and Molecular Imaging, 730030 Lanzhou, China
| | - Wen Shen
- Department of Radiology, Tianjin First Center Hospital, 300192 Tianjin, China
| | - Yanwei Miao
- Department of Radiology, The First Affiliated Hospital of Dalian Medical University, 116011 Dalian, China
| | - Junfang Xian
- Department of Radiology, Beijing Tongren Hospital, Capital Medical University, 100730 Beijing, China
| | - Le Yu
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China
| | - Kai Xu
- Department of Radiology, The Affiliated Hospital of Xuzhou Medical University, 221006 Xuzhou, China
| | - Meiyun Wang
- Department of Radiology, Henan Provincial People's Hospital & Zhengzhou University People's Hospital, 450003 Zhengzhou, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, 300060 Tianjin, China
| | - Wei-Hua Liao
- Department of Radiology, Xiangya Hospital, Central South University, 410008 Changsha, China; Molecular Imaging Research Center of Central South University, 410008 Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, 410008 Changsha, China.
| | - Dawei Wang
- Department of Radiology, Qilu Hospital of Shandong University, 250012 Jinan, China.
| | - Chunshui Yu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, 300052 Tianjin, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, 200031 Shanghai, China.
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18
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Cooper CP, Shafer AT, Armstrong NM, An Y, Erus G, Davatzikos C, Ferrucci L, Rapp PR, Resnick SM. Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory. Neuroimage 2023; 272:120048. [PMID: 36958620 DOI: 10.1016/j.neuroimage.2023.120048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 03/17/2023] [Accepted: 03/20/2023] [Indexed: 03/25/2023] Open
Abstract
The cerebellum is involved in higher-order cognitive functions, e.g., learning and memory, and is susceptible to age-related atrophy. Yet, the cerebellum's role in age-related cognitive decline remains largely unknown. We investigated cross-sectional and longitudinal associations between cerebellar volume and verbal learning and memory. Linear mixed effects models and partial correlations were used to examine the relationship between changes in cerebellum volumes (total cerebellum, cerebellum white matter [WM], cerebellum hemisphere gray matter [GM], and cerebellum vermis subregions) and changes in verbal learning and memory performance among 549 Baltimore Longitudinal Study of Aging participants (2,292 visits). All models were adjusted by baseline demographic characteristics (age, sex, race, education), and APOE e4 carrier status. In examining associations between change with change, we tested an additional model that included either hippocampal (HC), cuneus, or postcentral gyrus (PoCG) volumes to assess whether cerebellar volumes were uniquely associated with verbal learning and memory. Cross-sectionally, the association of baseline cerebellum GM and WM with baseline verbal learning and memory was age-dependent, with the oldest individuals showing the strongest association between volume and performance. Baseline volume was not significantly associated with change in learning and memory. However, analysis of associations between change in volumes and changes in verbal learning and memory showed that greater declines in verbal memory were associated with greater volume loss in cerebellum white matter, and preserved GM volume in cerebellum vermis lobules VI-VII. The association between decline in verbal memory and decline in cerebellar WM volume remained after adjustment for HC, cuneus, and PoCG volume. Our findings highlight that associations between cerebellum volume and verbal learning and memory are age-dependent and regionally specific.
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Affiliation(s)
- C'iana P Cooper
- Neurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Andrea T Shafer
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Nicole M Armstrong
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland; Department of Psychiatry and Human Behavior, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Yang An
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Guray Erus
- Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christos Davatzikos
- Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Luigi Ferrucci
- Translational Gerontology Branch, Longitudinal Studies Section, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Peter R Rapp
- Neurocognitive Aging Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland
| | - Susan M Resnick
- Brain Aging and Behavior Section, Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, Maryland.
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19
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Xu J, Guan X, Wen J, Zhang M, Xu X. Polygenic hazard score modified the relationship between hippocampal subfield atrophy and episodic memory in older adults. Front Aging Neurosci 2022; 14:943702. [PMID: 36389062 PMCID: PMC9659745 DOI: 10.3389/fnagi.2022.943702] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 09/30/2022] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND Understanding genetic influences on Alzheimer's disease (AD) may improve early identification. Polygenic hazard score (PHS) is associated with the age of AD onset and cognitive decline. It interacts with other risk factors, but the nature of such combined effects remains poorly understood. MATERIALS AND METHODS We examined the effect of genetic risk and hippocampal atrophy pattern on episodic memory in a sample of older adults ranging from cognitively normal to those diagnosed with AD using structural MRI. Participants included 51 memory unimpaired normal control (NC), 69 mild cognitive impairment (MCI), and 43 AD adults enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI). Hierarchical linear regression analyses examined the main and interaction effects of hippocampal subfield volumes and PHS, indicating genetic risk for AD, on a validated episodic memory composite score. Diagnosis-stratified models further assessed the role of PHS. RESULTS Polygenic hazard score moderated the relationship between right fimbria/hippocampus volume ratio and episodic memory, such that patients with high PHS and lower volume ratio had lower episodic memory composite scores [ΔF = 6.730, p = 0.011, ΔR 2 = 0.059]. This effect was also found among individuals with MCI [ΔF = 4.519, p = 0.038, ΔR 2 = 0.050]. In contrast, no interaction effects were present for those NC or AD individuals. A follow-up mediation analysis also indicated that the right fimbria/hippocampus volume ratio might mediate the link between PHS and episodic memory performance in the MCI group, whereas no mediation effects were present for those NC or AD individuals. CONCLUSION These findings suggest that the interaction between AD genetic risk and hippocampal subfield volume ratio increases memory impairment among older adults. Also, the results highlighted a potential pathway in which genetic risk affects memory by degrading hippocampal subfield volume ratio in cognitive decline subjects.
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Affiliation(s)
| | | | | | | | - Xiaojun Xu
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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20
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Delgorio PL, Hiscox LV, Daugherty AM, Sanjana F, McIlvain G, Pohlig RT, McGarry MDJ, Martens CR, Schwarb H, Johnson CL. Structure-Function Dissociations of Human Hippocampal Subfield Stiffness and Memory Performance. J Neurosci 2022; 42:7957-7968. [PMID: 36261271 PMCID: PMC9617610 DOI: 10.1523/jneurosci.0592-22.2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 08/16/2022] [Accepted: 08/18/2022] [Indexed: 11/21/2022] Open
Abstract
Aging and neurodegenerative diseases lead to decline in thinking and memory ability. The subfields of the hippocampus (HCsf) play important roles in memory formation and recall. Imaging techniques sensitive to the underlying HCsf tissue microstructure can reveal unique structure-function associations and their vulnerability in aging and disease. The goal of this study was to use magnetic resonance elastography (MRE), a noninvasive MR imaging-based technique that can quantitatively image the viscoelastic mechanical properties of tissue to determine the associations of HCsf stiffness with different cognitive domains across the lifespan. Eighty-eight adult participants completed the study (age 23-81 years, male/female 36/51), in which we aimed to determine which HCsf regions most strongly correlated with different memory performance outcomes and if viscoelasticity of specific HCsf regions mediated the relationship between age and performance. Our results revealed that both interference cost on a verbal memory task and relational memory task performance were significantly related to cornu ammonis 1-2 (CA1-CA2) stiffness (p = 0.018 and p = 0.011, respectively), with CA1-CA2 stiffness significantly mediating the relationship between age and interference cost performance (p = 0.031). There were also significant associations between delayed free verbal recall performance and stiffness of both the dentate gyrus-cornu ammonis 3 (DG-CA3; p = 0.016) and subiculum (SUB; p = 0.032) regions. This further exemplifies the functional specialization of HCsf in declarative memory and the potential use of MRE measures as clinical biomarkers in assessing brain health in aging and disease.SIGNIFICANCE STATEMENT Hippocampal subfields are cytoarchitecturally unique structures involved in distinct aspects of memory processing. Magnetic resonance elastography is a technique that can noninvasively image tissue viscoelastic mechanical properties, potentially serving as sensitive biomarkers of aging and neurodegeneration related to functional outcomes. High-resolution in vivo imaging has invigorated interest in determining subfield functional specialization and their differential vulnerability in aging and disease. Applying MRE to probe subfield-specific cognitive correlates will indicate that measures of subfield stiffness can determine the integrity of structures supporting specific domains of memory performance. These findings will further validate our high-resolution MRE method and support the potential use of subfield stiffness measures as clinical biomarkers in classifying aging and disease states.
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Affiliation(s)
- Peyton L Delgorio
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716
| | - Lucy V Hiscox
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716
| | - Ana M Daugherty
- Department of Psychology and Institute of Gerontology, Wayne State University, Detroit, Michigan 48202
| | - Faria Sanjana
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware 19713
| | - Grace McIlvain
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716
| | - Ryan T Pohlig
- Biostatistics Core Facility, College of Health Sciences, University of Delaware, Newark, Delaware 19713
| | - Matthew D J McGarry
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755
| | - Christopher R Martens
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, Delaware 19713
| | - Hillary Schwarb
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801
| | - Curtis L Johnson
- Department of Biomedical Engineering, University of Delaware, Newark, Delaware 19716
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21
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Mukaino T, Uehara T, Yokohama J, Okadome T, Arakawa T, Yokoyama S, Sakata A, Takase KI, Togao O, Akamatsu N, Shigeto H, Isobe N, Kira JI. Atrophy of the hippocampal CA1 subfield relates to long-term forgetting in focal epilepsy. Epilepsia 2022; 63:2623-2636. [PMID: 35892321 DOI: 10.1111/epi.17378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/25/2022] [Accepted: 07/25/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The mechanisms underlying accelerated long-term forgetting (ALF) in patients with epilepsy are still under investigation. We examined the contribution of hippocampal subfields and their morphology to long-term memory performance in patients with focal epilepsy. METHODS We prospectively assessed long-term memory and performed magnetic resonance imaging in 80 patients with focal epilepsy (61 with temporal lobe epilepsy and 19 with extratemporal lobe epilepsy) and 30 healthy controls. The patients also underwent electroencephalography recording. Verbal and visuospatial memory was tested 30 seconds, 10 minutes, and 1 week after learning. We assessed the volumes of the whole hippocampus and seven subfields and deformation of the hippocampal shape. The contributions of the hippocampal volumes and shape deformation to long-term forgetting, controlling for confounding factors, including the presence of interictal epileptiform discharges, were assessed by multiple regression analyses. RESULTS Patients with focal epilepsy had lower intelligence quotients and route recall scores at 10 minutes than controls. The focal epilepsy group had smaller volumes of both the right and left hippocampal tails than the control group, but there were no significant group differences for the volumes of the whole hippocampus or other hippocampal subfields. Multiple regression analyses showed a significant association between the left CA1 volume and the 1-week story retention (β = 7.76; Bonferroni-corrected P = 0.044), but this was not found for the whole hippocampus or other subfield volumes. Hippocampal shape analyses revealed that atrophy of the superior-lateral, superior-central, and inferior-medial regions of the left hippocampus, corresponding to CA1 and CA2/3, was associated with the verbal retention rate. SIGNIFICANCE Our results suggest that atrophy of the hippocampal CA1 region and its associated structures disrupts long-term memory consolidation in focal epilepsy. Neuronal cell loss in specific hippocampal subfields could be a key underlying cause of ALF in patients with epilepsy.
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Affiliation(s)
- Takahiko Mukaino
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Taira Uehara
- Department of Neurology, School of Medicine, International University of Health and Welfare, Narita, Japan
| | - Jun Yokohama
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiki Okadome
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Tomomi Arakawa
- Department of Rehabilitation Medicine, Kyushu University Hospital, Fukuoka, Japan
| | | | - Ayumi Sakata
- Department of Clinical Chemistry and Laboratory Medicine, Kyushu University Hospital, Fukuoka, Japan
| | | | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoki Akamatsu
- Department of Neurology, School of Medicine, International University of Health and Welfare, Narita, Japan.,Sleep and Epilepsy Disorders Center, Fukuoka, Fukuoka, Japan
| | - Hiroshi Shigeto
- Division of Medical Technology, Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Translational Neuroscience Center, Graduate School of Medicine, and School of Pharmacy at Fukuoka, International University of Health and Welfare, Okawa, Japan.,Department of Neurology, Brain and Nerve Center, Fukuoka Central Hospital, International University of Health and Welfare, Fukuoka, Japan
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22
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Tallman CW, Clark RE, Smith CN. A way forward for design and analysis of neuroimaging studies of memory consolidation. Cogn Neurosci 2022; 13:158-164. [PMID: 36112016 PMCID: PMC9673460 DOI: 10.1080/17588928.2022.2121274] [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: 08/26/2022] [Indexed: 11/03/2022]
Abstract
Several novel ideas and suggestions were made in response to our discussion paper (Tallman et al., this issue). Careful consideration of the content and context of memory while accounting for the neuroanatomy and functional specialization of the hippocampus may reveal more consistent patterns in fMRI studies of memory consolidation. Below we address these ideas as well as issues that arise when interpreting the fMRI signal in memory consolidation studies. In addition, we describe new analyses suggested by the commentators that clarify our findings with respect to current theories.
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Affiliation(s)
- Catherine W. Tallman
- Department of Psychology, UCSD, San Diego, CA, USA
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
| | - Robert E. Clark
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Center for the Neurobiology of Learning and Memory, UCI, Irvine, CA, USA
| | - Christine N. Smith
- Veterans Affairs San Diego Healthcare System, Research Service, San Diego, CA, USA
- Department of Psychiatry, UCSD, San Diego, CA, USA
- Center for the Neurobiology of Learning and Memory, UCI, Irvine, CA, USA
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23
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Li G, Chen MH, Li G, Wu D, Lian C, Sun Q, Rushmore RJ, Wang L. Volumetric Analysis of Amygdala and Hippocampal Subfields for Infants with Autism. J Autism Dev Disord 2022; 53:2475-2489. [PMID: 35389185 DOI: 10.1007/s10803-022-05535-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2022] [Indexed: 10/18/2022]
Abstract
Previous studies have demonstrated abnormal brain overgrowth in children with autism spectrum disorder (ASD), but the development of specific brain regions, such as the amygdala and hippocampal subfields in infants, is incompletely documented. To address this issue, we performed the first MRI study of amygdala and hippocampal subfields in infants from 6 to 24 months of age using a longitudinal dataset. A novel deep learning approach, Dilated-Dense U-Net, was proposed to address the challenge of low tissue contrast and small structural size of these subfields. We performed a volume-based analysis on the segmentation results. Our results show that infants who were later diagnosed with ASD had larger left and right volumes of amygdala and hippocampal subfields than typically developing controls.
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Affiliation(s)
- Guannan Li
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.,Department of Radiology and Biomedical Research Imaging Center, Bioinformatics Building, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599, USA
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, Bioinformatics Building, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599, USA
| | - Di Wu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Chunfeng Lian
- Department of Radiology and Biomedical Research Imaging Center, Bioinformatics Building, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599, USA
| | - Quansen Sun
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
| | - R Jarrett Rushmore
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.,Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA.,Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, Bioinformatics Building, University of North Carolina at Chapel Hill, 130 Mason Farm Rd, Chapel Hill, NC, 27599, USA.
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24
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de Lucia C, Murphy T, Maruszak A, Wright P, Powell TR, Hartopp N, de Jong S, O'Sullivan MJ, Breen G, Price J, Lovestone S, Thuret S. Serum from Older Adults Increases Apoptosis and Molecular Aging Markers in Human Hippocampal Progenitor Cells. Aging Dis 2021; 12:2151-2172. [PMID: 34881092 PMCID: PMC8612606 DOI: 10.14336/ad.2021.0409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 04/09/2021] [Indexed: 12/12/2022] Open
Abstract
Age-related alteration in neural stem cell function is linked to neurodegenerative conditions and cognitive decline. In rodents, this can be reversed by exposure to a young systemic milieu and conversely, the old milieu can inhibit stem cell function in young rodents. In this study, we investigated the in vitro effect of the human systemic milieu on human hippocampal progenitor cells (HPCs) using human serum from early adulthood, mid-life and older age. We showed that neuroblast number following serum treatment is predictive of larger dentate gyrus, CA3, CA4 and whole hippocampus volumes and that allogeneic human serum from asymptomatic older individuals induced a two-fold increase in apoptotic cell death of HPCs compared with serum from young adults. General linear models revealed that variability in markers of proliferation and differentiation was partly attributable to use of antihypertensive medication and very mild cognitive decline among older subjects. Finally, using an endophenotype approach and whole-genome expression arrays, we showed upregulation of established and novel ageing molecular hallmarks in response to old serum. Serum from older subjects induced a wide range of cellular and molecular phenotypes, likely reflecting a lifetime of environmental exposures. Our findings support a role for the systemic enviroment in neural stem cell maintenance and are in line with others highlighting a distinction between neurobiological and chronological ageing. Finally, the herein described serum assay can be used by future studies to further analyse the effect of environmental exposures as well as to determine the role of the systemic environment in health and disease.
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Affiliation(s)
- Chiara de Lucia
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Tytus Murphy
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Aleksandra Maruszak
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Paul Wright
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Timothy R Powell
- 2Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Naomi Hartopp
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Simone de Jong
- 2Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Michael J O'Sullivan
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- 3UQ Centre for Clinical Research, University of Queensland, Brisbane, Queensland, Australia
| | - Gerome Breen
- 2Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Jack Price
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Sandrine Thuret
- 1Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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25
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Schaeffer E, Roeben B, Granert O, Hanert A, Liepelt-Scarfone I, Leks E, Otterbein S, Saraykin P, Busch JH, Synofzik M, Stransky E, Bartsch T, Berg D. Effects of exergaming on hippocampal volume and brain-derived neurotrophic factor levels in Parkinson's disease. Eur J Neurol 2021; 29:441-449. [PMID: 34724287 DOI: 10.1111/ene.15165] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 10/17/2021] [Accepted: 10/27/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND OBJECTIVE Cognitive impairment is among the most burdensome non-motor symptoms in Parkinson's disease (PD) and has been associated with hippocampal atrophy. Exercise has been reported to enhance neuroplasticity in the hippocampus in correlation with an improvement of cognitive function. We present data from the Training-PD study, which was designed to evaluate effects of an "" training protocol on neuronal plasticity in PD. METHODS We initiated a 6-week exergaming training program, combining visually stimulating computer games with physical exercise in 17 PD patients and 18 matched healthy controls. Volumetric segmentation of hippocampal subfields on T1- and T2-weighted magnetic resonance imaging and brain-derived neurotrophic factor (BDNF) serum levels were analyzed before and after the training protocol. RESULTS The PD group showed a group-dependent significant volume increase of the left hippocampal subfields CA1, CA4/dentate gyrus (DG) and subiculum after the 6-week training protocol. The effect was most pronounced in the left DG of PD patients, who showed a significantly smaller percentage volume compared to healthy controls at baseline, but not at follow-up. Both groups had a significant increase in serum BDNF levels after training. CONCLUSIONS The results of the present study indicate that exergaming might be a suitable approach to induce hippocampal volume changes in PD patients. Further and larger studies are needed to verify our findings.
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Affiliation(s)
- Eva Schaeffer
- Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany
| | - Benjamin Roeben
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Oliver Granert
- Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany
| | - Annika Hanert
- Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany
| | - Inga Liepelt-Scarfone
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.,IB Hochschule, Studienzentrum Stuttgart, Stuttgart, Germany
| | - Edyta Leks
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Sascha Otterbein
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Pavel Saraykin
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Jan-Hinrich Busch
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Matthis Synofzik
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.,German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - Elke Stransky
- Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
| | - Thorsten Bartsch
- Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany
| | - Daniela Berg
- Department of Neurology, Christian-Albrecht-University Kiel, Kiel, Germany.,Department of Neurodegeneration and Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany
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26
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Cremona S, Zago L, Mellet E, Petit L, Laurent A, Pepe A, Tsuchida A, Beguedou N, Joliot M, Tzourio C, Mazoyer B, Crivello F. Novel characterization of the relationship between verbal list-learning outcomes and hippocampal subfields in healthy adults. Hum Brain Mapp 2021; 42:5264-5277. [PMID: 34453474 PMCID: PMC8519870 DOI: 10.1002/hbm.25614] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/29/2021] [Accepted: 07/20/2021] [Indexed: 11/10/2022] Open
Abstract
The relationship between hippocampal subfield volumetry and verbal list‐learning test outcomes have mostly been studied in clinical and elderly populations, and remain controversial. For the first time, we characterized a relationship between verbal list‐learning test outcomes and hippocampal subfield volumetry on two large separate datasets of 447 and 1,442 healthy young and middle‐aged adults, and explored the processes that could explain this relationship. We observed a replicable positive linear correlation between verbal list‐learning test free recall scores and CA1 volume, specific to verbal list learning as demonstrated by the hippocampal subfield volumetry independence from verbal intelligence. Learning meaningless items was also positively correlated with CA1 volume, pointing to the role of the test design rather than word meaning. Accordingly, we found that association‐based mnemonics mediated the relationship between verbal list‐learning test outcomes and CA1 volume. This mediation suggests that integrating items into associative representations during verbal list‐learning tests explains CA1 volume variations: this new explanation is consistent with the associative functions of the human CA1.
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Affiliation(s)
- Sandrine Cremona
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laure Zago
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Emmanuel Mellet
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Laurent Petit
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Alexandre Laurent
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Antonietta Pepe
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Ami Tsuchida
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Naka Beguedou
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Marc Joliot
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
| | - Christophe Tzourio
- Université de Bordeaux - Département Santé publique, INSERM, BPH U 1219, Bordeaux, France
| | - Bernard Mazoyer
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France.,Institut des maladies neurodégénératives clinique, CHU de Bordeaux, Bordeaux, France
| | - Fabrice Crivello
- Université de Bordeaux - Neurocampus, CEA, CNRS, IMN UMR 5293, Bordeaux, France
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Bouyeure A, Patil S, Mauconduit F, Poiret C, Isai D, Noulhiane M. Hippocampal subfield volumes and memory discrimination in the developing brain. Hippocampus 2021; 31:1202-1214. [PMID: 34448509 DOI: 10.1002/hipo.23385] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/30/2021] [Accepted: 07/24/2021] [Indexed: 12/12/2022]
Abstract
The ability to keep distinct memories of similar events is underpinned by a type of neural computation called pattern separation (PS). Children typically report coarse-grained memories narratives lacking specificity and detail. This lack of memory specificity is illustrative of an immature or impaired PS. Despite its importance for the ontogeny of memory, data regarding the maturation of PS during childhood is still scarce. PS is known to rely on the hippocampus, particularly on hippocampal subfields DG and CA3. In this study, we used a memory discrimination task, a behavioral proxy for PS, and manually segmented hippocampal subfields volumes in the hippocampal body in a cohort of 26 children aged from 5 to 12 years. We examined the association between subfields volumes and memory discrimination performance. The main results were: (1) we showed age-related differences of memory discrimination suggesting a continuous increase of memory performance during early to late childhood. (2) We evidenced distinct associations between age and the volumes of hippocampal subfield, suggesting distinct developmental trajectories. (3) We showed a relationship between memory discrimination performance and the volumes of CA3 and subiculum. Our results further confirm the role of CA3 in memory discrimination, and suggest to scrutinize more closely the role of the subiculum. Overall, we showed that hippocampal subfields contribute distinctively to PS during development.
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Affiliation(s)
- Antoine Bouyeure
- UNIACT, NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.,UMR1141, Inserm, Université de Paris, Paris, France
| | - Sandesh Patil
- UNIACT, NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.,UMR1141, Inserm, Université de Paris, Paris, France
| | - Franck Mauconduit
- BAOBAB, NeuroSpin, CEA, CNRS, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Clément Poiret
- UNIACT, NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.,UMR1141, Inserm, Université de Paris, Paris, France
| | - Damien Isai
- UNIACT, NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.,UMR1141, Inserm, Université de Paris, Paris, France
| | - Marion Noulhiane
- UNIACT, NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France.,UMR1141, Inserm, Université de Paris, Paris, France
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28
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Bender AR, Brandmaier AM, Düzel S, Keresztes A, Pasternak O, Lindenberger U, Kühn S. Hippocampal Subfields and Limbic White Matter Jointly Predict Learning Rate in Older Adults. Cereb Cortex 2021; 30:2465-2477. [PMID: 31800016 DOI: 10.1093/cercor/bhz252] [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: 05/09/2019] [Revised: 08/20/2019] [Accepted: 10/01/2019] [Indexed: 12/21/2022] Open
Abstract
Age-related memory impairments have been linked to differences in structural brain parameters, including cerebral white matter (WM) microstructure and hippocampal (HC) volume, but their combined influences are rarely investigated. In a population-based sample of 337 older participants aged 61-82 years (Mage = 69.66, SDage = 3.92 years), we modeled the independent and joint effects of limbic WM microstructure and HC subfield volumes on verbal learning. Participants completed a verbal learning task of recall over five repeated trials and underwent magnetic resonance imaging (MRI), including structural and diffusion scans. We segmented three HC subregions on high-resolution MRI data and sampled mean fractional anisotropy (FA) from bilateral limbic WM tracts identified via deterministic fiber tractography. Using structural equation modeling, we evaluated the associations between learning rate and latent factors representing FA sampled from limbic WM tracts, and HC subfield volumes, and their latent interaction. Results showed limbic WM and the interaction of HC and WM-but not HC volume alone-predicted verbal learning rates. Model decomposition revealed HC volume is only positively associated with learning rate in individuals with higher WM anisotropy. We conclude that the structural characteristics of limbic WM regions and HC volume jointly contribute to verbal learning in older adults.
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Affiliation(s)
- Andrew R Bender
- Departments of Epidemiology and Biostatistics, Neurology and Ophthalmology, College of Human Medicine, Michigan State University, East Lansing, MI 48824, USA.,Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Andreas M Brandmaier
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH
| | - Sandra Düzel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany
| | - Attila Keresztes
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Budapest, Hungary.,Faculty of Education and Psychology, Eötvös Loránd University, H-1053 Budapest, Hungary
| | - Ofer Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, D-14195 Berlin, Germany and London, UK WC1B 5EH.,European University Institute, I-50014. San Domenico di Fiesole, Italy
| | - Simone Kühn
- Center for Lifespan Psychology, Max Planck Institute for Human Development, D-14195 Berlin, Germany.,Department of Psychiatry and Psychotherapy, University Clinic Hamburg-Eppendorf, 20246 Hamburg, Germany
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29
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Leung IHK, Broadhouse KM, Mowszowski L, LaMonica HM, Palmer JR, Hickie IB, Naismith SL, Duffy SL. Association between lifetime depression history, hippocampal volume and memory in non-amnestic mild cognitive impairment. Eur J Neurosci 2021; 54:4953-4970. [PMID: 33765347 DOI: 10.1111/ejn.15207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 03/01/2021] [Accepted: 03/14/2021] [Indexed: 11/28/2022]
Abstract
Hippocampal subfield volume loss in older adults with amnestic mild cognitive impairment (aMCI) and depression history are associated with amyloid beta and tau pathology, thereby increasing the risk for Alzheimer's disease (AD). However, no studies have exclusively examined distinct alterations in hippocampal subfields in non-amnestic MCI (naMCI) in relation to depression history. Here, we used both longitudinal and transverse hippocampal segmentation methods using the automated FreeSurfer software to examine whether a lifetime depression history is associated with differences in hippocampal head/body/tail (H/B/T) and key subfield volumes (CA1, subiculum, dentate gyrus) in older adults with naMCI. Further, we explored whether differences in hippocampal H/B/T and subfield volumes were associated with structured and unstructured verbal encoding and retention, comparing those with and without a depression history. The naMCI with a depression history group demonstrated larger or relatively preserved right CA1 volumes, which were associated with better unstructured verbal encoding and as well as structured verbal memory retention. This association between memory encoding and hippocampal CA1 and total head volume was significantly different to those with no depression history. The relationship between right CA1 volume and memory retention was also moderated by depression history status F (5,143) = 7.84, p < 0.001, R2 = 0.22. Those participants taking antidepressants had significantly larger hippocampal subiculum (p = 0.008), and right hippocampal body (p = 0.004) and better performance on structured encoding (p = 0.011) and unstructured memory retention (p = 0.009). These findings highlight the importance of lifetime depression history and antidepressant use on the hippocampus and encoding and memory retention in naMCI.
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Affiliation(s)
- Isabella Hoi Kei Leung
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Kathryn Mary Broadhouse
- Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,School of Science and Engineering, University of the Sunshine Coast, Sunshine Coast, QLD, Australia
| | - Loren Mowszowski
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Haley M LaMonica
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Medicine and Health, Central Clinical School, University of Sydney, Sydney, NSW, Australia
| | - Jake Robert Palmer
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Department of Psychology, Macquarie University, Sydney, NSW, Australia
| | - Ian B Hickie
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Sharon L Naismith
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Faculty of Science, School of Psychology, University of Sydney, Sydney, NSW, Australia
| | - Shantel Leigh Duffy
- Healthy Brain Ageing Program, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, Discipline of Exercise and Sport Science, Faculty of Health Sciences, University of Sydney, Sydney, NSW, Australia
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30
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Fabri TL, Datta R, O'Mahony J, Barlow-Krelina E, De Somma E, Longoni G, Gur RE, Gur RC, Bacchus M, Ann Yeh E, Banwell BL, Till C. Memory, processing of emotional stimuli, and volume of limbic structures in pediatric-onset multiple sclerosis. Neuroimage Clin 2021; 31:102753. [PMID: 34273791 PMCID: PMC8319518 DOI: 10.1016/j.nicl.2021.102753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/22/2021] [Accepted: 06/29/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE The limbic system is involved in memory and in processing of emotional stimuli. We measured volume of the hippocampus, amygdala, and thalamus, and assessed their relative contribution to episodic memory and emotion identification in POMS. METHOD Sixty-five POMS participants (Mage = 18.3 ± 3.9 years; 48 female (73.8%)), average disease duration = 3.8 ± 3.8 years) and 76 age- and sex-matched controls (Mage = 18.1 ± 4.6 years; 49 female (64.5%)) completed the Penn Computerized Neurocognitive Battery (PCNB); 59 of 65 POMS participants and 69 out of 76 controls underwent 3 T MRI scanning. We derived age-adjusted Z-scores on accuracy and response time (RT) measures of episodic memory and emotion identification of the PCNB. Magnetic resonance imaging (MRI) volumetrics were normalized using the scaling factor computed by SIENAx. On PCNB tests that differed between groups, we used multiple linear regression to assess relationships between regional brain volumes and either episodic memory or emotion identification outcomes controlling for age, sex, accuracy/RT, and parental education. RESULTS POMS participants were slower and less accurate than controls on the episodic memory domain but did not differ from controls on emotion outcomes. At the subtest level, POMS participants showed reduced accuracy on Word Memory (p = .002) and slower performance on Face Memory (p = .04) subtests. POMS participants had smaller total and regional brain volumes of the hippocampus, amygdala, and thalamus (p values ≤ 0.01). Collapsing across groups, both hippocampal and thalamic volume were significant predictors of Word Memory accuracy; hippocampal volume (B = 0.24, SE = 0.10, p = .02) was more strongly associated with Word Memory performance than thalamic volume (B = 0.16, SE = 0.05, p = .003), though the estimate with was less precise. CONCLUSIONS POMS participants showed reduced episodic memory performance compared to controls. Aspects of episodic memory performance were associated with hippocampal and thalamic volume. Emotion identification was intact, despite volume loss in the amygdala.
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Affiliation(s)
| | - Ritobrato Datta
- Division of Neurology, Children's Hospital of Philadelphia, United States
| | - Julia O'Mahony
- Departments of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada
| | | | | | - Giulia Longoni
- Department of Paediatrics, Division of Neurology, The Hospital for Sick Children, University of Toronto, Canada
| | - Raquel E Gur
- Penn-CHOP Lifespan Brain Institute, Departments of Psychiatry, Neurology, and Radiology, University of Pennsylvania School of Medicine, United States
| | - Ruben C Gur
- Penn-CHOP Lifespan Brain Institute, Departments of Psychiatry, Neurology, and Radiology, University of Pennsylvania School of Medicine, United States
| | - Micky Bacchus
- Division of Neurology, Children's Hospital of Philadelphia, United States
| | - E Ann Yeh
- Department of Paediatrics, Division of Neurology, The Hospital for Sick Children, University of Toronto, Canada
| | - Brenda L Banwell
- Division of Neurology, Children's Hospital of Philadelphia, United States; Perelman School of Medicine, University of Pennsylvania, United States
| | - Christine Till
- Department of Psychology, York University, Canada; Department of Paediatrics, Division of Neurology, The Hospital for Sick Children, University of Toronto, Canada.
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31
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Qi R, Luo Y, Zhang L, Weng Y, Surento W, Xu Q, Jahanshad N, Li L, Cao Z, Lu GM, Thompson PM. Decreased functional connectivity of hippocampal subregions and methylation of the NR3C1 gene in Han Chinese adults who lost their only child. Psychol Med 2021; 51:1310-1319. [PMID: 31983347 PMCID: PMC7938667 DOI: 10.1017/s0033291720000045] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Losing one's only child is a major traumatic life event that may lead to post-traumatic stress disorder (PTSD); however, the underlying mechanisms of its psychological consequences remain poorly understood. Here, we investigated subregional hippocampal functional connectivity (FC) networks based on resting-state functional magnetic resonance imaging and the deoxyribonucleic acid methylation of the human glucocorticoid receptor gene (NR3C1) in adults who had lost their only child. METHODS A total of 144 Han Chinese adults who had lost their only child (51 adults with PTSD and 93 non-PTSD adults [trauma-exposed controls]) and 50 controls without trauma exposure were included in this fMRI study (age: 40-67 years). FCs between hippocampal subdivisions (four regions in each hemisphere: cornu ammonis1 [CA1], CA2, CA3, and dentate gyrus [DG]) and methylation levels of the NR3C1 gene were compared among the three groups. RESULTS Trauma-exposed adults, regardless of PTSD diagnosis, had weaker positive FC between the left hippocampal CA1, left DG, and the posterior cingulate cortex, and weaker negative FC between the right CA1, right DG, and several frontal gyri, relative to healthy controls. Compared to non-PTSD adults, PTSD adults showed decreased negative FC between the right CA1 region and the right middle/inferior frontal gyri (MFG/IFG), and decreased negative FC between the right DG and the right superior frontal gyrus and left MFG. Both trauma-exposed groups showed lower methylation levels of the NR3C1 gene. CONCLUSIONS Adults who had lost their only child may experience disrupted hippocampal network connectivity and NR3C1 methylation status, regardless of whether they have developed PTSD.
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Affiliation(s)
- Rongfeng Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Yifeng Luo
- Department of Radiology, The Affiliated Yixing Hospital of Jiangsu University, Wuxi, 75 Tongzhenguan Road, 214200, Wuxi, China
| | - Li Zhang
- Mental Health Institute, the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, 410011, China
| | - Yifei Weng
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Wesley Surento
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Qiang Xu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90292, USA
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, National Technology Institute of Psychiatry, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, 410011, China
| | - Zhihong Cao
- Department of Radiology, The Affiliated Yixing Hospital of Jiangsu University, Wuxi, 75 Tongzhenguan Road, 214200, Wuxi, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, Jiangsu, 210002, China
| | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Marina del Rey, CA, 90292, USA
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Deri Y, Clouston SAP, DeLorenzo C, Gardus JD, Horton M, Tang C, Pellecchia AC, Santiago‐Michels S, Carr MA, Gandy S, Sano M, Bromet EJ, Lucchini RG, Luft BJ. Selective hippocampal subfield volume reductions in World Trade Center responders with cognitive impairment. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12165. [PMID: 33816755 PMCID: PMC8011041 DOI: 10.1002/dad2.12165] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 01/27/2021] [Indexed: 01/20/2023]
Abstract
INTRODUCTION The objective of this study was to investigate associations between dementia in World Trade Center (WTC) responders and in vivo volumetric measures of hippocampal subfield volumes in WTC responders at midlife. METHODS A sample of 99 WTC responders was divided into dementia and unimpaired groups. Participants underwent structural T1-weighted magnetic resonance imaging. Volumetric measures included the overall hippocampus and eight subfields. Regression models examined volumetric measure of interest adjusting for confounders including intracranial volume. RESULTS Dementia was associated with smaller hippocampal volume and with reductions across hippocampal subfields. Smaller hippocampal subfield volumes were associated with longer cumulative time worked at the WTC. Domain-specific cognitive performance was associated with lower volumetric measures across hippocampal subregions. CONCLUSIONS This is the first study to investigate hippocampal subfield volumes in a sample of WTC responders at midlife. Selective hippocampal subfield volume reductions suggested abnormal cognition that were associated with WTC exposure duration.
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Affiliation(s)
- Yael Deri
- Department of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Sean A. P. Clouston
- Program in Public Health and Department of Family, Population, and Preventive MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Christine DeLorenzo
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
- Department of Biomedical EngineeringStony Brook UniversityStony BrookNew YorkUSA
| | - John D. Gardus
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Megan Horton
- Department of Environmental Medicine and Public HealthIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Cheuk Tang
- Biomedical Engineering and Imaging InstituteIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Alison C. Pellecchia
- Stony Brook World Trade Center Wellness ProgramRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Stephanie Santiago‐Michels
- Stony Brook World Trade Center Wellness ProgramRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Melissa A. Carr
- Stony Brook World Trade Center Wellness ProgramRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Sam Gandy
- Barbara and Maurice Deane Center for Wellness and Cognitive Health and the Mount Sinai Center for NFL Neurological Care, Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
- Mount Sinai Alzheimer's Disease Research CenterIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Mary Sano
- Mount Sinai Alzheimer's Disease Research CenterIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Evelyn J. Bromet
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Roberto G. Lucchini
- Department of Environmental Medicine and Public HealthIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Benjamin J. Luft
- Department of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
- Stony Brook World Trade Center Wellness ProgramRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
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Liu G, Liu C, Qiu A. Spatial correlation maps of the hippocampus with cerebrospinal fluid biomarkers and cognition in Alzheimer's disease: A longitudinal study. Hum Brain Mapp 2021; 42:2931-2940. [PMID: 33739550 PMCID: PMC8127150 DOI: 10.1002/hbm.25414] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 03/05/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023] Open
Abstract
This study is an observational study that takes the existing longitudinal data from Alzheimer's disease Neuroimaging Initiative to examine the spatial correlation map of hippocampal subfield atrophy with CSF biomarkers and cognitive decline in the course of AD. This study included 421 healthy controls (HC), 557 patients of stable mild cognitive impairment (s‐MCI), 304 Alzheimer's Disease (AD) patients, and 241 subjects who converted to be AD from MCI (c‐MCI), and 6,525 MRI scans in a period from 2004 to 2019. Our findings revealed that all the hippocampal subfields showed their accelerated atrophy rate from cognitively normal aging to stable MCI and AD. The presubiculum, dentate gyrus, and fimbria showed greater atrophy beyond the whole hippocampus in the HC, s‐MCI, and AD groups and corresponded to a greater decline of memory and attention in the s‐MCI group. Moreover, the higher atrophy rates of the subiculum and CA2/3, CA4 were also associated with a greater decline in attention in the s‐MCI group. Interestingly, patients with c‐MCI showed that the presubiculum atrophy was associated with CSF tau levels and corresponded to the onset age of AD and a decline in attention in patients with c‐MCI. These spatial correlation findings of the hippocampus suggested that the hippocampal subfields may not be equally impacted by normal aging, MCI, and AD, and their atrophy was selectively associated with declines in specific cognitive domains. The presubiculum atrophy was highlighted as a surrogate marker for the AD prognosis along with tau pathology and attention decline.
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Affiliation(s)
- Guodong Liu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Chaoqiang Liu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore
| | - Anqi Qiu
- Department of Biomedical Engineering, National University of Singapore, Singapore, Singapore.,The N.1 Institute for Health, National University of Singapore, Singapore, Singapore.,Smart Systems Institute, National University of Singapore, Singapore, Singapore.,Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA
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Menzler K, Hamer HM, Mross P, Rosenow F, Deichmann R, Wagner M, Gracien RM, Doerfler A, Bluemcke I, Coras R, Belke M, Knake S. Validation of automatic MRI hippocampal subfield segmentation by histopathological evaluation in patients with temporal lobe epilepsy. Seizure 2021; 87:94-102. [PMID: 33752160 DOI: 10.1016/j.seizure.2021.03.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/09/2021] [Accepted: 03/11/2021] [Indexed: 12/29/2022] Open
Abstract
OBJECTIVE The present study validates the results of automated hippocampal subfield segmentation with histopathology in epilepsy patients undergoing epilepsy surgery. METHODS We performed an automated hippocampal subfield segmentation on presurgical three-dimensional, T1-weighted magnetization Prepared Rapid Acquisition of Gradient Echoes Magnetic Resonance Imaging (MRI) data of 25 patients with unilateral mesial temporal lobe epilepsy due to hippocampal sclerosis (HS), using Freesurfer Version 6.0. The resulting volumes of cornu ammonis (CA) subfields CA1, CA2/3, CA4 and the dentate gyrus (DG) were compared to the histopathological cell count. RESULTS We found a significant correlation between histopathology in subregion CA2 and automated segmentation of subregion CA1 (p = 0.0062), CA2/3 (p = 0.004), CA4 (p = 0.0062) and the DG (p = 0.0054), between histopathology in CA3 and automated segmentation of CA1 (p = 0.0132), CA2/3 (p = 0.0004), CA4 (p = 0.0032) and the DG (p = 0.0037), as well as between histopathology in the DG and automated segmentation of CA1 (p = 0.0115), CA2/3 (p < 0.0001), CA4 (p < 0.0001) and the DG (p = 0.0001). The histopathological finding of HS type 1 could correctly be classified in all cases on MRI. SIGNIFICANCE The present study shows significant correlations between histopathological evaluation and results of the automated segmentation of the hippocampus, thereby validating the automated segmentation method. As the differential involvement of different hippocampal subfields may be associated with clinical parameters and the outcome after epilepsy surgery, the automated segmentation is also promising for prognostic purposes.
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Affiliation(s)
- Katja Menzler
- Epilepsy Center Hessen, Philipps-University Marburg, Department of Neurology, Baldingerstrasse, 35043, Marburg, Germany.
| | - Hajo M Hamer
- Epilepsy Center, University Hospital Erlangen, Erlangen, Germany
| | - Peter Mross
- Epilepsy Center Hessen, Philipps-University Marburg, Department of Neurology, Baldingerstrasse, 35043, Marburg, Germany
| | - Felix Rosenow
- Epilepsy Center Hessen, Philipps-University Marburg, Department of Neurology, Baldingerstrasse, 35043, Marburg, Germany; Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany; Department of Neurology, Goethe University, Frankfurt/Main, Germany
| | - Ralf Deichmann
- Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany; Brain Imaging Center, Goethe University, Frankfurt/Main, Germany
| | - Marlies Wagner
- Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany; Department of Neuroradiology, Goethe University, Frankfurt/Main, Germany
| | - René-Maxime Gracien
- Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany; Department of Neurology, Goethe University, Frankfurt/Main, Germany; Brain Imaging Center, Goethe University, Frankfurt/Main, Germany
| | - Arnd Doerfler
- Department of Neuroradiology, University Hospital Erlangen, Erlangen, Germany
| | - Ingmar Bluemcke
- Institute of Neuropathology, University Hospital Erlangen, Erlangen, Germany
| | - Roland Coras
- Institute of Neuropathology, University Hospital Erlangen, Erlangen, Germany
| | - Marcus Belke
- Epilepsy Center Hessen, Philipps-University Marburg, Department of Neurology, Baldingerstrasse, 35043, Marburg, Germany; Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany
| | - Susanne Knake
- Epilepsy Center Hessen, Philipps-University Marburg, Department of Neurology, Baldingerstrasse, 35043, Marburg, Germany; Center for Personalized Translational Epilepsy Research (CePTER) Consortium, Germany
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Sloan RP, Wall M, Yeung LK, Feng T, Feng X, Provenzano F, Schroeter H, Lauriola V, Brickman AM, Small SA. Insights into the role of diet and dietary flavanols in cognitive aging: results of a randomized controlled trial. Sci Rep 2021; 11:3837. [PMID: 33589674 PMCID: PMC7884710 DOI: 10.1038/s41598-021-83370-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 01/22/2021] [Indexed: 11/09/2022] Open
Abstract
With the world's population aging, age-related memory decline is an impending cognitive epidemic. Assessing the impact of diet on cognitive aging, we conducted a controlled, randomized, parallel-arm dietary intervention with 211 healthy adults (50-75 years) investigating effects of either a placebo or 260, 510 and 770 mg/day of cocoa flavanols for 12-weeks followed by 8-weeks washout. The primary outcome was a newly-developed object-recognition task localized to the hippocampus' dentate gyrus. Secondary outcomes included a hippocampal-dependent list-learning task and a prefrontal cortex-dependent list-sorting task. The alternative Healthy Eating Index and a biomarker of flavanol intake (gVLM) were measured. In an MRI substudy, hippocampal cerebral blood volume was mapped. Object-recognition and list-sorting performance did not correlate with baseline diet quality and did not improve after flavanol intake. However, the hippocampal-dependent list-learning performance was directly associated with baseline diet quality and improved after flavanol intake, particularly in participants in the bottom tertile of baseline diet quality. In the imaging substudy, a region-of-interest analysis was negative but a voxel-based-analysis suggested that dietary flavanols target the dentate gyrus. While replication is needed, these findings suggest that diet in general, and dietary flavanols in particular, may be associated with memory function of the aging hippocampus and normal cognitive decline.
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Affiliation(s)
- Richard P Sloan
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, 622 West 168th St., New York, NY, 10032, USA.
- New York State Psychiatric Institute, 1050 Riverside Drive, New York, NY, 10032, USA.
| | - Melanie Wall
- New York State Psychiatric Institute, 1050 Riverside Drive, New York, NY, 10032, USA
| | - Lok-Kin Yeung
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
- Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
| | - Tianshu Feng
- New York State Psychiatric Institute, 1050 Riverside Drive, New York, NY, 10032, USA
| | - Xinyang Feng
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
| | - Frank Provenzano
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
- Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
| | | | - Vincenzo Lauriola
- Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, 622 West 168th St., New York, NY, 10032, USA
| | - Adam M Brickman
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
- Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA
| | - Scott A Small
- Department of Neurology, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA.
- Taub Institute for Research On Alzheimer's Disease and the Aging Brain, Vagelos College of Physicians and Surgeons, Columbia University, 622 West 168th St., New York, NY, 10032, USA.
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Ohene-Nyako M, Persons AL, Napier TC. Hippocampal blood-brain barrier of methamphetamine self-administering HIV-1 transgenic rats. Eur J Neurosci 2021; 53:416-429. [PMID: 32725911 PMCID: PMC9949894 DOI: 10.1111/ejn.14925] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 07/19/2020] [Accepted: 07/20/2020] [Indexed: 12/16/2022]
Abstract
Combined antiretroviral therapy for HIV infection reduces plasma viral load and prolongs life. However, the brain is a viral reservoir, and pathologies such as cognitive decline and blood-brain barrier (BBB) disruption persist. Methamphetamine abuse is prevalent among HIV-infected individuals. Methamphetamine and HIV toxic proteins can disrupt the BBB, but it is unclear if there exists a common pathway by which HIV proteins and methamphetamine induce BBB damage. Also unknown are the BBB effects imposed by chronic exposure to HIV proteins in the comorbid context of chronic methamphetamine abuse. To evaluate these scenarios, we trained HIV-1 transgenic (Tg) and non-Tg rats to self-administer methamphetamine using a 21-day paradigm that produced an equivalency dose range at the low end of the amounts self-titrated by humans. Markers of BBB integrity were measured for the hippocampus, a brain region involved in cognitive function. Outcomes revealed that tight junction proteins, claudin-5 and occludin, were reduced in Tg rats independent of methamphetamine, and this co-occurred with increased levels of lipopolysaccharide, albumin (indicating barrier breakdown) and matrix metalloproteinase-9 (MMP-9; indicating barrier matrix disruption); reductions in GFAP (indicating astrocytic dysfunction); and microglial activation (indicating inflammation). Evaluations of markers for two signaling pathways that regulate MMP-9 transcription, NF-κB and ERK/∆FosB revealed an overall genotype effect for NF-κB. Methamphetamine did not alter measurements from Tg rats, but in non-Tg rats, methamphetamine reduced occludin and GFAP, and increased MMP-9 and NF-κB. Study outcomes suggest that BBB dysregulation resulting from chronic exposure to HIV-1 proteins or methamphetamine both involve NF-κB/MMP-9.
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Affiliation(s)
- Michael Ohene-Nyako
- Department of Pharmacology, Rush University, Chicago, IL, USA,Department of Physician Assistant Studies, Rush University, Chicago, IL, USA
| | - Amanda L. Persons
- Department of Physician Assistant Studies, Rush University, Chicago, IL, USA,Department of Psychiatry and Behavioral Sciences, Rush University, Chicago, IL, USA,Center for Compulsive Behavior and Addiction, Rush University, Chicago, IL, USA
| | - T. Celeste Napier
- Department of Pharmacology, Rush University, Chicago, IL, USA,Department of Physician Assistant Studies, Rush University, Chicago, IL, USA,Center for Compulsive Behavior and Addiction, Rush University, Chicago, IL, USA
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Becker S, Granert O, Timmers M, Pilotto A, Van Nueten L, Roeben B, Salvadore G, Galpern WR, Streffer J, Scheffler K, Maetzler W, Berg D, Liepelt-Scarfone I. Association of Hippocampal Subfields, CSF Biomarkers, and Cognition in Patients With Parkinson Disease Without Dementia. Neurology 2020; 96:e904-e915. [PMID: 33219138 DOI: 10.1212/wnl.0000000000011224] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 10/02/2020] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE To examine whether hippocampal volume loss is primarily associated with cognitive status or pathologic β-amyloid 1-42 (Aβ42) levels, this study compared hippocampal subfield volumes between patients with Parkinson disease (PD) with mild cognitive impairment (PD-MCI) and without cognitive impairment (PD-CN) and between patients with low and high Aβ42 levels, in addition exploring the relationship among hippocampal subfield volumes, CSF biomarkers (Aβ42, phosphorylated and total tau), neuropsychological tests, and activities of daily living. METHODS Forty-five patients with PD without dementia underwent CSF analyses and MRI as well as comprehensive motor and neuropsychological examinations. Hippocampal segmentation was conducted using FreeSurfer image analysis suite 6.0. Regression models were used to compare hippocampal subfield volumes between groups, and partial correlations defined the association between variables while controlling for intracranial volume (ICV). RESULTS Linear regressions revealed cognitive group as a statistically significant predictor of both the hippocampal-amygdaloid transition area (HATA; β = -0.23, 95% CI -0.44 to -0.02) and the cornu ammonis 1 region (CA1; β = -0.28, 95% confidence interval [CI] -0.56 to -0.02), independent of disease duration and ICV, with patients with PD-MCI showing significantly smaller volumes than PD-CN. In contrast, no subfields were predicted by Aβ42 levels. Smaller hippocampal volumes were associated with worse performance on memory, language, spatial working memory, and executive functioning tests. The subiculum was negatively correlated with total tau levels (r = -0.37, 95% CI -0.60 to -0.09). CONCLUSION Cognitive status, but not CSF Aβ42, predicted hippocampal volumes, specifically the CA1 and HATA. Hippocampal subfields were associated with various cognitive domains, as well as with tau pathology.
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Affiliation(s)
- Sara Becker
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany.
| | - Oliver Granert
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Maarten Timmers
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Andrea Pilotto
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Luc Van Nueten
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Benjamin Roeben
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Giacomo Salvadore
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Wendy R Galpern
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Johannes Streffer
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Klaus Scheffler
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Walter Maetzler
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Daniela Berg
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
| | - Inga Liepelt-Scarfone
- From the Department of Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Hertie Institute for Clinical Brain Research; German Center for Neurodegenerative Diseases (S.B., B.R., I.L.-S.), Tübingen; Department of Neurology (O.G., W.M., D.B.), Christian-Albrechts-University, Kiel, Germany; Janssen Research and Development, a Division of Janssen Pharmaceutica N.V. (M.T., L.V.N., J.S.), Beerse; Reference Center for Biological Markers of Dementia (M.T.), Institute Born-Bunge, University of Antwerp, Belgium; Department of Clinical and Experimental Sciences (A.P.), University of Brescia; Parkinson's Disease Rehabilitation Centre (A.P.), FERB ONLUS Sant'Isidoro Hospital, Trescore Balneario, Italy; Janssen Research and Development LLC (G.S., W.R.G.), Titusville, NJ; Translational Medicine Neuroscience (J.S.), UCB Biopharma SPRK, Braine-l'Alleud, Belgium; Magnetic Resonance Center (K.S.), Max Planck Institute for Biological Cybernetics; and Department of Biomedical Magnetic Resonance (K.S.), University Hospital Tübingen, Germany
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Cerebral Small Vessel Disease Influences Hippocampal Subfield Atrophy in Mild Cognitive Impairment. Transl Stroke Res 2020; 12:284-292. [PMID: 32894401 DOI: 10.1007/s12975-020-00847-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 07/15/2020] [Accepted: 08/31/2020] [Indexed: 01/04/2023]
Abstract
To investigate patterns of hippocampal subfield atrophy among patients with amnestic mild cognitive impairment, stratified by severity of small vessel disease (SVD) and corresponding associations with cognitive domains. One hundred seventy-six MCI subjects (mean age = 65.56 years, SD = 8.77) underwent neuropsychological assessments and magnetic resonance imaging. SVD was rated 0 (no SVD), 1 (mild SVD) and 2 (moderate to severe SVD) based on load of white matter hyperintensities (WMH) and lacunes. Demographics, cerebrovascular risk factors, grey and white matter volumes and hippocampal subfield atrophies were compared across SVD severity through ANCOVA analyses. Subjects were categorized into positive or negative SVD-hippocampal subfield atrophy (HSA) and influence of positive SVD-HSA on episodic memory and frontal executive function was evaluated through ANCOVA analyses. All analyses corrected for covariates and bias-corrected bootstrap estimation with 1000 resamples was applied with Bonferroni correction. Hippocampal subfield atrophy worsened with increasing SVD severity. Positive SVD-HSA was characterised by significant atrophy in the subiculum, CA1, CA4, molecular layer and dentate gyrus. Greater atrophy was seen with moderate to severe SVD compared to mild SVD in these subfields. Atrophy in the five subfields of SVD-HSA was significantly associated with poor episodic memory and frontal executive function. Presence and burden of SVD influences the pattern and severity of hippocampal subfield atrophy. SVD-related hippocampal subfield atrophy is associated with poorer episodic memory and frontal executive function in mild cognitive impairment.
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Sawyer KS, Adra N, Salz DM, Kemppainen MI, Ruiz SM, Harris GJ, Oscar-Berman M. Hippocampal subfield volumes in abstinent men and women with a history of alcohol use disorder. PLoS One 2020; 15:e0236641. [PMID: 32776986 PMCID: PMC7416961 DOI: 10.1371/journal.pone.0236641] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 07/10/2020] [Indexed: 12/05/2022] Open
Abstract
Alcohol Use Disorder (AUD) has been associated with abnormalities in hippocampal volumes, but these relationships have not been fully explored with respect to sub-regional volumes, nor in association with individual characteristics such as age, gender differences, drinking history, and memory. The present study examined the impact of those variables in relation to hippocampal subfield volumes in abstinent men and women with a history of AUD. Using Magnetic Resonance Imaging at 3 Tesla, we obtained brain images from 67 participants with AUD (31 women) and 64 nonalcoholic control (NC) participants (31 women). The average duration of the most recent period of sobriety for AUD participants was 7.1 years. We used Freesurfer 6.0 to segment the hippocampus into 12 regions. These were imputed into statistical models to examine the relationships of brain volume with AUD group, age, gender, memory, and drinking history. Interactions with gender and age were of particular interest. Compared to the NC group, the AUD group had approximately 5% smaller subiculum, CA1, molecular layer, and hippocampal tail regions. Age was negatively associated with volumes for the AUD group in the subiculum and the hippocampal tail, but no significant interactions with gender were identified. The relationships for delayed and immediate memory with hippocampal tail volume differed for AUD and NC groups: Higher scores on tests of immediate and delayed memory were associated with smaller volumes in the AUD group, but larger volumes in the NC group. Length of sobriety was associated with decreasing CA1 volume in women (0.19% per year) and increasing volume size in men (0.38% per year). The course of abstinence on CA1 volume differed for men and women, and the differential relationships of subfield volumes to age and memory could indicate a distinction in the impact of AUD on functions of the hippocampal tail. These findings confirm and extend evidence that AUD, age, gender, memory, and abstinence differentially impact volumes of component parts of the hippocampus.
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Affiliation(s)
- Kayle S. Sawyer
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
- Sawyer Scientific, LLC, Boston, MA, United States of America
| | - Noor Adra
- VA Boston Healthcare System, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Daniel M. Salz
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Maaria I. Kemppainen
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Susan M. Ruiz
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
| | - Gordon J. Harris
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
- Harvard Medical School, Boston, MA, United States of America
| | - Marlene Oscar-Berman
- VA Boston Healthcare System, Boston, MA, United States of America
- Boston University School of Medicine, Boston, MA, United States of America
- Massachusetts General Hospital, Boston, MA, United States of America
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van Eijk L, Hansell NK, Strike LT, Couvy-Duchesne B, de Zubicaray GI, Thompson PM, McMahon KL, Zietsch BP, Wright MJ. Region-specific sex differences in the hippocampus. Neuroimage 2020; 215:116781. [DOI: 10.1016/j.neuroimage.2020.116781] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 02/12/2020] [Accepted: 03/27/2020] [Indexed: 01/11/2023] Open
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Saad SHS, Alashwah MMA, Alsafa AA, Dawoud MA. The role of brain structural magnetic resonance imaging in the assessment of hippocampal subfields in Alzheimer’s disease. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00164-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Volumetric MR neuroimaging can visualize the pattern of hippocampal subfield atrophic changes in AD. This can be used as a biomarker in early diagnosis of AD and allow early treatment to improve memory, behavioral symptoms, and delay the cognitive deterioration. The aim of this work is to assess the role of the volumetric study of different hippocampal subfields as a post-processing technique of structural MR imaging in patients with Alzheimer’s disease of different severity of cognitive functions. The regional ethics committee approved the study and written informed consent was obtained from all participants. In the duration from 2016 to 2018, a cross-sectional study was conducted on 30 patients (17 males and 13 females) and 15 healthy elderly controls (9 males and 6 females) referred to the Radiodiagnosis Department from the Neuropsychiatry Department. Patients were diagnosed with AD by clinical examination and using the Mini Mental State Examination (MMSE) and the Clinical Dementia Rating scale (CDR) as a measure of general cognitive performance.
Results
CA1 and subiculum subfields were significantly reduced in size in patients with Alzheimer’s disease in relation to the age-matched control group (P < 0.05). This finding was positively correlated with the MMSE score and negatively correlated with CDR clinical tests. No significant atrophy was found among other hippocampal subfields in the patients’ group.
Conclusion
This study proposed a new approach to detect atrophy in hippocampal subfields, using MR volumetric study of high-resolution T1 images, that can be used as a biomarker in the diagnosis of AD patients and differentiating them from elderly control subjects which is important in early diagnosis of AD and hence the proper treatment to improve the prognosis of the cognitive function.
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Miller TD, Chong TTJ, Aimola Davies AM, Johnson MR, Irani SR, Husain M, Ng TWC, Jacob S, Maddison P, Kennard C, Gowland PA, Rosenthal CR. Human hippocampal CA3 damage disrupts both recent and remote episodic memories. eLife 2020; 9:e41836. [PMID: 31976861 PMCID: PMC6980860 DOI: 10.7554/elife.41836] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 12/05/2019] [Indexed: 12/31/2022] Open
Abstract
Neocortical-hippocampal interactions support new episodic (event) memories, but there is conflicting evidence about the dependence of remote episodic memories on the hippocampus. In line with systems consolidation and computational theories of episodic memory, evidence from model organisms suggests that the cornu ammonis 3 (CA3) hippocampal subfield supports recent, but not remote, episodic retrieval. In this study, we demonstrated that recent and remote memories were susceptible to a loss of episodic detail in human participants with focal bilateral damage to CA3. Graph theoretic analyses of 7.0-Tesla resting-state fMRI data revealed that CA3 damage disrupted functional integration across the medial temporal lobe (MTL) subsystem of the default network. The loss of functional integration in MTL subsystem regions was predictive of autobiographical episodic retrieval performance. We conclude that human CA3 is necessary for the retrieval of episodic memories long after their initial acquisition and functional integration of the default network is important for autobiographical episodic memory performance.
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Affiliation(s)
- Thomas D Miller
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Department of NeurologyRoyal Free HospitalLondonUnited Kingdom
| | - Trevor T-J Chong
- Monash Institute of Cognitive and Clinical NeurosciencesMonash UniversityClaytonAustralia
| | - Anne M Aimola Davies
- Department of Experimental PsychologyUniversity of OxfordOxfordUnited Kingdom
- Research School of PsychologyAustralian National UniversityCanberraAustralia
| | - Michael R Johnson
- Division of Brain SciencesImperial College LondonLondonUnited Kingdom
| | - Sarosh R Irani
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
| | - Masud Husain
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
- Department of Experimental PsychologyUniversity of OxfordOxfordUnited Kingdom
| | - Tammy WC Ng
- Department of AnaesthesticsRoyal Free HospitalLondonUnited Kingdom
| | - Saiju Jacob
- Neurology Department, Queen Elizabeth Neuroscience CentreUniversity Hospitals of BirminghamBirminghamUnited Kingdom
| | - Paul Maddison
- Neurology DepartmentQueen’s Medical CentreNottinghamUnited Kingdom
| | - Christopher Kennard
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
| | - Penny A Gowland
- Sir Peter Mansfield Magnetic Resonance Centre, School of Physics and AstronomyUniversity of NottinghamNottinghamUnited Kingdom
| | - Clive R Rosenthal
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUnited Kingdom
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Lv X, He H, Yang Y, Han L, Guo Z, Chen H, Li J, Qiu Y, Xie C. Radiation-induced hippocampal atrophy in patients with nasopharyngeal carcinoma early after radiotherapy: a longitudinal MR-based hippocampal subfield analysis. Brain Imaging Behav 2020; 13:1160-1171. [PMID: 30054872 DOI: 10.1007/s11682-018-9931-z] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Increasing evidence indicates that radiation-induced injury to the hippocampus may play a critical role in neurocognitive dysfunction in patients with nasopharyngeal carcinoma (NPC). However, few studies have assessed RT-induced hippocampal structural alterations in these patients early after radiotherapy (RT). In this study, 58 NPC patients were longitudinally followed up prior to treatment initiation as well as 3 and 6 months after RT, respectively. Twenty comparable normal controls were recruited and followed up in parallel. A novel magnetic resonance imaging (MRI)-based automated method was used to label hippocampal subfields. The linear mixed model was employed to evaluate longitudinal changes in the volumes of the whole hippocampus and seven hippocampal subfields. Time-dependent volume reduction was observed in the bilateral hippocampus, as well as in the bilateral granule cell layer (GCL), bilateral cornu ammonis 1 (CA1), bilateral molecular layer (ML), and bilateral subiculum (SUB) in NPC patients, but not in controls. Moreover, volume deficits in the bilateral hippocampus, bilateral GCL, and right ML showed dose-dependent patterns, and high volume losses in the bilateral hippocampus, bilateral GCL, left SUB, and right ML were associated with a rapid decline in cognitive function. Our findings demonstrated that the hippocampal subfields were selectively injured by irradiation-related early neurotoxic effects, which might account for cognitive impairment in NPC patients at an early stage after RT. Further, structural MRI could serve as a potential noninvasive imaging biomarker for the early detection of radiation effects on the hippocampus in NPC patients after RT.
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Affiliation(s)
- Xiaofei Lv
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Haoqiang He
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Yadi Yang
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Lujun Han
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Zheng Guo
- Department of Oncology, The First Affiliated Hospital of Ganzhou Medical University, Ganzhou, Jiangxi, People's Republic of China
| | - Hong Chen
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Jing Li
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China
| | - Yingwei Qiu
- Department of Radiology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, People's Republic of China.
| | - Chuanmiao Xie
- Department of Medical Imaging, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, People's Republic of China.
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Li G, Chen MH, Li G, Wu D, Lian C, Sun Q, Shen D, Wang L. A Longitudinal MRI Study of Amygdala and Hippocampal Subfields for Infants with Risk of Autism. GRAPH LEARNING IN MEDICAL IMAGING : FIRST INTERNATIONAL WORKSHOP, GLMI 2019, HELD IN CONJUNCTION WITH MICCAI 2019, SHENZHEN, CHINA, OCTOBER 17, 2019, PROCEEDINGS 2019; 11849:164-171. [PMID: 32104792 PMCID: PMC7043018 DOI: 10.1007/978-3-030-35817-4_20] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Currently, there are still no early biomarkers to detect infants with risk of autism spectrum disorder (ASD), which is mainly diagnosed based on behavioral observations at three or four years of age. Since intervention efforts may miss a critical developmental window after 2 years old, it is clinically significant to identify imaging-based biomarkers at an early stage for better intervention, before behavioral diagnostic signs of ASD typically arising. Previous studies on older children and young adults with ASD demonstrate altered developmental trajectories of the amygdala and hippocampus. However, our knowledge on their developmental trajectories in early postnatal stages remains very limited. In this paper, for the first time, we propose a volume-based analysis of the amygdala and hippocampal subfields of the infant subjects with risk of ASD at 6, 12, and 24 months of age. To address the challenge of low tissue contrast and small structural size of infant amygdala and hippocampal subfields, we propose a novel deep-learning approach, dilated-dense U-Net, to digitally segment the amygdala and hippocampal subfields in a longitudinal dataset, the National Database for Autism Research (NDAR). A volume-based analysis is then performed based on the segmentation results. Our study shows that the overgrowth of amygdala and cornu ammonis sectors (CA) 1-3 May start from 6 months of age, which may be related to the emergence of autistic spectrum disorder.
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Affiliation(s)
- Guannan Li
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Meng-Hsiang Chen
- Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Gang Li
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Di Wu
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Chunfeng Lian
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Quansen Sun
- School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Dinggang Shen
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Li Wang
- Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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Sullivan EV, Pfefferbaum A. Brain-behavior relations and effects of aging and common comorbidities in alcohol use disorder: A review. Neuropsychology 2019; 33:760-780. [PMID: 31448945 PMCID: PMC7461729 DOI: 10.1037/neu0000557] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVE Alcohol use disorder (AUD) is a complex, dynamic condition that waxes and wanes with unhealthy drinking episodes and varies in drinking patterns and effects on brain structure and function with age. Its excessive use renders chronically heavy drinkers vulnerable to direct alcohol toxicity and a variety of comorbidities attributable to nonalcohol drug misuse, viral infections, and accelerated or premature aging. AUD affects widespread brain systems, commonly, frontolimbic, frontostriatal, and frontocerebellar networks. METHOD AND RESULTS Multimodal assessment using selective neuropsychological testing and whole-brain neuroimaging provides evidence for AUD-related specific brain structure-function relations established with double dissociations. Longitudinal study using noninvasive imaging provides evidence for brain structural and functional improvement with sustained sobriety and further decline with relapse. Functional imaging suggests the possibility that some alcoholics in recovery can compensate for impairment by invoking brain systems typically not used for a target task but that can enable normal-level performance. CONCLUSIONS Evidence for AUD-aging interactions, indicative of accelerated aging, together with increasing alcohol consumption in middle-age and older adults, put aging drinkers at special risk for developing cognitive decline and possibly dementia. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
- Edith V. Sullivan
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
| | - Adolf Pfefferbaum
- Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, CA
- Center for Health Sciences, SRI International, Menlo Park, CA
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46
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Gicas KM, Thornton AE, Waclawik K, Wang N, Jones AA, Panenka WJ, Lang DJ, Smith GN, Vila-Rodriguez F, Leonova O, Barr AM, Procyshyn RM, Buchanan T, Su W, Vertinsky AT, Rauscher A, MacEwan GW, Honer WG. Volumes of the Hippocampal Formation Differentiate Component Processes of Memory in a Community Sample of Homeless and Marginally Housed Persons. Arch Clin Neuropsychol 2019; 34:548-562. [PMID: 30407496 DOI: 10.1093/arclin/acy066] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/10/2018] [Accepted: 07/17/2018] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVE Persons who are homeless or marginally housed exhibit significant cognitive dysfunction, with memory being the most impaired domain. Hippocampal subfield volumes have been found to differentially relate to component processes of memory. The neural correlates of memory have not been previously examined in marginalized persons who are understudied and underserved. We examined whether hippocampal subfields and entorhinal cortex volumes are uniquely related to indices of verbal episodic memory using the Hopkins Verbal Learning Test - Revised. METHOD Data was used from a large sample of community dwelling homeless and marginally housed adults (N = 227). Regression analyses were conducted to examine hippocampal subfield volumes (CA1, CA3, CA4, dentate gyrus, subiculum) and entorhinal cortex, and their associations with measures of verbal immediate recall, learning slope, and verbal delayed recall. RESULTS Greater CA3 subfield volume was associated with better performance on an index of encoding (immediate recall), but only in older individuals. Greater CA1 and subiculum volumes were associated with better performance on immediate and delayed recall (measures that tap into retrieval processes), but not with learning slope (a more pure index of encoding). Entorhinal cortex volume was related to all components of memory beyond total hippocampal volume. CONCLUSIONS Our results suggest common neuroanatomical correlates of memory dysfunction in large sample of marginalized persons, and these are uniquely related to different components of memory. These findings have clinical relevance for marginalized populations and theoretical relevance to the growing literature on functional specialization of the hippocampal subfields.
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Affiliation(s)
- Kristina M Gicas
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Allen E Thornton
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | | | - Nena Wang
- Department of Psychology, Simon Fraser University, Burnaby, Canada
| | - Andrea A Jones
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William J Panenka
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Donna J Lang
- Department of Radiology, University of British Columbia, Vancouver, Canada
| | - Geoff N Smith
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Olga Leonova
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Alasdair M Barr
- Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia, Vancouver, Canada
| | - Ric M Procyshyn
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Tari Buchanan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - Wayne Su
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | | | - Alexander Rauscher
- Department of Paediatrics, University of British Columbia, Vancouver, Canada
| | - G William MacEwan
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
| | - William G Honer
- Department of Psychiatry, University of British Columbia, Vancouver, Canada
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Caldwell JZK, Berg JL, Shan G, Cummings JL, Banks SJ. Sex Moderates the Impact of Diagnosis and Amyloid PET Positivity on Hippocampal Subfield Volume. J Alzheimers Dis 2019; 64:79-89. [PMID: 29865063 PMCID: PMC6004904 DOI: 10.3233/jad-180028] [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] [Indexed: 01/11/2023]
Abstract
We examined moderation effects of sex and diagnosis on the effect of positive florbetapir positron emission tomography (PET) amyloid-β (Aβ) scan (A+) on hippocampus subfield volumes in 526 normal control (NC) and early mild cognitive impairment (eMCI) participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI2; ADNI-GO). Regression moderation models showed that women— but not men— with NC designation did not show reduced subiculum volumes despite A+. At the eMCI stage, A+ was detrimental across sexes. Findings were significant while accounting for the effects of age, cognition at screening, education, and APOE4 carrier status. These findings suggest that women with A+ have early neural resistance to Alzheimer’s disease-related amyloid burden.
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Affiliation(s)
| | - Jody-Lynn Berg
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Guogen Shan
- University of Nevada Las Vegas, School of Community Health Sciences, Las Vegas, NV, USA
| | | | - Sarah J Banks
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
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Ogawa M, Sone D, Beheshti I, Maikusa N, Okita K, Takano H, Matsuda H. Association between subfield volumes of the medial temporal lobe and cognitive assessments. Heliyon 2019; 5:e01828. [PMID: 31194147 PMCID: PMC6551380 DOI: 10.1016/j.heliyon.2019.e01828] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 04/01/2019] [Accepted: 05/23/2019] [Indexed: 12/23/2022] Open
Abstract
Cognitive assessments and neuroimaging are routinely combined in clinical practice to diagnose dementia represented by Alzheimer's disease (AD). The Montreal Cognitive Assessment (MoCA) is reported to be more suitable than the Mini-Mental State Examination (MMSE) for screening mild cognitive impairment (MCI) and mild AD. On the other hand, attention to the subfield volumes of the medial temporal lobe has recently been considered important for the differential diagnosis and early detection of AD. The aim of this study was to uncover which specific hippocampal subfields and adjacent extrahippocampal structures contribute to deficits in cognitive assessment scores in patients with MCI and AD. We recruited from our institute 31 Japanese patients—14 with amnestic MCI and 17 with probable AD, with a clinical dementia rating (CDR) of 0.5 and 1, respectively—and 50 healthy elderly individuals with a CDR of 0. All participants underwent magnetic resonance imaging and cognitive assessments with the MMSE, Wechsler Memory Scale-Revised Logical Memory I and II, and Japanese version of the MoCA (MoCA-J). With adjustment for age and sex, we performed partial correlation analysis of the cognitive assessment scores with the subfield volumes of the medial temporal lobe measured by software-mediated automatic segmentation of hippocampal subfields using high-resolution T1-and T2-weighted images. Compared with normal controls, patients with MCI and AD showed subfield volume reductions in cornu ammonis (CA) 1, CA2, Brodmann area (BA) 35, BA36, the dentate gyrus (DG), the subiculum, and the entorhinal cortex (ERC). All participants showed high correlation coefficients (above 0.6) between cognitive assessment scores and subfield volumes in CA1, the DG, the subiculum, the ERC, and BA36. In patients with MCI and AD, the MoCA-J showed higher correlations than the MMSE with subfield volumes in CA1, the DG, the subiculum, and the ERC. These results suggest that the combination of the in vivo analysis of subfield morphometry of the medial temporal lobe with the MoCA-J paradigm provides important insights into whether changes within specific subfields are related to the cognitive profile in MCI and AD.
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Affiliation(s)
- Masayo Ogawa
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Daichi Sone
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Iman Beheshti
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Norihide Maikusa
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Kyoji Okita
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Harumasa Takano
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
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Jeon S, Hwang SI, Son YD, Kim YB, Lee YJ, Kim SJ. Association between delayed recall and T2* relaxation time of the subiculum in adolescents: Implications for ultra-high-field magnetic resonance imaging. Psychiatry Clin Neurosci 2019; 73:340-346. [PMID: 30927296 DOI: 10.1111/pcn.12843] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 01/30/2019] [Accepted: 03/27/2019] [Indexed: 11/28/2022]
Abstract
AIM The aim of this study was to assess neuropsychological correlations with the T2* relaxation time (T2*-RT) of hippocampal subregions in adolescents using ultra-high-field (UHF) 7.0-T magnetic resonance imaging (MRI). METHODS We assessed the T2*-RT of hippocampal subregions in 31 healthy 11th- or 12th-grade high school students using an UHF 7.0-T MRI system. T2*-RT of the cornu ammonis (CA) 1, CA2, CA3, and CA4 subregions and the subiculum were calculated for both the left and right hippocampus. Seven subtests of the Cambridge Neuropsychological Test Automated Battery were administered to the subjects to assess visuospatial memory. RESULTS Poor performances in delayed recall in the pattern-recognition test were significantly correlated with longer T2*-RT in the bilateral subiculum (right, r = -0.480, P = 0.006; left, r = -0.648, P < 0.001) and the left CA2 (r = -0.480, P = 0.006). CONCLUSION This study showed that longer T2*-RT in the subiculum were associated with poorer performances in delayed recall in the visual memory tasks. This finding suggests that the subiculum might play a predominant role in delayed recall in adolescents.
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Affiliation(s)
- Sehyun Jeon
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
| | - Seok-Il Hwang
- Department of Bioengineering, Gachon University of Medicine and Science, Incheon, Republic of Korea
| | - Young Don Son
- Department of Bioengineering, Gachon University of Medicine and Science, Incheon, Republic of Korea
| | - Young-Bo Kim
- Department of Bioengineering, Gachon University of Medicine and Science, Incheon, Republic of Korea.,Department of Neurosurgery, Gachon University of Medicine and Science, Incheon, Republic of Korea
| | - Yu Jin Lee
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seog Ju Kim
- Department of Psychiatry, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Republic of Korea
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Aanes S, Bjuland KJ, Sripada K, Sølsnes AE, Grunewaldt KH, Håberg A, Løhaugen GC, Skranes J. Reduced hippocampal subfield volumes and memory function in school-aged children born preterm with very low birthweight (VLBW). Neuroimage Clin 2019; 23:101857. [PMID: 31136968 PMCID: PMC6536855 DOI: 10.1016/j.nicl.2019.101857] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 05/07/2019] [Accepted: 05/09/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND The hippocampus, an essential structure for learning and memory, has a reduced volume in preterm born (gestational age < 37 weeks) individuals with very low birth weight (VLBW: birth weight < 1500 g), which may affect memory function. However, the hippocampus is a complex structure with distinct subfields related to specific memory functions. These subfields are differentially affected by a variety of neuropathological conditions, but it remains unclear how these subfields may be affected by medical complications following preterm birth which may cause aberrant brain development, and the consequences of this on learning and memory function in children with VLBW. METHODS Children born preterm with VLBW (n = 34) and term-born controls from the Norwegian Mother and Child Cohort Study (MoBa) (n = 104) underwent structural MRI and a neuropsychological assessment of memory function at primary school age. FreeSurfer 6.0 was used to analyze the volumes of hippocampal subfields which were compared between groups, as was memory performance. Correlations between abnormal hippocampal subfields and memory performance were explored in the VLBW group. RESULTS All absolute hippocampal subfield volumes were lower in the children with VLBW compared to MoBa term-born controls, and the volumes of the left and right dentate gyrus and the right subiculum remained significantly lower after correcting for total intracranial volume. The VLBW group had inferior working memory performance and the score on the subtest Spatial Span backwards was positively correlated to the volume of the right dentate gyrus. CONCLUSIONS Hippocampal subfield volumes seem to be differently affected by early brain development related to preterm birth. The dentate gyrus appears particularly susceptible to adverse effects of preterm birth. Reduced working memory function among children with VLBW was associated with smaller volume of right dentate gyrus. This finding demonstrates alterations in hippocampal structure-function relationships associated with early brain development related to preterm birth.
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Affiliation(s)
- Synne Aanes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway.
| | | | - Kam Sripada
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway
| | - Anne Elisabeth Sølsnes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway
| | - Kristine H Grunewaldt
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway; Department of Pediatrics, St Olav University Hospital, Trondheim, Norway
| | - Asta Håberg
- Department of Neuromedicine and Movement Science, Norwegian University of Science & Technology, Trondheim, Norway
| | - Gro C Løhaugen
- Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
| | - Jon Skranes
- Department of Clinical and Molecular Medicine, Norwegian University of Science & Technology, Trondheim, Norway; Department of Pediatrics, Sørlandet Hospital, Arendal, Norway
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