1
|
Freus NK, Wank I, Häfele M, Kalinichenko LS, Müller CP, Strobelt S, Ludwig A, Hess A, Kreitz S. Pharmacological and resting state fMRI reveal Osteocalcin's effects on mouse brain regions with high Gpr37 and Gpr158 expression. Sci Rep 2025; 15:10116. [PMID: 40128223 PMCID: PMC11933355 DOI: 10.1038/s41598-025-95000-2] [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: 12/20/2024] [Accepted: 03/18/2025] [Indexed: 03/26/2025] Open
Abstract
Osteocalcin (OCN) is an endocrine hormone that signals in the periphery, regulating male fertility, energy expenditure and glucose homeostasis. It can also cross the blood-brain-barrier and act on the brain via receptors GPR37 and GPR158. In the brain, OCN influences neurotransmitter synthesis of serotonin, norepinephrine, and dopamine. OCN's function is related to cognitive and memory performance and lack of OCN is associated with anxiety and depression-like behavior in mice. We used multiparametric magnetic resonance imaging (MRI) including pharmacological MRI and resting state functional MRI, along with gene expression data for Gpr37 and Gpr158 to investigate the physiological effects of intravenously administered OCN on the wild type mouse brain. We found four core brain regions (brainstem, limbic output, association cortex, and basal ganglia) that are highly relevant in all three analytical modalities (i.e. pharmacological, resting state MRI and gene expression) and play therefore a major role in mediating OCN's effect in the brain. This study provides the first imaging data of the physiological impact of OCN on the mouse brain, suggesting its potential role in modulating brain function and its relevance as a candidate for further investigation in anxiety, depression, and cognitive impairments.
Collapse
Affiliation(s)
- Natalia K Freus
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
| | - Isabel Wank
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
| | - Maximilian Häfele
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
| | - Liubov S Kalinichenko
- Department of Psychiatry and Psychotherapy, University Hospital, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Christian P Müller
- Department of Psychiatry and Psychotherapy, University Hospital, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
- Central Institute for Mental Health, J5, 68159, Mannheim, Germany
| | - Sandra Strobelt
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
| | - Andreas Ludwig
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
- FAU NeW - Research Center for New Bioactive Compounds, Friedrich-Alexander- University Erlangen-Nuremberg, Erlangen, Germany
| | - Andreas Hess
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany
- Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
- FAU NeW - Research Center for New Bioactive Compounds, Friedrich-Alexander- University Erlangen-Nuremberg, Erlangen, Germany
| | - Silke Kreitz
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-University Erlangen-Nuremberg, Fahrstraße 17, 91054, Erlangen, Germany.
- Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany.
| |
Collapse
|
2
|
St Laurent CW, Lokhandwala S, Allard T, Ji A, Paluch A, Riggins T, Spencer RMC. Relations between 24-h movement behaviors, declarative memory, and hippocampal volume in early childhood. Sci Rep 2025; 15:9205. [PMID: 40097472 PMCID: PMC11914694 DOI: 10.1038/s41598-025-92932-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Accepted: 03/04/2025] [Indexed: 03/19/2025] Open
Abstract
This study aimed to determine if 24-h movement behaviors (sedentary time, physical activity, and sleep), considered independently and together, were associated with declarative memory and hippocampal volume in late early childhood. Observational data were obtained from preschool-aged children (timepoint 1: n = 35 children, 3.9 ± 0.5 years; 6 months later: n = 28 children, 4.5 ± 0.5 years). Movement behaviors were measured with actigraphy. Outcomes were declarative memory and hippocampal subregion volumes. Multilevel models explored movement behaviors independently as absolute values, and with both absolute total activity, 24-h sleep duration, and night sleep efficiency. Movement behaviors were also explored as compositions in linear regression models. In independent models, sleep duration and moderate to vigorous physical activity were positively associated with total and right hippocampal volumes, respectively. When examined together, children meeting sleep recommendations were more likely to have larger total, right and left hemisphere, body, and tail hippocampal volumes. In our sample of preschool children, we observed positive associations between sleep duration and hippocampal volume, independent of age. To improve our understanding of the connections between 24-h behaviors and brain health in early childhood, larger samples that also consider the context and subcomponents of movement behaviors may be warranted.
Collapse
Affiliation(s)
- Christine W St Laurent
- Department of Kinesiology, University of Massachusetts Amherst, 30 Eastman Lane, Amherst, MA, 01003, USA.
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, USA.
| | - Sanna Lokhandwala
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, USA
| | - Tamara Allard
- Department of Psychology, University of Maryland College Park, College Park, USA
| | - Angela Ji
- Department of Psychology, University of Maryland College Park, College Park, USA
- Department of Graduate Psychology, James Madison University, Harrisonburg, USA
| | - Amanda Paluch
- Department of Kinesiology, University of Massachusetts Amherst, 30 Eastman Lane, Amherst, MA, 01003, USA
- Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, USA
| | - Tracy Riggins
- Department of Psychology, University of Maryland College Park, College Park, USA
| | - Rebecca M C Spencer
- Department of Psychological and Brain Sciences, University of Massachusetts Amherst, Amherst, USA
- Institute for Applied Life Sciences, University of Massachusetts Amherst, Amherst, USA
| |
Collapse
|
3
|
Lewis DV, Voyvodic J, Shinnar S, Chan S, Bello JA, Moshé SL, Nordli DR, Frank LM, Pellock JM, Hesdorffer DC, Xu Y, Shinnar RC, Seinfeld S, Epstein LG, Masur D, Gallentine W, Weiss E, Deng X, Sun S. Hippocampal sclerosis and temporal lobe epilepsy following febrile status epilepticus: The FEBSTAT study. Epilepsia 2024; 65:1568-1580. [PMID: 38606600 PMCID: PMC11166525 DOI: 10.1111/epi.17979] [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: 11/18/2023] [Revised: 03/28/2024] [Accepted: 03/28/2024] [Indexed: 04/13/2024]
Abstract
OBJECTIVE This study was undertaken to determine whether hippocampal T2 hyperintensity predicts sequelae of febrile status epilepticus, including hippocampal atrophy, sclerosis, and mesial temporal lobe epilepsy. METHODS Acute magnetic resonance imaging (MRI) was obtained within a mean of 4.4 (SD = 5.5, median = 2.0) days after febrile status on >200 infants with follow-up MRI at approximately 1, 5, and 10 years. Hippocampal size, morphology, and T2 signal intensity were scored visually by neuroradiologists blinded to clinical details. Hippocampal volumetry provided quantitative measurement. Upon the occurrence of two or more unprovoked seizures, subjects were reassessed for epilepsy. Hippocampal volumes were normalized using total brain volumes. RESULTS Fourteen of 22 subjects with acute hippocampal T2 hyperintensity returned for follow-up MRI, and 10 developed definite hippocampal sclerosis, which persisted through the 10-year follow-up. Hippocampi appearing normal initially remained normal on visual inspection. However, in subjects with normal-appearing hippocampi, volumetrics indicated that male, but not female, hippocampi were smaller than controls, but increasing hippocampal asymmetry was not seen following febrile status. Forty-four subjects developed epilepsy; six developed mesial temporal lobe epilepsy and, of the six, two had definite, two had equivocal, and two had no hippocampal sclerosis. Only one subject developed mesial temporal epilepsy without initial hyperintensity, and that subject had hippocampal malrotation. Ten-year cumulative incidence of all types of epilepsy, including mesial temporal epilepsy, was highest in subjects with initial T2 hyperintensity and lowest in those with normal signal and no other brain abnormalities. SIGNIFICANCE Hippocampal T2 hyperintensity following febrile status epilepticus predicted hippocampal sclerosis and significant likelihood of mesial temporal lobe epilepsy. Normal hippocampal appearance in the acute postictal MRI was followed by maintained normal appearance, symmetric growth, and lower risk of epilepsy. Volumetric measurement detected mildly decreased hippocampal volume in males with febrile status.
Collapse
Affiliation(s)
- Darrell V. Lewis
- Department of Pediatrics (Neurology), Duke University Medical Center, Durham, NC
| | - James Voyvodic
- Department of Radiology, Duke University Medical Center, Durham, NC
| | - Shlomo Shinnar
- Isabelle Rapin Division of Child Neurology, Saul R. Korey Department of Neurology and Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Stephen Chan
- Department of Radiology, Harlem Hospital Center, Columbia University, New York, NY
| | - Jacqueline A. Bello
- Department of Radiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Solomon L. Moshé
- Isabelle Rapin Division of Child Neurology, Saul R. Korey Department of Neurology and Departments of Neuroscience and Pediatrics, Albert Einstein College of Medicine, and Montefiore Medical Center, Bronx, NY
| | - Douglas R. Nordli
- Department of Pediatrics, Section of Child Neurology, University of Chicago, Chicago, IL
| | - L. Matthew Frank
- Department of Neurology, Children’s Hospital of the King’s Daughters and Eastern Virginia Medical School, Norfolk, VA
| | - John M. Pellock
- Department of Neurology, Medical College of Virginia, Virginia Commonwealth University, Richmond, VA
| | - Dale C. Hesdorffer
- Department of Epidemiology, G. H. Sergievsky Center, Columbia University, New York, NY
| | - Yuan Xu
- Department of Pediatrics (Neurology), Duke University Medical Center, Durham, NC
| | - Ruth C. Shinnar
- Isabelle Rapin Division of Child Neurology, Saul R. Korey Department of Neurology and Department of Pediatrics, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Syndi Seinfeld
- Pediatric Epilepsy Program, Joe DiMaggio Children’s Hospital, Hollywood, FL
| | - Leon G. Epstein
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
| | - David Masur
- Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | | | - Erica Weiss
- Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY
| | - Xiaoyan Deng
- Biostatistics and International Epilepsy Consortium, Virginia Commonwealth University, Richmond, VA
| | - Shumei Sun
- Biostatistics and International Epilepsy Consortium, Virginia Commonwealth University, Richmond, VA
| | | |
Collapse
|
4
|
Xu W, Ren L, Hao X, Shi D, Ma Y, Hu Y, Xie L, Geng F. The brain markers of creativity measured by divergent thinking in childhood: Hippocampal volume and functional connectivity. Neuroimage 2024; 291:120586. [PMID: 38548039 DOI: 10.1016/j.neuroimage.2024.120586] [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: 08/23/2023] [Revised: 03/21/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024] Open
Abstract
Creativity, a high-order cognitive ability, has received wide attention from researchers and educators who are dedicated to promoting its development throughout one's lifespan. Currently, creativity is commonly assessed with divergent thinking tasks, such as the Alternative Uses Task. Recent advancements in neuroimaging techniques have enabled the identification of brain markers for high-order cognitive abilities. One such brain structure of interest in this regard is the hippocampus, which has been found to play an important role in generating creative thoughts in adulthood. However, such role of the hippocampus in childhood is not clear. Thus, this study aimed to investigate the associations between creativity, as measured by divergent thinking, and both the volume of the hippocampus and its resting-state functional connectivity in 116 children aged 8-12 years. The results indicate significant relations between divergent thinking and the volume of the hippocampal head and the hippocampal tail, as well as the volume of a subfield comprising cornu ammonis 2-4 and dentate gyrus within the hippocampal body. Additionally, divergent thinking was significantly related to the differences between the anterior and the posterior hippocampus in their functional connectivity to other brain regions during rest. These results suggest that these two subregions may collaborate with different brain regions to support diverse cognitive processes involved in the generation of creative thoughts. In summary, these findings indicate that divergent thinking is significantly related to the structural and functional characteristics of the hippocampus, offering potential insights into the brain markers for creativity during the developmental stage.
Collapse
Affiliation(s)
- Wenwen Xu
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Liyuan Ren
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Xiaoxin Hao
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Donglin Shi
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Yupu Ma
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China
| | - Yuzheng Hu
- Department of Psychology and Behavioral Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310028, China
| | - Long Xie
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Fengji Geng
- Department of Curriculum and Learning Sciences, Zijingang Campus, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China; National Clinical Research Center for Child Health, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
| |
Collapse
|
5
|
Green REA, Dabek MK, Changoor A, Rybkina J, Monette GA, Colella B. Moderate-Severe TBI as a Progressive Disorder: Patterns and Predictors of Cognitive Declines in the Chronic Stages of Injury. Neurorehabil Neural Repair 2023; 37:799-809. [PMID: 37990972 DOI: 10.1177/15459683231212861] [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: 11/23/2023]
Abstract
BACKGROUND Moderate-severe traumatic brain injury (TBI) has been associated with progressive cognitive decline in the chronic injury stages in a small number of studies. OBJECTIVE This study aimed to (i) replicate our previous findings of decline from 1 to 3+ years post-injury in a larger, non-overlapping sample and (ii) extend these findings by examining the proportion of decliners in 2 earlier time windows, and by investigating novel predictors of decline. METHODS N = 48 patients with moderate-severe TBI underwent neuropsychological assessment at 2, 5, 12 months, and 30+ months post-injury. We employed the Reliable Change Index (RCI) to evaluate decline, stability and improvement across time and logistic regression to identify predictors of decline (demographic/cognitive reserve; injury-related). RESULTS The proportions of patients showing decline were: 12.5% (2-5 months post-injury), 17% (5-12 months post-injury), and 27% (12-30+ months post-injury). Measures of verbal retrieval were most sensitive to decline. Of the predictors, only left progressive hippocampal volume loss from 5 to 12 months post-injury significantly predicted cognitive decline from 12 to 30+ months post-injury. CONCLUSIONS Identical to our previous study, 27% of patients declined from 12 to 30+ months post-injury. Additionally, we found that the further from injury, the greater the proportion of patients declining. Importantly, earlier progressive hippocampal volume loss predicted later cognitive decline. Taken together, the findings highlight the need for ongoing research and treatment that target these deleterious mechanisms affecting patients in the chronic stages of moderate-severe TBI.
Collapse
Affiliation(s)
- Robin E A Green
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- University of Toronto, Toronto, ON, Canada
| | - Marika K Dabek
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Alana Changoor
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | - Julia Rybkina
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| | | | - Brenda Colella
- Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
| |
Collapse
|
6
|
Wilkes FA, Jakabek D, Walterfang M, Velakoulis D, Poudel GR, Stout JC, Chua P, Egan GF, Looi JCL, Georgiou-Karistianis N. Hippocampal morphology in Huntington's disease, implications for plasticity and pathogenesis: The IMAGE-HD study. Psychiatry Res Neuroimaging 2023; 335:111694. [PMID: 37598529 DOI: 10.1016/j.pscychresns.2023.111694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 06/10/2023] [Accepted: 07/26/2023] [Indexed: 08/22/2023]
Abstract
While striatal changes in Huntington's Disease (HD) are well established, few studies have investigated changes in the hippocampus, a key neuronal hub. Using MRI scans obtained from the IMAGE-HD study, hippocampi were manually traced and then analysed with the Spherical Harmonic Point Distribution Method (SPHARM-PDM) in 36 individuals with presymptomatic-HD, 37 with early symptomatic-HD, and 36 healthy matched controls. There were no significant differences in overall hippocampal volume between groups. Interestingly we found decreased bilateral hippocampal volume in people with symptomatic-HD who took selective serotonin reuptake inhibitors compared to those who did not, despite no significant differences in anxiety, depressive symptoms, or motor incapacity between the two groups. In symptomatic-HD, there was also significant shape deflation in the right hippocampal head, showing the utility of using manual tracing and SPHARM-PDM to characterise subtle shape changes which may be missed by other methods. This study confirms previous findings of the lack of hippocampal volumetric differentiation in presymptomatic-HD and symptomatic-HD compared to controls. We also find novel shape and volume findings in those with symptomatic-HD, especially in relation to decreased hippocampal volume in those treated with SSRIs.
Collapse
Affiliation(s)
- Fiona A Wilkes
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia.
| | | | - Mark Walterfang
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Dennis Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Melbourne Neuropsychiatry Centre, University of Melbourne and Northwestern Mental Health, Melbourne, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia
| | - Govinda R Poudel
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia
| | - Julie C Stout
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Phyllis Chua
- Department of Psychiatry, School of Clinical Sciences, Monash University, Monash Medical Centre, Melbourne, Australia
| | - Gary F Egan
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| | - Jeffrey C L Looi
- Research Centre for the Neurosciences of Ageing, Academic Unit of Psychiatry and Addiction Medicine, Australian National University Medical School, Canberra Hospital, Canberra, Australia; Neuroscience Research Australia, Sydney, Australia
| | - Nellie Georgiou-Karistianis
- School of Psychological Sciences and the Turner Institute of Brain and Mental Health, Monash University, Melbourne, Australia
| |
Collapse
|
7
|
Kahhale I, Buser NJ, Madan CR, Hanson JL. Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer. Brain Inform 2023; 10:9. [PMID: 37029203 PMCID: PMC10082143 DOI: 10.1186/s40708-023-00189-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/24/2023] [Indexed: 04/09/2023] Open
Abstract
On-going, large-scale neuroimaging initiatives can aid in uncovering neurobiological causes and correlates of poor mental health, disease pathology, and many other important conditions. As projects grow in scale with hundreds, even thousands, of individual participants and scans collected, quantification of brain structures by automated algorithms is becoming the only truly tractable approach. Here, we assessed the spatial and numerical reliability for newly deployed automated segmentation of hippocampal subfields and amygdala nuclei in FreeSurfer 7. In a sample of participants with repeated structural imaging scans (N = 928), we found numerical reliability (as assessed by intraclass correlations, ICCs) was reasonable. Approximately 95% of hippocampal subfields had "excellent" numerical reliability (ICCs ≥ 0.90), while only 67% of amygdala subnuclei met this same threshold. In terms of spatial reliability, 58% of hippocampal subfields and 44% of amygdala subnuclei had Dice coefficients ≥ 0.70. Notably, multiple regions had poor numerical and/or spatial reliability. We also examined correlations between spatial reliability and person-level factors (e.g., participant age; T1 image quality). Both sex and image scan quality were related to variations in spatial reliability metrics. Examined collectively, our work suggests caution should be exercised for a few hippocampal subfields and amygdala nuclei with more variable reliability.
Collapse
|
8
|
Peterson BS, Kaur T, Sawardekar S, Colibazzi T, Hao X, Wexler BE, Bansal R. Aberrant hippocampus and amygdala morphology associated with cognitive deficits in schizophrenia. Front Cell Neurosci 2023; 17:1126577. [PMID: 36909281 PMCID: PMC9996667 DOI: 10.3389/fncel.2023.1126577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Background Working memory deficits are thought to be a primary disturbance in schizophrenia. We aimed to identify differences in morphology of the hippocampus and amygdala in patients with schizophrenia compared with healthy controls (HCs), and in patients who were either neuropsychologically near normal (NPNN) or neuropsychologically impaired (NPI). Morphological disturbances in the same subfields of the hippocampus and amygdala, but of greater magnitude in those with NPI, would strengthen evidence for the centrality of these limbic regions and working memory deficits in the pathogenesis of schizophrenia. Methods We acquired anatomical MRIs in 69 patients with schizophrenia (18 NPNN, 46 NPI) and 63 age-matched HC participants. We compared groups in hippocampus and amygdala surface morphologies and correlated morphological measures with clinical symptoms and working memory scores. Results Schizophrenia was associated with inward deformations of the head and tail of the hippocampus, protrusion of the hippocampal body, and widespread inward deformations of the amygdala. In the same regions where we detected the effects of schizophrenia, morphological measures correlated positively with the severity of symptoms and inversely with working memory performance. Patients with NPI displayed a similar pattern of anatomical abnormality compared to patients with NPNN. Conclusion Our findings indicate that anatomical abnormalities of the hippocampus relate to working memory performance and clinical symptoms in persons with schizophrenia. Moreover, NPNN and NPI patients may lie on a continuum of severity, both in terms of working memory abilities and altered brain structure, with NPI patients being more severe than NPNN patients in both domains.
Collapse
Affiliation(s)
- Bradley S. Peterson
- Children’s Hospital Los Angeles, Department of Psychiatry at the Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- *Correspondence: Bradley S. Peterson,
| | - Tejal Kaur
- Department of Psychiatry, Columbia College of Physicians and Surgeons, New York, NY, United States
| | - Siddhant Sawardekar
- Children’s Hospital Los Angeles, Department of Psychiatry at the Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Tiziano Colibazzi
- Department of Psychiatry, Columbia College of Physicians and Surgeons, New York, NY, United States
| | - Xuejun Hao
- Department of Psychiatry, Columbia College of Physicians and Surgeons, New York, NY, United States
| | - Bruce E. Wexler
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, United States
| | - Ravi Bansal
- Children’s Hospital Los Angeles, Department of Psychiatry at the Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| |
Collapse
|
9
|
Sarigedik E, Naldemir IF, Karaman AK, Altinsoy HB. Intergenerational transmission of psychological trauma: A structural neuroimaging study. Psychiatry Res Neuroimaging 2022; 326:111538. [PMID: 36113385 DOI: 10.1016/j.pscychresns.2022.111538] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 07/29/2022] [Accepted: 08/31/2022] [Indexed: 11/26/2022]
Abstract
Traumatic events have an important effect in human life and may lead to psychopathological disturbances by affecting the personal and social lives of individuals. Recently, various studies have been reported in the literature showing that the traumatic experiences may be associated with intergenerational psychopathologies. However, there is limited data regarding the neuroimaging studies investigating changes in brain structures in children of traumatized mothers. In this study, we aimed to investigate the potential changes in the hippocampus and amygdala volumes in the children of mothers exposed to mass trauma. The traumatic event experienced by the mothers was the two devastating earthquakes they experienced when they were teenagers. Hippocampus and amygdala volumes were evaluated in magnetic resonance imaging of 40 children whose mothers were exposed to earthquakes and 27 children in control group. Bilateral amygdala volumes were significantly smaller in the children of mothers exposed to earthquake compared to the control group. In addition, right amygdala and hippocampus volumes were smaller in children of mothers exposed to earthquakes than left. This is one of the pioneering neuroimaging studies on the intergenerational transmission of trauma. Our study shows that there may be a potential relationship between intergenerational trauma and various brain structures.
Collapse
Affiliation(s)
- Enes Sarigedik
- Department of Child and Adolescent Psychiatry, Sakarya University, Sakarya, Turkey
| | | | - Ahmet Kursat Karaman
- Department of Radiology, Sureyyapasa Chest Diseases and Thoracic Surgery Training Hospital, Istanbul, Turkey
| | - Hasan Baki Altinsoy
- Department of Radiology, Duzce University, Faculty of Medicine, Duzce, Turkey
| |
Collapse
|
10
|
Morphological Biomarkers in the Amygdala and Hippocampus of Children and Adults at High Familial Risk for Depression. Diagnostics (Basel) 2022; 12:diagnostics12051218. [PMID: 35626374 PMCID: PMC9141256 DOI: 10.3390/diagnostics12051218] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Revised: 04/24/2022] [Accepted: 04/26/2022] [Indexed: 02/01/2023] Open
Abstract
Major Depressive Disorder (MDD) is highly familial, and the hippocampus and amygdala are important in the pathophysiology of MDD. Whether morphological markers of risk for familial depression are present in the hippocampus or amygdala is unknown. We imaged the brains of 148 individuals, aged 6 to 54 years, who were members of a three-generation family cohort study and who were at either high or low familial risk for MDD. We compared surface morphological features of the hippocampus and amygdala across risk groups and assessed their associations with depression severity. High- compared with low-risk individuals had inward deformations of the head of both hippocampi and the medial surface of the left amygdala. The hippocampus findings persisted in analyses that included only those participants who had never had MDD, suggesting that these are true endophenotypic biomarkers for familial MDD. Posterior extension of the inward deformations was associated with more severe depressive symptoms, suggesting that a greater spatial extent of this biomarker may contribute to the transition from risk to the overt expression of symptoms. Significant associations of these biomarkers with corresponding biomarkers for cortical thickness suggest that these markers are components of a distributed cortico-limbic network of familial vulnerability to MDD.
Collapse
|
11
|
Choudhury A, Samanta S, Pratihar S, Bandyopadhyay O. Multilevel segmentation of Hippocampus images using global steered quantum inspired firefly algorithm. APPL INTELL 2022. [DOI: 10.1007/s10489-021-02688-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
12
|
Zachlod D, Kedo O, Amunts K. Anatomy of the temporal lobe: From macro to micro. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:17-51. [PMID: 35964970 DOI: 10.1016/b978-0-12-823493-8.00009-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The temporal cortex encompasses a large number of different areas ranging from the six-layered isocortex to the allocortex. The areas support auditory, visual, and language processing, as well as emotions and memory. The primary auditory cortex is found at the Heschl gyri, which develop early in ontogeny with the Sylvian fissure, a deep and characteristic fissure that separates the temporal lobe from the parietal and frontal lobes. Gyri and sulci as well as brain areas vary between brains and between hemispheres, partly linked to the functional organization of language and lateralization. Interindividual variability in anatomy makes a direct comparison between different brains in structure-functional analysis often challenging, but can be addressed by applying cytoarchitectonic probability maps of the Julich-Brain atlas. We review the macroanatomy of the temporal lobe, its variability and asymmetry at the macro- and the microlevel, discuss the relationship to brain areas and their microstructure, and emphasize the advantage of a multimodal approach to address temporal lobe organization. We review recent data on combined cytoarchitectonic and molecular architectonic studies of temporal areas, and provide links to their function.
Collapse
Affiliation(s)
- Daniel Zachlod
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany
| | - Olga Kedo
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany
| | - Katrin Amunts
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany; C&O Vogt Institute for Brain Research, University Hospital Düsseldorf, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
| |
Collapse
|
13
|
Quek YE, Fung YL, Cheung MWL, Vogrin SJ, Collins SJ, Bowden SC. Agreement Between Automated and Manual MRI Volumetry in Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Magn Reson Imaging 2021; 56:490-507. [PMID: 34964531 DOI: 10.1002/jmri.28037] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Automated magnetic resonance imaging (MRI) volumetry is a promising tool to evaluate regional brain volumes in dementia and especially Alzheimer's disease (AD). PURPOSE To compare automated methods and the gold standard manual segmentation in measuring regional brain volumes on MRI across healthy controls, patients with mild cognitive impairment, and patients with dementia due to AD. STUDY TYPE Systematic review and meta-analysis. DATA SOURCES MEDLINE, Embase, and PsycINFO were searched through October 2021. FIELD STRENGTH 1.0 T, 1.5 T, or 3.0 T. ASSESSMENT Two review authors independently identified studies for inclusion and extracted data. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). STATISTICAL TESTS Standardized mean differences (SMD; Hedges' g) were pooled using random-effects meta-analysis with robust variance estimation. Subgroup analyses were undertaken to explore potential sources of heterogeneity. Sensitivity analyses were conducted to examine the impact of the within-study correlation between effect estimates on the meta-analysis results. RESULTS Seventeen studies provided sufficient data to evaluate the hippocampus, lateral ventricles, and parahippocampal gyrus. The pooled SMD for the hippocampus, lateral ventricles, and parahippocampal gyrus were 0.22 (95% CI -0.50 to 0.93), 0.12 (95% CI -0.13 to 0.37), and -0.48 (95% CI -1.37 to 0.41), respectively. For the hippocampal data, subgroup analyses suggested that the pooled SMD was invariant across clinical diagnosis and field strength. Subgroup analyses could not be conducted on the lateral ventricles data and the parahippocampal gyrus data due to insufficient data. The results were robust to the selected within-study correlation value. DATA CONCLUSION While automated methods are generally comparable to manual segmentation for measuring hippocampal, lateral ventricle, and parahippocampal gyrus volumes, wide 95% CIs and large heterogeneity suggest that there is substantial uncontrolled variance. Thus, automated methods may be used to measure these regions in patients with AD but should be used with caution. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 3.
Collapse
Affiliation(s)
- Yi-En Quek
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Yi Leng Fung
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Mike W-L Cheung
- Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore
| | - Simon J Vogrin
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Steven J Collins
- Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| | - Stephen C Bowden
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia.,Department of Clinical Neurosciences, St Vincent's Hospital Melbourne, Fitzroy, Victoria, Australia
| |
Collapse
|
14
|
Zhou Q, Liu S, Jiang C, He Y, Zuo XN. Charting the human amygdala development across childhood and adolescence: Manual and automatic segmentation. Dev Cogn Neurosci 2021; 52:101028. [PMID: 34749182 PMCID: PMC8578043 DOI: 10.1016/j.dcn.2021.101028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 08/20/2021] [Accepted: 10/19/2021] [Indexed: 11/25/2022] Open
Abstract
The developmental pattern of the amygdala throughout childhood and adolescence has been inconsistently reported in previous neuroimaging studies. Given the relatively small size of the amygdala on full brain MRI scans, discrepancies may be partly due to methodological differences in amygdalar segmentation. To investigate the impact of volume extraction methods on amygdala volume, we compared FreeSurfer, FSL and volBrain segmentation measurements with those obtained by manual tracing. The manual tracing method, which we used as the 'gold standard', exhibited almost perfect intra- and inter-rater reliability. We observed systematic differences in amygdala volumes between automatic (FreeSurfer and volBrain) and manual methods. Specifically, compared with the manual tracing, FreeSurfer estimated larger amygdalae, and volBrain produced smaller amygdalae while FSL demonstrated a mixed pattern. The tracing bias was not uniform, but higher for smaller amygdalae. We further modeled amygdalar growth curves using accelerated longitudinal cohort data from the Chinese Color Nest Project (http://deepneuro.bnu.edu.cn/?p=163). Trajectory modeling and statistical assessments of the manually traced amygdalae revealed linearly increasing and parallel developmental patterns for both girls and boys, although the amygdalae of boys were larger than those of girls. Compared to these trajectories, the shapes of developmental curves were similar when using the volBrain derived volumes. FreeSurfer derived trajectories had more nonlinearities and appeared flatter. FSL derived trajectories demonstrated an inverted U shape and were significantly different from those derived from manual tracing method. The use of amygdala volumes adjusted for total gray-matter volumes, but not intracranial volumes, resolved the shape discrepancies and led to reproducible growth curves between manual tracing and the automatic methods (except FSL). Our findings revealed steady growth of the human amygdala, mirroring its functional development across the school age. Methodological improvements are warranted for current automatic tools to achieve more accurate amygdala structure at school age, calling for next generation tools.
Collapse
Affiliation(s)
- Quan Zhou
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siman Liu
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Chao Jiang
- School of Psychology, Capital Normal University, Beijing, 100048, China
| | - Ye He
- School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, 100876, China
| | - Xi-Nian Zuo
- Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China; National Basic Science Data Center, Beijing, 100190, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China.
| |
Collapse
|
15
|
Glikmann-Johnston Y, Mercieca EC, Carmichael AM, Alexander B, Harding IH, Stout JC. Hippocampal and striatal volumes correlate with spatial memory impairment in Huntington's disease. J Neurosci Res 2021; 99:2948-2963. [PMID: 34516012 DOI: 10.1002/jnr.24966] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 08/19/2021] [Accepted: 08/28/2021] [Indexed: 02/06/2023]
Abstract
Spatial memory impairments are observed in people with Huntington's disease (HD), however, the domain of spatial memory has received little focus when characterizing the cognitive phenotype of HD. Spatial memory is traditionally thought to be a hippocampal-dependent function, while the neuropathology of HD centers on the striatum. Alongside spatial memory deficits in HD, recent neurocognitive theories suggest that a larger brain network is involved, including the striatum. We examined the relationship between hippocampal and striatal volumes and spatial memory in 36 HD gene expansion carriers, including premanifest (n = 24) and early manifest HD (n = 12), and 32 matched healthy controls. We assessed spatial memory with Paired Associates Learning, Rey-Osterrieth Complex Figure Test, and the Virtual House task, which assesses three components of spatial memory: navigation, object location, and plan drawing. Caudate nucleus, putamen, and hippocampal volumes were manually segmented on T1-weighted MR images. As expected, caudate nucleus and putamen volumes were significantly smaller in the HD group compared to controls, with manifest HD having more severe atrophy than the premanifest HD group. Hippocampal volumes did not differ significantly between HD and control groups. Nonetheless, on average, the HD group performed significantly worse than controls across all spatial memory tasks. The spatial memory components of object location and recall of figural and topographical drawings were associated with striatal and hippocampal volumes in the HD cohort. We provide a case to include spatial memory impairments in the cognitive phenotype of HD, and extend the neurocognitive picture of HD beyond its primary pathology within the striatum.
Collapse
Affiliation(s)
- Yifat Glikmann-Johnston
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Emily-Clare Mercieca
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Anna M Carmichael
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Bonnie Alexander
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia.,Murdoch Children's Research Institute, Parkville, VIC, Australia.,Department of Neurosurgery, Royal Children's Hospital, Parkville, VIC, Australia
| | - Ian H Harding
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia.,Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia
| | - Julie C Stout
- Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| |
Collapse
|
16
|
Zheng A, Montez DF, Marek S, Gilmore AW, Newbold DJ, Laumann TO, Kay BP, Seider NA, Van AN, Hampton JM, Alexopoulos D, Schlaggar BL, Sylvester CM, Greene DJ, Shimony JS, Nelson SM, Wig GS, Gratton C, McDermott KB, Raichle ME, Gordon EM, Dosenbach NUF. Parallel hippocampal-parietal circuits for self- and goal-oriented processing. Proc Natl Acad Sci U S A 2021; 118:e2101743118. [PMID: 34404728 PMCID: PMC8403906 DOI: 10.1073/pnas.2101743118] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The hippocampus is critically important for a diverse range of cognitive processes, such as episodic memory, prospective memory, affective processing, and spatial navigation. Using individual-specific precision functional mapping of resting-state functional MRI data, we found the anterior hippocampus (head and body) to be preferentially functionally connected to the default mode network (DMN), as expected. The hippocampal tail, however, was strongly preferentially functionally connected to the parietal memory network (PMN), which supports goal-oriented cognition and stimulus recognition. This anterior-posterior dichotomy of resting-state functional connectivity was well-matched by differences in task deactivations and anatomical segmentations of the hippocampus. Task deactivations were localized to the hippocampal head and body (DMN), relatively sparing the tail (PMN). The functional dichotomization of the hippocampus into anterior DMN-connected and posterior PMN-connected parcels suggests parallel but distinct circuits between the hippocampus and medial parietal cortex for self- versus goal-oriented processing.
Collapse
Affiliation(s)
- Annie Zheng
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110;
| | - David F Montez
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Scott Marek
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Adrian W Gilmore
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130
| | - Dillan J Newbold
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Timothy O Laumann
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Benjamin P Kay
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Nicole A Seider
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Andrew N Van
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Jacqueline M Hampton
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Dimitrios Alexopoulos
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
| | - Bradley L Schlaggar
- Kennedy Krieger Institute, Baltimore, MD 21205
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205
- Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Chad M Sylvester
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Deanna J Greene
- Department of Cognitive Science, University of California, San Diego, CA 92093
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Steven M Nelson
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55454
- Masonic Institute for the Developing Brain, University of Minnesota, Minneapolis, MN 55414
| | - Gagan S Wig
- Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, TX 75235
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, TX 75390
| | - Caterina Gratton
- Department of Psychology, Northwestern University, Evanston, IL 60208
- Department of Neurology, Northwestern University, Evanston, IL 60208
| | - Kathleen B McDermott
- Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Marcus E Raichle
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Evan M Gordon
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
| | - Nico U F Dosenbach
- Department of Neurology, Washington University School of Medicine, St. Louis, MO 63110;
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO 63110
- Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO 63110
| |
Collapse
|
17
|
Bremner JD, Hoffman M, Afzal N, Cheema FA, Novik O, Ashraf A, Brummer M, Nazeer A, Goldberg J, Vaccarino V. The environment contributes more than genetics to smaller hippocampal volume in Posttraumatic Stress Disorder (PTSD). J Psychiatr Res 2021; 137:579-588. [PMID: 33168198 PMCID: PMC8345282 DOI: 10.1016/j.jpsychires.2020.10.042] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 10/27/2020] [Accepted: 10/28/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Studies using structural magnetic resonance imaging (MRI) volumetrics showed smaller hippocampal volume in patients with post-traumatic stress disorder (PTSD). These studies were cross-sectional and did not address whether smaller volume is secondary to stress-induced damage, or whether pre-existing factors account for the findings. The purpose of this study was to use a co-twin case control design to assess the relative contribution of genetic and environmental factors to hippocampal volume in PTSD. METHODS Monozygotic (N = 13 pairs) and dizygotic (N = 21 pairs) twins with a history of Vietnam Era military service, where one brother went to Vietnam and developed PTSD, while his brother did not go to Vietnam or develop PTSD, underwent MR imaging of the brain. Structural MRI scans were used to manually outline the left and right hippocampus on multiple coronal slices, add the areas and adjust for slice thickness to determine hippocampal volume. RESULTS Twins with Vietnam combat-related PTSD had a mean 11% smaller right hippocampal volume in comparison to their twin brothers without combat exposure or PTSD (p < .05). There was no significant interaction by zygosity, suggesting that this was not a predisposing risk factor or genetic effect. CONCLUSIONS These findings are consistent with smaller hippocampal volume in PTSD, and suggest that the effects are primarily due to environmental effects such as the stress of combat.
Collapse
Affiliation(s)
- J. Douglas Bremner
- Departments of Psychiatry and Behavioral Sciences, USA, Radiology, and Medicine (Cardiology), USA, Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA, Corresponding author. Dept of Psychiatry & Behavioral Sciences, Emory University School of Medicine, 12 Executive Park Dr NE, USA. (J.D. Bremner)
| | | | - Nadeem Afzal
- Departments of Psychiatry and Behavioral Sciences, USA
| | - Faiz A. Cheema
- Departments of Psychiatry and Behavioral Sciences, USA, The Vietnam Era Twin Registry, Seattle Veterans Administration Epidemiology Research, USA
| | - Olga Novik
- Departments of Psychiatry and Behavioral Sciences, USA, The Vietnam Era Twin Registry, Seattle Veterans Administration Epidemiology Research, USA
| | - Ali Ashraf
- Departments of Psychiatry and Behavioral Sciences, USA
| | | | - Ahsan Nazeer
- Departments of Psychiatry and Behavioral Sciences, USA
| | - Jack Goldberg
- Information Center and Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Viola Vaccarino
- Emory University School of Medicine, Atlanta GA; Atlanta VAMC, Decatur, GA, USA, The Vietnam Era Twin Registry, Seattle Veterans Administration Epidemiology Research, USA
| |
Collapse
|
18
|
Chu S, Margerison M, Thavabalasingam S, O'Neil EB, Zhao YF, Ito R, Lee ACH. Perirhinal Cortex is Involved in the Resolution of Learned Approach-Avoidance Conflict Associated with Discrete Objects. Cereb Cortex 2021; 31:2701-2719. [PMID: 33429427 DOI: 10.1093/cercor/bhaa384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The rodent ventral and primate anterior hippocampus have been implicated in approach-avoidance (AA) conflict processing. It is unclear, however, whether this structure contributes to AA conflict detection and/or resolution, and if its involvement extends to conditions of AA conflict devoid of spatial/contextual information. To investigate this, neurologically healthy human participants first learned to approach or avoid single novel visual objects with the goal of maximizing earned points. Approaching led to point gain and loss for positive and negative objects, respectively, whereas avoidance had no impact on score. Pairs of these objects, each possessing nonconflicting (positive-positive/negative-negative) or conflicting (positive-negative) valences, were then presented during functional magnetic resonance imaging. Participants either made an AA decision to score points (Decision task), indicated whether the objects had identical or differing valences (Memory task), or followed a visual instruction to approach or avoid (Action task). Converging multivariate and univariate results revealed that within the medial temporal lobe, perirhinal cortex, rather than the anterior hippocampus, was predominantly associated with object-based AA conflict resolution. We suggest the anterior hippocampus may not contribute equally to all learned AA conflict scenarios and that stimulus information type may be a critical and overlooked determinant of the neural mechanisms underlying AA conflict behavior.
Collapse
Affiliation(s)
- Sonja Chu
- Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada
| | - Matthew Margerison
- Department of Psychology (Scarborough), University of Toronto, Toronto, Ontario, Canada
| | | | - Edward B O'Neil
- Department of Psychology (Scarborough), University of Toronto, Toronto, Ontario, Canada
| | - Yuan-Fang Zhao
- Department of Psychology (Scarborough), University of Toronto, Toronto, Ontario, Canada
| | - Rutsuko Ito
- Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology (Scarborough), University of Toronto, Toronto, Ontario, Canada.,Department of Cell and Systems Biology, University of Toronto, Toronto, Ontario, Canada
| | - Andy C H Lee
- Department of Psychological Clinical Science, University of Toronto, Toronto, Ontario, Canada.,Department of Psychology (Scarborough), University of Toronto, Toronto, Ontario, Canada.,Rotman Research Institute, Baycrest Centre, Toronto, Ontario, Canada
| |
Collapse
|
19
|
Pike NA, Roy B, Moye S, Cabrera-Mino C, Woo MA, Halnon NJ, Lewis AB, Kumar R. Reduced hippocampal volumes and memory deficits in adolescents with single ventricle heart disease. Brain Behav 2021; 11:e01977. [PMID: 33410605 PMCID: PMC7882179 DOI: 10.1002/brb3.1977] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 09/17/2020] [Accepted: 11/14/2020] [Indexed: 11/08/2022] Open
Abstract
INTRODUCTION Adolescents with single ventricle congenital heart disease (SVHD) show functional deficits, particularly in memory and mood regulation. Hippocampi are key brain structures that regulate mood and memory; however, their tissue integrity in SVHD is unclear. Our study aim is to evaluate hippocampal volumes and their associations with memory, anxiety, and mood scores in adolescents with SVHD compared to healthy controls. METHODS We collected brain magnetic resonance imaging data from 25 SVHD (age 15.9 ± 1.2 years; 15 male) and 38 controls (16.0 ± 1.1 years; 19 male) and assessed memory (Wide Range Assessment of Memory and Learning 2, WRAML2), anxiety (Beck Anxiety Inventory, BAI), and mood (Patient Health Questionnaire 9, PHQ-9) functions. Both left and right hippocampi were outlined and global volumes, as well as three-dimensional surfaces were compared between groups using ANCOVA and associations with cognitive and behavioral scores with partial correlations (covariates: age and total brain volume). RESULTS The SVHD group showed significantly higher BAI (p = .001) and PHQ-9 (p < .001) scores, indicating anxiety and depression symptoms and significantly reduced WRAML2 scores (p < .001), suggesting memory deficits compared with controls. SVHD group had significantly reduced right global hippocampal volumes (p = .036) compared with controls, but not the left (p = .114). Right hippocampal volume reductions were localized in the CA1, CA4, subiculum, and dentate gyrus. Positive correlations emerged between WRAML2 scores and left (r = 0.32, p = .01) and right (r = 0.28, p = .03) hippocampal volumes, but BAI and PHQ-9 did not show significant correlations. CONCLUSION Adolescents with SVHD show reduced hippocampal volumes, localized in several sites (CA1, CA4, subiculum, and dentate gyrus), which are associated with memory deficits. The findings indicate the need to explore ways to improve memory to optimize academic achievement and ability for self-care in the condition.
Collapse
Affiliation(s)
- Nancy A Pike
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA, USA
| | - Bhaswati Roy
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA, USA
| | - Stefanie Moye
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA, USA
| | | | - Mary A Woo
- UCLA School of Nursing, University of California Los Angeles, Los Angeles, CA, USA
| | - Nancy J Halnon
- Division of Pediatric Cardiology, University of California Los Angeles, Los Angeles, CA, USA
| | - Alan B Lewis
- Division of Pediatric Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Rajesh Kumar
- Departments of Anesthesiology, University of California Los Angeles, Los Angeles, CA, USA.,Radiological Sciences, University of California Los Angeles, Los Angeles, CA, USA.,Bioengineering, University of California Los Angeles, Los Angeles, CA, USA.,Brain Research Institute, University of California Los Angeles, Los Angeles, CA, USA
| |
Collapse
|
20
|
Fraser MA, Walsh EI, Shaw ME, Abhayaratna WP, Anstey KJ, Sachdev PS, Cherbuin N. Longitudinal trajectories of hippocampal volume in middle to older age community dwelling individuals. Neurobiol Aging 2020; 97:97-105. [PMID: 33190123 DOI: 10.1016/j.neurobiolaging.2020.10.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 09/04/2020] [Accepted: 10/12/2020] [Indexed: 12/11/2022]
Abstract
Understanding heterogeneity in brain aging trajectories is important to estimate the extent to which aging outcomes can be optimized. Although brain changes in late life are well-characterized, brain changes in middle age are not well understood. In this study, we investigated hippocampal change in a generally healthy community-living population of middle (n = 421, mean age 47.2 years) and older age (n = 411, mean age 63.0 years) individuals, over a follow-up of up to 12 years. Manually traced hippocampal volumes were analyzed using multilevel models and latent class analysis to investigate longitudinal aging trajectories and laterality and sex effects, and to identify subgroups that follow different aging trajectories. Hippocampal volumes decreased on average by 0.18%/year in middle age and 0.3%/year in older age. Men tended to experience steeper declines than women in middle age only. Three subgroups of individuals following different trajectories were identified in middle age and 2 in older age. Contrary to expectations, the subgroup containing two-thirds of older age participants maintained stable hippocampal volumes across the follow-up.
Collapse
Affiliation(s)
- Mark A Fraser
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia.
| | - Erin I Walsh
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia; Population Health Exchange, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Marnie E Shaw
- ANU College of Engineering & Computer Science, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Walter P Abhayaratna
- College of Health & Medicine, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Kaarin J Anstey
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia; Ageing Futures Institute, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing (CHeBA), School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Nicolas Cherbuin
- Centre for Research on Ageing, Health and Wellbeing, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| |
Collapse
|
21
|
Canada KL, Botdorf M, Riggins T. Longitudinal development of hippocampal subregions from early- to mid-childhood. Hippocampus 2020; 30:1098-1111. [PMID: 32497411 DOI: 10.1002/hipo.23218] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 05/06/2020] [Accepted: 05/07/2020] [Indexed: 01/11/2023]
Abstract
Early childhood is characterized by vast changes in behaviors supported by the hippocampus and an increased susceptibility of the hippocampus to environmental influences. Thus, it is an important time to investigate the development of the hippocampus. Existing research suggests subregions of the hippocampus (i.e., head, body, tail) have dissociable functions and that the relations between subregions and cognitive abilities vary across development. However, longitudinal research examining age-related changes in subregions in humans, particularly during early childhood (i.e., 4-6 years), is limited. Using a large sample of 184 healthy 4- to 8-year-old children, the present study is the first to characterize developmental changes in hippocampal subregion volume from early- to mid-childhood. Results reveal differential developmental trajectories in hippocampal head, body, and tail during this period. Specifically, head volume showed a quadratic pattern of change, and both body and tail showed linear increases, resulting in a pattern of cubic change for total hippocampal volume. Further, main effects of sex on hippocampal volume (males > females) and hemispheric differences in developmental trajectories were observed. These findings provide an improved understanding of the development of the hippocampus and have important implications for research investigating a range of cognitive abilities and behaviors.
Collapse
Affiliation(s)
- Kelsey L Canada
- Department of Psychology, University of Maryland, College Park, Maryland, USA
| | - Morgan Botdorf
- Department of Psychology, University of Maryland, College Park, Maryland, USA
| | - Tracy Riggins
- Department of Psychology, University of Maryland, College Park, Maryland, USA
| |
Collapse
|
22
|
The Amygdala in Schizophrenia and Bipolar Disorder: A Synthesis of Structural MRI, Diffusion Tensor Imaging, and Resting-State Functional Connectivity Findings. Harv Rev Psychiatry 2020; 27:150-164. [PMID: 31082993 DOI: 10.1097/hrp.0000000000000207] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Frequently implicated in psychotic spectrum disorders, the amygdala serves as an important hub for elucidating the convergent and divergent neural substrates in schizophrenia and bipolar disorder, the two most studied groups of psychotic spectrum conditions. A systematic search of electronic databases through December 2017 was conducted to identify neuroimaging studies of the amygdala in schizophrenia and bipolar disorder, focusing on structural MRI, diffusion tensor imaging (DTI), and resting-state functional connectivity studies, with an emphasis on cross-diagnostic studies. Ninety-four independent studies were selected for the present review (49 structural MRI, 27 DTI, and 18 resting-state functional MRI studies). Also selected, and analyzed in a separate meta-analysis, were 33 volumetric studies with the amygdala as the region-of-interest. Reduced left, right, and total amygdala volumes were found in schizophrenia, relative to both healthy controls and bipolar subjects, even when restricted to cohorts in the early stages of illness. No volume abnormalities were observed in bipolar subjects relative to healthy controls. Shape morphometry studies showed either amygdala deformity or no differences in schizophrenia, and no abnormalities in bipolar disorder. In contrast to the volumetric findings, DTI studies of the uncinate fasciculus tract (connecting the amygdala with the medial- and orbitofrontal cortices) largely showed reduced fractional anisotropy (a marker of white matter microstructure abnormality) in both schizophrenia and bipolar patients, with no cross-diagnostic differences. While decreased amygdalar-orbitofrontal functional connectivity was generally observed in schizophrenia, varying patterns of amygdalar-orbitofrontal connectivity in bipolar disorder were found. Future studies can consider adopting longitudinal approaches with multimodal imaging and more extensive clinical subtyping to probe amygdalar subregional changes and their relationship to the sequelae of psychotic disorders.
Collapse
|
23
|
Stern JA, Botdorf M, Cassidy J, Riggins T. Empathic responding and hippocampal volume in young children. Dev Psychol 2020; 55:1908-1920. [PMID: 31464494 DOI: 10.1037/dev0000684] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Empathic responding-the capacity to understand, resonate with, and respond sensitively to others' emotional experiences-is a complex human faculty that calls upon multiple social, emotional, and cognitive capacities and their underlying neural systems. Emerging evidence in adults has suggested that the hippocampus and its associated network may play an important role in empathic responding, possibly via processes such as memory of emotional events, but the contribution of this structure in early childhood is unknown. We examined concurrent associations between empathic responding and hippocampal volume in a sample of 78 children (ages 4-8 years). Larger bilateral hippocampal volume (adjusted for intracranial volume) predicted greater observed empathic responses toward an experimenter in distress, but only for boys. The association was not driven by a specific subregion of the hippocampus (head, body, tail), nor did it vary with age. Empathic responding was not significantly related to amygdala volume, suggesting specificity of relations with the hippocampus. Results support the proposal that hippocampal structure contributes to individual differences in children's empathic responding, consistent with research in adults. Findings shed light on an understudied structure in the complex neural systems supporting empathic responding and raise new questions regarding sex differences in the neurodevelopment of empathy in early childhood. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
Collapse
Affiliation(s)
- Jessica A Stern
- Department of Psychology, University of Maryland, College Park
| | - Morgan Botdorf
- Department of Psychology, University of Maryland, College Park
| | - Jude Cassidy
- Department of Psychology, University of Maryland, College Park
| | - Tracy Riggins
- Department of Psychology, University of Maryland, College Park
| |
Collapse
|
24
|
Adrián-Ventura J, Costumero V, Parcet MA, Ávila C. Linking personality and brain anatomy: a structural MRI approach to Reinforcement Sensitivity Theory. Soc Cogn Affect Neurosci 2020; 14:329-338. [PMID: 30753654 PMCID: PMC6399605 DOI: 10.1093/scan/nsz011] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 01/16/2019] [Accepted: 02/06/2019] [Indexed: 12/02/2022] Open
Abstract
Reinforcement Sensitivity Theory (RST) proposes a widely used taxonomy of human personality linked to individual differences at both behavioral and neuropsychological levels that describe a predisposition to psychopathology. However, the body of RST research was based on animal findings, and little is known about their anatomical correspondence in humans. Here we set out to investigate MRI structural correlates (i.e. voxel-based morphometry) of the main personality dimensions proposed by the RST in a group of 400 healthy young adults who completed the Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ). Sensitivity to punishment scores correlated positively with the gray matter volume in the amygdala, whereas sensitivity to reward scores correlated negatively with the volume in the left lateral and medial prefrontal cortex. Moreover, a negative relationship was found between the striatal volume and the reward sensitivity trait, but only for male participants. The present results support the neuropsychological basis of the RST by linking punishment and reward sensitivity to anatomical differences in limbic and frontostriatal regions, respectively. These results are interpreted based on previous literature related to externalizing and internalizing disorders, and they highlight the possible role of SPSRQ as a measure of proneness to these disorders.
Collapse
Affiliation(s)
- Jesús Adrián-Ventura
- Neuropsychology and Functional Neuroimaging, Jaume I University, Castellón, Spain
| | - Víctor Costumero
- Neuropsychology and Functional Neuroimaging, Jaume I University, Castellón, Spain.,Center for Brain and Cognition, Pompeu Fabra University, Barcelona, Spain.,ERI Lectura, University of Valencia, Valencia, Spain
| | - Maria Antònia Parcet
- Neuropsychology and Functional Neuroimaging, Jaume I University, Castellón, Spain
| | - César Ávila
- Neuropsychology and Functional Neuroimaging, Jaume I University, Castellón, Spain
| |
Collapse
|
25
|
Lorenzetti V, Chye Y, Suo C, Walterfang M, Lubman DI, Takagi M, Whittle S, Verdejo-Garcia A, Cousijn J, Pantelis C, Seal M, Fornito A, Yücel M, Solowij N. Neuroanatomical alterations in people with high and low cannabis dependence. Aust N Z J Psychiatry 2020; 54:68-75. [PMID: 31298035 DOI: 10.1177/0004867419859077] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVES We aimed to investigate whether severity of cannabis dependence is associated with the neuroanatomy of key brain regions of the stress and reward brain circuits. METHODS To examine dependence-specific regional brain alterations, we compared the volumes of regions relevant to reward and stress, between high-dependence cannabis users (CD+, n = 25), low-dependence cannabis users (CD-, n = 20) and controls (n = 37). RESULTS Compared to CD- and/or controls, the CD+ group had lower cerebellar white matter and hippocampal volumes, and deflation of the right hippocampus head and tail. CONCLUSION These findings provide initial support for neuroadaptations involving stress and reward circuits that are specific to high-dependence cannabis users.
Collapse
Affiliation(s)
- Valentina Lorenzetti
- School of Behavioural and Health Sciences, Faculty of Health Sciences, Australian Catholic University, Fitzroy, VIC, Australia.,Department of Psychological Sciences, Institute of Psychology Health and Society, University of Liverpool, Liverpool, UK
| | - Yann Chye
- Brain Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Chao Suo
- Brain Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Mark Walterfang
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,Florey Institute of Neuroscience and Mental Health, The University of Melbourne.,Neuropsychiatry Unit, Royal Melbourne Hospital, Australia
| | - Dan I Lubman
- Turning Point, Eastern Health and Eastern Health Clinical School, Monash University, Melbourne, VIC Australia
| | - Michael Takagi
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Sarah Whittle
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia
| | - Antonio Verdejo-Garcia
- Brain Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Janna Cousijn
- Department of Developmental Psychology, University of Amsterdam, Amsterdam, The Netherlands
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne, Melbourne, VIC, Australia.,Florey Institute of Neuroscience and Mental Health, The University of Melbourne
| | - Marc Seal
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Alex Fornito
- Brain Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Murat Yücel
- Brain Mind and Society Research Hub, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Nadia Solowij
- School of Psychology and Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, NSW, Australia
| |
Collapse
|
26
|
Gruber I, Kneissl S, Probst A, Pakozdy A. Delineation of the Feline Hippocampal Formation: A Comparison of Magnetic Resonance Images With Anatomic Slices. Front Vet Sci 2019; 6:358. [PMID: 31781578 PMCID: PMC6857121 DOI: 10.3389/fvets.2019.00358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 09/30/2019] [Indexed: 11/13/2022] Open
Abstract
The hippocampal formation (HF) is a relevant brain structure that is involved in several neurological and psychiatric diseases. In cats, structural changes of the HF are associated with epilepsy. The knowledge of a detailed anatomy of this brain region may lead to the accurate diagnosis and development of better therapies. There are, however, discrepancies among the research findings, which may be due to different definitions being used, according to anatomical guidelines and boundaries, as well as different magnetic resonance (MR) protocols. The aim of this study is to evaluate the anatomical borders of the HF on transverse MR images and the correlated anatomic sections in three cats. The boundaries of the HF were mostly visible in the formalin fixed anatomic sections, except in the areas where the hippocampus proper exchanges into the subicular complex. Also, the delineation of the anteroventral part and the latero-caudal borders of the HF were not clearly defined. Based on our preliminary results these problems are reinforced on MR images, and further histological and anatomical research must be done to find a way to delineate these neurological structures accurately.
Collapse
Affiliation(s)
- Isabella Gruber
- Internal Medicine Small Animals, University of Veterinary Medicine, Vienna, Austria
| | - Sibylle Kneissl
- Diagnostic Imaging, University of Veterinary Medicine, Vienna, Austria
| | - Alexander Probst
- Institute of Topographic Anatomy, University of Veterinary Medicine, Vienna, Austria
| | - Akos Pakozdy
- Internal Medicine Small Animals, University of Veterinary Medicine, Vienna, Austria
| |
Collapse
|
27
|
A comparative evaluation of bilateral hippocampus and amygdala volumes with ADC values in pediatric primary idiopathic partial epilepsy patients. JOURNAL OF SURGERY AND MEDICINE 2019. [DOI: 10.28982/josam.630645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
28
|
ZHAO W, CUI W, XU S, CHEONG L, SHEN C. Examination of Alzheimer's disease by a combination of electrostatic force and mechanical measurement. J Microsc 2019; 275:66-72. [DOI: 10.1111/jmi.12801] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 04/23/2019] [Accepted: 04/28/2019] [Indexed: 12/15/2022]
Affiliation(s)
- W. ZHAO
- Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences Ningbo Zhejiang China
| | - W. CUI
- Ningbo Key Laboratory of Behavioral Neuroscience, Provincial Key Laboratory of Pathophysiology, School of MedicineNingbo University Ningbo Zhejiang China
| | - S. XU
- Ningbo Key Laboratory of Behavioral Neuroscience, Provincial Key Laboratory of Pathophysiology, School of MedicineNingbo University Ningbo Zhejiang China
| | - L.‐Z. CHEONG
- College of Food and Pharmaceutical SciencesNingbo University Ningbo China
| | - C. SHEN
- Ningbo Institute of Materials Technology & Engineering, Chinese Academy of Sciences Ningbo Zhejiang China
| |
Collapse
|
29
|
Bauer PJ, Dugan JA, Varga NL, Riggins T. Relations between neural structures and children's self-derivation of new knowledge through memory integration. Dev Cogn Neurosci 2019; 36:100611. [PMID: 30630776 PMCID: PMC6969255 DOI: 10.1016/j.dcn.2018.12.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 11/28/2018] [Accepted: 12/14/2018] [Indexed: 01/10/2023] Open
Abstract
Accumulation of semantic or factual knowledge is a major task during development. Knowledge builds through direct experience and explicit instruction as well as through productive processes that permit derivation of new understandings. In the present research, we tested the neural bases of the specific productive process of self-derivation of new factual knowledge through integration of separate yet related episodes of new learning. The process serves as an ecologically valid model of semantic knowledge accumulation. We tested structure/behavior relations in 5- to 8-year-old children, a period characterized by both age-related differences and individual variability in self-derivation, as well as in the neural regions implicated in memory integration, namely the hippocampus and prefrontal cortex. After controlling for the variance in task performance explained by age, sex, verbal IQ, and gray-matter volume (medial prefrontal cortex, mPFC, only), we observed relations between right mPFC thickness and memory for information explicitly taught to the children as well as the new information they self-derived; relations with the volume of the right hippocampus approached significance. This research provides the first evidence of the neural substrate that subserves children's accumulation of knowledge via self-derivation through memory integration, an empirically demonstrated, functionally significant learning mechanism.
Collapse
Affiliation(s)
| | | | - Nicole L Varga
- Center for Learning and Memory, University of Texas at Austin, USA
| | - Tracy Riggins
- Department of Psychology, University of Maryland, USA
| |
Collapse
|
30
|
Impaired hippocampal development and outcomes in very preterm infants with perinatal brain injury. NEUROIMAGE-CLINICAL 2019; 22:101787. [PMID: 30991622 PMCID: PMC6446074 DOI: 10.1016/j.nicl.2019.101787] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Revised: 03/12/2019] [Accepted: 03/16/2019] [Indexed: 12/16/2022]
Abstract
Preterm infants are at high risk for brain injury during the perinatal period. Intraventricular hemorrhage and periventricular leukomalacia, the two most common patterns of brain injury in prematurely-born children, are associated with poor neurodevelopmental outcomes. The hippocampus is known to be critical for learning and memory; however, it remains unknown how these forms of brain injury affect hippocampal growth and how the resulting alterations in hippocampal development relate to childhood outcomes. To investigate these relationships, hippocampal segmentations were performed on term equivalent MRI scans from 55 full-term infants, 85 very preterm infants (born ≤32 weeks gestation) with no to mild brain injury and 73 very preterm infants with brain injury (e.g., grade III/IV intraventricular hemorrhage, post-hemorrhagic hydrocephalus, cystic periventricular leukomalacia). Infants then underwent standardized neurodevelopmental testing using the Bayley Scales of Infant and Toddler Development, 3rd edition at age 2 years, corrected for prematurity. To delineate the effects of brain injury on early hippocampal development, hippocampal volumes were compared across groups and associations between neonatal volumes and neurodevelopmental outcomes at age 2 years were explored. Very preterm infants with brain injury had smaller hippocampal volumes at term equivalent age compared to term and very preterm infants with no to mild injury, with the smallest hippocampi among those with grade III/IV intraventricular hemorrhage and post-hemorrhagic hydrocephalus. Further, larger ventricle size was associated with smaller hippocampal size. Smaller hippocampal volumes were related to worse motor performance at age 2 years across all groups. In addition, smaller hippocampal volumes in infants with brain injury were correlated with impaired cognitive scores at age 2 years, a relationship specific to this group. Consistent with our preclinical findings, these findings demonstrate that perinatal brain injury is associated with hippocampal size in preterm infants, with smaller volumes related to domain-specific neurodevelopmental impairments in this high-risk clinical population. Perinatal brain injury is related to smaller hippocampal volumes in preterm infants Infants with high-grade intraventricular hemorrhage have smallest hippocampi Larger ventricular size is related to smaller hippocampal volumes in hydrocephalus Smaller hippocampi are related to worse cognitive outcomes in brain injured infants Smaller hippocampal volumes associated with worse motor performance across groups
Collapse
|
31
|
Evidence for the incorporation of temporal duration information in human hippocampal long-term memory sequence representations. Proc Natl Acad Sci U S A 2019; 116:6407-6414. [PMID: 30862732 DOI: 10.1073/pnas.1819993116] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
There has been much interest in how the hippocampus codes time in support of episodic memory. Notably, while rodent hippocampal neurons, including populations in subfield CA1, have been shown to represent the passage of time in the order of seconds between events, there is limited support for a similar mechanism in humans. Specifically, there is no clear evidence that human hippocampal activity during long-term memory processing is sensitive to temporal duration information that spans seconds. To address this gap, we asked participants to first learn short event sequences that varied in image content and interval durations. During fMRI, participants then completed a recognition memory task, as well as a recall phase in which they were required to mentally replay each sequence in as much detail as possible. We found that individual sequences could be classified using activity patterns in the anterior hippocampus during recognition memory. Critically, successful classification was dependent on the conjunction of event content and temporal structure information (with unsuccessful classification of image content or interval duration alone), and further analyses suggested that the most informative voxels resided in the anterior CA1. Additionally, a classifier trained on anterior CA1 recognition data could successfully identify individual sequences from the mental replay data, suggesting that similar activity patterns supported participants' recognition and recall memory. Our findings complement recent rodent hippocampal research, and provide evidence that long-term sequence memory representations in the human hippocampus can reflect duration information in the order of seconds.
Collapse
|
32
|
Schlichting ML, Mack ML, Guarino KF, Preston AR. Performance of semi-automated hippocampal subfield segmentation methods across ages in a pediatric sample. Neuroimage 2019; 191:49-67. [PMID: 30731245 DOI: 10.1016/j.neuroimage.2019.01.051] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 12/20/2018] [Accepted: 01/19/2019] [Indexed: 10/27/2022] Open
Abstract
Episodic memory function has been shown to depend critically on the hippocampus. This region is made up of a number of subfields, which differ in both cytoarchitectural features and functional roles in the mature brain. Recent neuroimaging work in children and adolescents has suggested that these regions may undergo different developmental trajectories-a fact that has important implications for how we think about learning and memory processes in these populations. Despite the growing research interest in hippocampal structure and function at the subfield level in healthy young adults, comparatively fewer studies have been carried out looking at subfield development. One barrier to studying these questions has been that manual segmentation of hippocampal subfields-considered by many to be the best available approach for defining these regions-is laborious and can be infeasible for large cross-sectional or longitudinal studies of cognitive development. Moreover, manual segmentation requires some subjectivity and is not impervious to bias or error. In a developmental sample of individuals spanning 6-30 years, we assessed the degree to which two semi-automated segmentation approaches-one approach based on Automated Segmentation of Hippocampal Subfields (ASHS) and another utilizing Advanced Normalization Tools (ANTs)-approximated manual subfield delineation on each individual by a single expert rater. Our main question was whether performance varied as a function of age group. Across several quantitative metrics, we found negligible differences in subfield validity across the child, adolescent, and adult age groups, suggesting that these methods can be reliably applied to developmental studies. We conclude that ASHS outperforms ANTs overall and is thus preferable for analyses carried out in individual subject space. However, we underscore that ANTs is also acceptable and may be well-suited for analyses requiring normalization to a single group template (e.g., voxelwise analyses across a wide age range). Previous work has supported the use of such methods in healthy young adults, as well as several special populations such as older adults and those suffering from mild cognitive impairment. Our results extend these previous findings to show that ASHS and ANTs can also be used in pediatric populations as young as six.
Collapse
Affiliation(s)
- Margaret L Schlichting
- Center for Learning and Memory, The University of Texas at Austin, USA; Department of Psychology, University of Toronto, Canada.
| | - Michael L Mack
- Center for Learning and Memory, The University of Texas at Austin, USA; Department of Psychology, University of Toronto, Canada
| | | | - Alison R Preston
- Center for Learning and Memory, The University of Texas at Austin, USA; Department of Psychology, The University of Texas at Austin, USA; Department of Neuroscience, The University of Texas at Austin, USA
| |
Collapse
|
33
|
Morishita Y, Mugikura S, Mori N, Tamura H, Sato S, Akashi T, Jin K, Nakasato N, Takase K. Atrophy of the ipsilateral mammillary body in unilateral hippocampal sclerosis shown by thin-slice-reconstructed volumetric analysis. Neuroradiology 2019; 61:515-523. [PMID: 30637459 DOI: 10.1007/s00234-019-02158-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 01/03/2019] [Indexed: 11/30/2022]
Abstract
PURPOSE Conventional volumetric analysis could not detect ipsilateral atrophy of the mammillary body in patients with unilateral hippocampal sclerosis. By using thin-slice-reconstructed volumetric analysis, we investigated whether the mammillary body volume is smaller on the hippocampal sclerosis side than in healthy subjects or the non-hippocampal sclerosis side. METHODS This retrospective study included 45 patients with unilateral hippocampal sclerosis and 30 healthy subjects. Three-dimensional T1WI of 1 mm thicknesses were oversampled to a thickness of 0.2 mm (thin-slice-reconstructed images), and the mammillary bodies were segmented manually to determine mammillary body volume on each side. Mammillary body volumes on the hippocampal sclerosis side were compared with those in healthy subjects or the non-hippocampal sclerosis side. RESULTS In patients with right hippocampal sclerosis, right mammillary body volume was both significantly smaller than that in healthy subjects (30.3 ± 10.3 vs. 43.3 ± 8.07 mm3, P < 0.001) and significantly smaller than the left mammillary body volume in each patient (30.3 ± 10.3 vs. 41.4 ± 10.1 mm3, P < 0.001). Similarly, in patients with left hippocampal sclerosis, left mammillary body volume was both significantly smaller than that in healthy subjects (37.7 ± 11.2 vs. 47.0 ± 8.65 mm3, P < 0.001) and significantly smaller than right mammillary body volume in each patient (37.7 ± 11.2 vs. 42.5 ± 7.78 mm3, P = 0.044). CONCLUSIONS In this study, thin-slice-reconstructed volumetric analysis showed that, in patients with unilateral hippocampal sclerosis, mammillary body volume on the hippocampal sclerosis side is smaller than that in healthy subjects and the non-hippocampal sclerosis side.
Collapse
Affiliation(s)
- Yohei Morishita
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| | - Shunji Mugikura
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
| | - Naoko Mori
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| | - Hajime Tamura
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| | - Shiho Sato
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| | - Toshiaki Akashi
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| | - Kazutaka Jin
- Department of Epileptology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan
| | - Nobukazu Nakasato
- Department of Epileptology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Graduate School of Medicine, Tohoku University, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan
| |
Collapse
|
34
|
Blankenship SL, Chad-Friedman E, Riggins T, Dougherty LR. Early parenting predicts hippocampal subregion volume via stress reactivity in childhood. Dev Psychobiol 2018; 61:125-140. [DOI: 10.1002/dev.21788] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Revised: 08/23/2018] [Accepted: 08/26/2018] [Indexed: 12/15/2022]
Affiliation(s)
| | | | - Tracy Riggins
- Department of Psychology; University of Maryland; College Park Maryland
| | - Lea R. Dougherty
- Department of Psychology; University of Maryland; College Park Maryland
| |
Collapse
|
35
|
Allebone J, Kanaan R, Wilson SJ. Systematic review of structural and functional brain alterations in psychosis of epilepsy. J Neurol Neurosurg Psychiatry 2018; 89:611-617. [PMID: 29275328 DOI: 10.1136/jnnp-2017-317102] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Revised: 10/18/2017] [Accepted: 10/25/2017] [Indexed: 11/04/2022]
Abstract
This systematic review critically assesses structural and functional neuroimaging studies of psychosis of epilepsy (POE). We integrate findings from 18 studies of adults with POE to examine the prevailing view that there is a specific relationship between temporal lobe epilepsy (TLE) and POE, and that mesial temporal lobe pathology is a biomarker for POE. Our results show: (1) conflicting evidence of volumetric change in the hippocampus and amygdala; (2) distributed structural pathology beyond the mesial temporal lobe; and (3) changes in frontotemporal functional network activation. These results provide strong evidence for a revised conceptualisation of POE as disorder of brain networks, and highlight that abnormalities in mesial temporal structures alone are unlikely to account for its neuropathogenesis. Understanding POE as a disease of brain networks has important implications for neuroimaging research and clinical practice. Specifically, we suggest that future neuroimaging studies of POE target structural and functional networks, and that practitioners are vigilant for psychotic symptoms in all epilepsies, not just TLE.
Collapse
Affiliation(s)
- James Allebone
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia
| | - Richard Kanaan
- Department of Psychiatry, University of Melbourne, Melbourne, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, Brain Research Institute (Austin Campus), Melbourne, Victoria, Australia
| | - Sarah J Wilson
- Melbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria, Australia.,Florey Institute of Neuroscience and Mental Health, Brain Research Institute (Austin Campus), Melbourne, Victoria, Australia.,Comprehensive Epilepsy Programme, Austin Health, Melbourne Brain Centre, Melbourne, Victoria, Australia
| |
Collapse
|
36
|
Thavabalasingam S, O'Neil EB, Lee ACH. Multivoxel pattern similarity suggests the integration of temporal duration in hippocampal event sequence representations. Neuroimage 2018; 178:136-146. [PMID: 29775662 DOI: 10.1016/j.neuroimage.2018.05.036] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 04/20/2018] [Accepted: 05/14/2018] [Indexed: 10/16/2022] Open
Abstract
Recent rodent work suggests the hippocampus may provide a temporal representation of event sequences, in which the order of events and the interval durations between them are encoded. There is, however, limited human evidence for the latter, in particular whether the hippocampus processes duration information pertaining to the passage of time rather than qualitative or quantitative changes in event content. We scanned participants while they made match-mismatch judgements on each trial between a study sequence of events and a subsequent test sequence. Participants explicitly remembered event order or interval duration information (Experiment 1), or monitored order only, with duration being manipulated implicitly (Experiment 2). Hippocampal study-test pattern similarity was significantly reduced by changes to order or duration in mismatch trials, even when duration was processed implicitly. Our findings suggest the human hippocampus processes short intervals within sequences and support the idea that duration information is integrated into hippocampal mnemonic representations.
Collapse
Affiliation(s)
| | - Edward B O'Neil
- Department of Psychology (Scarborough), University of Toronto, Toronto, Canada
| | - Andy C H Lee
- Department of Psychology (Scarborough), University of Toronto, Toronto, Canada; Rotman Research Institute, Baycrest Centre, Toronto, Canada.
| |
Collapse
|
37
|
Riggins T, Geng F, Botdorf M, Canada K, Cox L, Hancock GR. Protracted hippocampal development is associated with age-related improvements in memory during early childhood. Neuroimage 2018. [PMID: 29518573 DOI: 10.1016/j.neuroimage.2018.03.009] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The hippocampus is a structure that is critical for memory. Previous studies have shown that age-related differences in specialization along the longitudinal axis of this structure (i.e., subregions) and within its internal circuitry (i.e., subfields) relate to age-related improvements in memory in school-age children and adults. However, the influence of age on hippocampal development and its relations with memory ability earlier in life remains under-investigated. This study examined effects of age and sex on hippocampal subregion (i.e., head, body, tail) and subfield (i.e., subiculum, CA1, CA2-4/DG) volumes, and their relations with memory, using a large sample of 4- to 8-year-old children. Results examining hippocampal subregions suggest influences of both age and sex on the hippocampal head during early childhood. Results examining subfields within hippocampal head suggest these age effects may arise from CA1, whereas sex differences may arise from subiculum and CA2-4/DG. Memory ability was not associated with hippocampal subregion volume but was associated with subfield volume. Specifically, within the hippocampal head, relations between memory and CA1 were moderated by age; in younger children bigger was better, whereas in older children smaller was superior. Within the hippocampal body, smaller CA1 and larger CA2-4/DG contributed to better memory performance across all ages. Together, these results shed light on hippocampal development during early childhood and support claims that the prolonged developmental trajectory of the hippocampus contributes to memory development early in life.
Collapse
Affiliation(s)
- Tracy Riggins
- University of Maryland, College Park, MD, United States.
| | - Fengji Geng
- University of Maryland, College Park, MD, United States
| | | | - Kelsey Canada
- University of Maryland, College Park, MD, United States
| | - Lisa Cox
- University of Maryland, College Park, MD, United States
| | | |
Collapse
|
38
|
Schmidt MF, Storrs JM, Freeman KB, Jack CR, Turner ST, Griswold ME, Mosley TH. A comparison of manual tracing and FreeSurfer for estimating hippocampal volume over the adult lifespan. Hum Brain Mapp 2018; 39:2500-2513. [PMID: 29468773 DOI: 10.1002/hbm.24017] [Citation(s) in RCA: 66] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 02/11/2018] [Accepted: 02/13/2018] [Indexed: 11/08/2022] Open
Abstract
MRI has become an indispensable tool for brain volumetric studies, with the hippocampus an important region of interest. Automation of the MRI segmentation process has helped advance the field by facilitating the volumetric analysis of larger cohorts and more studies. FreeSurfer has emerged as the de facto standard tool for these analyses, but studies validating its output are all based on older versions. To characterize FreeSurfer's validity, we compare several versions of FreeSurfer software with traditional hand-tracing. Using MRI images of 262 males and 402 females aged 38 to 84, we directly compare estimates of hippocampal volume from multiple versions of FreeSurfer, its hippocampal subfield routines, and our manual tracing protocol. We then use those estimates to assess asymmetry and atrophy, comparing performance of different estimators with each other and with brain atrophy measures. FreeSurfer consistently reports larger volumes than manual tracing. This difference is smaller in larger hippocampi or older people, with these biases weaker in version 6.0.0 than prior versions. All methods tested agree qualitatively on rightward asymmetry and increasing atrophy in older people. FreeSurfer saves time and money, and approximates the same atrophy measures as manual tracing, but it introduces biases that could require statistical adjustments in some studies.
Collapse
Affiliation(s)
- Mike F Schmidt
- Program in Neuroscience, University of Mississippi Medical Center, Jackson, Mississippi.,Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Judd M Storrs
- Department of Radiology, University of Mississippi Medical Center, Jackson, Mississippi
| | - Kevin B Freeman
- Department of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, Mississippi
| | | | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota
| | - Michael E Griswold
- Department of Data Science, University of Mississippi Medical Center, Jackson, Mississippi
| | - Thomas H Mosley
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| |
Collapse
|
39
|
Batalla A, Lorenzetti V, Chye Y, Yücel M, Soriano-Mas C, Bhattacharyya S, Torrens M, Crippa JAS, Martín-Santos R. The Influence of DAT1, COMT, and BDNF Genetic Polymorphisms on Total and Subregional Hippocampal Volumes in Early Onset Heavy Cannabis Users. Cannabis Cannabinoid Res 2018; 3:1-10. [PMID: 29404409 PMCID: PMC5797324 DOI: 10.1089/can.2017.0021] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Introduction: Hippocampal neuroanatomy is affected by genetic variations in dopaminergic candidate genes and environmental insults, such as early onset of chronic cannabis exposure. Here, we examine how hippocampal total and subregional volumes are affected by cannabis use and functional polymorphisms of dopamine-relevant genes, including the catechol-O-methyltransferase (COMT), dopamine transporter (DAT1), and the brain-derived neurotrophic factor (BDNF) genes. Material and Methods: We manually traced total hippocampal volumes and automatically segmented hippocampal subregions using high-resolution MRI images, and performed COMT, DAT1, and BDNF genotyping in 59 male Caucasian young adults aged 18–30 years. These included 30 chronic cannabis users with early-onset (regular use at <16 years) and 29 age-, education-, and intelligence-matched controls. Results: Cannabis use and dopaminergic gene polymorphism had both distinct and interactive effects on the hippocampus. We found emerging alterations of hippocampal total and specific subregional volumes in cannabis users relative to controls (i.e., CA1, CA2/3, and CA4), and associations between cannabis use levels and total and specific subregional volumes. Furthermore, total hippocampal volume and the fissure subregion were affected by cannabis×DAT1 polymorphism (i.e., 9/9R and in 10/10R alleles), reflecting high and low levels of dopamine availability. Conclusion: These findings suggest that cannabis exposure alters the normal relationship between DAT1 polymorphism and the anatomy of total and subregional hippocampal volumes, and that specific hippocampal subregions may be particularly affected.
Collapse
Affiliation(s)
- Albert Batalla
- Department of Psychiatry, Clinical Institute of Neuroscience, Hospital Clínic, IDIBAPS, CIBERSAM and Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain.,Department of Psychiatry, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands.,Nijmegen Institute for Scientist-Practitioners in Addiction (NISPA), Radboud University, Nijmegen, The Netherlands
| | - Valentina Lorenzetti
- School of Psychological Sciences, Institute of Psychology Health and Society, The University of Liverpool, Liverpool, United Kingdom.,Laboratory for Brain and Mental Health, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Yann Chye
- Laboratory for Brain and Mental Health, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Murat Yücel
- Laboratory for Brain and Mental Health, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Carles Soriano-Mas
- Department of Psychiatry, Bellvitge University Hospital-IDIBELL, CIBERSAM G-17, and Department of Psychobiology and Methodology in Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom
| | - Marta Torrens
- Institute of Neuropsychiatry and Addictions, Hospital del Mar, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Psychiatric Department of Universitat Autònoma de Barcelona, Barcelona, Spain
| | - José A S Crippa
- Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina Translational Medicine (INCT-TM), National Council for Scientific and Technological Development, São Paulo, Brazil
| | - Rocío Martín-Santos
- Department of Psychiatry, Clinical Institute of Neuroscience, Hospital Clínic, IDIBAPS, CIBERSAM and Department of Psychiatry and Clinical Psychobiology, University of Barcelona, Barcelona, Spain.,Institute of Neuropsychiatry and Addictions, Hospital del Mar, IMIM (Institut Hospital del Mar d'Investigacions Mèdiques), Psychiatric Department of Universitat Autònoma de Barcelona, Barcelona, Spain.,Department of Neuroscience and Behavior, Faculty of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.,Instituto Nacional de Ciência e Tecnologia Translacional em Medicina Translational Medicine (INCT-TM), National Council for Scientific and Technological Development, São Paulo, Brazil
| |
Collapse
|
40
|
Nelson PT, Abner EL, Patel E, Anderson S, Wilcock DM, Kryscio RJ, Van Eldik LJ, Jicha GA, Gal Z, Nelson RS, Nelson BG, Gal J, Azam MT, Fardo DW, Cykowski MD. The Amygdala as a Locus of Pathologic Misfolding in Neurodegenerative Diseases. J Neuropathol Exp Neurol 2018; 77:2-20. [PMID: 29186501 DOI: 10.1093/jnen/nlx099] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2017] [Indexed: 12/14/2022] Open
Abstract
Over the course of most common neurodegenerative diseases the amygdala accumulates pathologically misfolded proteins. Misfolding of 1 protein in aged brains often is accompanied by the misfolding of other proteins, suggesting synergistic mechanisms. The multiplicity of pathogenic processes in human amygdalae has potentially important implications for the pathogenesis of Alzheimer disease, Lewy body diseases, chronic traumatic encephalopathy, primary age-related tauopathy, and hippocampal sclerosis, and for the biomarkers used to diagnose those diseases. Converging data indicate that the amygdala may represent a preferential locus for a pivotal transition from a relatively benign clinical condition to a more aggressive disease wherein multiple protein species are misfolded. Thus, understanding of amygdalar pathobiology may yield insights relevant to diagnoses and therapies; it is, however, a complex and imperfectly defined brain region. Here, we review aspects of amygdalar anatomy, connectivity, vasculature, and pathologic involvement in neurodegenerative diseases with supporting data from the University of Kentucky Alzheimer's Disease Center autopsy cohort. Immunohistochemical staining of amygdalae for Aβ, Tau, α-synuclein, and TDP-43 highlight the often-coexisting pathologies. We suggest that the amygdala may represent an "incubator" for misfolded proteins and that it is possible that misfolded amygdalar protein species are yet to be discovered.
Collapse
Affiliation(s)
- Peter T Nelson
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Erin L Abner
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Ela Patel
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Sonya Anderson
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Donna M Wilcock
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Richard J Kryscio
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Linda J Van Eldik
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Gregory A Jicha
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Zsombor Gal
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Ruth S Nelson
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Bela G Nelson
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Jozsef Gal
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Md Tofial Azam
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - David W Fardo
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| | - Matthew D Cykowski
- Division of Neuropathology; Sanders-Brown Center on Aging; Department of Pathology; Department of Epidemiology; Department of Physiology; Department of Statistics; Department of Neurology; Department of Neuroscience; Department of Molecular and Cellular Biochemistry; Department of Biostatistics, University of Kentucky, Lexington, Kentucky; and Department of Pathology and Genomic Medicine, Houston Methodist Hospital, Houston, Texas
| |
Collapse
|
41
|
Cahn W, Hulshoff Pol HE, Bongers M, Schnack HG, Mandl RCW, Van Haren NEM, Durston S, Koning H, Van Der Linden JA, Kahn RS. Brain morphology in antipsychotic-naïve schizophrenia: A study of multiple brain structures. Br J Psychiatry 2018; 43:s66-72. [PMID: 12271803 DOI: 10.1192/bjp.181.43.s66] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BackgroundAlthough brain volume changes are found in schizophrenia, only a limited number of structural magnetic resonance imaging studies have exclusively examined antipsychotic-naïve patients.AimsTo comprehensively investigate multiple brain structures in a single sample of patients who were antipsychotic-naïve.MethodTwenty antipsychotic-naïve patients with first-episode schizophrenia and 20 healthy comparison subjects were included. Intracranial, total brain, frontal lobe, grey and white matter, cerebellar, hippocampal, parahippocampal, thalamic, caudate nucleus and lateral and third ventricular volumes were measured. Repeated-measures analyses of (co)variance were conducted with intracranial volume as covariate.ResultsThird ventricle volume enlargement was found in patients compared with the healthy subjects. No differences were found in other brain regions.ConclusionsThese findings suggest that some brain abnormalities are present in the early stages of schizophrenia. Moreover, it suggests that brain abnormalities reported in patients with chronic schizophrenia develop in a later stage of the disease and/or are medication induced.
Collapse
Affiliation(s)
- W Cahn
- Department of Psychiatry, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
42
|
Terpstra AR, Girard TA, Colella B, Green REA. Higher Anxiety Symptoms Predict Progressive Hippocampal Atrophy in the Chronic Stages of Moderate to Severe Traumatic Brain Injury. Neurorehabil Neural Repair 2017; 31:1063-1071. [PMID: 29153039 DOI: 10.1177/1545968317736817] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND In the chronic stages of moderate-severe traumatic brain injury (TBI), progressive hippocampal volume loss-continuing well after acute neurological insults have resolved-has now been well documented. Previous research in other populations suggests that elevated anxiety symptoms are associated with compromise to the medial temporal lobes. OBJECTIVE To examine whether higher anxiety symptoms predict greater hippocampal volume loss in moderate-severe TBI. METHODS We conducted an analysis of prospectively collected, longitudinal behavioral and magnetic resonance imaging (MRI) data from 5 to 12 to 30 months post-injury. Eighty participants were included in the study, with anxiety symptom and MRI data collected at a minimum of 2 time points. Correlational and bivariate latent difference score (with imputation) analyses were used to examine the relationship of Beck Anxiety Inventory scores with hippocampal volume loss, while controlling for depressive symptoms and total brain volume. RESULTS Analyses revealed that higher anxiety symptoms at 5 and at 12 months following moderate-severe TBI predicted significant later volume loss in the right hippocampal complex and the right hippocampal head. Right hippocampal volume and volume change did not predict subsequent anxiety scores or anxiety change scores. CONCLUSIONS These novel findings implicate anxiety symptoms as a possible predictor of progressive hippocampal volume loss in the chronic stages of moderate-severe TBI.
Collapse
Affiliation(s)
- Alex R Terpstra
- 1 Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.,2 University of Toronto, Toronto, Ontario, Canada
| | | | - Brenda Colella
- 1 Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Robin E A Green
- 1 Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada.,2 University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
43
|
Coronal Plane Magnetic Resonance Imaging Measurement of Hippocampal Formation Volume of Healthy Chinese Adults. J Craniofac Surg 2017; 28:2165-2167. [PMID: 29088694 DOI: 10.1097/scs.0000000000000287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
The aim of this study was to provide hippocampal formation volume data for the clinic and diagnoses of the related diseases for healthy Chinese adult. Three-dimensional fast-spoiled gradient echo magnetic resonance imaging sequence scanning was used in 68 cases of healthy adult brain to gain the image between lateral border of bilateral fourth ventricle and vitreous body. The image then was divided into 10 equal parts in the sagittal plane. We draw the outline and then obtain the area and volume of the hippocampal formation in each part, and the data were analyzed using SPSS 17.0 software. Results of the research showed that the volume of the hippocampal in healthy Chinese adult left side is ∼2319.87 to 2602.47 mm, right side is ∼2443.96 to 2755.89 mm; male left side is ∼2135.00 to 2494.29 mm, right side is -2350.21 to 2745.61 mm; female left side is ∼2328.13 to 2748.41 mm, right side is ∼2398.41 to 2909.48 mm. The volume of hippocampal absence correlated with age (P > 0.05), youth group. The volume of hippocampal has significant sexual difference (t = 2.500, P < 0.05). The volumes of the left and right sides have significant difference (t = 2.571, P < 0.05). For the female group (middle-age and youth), the volumes of right side hippocampal have significant difference (P < 0.05).
Collapse
|
44
|
In vivo estimation of normal amygdala volume from structural MRI scans with anatomical-based segmentation. Surg Radiol Anat 2017; 40:145-157. [DOI: 10.1007/s00276-017-1915-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2017] [Accepted: 08/23/2017] [Indexed: 01/23/2023]
|
45
|
Regional brain volume reduction and cognitive outcomes in preterm children at low risk at 9 years of age. Childs Nerv Syst 2017; 33:1317-1326. [PMID: 28484867 DOI: 10.1007/s00381-017-3421-2] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Accepted: 04/19/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVE More information is needed on "low-risk" preterm infants' neurological outcome so that they can be included in follow-up programs. A prospective study was performed to examine the regional brain volume changes compared to term children and to assess the relationship between the regional brain volumes to cognitive outcome of the low-risk preterm children at 9 years of age. PATIENTS Subjects comprised 22 preterm children who were determined to be at low risk for neurodevelopmental deficits with a gestational age between 28 and 33 weeks without a major neonatal morbidity in the neonatal period and 24 age-matched term control children term and matched for age, sex, and parental educational and occupational status. METHODS Regional volumetric analysis was performed for cerebellum, hippocampus, and corpus callosum area. Cognitive outcomes of both preterm and control subjects were assessed by Weschler Intelligence Scale for Children Revised (Turkish version), and attention and executive functions were assessed by Wisconsin Card Sorting Test and Stroop Test TBAG version. RESULTS Low-risk preterm children showed regional brain volume reduction in cerebellum, hippocampus, and corpus callosum area and achieved statistical significance when compared with term control. When the groups were compared for all WISC-R subscale scores, preterm children at low risk had significantly lower scores on information, vocabulary, similarities, arithmetics, picture completion, block design, object assembly, and coding compared to children born at term. Preterm and term groups were compared on the Stroop Test for mistakes and corrections made on each card, the time spent for completing each card, and total mistakes and corrections. In the preterm group, we found a positive correlation between regional volumes with IQ, attention, and executive function scores. Additionally, a significant correlation was found between cerebellar volume and attention and executive function scores in the preterm group. CONCLUSION Low-risk preterm children achieve lower scores in neurophysiological tests than children born at term. Preterm birth itself has a significant impact on regional brain volumes and cognitive outcome of children at 9 years of age. It is a risk factor for regional brain volume reductions in preterm children with low risk for neurodevelopmental deficits. The significant interaction between cerebellar volume reduction and executive function and attention may suggest that even in preterm children at low risk can have different trajectories in the growth and development of overall brain structure.
Collapse
|
46
|
Sahin S, Okluoglu Önal T, Cinar N, Bozdemir M, Çubuk R, Karsidag S. Distinguishing Depressive Pseudodementia from Alzheimer Disease: A Comparative Study of Hippocampal Volumetry and Cognitive Tests. Dement Geriatr Cogn Dis Extra 2017; 7:230-239. [PMID: 28868066 PMCID: PMC5566711 DOI: 10.1159/000477759] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 05/18/2017] [Indexed: 12/24/2022] Open
Abstract
Background and Aim Depressive pseudodementia (DPD) is a condition which may develop secondary to depression. The aim of this study was to contribute to the differential diagnosis between Alzheimer disease (AD) and DPD by comparing the neurocognitive tests and hippocampal volume. Materials and Methods Patients who met criteria of AD/DPD were enrolled in the study. All patients were assessed using the Wechsler Memory Scale (WMS), clock-drawing test, Stroop test, Benton Facial Recognition Test (BFRT), Boston Naming Test, Mini-Mental State Examination (MMSE), and Geriatric Depression Scale (GDS). Hippocampal volume was measured by importing the coronal T1-weighted magnetic resonance images to the Vitrea 2 workstation. Results A significant difference was found between the AD and DPD groups on the WMS test, clock-drawing test, Stroop test, Boston Naming Test, MMSE, GDS, and left hippocampal volume. A significant correlation between BFRT and bilateral hippocampal volumes was found in the AD group. No correlation was found among parameters in DPD patients. Conclusions Our results suggest that evaluation of facial recognition and left hippocampal volume may provide more reliable evidence for distinguishing DPD from AD. Further investigations combined with functional imaging techniques including more patients are needed.
Collapse
Affiliation(s)
- Sevki Sahin
- Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey
| | - Tugba Okluoglu Önal
- Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey
| | - Nilgun Cinar
- Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey
| | - Meral Bozdemir
- Department of Psychology, Faculty of Humanities and Social Sciences, Maltepe University, Istanbul, Turkey
| | - Rahmi Çubuk
- Department of Radiology, Faculty of Medicine, Maltepe University, Istanbul, Turkey
| | - Sibel Karsidag
- Department of Neurology, Faculty of Medicine, Maltepe University, Istanbul, Turkey
| |
Collapse
|
47
|
Mori S, Kageyama Y, Hou Z, Aggarwal M, Patel J, Brown T, Miller MI, Wu D, Troncoso JC. Elucidation of White Matter Tracts of the Human Amygdala by Detailed Comparison between High-Resolution Postmortem Magnetic Resonance Imaging and Histology. Front Neuroanat 2017; 11:16. [PMID: 28352217 PMCID: PMC5348491 DOI: 10.3389/fnana.2017.00016] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Accepted: 02/20/2017] [Indexed: 11/13/2022] Open
Abstract
The amygdala has attracted considerable research interest because of its potential involvement in various neuropsychiatric disorders. Recently, attempts have been made using magnetic resonance imaging (MRI) to evaluate the integrity of the axonal connections to and from the amygdala under pathological conditions. Although amygdalar pathways have been studied extensively in animal models, anatomical references for the human brain are limited to histology-based resources from a small number of slice locations, orientations and annotations. In the present study, we performed high-resolution (250 μm) MRI of postmortem human brains followed by serial histology sectioning. The histology data were used to identify amygdalar pathways, and the anatomical delineation of the assigned structures was extended into 3D using the MRI data. We were able to define the detailed anatomy of the stria terminalis and amygdalofugal pathway, as well as the anatomy of the nearby basal forebrain areas, including the substantia innominata. The present results will help us understand in detail the white matter structures associated with the amygdala, and will serve as an anatomical reference for the design of in vivo MRI studies and interpretation of their data.
Collapse
Affiliation(s)
- Susumu Mori
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Yusuke Kageyama
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Zhipeng Hou
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Manisha Aggarwal
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Jaymin Patel
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Timothy Brown
- Center for Imaging Science, Johns Hopkins University Baltimore, MD, USA
| | - Michael I Miller
- Center for Imaging Science, Johns Hopkins UniversityBaltimore, MD, USA; Institute for Computational Medicine, Johns Hopkins UniversityBaltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of MedicineBaltimore, MD, USA
| | - Dan Wu
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine Baltimore, MD, USA
| | - Juan C Troncoso
- Department of Pathology, Division of Neuropathology, Johns Hopkins University School of Medicine Baltimore, MD, USA
| |
Collapse
|
48
|
Aghamohammadi-Sereshki A, Huang Y, Olsen F, Malykhin NV. In vivo quantification of amygdala subnuclei using 4.7 T fast spin echo imaging. Neuroimage 2017; 170:151-163. [PMID: 28288907 DOI: 10.1016/j.neuroimage.2017.03.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 03/03/2017] [Accepted: 03/07/2017] [Indexed: 11/15/2022] Open
Abstract
The amygdala (AG) is an almond-shaped heterogeneous structure located in the medial temporal lobe. The majority of previous structural Magnetic Resonance Imaging (MRI) volumetric methods for AG measurement have so far only been able to examine this region as a whole. In order to understand the role of the AG in different neuropsychiatric disorders, it is necessary to understand the functional role of its subnuclei. The main goal of the present study was to develop a reliable volumetric method to delineate major AG subnuclei groups using ultra-high resolution high field MRI. 38 healthy volunteers (15 males and 23 females, 21-60 years of age) without any history of medical or neuropsychiatric disorders were recruited for this study. Structural MRI datasets were acquired at 4.7 T Varian Inova MRI system using a fast spin echo (FSE) sequence. The AG was manually segmented into its five major anatomical subdivisions: lateral (La), basal (B), accessory basal (AB) nuclei, and cortical (Co) and centromedial (CeM) groups. Inter-(intra-) rater reliability of our novel volumetric method was assessed using intra-class correlation coefficient (ICC) and Dice's Kappa. Our results suggest that reliable measurements of the AG subnuclei can be obtained by image analysts with experience in AG anatomy. We provided a step-by-step segmentation protocol and reported absolute and relative volumes for the AG subnuclei. Our results showed that the basolateral (BLA) complex occupies seventy-eight percent of the total AG volume, while CeM and Co groups occupy twenty-two percent of the total AG volume. Finally, we observed no hemispheric effects and no gender differences in the total AG volume and the volumes of its subnuclei. Future applications of this method will help to understand the selective vulnerability of the AG subnuclei in neurological and psychiatric disorders.
Collapse
Affiliation(s)
| | - Yushan Huang
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Fraser Olsen
- Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada
| | - Nikolai V Malykhin
- Neuroscience and Mental Health Institute, Canada; Department of Biomedical Engineering, University of Alberta, Edmonton, Alberta, Canada.
| |
Collapse
|
49
|
Ramirez-Carmona R, Garcia-Lazaro HG, Dominguez-Corrales B, Aguilar-Castañeda E, Roldan-Valadez E. Main effects and interactions of cerebral hemispheres, gender, and age in the calculation of volumes and asymmetries of selected structures of episodic memory. FUNCTIONAL NEUROLOGY 2017; 31:257-264. [PMID: 28072386 DOI: 10.11138/fneur/2016.31.4.257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The aim of this study was to clarify the influence of anatomical (cerebral hemisphere) and demographic (age and gender) variables on the gray matter (GM) volumes and volumetric asymmetry indices (VAIs) of selected structures involved in episodic memory. A cross-sectional study was performed in 47 healthy volunteers. Neuropsychological evaluation revealed similar IQs across the sample. Using SPM-based software, brain segmentation, labeling and volume measurements of the hippocampus, amygdala, middle temporal gyrus and parahippocampal gyrus were performed in each cerebral hemisphere. A two-way between-groups multivariate analysis of covariance (MANCOVA) was applied to GM volumes and VAIs. The main effects of gender and cerebral hemisphere on GM volumes were significant (p < .001), while there was no significant interaction effect between gender and cerebral hemisphere. VAI measurements showed a nonsignificant effect of gender, but a significant influence of age (p = .015). The linear model of interactions and main effects explained 33% of the variance influencing the GM volume quantification. While cerebral hemisphere and gender were found to affect the volumes of brain structures involved in episodic memory, the calculation of VAIs was affected only by age. A comprehensive understanding of the main effects and interaction effects of cerebral hemisphere, gender and age on the volumes and asymmetries of structures related to episodic memory might help neurologists, psychiatrists, geriatricians and other neuroscientists in the study of degenerative brain diseases.
Collapse
|
50
|
Seo YJ, Kim J, Kim SH. The change of hippocampal volume and its relevance with inner ear function in Meniere's disease patients. Auris Nasus Larynx 2016; 43:620-5. [DOI: 10.1016/j.anl.2016.01.006] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2015] [Revised: 01/06/2016] [Accepted: 01/14/2016] [Indexed: 10/22/2022]
|