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Fragueiro A, Cury C, Santacroce F, Burles F, Iaria G, Committeri G. Medial positioning of the hippocampus and hippocampal fissure volume in developmental topographical disorientation. Hippocampus 2024; 34:204-216. [PMID: 38214182 DOI: 10.1002/hipo.23599] [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: 07/25/2023] [Revised: 11/08/2023] [Accepted: 12/18/2023] [Indexed: 01/13/2024]
Abstract
Developmental topographical disorientation (DTD) refers to the lifelong inability to orient by means of cognitive maps in familiar surroundings despite otherwise well-preserved general cognitive functions, and the absence of any acquired brain injury or neurological condition. While reduced functional connectivity between the hippocampus and other brain regions has been reported in DTD individuals, no structural differences in gray matter tissue for the whole brain neither for the hippocampus were detected. Considering that the human hippocampus is the main structure associated with cognitive map-based navigation, here, we investigated differences in morphological and morphometric hippocampal features between individuals affected by DTD (N = 20) and healthy controls (N = 238). Specifically, we focused on a developmental anomaly of the hippocampus that is characterized by the incomplete infolding of hippocampal subfields during fetal development, giving the hippocampus a more round or pyramidal shape, called incomplete hippocampal inversion (IHI). We rated IHI according to standard criteria and extracted hippocampal subfield volumes after FreeSurfer's automatic segmentation. We observed similar IHI prevalence in the group of individuals with DTD with respect to the control population. Neither differences in whole hippocampal nor major hippocampal subfield volumes have been observed between groups. However, when assessing the IHI independent criteria, we observed that the hippocampus in the DTD group is more medially positioned comparing to the control group. In addition, we observed bigger hippocampal fissure volume for the DTD comparing to the control group. Both of these findings were stronger for the right hippocampus comparing to the left. Our results provide new insights regarding the hippocampal morphology of individuals affected by DTD, highlighting the role of structural anomalies during early prenatal development in line with the developmental nature of the spatial disorientation deficit.
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Affiliation(s)
- Agustina Fragueiro
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn-ERL U 1228, Rennes, France
| | - Claire Cury
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, Empenn-ERL U 1228, Rennes, France
| | - Federica Santacroce
- Department of Neuroscience, Imaging and Clinical Sciences, and ITAB, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
| | - Ford Burles
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Giuseppe Iaria
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Giorgia Committeri
- Department of Neuroscience, Imaging and Clinical Sciences, and ITAB, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy
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Reynolds M, Chaudhary T, Eshaghzadeh Torbati M, Tudorascu DL, Batmanghelich K. ComBat Harmonization: Empirical Bayes versus fully Bayes approaches. Neuroimage Clin 2023; 39:103472. [PMID: 37506457 PMCID: PMC10412957 DOI: 10.1016/j.nicl.2023.103472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 07/05/2023] [Accepted: 07/06/2023] [Indexed: 07/30/2023]
Abstract
Studying small effects or subtle neuroanatomical variation requires large-scale sample size data. As a result, combining neuroimaging data from multiple datasets is necessary. Variation in acquisition protocols, magnetic field strength, scanner build, and many other non-biologically related factors can introduce undesirable bias into studies. Hence, harmonization is required to remove the bias-inducing factors from the data. ComBat is one of the most common methods applied to features from structural images. ComBat models the data using a hierarchical Bayesian model and uses the empirical Bayes approach to infer the distribution of the unknown factors. The empirical Bayes harmonization method is computationally efficient and provides valid point estimates. However, it tends to underestimate uncertainty. This paper investigates a new approach, fully Bayesian ComBat, where Monte Carlo sampling is used for statistical inference. When comparing fully Bayesian and empirical Bayesian ComBat, we found Empirical Bayesian ComBat more effectively removed scanner strength information and was much more computationally efficient. Conversely, fully Bayesian ComBat better preserved biological disease and age-related information while performing more accurate harmonization on traveling subjects. The fully Bayesian approach generates a rich posterior distribution, which is useful for generating simulated imaging features for improving classifier performance in a limited data setting. We show the generative capacity of our model for augmenting and improving the detection of patients with Alzheimer's disease. Posterior distributions for harmonized imaging measures can also be used for brain-wide uncertainty comparison and more principled downstream statistical analysis.Code for our new fully Bayesian ComBat extension is available at https://github.com/batmanlab/BayesComBat.
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Affiliation(s)
- Maxwell Reynolds
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Blvd. Suite 500, Pittsburgh, PA 15206, USA.
| | - Tigmanshu Chaudhary
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Blvd. Suite 500, Pittsburgh, PA 15206, USA.
| | - Mahbaneh Eshaghzadeh Torbati
- Intelligent System Program, University of Pittsburgh School of Computing and Information, 210 South Bouquet Street, Pittsburgh, PA 15260, USA.
| | - Dana L Tudorascu
- Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213, USA; Department of Biostatistics, University of Pittsburgh, 130 De Soto Street, Pittsburgh, PA 15213, USA.
| | - Kayhan Batmanghelich
- Department of Biomedical Informatics, University of Pittsburgh School of Medicine, 5607 Baum Blvd. Suite 500, Pittsburgh, PA 15206, USA.
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Structural and Functional Deviations of the Hippocampus in Schizophrenia and Schizophrenia Animal Models. Int J Mol Sci 2022; 23:ijms23105482. [PMID: 35628292 PMCID: PMC9143100 DOI: 10.3390/ijms23105482] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 05/09/2022] [Accepted: 05/11/2022] [Indexed: 01/04/2023] Open
Abstract
Schizophrenia is a grave neuropsychiatric disease which frequently onsets between the end of adolescence and the beginning of adulthood. It is characterized by a variety of neuropsychiatric abnormalities which are categorized into positive, negative and cognitive symptoms. Most therapeutical strategies address the positive symptoms by antagonizing D2-dopamine-receptors (DR). However, negative and cognitive symptoms persist and highly impair the life quality of patients due to their disabling effects. Interestingly, hippocampal deviations are a hallmark of schizophrenia and can be observed in early as well as advanced phases of the disease progression. These alterations are commonly accompanied by a rise in neuronal activity. Therefore, hippocampal formation plays an important role in the manifestation of schizophrenia. Furthermore, studies with animal models revealed a link between environmental risk factors and morphological as well as electrophysiological abnormalities in the hippocampus. Here, we review recent findings on structural and functional hippocampal abnormalities in schizophrenic patients and in schizophrenia animal models, and we give an overview on current experimental approaches that especially target the hippocampus. A better understanding of hippocampal aberrations in schizophrenia might clarify their impact on the manifestation and on the outcome of this severe disease.
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He C, Ye L, Chen C, Hu L, Jin B, Ding Y, Li H, Ding M, Wang S, Wang S. Hippocampal Malrotation Could Be Less Significant in Epilepsy Caused by Focal Cortical Dysplasia Type I and Type II. Front Neurol 2022; 13:755022. [PMID: 35237224 PMCID: PMC8882826 DOI: 10.3389/fneur.2022.755022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/12/2022] [Indexed: 12/05/2022] Open
Abstract
Objectives Debates over the relationship between hippocampal malrotation (HIMAL) and epilepsy continue without consensus. This study explores the role of HIMAL in a cohort of epilepsy caused by focal cortical dysplasia (FCD). Methods In this study, 90 patients with epilepsy caused by FCD type I and type II and 48 healthy adults underwent a 3 Tesla MRI following a dedicated epilepsy protocol for the analysis of the prevalence and morphologic features of HIMAL. In addition, numerous clinical characteristics and hippocampal volumes were evaluated. Results The cohort included a total of 90 patients (32 were HIMAL, 58 were non-HIMAL). Among these patients, 32 (35.6%) had HIMAL (22 left, four right, and six bilateral), which did not differ from the 48 controls, where 16 (33.3%) had HIMAL (12 left, two right, and two bilateral). Neither the quantitative features of HIMAL (diameter ratio, dominant inferior temporal sulcus height ratio, medial distance ratio, dominant inferior temporal sulcus angle, and parahippocampal angle), nor the accompanying characteristics of HIMAL (vertical dominant inferior temporal sulcus, enlarged temporal horn, and a low position of ipsilateral fornix) showed differences between patients with FCD and controls. No statistical difference in the clinical characteristics between FCD patients with HIMAL and those without was found. Neither the side nor the existence of HIMAL was correlated with the lateralization and location of FCD. As to the hippocampal volume, there was no difference between FCD patients with HIMAL and those without. Conclusion Hippocampal malrotation is a common morphologic variant in healthy controls as well as in patients with epilepsy caused by FCD type I and type II. Hippocampal malrotation could be less significant in epilepsy caused by FCD type I and type II.
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Affiliation(s)
- Chenmin He
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lingqi Ye
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Cong Chen
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lingli Hu
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Bo Jin
- Department of Neurology, Zhejiang Provincial People's Hospital, Hangzhou, China
| | - Yao Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Hong Li
- Epilepsy Center, Department of Radiology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Meiping Ding
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shan Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Shan Wang
| | - Shuang Wang
- Epilepsy Center, Department of Neurology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Shuang Wang
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Choi S, Kim M, Park H, Kim T, Moon SY, Lho SK, Lee J, Kwon JS. Volume deficits in hippocampal subfields in unaffected relatives of schizophrenia patients with high genetic loading but without any psychiatric symptoms. Schizophr Res 2022; 240:125-131. [PMID: 34999371 DOI: 10.1016/j.schres.2021.12.037] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 12/22/2021] [Accepted: 12/24/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Hippocampal volume changes have been reported in schizophrenia patients and their relatives and are proposed to contribute to the pathophysiology of schizophrenia. However, volume changes in the total hippocampus have not been consistently reported in relatives. The hippocampus consists of multiple subregions, and based on previous inconsistent results, subtle changes in specific subregions may occur in relatives. Here, we examined the subregion volumes in unaffected, high-functioning relatives (URs) without any psychiatric symptoms with high genetic loading with at least one first-degree relative diagnosed with schizophrenia and at least one or more other affected first- to third-degree relatives. METHODS We acquired structural magnetic resonance imaging data from 50 URs, 101 first-episode psychosis (FEP) patients, and 101 healthy controls (HCs). The cornu ammonis (CA), dentate gyrus, and subiculum subfields were automatically segmented using FreeSurfer 7.1.0. Each subregion volume was compared across the groups. RESULTS Compared with the HCs, the URs had a significant volume reduction in the left anterior CA (p = 0.039, Cohen's d = 0.480). In addition, the URs had a significantly larger right posterior subiculum (p = 0.001, Cohen's d = 0.541) than the FEP. CONCLUSIONS The smaller left anterior CA in the URs may reflect their genetic vulnerability to schizophrenia and supports previous findings suggesting specific vulnerability in this region. The volume differences between the URs and FEP patients in the right posterior subiculum may suggest that a smaller volume in this region may reflect a risk for schizophrenia other than genetic vulnerability.
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Affiliation(s)
- Sunah Choi
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Minah Kim
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyungyou Park
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea
| | - Taekwan Kim
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea; Department of Bio and Brain Engineering, Information & Electronics Research Institute, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Sun-Young Moon
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Silvia Kyungjin Lho
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Junhee Lee
- Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jun Soo Kwon
- Department of Brain and Cognitive Sciences, Seoul National University College of Natural Sciences, Seoul, Republic of Korea; Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea; Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea; Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea.
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Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain. Neuroinformatics 2022; 20:109-137. [PMID: 33974213 PMCID: PMC8111663 DOI: 10.1007/s12021-021-09519-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/07/2021] [Indexed: 02/06/2023]
Abstract
We are now in a time of readily available brain imaging data. Not only are researchers now sharing data more than ever before, but additionally large-scale data collecting initiatives are underway with the vision that many future researchers will use the data for secondary analyses. Here I provide an overview of available datasets and some example use cases. Example use cases include examining individual differences, more robust findings, reproducibility-both in public input data and availability as a replication sample, and methods development. I further discuss a variety of considerations associated with using existing data and the opportunities associated with large datasets. Suggestions for further readings on general neuroimaging and topic-specific discussions are also provided.
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Kuseyri Hübschmann O, Mohr A, Friedman J, Manti F, Horvath G, Cortès-Saladelafont E, Mercimek-Andrews S, Yildiz Y, Pons R, Kulhánek J, Oppebøen M, Koht JA, Podzamczer-Valls I, Domingo-Jimenez R, Ibáñez S, Alcoverro-Fortuny O, Gómez-Alemany T, de Castro P, Alfonsi C, Zafeiriou DI, López-Laso E, Guder P, Santer R, Honzík T, Hoffmann GF, Garbade SF, Sivri HS, Leuzzi V, Jeltsch K, García-Cazorla A, Opladen T, Harting I. Brain MR patterns in inherited disorders of monoamine neurotransmitters: An analysis of 70 patients. J Inherit Metab Dis 2021; 44:1070-1082. [PMID: 33443316 DOI: 10.1002/jimd.12360] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/08/2021] [Accepted: 01/11/2021] [Indexed: 12/29/2022]
Abstract
Inherited monoamine neurotransmitter disorders (iMNDs) are rare disorders with clinical manifestations ranging from mild infantile hypotonia, movement disorders to early infantile severe encephalopathy. Neuroimaging has been reported as non-specific. We systematically analyzed brain MRIs in order to characterize and better understand neuroimaging changes and to re-evaluate the diagnostic role of brain MRI in iMNDs. 81 MRIs of 70 patients (0.1-52.9 years, 39 patients with tetrahydrobiopterin deficiencies, 31 with primary disorders of monoamine metabolism) were retrospectively analyzed and clinical records reviewed. 33/70 patients had MRI changes, most commonly atrophy (n = 24). Eight patients, six with dihydropteridine reductase deficiency (DHPR), had a common pattern of bilateral parieto-occipital and to a lesser extent frontal and/or cerebellar changes in arterial watershed zones. Two patients imaged after acute severe encephalopathy had signs of profound hypoxic-ischemic injury and a combination of deep gray matter and watershed injury (aromatic l-amino acid decarboxylase (AADCD), tyrosine hydroxylase deficiency (THD)). Four patients had myelination delay (AADCD; THD); two had changes characteristic of post-infantile onset neuronal disease (AADCD, monoamine oxidase A deficiency), and nine T2-hyperintensity of central tegmental tracts. iMNDs are associated with MRI patterns consistent with chronic effects of a neuronal disorder and signs of repetitive injury to cerebral and cerebellar watershed areas, in particular in DHPRD. These will be helpful in the (neuroradiological) differential diagnosis of children with unknown disorders and monitoring of iMNDs. We hypothesize that deficiency of catecholamines and/or tetrahydrobiopterin increase the incidence of and the CNS susceptibility to vascular dysfunction.
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Affiliation(s)
- Oya Kuseyri Hübschmann
- Department of Child Neurology and Metabolic Disorders, University Children's Hospital, Heidelberg, Germany
| | - Alexander Mohr
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
| | - Jennifer Friedman
- UCSD Departments of Neuroscience and Pediatrics; Rady Children's Hospital Division of Neurology, Rady Children's Institute for Genomic Medicine, San Diego, California, USA
| | - Filippo Manti
- Unit of Child Neurology and Psychiatry, Department of Human Neuroscience, Sapienza, University of Rome, Rome, Italy
| | - Gabriella Horvath
- University of British Columbia, Department of Pediatrics, Division of Biochemical Genetics, BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Elisenda Cortès-Saladelafont
- Inborn Errors of Metabolism Unit, Department of Neurology, Institut de Recerca Sant Joan de Déu and CIBERER-ISCIII, Barcelona, Spain
- Unit of Pediatric Neurology and Metabolic Disorders, Department of Pediatrics, Hospital Germans Trias i Pujol and Faculty of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Saadet Mercimek-Andrews
- Division of Clinical and Metabolic Genetics, Department of Pediatrics, University of Toronto, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Yilmaz Yildiz
- Faculty of Medicine, Department of Pediatrics, Section of Metabolism, Hacettepe University, Ankara, Turkey
| | - Roser Pons
- First Department of Pediatrics of the University of Athens, Aghia Sofia Hospital, Athens, Greece
| | - Jan Kulhánek
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Mari Oppebøen
- Children's Department, Division of Child Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway
| | | | - Inés Podzamczer-Valls
- Department of Neurology, Neurometabolic Unit, and Synaptic Metabolism Laboratory, Hospital Sant Joan de Déu, Esplugues de Llobregat, Barcelona, Spain
- Universitat de Barcelona, Barcelona, Spain
| | - Rosario Domingo-Jimenez
- Department of Pediatric Neurology, Hospital Virgen de la Arrixaca, Murcia, Madrid, Spain
- IMIB-Arrixaca, Murcia, CIBERER-ISCIII, Madrid, Spain
| | - Salvador Ibáñez
- Department of Pediatric Neurology, Hospital Virgen de la Arrixaca, Murcia, Madrid, Spain
| | - Oscar Alcoverro-Fortuny
- Service of Psychiatry, Hospital Benito Menni - Hospital General de Granollers, Barcelona, Spain
| | - Teresa Gómez-Alemany
- Service of Psychiatry, Hospital Benito Menni - Hospital General de Granollers, Barcelona, Spain
| | - Pedro de Castro
- Department of Pediatric Neurology, Hospital Gregorio Marañón, Madrid, Spain
| | - Chiara Alfonsi
- Inborn Errors of Metabolism Unit, Department of Neurology, Institut de Recerca Sant Joan de Déu and CIBERER-ISCIII, Barcelona, Spain
- Department of Human Neuroscience, Sapienza, University of Rome, Rome, Italy
| | - Dimitrios I Zafeiriou
- Child Neurology and Developmental Pediatrics, 1st Department of Pediatrics, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eduardo López-Laso
- Pediatric Neurology Unit, Department of Pediatrics, University Hospital Reina Sofía, IMIBIC and CIBERER, Córdoba, Spain
| | | | | | - Tomáš Honzík
- Department of Pediatrics and Inherited Metabolic Disorders, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Georg F Hoffmann
- Department of Child Neurology and Metabolic Disorders, University Children's Hospital, Heidelberg, Germany
| | - Sven F Garbade
- Department of Child Neurology and Metabolic Disorders, University Children's Hospital, Heidelberg, Germany
| | - H Serap Sivri
- Faculty of Medicine, Department of Pediatrics, Section of Metabolism, Hacettepe University, Ankara, Turkey
| | - Vincenzo Leuzzi
- Unit of Child Neurology and Psychiatry, Department of Human Neuroscience, Sapienza, University of Rome, Rome, Italy
| | - Kathrin Jeltsch
- Department of Child Neurology and Metabolic Disorders, University Children's Hospital, Heidelberg, Germany
| | - Angeles García-Cazorla
- Inborn Errors of Metabolism Unit, Department of Neurology, Institut de Recerca Sant Joan de Déu and CIBERER-ISCIII, Barcelona, Spain
| | - Thomas Opladen
- Department of Child Neurology and Metabolic Disorders, University Children's Hospital, Heidelberg, Germany
| | - Inga Harting
- Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany
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Roeske MJ, McHugo M, Vandekar S, Blackford JU, Woodward ND, Heckers S. Incomplete hippocampal inversion in schizophrenia: prevalence, severity, and impact on hippocampal structure. Mol Psychiatry 2021; 26:5407-5416. [PMID: 33437006 PMCID: PMC8589684 DOI: 10.1038/s41380-020-01010-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 12/16/2020] [Accepted: 12/17/2020] [Indexed: 11/09/2022]
Abstract
Incomplete hippocampal inversion (IHI) is an anatomical variant of the human brain resulting from an arrest in brain development, especially prevalent in the left hemisphere. We hypothesized that IHI is more common in schizophrenia and contributes to the well-known hippocampal structural differences. We studied 199 schizophrenia patients and 161 healthy control participants with 3 T MRI to establish IHI prevalence and the relationship of IHI with hippocampal volume and asymmetry. IHI was more prevalent (left hemisphere: 15% of healthy control participants, 27% of schizophrenia patients; right hemisphere: 4% of healthy control participants, 10% of schizophrenia patients) and more severe in schizophrenia patients compared to healthy control participants. Severe IHI cases were associated with a higher rate of automated segmentation failure. IHI contributed to smaller hippocampal volume and increased R > L volume asymmetry in schizophrenia. The increased prevalence and severity of IHI supports the neurodevelopmental model of schizophrenia. The impact of this developmental variant deserves further exploration in studies of the hippocampus in schizophrenia.
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Affiliation(s)
- Maxwell J. Roeske
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Maureen McHugo
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Simon Vandekar
- grid.412807.80000 0004 1936 9916Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN USA
| | - Jennifer Urbano Blackford
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA ,grid.413806.8Research Health Scientist, Research and Development, Veterans Affairs Medical Center, Nashville, TN USA
| | - Neil D. Woodward
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
| | - Stephan Heckers
- grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA
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