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Pierce ZP, Bogatz AS, Johnson ER, Lear BE, Nelson CC, Black JM. Left hemisphere lateralization of the limbic system and frontoparietal network (FPN) correlates with positive and negative symptom improvement following cannabidiol (CBD) administration in psychosis and ultra-high risk (UHR) populations: A voxel-wise meta-analysis. J Psychiatr Res 2024; 175:160-169. [PMID: 38735261 DOI: 10.1016/j.jpsychires.2024.05.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/09/2024] [Accepted: 05/08/2024] [Indexed: 05/14/2024]
Abstract
This voxel-wise meta-analysis assesses current findings about the neural correlates of cannabidiol on the positive and negative symptoms among individuals with psychosis or ultra-high risk (UHR) for psychosis. We used PubMed, EMBASE, and ScienceDirect as primary databases and initially retrieved 157 studies. After applying our eligibility criteria, 13 studies remained for inclusion. Ten studies focused on psychosis. Three studies focused on UHR. Quality assessment was performed for included articles using the RoB2 instrument. Statistical analysis implicated a voxel-wise meta-analysis of different task paradigms (emotion recognition, verbal memory recall, and inhibitory control) with a jackknife sensitivity measure, Egger's test of random effects, and a meta-regression with relevant covariates. Article quality was determined to be primarily low risk of bias, with some elements of unclear bias figuring across studies. Our results showed robust, convergent correlations between CBD administration and left hemisphere lateralization of limbic system and frontoparietal network (FPN) subregions across task paradigms in psychosis and UHR populations. Our meta-regression revealed that decreased limbic system activity correlated with positive symptom improvements, and decreased FPN activity correlated with negative symptom improvements. Lastly, sensitivity analyses determined that there was minimal risk bias or risk of confounding variables unduly influencing our meta-analyses (p > 0.05).
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Affiliation(s)
- Zachary P Pierce
- Community Behavioral Health Center, Riverside Community Care, Milford, MA, USA; Cell to Society Lab, Boston College School of Social Work, Chestnut Hill, MA, USA.
| | - Andrew S Bogatz
- Cell to Society Lab, Boston College School of Social Work, Chestnut Hill, MA, USA; Boston College School of Social Work, Chestnut Hill, MA, USA
| | - Emily R Johnson
- Cell to Society Lab, Boston College School of Social Work, Chestnut Hill, MA, USA; Primary Care Department, Boston Children's Hospital, Boston, MA, USA
| | - Brianna E Lear
- Cell to Society Lab, Boston College School of Social Work, Chestnut Hill, MA, USA
| | - Collin C Nelson
- Community Behavioral Health Center, Riverside Community Care, Milford, MA, USA
| | - Jessica M Black
- Cell to Society Lab, Boston College School of Social Work, Chestnut Hill, MA, USA; Boston College School of Social Work, Chestnut Hill, MA, USA
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2
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Yamazaki R, Matsumoto J, Ito S, Nemoto K, Fukunaga M, Hashimoto N, Kodaka F, Takano H, Hasegawa N, Yasuda Y, Fujimoto M, Yamamori H, Watanabe Y, Miura K, Hashimoto R. Longitudinal reduction in brain volume in patients with schizophrenia and its association with cognitive function. Neuropsychopharmacol Rep 2024; 44:206-215. [PMID: 38348613 PMCID: PMC10932790 DOI: 10.1002/npr2.12423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 03/14/2024] Open
Abstract
Establishing a brain biomarker for schizophrenia is strongly desirable not only to support diagnosis by psychiatrists but also to help track the progressive changes in the brain over the course of the illness. A brain morphological signature of schizophrenia was reported in a recent study and is defined by clusters of brain regions with reduced volume in schizophrenia patients compared to healthy individuals. This signature was proven to be effective at differentiating patients with schizophrenia from healthy individuals, suggesting that it is a good candidate brain biomarker of schizophrenia. However, the longitudinal characteristics of this signature have remained unclear. In this study, we examined whether these changes occurred over time and whether they were associated with clinical outcomes. We found a significant change in the brain morphological signature in schizophrenia patients with more brain volume loss than the natural, age-related reduction in healthy individuals, suggesting that this change can capture a progressive morphological change in the brain. We further found a significant association between changes in the brain morphological signature and changes in the full-scale intelligence quotient (IQ). The patients with IQ improvement showed preserved brain morphological signatures, whereas the patients without IQ improvement showed progressive changes in the brain morphological signature, suggesting a link between potential recovery of intellectual abilities and the speed of brain pathology progression. We conclude that the brain morphological signature is a brain biomarker that can be used to evaluate progressive changes in the brain that are associated with cognitive impairment due to schizophrenia.
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Affiliation(s)
- Ryuichi Yamazaki
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryThe Jikei University School of MedicineTokyoJapan
| | - Junya Matsumoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
| | - Satsuki Ito
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Department of Developmental and Clinical Psychology, The Division of Human Developmental Sciences, Graduate School of Humanity and SciencesOchanomizu UniversityTokyoJapan
| | - Kiyotaka Nemoto
- Department of Psychiatry, Institute of MedicineUniversity of TsukubaTsukubaJapan
| | - Masaki Fukunaga
- Section of Brain Function InformationNational Institute for Physiological SciencesOkazakiJapan
| | - Naoki Hashimoto
- Department of PsychiatryHokkaido University Graduate School of MedicineSapporoJapan
| | - Fumitoshi Kodaka
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryThe Jikei University School of MedicineTokyoJapan
| | - Harumasa Takano
- Department of Clinical Neuroimaging, Integrative Brain Imaging CenterNational Center of Neurology and PsychiatryKodairaJapan
| | - Naomi Hasegawa
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
| | - Yuka Yasuda
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Life Grow Brilliant Mental Clinic, Medical Corporation FosterOsakaJapan
| | - Michiko Fujimoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryOsaka University Graduate School of MedicineSuitaJapan
| | - Hidenaga Yamamori
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
- Department of PsychiatryOsaka University Graduate School of MedicineSuitaJapan
- Japan Community Health Care Organization Osaka HospitalOsakaJapan
| | | | - Kenichiro Miura
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
| | - Ryota Hashimoto
- Department of Pathology of Mental DiseasesNational Institute of Mental Health, National Center of Neurology and PsychiatryKodairaJapan
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Farmer CB, Roach EL, Bice LR, Falgout ME, Mata KG, Roche JK, Roberts RC. Excitatory and inhibitory imbalances in the trisynaptic pathway in the hippocampus in schizophrenia: a postmortem ultrastructural study. J Neural Transm (Vienna) 2023; 130:949-965. [PMID: 37193867 DOI: 10.1007/s00702-023-02650-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/05/2023] [Indexed: 05/18/2023]
Abstract
BACKGROUND A preponderance of evidence suggests that the hippocampus is a key region of dysfunction in schizophrenia. Neuroimaging and other studies indicate a relationship between hippocampal dysfunction and the degree of psychosis. Clinical data indicate hyperactivity in the hippocampus that precedes the onset of psychosis, and is correlated with symptom severity. In this study, we sought to identify circuitry at the electron microscopic level that could contribute to region-specific imbalances in excitation and inhibition in the hippocampus in schizophrenia. We used postmortem tissue from the anterior hippocampus from patients with schizophrenia and matched controls. Using stereological techniques, we counted and measured synapses, postsynaptic densities (PSDs), and evaluated size, number and optical density of mitochondria and parvalbumin-containing interneurons in key nodes of the trisynaptic pathway. Compared to controls, the schizophrenia group had decreased numbers of inhibitory synapses in CA3 and increased numbers of excitatory synapses in CA1; together, this indicates deficits in inhibition and an increase in excitation. The thickness of the PSD was larger in excitatory synapses in CA1, suggesting greater synaptic strength. In the schizophrenia group, there were fewer mitochondria in the dentate gyrus and a decrease in the optical density, a measure of functional integrity, in CA1. The number and optical density of parvalbumin interneurons were lower in CA3. The results suggest region-specific increases in excitatory circuitry, decreases in inhibitory neurotransmission and fewer or damaged mitochondria. These results are consistent with the hyperactivity observed in the hippocampus in schizophrenia in previous studies.
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Affiliation(s)
- Charlene B Farmer
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Erica L Roach
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Lily R Bice
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Madeleine E Falgout
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Kattia G Mata
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Joy K Roche
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA
| | - Rosalinda C Roberts
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Sparks Center 835C, 1720 7th Avenue South, Birmingham, AL, 35294, USA.
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Hu Z, Wang L, Zhu D, Qin R, Sheng X, Ke Z, Shao P, Zhao H, Xu Y, Bai F. Retinal Alterations as Potential Biomarkers of Structural Brain Changes in Alzheimer’s Disease Spectrum Patients. Brain Sci 2023; 13:brainsci13030460. [PMID: 36979270 PMCID: PMC10046312 DOI: 10.3390/brainsci13030460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Revised: 03/02/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023] Open
Abstract
Retinal imaging being a potential biomarker for Alzheimer’s disease is gradually attracting the attention of researchers. However, the association between retinal parameters and AD neuroimaging biomarkers, particularly structural changes, is still unclear. In this cross-sectional study, we recruited 25 cognitively impaired (CI) and 21 cognitively normal (CN) individuals. All subjects underwent retinal layer thickness and microvascular measurements with optical coherence tomography angiography (OCTA). Gray matter and white matter (WM) data such as T1-weighted magnetic resonance imaging and diffusion tensor imaging, respectively, were also collected. In addition, hippocampal subfield volumes and WM tract microstructural alterations were investigated as classical AD neuroimaging biomarkers. The microvascular and retinal features and their correlation with brain structural imaging markers were further analyzed. We observed a reduction in vessel density (VD) at the inferior outer (IO) sector (p = 0.049), atrophy in hippocampal subfield volumes, such as the subiculum (p = 0.012), presubiculum (p = 0.015), molecular_layer_HP (p = 0.033), GC-ML-DG (p = 0.043) and whole hippocampus (p = 0.033) in CI patients. Altered microstructural integrity of WM tracts in CI patients was also discovered in the cingulum hippocampal part (CgH). Importantly, we detected significant associations between retinal VD and gray matter volumes of the hippocampal subfield in CI patients. These findings suggested that the retinal microvascular measures acquired by OCTA may be markers for the early prediction of AD-related structural brain changes.
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Affiliation(s)
- Zheqi Hu
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Lianlian Wang
- Department of Neurology, Nanjing Drum Tower Hospital Clinical College of Jiangsu University, Nanjing 210008, China
| | - Dandan Zhu
- Department of Ophthalmology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing University, Nanjing 210008, China
| | - Ruomeng Qin
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Xiaoning Sheng
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Zhihong Ke
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Pengfei Shao
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Hui Zhao
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
| | - Feng Bai
- Department of Neurology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, and The State Key Laboratory of Pharmaceutical Biotechnology, Institute of Brain Science, Nanjing University, Nanjing 210008, China
- Geriatric Medicine Center, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, Nanjing 210008, China
- Correspondence: ; Tel.: +86-25-83105960
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Rogojin A, Gorbet DJ, Hawkins KM, Sergio LE. Differences in structural MRI and diffusion tensor imaging underlie visuomotor performance declines in older adults with an increased risk for Alzheimer's disease. Front Aging Neurosci 2023; 14:1054516. [PMID: 36711200 PMCID: PMC9877535 DOI: 10.3389/fnagi.2022.1054516] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 12/26/2022] [Indexed: 01/13/2023] Open
Abstract
Introduction Visuomotor impairments have been demonstrated in preclinical AD in individuals with a positive family history of dementia and APOE e4 carriers. Previous behavioral findings have also reported sex-differences in performance of visuomotor tasks involving a visual feedback reversal. The current study investigated the relationship between grey and white matter changes and non-standard visuomotor performance, as well as the effects of APOE status, family history of dementia, and sex on these brain-behavior relationships. Methods Older adults (n = 49) with no cognitive impairments completed non-standard visuomotor tasks involving a visual feedback reversal, plane-change, or combination of the two. Participants with a family history of dementia or who were APOE e4 carriers were considered at an increased risk for AD. T1-weighted anatomical scans were used to quantify grey matter volume and thickness, and diffusion tensor imaging measures were used to quantify white matter integrity. Results In APOE e4 carriers, grey and white matter structural measures were associated with visuomotor performance. Regression analyses showed that visuomotor deficits were predicted by lower grey matter thickness and volume in areas of the medial temporal lobe previously implicated in visuomotor control (entorhinal and parahippocampal cortices). This finding was replicated in the diffusion data, where regression analyses revealed that lower white matter integrity (lower FA, higher MD, higher RD, higher AxD) was a significant predictor of worse visuomotor performance in the forceps minor, forceps major, cingulum, inferior fronto-occipital fasciculus (IFOF), inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus (SLF), and uncinate fasciculus (UF). Some of these tracts overlap with those important for visuomotor integration, namely the forceps minor, forceps major, SLF, IFOF, and ILF. Conclusion These findings suggest that measuring the dysfunction of brain networks underlying visuomotor control in early-stage AD may provide a novel behavioral target for dementia risk detection that is easily accessible, non-invasive, and cost-effective. The results also provide insight into the structural differences in inferior parietal lobule that may underlie previously reported sex-differences in performance of the visual feedback reversal task.
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Affiliation(s)
- Alica Rogojin
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada,Centre for Vision Research, York University, Toronto, ON, Canada,Vision: Science to Applications (VISTA) Program, York University, Toronto, ON, Canada
| | - Diana J. Gorbet
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada,Centre for Vision Research, York University, Toronto, ON, Canada
| | - Kara M. Hawkins
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada
| | - Lauren E. Sergio
- School of Kinesiology and Health Science, York University, Toronto, ON, Canada,Centre for Vision Research, York University, Toronto, ON, Canada,*Correspondence: Lauren E. Sergio, ✉
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Panayi MC, Boerner T, Jahans-Price T, Huber A, Sprengel R, Gilmour G, Sanderson DJ, Harrison PJ, Walton ME, Bannerman DM. Glutamatergic dysfunction leads to a hyper-dopaminergic phenotype through deficits in short-term habituation: a mechanism for aberrant salience. Mol Psychiatry 2023; 28:579-87. [PMID: 36460723 DOI: 10.1038/s41380-022-01861-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 10/19/2022] [Accepted: 10/28/2022] [Indexed: 12/05/2022]
Abstract
Psychosis in disorders like schizophrenia is commonly associated with aberrant salience and elevated striatal dopamine. However, the underlying cause(s) of this hyper-dopaminergic state remain elusive. Various lines of evidence point to glutamatergic dysfunction and impairments in synaptic plasticity in the etiology of schizophrenia, including deficits associated with the GluA1 AMPAR subunit. GluA1 knockout (Gria1-/-) mice provide a model of impaired synaptic plasticity in schizophrenia and exhibit a selective deficit in a form of short-term memory which underlies short-term habituation. As such, these mice are unable to reduce attention to recently presented stimuli. In this study we used fast-scan cyclic voltammetry to measure phasic dopamine responses in the nucleus accumbens of Gria1-/- mice to determine whether this behavioral phenotype might be a key driver of a hyper-dopaminergic state. There was no effect of GluA1 deletion on electrically-evoked dopamine responses in anaesthetized mice, demonstrating normal endogenous release properties of dopamine neurons in Gria1-/- mice. Furthermore, dopamine signals were initially similar in Gria1-/- mice compared to controls in response to both sucrose rewards and neutral light stimuli. They were also equally sensitive to changes in the magnitude of delivered rewards. In contrast, however, these stimulus-evoked dopamine signals failed to habituate with repeated presentations in Gria1-/- mice, resulting in a task-relevant, hyper-dopaminergic phenotype. Thus, here we show that GluA1 dysfunction, resulting in impaired short-term habituation, is a key driver of enhanced striatal dopamine responses, which may be an important contributor to aberrant salience and psychosis in psychiatric disorders like schizophrenia.
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Chew QH, Prakash KNB, Koh LY, Chilla G, Yeow LY, Sim K. Neuroanatomical subtypes of schizophrenia and relationship with illness duration and deficit status. Schizophr Res 2022; 248:107-113. [PMID: 36030757 DOI: 10.1016/j.schres.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 07/21/2022] [Accepted: 08/15/2022] [Indexed: 10/15/2022]
Abstract
BACKGROUND The heterogeneity of schizophrenia (SCZ) regarding psychopathology, illness trajectory and their inter-relationships with underlying neural substrates remain incompletely understood. In a bid to reduce illness heterogeneity using neural substrates, our study aimed to replicate the findings of an earlier study by Chand et al. (2020). We employed brain structural measures for subtyping SCZ patients, and evaluate each subtype's relationship with clinical features such as illness duration, psychotic psychopathology, and additionally deficit status. METHODS Overall, 240 subjects (160 SCZ patients, 80 healthy controls) were recruited for this study. The participants underwent brain structural magnetic resonance imaging scans and clinical rating using the Positive and Negative Syndrome Scale. Neuroanatomical subtypes of SCZ were identified using "Heterogeneity through discriminative analysis" (HYDRA), a clustering technique which accounted for relevant covariates and the inter-group normalized percentage changes in brain volume were also calculated. RESULTS As replicated, two neuroanatomical subtypes (SG-1 and SG-2) were found amongst our patients with SCZ. The subtype SG-1 was associated with enlargements in the third and lateral ventricles, volume increase in the basal ganglia (putamen, caudate, pallidum), longer illness duration, and deficit status. The subtype SG-2 was associated with reductions of cortical and subcortical structures (hippocampus, thalamus, basal ganglia). CONCLUSIONS These replicated findings have clinical implications in the early intervention, response monitoring, and prognostication of SCZ. Future studies may adopt a multi-modal neuroimaging approach to enhance insights into the neurobiological composition of relevant subtypes.
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Affiliation(s)
- Qian Hui Chew
- Research Division, Institute of Mental Health, Singapore
| | - K N Bhanu Prakash
- Biophotonics & Bioimaging, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, Singapore; Clinical Data Analytics & Radiomics, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore
| | - Li Yang Koh
- Biophotonics & Bioimaging, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, Singapore
| | - Geetha Chilla
- Biophotonics & Bioimaging, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, Singapore; Clinical Data Analytics & Radiomics, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore
| | - Ling Yun Yeow
- Biophotonics & Bioimaging, Institute of Bioengineering and Bioimaging, Agency for Science, Technology and Research, Singapore; Clinical Data Analytics & Radiomics, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore
| | - Kang Sim
- West Region, Institute of Mental Health, Singapore.
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Menjivar Quijano SA, Ryczek CA, Horne MR. The effect of schizotypy on spatial learning in an environment with a distinctive shape. Front Psychol 2022; 13:929653. [PMID: 35967704 PMCID: PMC9373985 DOI: 10.3389/fpsyg.2022.929653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
In two experiments, participants completed the Oxford-Liverpool Inventory of Feelings and Experiences measuring schizotypal traits across four dimensions (unusual experiences, cognitive disorganization, introvertive anhedonia, and impulsive non-conformity). They then took part in a virtual navigation task where they were required to learn about the position of a hidden goal with reference to geometric cues of a rectangular arena or rely on colored wall panels to find the hidden goal in a square-shaped arena. Unusual experience and cognitive disorganization were significant predictors of the use of geometric cues, but no significant predictors were found for the use of wall panels. Implications to hippocampal function and the clinical domain are considered.
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Affiliation(s)
| | - Cameron A. Ryczek
- Department of Psychology, California State University, San Bernardino, San Bernardino, CA, United States
| | - Murray R. Horne
- Department of Psychology, California State University, East Bay, Hayward, CA, United States
- *Correspondence: Murray R. Horne,
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Lang X, Wang D, Chen D, Xiu M, Zhou H, Wang L, Cao B, Zhang X. Association Between Hippocampal Subfields and Clinical Symptoms of First-Episode and Drug Naive Schizophrenia Patients During 12 Weeks of Risperidone Treatment. Neurotherapeutics 2022; 19:399-407. [PMID: 35099766 PMCID: PMC9130442 DOI: 10.1007/s13311-021-01174-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2021] [Indexed: 01/03/2023] Open
Abstract
Small hippocampal size may be implicated in the pathogenesis and psychopathology of schizophrenia (SCZ). However, does the volume of hippocampal subfields in SCZ patients affect response to antipsychotic treatment? In this study, we used risperidone to treat first-episode drug naïve (FEDN) SCZ patients for 12 weeks, and then explored the relationship between baseline hippocampal subfield volumes, as well as any changes in these hippocampal subfield volumes during treatment, and improvement in their psychopathological symptoms. By adopting a state-of the-art automated algorithm, the hippocampal subfields were segmented in 43 FEDN SCZ inpatients at baseline and after 12 weeks of risperidone monotherapy, as well as in 30 matched healthy controls. We adopted the Positive and Negative Syndrome Scale (PANSS) to assess psychopathological symptoms in patients at baseline and at post-treatment. Before treatment, SCZ patients had no significant differences in total or subfield hippocampal volumes compared with healthy volunteers. However, we found a significant correlation between a smaller left CA1 at baseline and a lower PANSS total score and general psychopathology sub-score at post-treatment (both p < 0.05). Furthermore, the left CA1 at baseline was significantly smaller in responders, who had >50% improvement in PANSS total score, than in non-responders (p < 0.05). Our results suggest that smaller left CA1 volume may be a predicator for improvement in psychotic symptoms of FEDN SCZ patients.
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Affiliation(s)
- Xiaoe Lang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Dongmei Wang
- Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Dachun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Huixia Zhou
- Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Li Wang
- Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, T6G 2B7, Canada.
| | - Xiangyang Zhang
- Institute of Psychology, Key Laboratory of Mental Health, Chinese Academy of Sciences, Beijing, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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del Re EC, Zeng V, Alliey-rodriguez N, Lizano P, Bolo N, Lutz O, Pearlson G, Sweeney JA, Clementz BA, Gershon E, Tamminga CA, Keshavan MS. Anterior-posterior axis of hippocampal subfields across psychoses: A B-SNIP study. Biomark Neuropsychiatry 2021; 5:100037. [DOI: 10.1016/j.bionps.2021.100037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
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11
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Kraguljac NV, Carle M, Frölich MA, Tran S, Yassa MA, White DM, Reddy A, Lahti AC. Mnemonic Discrimination Deficits in First-Episode Psychosis and a Ketamine Model Suggest Dentate Gyrus Pathology Linked to NMDA Receptor Hypofunction. Biol Psychiatry Cogn Neurosci Neuroimaging 2021:S2451-9022(21)00261-5. [PMID: 34649019 DOI: 10.1016/j.bpsc.2021.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/17/2021] [Accepted: 09/12/2021] [Indexed: 11/23/2022]
Abstract
BACKGROUND Converging evidence from neuroimaging and postmortem studies suggests that hippocampal subfields are differentially affected in schizophrenia. Recent studies report dentate gyrus dysfunction in chronic schizophrenia, but the underlying mechanisms remain to be elucidated. Here, we sought to examine if this deficit is already present in first-episode psychosis and if NMDA receptor hypofunction, a putative central pathophysiological mechanism in schizophrenia, experimentally induced by ketamine, would result in a similar abnormality. METHODS We applied a mnemonic discrimination task selectively taxing pattern separation in two experiments: 1) a group of 23 patients with first-episode psychosis and 23 matched healthy volunteers and 2) a group of 19 healthy volunteers before and during a ketamine challenge (0.27 mg/kg over 10 min, then 0.25 mg/kg/hour for 50 min, 0.01 mL/s). We calculated response bias-corrected pattern separation and recognition scores. We also examined the relationships between task performance and symptom severity as well as ketamine levels. RESULTS We reported a deficit in pattern separation performance in patients with first-episode psychosis compared with healthy volunteers (p = .04) and in volunteers during the ketamine challenge compared with baseline (p = .003). Pattern recognition was lower in patients with first-episode psychosis than in control subjects (p < .01). Exploratory analyses revealed no correlation between task performance and Repeatable Battery for the Assessment of Neuropsychological Status total scores or positive symptoms in patients with first-episode psychosis or with ketamine serum levels. CONCLUSIONS We observed a mnemonic discrimination deficit in both datasets. Our findings suggest a tentative mechanistic link between dentate gyrus dysfunction in first-episode psychosis and NMDA receptor hypofunction.
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12
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Evermann U, Gaser C, Meller T, Pfarr JK, Grezellschak S, Nenadić I. Nonclinical psychotic-like experiences and schizotypy dimensions: Associations with hippocampal subfield and amygdala volumes. Hum Brain Mapp 2021; 42:5075-5088. [PMID: 34302409 PMCID: PMC8449098 DOI: 10.1002/hbm.25601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 07/09/2021] [Accepted: 07/12/2021] [Indexed: 12/02/2022] Open
Abstract
Schizotypy and psychotic‐like experiences (PLE) form part of the wider psychosis continuum and may have brain structural correlates in nonclinical cohorts. This study aimed to compare the effects of differential schizotypy dimensions, PLE, and their interaction on hippocampal subfields and amygdala volumes in the absence of clinical psychopathology. In a cohort of 367 psychiatrically healthy individuals, we assessed schizotypal traits using the Oxford‐Liverpool Inventory of Life Experiences (O‐LIFE) and PLE using the short form of the Prodromal Questionnaire (PQ‐16). Based on high‐resolution structural MRI scans, we used automated segmentation to estimate volumes of limbic structures. Sex and total intracranial volume (Step 1), PLE and schizotypy dimensions (Step 2), and their interaction terms (Step 3) were entered as regressors for bilateral amygdala and hippocampal subfield volumes in hierarchical multiple linear regression models. Positive schizotypy, but not PLE, was negatively associated with left amygdala and subiculum volumes. O‐LIFE Impulsive Nonconformity, as well as the two‐way interaction between positive schizotypy and PLE, were associated with larger left subiculum volumes. None of the estimators for right hemispheric hippocampal subfield volumes survived correction for multiple comparisons. Our findings support differential associations of hippocampus subfield volumes with trait dimensions rather than PLE, and support overlap and interactions between psychometric positive schizotypy and PLE. In a healthy cohort without current psychosis risk syndromes, the positive association between PLE and hippocampal subfield volume occurred at a high expression of positive schizotypy. Further studies combining stable, transient, and genetic parameters are required.
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Affiliation(s)
- Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Christian Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.,Department of Neurology, Jena University Hospital, Jena, Germany
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany
| | - Sarah Grezellschak
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.,Marburg University Hospital, UKGM, Marburg, Germany
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Marburg, Germany.,Center for Mind, Brain and Behavior (CMBB), Marburg, Germany.,Marburg University Hospital, UKGM, Marburg, Germany
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13
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Fan YS, Li H, Guo J, Pang Y, Li L, Hu M, Li M, Wang C, Sheng W, Liu H, Gao Q, Chen X, Zong X, Chen H. Tracking positive and negative symptom improvement in first-episode schizophrenia treated with risperidone using individual-level functional connectivity. Brain Connect 2021; 12:454-464. [PMID: 34210149 DOI: 10.1089/brain.2021.0061] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To improve the treatment outcomes of patients with schizophrenia, research efforts have focused on identifying brain-based markers of treatment response. Personal characteristics regarding disease-related behaviors likely stem from inter-individual variability in the organization of brain functional systems. This study aimed to track dimension-specific changes in psychotic symptoms following risperidone treatment using individual-level functional connectivity (FC). METHODS A reliable cortical parcellation approach that accounts for individual heterogeneity in cortical functional anatomy was used to localize functional regions in a longitudinal cohort, consisting of 42 drug-naive first-episodes schizophrenia (FES) patients at baseline and after 8 weeks of risperidone treatment. FC was calculated in individually specified brain regions and used to predict the baseline severity and improvement of positive and negative symptoms in FES. RESULTS Distinct sets of individual-specific FC were separately associated with the positive and negative symptom burden at baseline, which could be used to track the corresponding symptom resolution in FES patients following risperidone treatment. Between-network connections of the fronto-parietal network (FPN) contributed the most to predicting the positive symptom domain. A combination of between-network connections of the default mode network, FPN, and within-network connections of the FPN contributed markedly to the prediction model of negative symptom. CONCLUSION This novel study, which accounts for individual brain variation, take a step toward establishing individual-specific theranostic biomarkers in schizophrenia.
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Affiliation(s)
- Yun-Shuang Fan
- University of Electronic Science and Technology of China, 12599, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Chengdu, Sichuan, China;
| | - Haoru Li
- University of Electronic Science and Technology of China, 12599, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Chengdu, Sichuan, China;
| | - Jing Guo
- University of Electronic Science and Technology of China, 12599, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Chengdu, Sichuan, China;
| | - Yajing Pang
- School of Electrical Engineering, Zhengzhou University, Zhengzhou, China;
| | - Liang Li
- University of Electronic Science and Technology of China, 12599, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, Chengdu, Sichuan, China;
| | - Maolin Hu
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China, Changsha, China;
| | - Meiling Li
- University of Electronic Science and Technology of China, 610054, China, School of Life Science & Technology,, Chengdu, Sichuan, China.,Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA, Charlestown, United States;
| | - Chong Wang
- University of Electronic Science and Technology of China, 12599, The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, Chengdu, China.,University of Electronic Science and Technology of China, 12599, MOE Key Laboratory for Neuroinformation, High-Field Magnetic Resonance Brain Imaging Key Laboratory of Sichuan Province, Chengdu, China;
| | - Wei Sheng
- The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, PR China, chengdu, China;
| | - Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA, Charlestown, MA, United States;
| | - Qing Gao
- University of Electronic Science and Technology of China, 12599, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China, 610054;
| | - Xiaogang Chen
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China, Changsha, China;
| | - Xiaofen Zong
- Department of Psychiatry, the Second Xiangya Hospital, Central South University, Changsha, PR China, Changsha, China;
| | - Huafu Chen
- University of Electronic Science and Technology of China,, School of Life Science and Technology, University of Electronic Science and Technology of China, Sichuan,Chengdu 610054, China, chengdu, China, 610054;
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14
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Scheffler F, Du Plessis S, Asmal L, Kilian S, Phahladira L, Luckhoff HK, Emsley R. Cannabis use and hippocampal subfield volumes in males with a first episode of a schizophrenia spectrum disorder and healthy controls. Schizophr Res 2021; 231:13-21. [PMID: 33740561 DOI: 10.1016/j.schres.2021.02.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 01/25/2021] [Accepted: 02/27/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Both schizophrenia and cannabis use are associated with structural brain changes. The hippocampus is a region of particular interest due to its role in memory and select cognitive functions, impairment of which is a core feature of schizophrenia and has also been observed in substance abuse. This study aimed to explore the effects of recent/current cannabis use on hippocampal subfield volumes in male patients with first-episode schizophrenia spectrum disorders and matched controls. METHODS This cross-sectional, case-control study included 63 patients and 58 controls scanned on 3T MRI scanners, with hippocampal segmentation performed using recently validated Freesurfer v6.0 software. Cannabis use status was determined by self and carer report together with urine toxicology screening, and patients were categorised as recent/current users or non-users. We used multivariate analysis of covariance (MANCOVA) with age, scan sequence, scan quality, and total intracranial volume as covariates, with subsequent analysis of variance (ANOVA) to test the effects of diagnosis and cannabis use status on individual hippocampal subfields. RESULTS We found a group (patient/control) by cannabis use interaction effect in the subiculum, with decreased volumes observed in the cannabis non-using patients compared to the cannabis using patients, and decreased volumes in the cannabis using controls compared to the cannabis non-using controls. CONCLUSION The increased subiculum volume in cannabis using patients compared to cannabis non-using patients raises important questions regarding the pathophysiology of schizophrenia and the role of cannabis use therein.
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Affiliation(s)
- F Scheffler
- Department of Psychiatry, Stellenbosch University, South Africa.
| | - S Du Plessis
- Department of Psychiatry, Stellenbosch University, South Africa
| | - L Asmal
- Department of Psychiatry, Stellenbosch University, South Africa
| | - S Kilian
- Department of Psychiatry, Stellenbosch University, South Africa
| | - L Phahladira
- Department of Psychiatry, Stellenbosch University, South Africa
| | - H K Luckhoff
- Department of Psychiatry, Stellenbosch University, South Africa
| | - R Emsley
- Department of Psychiatry, Stellenbosch University, South Africa
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15
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Hoang D, Lizano P, Lutz O, Zeng V, Raymond N, Miewald J, Montrose D, Keshavan M. Thalamic, Amygdalar, and hippocampal nuclei morphology and their trajectories in first episode psychosis: A preliminary longitudinal study ✰. Psychiatry Res Neuroimaging 2021; 309:111249. [PMID: 33484937 PMCID: PMC7904670 DOI: 10.1016/j.pscychresns.2021.111249] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 12/20/2020] [Accepted: 01/06/2021] [Indexed: 11/19/2022]
Abstract
The thalamus, amygdala, and hippocampus play important pathophysiologic roles in psychosis. Few studies have prospectively examined subcortical nuclei in relation to predicting clinical outcomes after a first-episode of psychosis (FEP). Here, we examined volumetric differences and trajectories among subcortical nuclei in FEP patients and their associations with illness severity. Clinical and brain volume measures were collected using a 1.5T MRI scanner and processed using FreeSurfer 6.0 from a prospective study of antipsychotic-naïve FEP patients of FEP-schizophrenia (FEP-SZ) (baseline, n = 38; follow-up, n = 17), FEP non-schizophrenia (FEP-NSZ) (baseline, n = 23; follow-up, n = 13), and healthy controls (HCs) (baseline, n = 47; follow-up, n = 29). Compared to FEP-NSZ and HCs, FEP-SZ had significantly smaller thalamic anterior nuclei volume at baseline. Longitudinally, FEP-SZ showed a positive rate of change in the amygdala compared to controls or FEP-NSZ, as well as in the basal, central and accessory basal nuclei compared to FEP-NSZ. Enlargement in the thalamic anterior nuclei predicted a worsening in overall psychosis symptoms. Baseline thalamic anterior nuclei alterations further specify key subcortical regions associated with FEP-SZ pathophysiology. Longitudinally, anterior nuclei volume enlargement may signal symptomatic worsening. The amygdala and thalamus structures may show diagnostic differences between schizophrenia and non-schizophrenia psychoses, while the thalamus changes may reflect disease or treatment related changes in clinical outcome.
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Affiliation(s)
- Dung Hoang
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Paulo Lizano
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, MA, United States.
| | - Olivia Lutz
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Victor Zeng
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Nicolas Raymond
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - Jean Miewald
- Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, PA, United States
| | - Deborah Montrose
- Western Psychiatric Institute and Clinic, University of Pittsburgh, Pittsburgh, PA, United States
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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16
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Bielawski T, Albrechet-Souza L, Frydecka D. Endocannabinoid system in trauma and psychosis: distant guardian of mental stability. Rev Neurosci 2021; 32:707-722. [PMID: 33656307 DOI: 10.1515/revneuro-2020-0102] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 01/08/2021] [Indexed: 11/15/2022]
Abstract
Central endocannabinoid system (eCBS) is a neuromodulatory system that inhibits potentially harmful, excessive synaptic activation. Endocannabinoid receptors are abundant among brain structures pivotal in different mental disorders development (for example, hippocampus, amygdala, medial-prefrontal cortex, hypothalamus). Here, we review eCBS function in etiology of psychosis, emphasizing its role in dealing with environmental pressures such as traumatic life events. Moreover, we explore eCBS as a guard against hypothalamic-pituitary-adrenal axis over-activation, and discuss its possible role in etiology of different psychopathologies. Additionally, we review eCBS function in creating adaptive behavioral patterns, as we explore its involvement in the memory formation process, extinction learning and emotional response. We discuss eCBS in the context of possible biomarkers of trauma, and in preclinical psychiatric conditions, such as at-risk mental states and clinical high risk states for psychosis. Finally, we describe the role of eCBS in the cannabinoid self-medication-theory and extinction learning.
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Affiliation(s)
- Tomasz Bielawski
- Department of Psychiatry, Wroclaw Medical University, 10 Pasteur Street, 50-367Wroclaw, Poland.,Department of Physiology, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA70112, USA
| | - Lucas Albrechet-Souza
- Department of Physiology, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA70112, USA.,Alcohol & Drug Center of Excellence, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA70112, USA
| | - Dorota Frydecka
- Department of Psychiatry, Wroclaw Medical University, 10 Pasteur Street, 50-367Wroclaw, Poland
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17
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Schoretsanitis G, de Filippis R, Ntogka M, Leucht S, Correll CU, Kane JM. Matrix Metalloproteinase 9 Blood Alterations in Patients With Schizophrenia Spectrum Disorders: A Systematic Review and Meta-Analysis. Schizophr Bull 2021; 47:986-996. [PMID: 33491066 PMCID: PMC8266643 DOI: 10.1093/schbul/sbab001] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Matrix metalloproteinase 9 (MMP-9), an extracellular network protease implicated in glutamatergic signaling, may be part of the pathophysiology of schizophrenia spectrum disorders (SSD). METHODS We performed a systematic review in PubMed/Embase until July 15, 2020, conducting a random-effects meta-analysis of studies comparing MMP-9 blood levels in SSD vs healthy controls (HCs) and psychiatric controls (PCs), calculating between-group differences in standardized mean differences (SMDs) ± 95% confidence intervals (CIs). Meta-regression analyses included sex, age, illness duration, antipsychotic dose, and Positive and Negative Syndrome Scale (PANSS) total/subscales. Subgroup analyses included first-episode patients (FEP) vs non-FEP, each vs HCs and vs PCs, and blood sample type. Study quality was assessed using the Newcastle-Ottawa scale. RESULTS Four, five, and two trials were rated as high, fair, and low quality. In 11 studies (n = 1443), 643 patients (age = 36.7 ± 14.1 years, females = 42.9%) were compared with HCs (n = 631), with 4 studies including also 169 PCs. MMP-9 levels were higher in SSD vs HCs (SMD = 0.52, 95%CI = 0.20-0.85, P = .002), but not in PCs vs HCs (n = 132, after removing one implausible outlier [SMD = 0.33, 95%CI = -0.16 to 0.85, P = .082]). MMP-9 differences between SSD and HCs were associated with higher PANSS total (coefficient = 0.02, 95%CI = 0.01-0.02, P < .001), PANSS positive (coefficient = 0.08, 95%CI = 0.02-0.13, P = .006), and PANSS general scores (coefficient = 0.02, 95%CI = 0.01-0.03, P < .001). MMP-9 level differences vs HCs did not vary significantly between FEP (n = 103, SMD = 0.44, 95%CI = 0.15-0.72, P = .71) and non-FEP patients (n = 466, SMD = 0.59, 95%CI = 0.38-0.80; P = .34) (FEP vs non-FEP: P = .39). In four high-quality studies, MMP-9 levels remained significantly higher in SSD vs HCs (SMD = 0.82, 95%CI = 0.03-1.61). CONCLUSIONS Findings suggest MMP-9 upregulation in SSD, requiring further validation and understanding of related pathways.
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Affiliation(s)
- Georgios Schoretsanitis
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA,To whom correspondence should be addressed; 7559 263rd Street, Glen Oaks, NY 11004, USA; tel: +1 718-470-5914, fax: +1 718-343-7739, e-mail:
| | - Renato de Filippis
- Psychiatric Unit, Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Italy
| | - Maria Ntogka
- Department of Biology, University of Crete, Heraklion, Crete, Greece
| | - Stefan Leucht
- Department of Psychiatry and Psychotherapy, School of Medicine, Technical University of Munich, Munich, Germany,Department of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London, UK
| | - Christoph U Correll
- Department of Psychiatry and Molecular Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - John M Kane
- Department of Psychiatry, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA,Department of Psychiatry and Molecular Medicine, The Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA
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18
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Sasabayashi D, Yoshimura R, Takahashi T, Takayanagi Y, Nishiyama S, Higuchi Y, Mizukami Y, Furuichi A, Kido M, Nakamura M, Noguchi K, Suzuki M. Reduced Hippocampal Subfield Volume in Schizophrenia and Clinical High-Risk State for Psychosis. Front Psychiatry 2021; 12:642048. [PMID: 33828496 PMCID: PMC8019805 DOI: 10.3389/fpsyt.2021.642048] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 02/19/2021] [Indexed: 11/13/2022] Open
Abstract
Magnetic resonance imaging (MRI) studies in schizophrenia demonstrated volume reduction in hippocampal subfields divided on the basis of specific cytoarchitecture and function. However, it remains unclear whether this abnormality exists prior to the onset of psychosis and differs across illness stages. MRI (3 T) scans were obtained from 77 patients with schizophrenia, including 24 recent-onset and 40 chronic patients, 51 individuals with an at-risk mental state (ARMS) (of whom 5 subsequently developed psychosis within the follow-up period), and 87 healthy controls. Using FreeSurfer software, hippocampal subfield volumes were measured and compared across the groups. Both schizophrenia and ARMS groups exhibited significantly smaller volumes for the bilateral Cornu Ammonis 1 area, left hippocampal tail, and right molecular layer of the hippocampus than the healthy control group. Within the schizophrenia group, chronic patients exhibited a significantly smaller volume for the left hippocampal tail than recent-onset patients. The left hippocampal tail volume was positively correlated with onset age, and negatively correlated with duration of psychosis and duration of medication in the schizophrenia group. Reduced hippocampal subfield volumes observed in both schizophrenia and ARMS groups may represent a common biotype associated with psychosis vulnerability. Volumetric changes of the left hippocampal tail may also suggest ongoing atrophy after the onset of schizophrenia.
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Affiliation(s)
- Daiki Sasabayashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Ryo Yoshimura
- Faculty of Medicine, University of Toyama, Toyama, Japan
| | - Tsutomu Takahashi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yoichiro Takayanagi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Arisawabashi Hospital, Toyama, Japan
| | - Shimako Nishiyama
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Health Administration Center, University of Toyama, Toyama, Japan
| | - Yuko Higuchi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Yuko Mizukami
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Atsushi Furuichi
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mikio Kido
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Mihoko Nakamura
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
| | - Kyo Noguchi
- Department of Radiology, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, University of Toyama Graduate School of Medicine and Pharmaceutical Sciences, Toyama, Japan.,Research Center for Idling Brain Science, University of Toyama, Toyama, Japan
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19
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Sämann PG, Iglesias JE, Gutman B, Grotegerd D, Leenings R, Flint C, Dannlowski U, Clarke‐Rubright EK, Morey RA, Erp TG, Whelan CD, Han LKM, Velzen LS, Cao B, Augustinack JC, Thompson PM, Jahanshad N, Schmaal L. FreeSurfer
‐based segmentation of hippocampal subfields: A review of methods and applications, with a novel quality control procedure for
ENIGMA
studies and other collaborative efforts. Hum Brain Mapp 2020; 43:207-233. [PMID: 33368865 PMCID: PMC8805696 DOI: 10.1002/hbm.25326] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Revised: 11/26/2020] [Accepted: 12/13/2020] [Indexed: 12/11/2022] Open
Abstract
Structural hippocampal abnormalities are common in many neurological and psychiatric disorders, and variation in hippocampal measures is related to cognitive performance and other complex phenotypes such as stress sensitivity. Hippocampal subregions are increasingly studied, as automated algorithms have become available for mapping and volume quantification. In the context of the Enhancing Neuro Imaging Genetics through Meta Analysis Consortium, several Disease Working Groups are using the FreeSurfer software to analyze hippocampal subregion (subfield) volumes in patients with neurological and psychiatric conditions along with data from matched controls. In this overview, we explain the algorithm's principles, summarize measurement reliability studies, and demonstrate two additional aspects (subfield autocorrelation and volume/reliability correlation) with illustrative data. We then explain the rationale for a standardized hippocampal subfield segmentation quality control (QC) procedure for improved pipeline harmonization. To guide researchers to make optimal use of the algorithm, we discuss how global size and age effects can be modeled, how QC steps can be incorporated and how subfields may be aggregated into composite volumes. This discussion is based on a synopsis of 162 published neuroimaging studies (01/2013–12/2019) that applied the FreeSurfer hippocampal subfield segmentation in a broad range of domains including cognition and healthy aging, brain development and neurodegeneration, affective disorders, psychosis, stress regulation, neurotoxicity, epilepsy, inflammatory disease, childhood adversity and posttraumatic stress disorder, and candidate and whole genome (epi‐)genetics. Finally, we highlight points where FreeSurfer‐based hippocampal subfield studies may be optimized.
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Affiliation(s)
| | - Juan Eugenio Iglesias
- Centre for Medical Image Computing University College London London UK
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
- Computer Science and AI Laboratory (CSAIL), Massachusetts Institute of Technology (MIT) Cambridge Massachusetts US
| | - Boris Gutman
- Department of Biomedical Engineering Illinois Institute of Technology Chicago USA
| | | | - Ramona Leenings
- Department of Psychiatry University of Münster Münster Germany
| | - Claas Flint
- Department of Psychiatry University of Münster Münster Germany
- Department of Mathematics and Computer Science University of Münster Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster Münster Germany
| | - Emily K. Clarke‐Rubright
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Rajendra A. Morey
- Brain Imaging and Analysis Center, Duke University Durham North Carolina USA
- VISN 6 MIRECC, Durham VA Durham North Carolina USA
| | - Theo G.M. Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior University of California Irvine California USA
- Center for the Neurobiology of Learning and Memory University of California Irvine Irvine California USA
| | - Christopher D. Whelan
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Laura K. M. Han
- Department of Psychiatry Amsterdam University Medical Centers, Vrije Universiteit and GGZ inGeest, Amsterdam Neuroscience Amsterdam The Netherlands
| | - Laura S. Velzen
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry University of Alberta Edmonton Canada
| | - Jean C. Augustinack
- The Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology Massachusetts General Hospital/Harvard Medical School Boston Massachusetts US
| | - Paul M. Thompson
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Neda Jahanshad
- Imaging Genetics Center Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California Los Angeles California USA
| | - Lianne Schmaal
- Orygen Parkville Australia
- Centre for Youth Mental Health The University of Melbourne Melbourne Australia
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20
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Hu N, Luo C, Zhang W, Yang X, Xiao Y, Sweeney JA, Lui S, Gong Q. Hippocampal subfield alterations in schizophrenia: A selective review of structural MRI studies. Biomark Neuropsychiatry 2020. [DOI: 10.1016/j.bionps.2020.100026] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
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21
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Mancini V, Sandini C, Padula MC, Zöller D, Schneider M, Schaer M, Eliez S. Positive psychotic symptoms are associated with divergent developmental trajectories of hippocampal volume during late adolescence in patients with 22q11DS. Mol Psychiatry 2020; 25:2844-2859. [PMID: 31164700 DOI: 10.1038/s41380-019-0443-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 05/04/2019] [Accepted: 05/13/2019] [Indexed: 12/17/2022]
Abstract
Low hippocampal volume is a consistent finding in schizophrenia and across the psychosis spectrum. However, there is a lack of studies investigating longitudinal hippocampal development and its relationship with psychotic symptoms. The 22q11.2 deletion syndrome (22q11DS) has proven to be a remarkable model for the prospective study of individuals at high risk of schizophrenia to unravel the pathophysiological processes predating the onset of psychosis. Repeated cerebral MRIs were acquired from 140 patients with 22q11DS (53 experiencing moderate-to-severe psychotic symptoms) and 135 healthy controls aged from 6 to 35 years and with up to 5 time points per participant. Hippocampal subfield analysis was conducted using FreeSurfer-v.6 and FIRST-FSL. Then, whole hippocampal and subfield volumes were compared across the groups. Relative to controls, patients with 22q11DS showed a remarkably lower volume of all subfields except for CA2/3. No divergent trajectories in hippocampal development were found. When comparing patients with 22q11DS exhibiting psychotic symptoms to those without psychosis, we detected a volume decrease during late adolescence, starting in CA1 and spreading to other subfields. Our findings suggested that hippocampal volume is consistently smaller in patients with 22q11DS. Moreover, we have demonstrated that patients with 22q11DS and psychotic symptoms undergo a further decrease in volume during adolescence, a vulnerable period for the emergence of psychosis. Interestingly, CA2/3, despite being affected in patients with psychotic symptoms, was the only area not reduced in patients with 22q11DS relative to controls, thus suggesting that its atrophy exclusively correlates with the presence of positive psychotic symptoms.
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Affiliation(s)
- Valentina Mancini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.
| | - Corrado Sandini
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Maria C Padula
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Daniela Zöller
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Institute of Bioengineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Maude Schneider
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Department of Neuroscience, Center for Contextual Psychiatry, Research Group Psychiatry, KU Leuven, Leuven, Belgium
| | - Marie Schaer
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland
| | - Stephan Eliez
- Developmental Imaging and Psychopathology Laboratory, University of Geneva School of Medicine, Geneva, Switzerland.,Department of Genetic Medicine and Development, University of Geneva School of Medicine, Geneva, Switzerland
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22
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Nakamura Y, Okada N, Koshiyama D, Kamiya K, Abe O, Kunimatsu A, Okanoya K, Kasai K, Koike S. Differences in Functional Connectivity Networks Related to the Midbrain Dopaminergic System-Related Area in Various Psychiatric Disorders. Schizophr Bull 2020; 46:1239-1248. [PMID: 31901932 PMCID: PMC7505191 DOI: 10.1093/schbul/sbz121] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Disruptions in the dopamine system have been observed in psychiatric disorders. Since dopamine is mainly produced in the ventral tegmental area (VTA), elucidating the differences in the VTA neural network across psychiatric disorders would facilitate a greater understanding of the pathophysiological mechanisms underlying these disorders. However, no study has compared VTA-seed-based functional connectivity across psychiatric disorders. Therefore, we conducted a resting-state functional magnetic resonance imaging (rs-fMRI) study to perform a seed-based fMRI analysis, using the VTA as a seed. METHODS We included participants with major depressive disorder (MDD; n = 45), schizophrenia (n = 32), and bipolar disorder (BPD; n = 30), along with healthy control participants (n = 46) who were matched for age, gender, and handedness. RESULTS The results showed that patients with MDD and BPD had altered VTA-related connectivity in the superior frontal gyrus, frontal pole regions, hippocampus, cerebellum, and posterior cingulate cortex. Some of these differences in connectivity were also found between affective disorders and schizophrenia; however, there were no differences between the schizophrenia and control groups. Connectivity between the VTA and the hippocampus was correlated with positive symptoms in the schizophrenia group. The connectivity was not associated with medication dose, and the results remained significant after controlling for dose. CONCLUSIONS The results suggest that altered brain functional connectivity related to VTA networks could be associated with the distinctive pathophysiologies of psychiatric disorders, especially affective disorders.
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Affiliation(s)
- Yuko Nakamura
- Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science at the University of Tokyo, Tokyo, Japan
| | - Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Osamu Abe
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Akira Kunimatsu
- Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Radiology, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuo Okanoya
- Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science at the University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
| | - Kiyoto Kasai
- Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science at the University of Tokyo, Tokyo, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
| | - Shinsuke Koike
- Center for Integrative Science of Human Behavior, Graduate School of Arts and Sciences, The University of Tokyo, Tokyo, Japan
- Center for Evolutionary Cognitive Science at the University of Tokyo, Tokyo, Japan
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, Tokyo, Japan
- University of Tokyo Institute for Diversity & Adaptation of Human Mind (UTIDAHM), Tokyo, Japan
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23
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Xiu MH, Lang X, Chen DC, Cao B, Kosten TR, Cho RY, Shi H, Wei CW, Wu AS, Zhang XY. Cognitive Deficits and Clinical Symptoms with Hippocampal Subfields in First-Episode and Never-Treated Patients with Schizophrenia. Cereb Cortex 2020; 31:89-96. [PMID: 32901269 DOI: 10.1093/cercor/bhaa208] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 05/20/2020] [Accepted: 07/06/2020] [Indexed: 11/13/2022] Open
Abstract
Memory dysfunction and associated hippocampal disturbances play crucial roles in cognitive impairment of schizophrenia. To examine the relationships between cognitive function and the hippocampal subfields (HSs) in first-episode never-treated (FENT) schizophrenia patients, the HSs were segmented in 39 FENT patients and 30 healthy controls using a state-of the-art automated algorithm. We found no significant differences in any HSs between the patients and controls. However, multivariate regression analysis showed that the left cornu ammonis 1 (CA1), left hippocampal tail, left presubiculum, and right molecular layer contributed 40% to the variance of the PANSS negative symptom score. After adjusting for sex, age, education, and intracranial volume, the partial correlation analysis showed that the volumes of left CA1, CA3, CA4, molecular layer, granule cell layer and both left and right subiculum were negatively correlated with the MATRICS consensus cognitive battery (MCCB) Hopkins Verbal Learning Test (HVLT). Multiple regression analysis showed that the left CA1 and CA3 hippocampal abnormalities contributed 66% to the variance of the HVLT. Our results suggest no detectable HS deficits were found in FENT schizophrenia patients. However, the HSs may be involved in the symptoms and cognitive deficits of schizophrenia patients in the early phase of their illness.
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Affiliation(s)
- Mei Hong Xiu
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - XiaoE Lang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, 03000, China
| | - Da Chun Chen
- Beijing HuiLongGuan Hospital, Peking University HuiLongGuan Clinical Medical School, Beijing, 100096, China
| | - Bo Cao
- Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, T6G 2B7, Canada
| | - Thomas R Kosten
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Raymond Y Cho
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Hui Shi
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Chang Wei Wei
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - An Shi Wu
- Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Xiang Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100101, China
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24
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Wang D, Li M, Wang M, Schoeppe F, Ren J, Chen H, Öngür D, Brady RO Jr, Baker JT, Liu H. Individual-specific functional connectivity markers track dimensional and categorical features of psychotic illness. Mol Psychiatry 2020; 25:2119-29. [PMID: 30443042 DOI: 10.1038/s41380-018-0276-1] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2018] [Revised: 08/09/2018] [Accepted: 08/13/2018] [Indexed: 12/23/2022]
Abstract
Neuroimaging studies of psychotic disorders have demonstrated abnormalities in structural and functional connectivity involving widespread brain networks. However, these group-level observations have failed to yield any biomarkers that can provide confirmatory evidence of a patient's current symptoms, predict future symptoms, or predict a treatment response. Lack of precision in both neuroanatomical and clinical boundaries have likely contributed to the inability of even well-powered studies to resolve these key relationships. Here, we employed a novel approach to defining individual-specific functional connectivity in 158 patients diagnosed with schizophrenia (n = 49), schizoaffective disorder (n = 37), or bipolar disorder with psychosis (n = 72), and identified neuroimaging features that track psychotic symptoms in a dimension- or disorder-specific fashion. Using individually specified functional connectivity, we were able to estimate positive, negative, and manic symptoms that showed correlations ranging from r = 0.35 to r = 0.51 with the observed symptom scores. Comparing optimized estimation models among schizophrenia spectrum patients, positive and negative symptoms were associated with largely non-overlapping sets of cortical connections. Comparing between schizophrenia spectrum and bipolar disorder patients, the models for positive symptoms were largely non-overlapping between the two disorder classes. Finally, models derived using conventional region definition strategies performed at chance levels for most symptom domains. Individual-specific functional connectivity analyses revealed important new distinctions among cortical circuits responsible for the positive and negative symptoms, as well as key new information about how circuits underlying symptom expressions may vary depending on the underlying etiology and illness syndrome from which they manifest.
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25
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Sahakyan L, Meller T, Evermann U, Schmitt S, Pfarr JK, Sommer J, Kwapil TR, Nenadić I. Anterior vs Posterior Hippocampal Subfields in an Extended Psychosis Phenotype of Multidimensional Schizotypy in a Nonclinical Sample. Schizophr Bull 2020; 47:207-218. [PMID: 32691055 PMCID: PMC8208318 DOI: 10.1093/schbul/sbaa099] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Numerous studies have implicated involvement of the hippocampus in the etiology and expression of schizophrenia-spectrum psychopathology, and reduced hippocampal volume is one of the most robust brain abnormalities reported in schizophrenia. Recent studies indicate that early stages of schizophrenia are specifically characterized by reductions in anterior hippocampal volume; however, studies have not examined hippocampal volume reductions in subclinical schizotypy. The present study was the first to examine the associations of positive, negative, and disorganized schizotypy dimensions with hippocampal subfield volumes in a large sample (n = 195) of nonclinically ascertained young adults, phenotyped using the Multidimensional Schizotypy Scale (MSS). Hippocampal subfields were analyzed from high-resolution 3 Tesla structural magnetic resonance imaging scans testing anatomical models, including anterior vs posterior regions and the cornu ammonis (CA), dentate gyrus (DG), and subiculum subfields separately for the left and right hemispheres. We demonstrate differential spatial effects across anterior vs posterior hippocampus segments across different dimensions of the schizotypy risk phenotype. The interaction of negative and disorganized schizotypy robustly predicted left hemisphere volumetric reductions for the anterior and total hippocampus, and anterior CA and DG, and the largest reductions were seen in participants high in negative and disorganized schizotypy. These findings extend previous early psychosis studies and together with behavioral studies of hippocampal-related memory impairments provide the basis for a dimensional neurobiological hippocampal model of schizophrenia risk. Subtle hippocampal subfield volume reductions may be prevalent prior to the onset of detectable prodromal clinical symptoms of psychosis and play a role in the etiology and development of such conditions.
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Affiliation(s)
- Lili Sahakyan
- Department of Psychology and Beckman Institute for Advanced Science and
Technology, University of Illinois, Champaign, IL
| | - Tina Meller
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Ulrika Evermann
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Simon Schmitt
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Julia-Katharina Pfarr
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany
| | - Jens Sommer
- Core Facility BrainImaging, School of Medicine, Philipps-University
Marburg, Marburg, Germany
| | - Thomas R Kwapil
- Department of Psychology and Beckman Institute for Advanced Science and
Technology, University of Illinois, Champaign, IL
| | - Igor Nenadić
- Cognitive Neuropsychiatry Lab, Department of Psychiatry and Psychotherapy,
Philipps-University Marburg, Marburg, Germany,Center for Mind, Brain, and Behavior (CMBB), Marburg, Germany,To whom correspondence should be addressed; Department of Psychiatry and
Psychotherapy, Philipps-University Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg,
Germany; tel: +49-6421-58-65002, fax: +49-6421-58-68939, e-mail:
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26
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Luckhoff HK, du Plessis S, Kilian S, Asmal L, Scheffler F, Phahladira L, Olivier RM, Emsley R. Hippocampal subfield volumes and change in body mass over 12 months of treatment in first-episode schizophrenia spectrum disorders. Psychiatry Res Neuroimaging 2020; 300:111084. [PMID: 32388386 DOI: 10.1016/j.pscychresns.2020.111084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 04/01/2020] [Accepted: 04/03/2020] [Indexed: 02/07/2023]
Abstract
In this study, we explored the relationship between baseline hippocampal subfield volumes and change in body mass over 12 months of treatment in 90 first-episode schizophrenia spectrum disorder patients (66 males, 24 females; mean age= 24.7 ± 6.8 years). Body mass index was assessed in patients at baseline, and at months 3, 6, 9 and 12. Hippocampal subfields of interest were assessed at baseline using a segmentation algorithm included in the FreeSurfer 6.0 software program. Linear regression revealed a significant interactive effect between sex and anterior hippocampus size as predictors of change in body mass over 12 months, adjusting for age, substance use, and treatment duration. In an exploratory post-hoc sub-analysis, partial correlations showed a significant association between weight gain and smaller CA1, CA3 and subiculum volumes in females, but not males, adjusting for age and substance use, with similar trends evident for the CA4 and presubiculum subfields. In conclusion, our findings suggest that smaller anterior hippocampal subfields at baseline are associated with the development of weight gain over the course of treatment in first-episode schizophrenia spectrum disorders in a sex-specific fashion. This may be related to the greater increase in body mass evident for female patients in our study.
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Affiliation(s)
- H K Luckhoff
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa.
| | - S du Plessis
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - S Kilian
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - L Asmal
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - F Scheffler
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - L Phahladira
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - R M Olivier
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
| | - R Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, 7500, South Africa
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27
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Lebedeva IS, Golubev SA, Klochkova IV, Kaleda VG. [Neurophysiological characteristics of juvenile schizophrenia patients examined at the very remote follow up stage]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:34-40. [PMID: 32323941 DOI: 10.17116/jnevro202012003134] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE To determine neurophysiological characteristics of patients with long-term follow up (>20 years) and to find correlations between neurophysiological parameters and clinical features of schizophrenia. MATERIAL AND METHODS The patients were divided into three groups: with predomination of personality changes (group 1, n=17), with negative disorders (group 2, n=23) and with positive and negative disorders (group 3, n=40). A psychopathological method and electroencephalography with evoked potentials testing were used. RESULTS AND CONCLUSION In group 3, the statistically significant higher frequencies of theta-rhythm and lower of alpha-rhythm were found. Also, theta frequency correlated with PANSS positive scores. The significant intergroup differences by auditory oddball P300 were lacked. The findings are discussed in view of the hypothesis of theta-rhythm as a marker of hippocampal-prefrontal connectivity.
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Affiliation(s)
| | - S A Golubev
- Mental Health Research Center, Moscow, Russia
| | | | - V G Kaleda
- Mental Health Research Center, Moscow, Russia
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28
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du Plessis S, Scheffler F, Luckhoff H, Asmal L, Kilian S, Phahladira L, Emsley R. Childhood trauma and hippocampal subfield volumes in first-episode schizophrenia and healthy controls. Schizophr Res 2020; 215:308-313. [PMID: 31653582 DOI: 10.1016/j.schres.2019.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 09/29/2019] [Accepted: 10/06/2019] [Indexed: 12/20/2022]
Abstract
Childhood trauma and schizophrenia are both associated with neuroanatomical abnormalities in the hippocampus, a stress-sensitive structure vulnerable to developmental insults. However, few studies have evaluated the effects of childhood trauma exposure on hippocampal morphometry in minimally treated first-episode schizophrenia patients. Here we aim to investigate the associations of childhood trauma with hippocampal subfield volumes in a cohort of antipsychotic-naive or minimally treated first-episode schizophrenia spectrum disorder patients and matched controls. 79 patients with first-episode schizophrenia spectrum disorder and 82 matched controls completed the childhood trauma questionnaire and underwent MRI assessment. Hippocampal subfields were reconstructed using FreeSurfer 6.0. We considered inter-correlations between the various subfields, by entering them as dependent variables into a multivariate analysis of co-variance (MANCOVA), modeling for interactions between diagnosis, childhood trauma total score and gender while controlling for substance use, scanner sequence and age. MANCOVA revealed a significant interaction between sex, childhood trauma total scores and diagnosis across hippocampal sub-regions (p = 0.012). Bonferroni corrected post-hoc analysis revealed a significant sex*diagnosis*childhood trauma score interaction for the hippocampal fissure (F(1,161) = 9.485,p = .002). Hippocampal fissure size showed a positive relationship with CA structures as well as whole hippocampal size in the larger sample. Findings from the present study suggest that childhood trauma exposure exerts illness-specific effects on hippocampal structures in female patients with first-episode schizophrenia, consistent with increased stress sensitivity in this group.
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Affiliation(s)
- Stéfan du Plessis
- Department of Psychiatry, Stellenbosch University, Republic of South Africa.
| | | | - Hilmar Luckhoff
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | - Laila Asmal
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | - Sanja Kilian
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
| | | | - Robin Emsley
- Department of Psychiatry, Stellenbosch University, Republic of South Africa
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29
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Tesli N, van der Meer D, Rokicki J, Storvestre G, Røsæg C, Jensen A, Hjell G, Bell C, Fischer-Vieler T, Tesli M, Andreassen OA, Melle I, Agartz I, Haukvik UK. Hippocampal subfield and amygdala nuclei volumes in schizophrenia patients with a history of violence. Eur Arch Psychiatry Clin Neurosci 2020; 270:771-782. [PMID: 31980898 PMCID: PMC7423802 DOI: 10.1007/s00406-020-01098-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Accepted: 01/13/2020] [Indexed: 12/27/2022]
Abstract
Schizophrenia (SCZ) is associated with an increased risk of violence compared to the general population. Previous studies have indicated smaller hippocampal and amygdala volumes in violent than non-violent psychotic patients. However, little is known about volumetric differences at the subdivision level of these structures. In the present study, hippocampal subfields and amygdala nuclei volumes were estimated with FreeSurfer from 3 T MRI of SCZ patients with (SCZ-V, n = 24) and without (SCZ-NV, n = 51) a history of severe violence and 90 healthy controls (HC). Volumetric differences between groups were explored with a general linear model covarying for confounders, in addition to follow-up analyses in patient groups controlling for clinical characteristics such as antipsychotic medication, duration of illness and illicit substance use. SCZ-V had smaller total hippocampal volume and smaller CA1, HATA, fimbria, and molecular layer of DG volumes compared to HC. Total amygdala volume together with basal nucleus, accessory basal nucleus, CTA, and paralaminar nucleus volumes were smaller in SCZ-V compared to HC. In SCZ-NV, compared to HC, the observed smaller volumes were limited to basal and paralaminar nucleus. There were no significant differences in hippocampal subfield and amygdala nuclei volumes between SCZ-V and SCZ-NV. Follow-up analyses showed that the results in patient groups were not affected by clinical characteristics. The results suggest that smaller hippocampal subfield and amygdala nuclei volumes may be relevant to violence risk in SCZ. However, the neurobiological signature of violence in SCZ should be further investigated in larger cohorts.
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Affiliation(s)
- Natalia Tesli
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Jaroslav Rokicki
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychology, University of Oslo, Oslo, Norway
| | - Guttorm Storvestre
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Cato Røsæg
- Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Arvid Jensen
- Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Gabriela Hjell
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Ostfold Hospital Trust, Graalum, Norway
| | - Christina Bell
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Thomas Fischer-Vieler
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatry, Oslo University Hospital, Oslo, Norway
| | - Martin Tesli
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Department of Mental Disorders, Norwegian Institute of Public Health, Oslo, Norway
| | - Ole A. Andreassen
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Melle
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - Unn K. Haukvik
- Division of Mental Health and Addiction, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Nydalen, P.O. Box 4956, 0424 Oslo, Norway ,Department of Adult Psychiatry, Institute of Clinical Medicine, University of Oslo, Oslo, Norway ,Centre of Research and Education in Forensic Psychiatry, Oslo University Hospital, Oslo, Norway
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Zhao W, Wang X, Yin C, He M, Li S, Han Y. Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer's Disease: A Structural Imaging Study. Front Neuroinform 2019; 13:13. [PMID: 30983985 PMCID: PMC6450438 DOI: 10.3389/fninf.2019.00013] [Citation(s) in RCA: 76] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 02/19/2019] [Indexed: 11/13/2022] Open
Abstract
Background The hippocampus and hippocampal subfields have been found to be diversely affected in Alzheimer's Disease (AD) and early stages of Alzheimer's disease by neuroimaging studies. However, our knowledge is still lacking about the trajectories of the hippocampus and hippocampal subfields atrophy with the progression of Alzheimer's disease. Objective To identify which subfields of the hippocampus differ in the trajectories of Alzheimer's disease by magnetic resonance imaging (MRI) and to determine whether individual differences on memory could be explained by structural volumes of hippocampal subfields. Methods Four groups of participants including 41 AD patients, 43 amnestic mild cognitive impairment (aMCI) patients, 35 subjective cognitive decline (SCD) patients and 42 normal controls (NC) received their structural MRI brain scans. Structural MR images were processed by the FreeSurfer 6.0 image analysis suite to extract the hippocampus and its subfields. Furthermore, we investigated relationships between hippocampal subfield volumes and memory test variables (AVLT-immediate recall, AVLT-delayed recall, AVLT-recognition) and the regression model analyses were controlled for age, gender, education and eTIV. Results CA1, subiculum, presubiculum, molecular layer and fimbria showed the trend toward significant volume reduction among four groups with the progression of Alzheimer's disease. Volume of left subiculum was most strongly and actively correlated with performance across AVLT measures. Conclusion The trend changes in the hippocampus subfields and further illustrates that SCD is the preclinical stage of AD earlier than aMCI. Future studies should aim to associate the atrophy of the hippocampal subfields in SCD with possible conversion to aMCI or AD with longitudinal design.
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Affiliation(s)
- Weina Zhao
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Neurology, Mudanjiang Medical University Affiliated Hongqi Hospital, Mudanjiang, China
| | - Xuetong Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Changhao Yin
- Department of Neurology, Mudanjiang Medical University Affiliated Hongqi Hospital, Mudanjiang, China
| | - Mengfei He
- Department of Neurology, Mudanjiang Medical University Affiliated Hongqi Hospital, Mudanjiang, China
| | - Shuyu Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Institute of Alzheimer Disease, Beijing Institute for Brain Disorders, Beijing, China.,Institute of Geriatrics, Beijing Hospital, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China
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Hu X, Zhang L, Hu X, Lu L, Tang S, Li H, Bu X, Gong Q, Huang X. Abnormal Hippocampal Subfields May Be Potential Predictors of Worse Early Response to Antidepressant Treatment in Drug‐Naïve Patients With Major Depressive Disorder. J Magn Reson Imaging 2018; 49:1760-1768. [PMID: 30295348 DOI: 10.1002/jmri.26520] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 09/07/2018] [Accepted: 09/07/2018] [Indexed: 02/05/2023] Open
Affiliation(s)
- Xiaoxiao Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Lianqing Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Xinyu Hu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Shi Tang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Hailong Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Xuan Bu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
| | - Xiaoqi Huang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, P.R. China
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Nakahara S, Matsumoto M, van Erp TGM. Hippocampal subregion abnormalities in schizophrenia: A systematic review of structural and physiological imaging studies. Neuropsychopharmacol Rep 2018; 38:156-166. [PMID: 30255629 PMCID: PMC7021222 DOI: 10.1002/npr2.12031] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 08/03/2018] [Accepted: 08/23/2018] [Indexed: 01/30/2023] Open
Abstract
Aim The hippocampus is considered a key region in schizophrenia pathophysiology, but the nature of hippocampal subregion abnormalities and how they contribute to disease expression remain to be fully determined. This study reviews findings from schizophrenia hippocampal subregion volumetric and physiological imaging studies published within the last decade. Methods The PubMed database was searched for publications on hippocampal subregion volume and physiology abnormalities in schizophrenia and their findings were reviewed. Results The main replicated findings include smaller CA1 volumes and CA1 hyperactivation in schizophrenia, which may be predictive of conversion in individuals at clinical high risk of psychosis, smaller CA1 and CA4/DG volumes in first‐episode schizophrenia, and more widespread smaller hippocampal subregion volumes with longer duration of illness. Several studies have reported relationships between hippocampal subregion volumes and declarative memory or symptom severity. Conclusions Together these studies provide support for hippocampal formation circuitry models of schizophrenia. These initial findings must be taken with caution as the scientific community is actively working on hippocampal subregion method improvement and validation. Further improvements in our understanding of the nature of hippocampal formation subregion involvement in schizophrenia will require the collection of structural and physiological imaging data at submillimeter voxel resolution, standardization and agreement of atlases, adequate control for possible confounding factors, and multi‐method validation of findings. Despite the need for cautionary interpretation of the initial findings, we believe that improved localization of hippocampal subregion abnormalities in schizophrenia holds promise for the identification of disease contributing mechanisms. The hippocampus is considered a key region in schizophrenia pathophysiology but the nature of hippocampal subregion abnormalities and how they contribute to disease expression remains to be fully determined. This study reviews findings from schizophrenia hippocampal subregion volumetric and physiological imaging studies published within the last decade.
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Affiliation(s)
- Soichiro Nakahara
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California.,Drug Discovery Research, Astellas Pharma Inc., Tsukuba, Japan
| | | | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, California
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Haukvik UK, Tamnes CK, Söderman E, Agartz I. Neuroimaging hippocampal subfields in schizophrenia and bipolar disorder: A systematic review and meta-analysis. J Psychiatr Res 2018; 104:217-26. [PMID: 30107268 DOI: 10.1016/j.jpsychires.2018.08.012] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 07/27/2018] [Accepted: 08/06/2018] [Indexed: 01/15/2023]
Abstract
The hippocampus is a complex structure consisting of subregions with specialized cytoarchitecture and functions. Magnetic resonance imaging (MRI) studies in psychotic disorders show hippocampal subfield abnormalities, but affected regions differ between studies. We here present an overview of hippocampal anatomy and function relevant to psychosis, and the first systematic review and meta-analysis of MRI studies of hippocampal subfield morphology in schizophrenia and bipolar disorder. Twenty-one MRI studies assessing hippocampal subfield volumes or shape in schizophrenia or bipolar disorder were included (n 15-887 subjects). Nine volumetric group comparison studies (total n = 2593) were included in random effects meta-analyses of group differences. The review showed mixed results, with volume reductions reported in most subfields in schizophrenia and bipolar disorder. Volumetric studies using ex-vivo based image analysis templates corresponded best with the shape studies, with CA1 as the most affected region. The meta-analyses showed volume reductions in all subfields in schizophrenia and bipolar disorder compared to healthy controls (all p < .005; schizophrenia: d = 0.28-0.49, bipolar disorder: d = 0.20-0.35), and smaller left CA2/3 and right subiculum in schizophrenia than bipolar disorder. In conclusion, the hippocampal subfields appear to be differently affected in psychotic disorders. However, due to the lack of control for putative confounders such as medication, alcohol and illicit substance use, and illness stage, the results from the meta-analysis should be interpreted with caution. Methodological subfield segmentation weaknesses should be addressed in future studies.
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Lieberman JA, Girgis RR, Brucato G, Moore H, Provenzano F, Kegeles L, Javitt D, Kantrowitz J, Wall MM, Corcoran CM, Schobel SA, Small SA. Hippocampal dysfunction in the pathophysiology of schizophrenia: a selective review and hypothesis for early detection and intervention. Mol Psychiatry 2018; 23:1764-1772. [PMID: 29311665 PMCID: PMC6037569 DOI: 10.1038/mp.2017.249] [Citation(s) in RCA: 217] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 09/18/2017] [Accepted: 09/27/2017] [Indexed: 02/07/2023]
Abstract
Scientists have long sought to characterize the pathophysiologic basis of schizophrenia and develop biomarkers that could identify the illness. Extensive postmortem and in vivo neuroimaging research has described the early involvement of the hippocampus in the pathophysiology of schizophrenia. In this context, we have developed a hypothesis that describes the evolution of schizophrenia-from the premorbid through the prodromal stages to syndromal psychosis-and posits dysregulation of glutamate neurotransmission beginning in the CA1 region of the hippocampus as inducing attenuated psychotic symptoms and initiating the transition to syndromal psychosis. As the illness progresses, this pathological process expands to other regions of the hippocampal circuit and projection fields in other anatomic areas including the frontal cortex, and induces an atrophic process in which hippocampal neuropil is reduced and interneurons are lost. This paper will describe the studies of our group and other investigators supporting this pathophysiological hypothesis, as well as its implications for early detection and therapeutic intervention.
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Affiliation(s)
- JA Lieberman
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - RR Girgis
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - G Brucato
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - H Moore
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - F Provenzano
- Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - L Kegeles
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - D Javitt
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - J Kantrowitz
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA
| | - MM Wall
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,New York State Psychiatric Institute, New York, NY, USA,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - CM Corcoran
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - SA Schobel
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - SA Small
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, NY, USA,Department of Neurology, College of Physicians and Surgeons, Columbia University, New York, NY, USA,Department of Radiology, College of Physicians & Surgeons, Columbia University, New York, NY, USA
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Pešlová E, Mareček R, Shaw DJ, Kašpárek T, Pail M, Brázdil M. Hippocampal involvement in nonpathological déjà vu: Subfield vulnerability rather than temporal lobe epilepsy equivalent. Brain Behav 2018; 8:e00996. [PMID: 29873197 PMCID: PMC6043696 DOI: 10.1002/brb3.996] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 04/15/2018] [Indexed: 01/26/2023] Open
Abstract
INTRODUCTION Morphological correlates of nonpathological déjà vu (DV) have been identified recently within the human brain. Significantly reduced gray matter volume (GMV) within a set of cortical and subcortical regions reported in subjects experiencing DV seems to mirror the distribution of GMV reduction in mesial temporal lobe epilepsy (MTLE) patients but vary in terms of the hippocampus. Another condition associated with hippocampal GMV reduction and DV alike disturbance in memory processing is schizophrenia (SCH). Here, we tested the hypothesis that hippocampal involvement in nonpathological DV resembles more closely the pattern of GMV decrease observed in MTLE compared with that occurring in SCH. METHODS Using automated segmentation of the MRI data we compared the medians of GMV within 12 specific hippocampal subfields in healthy individuals that do (DV+; N = 87) and do not report déjà vu experience (DV-; N = 26), and patients with MTLE (N = 47) and SCH (N = 29). By Pearson correlation, we then evaluated the similarity of MTLE and SCH groups to DV+ group with respect to spatial distribution of GMV deviation from DV- group. RESULTS Significant GMV decrease was found in MTLE group in most of the subfields. There were just trends in the hippocampal GMV decrease found in DV+ or SCH groups. Concerning the spatial distribution of GMV decrease, we revealed statistically significant correlation for the left hippocampus for SCH vs DV+. Otherwise there was no statistically significant correlation. CONCLUSIONS Our findings reveal structural features of hippocampal involvement in nonpathological DV, MTLE, and SCH. Despite our expectations, the pattern of GMV reduction in the DV+ relative to the DV- group does not resemble the pattern observed in MTLE any more than that observed in SCH. The highly similar patterns of the three clinical groups rather suggest an increased vulnerability of certain hippocampal subfields; namely, Cornu Ammonis (CA)4, CA3, dentate gyrus granular cell layer (GC-DG), hippocampal-amygdaloid transition area (HATA) and subiculum.
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Affiliation(s)
- Eva Pešlová
- Department of NeurologyBrno Epilepsy CenterSt. Anne’s University Hospital and Medical Faculty of Masaryk UniversityBrnoCzech Republic
| | - Radek Mareček
- Department of NeurologyBrno Epilepsy CenterSt. Anne’s University Hospital and Medical Faculty of Masaryk UniversityBrnoCzech Republic
- Multi‐modal and Functional Neuroimaging Research GroupCEITEC ‐ Central European Institute of TechnologyMasaryk UniversityBrnoCzech Republic
| | - Daniel J. Shaw
- Behavioral and Social Neuroscience Research GroupCEITEC ‐ Central European Institute of TechnologyMasaryk UniversityBrnoCzech Republic
| | - Tomáš Kašpárek
- Behavioral and Social Neuroscience Research GroupCEITEC ‐ Central European Institute of TechnologyMasaryk UniversityBrnoCzech Republic
- Department of PsychiatryFaculty Hospital Brno and Medical Faculty of Masaryk UniversityBrnoCzech Republic
| | - Martin Pail
- Department of NeurologyBrno Epilepsy CenterSt. Anne’s University Hospital and Medical Faculty of Masaryk UniversityBrnoCzech Republic
| | - Milan Brázdil
- Department of NeurologyBrno Epilepsy CenterSt. Anne’s University Hospital and Medical Faculty of Masaryk UniversityBrnoCzech Republic
- Behavioral and Social Neuroscience Research GroupCEITEC ‐ Central European Institute of TechnologyMasaryk UniversityBrnoCzech Republic
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Schverer M, Lanfumey L, Baulieu EE, Froger N, Villey I. Neurosteroids: non-genomic pathways in neuroplasticity and involvement in neurological diseases. Pharmacol Ther 2018; 191:190-206. [PMID: 29953900 DOI: 10.1016/j.pharmthera.2018.06.011] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Neurosteroids are neuroactive brain-born steroids. They can act through non-genomic and/or through genomic pathways. Genomic pathways are largely described for steroid hormones: the binding to nuclear receptors leads to transcription regulation. Pregnenolone, Dehydroepiandrosterone, their respective sulfate esters and Allopregnanolone have no corresponding nuclear receptor identified so far whereas some of their non-genomic targets have been identified. Neuroplasticity is the capacity that neuronal networks have to change their structure and function in response to biological and/or environmental signals; it is regulated by several mechanisms, including those that involve neurosteroids. In this review, after a description of their biosynthesis, the effects of Pregnenolone, Dehydroepiandrosterone, their respective sulfate esters and Allopregnanolone on their targets will be exposed. We then shall highlight that neurosteroids, by acting on these targets, can regulate neurogenesis, structural and functional plasticity. Finally, we will discuss the therapeutic potential of neurosteroids in the pathophysiology of neurological diseases in which alterations of neuroplasticity are associated with changes in neurosteroid levels.
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Affiliation(s)
- Marina Schverer
- Inserm U894, Centre de Psychiatrie et Neurosciences, Université Paris Descartes, 75014 Paris, France
| | - Laurence Lanfumey
- Inserm U894, Centre de Psychiatrie et Neurosciences, Université Paris Descartes, 75014 Paris, France.
| | - Etienne-Emile Baulieu
- MAPREG SAS, Le Kremlin-Bicêtre, France; Inserm UMR 1195, Université Paris-Saclay, Le Kremlin Bicêtre, France
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Wang X, Yu Y, Zhao W, Li Q, Li X, Li S, Yin C, Han Y. Altered Whole-Brain Structural Covariance of the Hippocampal Subfields in Subcortical Vascular Mild Cognitive Impairment and Amnestic Mild Cognitive Impairment Patients. Front Neurol 2018; 9:342. [PMID: 29872419 PMCID: PMC5972219 DOI: 10.3389/fneur.2018.00342] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 04/30/2018] [Indexed: 11/17/2022] Open
Abstract
The hippocampus plays important roles in memory processing. However, the hippocampus is not a homogeneous structure, which consists of several subfields. The hippocampal subfields are differently affected by many neurodegenerative diseases, especially mild cognitive impairment (MCI). Amnestic mild cognitive impairment (aMCI) and subcortical vascular mild cognitive impairment (svMCI) are the two subtypes of MCI. aMCI is characterized by episodic memory loss, and svMCI is characterized by extensive white matter hyperintensities and multiple lacunar infarctions on magnetic resonance imaging. The primary cognitive impairment in svMCI is executive function, attention, and semantic memory. Some variations or disconnections within specific large-scale brain networks have been observed in aMCI and svMCI patients. The aim of this study was to investigate abnormalities in structural covariance networks (SCNs) between hippocampal subfields and the whole cerebral cortex in aMCI and svMCI patients, and whether these abnormalities are different between the two groups. Automated segmentation of hippocampal subfields was performed with FreeSurfer 5.3, and we selected five hippocampal subfields as the seeds of SCN analysis: CA1, CA2/3, CA4/dentate gyrus (DG), subiculum, and presubiculum. SCNs were constructed based on these hippocampal subfield seeds for each group. Significant correlations between hippocampal subfields, fusiform gyrus (FFG), and entorhinal cortex (ERC) in gray matter volume were found in each group. We also compared the differences in the strength of structural covariance between any two groups. In the aMCI group, compared to the normal controls (NC) group, we observed an increased association between the left CA1/CA4/DG/subiculum and the left temporal pole. Additionally, the hippocampal subfields (bilateral CA1, left CA2/3) significantly covaried with the orbitofrontal cortex in the svMCI group compared to the NC group. In the aMCI group compared to the svMCI group, we observed decreased association between hippocampal subfields and the right FFG, while we also observed an increased association between the bilateral subiculum/presubiculum and bilateral ERC. These findings provide new evidence that there is altered whole-brain structural covariance of the hippocampal subfields in svMCI and aMCI patients and provide insights to the pathological mechanisms of different MCI subtypes.
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Affiliation(s)
- Xuetong Wang
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Yang Yu
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Department of Neurology, XuanWu Hospital, Capital Medical University, Beijing, China
| | - Weina Zhao
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Department of Neurology, XuanWu Hospital, Capital Medical University, Beijing, China.,Department of Neurology, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, China
| | - Qiongling Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Xinwei Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Shuyu Li
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China.,Beijing Advanced Innovation Centre for Biomedical Engineering, Beihang University, Beijing, China
| | - Changhao Yin
- Department of Neurology, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, China
| | - Ying Han
- Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Department of Neurology, XuanWu Hospital, Capital Medical University, Beijing, China
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Baglivo V, Cao B, Mwangi B, Bellani M, Perlini C, Lasalvia A, Dusi N, Bonetto C, Cristofalo D, Alessandrini F, Zoccatelli G, Ciceri E, Dario L, Enrico C, Francesca P, Mazzi F, Paolo S, Balestrieri M, Soares JC, Ruggeri M, Brambilla P. Hippocampal Subfield Volumes in Patients With First-Episode Psychosis. Schizophr Bull 2018; 44:552-559. [PMID: 29897598 PMCID: PMC5890476 DOI: 10.1093/schbul/sbx108] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Background Hippocampal abnormalities have been largely reported in patients with schizophrenia and bipolar disorder, and are considered to be involved in the pathophysiology of the psychosis. The hippocampus consists of several subfields but it remains unclear their involvement in the early stages of psychosis. Aim The aim of this study was to investigate volumetric alterations in hippocampal subfields in patients at the first-episode psychosis (FEP). Methods Magnetic resonance imaging (MRI) data were collected in 134 subjects (58 FEP patients; 76 healthy controls [HC]). A novel automated hippocampal segmentation algorithm was used to segment the hippocampal subfields, based on an atlas constructed from ultra-high resolution imaging on ex vivo hippocampal tissue. The general linear model was used to investigate volume differences between FEP patients and HC, with age, gender and total intracranial volume as covariates. Results We found significantly lower volumes of bilateral CA1, CA4, and granule cell layer (GCL), and of left CA3, and left molecular layer (ML) in FEP patients compared to HC. Only the volumes of the left hippocampus and its subfields were significantly lower in FEP than HC at the False Discovery Rate (FDR) of 0.1. No correlation was found between hippocampal subfield volume and duration of illness, age of onset, duration of medication, and Positive and Negative Syndrome Scale (PANSS). Conclusion We report abnormally low volumes of left hippocampal subfields in patients with FEP, sustaining its role as a putative neural marker of psychosis onset.
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Affiliation(s)
- Valentina Baglivo
- Unit of Psychiatry, Department of Medicine, University of Udine, Udine, Italy
| | - Bo Cao
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Benson Mwangi
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Marcella Bellani
- UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Verona, Italy
- InterUniversity Centre for Behavioural Neurosciences (ICBN), University of Verona, Verona, Italy
| | - Cinzia Perlini
- InterUniversity Centre for Behavioural Neurosciences (ICBN), University of Verona, Verona, Italy
- Department of Public Health and Community Medicine, Section of Clinical Psychology, University of Verona, Verona, Italy
| | - Antonio Lasalvia
- UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Verona, Italy
| | - Nicola Dusi
- UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Verona, Italy
- InterUniversity Centre for Behavioural Neurosciences (ICBN), University of Verona, Verona, Italy
| | - Chiara Bonetto
- Section of Psychiatry, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Doriana Cristofalo
- Section of Psychiatry, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | | | - Giada Zoccatelli
- Neuroradiology Department, Azienda Ospedaliera Universitaria, Verona, Italy
| | - Elisa Ciceri
- Neuroradiology Department, Azienda Ospedaliera Universitaria, Verona, Italy
| | - Lamonaca Dario
- Department of Psychiatry, CSM AULSS 21 Legnago, Verona, Italy
| | - Ceccato Enrico
- Department of Mental Health, Hospital of Montecchio Maggiore, Vicenza, Italy
| | | | | | | | - Matteo Balestrieri
- Unit of Psychiatry, Department of Medicine, University of Udine, Udine, Italy
| | - Jair C Soares
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
| | - Mirella Ruggeri
- UOC Psychiatry, Azienda Ospedaliera Universitaria Integrata Verona (AOUI), Verona, Italy
- Section of Psychiatry, Department of Neurological, Biomedical and Movement Sciences, University of Verona, Verona, Italy
| | - Paolo Brambilla
- UT Center of Excellence on Mood Disorders, Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - GET UP Group
- Unit of Psychiatry, Department of Medicine, University of Udine, Udine, Italy
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Kraguljac NV, Carle M, Frölich MA, Tran S, Yassa MA, White DM, Reddy A, Lahti AC. RETRACTED: Mnemonic Discrimination Deficits in First-Episode Psychosis and a Ketamine Model Suggests Dentate Gyrus Pathology Linked to N-Methyl-D-Aspartate Receptor Hypofunction. Biol Psychiatry Cogn Neurosci Neuroimaging 2018; 3:231-238. [PMID: 29486864 PMCID: PMC5836317 DOI: 10.1016/j.bpsc.2017.02.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 02/19/2017] [Indexed: 01/21/2023]
Abstract
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/our-business/policies/article-withdrawal). Retraction notice to: “Mnemonic Discrimination Deficits in First-Episode Psychosis and a Ketamine Model Suggests Dentate Gyrus Pathology Linked to N-Methyl-D-Aspartate Receptor Hypofunction” by Nina Vanessa Kraguljac, Matthew Carle, Michael A. Frölich, Steve Tran, Michael A. Yassa, David Matthew White, Abhishek Reddy, and Adrienne Carol Lahti (Biol Psychiatry Cogn Neurosci Neuroimaging 2018; 3:231-238); https://doi.org/10.1016/j.bpsc.2017.02.005. This article has been retracted at the request of Cameron S. Carter, M.D., Editor of Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, with agreement from all authors. The authors discovered an error in the calculation of the response bias–corrected pattern recognition score in this article, which has significantly changed the results for experiment 1. Specifically, the authors discovered that the response bias corrected pattern recognition score was erroneously computed as P(‘old’|target) minus P(‘old’|lure) rather than P(‘old’|target) minus P(‘old’|foil). After re-running statistical analyses with the correct values, the authors found a significant difference in the response bias–corrected pattern recognition score in healthy volunteers (HV) compared with first-episode psychosis (FEP) patients (HV: 84.13 ± 10.96; FEP: 63.70 ± 21.83; t = 4.01; p < .01) in experiment 1. This finding is not consistent with the original report, where the authors reported no group differences in bias-corrected pattern recognition scores (originally reported values: t = 0.93, p = .36). The authors again found no significant correlations between pattern completion scores and BPRS total, positive, or negative symptom scores or RBANS scores, consistent with the original report. In experiment 2, bias-corrected pattern recognition scores did not differ between the saline and ketamine conditions (saline: 78.29 ± 28.04; ketamine: 73.59 ± 18.94; t = 0.81; p = 0.43), which is consistent with the original report (originally reported values: t = −0.69, p = .50). Contrary to the original report, task performance during the saline and ketamine infusions was no longer correlated at trend level for pattern recognition. Repeat analyses showed no correlations between pattern recognition scores during the ketamine challenge and BPRS total, positive, and negative symptom scores, or ketamine plasma levels at either time point, consistent with the original report. The authors have verified that bias-corrected pattern separation scores were calculated correctly for both experiments in the initial report. This error affects the abstract, the results, Figure 1, and discussion of the manuscript. The authors voluntarily informed the Journal of this honest error upon its discovery. Because of the extent and nature of the changes to the paper, the editors and authors concluded that, to ensure maximum clarity and transparency, the only course of action was to retract this version of the paper. The authors are revising the paper, which the Journal will re-review and consider further for publication.
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Affiliation(s)
- Nina Vanessa Kraguljac
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Matthew Carle
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Michael A Frölich
- Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Steve Tran
- Department of Anesthesiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Michael A Yassa
- Department of Neurobiology and Behavior, Center for the Neurobiology of Learning and Memory, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, California
| | - David Matthew White
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Abhishek Reddy
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Adrienne Carol Lahti
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, Alabama.
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Xue F, Chen YC, Zhou CH, Wang Y, Cai M, Yan WJ, Wu R, Wang HN, Peng ZW. Risperidone ameliorates cognitive deficits, promotes hippocampal proliferation, and enhances Notch signaling in a murine model of schizophrenia. Pharmacol Biochem Behav 2017; 163:101-109. [PMID: 29037878 DOI: 10.1016/j.pbb.2017.09.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 09/26/2017] [Accepted: 09/28/2017] [Indexed: 12/11/2022]
Abstract
Antipsychotic agents have been reported to promote hippocampal neurogenesis and improve cognitive deficits; yet, the molecular mechanisms underlying these actions remain unclear. In the present study, we used a murine model of schizophrenia induced by 5-day intraperitoneal injection with the non-competitive N-methyl-d-aspartate receptor antagonist MK801 (0.3mg/kg/day) to assess cognitive behavioral deficits, changes in Notch signaling, and cellular proliferation in the hippocampus of adult male C57BL/6 mice after 2-week administration of risperidone (Rip, 0.2mg/kg/day) or vehicle. We then utilized in vivo stereotaxic injections of a lentivirus expressing a short hairpin RNA (shRNA) for Notch1 into the dentate gyrus to examine the role of Notch1 in the observed actions of Rip. We found that Rip ameliorated cognitive deficits and restored cell proliferation in MK801-treated mice in a manner associated with the up-regulation of Notch signaling molecules, including Notch1, Hes1, and Hes5. Moreover, these effects were abolished by pretreatment with Notch1 shRNA. Our results suggest that the ability of Rip to improve cognitive function in schizophrenia is mediated in part by Notch signaling.
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Affiliation(s)
- Fen Xue
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Yun-Chun Chen
- Department of Psychiatry, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710049, China
| | - Cui-Hong Zhou
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Ying Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Min Cai
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Wen-Jun Yan
- Department of Anesthesiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Rui Wu
- Xi'an Center for Disease Control and Prevention, Xi'an 710032, China
| | - Hua-Ning Wang
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
| | - Zheng-Wu Peng
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
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Artiges E, Leroy C, Dubol M, Prat M, Pepin A, Mabondo A, de Beaurepaire R, Beaufils B, Korwin JP, Galinowski A, D’Albis MA, Santiago-Ribeiro MJ, Granger B, Tzavara ET, Martinot JL, Trichard C. Striatal and Extrastriatal Dopamine Transporter Availability in Schizophrenia and Its Clinical Correlates: A Voxel-Based and High-Resolution PET Study. Schizophr Bull 2017; 43:1134-1142. [PMID: 28177089 PMCID: PMC5581903 DOI: 10.1093/schbul/sbw192] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Neuroimaging studies investigating dopamine (DA) function widely support the hypothesis of presynaptic striatal DA hyperactivity in schizophrenia. However, published data on the striatal DA transporter (DAT) appear less consistent with this hypothesis, probably partly due to methodological limitations. Moreover, DAT in extrastriatal regions has been very poorly investigated in the context of schizophrenia. In order to address these issues, we used a high resolution positron emission tomograph and the selective DAT radioligand [11C]PE2I, coupled with a whole brain voxel-based analysis method to investigate DAT availability in striatal but also extra-striatal regions in 21 male chronic schizophrenia patients compared to 30 healthy male controls matched by age. We found higher DAT availability in schizophrenia patients in midbrain, striatal, and limbic regions. DAT availability in amygdala/hippocampus and putamen/pallidum was positively correlated with hallucinations and suspiciousness/persecution, respectively. These results are consistent with an increase of presynaptic DA function in patients with schizophrenia, and support the involvement of both striatal and extrastriatal DA dysfunction in positive psychotic symptoms. The study also highlights the whole brain voxel-based analysis method to explore DA dysfunction in schizophrenia.
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Affiliation(s)
- Eric Artiges
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,GH Nord Essonne, Psychiatry Department 91G16, Orsay Hospital, Orsay, France;,To whom correspondence should be addressed; Service Hospitalier Frédéric Joliot, 4 place du Général Leclerc, 91401 Orsay cedex, France; tel: (33)-1-69-86-78-23, fax: (33)-1-69-86-78-10, e-mail:
| | - Claire Leroy
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,Laboratoire Imagerie Moléculaire In Vivo (IMIV), CEA, INSERM, CNRS, Paris Sud University-Paris Saclay University, CEA-SHFJ, Orsay, France
| | - Manon Dubol
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France
| | - Marie Prat
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France
| | - Audrey Pepin
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France
| | - Audrey Mabondo
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France
| | | | - Béatrice Beaufils
- Psychiatry Department, AP-HP, Corentin Celton Hospital, Issy-les-Moulineaux, France
| | | | - André Galinowski
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France
| | | | | | - Bernard Granger
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,APHP Tarnier Hospital, Psychiatry Department, Cochin Hospital, Paris, France
| | - Eleni T Tzavara
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,APHP Tarnier Hospital, Psychiatry Department, Cochin Hospital, Paris, France;,INSERM U1130 Research Unit, CNRS UMR 8246, UPMC UM CR18, Paris, France.
| | - Jean-Luc Martinot
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,These authors contributed equally to the article
| | - Christian Trichard
- INSERM, Research Unit 1000 “Neuroimaging and Psychiatry”, Paris Sud University-Paris Saclay University and Paris Descartes University, Orsay, France;,Psychiatry Department, Barthélémy Durand Hospital, Etampes, France;,These authors contributed equally to the article
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Györfi O, Nagy H, Bokor M, Moustafa AA, Rosenzweig I, Kelemen O, Kéri S. Reduced CA2-CA3 Hippocampal Subfield Volume Is Related to Depression and Normalized by l-DOPA in Newly Diagnosed Parkinson's Disease. Front Neurol 2017; 8:84. [PMID: 28367136 PMCID: PMC5355434 DOI: 10.3389/fneur.2017.00084] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Accepted: 02/24/2017] [Indexed: 11/24/2022] Open
Abstract
Hippocampal dysfunctions may play an important role in the non-motor aspects of Parkinson’s disease (PD), including depressive and cognitive symptoms. Fine structural alterations of the hippocampus and their relationship with symptoms and medication effects are unknown in newly diagnosed PD. We measured the volume of hippocampal subfields in 35 drug-naïve, newly diagnosed PD patients without cognitive impairment and 30 matched healthy control individuals. Assessments were performed when the patients did not receive medications and after a 24-week period of l-DOPA treatment. We obtained a T1-weighted 3D magnetization-prepared rapid acquisition gradient echo image at each assessment. FreeSurfer v6.0 was used for image analysis. Results revealed a selectively decreased CA2–CA3 volume in non-medicated PD patients, which was normalized after the 24-week treatment period. Higher depressive symptoms were associated with smaller CA2–CA3 volumes. These results indicate that the CA2–CA3 subfield is structurally affected in the earliest stage of PD in the absence of cognitive impairment. This structural anomaly, normalized by l-DOPA, is related to depressive non-motor symptoms.
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Affiliation(s)
- Orsolya Györfi
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions , Budapest , Hungary
| | - Helga Nagy
- National Institute for Medical Rehabilitation, Budapest, Hungary; Department of Neurology, Semmelweis University, Budapest, Hungary
| | - Magdolna Bokor
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions , Budapest , Hungary
| | - Ahmed A Moustafa
- School of Social Sciences and Psychology, Western Sydney University, Sydney, NSW, Australia; Marcs Institute for Brain and Behavior, Western Sydney University, Sydney, NSW, Australia
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IOPPN, King's College and Imperial College London, London, UK; Sleep Disorders Centre, Guy's Hospital, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Oguz Kelemen
- Faculty of Medicine, Department of Behavioral Sciences, University of Szeged , Szeged , Hungary
| | - Szabolcs Kéri
- Department of Neurology, Nyírö Gyula Hospital, National Institute of Psychiatry and Addictions, Budapest, Hungary; Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary; Faculty of Medicine, Department of Physiology, University of Szeged, Szeged, Hungary
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Pruessner M, Cullen AE, Aas M, Walker EF. The neural diathesis-stress model of schizophrenia revisited: An update on recent findings considering illness stage and neurobiological and methodological complexities. Neurosci Biobehav Rev 2017; 73:191-218. [DOI: 10.1016/j.neubiorev.2016.12.013] [Citation(s) in RCA: 131] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Revised: 12/09/2016] [Accepted: 12/12/2016] [Indexed: 01/29/2023]
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van der Lee SJ, Roshchupkin GV, Adams HHH, Schmidt H, Hofer E, Saba Y, Schmidt R, Hofman A, Amin N, van Duijn CM, Vernooij MW, Ikram MA, Niessen WJ. Gray matter heritability in family-based and population-based studies using voxel-based morphometry. Hum Brain Mapp 2017; 38:2408-2423. [PMID: 28145022 DOI: 10.1002/hbm.23528] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 10/27/2016] [Accepted: 01/12/2017] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high-resolution structural imaging. Voxel-wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large-scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm). METHODS Validated voxel-based morphometry (VBM) protocols were applied to process magnetic resonance imaging data of 3,239 unrelated subjects from a population-based study and 491 subjects from two family-based studies. Genome-wide genetic data was used to estimate voxel-wise gray matter heritability of the unrelated subjects and pedigree-structure was used to estimate heritability in families. They subsequently associated two genetic variants, known to be linked with subcortical brain volume, with most heritable voxels to determine if this would enhance their association signals. RESULTS Voxels significantly heritable in both estimates mapped to subcortical structures, but also voxels in the language areas of the left hemisphere were found significantly heritable. When comparing regional patterns of heritability, family-based estimates were higher than population-based estimates. However, regional consistency of the heritability measures across study designs was high (Pearson's correlation coefficient = 0.73, P = 2.6 × 10-13 ). They further show enhancement of the association signal of two previously discovered genetic loci with subcortical volume by using only the most heritable voxels. CONCLUSION Gray matter voxel-wise heritability can be reliably estimated with different methods. Combining heritability estimates from multiple studies is feasible to construct reliable heritability maps of gray matter voxels. Hum Brain Mapp 38:2408-2423, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Gennady V Roshchupkin
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Hieab H H Adams
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Helena Schmidt
- Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, Austria.,Department of Neurology, Medical University Graz, Graz, Austria
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria.,Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Graz, Austria
| | - Yasaman Saba
- Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University Graz, Graz, Austria
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Meike W Vernooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Wiro J Niessen
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Medical Informatics, Erasmus Medical Center, Rotterdam, The Netherlands.,Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands
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Ota M, Sato N, Hidese S, Teraishi T, Maikusa N, Matsuda H, Hattori K, Kunugi H. Structural differences in hippocampal subfields among schizophrenia patients, major depressive disorder patients, and healthy subjects. Psychiatry Res Neuroimaging 2017; 259:54-59. [PMID: 27987389 DOI: 10.1016/j.pscychresns.2016.11.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 10/31/2016] [Accepted: 11/06/2016] [Indexed: 02/05/2023]
Abstract
Many MRI studies have reported a volume reduction of the hippocampus in psychiatric diseases. However, disease-related volume differences in hippocampus subfields remain unclear. Here we compared the volumes of hippocampus subfields in patients with schizophrenia, patients with major depressive disorder (MDD), and healthy subjects as controls. T2-weighted images were acquired in 20 patients with schizophrenia, 36 with MDD, and 35 healthy volunteers by 3-Tesla MRI. Hippocampal subfields were segmented using an automatic algorithm, Automatic Segmentation of Hippocampal Subfields (ASHS). Schizophrenia patients exhibited significant volume reductions in the cornu ammonis (CA)1 compared to the controls, and in the dentate gyrus compared to the controls and MDD patients without medication, whereas there was no significant difference between the MDD patients and controls. There was a nominal negative correlation between the perirhinal cortex volume and depression severity in the MDD patients without medication, whereas there were negative correlations between CA2 volume and both negative symptoms and the duration of illness in the schizophrenia patients. We identified differing volume reductions in hippocampal subfields and varying correlations between disease severity and subfield volumes depending on diagnosis, suggesting that volume differences in hippocampus subfields may provide important information regarding the pathophysiology of schizophrenia and MDD.
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Affiliation(s)
- Miho Ota
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan.
| | - Noriko Sato
- Department of Radiology, National Center of Neurology and Psychiatry, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Shinsuke Hidese
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Toshiya Teraishi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Norihide Maikusa
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Kotaro Hattori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
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Ho NF, Iglesias JE, Sum MY, Kuswanto CN, Sitoh YY, De Souza J, Hong Z, Fischl B, Roffman JL, Zhou J, Sim K, Holt DJ. Progression from selective to general involvement of hippocampal subfields in schizophrenia. Mol Psychiatry 2017; 22:142-152. [PMID: 26903271 PMCID: PMC4995163 DOI: 10.1038/mp.2016.4] [Citation(s) in RCA: 114] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 10/19/2015] [Accepted: 12/07/2015] [Indexed: 11/08/2022]
Abstract
Volume deficits of the hippocampus in schizophrenia have been consistently reported. However, the hippocampus is anatomically heterogeneous; it remains unclear whether certain portions of the hippocampus are affected more than others in schizophrenia. In this study, we aimed to determine whether volume deficits in schizophrenia are confined to specific subfields of the hippocampus and to measure the subfield volume trajectories over the course of the illness. Magnetic resonance imaging scans were obtained from Data set 1: 155 patients with schizophrenia (mean duration of illness of 7 years) and 79 healthy controls, and Data set 2: an independent cohort of 46 schizophrenia patients (mean duration of illness of 18 years) and 46 healthy controls. In addition, follow-up scans were collected for a subset of Data set 1. A novel, automated method based on an atlas constructed from ultra-high resolution, post-mortem hippocampal tissue was used to label seven hippocampal subfields. Significant cross-sectional volume deficits in the CA1, but not of the other subfields, were found in the schizophrenia patients of Data set 1. However, diffuse cross-sectional volume deficits across all subfields were found in the more chronic and ill schizophrenia patients of Data set 2. Consistent with this pattern, the longitudinal analysis of Data set 1 revealed progressive illness-related volume loss (~2-6% per year) that extended beyond CA1 to all of the other subfields. This decline in volume correlated with symptomatic worsening. Overall, these findings provide converging evidence for early atrophy of CA1 in schizophrenia, with extension to other hippocampal subfields and accompanying clinical sequelae over time.
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Affiliation(s)
- N F Ho
- Research Division, Institute of Mental Health, Singapore
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - J E Iglesias
- Basque Center on Cognition, Brain and Language, Spain
- AA Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
| | - M Y Sum
- Research Division, Institute of Mental Health, Singapore
| | - C N Kuswanto
- Research Division, Institute of Mental Health, Singapore
| | - Y Y Sitoh
- Department of Neuroradiology, National Neuroscience Institute, Singapore
| | - J De Souza
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - Z Hong
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - B Fischl
- AA Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - J L Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - J Zhou
- Center for Cognitive Neuroscience, Neuroscience and Behavioral Disorders Program, Duke-National University of Singapore Graduate Medical School, Singapore
| | - K Sim
- Research Division, Institute of Mental Health, Singapore
- Department of General Psychiatry, General Psychiatry, Institute of Mental Health, Singapore
| | - D J Holt
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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Orfei MD, Piras F, Banaj N, Di Lorenzo G, Siracusano A, Caltagirone C, Bandinelli PL, Ducci G, Spalletta G. Unrealistic self-overconfidence in schizophrenia is associated with left presubiculum atrophy and impaired episodic memory. Cortex 2016; 86:132-139. [PMID: 27951456 DOI: 10.1016/j.cortex.2016.10.017] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 10/14/2016] [Accepted: 10/25/2016] [Indexed: 10/20/2022]
Abstract
The study aimed at investigating the role of the hippocampal subfields in cognitive insight and the clinical and neuropsychological underpinnings of the related two sub-dimensions, Self-Reflectiveness (SR), i.e., openness to external feedback, and Self-Certainty (SC), i.e., unrealistic overconfidence in one's opinions. In order to do this, 45 patients with a diagnosis of schizophrenia and 45 age- and gender-matched healthy control subjects (HC) were administered the Beck Cognitive Insight Scale (BCIS), along with neuropsychological, clinical and psychopathological assessment, and underwent an MRI investigation. Hippocampal segmentation was carried out. Regression analyses were performed for BCIS indexes, volumetric parameters of hippocampal subfields and clinical and neuropsychological variables. Results highlighted that in the schizophrenia group, higher levels of SC were related to reduced volume of the left presubiculum, and worse episodic memory. No significant relationship emerged for the SR index. There was no significant relationship between any of the BCIS indexes and volumetric data of the hippocampal subfields in the HC group. Our data support the hypothesis that unrealistic self-overconfidence in schizophrenia is related to the hippocampal presubiculum atrophy, which is involved in episodic memory and cognitive control and is supposed to be underpinned by difficulty in integrating new memories and thus in generating new hypotheses about the self.
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Affiliation(s)
| | - Fabrizio Piras
- Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Museo storico della fisica e Centro studi e ricerche Enrico Fermi, Rome, Italy.
| | - Nerisa Banaj
- Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy.
| | - Giorgio Di Lorenzo
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Psychiatry and Clinical Psychology Unit, Department of Neurosciences, Fondazione Policlinico "Tor Vergata", Rome, Italy.
| | - Alberto Siracusano
- Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy; Psychiatry and Clinical Psychology Unit, Department of Neurosciences, Fondazione Policlinico "Tor Vergata", Rome, Italy.
| | - Carlo Caltagirone
- Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
| | | | | | - Gianfranco Spalletta
- Neuropsychiatry Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA.
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Harrisberger F, Buechler R, Smieskova R, Lenz C, Walter A, Egloff L, Bendfeldt K, Simon AE, Wotruba D, Theodoridou A, Rössler W, Riecher-Rössler A, Lang UE, Heekeren K, Borgwardt S. Alterations in the hippocampus and thalamus in individuals at high risk for psychosis. NPJ Schizophr 2016; 2:16033. [PMID: 27738647 PMCID: PMC5040554 DOI: 10.1038/npjschz.2016.33] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 08/08/2016] [Accepted: 08/10/2016] [Indexed: 02/04/2023]
Abstract
Reduction in hippocampal volume is a hallmark of schizophrenia and already present in the
clinical high-risk state. Nevertheless, other subcortical structures, such as the
thalamus, amygdala and pallidum can differentiate schizophrenia patients from controls. We
studied the role of hippocampal and subcortical structures in clinical high-risk
individuals from two cohorts. High-resolution T1-weighted structural MRI brain
scans of a total of 91 clinical high-risk individuals and 64 healthy controls were
collected in two centers. The bilateral volume of the hippocampus, the thalamus, the
caudate, the putamen, the pallidum, the amygdala, and the accumbens were automatically
segmented using FSL-FIRST. A linear mixed-effects model and a prospective meta-analysis
were applied to assess group-related volumetric differences. We report reduced hippocampal
and thalamic volumes in clinical high-risk individuals compared to healthy controls. No
volumetric alterations were detected for the caudate, the putamen, the pallidum, the
amygdala, or the accumbens. Moreover, we found comparable medium effect sizes for
group-related comparison of the thalamus in the two analytical methods. These findings
underline the relevance of specific alterations in the hippocampal and subcortical volumes
in the high-risk state. Further analyses may allow hippocampal and thalamic volumes to be
used as biomarkers to predict psychosis.
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Affiliation(s)
| | - Roman Buechler
- The Zurich Program for Sustainable Development of Mental Health Services, Psychiatric Hospital, University of Zurich , Zurich, Switzerland
| | - Renata Smieskova
- Department of Psychiatry, University of Basel, Basel, Switzerland; Medical Image Analysis Centre, University of Basel, Basel, Switzerland
| | - Claudia Lenz
- Department of Psychiatry, University of Basel , Basel, Switzerland
| | - Anna Walter
- Department of Psychiatry, University of Basel , Basel, Switzerland
| | - Laura Egloff
- Department of Psychiatry, University of Basel , Basel, Switzerland
| | - Kerstin Bendfeldt
- Medical Image Analysis Centre, University of Basel , Basel, Switzerland
| | - Andor E Simon
- Specialized Early Psychosis Outpatient Service for Adolescents and Young Adults, Department of Psychiatry , Bruderholz, Switzerland
| | - Diana Wotruba
- The Zurich Program for Sustainable Development of Mental Health Services, Psychiatric Hospital, University of Zurich , Zurich, Switzerland
| | - Anastasia Theodoridou
- The Zurich Program for Sustainable Development of Mental Health Services, Psychiatric Hospital, University of Zurich , Zurich, Switzerland
| | - Wulf Rössler
- The Zurich Program for Sustainable Development of Mental Health Services, Psychiatric Hospital, University of Zurich , Zurich, Switzerland
| | | | - Undine E Lang
- Department of Psychiatry, University of Basel , Basel, Switzerland
| | - Karsten Heekeren
- The Zurich Program for Sustainable Development of Mental Health Services, Psychiatric Hospital, University of Zurich , Zurich, Switzerland
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland; Medical Image Analysis Centre, University of Basel, Basel, Switzerland; Department of Psychosis Studies, King's College London, Institute of Psychiatry Psychology and Neuroscience, London, UK
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Pini L, Pievani M, Bocchetta M, Altomare D, Bosco P, Cavedo E, Galluzzi S, Marizzoni M, Frisoni GB. Brain atrophy in Alzheimer's Disease and aging. Ageing Res Rev 2016; 30:25-48. [PMID: 26827786 DOI: 10.1016/j.arr.2016.01.002] [Citation(s) in RCA: 409] [Impact Index Per Article: 51.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 01/15/2016] [Accepted: 01/20/2016] [Indexed: 01/22/2023]
Abstract
Thanks to its safety and accessibility, magnetic resonance imaging (MRI) is extensively used in clinical routine and research field, largely contributing to our understanding of the pathophysiology of neurodegenerative disorders such as Alzheimer's disease (AD). This review aims to provide a comprehensive overview of the main findings in AD and normal aging over the past twenty years, focusing on the patterns of gray and white matter changes assessed in vivo using MRI. Major progresses in the field concern the segmentation of the hippocampus with novel manual and automatic segmentation approaches, which might soon enable to assess also hippocampal subfields. Advancements in quantification of hippocampal volumetry might pave the way to its broader use as outcome marker in AD clinical trials. Patterns of cortical atrophy have been shown to accurately track disease progression and seem promising in distinguishing among AD subtypes. Disease progression has also been associated with changes in white matter tracts. Recent studies have investigated two areas often overlooked in AD, such as the striatum and basal forebrain, reporting significant atrophy, although the impact of these changes on cognition is still unclear. Future integration of different MRI modalities may further advance the field by providing more powerful biomarkers of disease onset and progression.
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Affiliation(s)
- Lorenzo Pini
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Michela Pievani
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy
| | - Martina Bocchetta
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK
| | - Daniele Altomare
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Paolo Bosco
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy
| | - Enrica Cavedo
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; Sorbonne Universités, Université Pierre et Marie Curie, Paris 06, Institut de la Mémoire et de la Maladie d'Alzheimer (IM2A) Hôpital de la Pitié-Salpétrière & Institut du Cerveau et de la Moelle épinière (ICM), UMR S 1127, Hôpital de la Pitié-Salpétrière Paris & CATI Multicenter Neuroimaging Platform, France
| | - Samantha Galluzzi
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy
| | - Moira Marizzoni
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy
| | - Giovanni B Frisoni
- Laboratory Alzheimer's Neuroimaging & Epidemiology, IRCCS Fatebenefratelli, Brescia, Italy; Memory Clinic and LANVIE-Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
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50
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Wu H, Wang X, Gao Y, Lin F, Song T, Zou Y, Xu L, Lei H. NMDA receptor antagonism by repetitive MK801 administration induces schizophrenia-like structural changes in the rat brain as revealed by voxel-based morphometry and diffusion tensor imaging. Neuroscience 2016; 322:221-33. [DOI: 10.1016/j.neuroscience.2016.02.043] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2015] [Revised: 02/17/2016] [Accepted: 02/17/2016] [Indexed: 12/19/2022]
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