1
|
Cipriani G, Danti S, Nuti A, Di Fiorino M, Cammisuli DM. Is that schizophrenia or frontotemporal dementia? Supporting clinicians in making the right diagnosis. Acta Neurol Belg 2020; 120:799-804. [PMID: 32314269 DOI: 10.1007/s13760-020-01352-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 03/31/2020] [Indexed: 01/01/2023]
Abstract
Schizophrenia (SCH) and frontotemporal dementia (FTD) are neurobehavioral syndromes characterized by a profound alteration in personal and social conduct. Differential diagnosis between SCH and FTD remains a challenge. In this short narrative review, we summarize evidences regarding similarities and differences between these disorders to support clinicians in making the right diagnosis. Reports of FTD misdiagnosed as schizophrenia or schizophrenia-like psychosis are frequently reported in the literature. The behavioural variant of FTD (bvFTD) along with familial FTD characterized by delusions and hallucinations represent the medical conditions that best illustrate overlaps between psychiatry and neurology. Neuropsychological patterns of core deficits and anatomical and physiological brain alterations primarily concur in differencing such disorders while additional research on genetic alterations and their reflection on clinical phenotypes should be implemented in the near future. In some cases, a correct diagnosis should be made within an interdisciplinary clinical setting by complementary competences and follow-up visits to evaluate pathology evolution.
Collapse
Affiliation(s)
| | - Sabrina Danti
- Psychology Unit, Hospital of Pontedera, Pontedera, Italy
| | - Angelo Nuti
- Neurology Unit, Versilia Hospital, Lido di Camaiore, Italy
| | | | - Davide M Cammisuli
- Department of Biomedical and Clinical Sciences "L. Sacco", University of Milan (La Statale), Milan, Italy.
| |
Collapse
|
2
|
Fusar-Poli P, Caverzasi E, Cortesi M. Pooling of data in psychiatric neuroimaging: A bridge towards clinical neuroimaging? Eur Psychiatry 2020; 22:265. [PMID: 17142015 DOI: 10.1016/j.eurpsy.2006.08.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2006] [Accepted: 08/30/2006] [Indexed: 11/23/2022] Open
|
3
|
Pientka LJ, Schulz SC, Lim KO, Jasberg SG. The Clinical Impact of Neuroimaging in First-Episode Psychosis. CLINICAL SCHIZOPHRENIA & RELATED PSYCHOSES 2017:CSRP.LPSS.111717. [PMID: 29164931 DOI: 10.3371/csrp.lpss.111717] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Affiliation(s)
- Laura J Pientka
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - S Charles Schulz
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Kelvin O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Suzanne G Jasberg
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
- PrairieCare, A University of Minnesota Medical School Affiliate, Minneapolis, MN, USA
| |
Collapse
|
4
|
Ma Q, Khademhosseinieh B, Huang E, Qian H, Bakowski MA, Troemel ER, Liu Z. Three-dimensional fluorescent microscopy via simultaneous illumination and detection at multiple planes. Sci Rep 2016; 6:31445. [PMID: 27527813 PMCID: PMC4985622 DOI: 10.1038/srep31445] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Accepted: 07/21/2016] [Indexed: 11/22/2022] Open
Abstract
The conventional optical microscope is an inherently two-dimensional (2D) imaging tool. The objective lens, eyepiece and image sensor are all designed to capture light emitted from a 2D ‘object plane’. Existing technologies, such as confocal or light sheet fluorescence microscopy have to utilize mechanical scanning, a time-multiplexing process, to capture a 3D image. In this paper, we present a 3D optical microscopy method based upon simultaneously illuminating and detecting multiple focal planes. This is implemented by adding two diffractive optical elements to modify the illumination and detection optics. We demonstrate that the image quality of this technique is comparable to conventional light sheet fluorescent microscopy with the advantage of the simultaneous imaging of multiple axial planes and reduced number of scans required to image the whole sample volume.
Collapse
Affiliation(s)
- Qian Ma
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Bahar Khademhosseinieh
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Eric Huang
- Department of Physics, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Haoliang Qian
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Malina A Bakowski
- Division of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Emily R Troemel
- Division of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| | - Zhaowei Liu
- Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA
| |
Collapse
|
5
|
Coentre R, Silva-dos-Santos A, Talina MC. Retrospective study on structural neuroimaging in first-episode psychosis. PeerJ 2016; 4:e2069. [PMID: 27257547 PMCID: PMC4888294 DOI: 10.7717/peerj.2069] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Accepted: 05/02/2016] [Indexed: 11/20/2022] Open
Abstract
Background. No consensus between guidelines exists regarding neuroimaging in first-episode psychosis. The purpose of this study is to assess anomalies found in structural neuroimaging exams (brain computed tomography (CT) and magnetic resonance imaging (MRI)) in the initial medical work-up of patients presenting first-episode psychosis. Methods. The study subjects were 32 patients aged 18-48 years (mean age: 29.6 years), consecutively admitted with first-episode psychosis diagnosis. Socio-demographic and clinical data and neuroimaging exams (CT and MRI) were retrospectively studied. Diagnostic assessments were made using the Operational Criteria Checklist +. Neuroimaging images (CT and MRI) and respective reports were analysed by an experienced consultant psychiatrist. Results. None of the patients had abnormalities in neuroimaging exams responsible for psychotic symptoms. Thirty-seven percent of patients had incidental brain findings not causally related to the psychosis (brain atrophy, arachnoid cyst, asymmetric lateral ventricles, dilated lateral ventricles, plagiocephaly and falx cerebri calcification). No further medical referral was needed for any of these patients. No significant differences regarding gender, age, diagnosis, duration of untreated psychosis, in-stay and cannabis use were found between patients who had neuroimaging abnormalities versus those without. Discussion. This study suggests that structural neuroimaging exams reveal scarce abnormalities in young patients with first-episode psychosis. Structural neuroimaging is especially useful in first-episode psychosis patients with neurological symptoms, atypical clinical picture and old age.
Collapse
Affiliation(s)
- Ricardo Coentre
- First-Episode Psychosis Program, Department of Psychiatry, Hospital Vila Franca de Xira, Vila Franca de Xira, Portugal
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | | | - Miguel Cotrim Talina
- Department of Psychiatry, Hospital Vila Franca de Xira, Vila Franca de Xira, Portugal
- CEDOC, Chronic Diseases Research Centre, Nova Medical School, Lisbon, Portugal
| |
Collapse
|
6
|
Abstract
We report on the case of a middle aged lady who was referred by her GP with what appeared to be a case of first episode psychosis. Following assessment and investigation an underlying cerebellar tumour was identified. Our aim is to draw attention to the ongoing debates regarding the possible role of the cerebellum in psychosis and cognition and on neuroimaging as a diagnostic modality in cases of first episode psychosis.
Collapse
|
7
|
Li Y, Shen D, Qiu C. Olfactory groove meningioma presenting as pure depression without neurological symptoms. Asia Pac Psychiatry 2014; 6:237-40. [PMID: 24753368 DOI: 10.1111/appy.12126] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Accepted: 02/06/2014] [Indexed: 02/05/2023]
Affiliation(s)
- Yuanyuan Li
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China
| | | | | |
Collapse
|
8
|
Giusti-Rodríguez P, Sullivan PF. The genomics of schizophrenia: update and implications. J Clin Invest 2013; 123:4557-63. [PMID: 24177465 PMCID: PMC3809776 DOI: 10.1172/jci66031] [Citation(s) in RCA: 77] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Schizophrenia is strongly familial yet rarely (if ever) exhibits classical Mendelian inheritance patterns. The advent of large-scale genotyping and sequencing projects has yielded large data sets with higher statistical power in an effort to uncover new associations with schizophrenia. Here, we review the challenges in dissecting the genetics of schizophrenia and provide an update of the current understanding of the underlying genomics. We discuss the breadth of susceptibility alleles, including those that may occur with low frequency and high disease risk, such as the 22q11.2 hemideletion, as well as alleles that may occur with greater frequency but convey a lower risk of schizophrenia, such as variants in genes encoding subunits of the voltage-gated L-type calcium channel. Finally, we provide an overview of the clinical implications for the diagnosis and treatment of schizophrenia based on progress in understanding the underlying genetic basis.
Collapse
Affiliation(s)
- Paola Giusti-Rodríguez
- Department of Genetics, Center for Psychiatric Genomics, and
Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Patrick F. Sullivan
- Department of Genetics, Center for Psychiatric Genomics, and
Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, USA.
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
9
|
Schwartz AC, Afejuku A, Garlow SJ. Bifrontal meningioma presenting as postpartum depression with psychotic features. PSYCHOSOMATICS 2012; 54:187-91. [PMID: 22541808 DOI: 10.1016/j.psym.2012.01.011] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2012] [Revised: 01/27/2012] [Accepted: 01/30/2012] [Indexed: 10/28/2022]
Affiliation(s)
- Ann C Schwartz
- Emory University School of Medicine, Atlanta, GA 30322, USA.
| | | | | |
Collapse
|
10
|
Santos PE, Thomaz CE, dos Santos D, Freire R, Sato JR, Louzã M, Sallet P, Busatto G, Gattaz WF. Exploring the knowledge contained in neuroimages: statistical discriminant analysis and automatic segmentation of the most significant changes. Artif Intell Med 2010; 49:105-15. [PMID: 20452195 DOI: 10.1016/j.artmed.2010.03.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2007] [Revised: 03/22/2010] [Accepted: 03/23/2010] [Indexed: 01/29/2023]
Abstract
OBJECTIVE The aim of this article is to propose an integrated framework for extracting and describing patterns of disorders from medical images using a combination of linear discriminant analysis and active contour models. METHODS A multivariate statistical methodology was first used to identify the most discriminating hyperplane separating two groups of images (from healthy controls and patients with schizophrenia) contained in the input data. After this, the present work makes explicit the differences found by the multivariate statistical method by subtracting the discriminant models of controls and patients, weighted by the pooled variance between the two groups. A variational level-set technique was used to segment clusters of these differences. We obtain a label of each anatomical change using the Talairach atlas. RESULTS In this work all the data was analysed simultaneously rather than assuming a priori regions of interest. As a consequence of this, by using active contour models, we were able to obtain regions of interest that were emergent from the data. The results were evaluated using, as gold standard, well-known facts about the neuroanatomical changes related to schizophrenia. Most of the items in the gold standard was covered in our result set. CONCLUSIONS We argue that such investigation provides a suitable framework for characterising the high complexity of magnetic resonance images in schizophrenia as the results obtained indicate a high sensitivity rate with respect to the gold standard.
Collapse
Affiliation(s)
- Paulo E Santos
- Electrical Engineering Department, Centro Universitário da Fundação Educacional Inaciana, Av. Humberto de A. Castelo Branco, SBC-SP, Brazil.
| | | | | | | | | | | | | | | | | |
Collapse
|
11
|
Three-dimensional textural analysis of brain images reveals distributed grey-matter abnormalities in schizophrenia. Eur Radiol 2009; 20:941-8. [DOI: 10.1007/s00330-009-1605-1] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2009] [Accepted: 08/06/2009] [Indexed: 10/20/2022]
|
12
|
Das P, Lagopoulos J, Sæther O, Malhi GS. Is computed tomography still useful as a neuroimaging tool in psychiatry? ACTA ACUST UNITED AC 2008; 2:1003-11. [PMID: 23495922 DOI: 10.1517/17530059.2.9.1003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Computed tomography (CT) has played a pivotal role in psychiatry from its inception; however with the advent of other high-resolution noninvasive neuroimaging techniques such as MRI, the field has gone through a dramatic transformation. OBJECTIVE This article will explore the current role of CT in psychiatry. METHODS An extensive search of the published literature (1970 - 2008) was conducted, employing a number of databases and terms relevant to CT and imaging. RESULTS/CONCLUSION At present CT is primarily used as a screening tool to exclude intracranial pathology. This is partly because it is widely available and less expensive than other imaging modalities. CT is unable to provide region-specific information like MRI and this has restricted its use in disorders in which functional disturbances are suspected, however it remains the preferred mode of investigation where gross structural abnormalities are suspected.
Collapse
Affiliation(s)
- Pritha Das
- University of Sydney, Northern Clinical School, Academic Discipline of Psychological Medicine, Sydney, Australia
| | | | | | | |
Collapse
|
13
|
Fusar-Poli P, Broome M, Cortesi M. Can neuroimaging reduce social stigma in schizophrenia? Med Hypotheses 2007; 69:457. [PMID: 17459599 DOI: 10.1016/j.mehy.2006.07.036] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2006] [Accepted: 07/29/2006] [Indexed: 10/23/2022]
|
14
|
Abstract
PURPOSE OF REVIEW Psychiatric neuroimaging has made a dramatic impact on the understanding of the brain in mental illness in a relatively brief period of time and continues to be evolving in terms of methodology, analysis and utilization of the combination of techniques. Given the level of sophistication of the techniques and the importance of imaging in current academic psychiatry, it is timely to review its conceptual influence on psychopathology. RECENT FINDINGS The study will review scientific advances in psychiatric neuromaging, around the themes of functional connectivity, diffusion tensor imaging, magnetoencephalography, modality integration, meta-analyses and mega-analyses of data and discuss recent influential findings in contemporary research. We then focus on more conceptual issues relating to biological psychiatry and its relationship with cognitive neuroscience. We discuss the dominant paradigm of scientific psychopathology, namely cognitive neuropsychiatry and how it relates more broadly to imaging and cognitive science and elaborate on the philosophical positions of the paradigm and how it views abnormal mental states. SUMMARY We conclude that despite the advances in biological psychiatry and the power of the cognitive neuropsychiatry paradigm, its findings are logically contingent upon psychopathology and the normatively defined terms employed therein.
Collapse
Affiliation(s)
- Paolo Fusar-Poli
- PO 67, Section of Neuroimaging, Division of Psychological Medicine, Institute of Psychiatry, De Crespigny Park, London, UK
| | | |
Collapse
|