Special Issue "Imaging of Mental Disorders"

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Psychiatry".

Deadline for manuscript submissions: closed (31 December 2020).

Special Issue Editor

Dr. Joaquim Raduà
Website
Guest Editor
1. Imaging of Mood- and Anxiety-Related Disorders (IMARD) group, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, Barcelona, Spain
2. Early Psychosis: Interventions and Clinical-detection Lab (EPIC), Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
3. Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
Interests: neuroimaging; statistics; magnetic resonance; neuroscience; mental disorders; meta-analysis

Special Issue Information

Nearly fifty years after Eve Johnstone and colleagues reported ventricular enlargement in schizophrenia and its relation to cognitive impairment, the traditional unimodal comparisons of gray matter volume or BOLD response between patients and healthy controls have progressively given way to a new generation of more sophisticated studies. For example, some studies explore the relations between imaging and genetics, others employ multimodal approaches, others use MRI to conduct neurofeedback therapies, and yet again others use machine learning algorithms to bring research and clinical practice closer. The aim of this Special Issue is this new generation of imaging research in mental disorders. Thus, the main scope of the studies included in this issue will encompass imaging genetics, multimodal neuroimaging, neurofeedback, image-based machine learning, and any other novel imaging approach, as long as they are applied to the investigation of mental disorders. We will also welcome traditional unimodal comparisons if they are focused on psychiatric conditions that have seldom been investigated by previous studies.

Dr. Joaquim Raduà
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Imaging
  • Neuroimaging
  • Mental disorders
  • Multimodal
  • Machine learning
  • Magnetic resonance
  • Neurofeedback
  • Genetics

Published Papers (1 paper)

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Research

Open AccessArticle
DSC Brain Perfusion Using Advanced Deconvolution Models in the Diagnostic Work-Up of Dementia and Mild Cognitive Impairment: A Semiquantitative Comparison with HMPAO-SPECT-Brain Perfusion
J. Clin. Med. 2020, 9(6), 1800; https://doi.org/10.3390/jcm9061800 - 09 Jun 2020
Abstract
Background: SPECT (single-photon emission-computed tomography) is used for the detection of hypoperfusion in cognitive impairment and dementia but is not widely available and related to radiation dose exposure. We compared the performance of DSC (dynamic susceptibility contrast) perfusion using semi- and fully adaptive [...] Read more.
Background: SPECT (single-photon emission-computed tomography) is used for the detection of hypoperfusion in cognitive impairment and dementia but is not widely available and related to radiation dose exposure. We compared the performance of DSC (dynamic susceptibility contrast) perfusion using semi- and fully adaptive deconvolution models to HMPAO-SPECT (99mTc-hexamethylpropyleneamine oxime-SPECT). Material and Methods: Twenty-seven patients with dementia of different subtypes including frontotemporal dementia (FTD) and mild cognitive impairment (MCI) received a multimodal diagnostic work-up including DSC perfusion at a clinical 3T high-field scanner and HMPAO-SPECT. Nineteen healthy control individuals received DSC perfusion. For calculation of the hemodynamic parameter maps, oscillation-index standard truncated singular value decomposition (oSVD, semi-adaptive) as well as Bayesian parameter estimation (BAY, fully adaptive) were performed. Results: Patients showed decreased cortical perfusion in the left frontal lobe compared to controls (relative cerebral blood volume corrected, rBVc: 0.37 vs. 0.27, p = 0.048, adjusted for age and sex). Performance of rBVc (corrected for T1 effects) was highest compared to SPECT for detection of frontal hypoperfusion (sensitivity 83%, specificity 80% for oSVD and BAY, area under curve (AUC) = 0.833 respectively, p < 0.05) in FTD and MCI. For nonleakage-corrected rBV and for rBF (relative cerebral blood flow), sensitivity of frontal hypoperfusion was above 80% for oSVD and for BAY (rBV: sensitivity 83%, specificity 75%, AUC = 0.908 for oSVD and 0.917 for BAY, p < 0.05 respectively; rBF: sensitivity 83%, specificity 65%, AUC = 0.825, p < 0.05 for oSVD). Conclusion: Advanced deconvolution DSC can reliably detect pathological perfusion alterations in FTD and MCI. Hence, this widely accessible technique has the potential to improve the diagnosis of dementia and MCI as part of an interdisciplinary multimodal imaging work-up. Advances in knowledge: Advanced DSC perfusion has a high potential in the work-up of suspected dementia and correlates with SPECT brain perfusion results in dementia and MCI. Full article
(This article belongs to the Special Issue Imaging of Mental Disorders)
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