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Molecular Advances in Neuroimaging

A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Neurobiology".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 1025

Special Issue Editor


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Guest Editor
1. Faculty of Medicine, School of Health Sciences, University of Ioannina, University Campus, 4511 Ioannina, Greece
2. Department of Nuclear Medicine, University Hospital of Ioannina, 1 Stavrou Niarchou Avenue, 45500 Ioannina, Greece
Interests: neuroimaging; PET CT; SPECT CT; neuro-oncology imaging

Special Issue Information

Dear Colleagues,

Positron emission tomography (PET) and single-photon emission computed tomography (SPECT) are nuclear imaging methods, capturing molecular and cellular level changes. Concerning neuroimaging, the use of such imaging modalities may provide diagnostic and prognostic information in neuro-oncology and neurodegenerative disorders.

Additionally, artificial intelligence (AI) models may be applied to molecular neuroimaging, both in PET and SPECT, providing additional information to pathophysiology and pathogenesis of disease.

We welcome research and review articles that address the following topics:

  • Molecular imaging in neurodegenerative disorders with PET-CT, PET-MRI or SPECT imaging modalities;
  • Artificial intelligence models in PET-CT, PET-MRI or SPECT imaging modalities in neurodegenerative disorders;
  • Molecular imaging in neuro-oncology with PET-CT, PET-MRI or SPECT imaging modalities;
  • Artificial intelligence models in PET-CT, PET-MRI or SPECT imaging modalities in neuro-oncology.

This Special Issue is supervised by Dr Chrissa Sioka and assisted by Dr Alexandros Giannakis (University Hospital of Ioannina).

Dr. Chrissa Sioka
Guest Editor

Manuscript Submission Information

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Keywords

  • positron emission tomography pulmonary immunology
  • single photon emission computed tomography
  • artificial intelligence
  • neuro-oncology imaging
  • neurodegenerative disorders imaging
  • molecular neuroimaging

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Published Papers (1 paper)

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Review

13 pages, 475 KB  
Review
The Evolving Role of FDG–PET in Behavioral Variant Frontotemporal Dementia: Current Applications and Future Opportunities
by Serafeim Ioannidis, Natalia Konstantinidou, Alexandros Giannakis, Chrissa Sioka and Panagiotis Ioannidis
Int. J. Mol. Sci. 2025, 26(20), 10090; https://doi.org/10.3390/ijms262010090 - 16 Oct 2025
Viewed by 478
Abstract
The diagnosis of behavioral variant of frontotemporal dementia (bvFTD)—a common cause of early-onset dementia—remains challenging due to a lack of determined biomarkers. 18F-fluorodeoxyglucose-positron emission tomography (FDG–PET) scan detects early glucose metabolism alterations in specific brain regions. The detection of distinct hypometabolic patterns in [...] Read more.
The diagnosis of behavioral variant of frontotemporal dementia (bvFTD)—a common cause of early-onset dementia—remains challenging due to a lack of determined biomarkers. 18F-fluorodeoxyglucose-positron emission tomography (FDG–PET) scan detects early glucose metabolism alterations in specific brain regions. The detection of distinct hypometabolic patterns in early stages of bvFTD has established FDG–PET as an indispensable adjunctive diagnostic tool in inconclusive cases, as well as in distinguishing between different types of dementia. Moreover, its role in the differential diagnosis of the often overlapping bvFTD and primary psychiatric disorders (PPD) is being studied by exploring disease-specific hypometabolic areas. Finally, the identification of early metabolic alterations and even earlier alterations in distinct metabolic brain networks may assist the diagnosis of presymptomatic carriers of disease-related gene mutations and lead to the development of novel biomarkers. The aim of our review is to underscore the role of FDG–PET as an approved yet promising tool that may lead to a new era in the diagnosis of bvFTD by establishing novel biomarkers and integrating AI as an assistant modality to inform diagnosis and decision-making. Full article
(This article belongs to the Special Issue Molecular Advances in Neuroimaging)
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