Advances and Applications of Neuroimaging in Brain Disorder

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 698

Special Issue Editor


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Guest Editor
Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain
Interests: neurosurgery; neuroimaging; brain tumors; magnetic resonance imaging

Special Issue Information

Dear Colleagues,

This Special Issue aims to bring together cutting-edge research that harnesses the power of neuroimaging to unravel the complexities of brain disorders, including, but not limited to, Alzheimer's disease, schizophrenia, autism spectrum disorders, traumatic brain injury and mood disorders.

Through this platform, we invite researchers, clinicians and experts in the field to contribute original research articles, reviews and perspectives that shed light on novel neuroimaging methodologies, innovative data analysis techniques and their clinical applications in diagnosing, monitoring and treating brain disorders.

Our goal is to foster an interdisciplinary collaboration and exchange of ideas, driving forward the frontier of neuroimaging research. By enriching our understanding of brain disorders through advanced imaging technologies, we aim to pave the way for a more precise diagnosis, personalized treatment approaches and ultimately, improved outcomes for individuals affected by these conditions.

Join us in this endeavor to push the boundaries of neuroimaging research and make meaningful strides toward unraveling the mysteries of the brain by embarking on this journey together to transform the landscape of neuroscience and clinical practice.

Dr. Julio Plata-Bello
Guest Editor

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Keywords

  • neuroimaging
  • magnetic resonance imaging
  • positron emission tomography
  • near infrared spectroscopy
  • brain
  • dementia
  • schizophrenia
  • depression
  • brain tumors
  • multiple sclerosis
  • autism

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Published Papers (1 paper)

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Review

17 pages, 1158 KiB  
Review
An Update on DOTA-Peptides PET Imaging and Potential Advancements of Radioligand Therapy in Intracranial Meningiomas
by Viviana Benfante, Ignazio Gaspare Vetrano, Muhammad Ali, Pierpaolo Purpura, Cesare Gagliardo, Paola Feraco, Costanza Longo, Tommaso Vincenzo Bartolotta, Patrizia Toia, Oriana Calisto, Albert Comelli, Massimo Midiri and Pierpaolo Alongi
Life 2025, 15(4), 617; https://doi.org/10.3390/life15040617 - 7 Apr 2025
Viewed by 376
Abstract
Meningiomas arise from the meningeal layers covering the central nervous system structures. Although most are benign, meningiomas can still cause neurological morbidity due to the mass effect and compression of the surrounding parenchyma. The prognosis also depends on several factors such as growth [...] Read more.
Meningiomas arise from the meningeal layers covering the central nervous system structures. Although most are benign, meningiomas can still cause neurological morbidity due to the mass effect and compression of the surrounding parenchyma. The prognosis also depends on several factors such as growth pattern or location. Morphological imaging approaches, such as MRI and CT, that emphasize intracranial calcifications, vascular patterns, or invasion of major vessels act as the basis of the diagnosis; PET/CT imaging is a valuable diagnostic tool for assessing somatostatin receptor activity in tumors. It enables the visualization and quantification of somatostatin receptor expression, providing insights into tumor biology, receptor status, and potential therapeutic targets. Aside from radiosurgery and neurosurgical intervention, peptide receptor radionuclide therapy (PRRT) has also shown promising results. Somatostatin receptors 1 and 2 are nearly universally expressed in meningioma tissue. This characteristic is increasingly exploited to identify patients eligible for adjuvant therapy using DOTA-conjugated somatostatin receptor-targeting peptides PET. In the treatment of relapsed/refractory meningiomas, PRRT is increasingly considered a safe and effective therapeutic option. It is often supported by artificial intelligence strategies for dose optimization and side-effect monitoring. The objective of this study is to evaluate the safety and benefits of these strategies based on the latest findings. Full article
(This article belongs to the Special Issue Advances and Applications of Neuroimaging in Brain Disorder)
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