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Positron emission tomography (PET) has significantly advanced our understanding of the brain by enabling non-invasive imaging and quantification of molecular processes, including receptor binding. In this review, we explore the development and application of PET radioligands targeting the α7 nicotinic acetylcholine receptor (α7 nAChR), a receptor implicated in various central nervous system (CNS) diseases, such as Alzheimer's disease, schizophrenia and cognitive disorders. Despite challenges associated with the low density of α7 nAChRs and difficulties in achieving adequate brain penetration, several promising radioligands have been developed, including C-(R)-MeQAA, C-NS14492 and F-ASEM. These radioligands facilitate the evaluation of the 'three pillars of survival' in drug development: tissue accessibility, target engagement and downstream pharmacology. PET imaging offers critical insights into drug distribution across the blood-brain barrier, receptor occupancy and the pharmacodynamic effects of α7 nAChR-targeted therapies. By reviewing current radioligands and their applications, we highlight the potential of PET imaging to deepen our understanding of α7 nAChR-mediated signalling pathways and its implications for CNS drug discovery. Future innovations in radioligand development, including more selective and brain-penetrant compounds, will be key to fully realizing the potential of PET imaging in α7 nAChR-targeted research and treatment.
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http://dx.doi.org/10.1111/bcpt.70025 | DOI Listing |
Neurology
October 2025
Department of Radiology, Mayo Clinic, Rochester, MN.
Background And Objectives: The relationship between insomnia and cognitive decline is poorly understood. We investigated associations between chronic insomnia, longitudinal cognitive outcomes, and brain health in older adults.
Methods: From the population-based Mayo Clinic Study of Aging, we identified cognitively unimpaired older adults with or without a diagnosis of chronic insomnia who underwent annual neuropsychological assessments (z-scored global cognitive scores and cognitive status) and had quantified serial imaging outcomes (amyloid-PET burden [centiloid] and white matter hyperintensities from MRI [WMH, % of intracranial volume]).
Clin Nucl Med
September 2025
Department of Nuclear Medicine & PET/CT, Mahajan Imaging & Labs.
SCN2A gene mutations, which affect the function of the voltage-gated sodium channel NaV1.2, are associated with a spectrum of neurological disorders, including epileptic encephalopathies and autism spectrum disorders. Advanced imaging modalities such as magnetic resonance imaging (MRI) and positron emission tomography (PET) have been instrumental in elucidating the neuroanatomic and functional alterations associated with these mutations.
View Article and Find Full Text PDFCereb Cortex
August 2025
Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich & ETH Zurich, Zurich, Switzerland.
Statistical Parametric Mapping (SPM) is a statistical framework and open source software package for neuroimaging data analysis. Originally created by Karl Friston in the early 1990s, it has been used by a vast number of scientific studies over the last three decades. SPM has not only revolutionized the analysis of neuroimaging data but also catalyzed the development of cognitive neuroscience.
View Article and Find Full Text PDFAnn Nucl Med
September 2025
Department of Nuclear Medicine, Marmara University School of Medicine, Istanbul, Turkey.
Objective: This study aims to systematically evaluate the inter- and intra-observer agreement regarding lesions with uncertain malignancy potential in Ga-68 PSMA PET/CT imaging of prostate cancer patients, utilizing the PSMA-RADS 2.0 classification system, and to emphasize the malignancy evidence associated with these lesions.
Methods: We retrospectively reviewed Ga-68 PSMA PET/CT images of patients diagnosed with prostate cancer via histopathology between December 2016 and November 2023.
Int J Surg
September 2025
Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
Background: Precise preoperative discrimination of invasive lung adenocarcinoma (IA) from preinvasive lesions (adenocarcinoma in situ [AIS]/minimally invasive adenocarcinoma [MIA]) and prediction of high-risk histopathological features are critical for optimizing resection strategies in early-stage lung adenocarcinoma (LUAD).
Methods: In this multicenter study, 813 LUAD patients (tumors ≤3 cm) formed the training cohort. A total of 1,709 radiomic features were extracted from the PET/CT images.