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Radiomics revolutionizes medical imaging by providing quantitative analysis that complements traditional qualitative assessments through advanced computational techniques. In this narrative review we have investigated the impact of succinate dehydrogenase (SDH) pathogenic variants on the radiomic profile of 18 F-FDG, 18 F-DOPA, and 68 Ga-DOTA-peptides PET in paragangliomas, focusing on head and neck localizations (HNPGLs). This influence manifests in uptake intensity and textural heterogeneity, revealing a complex radiomic landscape that may reflect specific tumor behaviors and mutation statuses. By combining radiomic analysis with genetic data, we will gain new insights into the relationship between PET imaging features and underlying molecular changes. In the future, we envision an approach integrating macroscopic indices, such as lesion location, size, and SUV, with advanced computer-based algorithms. This comprehensive analysis could facilitate in vivo predictions of SDH pathogenic variants, thereby encouraging genetic testing, and ultimately improving patient outcomes., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Mixed primary progressive aphasia (mPPA) accounts for a substantial proportion of primary progressive aphasia (PPA) cases. However, the lack of a standardised definition of this condition has resulted in misclassification of PPA cases. In this study, we enrolled 55 patients diagnosed with PPA, comprising 12 semantic variant (svPPA), 23 logopenic variant (lvPPA), and 20 mPPA cases with linguistic characteristics consistent with both svPPA and lvPPA (s/lvPPA). All patients underwent language assessments, evaluation of Alzheimer's disease biomarkers (via cerebrospinal fluid analysis or Amyloid-PET), and 18 F-FDG-PET brain scans. An agglomerative hierarchical clustering (AHC) analysis based on linguistic characteristics revealed two distinct clusters within the s/lvPPA group: cluster k1 (n = 10) displayed an AD-like biomarker profile, with lower levels of Aβ 42 and Aβ 42 /Aβ 40 ratio, along with higher levels of t-tau and p-tau compared to cluster k2 (n = 10). Interestingly, k1 exhibited linguistic features that were similar to those of svPPA. Both clusters exhibited extensive temporoparietal hypometabolism. These findings support the hypothesis that a subgroup of s/lvPPA may represent a clinical manifestation of AD-related PPA., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier B.V. All rights reserved.)

Primary progressive aphasia (PPA) classification relies on profile characterization of quantitatively impaired/spared performance in language tasks. In this study, we coextracted 8 qualitative types of errors in 67 PPA patients submitted to a comprehensive language assessment. Canonical correlation analysis was applied to simultaneously correlate qualitative errors and brain metabolism, collected with FDG-PET. Results showed the contribution of semantic, syntactic and working memory errors associated with specific correlates of regional metabolic changes. Reduced metabolism in the left fusiform gyrus, anterior-middle and inferior-temporal gyri and middle-temporal pole correlated with an increase of semantic errors. Hypometabolism in the left inferior, middle, and superior frontal gyri, insula and right middle-occipital gyrus was related to syntactic errors. Higher metabolism in the bilateral pallidum, putamen, and left thalamus, as well as hypometabolism in the left angular and supramarginal gyri, inferior-parietal lobule, posterior-middle and inferior-temporal gyri and posterior cingulum predicted the increase of working memory errors. A relevant role of working memory subcomponents was associated with distinct neural systems. Patients' profiles are easily represented in a qualitative multidimensional space, in which mixed PPA overlapped with different phenotypes., (Copyright © 2022. Published by Elsevier Inc.)

We aimed to identify features associated with different disease trajectories in Alzheimer's disease (AD)-related primary progressive aphasia (PPA). We considered 23 patients diagnosed with AD-related PPA. All patients underwent neuropsychological evaluation, 18 F-Fluorodeoxyglucose-PET brain scan, CSF biomarkers measurement and APOE genotype analysis at baseline and underwent neurological follow-up for a mean time of 3 years. Patients who progressed to total loss of speech (TLoS + ) had greater impairment in writing and higher t-tau concentration as compared to TLoS - patients. Patients who progressed to loss of functional autonomy (LoFA + ) had greater impairment in single-word comprehension as compared to patients who maintained autonomy in self-care. Furthermore, 18 F-FDG-PET SPM analyses revealed different brain metabolic patterns between TLoS + and TLoS - and between LoFA + and LoFA - . In conclusion, linguistic profile, CSF t-tau and brain metabolic pattern might be useful tools to predict progression to total loss of speech and loss of functional autonomy in AD-related PPA patients., (Copyright © 2022 Elsevier Inc. All rights reserved.)

We aimed to detail language profiles, brain metabolic patterns and proportion of Alzheimer's disease biomarkers in a cohort of patients with mixed primary progressive aphasia (mPPA). We considered 58 patients with PPA: 10 with non-fluent/agrammatic variant (nfvPPA), 16 with semantic variant (svPPA), 21 with logopenic variant (lvPPA) and 9 with mPPA. Patients with mPPA were further classified as 4 nf/lvPPA (with prevailing features for nfvPPA and lvPPA) and 5 s/lvPPA (with prevailing features for svPPA and lvPPA). Nf/lvPPA patients were characterized by higher proportion of Naming impairment compared to nfvPPA and more frequent Grammatical Errors and Phonologic Errors than lvPPA. S/lvPPA had higher proportion of impairment in Sentences Repetition compared to svPPA and in Single-word Comprehension compared to lvPPA. 100% of nf/lvPPA and 40% of s/lvPPA had Aβ positive biomarkers. Brain hypometabolic pattern in Nf/lvPPA was consistent with lvPPA, while s/lvPPA had a brain metabolism resembling svPPA. We concluded that nf/lvPPA patients might be considered as PPA variant due to Alzheimer's disease and s/lvPPA group mainly included patients with svPPA., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Damage to nonmotor dopamine (DA)-mediated frontostriatal circuits has been proposed as the main pathophysiological basis of cognitive dysfunction in Parkinson's disease (PD). In the present study, 18 early nondemented drug naive PD patients were investigated, by dual-tracer N-ω-fluoropropyl-2β-carbomethoxy-3β-4-[123I]iodophenyl-nortropane ([123I]FP-CIT) single-photon emission computed tomography (SPECT)/[18F] fluoro-deoxyglucose (FDG) positron emission tomography (PET) imaging, to test whether an early and not yet treatment-modulated relation exists between cognitive functions, caudate nucleus (CN) DA impairment and brain metabolism (CMRglc) in associative frontostriatal circuits. Verbal fluency performance correlated with DA impairment in CN, and with CMRglc in dorsolateral prefrontal cortex (DLPFC) and anterior cingulate cortex (ACC). Further, CMRglc in orbitofrontal cortex, DLPFC, and ACC was shown to be early modulated by the level of DA impairment in CN. The present study demonstrates in vivo the early functional disruption of nonmotor frontostriatal circuits in PD. The effect of CN DA impairment on DLPFC and ACC metabolism is proposed as a possible early pathophysiological and functional substrate for executive dysfunction in PD., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Having a parent affected with late-onset Alzheimer's disease (LOAD) is a major risk factor for developing the disease among cognitively normal (NL) individuals. This magnetic resonance imaging (MRI) study examines whether NL with a LOAD-affected parent show preclinical brain atrophy, and whether there are parent-of-origin effects. Voxel-based morphometry (VBM) on Statistical parametric mapping (SPM8) was used to examine volumetric T1-MRI scans of 60 late-middle-aged NL subjects, divided into 3 size-matched, demographically balanced groups of 20 subjects each, including NL with a maternal (FHm), paternal (FHp), or negative family history (FH-) of LOAD. There were no group differences for clinical and neuropsychological measures, and ApoE status. On VBM, FHm showed reduced gray matter volumes (GMV) in frontal, parietal, and temporal cortices and precuneus as compared with FH-, and in precuneus compared with FHp (p < 0.05, family-wise error [FWE]-corrected). Results remained significant controlling for age, gender, education, ApoE, and total intracranial volume. No differences were observed between FHp and FH- in any regions. NL FHm showed reduced GMV in LOAD-affected brain regions compared with FH- and FHp, indicating higher risk for Alzheimer's disease. Our findings support the use of regional brain atrophy as a preclinical biomarker for LOAD among at-risk individuals., (Published by Elsevier Inc.)