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Tondo G, Mazzini L, Caminiti SP, Gallo C, Matheoud R, Comi C, Sacchetti GM, Perani D, De Marchi F. Coupling motor evoked potentials and brain [ 18F]FDG-PET in Amyotrophic Lateral Sclerosis: preliminary findings on disease severity. Neurobiol Dis 2024; 199:106579. [PMID: 38936435 DOI: 10.1016/j.nbd.2024.106579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 06/10/2024] [Accepted: 06/24/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND The diagnosis of amyotrophic lateral sclerosis (ALS) is primarily clinical, supported by the electromyographic examination to reveal signs of lower motor neuron damage. Identifying reliable markers of upper motor neuron (UMN) involvement is challenging. On this regard, the role of transcranial magnetic stimulation-induced motor-evoked potentials (TMS-MEPs), and its relationship with UMN burden, is still under investigation. OBJECTIVE To evaluate the ability of TMS-MEPs in delineating the neurophysiological UMN damage, and to determine the relationship between TMS-MEPs and [18F]FDG-PET measures of neural dysfunction. METHODS We retrospectively selected 13 ALS patients who underwent, during the diagnostic process, the TMS-MEPs and [18F]FDG-PET scans. Demographic and clinical data were collected. For the MEP evaluation, we considered normal MEP, absent MEP, or significantly increased central-motor-conduction-time. For [18F]FDG-PET, we conducted voxel-wise analyses, both at single-subject and group levels, exploring hypometabolism and hypermetabolism patterns in comparison with a large dataset of healthy controls (HC). RESULTS Based on TMS-MEPs, we identified 4/13 patients with normal MEP in all limbs (GROUP-NO), while 9/13 had an abnormal MEP in at least one limb (GROUP-AB). Despite the [18F]FDG-PET single-subject analysis revealed heterogenous expression of regional hypo- and hyper-metabolism patterns in the patients, the group-level analysis revealed a common hypometabolism, involving the precentral gyrus and the supplementary motor area, the paracentral lobule and the anterior cingulate cortex in the GROUP-AB. Moreover, exclusively for the GROUP-AB compared with HC, a relative hypermetabolism was observed in the right cerebellum, right inferior and middle temporal gyrus. The GROUP-NO showed no specific cluster of hypo- and hyper-metabolism compared to HC. CONCLUSION This study showed altered brain metabolism only in the ALS group with abnormal MEPs, suggesting an association between the two biomarkers in defining the UMN damage.
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Affiliation(s)
- Giacomo Tondo
- Neurology Unit, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy
| | - Letizia Mazzini
- ALS Centre, Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | | | - Chiara Gallo
- Neurology Unit, Maggiore della Carità Hospital, University of Piemonte Orientale, Novara, Italy
| | - Roberta Matheoud
- Department of Medical Physics, Maggiore della Carità Hospital, Novara, Italy
| | - Cristoforo Comi
- Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, and Interdisciplinary Research Center of Autoimmune Diseases (IRCAD), University of Piemonte Orientale, Novara, Italy
| | | | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Fabiola De Marchi
- ALS Centre, Neurology Unit, Maggiore della Carità Hospital, Department of Translational Medicine, University of Piemonte Orientale, Novara, Italy.
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Carli G, Meles SK, Reesink FE, de Jong BM, Pilotto A, Padovani A, Galbiati A, Ferini-Strambi L, Leenders KL, Perani D. Comparison of univariate and multivariate analyses for brain [18F]FDG PET data in α-synucleinopathies. Neuroimage Clin 2023; 39:103475. [PMID: 37494757 PMCID: PMC10394024 DOI: 10.1016/j.nicl.2023.103475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 05/18/2023] [Accepted: 07/09/2023] [Indexed: 07/28/2023]
Abstract
BACKGROUND Brain imaging with [18F]FDG-PET can support the diagnostic work-up of patients with α-synucleinopathies. Validated data analysis approaches are necessary to evaluate disease-specific brain metabolism patterns in neurodegenerative disorders. This study compared the univariate Statistical Parametric Mapping (SPM) single-subject procedure and the multivariate Scaled Subprofile Model/Principal Component Analysis (SSM/PCA) in a cohort of patients with α-synucleinopathies. METHODS We included [18F]FDG-PET scans of 122 subjects within the α-synucleinopathy spectrum: Parkinson's Disease (PD) normal cognition on long-term follow-up (PD - low risk to dementia (LDR); n = 28), PD who developed dementia on clinical follow-up (PD - high risk of dementia (HDR); n = 16), Dementia with Lewy Bodies (DLB; n = 67), and Multiple System Atrophy (MSA; n = 11). We also included [18F]FDG-PET scans of isolated REM sleep behaviour disorder (iRBD; n = 51) subjects with a high risk of developing a manifest α-synucleinopathy. Each [18F]FDG-PET scan was compared with 112 healthy controls using SPM procedures. In the SSM/PCA approach, we computed the individual scores of previously identified patterns for PD, DLB, and MSA: PD-related patterns (PDRP), DLBRP, and MSARP. We used ROC curves to compare the diagnostic performances of SPM t-maps (visual rating) and SSM/PCA individual pattern scores in identifying each clinical condition across the spectrum. Specifically, we used the clinical diagnoses ("gold standard") as our reference in ROC curves to evaluate the accuracy of the two methods. Experts in movement disorders and dementia made all the diagnoses according to the current clinical criteria of each disease (PD, DLB and MSA). RESULTS The visual rating of SPM t-maps showed higher performance (AUC: 0.995, specificity: 0.989, sensitivity 1.000) than PDRP z-scores (AUC: 0.818, specificity: 0.734, sensitivity 1.000) in differentiating PD-LDR from other α-synucleinopathies (PD-HDR, DLB and MSA). This result was mainly driven by the ability of SPM t-maps to reveal the limited or absent brain hypometabolism characteristics of PD-LDR. Both SPM t-maps visual rating and SSM/PCA z-scores showed high performance in identifying DLB (DLBRP = AUC: 0.909, specificity: 0.873, sensitivity 0.866; SPM t-maps = AUC: 0.892, specificity: 0.872, sensitivity 0.910) and MSA (MSARP: AUC: 0.921, specificity: 0.811, sensitivity 1.000; SPM t-maps: AUC: 1.000, specificity: 1.000, sensitivity 1.000) from other α-synucleinopathies. PD-HDR and DLB were comparable for the brain hypo and hypermetabolism patterns, thus not allowing differentiation by SPM t-maps or SSM/PCA. Of note, we found a gradual increase of PDRP and DLBRP expression in the continuum from iRBD to PD-HDR and DLB, where the DLB patients had the highest scores. SSM/PCA could differentiate iRBD from DLB, reflecting specifically the differences in disease staging and severity (AUC: 0.938, specificity: 0.821, sensitivity 0.941). CONCLUSIONS SPM-single subject maps and SSM/PCA are both valid methods in supporting diagnosis within the α-synucleinopathy spectrum, with different strengths and pitfalls. The former reveals dysfunctional brain topographies at the individual level with high accuracy for all the specific subtype patterns, and particularly also the normal maps; the latter provides a reliable quantification, independent from the rater experience, particularly in tracking the disease severity and staging. Thus, our findings suggest that differences in data analysis approaches exist and should be considered in clinical settings. However, combining both methods might offer the best diagnostic performance.
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Affiliation(s)
- Giulia Carli
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Sanne K Meles
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Fransje E Reesink
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Bauke M de Jong
- Department of Neurology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Andrea Galbiati
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Department of Clinical Neuroscience, Sleep Disorders Center, San Raffaele Hospital, Milan, Italy
| | - Luigi Ferini-Strambi
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; Department of Clinical Neuroscience, Sleep Disorders Center, San Raffaele Hospital, Milan, Italy
| | - Klaus L Leenders
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
| | - Daniela Perani
- School of Psychology, Vita-Salute San Raffaele University, Milan, Italy; In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan; Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy.
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Isella V, Crivellaro C, Formenti A, Musarra M, Pacella S, Morzenti S, Ferri F, Mapelli C, Gallivanone F, Guerra L, Appollonio I, Ferrarese C. Validity of cingulate–precuneus–temporo-parietal hypometabolism for single-subject diagnosis of biomarker-proven atypical variants of Alzheimer’s Disease. J Neurol 2022; 269:4440-4451. [PMID: 35347453 PMCID: PMC9293827 DOI: 10.1007/s00415-022-11086-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 03/14/2022] [Accepted: 03/15/2022] [Indexed: 11/14/2022]
Abstract
The aim of our study was to establish empirically to what extent reduced glucose uptake in the precuneus, posterior cingulate and/or temporo-parietal cortex (PCTP), which is thought to indicate brain amyloidosis in patients with dementia or MCI due to Alzheimer’s Disease (AD), permits to distinguish amyloid-positive from amyloid-negative patients with non-classical AD phenotypes at the single-case level. We enrolled 127 neurodegenerative patients with cognitive impairment and a positive (n. 63) or negative (n. 64) amyloid marker (cerebrospinal fluid or amy-PET). Three rating methods of FDG-PET scan were applied: purely qualitative visual interpretation of uptake images (VIUI), and visual reading assisted by a semi-automated and semi-quantitative tool: INLAB, provided by the Italian National Research Council, or Cortex ID Suite, marketed by GE Healthcare. Fourteen scans (11.0%) patients remained unclassified by VIUI or INLAB procedures, therefore, validity values were computed on the remaining 113 cases. The three rating approaches showed good total accuracy (77–78%), good to optimal sensitivity (81–93%), but poorer specificity (62–75%). VIUI showed the highest sensitivity and the lowest specificity, and also the highest proportion of unclassified cases. Cases with asymmetric temporo-parietal hypometabolism and a progressive aphasia or corticobasal clinical profile, in particular, tended to be rated as AD-like, even if biomarkers indicated non-amyloid pathology. Our findings provide formal support to the value of PCTP hypometabolism for single-level diagnosis of amyloid pathophysiology in atypical AD, but also highlight the risk of qualitative assessment to misclassify patients with non-AD PPA or CBS underpinned by asymmetric temporo-parietal hypometabolism.
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Waterschoot R, D'Asseler Y, Goethals I. Comparison of an in-house acquired brain F-18 FDG PET normal database with commercially available normal data. Nucl Med Commun 2021; 42:1039-1044. [PMID: 33867483 DOI: 10.1097/mnm.0000000000001427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Current guidelines recommend the use of semiautomated assessment of F-18 FDG PET brain studies. Accuracy is influenced by the normal data, which requires knowledge of the included subjects and how they were acquired. Due to confidentiality, such information is often not completely disclosed. Our aim was to determine the variation in FDG uptake between several commercially available and our in-house normal database. METHODS Our database contains 83 healthy subjects. Outlier detection using SPM further ensured normality, resulting in exclusion of three subjects. The remaining 80 subjects were analyzed using three commercially available software packages. Z-score data per patient and per lobe were extracted and pooled in predefined age groups (18-40, 41-60 and 61-80 years old) with a calculation of mean Z-scores and SD. Correlation between Z-score output of different software was investigated. RESULTS In the 18-40 years age group, frontotemporal hypermetabolism was found with all software. Decreased cerebellar uptake was found with two software packages. Mean Z-scores are closer to zero in the 41-60 years age group compared to the younger group, and mostly within the normal range in the 61-80 years age group with all software. A moderate to high linear correlation between Z-score output was found, but individual Z-scores varied widely. CONCLUSIONS The three software packages yielded varying Z-score output, partially explained by an age mismatch between our subjects and subjects in their normal databases. A definitive explanation for the remaining differences is lacking. This emphasizes the importance of age-matched normal data and knowledge of the included databases to allow adequate preprocessing.
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Affiliation(s)
- Robbe Waterschoot
- Department of Nuclear Medicine, Ghent University Hospital, Gent, Belgium
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Two distinct pathological substrates associated with MMSE-pentagons item deficit in DLB and AD. Neuropsychologia 2019; 133:107174. [PMID: 31446008 DOI: 10.1016/j.neuropsychologia.2019.107174] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 08/17/2019] [Accepted: 08/19/2019] [Indexed: 11/22/2022]
Abstract
INTRODUCTION Dementia with Lewy Bodies (DLB) is characterized by a prominent deficit in visuospatial abilities. Visuospatial impairment is also detectable in the course of Alzheimer's dementia (AD). However, visuospatial impairment presents some differences in these two conditions, suggesting pathological involvement of distinct brain circuits. Recent studies applied a new method to score the Mini Mental State Examination (MMSE) pentagon copy subtest, namely the Qualitative Scoring Pentagon Test (QSPT), which is a sensitive measure of visuospatial abilities. Using [18F]fluorodeoxy-glucose positron emission tomography (FDG-PET), we assessed the relationship between in vivo brain metabolic dysfunction and visuospatial deficits, in terms of QSPT total value, in DLB and AD. MATERIALS AND METHODS Sixty Patients were diagnosed as DLB (n = 35) and AD (n = 25) dementia according with the standard research diagnostic criteria. Each patient underwent a FDG-PET scan as support for the final diagnosis. Patients underwent an extended neuropsychological evaluation, including MMSE, language, memory, executive functions and visuospatial abilities tests. The MMSE QSPT scoring was calculated following the methods by Caffarra et al. (2013). Offline voxel-wise correlation analysis between QSPT total scores and FDG-PET brain metabolism was then performed, correcting for MMSE, sex and disease duration. RESULTS Both groups presented reduced visuospatial performances, as assessed by QSPT scores. DLB compared to AD showed a statistically significant difference in QSPT rotation parameter (p = 0.022). In DLB, worse performance at QSPT total score, i.e. more severe visuospatial impairment, correlated with brain occipital hypometabolism (i.e. lateral occipital cortex, calcarine cortex, fusiform and lingual gyri). In AD, worse performance at QSPT total score correlated with brain hypometabolism in the right parietal cortex (i.e. superior and inferior parietal cortex and angular gyrus). DISCUSSION These findings reveal that visuospatial deficits may derive from distinct brain alterations in AD and DLB. We propose that the inabilities to perform correctly the QSPT task is related to altered visuoperceptual process in DLB, and visuospatial process in AD. This is consistent with our results showing hypometabolism in brain system related to visuoperceptual processing, namely the occipital cortex in DLB, and visuospatial processing, namely parietal cortex in AD.
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Sala A, Caminiti SP, Iaccarino L, Beretta L, Iannaccone S, Magnani G, Padovani A, Ferini-Strambi L, Perani D. Vulnerability of multiple large-scale brain networks in dementia with Lewy bodies. Hum Brain Mapp 2019; 40:4537-4550. [PMID: 31322307 DOI: 10.1002/hbm.24719] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Revised: 06/01/2019] [Accepted: 06/19/2019] [Indexed: 01/08/2023] Open
Abstract
Aberrations of large-scale brain networks are found in the majority of neurodegenerative disorders. The brain connectivity alterations underlying dementia with Lewy bodies (DLB) remain, however, still elusive, with contrasting results possibly due to the pathological and clinical heterogeneity characterizing this disorder. Here, we provide a molecular assessment of brain network alterations, based on cerebral metabolic measurements as proxies of synaptic activity and density, in a large cohort of DLB patients (N = 72). We applied a seed-based interregional correlation analysis approach (p < .01, false discovery rate corrected) to evaluate large-scale resting-state networks' integrity and their interactions. We found both local and long-distance metabolic connectivity alterations, affecting the posterior cortical networks, that is, primary visual and the posterior default mode network, as well as the limbic and attention networks, suggesting a widespread derangement of the brain connectome. Notably, patients with the lowest visual and attention cognitive scores showed the most severe connectivity derangement in regions of the primary visual network. In addition, network-level alterations were differentially associated with the core clinical manifestations, namely, hallucinations with more severe metabolic dysfunction of the attention and visual networks, and rapid eye movement sleep behavior disorder with alterations of connectivity of attention and subcortical networks. These multiple network-level vulnerabilities may modulate the core clinical and cognitive features of DLB and suggest that DLB should be considered as a complex multinetwork disorder.
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Affiliation(s)
- Arianna Sala
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Silvia Paola Caminiti
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Leonardo Iaccarino
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Luca Beretta
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Sandro Iannaccone
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | - Giuseppe Magnani
- Department of Neurology, IRCCS San Raffaele Hospital, Milan, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Luigi Ferini-Strambi
- Vita-Salute San Raffaele University, Milan, Italy.,Department of Clinical Neurosciences, San Raffaele Scientific Institute, Neurology, Sleep Disorders Center, Milan, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Milan, Italy
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Caminiti SP, Sala A, Iaccarino L, Beretta L, Pilotto A, Gianolli L, Iannaccone S, Magnani G, Padovani A, Ferini-Strambi L, Perani D. Brain glucose metabolism in Lewy body dementia: implications for diagnostic criteria. ALZHEIMERS RESEARCH & THERAPY 2019; 11:20. [PMID: 30797240 PMCID: PMC6387558 DOI: 10.1186/s13195-019-0473-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 02/10/2019] [Indexed: 01/09/2023]
Abstract
BACKGROUND [18F]FDG-PET hypometabolism patterns are indicative of different neurodegenerative conditions, even from the earliest disease phase. This makes [18F]FDG-PET a valuable tool in the diagnostic workup of neurodegenerative diseases. The utility of [18F]FDG-PET in dementia with Lewy bodies (DLB) needs further validation by considering large samples of patients and disease comparisons and applying state-of-the-art statistical methods. Here, we aimed to provide an extensive validation of the [18F]FDG-PET metabolic signatures in supporting DLB diagnosis near the first clinical assessment, which is characterized by high diagnostic uncertainty, at the single-subject level. METHODS In this retrospective study, we included N = 72 patients with heterogeneous clinical classification at entry (mild cognitive impairment, atypical parkinsonisms, possible DLB, probable DLB, and other dementias) and an established diagnosis of DLB at a later follow-up. We generated patterns of [18F]FDG-PET hypometabolism in single cases by using a validated voxel-wise analysis (p < 0.05, FWE-corrected). The hypometabolism patterns were independently classified by expert raters blinded to any clinical information. The final clinical diagnosis at follow-up (2.94 ± 1.39 [0.34-6.04] years) was considered as the diagnostic reference and compared with clinical classification at entry and with [18F]FDG-PET classification alone. In addition, we calculated the diagnostic accuracy of [18F]FDG-PET maps in the differential diagnosis of DLB with Alzheimer's disease dementia (ADD) (N = 60) and Parkinson's disease (PD) (N = 36). RESULTS The single-subject [18F]FDG-PET hypometabolism pattern, showing temporo-parietal and occipital involvement, was highly consistent across DLB cases. Clinical classification at entry produced several misclassifications with an agreement of only 61.1% with the diagnostic reference. On the contrary, [18F]FDG-PET hypometabolism maps alone accurately predicted diagnosis of DLB at follow-up (88.9%). The high power of the [18F]FDG-PET hypometabolism signature in predicting the final clinical diagnosis allowed a ≈ 50% increase in accuracy compared to the first clinical assessment alone. Finally, [18F]FDG-PET hypometabolism maps yielded extremely high discriminative power, distinguishing DLB from ADD and PD conditions with an accuracy of > 90%. CONCLUSION The present validation of the diagnostic and prognostic accuracy of the disease-specific brain metabolic signature in DLB at the single-subject level argues for the consideration of [18F]FDG-PET in the early phase of the DLB diagnostic flowchart. The assessment of the [18F]FDG-PET hypometabolism pattern at entry may shorten the diagnostic time, resulting in benefits for treatment options and management of patients.
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Affiliation(s)
- Silvia Paola Caminiti
- Vita-Salute San Raffaele University, Via Olgettina, 60, Segrate, 20132, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Arianna Sala
- Vita-Salute San Raffaele University, Via Olgettina, 60, Segrate, 20132, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Leonardo Iaccarino
- Vita-Salute San Raffaele University, Via Olgettina, 60, Segrate, 20132, Milan, Italy.,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Luca Beretta
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Andrea Pilotto
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy.,Parkinson's Disease Rehabilitation Centre, FERB Onlus S. Isidoro Hospital, Via Ospedale, 34, 24069, Trescore Balneario, Italy
| | - Luigi Gianolli
- Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Sandro Iannaccone
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Giuseppe Magnani
- Department of Neurology and INSPE, San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Viale Europa, 11, 25123, Brescia, Italy
| | - Luigi Ferini-Strambi
- Vita-Salute San Raffaele University, Via Olgettina, 60, Segrate, 20132, Milan, Italy.,Department of Clinical Neurosciences, San Raffaele Scientific Institute, Neurology, Sleep Disorders Center, Via Stamira d'Ancona, 20, 20127, Milan, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Via Olgettina, 60, Segrate, 20132, Milan, Italy. .,In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, Segrate, 20132, Milan, Italy. .,Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Via Olgettina, 60, Segrate, 20132, Milan, Italy.
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Sala A, Iaccarino L, Fania P, Vanoli EG, Fallanca F, Pagnini C, Cerami C, Calvo A, Canosa A, Pagani M, Chiò A, Cistaro A, Perani D. Testing the diagnostic accuracy of [18F]FDG-PET in discriminating spinal- and bulbar-onset amyotrophic lateral sclerosis. Eur J Nucl Med Mol Imaging 2019; 46:1117-1131. [PMID: 30617963 DOI: 10.1007/s00259-018-4246-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 12/19/2018] [Indexed: 12/27/2022]
Abstract
PURPOSE The role for [18F]FDG-PET in supporting amyotrophic lateral sclerosis (ALS) diagnosis is not fully established. In this study, we aim at evaluating [18F]FDG-PET hypo- and hyper-metabolism patterns in spinal- and bulbar-onset ALS cases, at the single-subject level, testing the diagnostic value in discriminating the two conditions, and the correlations with core clinical symptoms severity. METHODS We included 95 probable-ALS patients with [18F]FDG-PET scan and clinical follow-up. [18F]FDG-PET images were analyzed with an optimized voxel-based-SPM method. The resulting single-subject SPM-t maps were used to: (a) assess brain regional hypo- and hyper-metabolism; (b) evaluate the accuracy of regional hypo- and hyper metabolism in discriminating spinal vs. bulbar-onset ALS; (c) perform correlation analysis with motor symptoms severity, as measured by ALS-FRS-R. RESULTS Primary motor cortex showed the most frequent hypo-metabolism in both spinal-onset (∼57%) and bulbar-onset (∼64%) ALS; hyper-metabolism was prevalent in the cerebellum in both spinal-onset (∼56.5%) and bulbar-onset (∼55.7%) ALS, and in the occipital cortex in bulbar-onset (∼62.5%) ALS. Regional hypo- and hyper-metabolism yielded a very low accuracy (AUC < 0.63) in discriminating spinal- vs. bulbar-onset ALS, as obtained from single-subject SPM-t-maps. Severity of motor symptoms correlated with hypo-metabolism in sensorimotor cortex in spinal-onset ALS, and with cerebellar hyper-metabolism in bulbar-onset ALS. CONCLUSIONS The high variability in regional hypo- and hyper-metabolism patterns, likely reflecting the heterogeneous pathology and clinical phenotypes, limits the diagnostic potential of [18F]FDG-PET in discriminating spinal and bulbar onset patients.
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Affiliation(s)
- Arianna Sala
- Vita-Salute San Raffaele University, Milan, Italy
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Leonardo Iaccarino
- Vita-Salute San Raffaele University, Milan, Italy
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Piercarlo Fania
- Positron Emission Tomography Centre IRMET, Affidea, Turin, Italy
| | - Emilia G Vanoli
- Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Via Olgettina, 60, Milan, Italy
| | - Federico Fallanca
- Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Via Olgettina, 60, Milan, Italy
| | - Caterina Pagnini
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Chiara Cerami
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Clinical Neuroscience Department, San Raffaele Turro Hospital, Milan, Italy
| | - Andrea Calvo
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Antonio Canosa
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
| | - Marco Pagani
- Institute of Cognitive Sciences and Technologies, C.N.R, Rome, Italy
- Department of Nuclear Medicine, Karolinska Hospital, Stockholm, Sweden
| | - Adriano Chiò
- ALS Center, 'Rita Levi Montalcini' Department of Neuroscience, University of Turin, Turin, Italy
- Institute of Cognitive Sciences and Technologies, C.N.R, Rome, Italy
- Neuroscience Institute of Turin, Turin, Italy
| | - Angelina Cistaro
- Department of Neuroscience, Advisor Nuclear Medicine for Amiotrophic Lateral SclerosisRegional Expert Center, University of Turin, Turin, Italy
| | - Daniela Perani
- Vita-Salute San Raffaele University, Milan, Italy.
- In Vivo Human Molecular and Structural Neuroimaging Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Nuclear Medicine Unit, IRCCS San Raffaele Hospital, Via Olgettina, 60, Milan, Italy.
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9
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Malpetti M, Sala A, Vanoli EG, Gianolli L, Luzi L, Perani D. Unfavourable gender effect of high body mass index on brain metabolism and connectivity. Sci Rep 2018; 8:12584. [PMID: 30135519 PMCID: PMC6105632 DOI: 10.1038/s41598-018-30883-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2018] [Accepted: 07/18/2018] [Indexed: 12/25/2022] Open
Abstract
The influence of Body Mass Index (BMI) on neurodegeneration in dementia has yet to be elucidated. We aimed at exploring the effects of BMI levels on cerebral resting-state metabolism and brain connectivity, as crucial measures of synaptic function and activity, in a large group of patients with Alzheimer's Dementia (AD) (n = 206), considering gender. We tested the correlation between BMI levels and brain metabolism, as assessed by 18F-FDG-PET, and the modulation of the resting-state functional networks by BMI. At comparable dementia severity, females with high BMI can withstand a lower degree of brain metabolism dysfunction, as shown by a significant BMI-brain metabolism correlation in the temporal-parietal regions, which are typically vulnerable to AD pathology (R = 0.269, p = 0.009). Of note, high BMI was also associated with reduced connectivity in frontal and limbic brain networks, again only in AD females (p < 0.05 FDR-corrected, k = 100 voxels). This suggests a major vulnerability of neural systems known to be selectively involved in brain compensatory mechanisms in AD females. These findings indicate a strong gender effect of high BMI and obesity in AD, namely reducing the available reserve mechanisms in female patients. This brings to considerations for medical practice and health policy.
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Affiliation(s)
- Maura Malpetti
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Arianna Sala
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | | | - Luigi Gianolli
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Livio Luzi
- Metabolism Research Center and Endocrinology Unit, IRCCS Policlinico San Donato Milanese, Milan, Italy
| | - Daniela Perani
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy.
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10
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Pagani M, Castelnuovo G, Daverio A, La Porta P, Monaco L, Ferrentino F, Chiaravalloti A, Fernandez I, Di Lorenzo G. Metabolic and Electrophysiological Changes Associated to Clinical Improvement in Two Severely Traumatized Subjects Treated With EMDR-A Pilot Study. Front Psychol 2018; 9:475. [PMID: 29713297 PMCID: PMC5911467 DOI: 10.3389/fpsyg.2018.00475] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Accepted: 03/21/2018] [Indexed: 01/23/2023] Open
Abstract
Neuroimaging represents a powerful tool to investigate the neurobiological correlates of Eye Movements Desensitization and Reprocessing (EMDR). The impact of EMDR on cortical and sub-cortical brain regions has been proven by several investigations demonstrating a clear association between symptoms disappearance and changes in cortical structure and functionality. The aim of this study was to assess by electroencephalography (EEG) and for the first time by positron emission tomography (PET) the changes occurring after EMDR therapy in two cases of psychological trauma following brain concussion and comatose state due to traffic accident. A 28 and a 29 years old men underwent extensive neuropsychological examination, which investigated: (i) categorical and phonological verbal fluency; (ii) episodic verbal memory; (iii) executive functions; (iv) visuospatial abilities; (v) attention and working memory as well as clinical assessment by means of psychopathological tests (CAPS, IES, BDI, SCL90R, and DES). They were then treated by eight sessions of EMDR. During the first session EEG monitoring was continuously performed and 18F-FDG PET scans, depicting brain metabolism, were acquired at rest within a week (T0). After the last session, in which the two clients were considered to be symptoms-free, neuropsychological, clinical, and PET assessment were repeated (T1). PET data were semi-quantitatively compared to a group of 18 normal controls, as for EEG the preferential cortical activations were disclosed by thresholding the individual z-score to a p < 0.05. There was a significant improvement in clinical condition for both clients associated with a significant decrease in CAPS scores. IES and BDI were found to be pathological at T0 and improved at T1 in only one subject. Visuo-constructive abilities and abstract reasoning improved after EMDR in both subjects. As for EEG, the most striking changes occurred in fronto-temporal-parietal cortex in subject 1 while subject 2 showed only minor changes. PET showed more pronounced metabolism in orbito-frontal and prefrontal cortex at T1 as compared to T0 in both subjects. In conclusion both clients had a clear clinical improvement in PTSD symptoms associated with metabolic and electrophysiological changes in limbic and associative cortex, respectively, highlighting the value of EMDR also in such extreme pathological conditions.
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Affiliation(s)
- Marco Pagani
- Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy
| | - Gianluca Castelnuovo
- Psychology Research Laboratory, Istituto Auxologico Italiano IRCCS, Ospedale San Giuseppe, Verbania, Italy.,Department of Psychology, Universitá Cattolica del Sacro Cuore, Milan, Italy
| | - Andrea Daverio
- Laboratory of Psychophysiology, Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Psychiatry and Clinical Psychology Unit, Department of Neurosciences, Fondazione Policlinico "Tor Vergata", Rome, Italy
| | | | - Leonardo Monaco
- Laboratory of Psychophysiology, Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Fabiola Ferrentino
- Laboratory of Psychophysiology, Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy
| | - Agostino Chiaravalloti
- Department of Nuclear Medicine, University of Rome "Tor Vergata", Rome, Italy.,IRCCS Neuromed, Pozzilli, Italy
| | | | - Giorgio Di Lorenzo
- Laboratory of Psychophysiology, Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Chair of Psychiatry, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.,Psychiatry and Clinical Psychology Unit, Department of Neurosciences, Fondazione Policlinico "Tor Vergata", Rome, Italy
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11
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Caminiti SP, Tettamanti M, Sala A, Presotto L, Iannaccone S, Cappa SF, Magnani G, Perani D. Metabolic connectomics targeting brain pathology in dementia with Lewy bodies. J Cereb Blood Flow Metab 2017; 37:1311-1325. [PMID: 27306756 PMCID: PMC5453453 DOI: 10.1177/0271678x16654497] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2015] [Revised: 03/24/2016] [Accepted: 05/17/2016] [Indexed: 12/21/2022]
Abstract
Dementia with Lewy bodies is characterized by α-synuclein accumulation and degeneration of dopaminergic and cholinergic pathways. To gain an overview of brain systems affected by neurodegeneration, we characterized the [18F]FDG-PET metabolic connectivity in 42 dementia with Lewy bodies patients, as compared to 42 healthy controls, using sparse inverse covariance estimation method and graph theory. We performed whole-brain and anatomically driven analyses, targeting cholinergic and dopaminergic pathways, and the α-synuclein spreading. The first revealed substantial alterations in connectivity indexes, brain modularity, and hubs configuration. Namely, decreases in local metabolic connectivity within occipital cortex, thalamus, and cerebellum, and increases within frontal, temporal, parietal, and basal ganglia regions. There were also long-range disconnections among these brain regions, all supporting a disruption of the functional hierarchy characterizing the normal brain. The anatomically driven analysis revealed alterations within brain structures early affected by α-synuclein pathology, supporting Braak's early pathological staging in dementia with Lewy bodies. The dopaminergic striato-cortical pathway was severely affected, as well as the cholinergic networks, with an extensive decrease in connectivity in Ch1-Ch2, Ch5-Ch6 networks, and the lateral Ch4 capsular network significantly towards the occipital cortex. These altered patterns of metabolic connectivity unveil a new in vivo scenario for dementia with Lewy bodies underlying pathology in terms of changes in whole-brain metabolic connectivity, spreading of α-synuclein, and neurotransmission impairment.
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Affiliation(s)
- Silvia P Caminiti
- Vita-Salute San Raffaele University, Faculty of Medicine and Surgery, Milan, Italy
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Marco Tettamanti
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
| | - Arianna Sala
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Luca Presotto
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
| | - Sandro Iannaccone
- Neurological Rehabilitation Department, San Raffaele Hospital, Milan, Italy
| | - Stefano F Cappa
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
- IUSS Pavia, Piazza della Vittoria, Pavia, Italy
| | | | - Daniela Perani
- Vita-Salute San Raffaele University, Faculty of Medicine and Surgery, Milan, Italy
- Division of Neuroscience, San Raffaele Scientific Institute, Milan, Italy
- Nuclear Medicine Unit, San Raffaele Hospital, Milan, Italy
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12
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Brain metabolic maps in Mild Cognitive Impairment predict heterogeneity of progression to dementia. NEUROIMAGE-CLINICAL 2014; 7:187-94. [PMID: 25610780 PMCID: PMC4300010 DOI: 10.1016/j.nicl.2014.12.004] [Citation(s) in RCA: 84] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Revised: 07/27/2014] [Accepted: 12/01/2014] [Indexed: 12/04/2022]
Abstract
[18F]FDG-PET imaging has been recognized as a crucial diagnostic marker in Mild Cognitive Impairment (MCI), supporting the presence or the exclusion of Alzheimer's Disease (AD) pathology. A clinical heterogeneity, however, underlies MCI definition. In this study, we aimed to evaluate the predictive role of single-subject voxel-based maps of [18F]FDG distribution generated through statistical parametric mapping (SPM) in the progression to different dementia subtypes in a sample of 45 MCI. Their scans were compared to a large normal reference dataset developed and validated for comparison at single-subject level. Additionally, Aβ42 and Tau CSF values were available in 34 MCI subjects. Clinical follow-up (mean 28.5 ± 7.8 months) assessed subsequent progression to AD or non-AD dementias. The SPM analysis showed: 1) normal brain metabolism in 14 MCI cases, none of them progressing to dementia; 2) the typical temporo-parietal pattern suggestive for prodromal AD in 15 cases, 11 of them progressing to AD; 3) brain hypometabolism suggestive of frontotemporal lobar degeneration (FTLD) subtypes in 7 and dementia with Lewy bodies (DLB) in 2 subjects (all fulfilled FTLD or DLB clinical criteria at follow-up); and 4) 7 MCI cases showed a selective unilateral or bilateral temporo-medial hypometabolism without the typical AD pattern, and they all remained stable. In our sample, objective voxel-based analysis of [18F]FDG-PET scans showed high predictive prognostic value, by identifying either normal brain metabolism or hypometabolic patterns suggestive of different underlying pathologies, as confirmed by progression at follow-up. These data support the potential usefulness of this SPM [18F]FDG PET analysis in the early dementia diagnosis and for improving subject selection in clinical trials based on MCI definition. We used an optimized voxel-based single-subject [18F]FDG-PET analysis We showed different hypometabolic patterns (AD and non-AD) underlying MCI condition Heterogeneous PET profiles predicted progression into specific dementia subtypes. Statistical analyses showed high positive and negative post-test probability values. CSF findings agreed with [18F]FDG-PET imaging in single cases.
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