Metabolic patterns across core features in dementia with lewy bodies

Silvia Morbelli, Andrea Chincarini, Matthias Brendel, Axel Rominger, Rose Bruffaerts, Rik Vandenberghe, Milica G. Kramberger, Maja Trost, Valentina Garibotto, Nicolas Nicastro, Giovanni B. Frisoni, Afina W. Lemstra, Jessica van der Zande, Andrea Pilotto, Alessandro Padovani, Sara Garcia-Ptacek, Irina Savitcheva, Miguel A. Ochoa-Figueroa, Annette Davidsson, Valle CamachoEnrico Peira, Dario Arnaldi, Matteo Bauckneht, Matteo Pardini, Gianmario Sambuceti, Dag Aarsland, Flavio Nobili

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Objective: To identify brain regions whose metabolic impairment contributes to dementia with Lewy bodies (DLB) clinical core features expression and to assess the influence of severity of global cognitive impairment on the DLB hypometabolic pattern. Methods: Brain fluorodeoxyglucose positron emission tomography and information on core features were available in 171 patients belonging to the imaging repository of the European DLB Consortium. Principal component analysis was applied to identify brain regions relevant to the local data variance. A linear regression model was applied to generate core-feature–specific patterns controlling for the main confounding variables (Mini-Mental State Examination [MMSE], age, education, gender, and center). Regression analysis to the locally normalized intensities was performed to generate an MMSE-sensitive map. Results: Parkinsonism negatively covaried with bilateral parietal, precuneus, and anterior cingulate metabolism; visual hallucinations (VH) with bilateral dorsolateral–frontal cortex, posterior cingulate, and parietal metabolism; and rapid eye movement sleep behavior disorder (RBD) with bilateral parieto-occipital cortex, precuneus, and ventrolateral–frontal metabolism. VH and RBD shared a positive covariance with metabolism in the medial temporal lobe, cerebellum, brainstem, basal ganglia, thalami, and orbitofrontal and sensorimotor cortex. Cognitive fluctuations negatively covaried with occipital metabolism and positively with parietal lobe metabolism. MMSE positively covaried with metabolism in the left superior frontal gyrus, bilateral–parietal cortex, and left precuneus, and negatively with metabolism in the insula, medial frontal gyrus, hippocampus in the left hemisphere, and right cerebellum. Interpretation: Regions of more preserved metabolism are relatively consistent across the variegate DLB spectrum. By contrast, core features were associated with more prominent hypometabolism in specific regions, thus suggesting a close clinical–imaging correlation, reflecting the interplay between topography of neurodegeneration and clinical presentation in DLB patients. Ann Neurol 2019;85:715–725.

Original languageEnglish
Pages (from-to)715-725
Number of pages11
JournalAnnals of Neurology
Volume85
Issue number5
DOIs
Publication statusPublished - May 1 2019

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Lewy Body Disease
Parietal Lobe
Prefrontal Cortex
Hallucinations
Gyrus Cinguli
Cerebellum
Linear Models
Brain
REM Sleep Behavior Disorder
Occipital Lobe
Parahippocampal Gyrus
Confounding Factors (Epidemiology)
Parkinsonian Disorders
Temporal Lobe
Principal Component Analysis
Basal Ganglia
Thalamus
Positron-Emission Tomography
Brain Stem
Regression Analysis

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Morbelli, S., Chincarini, A., Brendel, M., Rominger, A., Bruffaerts, R., Vandenberghe, R., ... Nobili, F. (2019). Metabolic patterns across core features in dementia with lewy bodies. Annals of Neurology, 85(5), 715-725. https://doi.org/10.1002/ana.25453

Metabolic patterns across core features in dementia with lewy bodies. / Morbelli, Silvia; Chincarini, Andrea; Brendel, Matthias; Rominger, Axel; Bruffaerts, Rose; Vandenberghe, Rik; Kramberger, Milica G.; Trost, Maja; Garibotto, Valentina; Nicastro, Nicolas; Frisoni, Giovanni B.; Lemstra, Afina W.; van der Zande, Jessica; Pilotto, Andrea; Padovani, Alessandro; Garcia-Ptacek, Sara; Savitcheva, Irina; Ochoa-Figueroa, Miguel A.; Davidsson, Annette; Camacho, Valle; Peira, Enrico; Arnaldi, Dario; Bauckneht, Matteo; Pardini, Matteo; Sambuceti, Gianmario; Aarsland, Dag; Nobili, Flavio.

In: Annals of Neurology, Vol. 85, No. 5, 01.05.2019, p. 715-725.

Research output: Contribution to journalArticle

Morbelli, S, Chincarini, A, Brendel, M, Rominger, A, Bruffaerts, R, Vandenberghe, R, Kramberger, MG, Trost, M, Garibotto, V, Nicastro, N, Frisoni, GB, Lemstra, AW, van der Zande, J, Pilotto, A, Padovani, A, Garcia-Ptacek, S, Savitcheva, I, Ochoa-Figueroa, MA, Davidsson, A, Camacho, V, Peira, E, Arnaldi, D, Bauckneht, M, Pardini, M, Sambuceti, G, Aarsland, D & Nobili, F 2019, 'Metabolic patterns across core features in dementia with lewy bodies', Annals of Neurology, vol. 85, no. 5, pp. 715-725. https://doi.org/10.1002/ana.25453
Morbelli S, Chincarini A, Brendel M, Rominger A, Bruffaerts R, Vandenberghe R et al. Metabolic patterns across core features in dementia with lewy bodies. Annals of Neurology. 2019 May 1;85(5):715-725. https://doi.org/10.1002/ana.25453
Morbelli, Silvia ; Chincarini, Andrea ; Brendel, Matthias ; Rominger, Axel ; Bruffaerts, Rose ; Vandenberghe, Rik ; Kramberger, Milica G. ; Trost, Maja ; Garibotto, Valentina ; Nicastro, Nicolas ; Frisoni, Giovanni B. ; Lemstra, Afina W. ; van der Zande, Jessica ; Pilotto, Andrea ; Padovani, Alessandro ; Garcia-Ptacek, Sara ; Savitcheva, Irina ; Ochoa-Figueroa, Miguel A. ; Davidsson, Annette ; Camacho, Valle ; Peira, Enrico ; Arnaldi, Dario ; Bauckneht, Matteo ; Pardini, Matteo ; Sambuceti, Gianmario ; Aarsland, Dag ; Nobili, Flavio. / Metabolic patterns across core features in dementia with lewy bodies. In: Annals of Neurology. 2019 ; Vol. 85, No. 5. pp. 715-725.
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abstract = "Objective: To identify brain regions whose metabolic impairment contributes to dementia with Lewy bodies (DLB) clinical core features expression and to assess the influence of severity of global cognitive impairment on the DLB hypometabolic pattern. Methods: Brain fluorodeoxyglucose positron emission tomography and information on core features were available in 171 patients belonging to the imaging repository of the European DLB Consortium. Principal component analysis was applied to identify brain regions relevant to the local data variance. A linear regression model was applied to generate core-feature–specific patterns controlling for the main confounding variables (Mini-Mental State Examination [MMSE], age, education, gender, and center). Regression analysis to the locally normalized intensities was performed to generate an MMSE-sensitive map. Results: Parkinsonism negatively covaried with bilateral parietal, precuneus, and anterior cingulate metabolism; visual hallucinations (VH) with bilateral dorsolateral–frontal cortex, posterior cingulate, and parietal metabolism; and rapid eye movement sleep behavior disorder (RBD) with bilateral parieto-occipital cortex, precuneus, and ventrolateral–frontal metabolism. VH and RBD shared a positive covariance with metabolism in the medial temporal lobe, cerebellum, brainstem, basal ganglia, thalami, and orbitofrontal and sensorimotor cortex. Cognitive fluctuations negatively covaried with occipital metabolism and positively with parietal lobe metabolism. MMSE positively covaried with metabolism in the left superior frontal gyrus, bilateral–parietal cortex, and left precuneus, and negatively with metabolism in the insula, medial frontal gyrus, hippocampus in the left hemisphere, and right cerebellum. Interpretation: Regions of more preserved metabolism are relatively consistent across the variegate DLB spectrum. By contrast, core features were associated with more prominent hypometabolism in specific regions, thus suggesting a close clinical–imaging correlation, reflecting the interplay between topography of neurodegeneration and clinical presentation in DLB patients. Ann Neurol 2019;85:715–725.",
author = "Silvia Morbelli and Andrea Chincarini and Matthias Brendel and Axel Rominger and Rose Bruffaerts and Rik Vandenberghe and Kramberger, {Milica G.} and Maja Trost and Valentina Garibotto and Nicolas Nicastro and Frisoni, {Giovanni B.} and Lemstra, {Afina W.} and {van der Zande}, Jessica and Andrea Pilotto and Alessandro Padovani and Sara Garcia-Ptacek and Irina Savitcheva and Ochoa-Figueroa, {Miguel A.} and Annette Davidsson and Valle Camacho and Enrico Peira and Dario Arnaldi and Matteo Bauckneht and Matteo Pardini and Gianmario Sambuceti and Dag Aarsland and Flavio Nobili",
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T1 - Metabolic patterns across core features in dementia with lewy bodies

AU - Morbelli, Silvia

AU - Chincarini, Andrea

AU - Brendel, Matthias

AU - Rominger, Axel

AU - Bruffaerts, Rose

AU - Vandenberghe, Rik

AU - Kramberger, Milica G.

AU - Trost, Maja

AU - Garibotto, Valentina

AU - Nicastro, Nicolas

AU - Frisoni, Giovanni B.

AU - Lemstra, Afina W.

AU - van der Zande, Jessica

AU - Pilotto, Andrea

AU - Padovani, Alessandro

AU - Garcia-Ptacek, Sara

AU - Savitcheva, Irina

AU - Ochoa-Figueroa, Miguel A.

AU - Davidsson, Annette

AU - Camacho, Valle

AU - Peira, Enrico

AU - Arnaldi, Dario

AU - Bauckneht, Matteo

AU - Pardini, Matteo

AU - Sambuceti, Gianmario

AU - Aarsland, Dag

AU - Nobili, Flavio

PY - 2019/5/1

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N2 - Objective: To identify brain regions whose metabolic impairment contributes to dementia with Lewy bodies (DLB) clinical core features expression and to assess the influence of severity of global cognitive impairment on the DLB hypometabolic pattern. Methods: Brain fluorodeoxyglucose positron emission tomography and information on core features were available in 171 patients belonging to the imaging repository of the European DLB Consortium. Principal component analysis was applied to identify brain regions relevant to the local data variance. A linear regression model was applied to generate core-feature–specific patterns controlling for the main confounding variables (Mini-Mental State Examination [MMSE], age, education, gender, and center). Regression analysis to the locally normalized intensities was performed to generate an MMSE-sensitive map. Results: Parkinsonism negatively covaried with bilateral parietal, precuneus, and anterior cingulate metabolism; visual hallucinations (VH) with bilateral dorsolateral–frontal cortex, posterior cingulate, and parietal metabolism; and rapid eye movement sleep behavior disorder (RBD) with bilateral parieto-occipital cortex, precuneus, and ventrolateral–frontal metabolism. VH and RBD shared a positive covariance with metabolism in the medial temporal lobe, cerebellum, brainstem, basal ganglia, thalami, and orbitofrontal and sensorimotor cortex. Cognitive fluctuations negatively covaried with occipital metabolism and positively with parietal lobe metabolism. MMSE positively covaried with metabolism in the left superior frontal gyrus, bilateral–parietal cortex, and left precuneus, and negatively with metabolism in the insula, medial frontal gyrus, hippocampus in the left hemisphere, and right cerebellum. Interpretation: Regions of more preserved metabolism are relatively consistent across the variegate DLB spectrum. By contrast, core features were associated with more prominent hypometabolism in specific regions, thus suggesting a close clinical–imaging correlation, reflecting the interplay between topography of neurodegeneration and clinical presentation in DLB patients. Ann Neurol 2019;85:715–725.

AB - Objective: To identify brain regions whose metabolic impairment contributes to dementia with Lewy bodies (DLB) clinical core features expression and to assess the influence of severity of global cognitive impairment on the DLB hypometabolic pattern. Methods: Brain fluorodeoxyglucose positron emission tomography and information on core features were available in 171 patients belonging to the imaging repository of the European DLB Consortium. Principal component analysis was applied to identify brain regions relevant to the local data variance. A linear regression model was applied to generate core-feature–specific patterns controlling for the main confounding variables (Mini-Mental State Examination [MMSE], age, education, gender, and center). Regression analysis to the locally normalized intensities was performed to generate an MMSE-sensitive map. Results: Parkinsonism negatively covaried with bilateral parietal, precuneus, and anterior cingulate metabolism; visual hallucinations (VH) with bilateral dorsolateral–frontal cortex, posterior cingulate, and parietal metabolism; and rapid eye movement sleep behavior disorder (RBD) with bilateral parieto-occipital cortex, precuneus, and ventrolateral–frontal metabolism. VH and RBD shared a positive covariance with metabolism in the medial temporal lobe, cerebellum, brainstem, basal ganglia, thalami, and orbitofrontal and sensorimotor cortex. Cognitive fluctuations negatively covaried with occipital metabolism and positively with parietal lobe metabolism. MMSE positively covaried with metabolism in the left superior frontal gyrus, bilateral–parietal cortex, and left precuneus, and negatively with metabolism in the insula, medial frontal gyrus, hippocampus in the left hemisphere, and right cerebellum. Interpretation: Regions of more preserved metabolism are relatively consistent across the variegate DLB spectrum. By contrast, core features were associated with more prominent hypometabolism in specific regions, thus suggesting a close clinical–imaging correlation, reflecting the interplay between topography of neurodegeneration and clinical presentation in DLB patients. Ann Neurol 2019;85:715–725.

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