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1.

001-es BibID:BIBFORM103565
035-os BibID:(Scopus)85137531133 (WoS)000849139400001
Első szerző:Aranyi Sándor Csaba (programtervező informatikus)
Cím:Topological dissimilarities of hierarchical resting networks in type 2 diabetes mellitus and obesity / Aranyi Sándor Csaba, Képes Zita, Nagy Marianna, Opposits Gábor, Garai Ildikó, Káplár Miklós, Emri Miklós
Dátum:2023
ISSN:0929-5313
Megjegyzések:Type 2 diabetes mellitus (T2DM) is reported to cause widespread changes in brain function, leading to cognitive impairments. Research using resting-state functional magnetic resonance imaging data already aims to understand functional changes in complex brain connectivity systems. However, no previous studies with dynamic causal modelling (DCM) tried to investigate large-scale effective connectivity in diabetes. We aimed to examine the differences in large-scale resting state networks in diabetic and obese patients using combined DCM and graph theory methodologies. With the participation of 70 subjects (43 diabetics, 27 obese), we used cross-spectra DCM to estimate connectivity between 36 regions, subdivided into seven resting networks (RSN) commonly recognized in the literature. We assessed group-wise connectivity of T2DM and obesity, as well as group differences, with parametric empirical Bayes and Bayesian model reduction techniques. We analyzed network connectivity globally, between RSNs, and regionally. We found that average connection strength was higher in T2DM globally and between RSNs, as well. On the network level, the salience network shows stronger total within-network connectivity in diabetes (8.07) than in the obese group (4.02). Regionally, we measured the most significant average decrease in the right middle temporal gyrus (-0.013 Hz) and the right inferior parietal lobule (-0.01 Hz) relative to the obese group. In comparison, connectivity increased most notably in the left anterior prefrontal cortex (0.01 Hz) and the medial dorsal thalamus (0.009 Hz). In conclusion, we find the usage of complex analysis of large-scale networks suitable for diabetes instead of focusing on specific changes in brain function.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Type 2 diabetes mellitus
Obesity
Effective connectivity
Dynamic causal modelling
Graph theory
Megjelenés:Journal Of Computational Neuroscience. - 51 : 1 (2023), p. 71-86. -
További szerzők:Képes Zita (1991-) (orvos) Nagy Marianna (1987-) (orvosdiagnosztikai képalkotó) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Garai Ildikó (1966-) (radiológus) Káplár Miklós (1965-) (belgyógyász, diabetológus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:2017-1.2.1-NKP-2017-00002
Egyéb
TKP2021-NKTA-34
Egyéb
GINOP-2.1.1-15-2015-00609
GINOP
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2.

001-es BibID:BIBFORM096526
Első szerző:Aranyi Sándor Csaba (programtervező informatikus)
Cím:Dynamic Causal Modeling Evaluation of Multidimensional Model Space Using High Performance Computing / Aranyi Sándor Csaba, Opposits Gábor, Nagy Marianna, Berényi Ervin, Emri Miklós
Dátum:2016
Tárgyszavak:Orvostudományok Elméleti orvostudományok előadáskivonat
könyvrészlet
orvosi képalkotás
neuroimaging
idegtudományok
agyi konnektivitás
Megjelenés:ESMRMB 33th Annual Scientific Meeting Abstract Book / ed. Cozzone, Patrick J.. - p. 99
További szerzők:Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Nagy Marianna (1987-) (orvosdiagnosztikai képalkotó) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
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3.

001-es BibID:BIBFORM096525
Első szerző:Aranyi Sándor Csaba (programtervező informatikus)
Cím:Interface development for supporting curve based DCM / Aranyi Sándor Csaba, Kis Sándor Attila, Opposits Gábor, Berényi Ervin, Emri Miklós
Dátum:2015
Megjegyzések:Background and goals EEG and fMRI based Dynamic Causal Modeling is an increasingly used effective connectivity method which is useful to estimate the neural connection strengths of a known brain network model. However, in the cases when the model is not known the finding the best one is computationally demanding because of the exponentially increasing combination of possible connections. Our first aim was to extend the functionality of DCM12 toolbox by an BOLD-curve importing feature which enables the usage of post-processed or simulated fMRI data. Secondly, using this extension we started to develop a modelspace shrinking algorithm which could help to find the best connection model of the investigated network. Methods The evaluated software creates DCM-compatible structures from fMRI and VOI image-files or from CSV- files containing BOLD-signals. The first option was used in the validation procedure in which we compared the results of image and curve based DCM analyses of the DMN of a population of 12 healthy subjects. The CSV-input was used for calculating the connection strength from simulated BOLD-signals by MULAN toolbox. Results and Further plans The image and curve based DCM analyses resulted the same connection strengths verifying the usability of our software. The simulated BOLD-signal based analysis did not evaluate adequate results, hence further investigation is required to solve this problem. Expanding the DCM for reading stimulated curves enables the development of a model-space shrinking algorithm, furthermore it empowers the use the outputs of real neural state simulators such as the Virtual Brain.
Tárgyszavak:Orvostudományok Elméleti orvostudományok előadáskivonat
könyvrészlet
orvosi képalkotás
neuroimaging
idegtudományok
Megjelenés:Neuroimaging Workshop : Abstract Book. - p. 1
További szerzők:Kis Sándor Attila (1973-) (fizikus) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
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4.

001-es BibID:BIBFORM095112
Első szerző:Aranyi Sándor Csaba (programtervező informatikus)
Cím:Characterizing Network Search Algorithms Developed for Dynamic Causal Modeling / Sándor Csaba Aranyi, Marianna Nagy, Gábor Opposits, Ervin Berényi, Miklós Emri
Dátum:2021
ISSN:1662-5196
Megjegyzések:Dynamic causal modeling (DCM) is a widely used tool to estimate the effective connectivity of specified models of a brain network. Finding the model explaining measured data is one of the most important outstanding problems in Bayesian modeling. Using heuristic model search algorithms enables us to find an optimal model without having to define a model set a priori. However, the development of such methods is cumbersome in the case of large model-spaces. We aimed to utilize commonly used graph theoretical search algorithms for DCM to create a framework for characterizing them, and to investigate relevance of such methods for single-subject and group-level studies. Because of the enormous computational demand of DCM calculations, we separated the model estimation procedure from the search algorithm by providing a database containing the parameters of all models in a full model-space. For test data a publicly available fMRI dataset of 60 subjects was used. First, we reimplemented the deterministic bilinear DCM algorithm in the ReDCM R package, increasing computational speed during model estimation. Then, three network search algorithms have been adapted for DCM, and we demonstrated how modifications to these methods, based on DCM posterior parameter estimates, can enhance search performance. Comparison of the results are based on model evidence, structural similarities and the number of model estimations needed during search. An analytical approach using Bayesian model reduction (BMR) for efficient network discovery is already available for DCM. Comparing model search methods we found that topological algorithms often outperform analytical methods for single-subject analysis and achieve similar results for recovering common network properties of the winning model family, or set of models, obtained by multi-subject family-wise analysis. However, network search methods show their limitations in higher level statistical analysis of parametric empirical Bayes. Optimizing such linear modeling schemes the BMR methods are still considered the recommended approach. We envision the freely available database of estimated model-spaces to help further studies of the DCM model-space, and the ReDCM package to be a useful contribution for Bayesian inference within and beyond the field of neuroscience.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
fMRI
dynamic causal modeling
search algorithm
network topology
model-space
Megjelenés:Frontiers in Neuroinformatics. - 15 (2021), p. 1-14. -
További szerzők:Nagy Marianna (1987-) (orvosdiagnosztikai képalkotó) Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Berényi Ervin (1964-) (radiológus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:2020-4.1.1-TKP2020
Egyéb
2017-1.2.1-NKP-2017-00002
Egyéb
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Intézményi repozitóriumban (DEA) tárolt változat
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5.

001-es BibID:BIBFORM066041
Első szerző:Aranyi Sándor Csaba (programtervező informatikus)
Cím:Population-level Correction of Systematic Motion Artifacts in fMRI in Patients with Ischemic Stroke / Csaba Aranyi, Gábor Opposits, Marianna Nagy, Ervin Berényi, Csilla Vér, László Csiba, Péter Katona, Tamás Spisák, Miklós Emri
Dátum:2017
ISSN:1051-2284
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
motion correction
fMRI
Megjelenés:Journal of Neuroimaging. - 27 : 4 (2017), p. 397-408. -
További szerzők:Opposits Gábor (1974-) (fizikus, szoftver fejlesztő) Nagy Marianna (1987-) (orvosdiagnosztikai képalkotó) Berényi Ervin (1964-) (radiológus) Vér Csilla (1985-) (neurológus) Csiba László (1952-) (neurológus, pszichiáter) Katona Péter Spisák Tamás (1986-) (programtervező matematikus, informatikus) Emri Miklós (1962-) (fizikus)
Pályázati támogatás:KTIA_13_NAP-A-II/3
Egyéb
OTKA 109712
Egyéb
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6.

001-es BibID:BIBFORM100385
035-os BibID:(cikkazonosító)1235
Első szerző:Béres András
Cím:Healing through faith : meeting a chaplain coupled with biblical readings could produce lymphocyte changes that correlate with brain activity (HEALING study) / Béres András, Emri Miklós, Aranyi Csaba, Fajtai Dániel, Nagy Ferenc, Szabó Péter, Bödecs Pál, Hörcsik Edit, Perpékné Papp Éva, Tomanek Ferenc, Kuti Márta, Petőfalviné Ágnes, Kisdeákné Hajnalka, Bíró Gergely, Kovács Dániel, Bakos Bettina, Vinczen Eszter, Gál Eszter, Sillinger Renáta, Szalai Zoltán, Szilágyi Antal, Kiss-Merki Marianna, Nagyéri György, Fodor Judit, Németh Tamás, Papp Erzsébet, Repa Imre
Dátum:2021
ISSN:2046-1402
Megjegyzések:Introduction: Faith and systems of beliefs are known to impact not only the emotional, but also the immunological state of believers in ways that we are just starting to understand. Moreover, clinical implications of previous studies are limited. The aim of the "HEALING" (Hospital-based Ecumenical and Linguistic Immuno-NeuroloGic) Study was to examine immunological and neurological changes in hospitalized patients after meeting a chaplain coupled with biblical readings. Methods: Hospitalized patients were pre-screened to find those who were the most in need of an intervention. A passage from the Bible was read to them during a meeting with the chaplain at the bedside (n= 20) or in the chapel (n= 18). No meeting occurred in the randomized control group (n=19). Blood samples were taken 30 minutes prior, and 60 minutes after the meeting to measure white blood cells (WBC), interferon gamma (IFN-?), immunoglobulin M (IgM), IgA, IgG, and complement 3 (C3). A subgroup of the visited patients was subjected to functional magnetic resonance imaging (fMRI), where they were played an audiotape of readings of the same passage from the Bible (n=21). Results: Lymphocyte counts increased more often after the more successful visits, but the immunological changes were not significant. Conversely, a significant (p fwe =0.003) correlation was revealed between changes in lymphocytes and activation of the angular gyrus (left BA39) during fMRI, a brain area involved in word recognition. Conclusions: Although limited by the sample size and cohort study design, the findings suggest the depth of psycho-immunological changes could depend on the degree to which the chaplains' main message is understood.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
hit
pszichoneuroimmunológia
ápolás
teológia
fMRI
Megjelenés:F1000Research. - 10 (2021), p. 1-20. -
További szerzők:Emri Miklós (1962-) (fizikus) Aranyi Sándor Csaba (1988-) (programtervező informatikus) Fajtai Dániel Nagy Ferenc (neurológus Kaposvár) Szabó Péter Bödecs Pál Hörcsik Edit Perpékné Papp Éva Tomanek Ferenc Kuti Márta Petőfalviné Ágnes Kisdeákné Hajnalka Biró Gergely Kovács Dániel Bakos Bettina Vinczen Eszter Gál Eszter Sillinger Renáta Szalai Zoltán Szilágyi Antal Kiss-Merki Marianna Nagyéri György Fodor Judit Németh Tamás Papp Erzsébet Repa Imre (1950-) (radiológus)
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7.

001-es BibID:BIBFORM095787
Első szerző:Clemens Béla (neurológus)
Cím:Resting-state EEG theta activity reflects degree of genetic determination of the major epilepsy syndromes / Béla Clemens, Miklós Emri, Sándor Csaba Aranyi, István Fekete, Klára Fekete
Dátum:2021
ISSN:1388-2457
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
etiology of epilepsy
family history of epilepsy
EEG theta activity
Megjelenés:Clinical Neurophysiology. - 132 : 9 (2021), p. 2232-2239. -
További szerzők:Emri Miklós (1962-) (fizikus) Aranyi Sándor Csaba (1988-) (programtervező informatikus) Fekete István (1951-) (neurológus, pszichiáter) Fekete Klára (1978-) (neurológus)
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Intézményi repozitóriumban (DEA) tárolt változat
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8.

001-es BibID:BIBFORM100001
035-os BibID:(cikkazonosító)739 (Scopus)85123104849 (WOS)000742753500034
Első szerző:Gecse Kinga
Cím:Association of plasma tryptophan concentration with periaqueductal gray matter functional connectivity in migraine patients / Gecse Kinga, Dobos Dóra, Aranyi Csaba Sándor, Galambos Attila, Baksa Daniel, Kocsel Natália, Szabó Edina, Pap Dorottya, Virág Dávid, Ludányi Krisztina, Kökönyei Gyöngyi, Emri Miklós, Bagdy Gyorgy, Juhasz Gabriella
Dátum:2022
ISSN:2045-2322
Megjegyzések:Altered periaqueductal gray matter (PAG) functional connectivity contributes to brain hyperexcitability in migraine. Although tryptophan modulates neurotransmission in PAG projections through its metabolic pathways, the effect of plasma tryptophan on PAG functional connectivity (PAG-FC) in migraine has not been investigated yet. In this study, using a matched case-control design PAG-FC was measured during a resting-state functional magnetic resonance imaging session in migraine without aura patients (n = 27) and healthy controls (n = 27), and its relationship with plasma tryptophan concentration (TRP) was assessed. In addition, correlations of PAG-FC with age at migraine onset, migraine frequency, trait-anxiety and depressive symptoms were tested and the effect of TRP on these correlations was explored. Our results demonstrated that migraineurs had higher TRP compared to controls. In addition, altered PAG-FC in regions responsible for fear-cascade and pain modulation correlated with TRP only in migraineurs. There was no significant correlation in controls. It suggests increased sensitivity to TRP in migraine patients compared to controls. Trait-anxiety and depressive symptoms correlated with PAG-FC in migraine patients, and these correlations were modulated by TRP in regions responsible for emotional aspects of pain processing, but TRP did not interfere with processes that contribute to migraine attack generation or attack frequency.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
migrén
funkcionális konnektivitás
Megjelenés:Scientific Reports. - 12 : 1 (2022), p. 1-12. -
További szerzők:Dobos Dóra Aranyi Sándor Csaba (1988-) (programtervező informatikus) Galambos Attila Baksa Dániel Kocsel Natália Szabó Edina Pap Dorottya Virág Dávid Ludányi Krisztina (1976-) (gyógyszerész) Kökönyei Gyöngyi Emri Miklós (1962-) (fizikus) Bagdy György Juhász Gabriella
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Intézményi repozitóriumban (DEA) tárolt változat
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9.

001-es BibID:BIBFORM098972
035-os BibID:(cikkazonosító)767162
Első szerző:Gecse Kinga
Cím:Sex Differences of Periaqueductal Grey Matter Functional Connectivity in Migraine / Gecse Kinga, Baksa Daniel, Dobos Dóra, Aranyi Csaba Sandor, Galambos Attila, Kocsel Natália, Szabó Edina, Kökönyei Gyöngyi, Emri Miklós, Bagdy Gyorgy, Juhasz Gabriella
Dátum:2021
ISSN:2673-561X
Megjegyzések:The existence of "sex phenotype" in migraine is a long-standing scientific question. Fluctuations of female sex hormones contribute to migraine attacks, and women also have enhanced brain activity during emotional processing and their functional brain networks seem to be more vulnerable to migraine-induced disruption compared to men. Periaqueductal grey matter (PAG) is a core region of pain processing and modulation networks with possible sex-related implications in migraine. In our study, sex differences of PAG functional resting-state connectivity were investigated in the interictal state in 32 episodic migraines without aura patients (16 women and 16 men). A significant main effect of sex was detected in PAG connectivity with postcentral, precentral, and inferior parietal gyri, and further differences were found between right PAG and visual areas (superior occipital gyrus, calcarine, and cuneus), supplementary motor area, and mid-cingulum connectivity. In all cases, PAG functional connectivity was stronger in female migraineurs compared to males. However, higher average pain intensity of migraine attacks correlated with stronger connectivity of PAG and middle temporal, superior occipital, and parietal gyri in male migraineurs compared to females. igrainerelated disability is also associated with PAG connectivity but without sex differences. Our results indicate that sex differences in PAG connectivity with brain regions involved in sensory and emotional aspects of pain might contribute to the "sex-phenotype" in migraine. The stronger functional connectivity between PAG and pain processing areas may be a sign of increased excitability of pain pathways even in resting-state in females compared to male migraineurs, which could contribute to female vulnerability for migraine. However, pain intensity experienced by male migraineurs correlated with increased connectivity between PAG and regions involved in the subjective experience of pain and pain-related unpleasantness. The demonstrated sex differences of PAG functional connectivitymay support the notion that the female andmale brain is differently affected by migraine.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
headache
periaqueductal gray
pain intensity
disability
Megjelenés:Frontiers in Pain Research. - 2 (2021), p. 1-9. -
További szerzők:Baksa Dániel Dobos Dóra Aranyi Sándor Csaba (1988-) (programtervező informatikus) Galambos Attila Kocsel Natália Szabó Edina Kökönyei Gyöngyi Emri Miklós (1962-) (fizikus) Bagdy György Juhász Gabriella
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Intézményi repozitóriumban (DEA) tárolt változat
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10.

001-es BibID:BIBFORM099030
035-os BibID:(Scopus)85122905153 (WOS)000754954100007
Első szerző:Képes Zita (orvos)
Cím:Homocysteine-related alterations of [18F]FDG brain pattern in metabolic diseases / Zita Képes, Csaba Aranyi, Attila Forgács, Ferenc Nagy, Kornél Kukuts, Regina Esze, Sándor Somodi, Miklós Káplár, József Varga, Miklós Emri, Ildikó Garai
Dátum:2021
ISSN:1790-5427
Megjegyzések:Since hyperhomocysteinaemia (HHcys) is implicated as a risk factor for the development of neurodegeneration, and is associated with the development of metabolic diseases, we aimed at analysing the effect of homocysteine (Hcys) on regional fluorine-18-fluorodeoxyglucose (18F-FDG) brain metabolism in 51 controlled type 2 diabetic and in 48 non-DM obese participants. Plasma Hcys levels were measured by an immunoassay. Homocysteine-related 18F-FDG regional brain metabolism was evaluated applying 18F-FDG PET/CT using magnetic resonance imaging (MRI)-based brain template for Statistical Parametric Mapping (SPM) analysis. Homocysteine-related decreased 18F-FDG uptake was shown in the right middle temporal gyrus in the whole population. Diabetics with Hcys above the reference limit expressed decreased glucose metabolism in the left calcarine cortex compared to the obese with HHcys. Regional metabolic alterations evoked on the basis of HHcys draw attention to the potential risk of neurodegeneration caused by metabolic disturbances.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Diabetes
Obesity
(18)-F-FDG PET/CT
Homocysteine
Neurodegeneration
Megjelenés:Hellenic Journal of Nuclear Medicine. - 24 : 3 (2021), p. 222-227. -
További szerzők:Aranyi Sándor Csaba (1988-) (programtervező informatikus) Forgács Attila (1985-) (fizikus) Nagy Ferenc (1984-) (fizikus) Kukuts Kornél Esze Regina Somodi Sándor (1977-) (belgyógyász) Káplár Miklós (1965-) (belgyógyász, diabetológus) Varga József (1955-) (fizikus) Emri Miklós (1962-) (fizikus) Garai Ildikó (1966-) (radiológus)
Pályázati támogatás:National Grant No. GINOP-2.1.1-15-2015-00609
GINOP
National Brain Research Program No. 2017-1.2.1-NKP-2017-00002
Egyéb
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
Borító:

11.

001-es BibID:BIBFORM091840
Első szerző:Képes Zita (orvos)
Cím:Examination of brain perfusion and metabolism in metabolic diseases (focusing on diabetes and obesity) / Z. Képes, J. Varga, F. Nagy, K. Kukuts, M. Emri, M. Káplár, Cs. Aranyi, I. Garai
Dátum:2019
Tárgyszavak:Orvostudományok Klinikai orvostudományok nem besorolt
egyéb
További szerzők:Varga József (1955-) (fizikus) Nagy Ferenc (1984-) (fizikus) Kukuts Kornél Emri Miklós (1962-) (fizikus) Káplár Miklós (1965-) (belgyógyász, diabetológus) Aranyi Sándor Csaba (1988-) (programtervező informatikus) Garai Ildikó (1966-) (radiológus)
Pályázati támogatás:GINOP-2.1.1-15-2015-00609
GINOP
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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12.

001-es BibID:BIBFORM091785
035-os BibID:(cikkazonosító)3 (WOS)000672838300001 (Scopus)85100999105
Első szerző:Képes Zita (orvos)
Cím:Glucose-level dependent brain hypometabolism in type 2 diabetes mellitus and obesity / Z. Képes, Cs. Aranyi, A. Forgács, F. Nagy, K. Kukuts, Zs. Hascsi, R. Esze, S. Somodi, M. Káplár, J. Varga, M. Emri, I. Garai
Dátum:2021
Megjegyzések:Glucose-level dependent brain hypometabolism in type 2 diabetes mellitus and obesity Background: Metabolic syndrome and its individual components lead to wide-ranging consequences, many of which affect the central nervous system. In this study, we compared the [18F]FDG regional brain metabolic pattern of participants with type 2 diabetes mellitus (T2DM) and non-DM obese individuals. Methods: In our prospective study 51 patients with controlled T2DM (ages 50.6 ? 8.0 years) and 45 non-DM obese participants (ages 52.0 ? 9.6 years) were enrolled. Glucose levels measured before PET/CT examination (pre-PET glucose) as well as laboratory parameters assessing glucose and lipid status were determined. NeuroQ application (NeuroQTM 3.6, Syntermed, Philips) was used to evaluate regional brain metabolic differences. [18F]FDG PET/CT (AnyScan PC, Mediso) scans, estimating brain metabolism were transformed to MNI152 brain map after T1 registration and used for SPM-based group comparison of brain metabolism corrected for pre-PET glucose, and correlation analysis with laboratory parameters. Results: NeuroQ analysis did not reveal significant regional metabolic defects in either group. Voxel-based group comparison revealed significantly (pFWE<0.05) decreased metabolism in the region of the precuneus and in the right superior frontal gyrus (rSFG) in the diabetic group as compared to the obese patients. Data analysis corrected for pre-PET glucose level showed a hypometabolic difference only in the rSFG in T2DM. Voxel-based correlation analysis showed significant negative correlation of the metabolism in the following brain regions with pre-PET glucose in diabetes: precuneus, left posterior orbital gyrus, right calcarine cortex and right orbital part of inferior frontal gyrus; while in the obese group only the right rolandic (pericentral) operculum proved to be sensitive to pre-PET glucose level. Conclusions: To our knowledge this is the first study to perform pre-PET glucose level corrected comparative analysis of brain metabolism in T2DM and obesity. We also examined the pre-PET glucose level dependency of regional cerebral metabolism in the two groups separately. Large-scale future studies are warranted to perform further correlation analysis with the aim of determining the effects of metabolic disturbances on brain metabolism. Keywords: [18F]FDG, metabolism, brain, type 2 diabetes mellitus, obesity
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
[18F]FDG
metabolism
brain
type 2 diabetes mellitus
obesity
Megjelenés:European Journal of Hybrid Imaging. - 5 : 1 (2021), p. 1-15. -
További szerzők:Aranyi Sándor Csaba (1988-) (programtervező informatikus) Forgács Attila (1985-) (fizikus) Nagy Ferenc (1984-) (fizikus) Kukuts Kornél Hascsi Zsolt Esze Regina Somodi Sándor (1977-) (belgyógyász) Káplár Miklós (1965-) (belgyógyász, diabetológus) Varga József (1955-) (fizikus) Emri Miklós (1962-) (fizikus) Garai Ildikó (1966-) (radiológus)
Pályázati támogatás:GINOP-2.1.1-15-2015-00609
GINOP
National Brain Research Program No. 2017-1.2.1-NKP-2017-00002.
Egyéb
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