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Huang W, Fang X, Li S, Mao R, Ye C, Liu W, Deng Y, Lin G. Abnormal characteristic static and dynamic functional network connectivity in idiopathic normal pressure hydrocephalus. CNS Neurosci Ther 2024; 30:e14178. [PMID: 36949617 PMCID: PMC10915979 DOI: 10.1111/cns.14178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/24/2023] Open
Abstract
AIMS Idiopathic Normal pressure hydrocephalus (iNPH) is a neurodegenerative disease characterized by gait disturbance, dementia, and urinary dysfunction. The neural network mechanisms underlying this phenomenon is currently unknown. METHODS To investigate the resting-state functional connectivity (rs-FC) abnormalities of iNPH-related brain connectivity from static and dynamic perspectives and the correlation of these abnormalities with clinical symptoms before and 3-month after shunt. We investigated both static and dynamic functional network connectivity (sFNC and dFNC, respectively) in 33 iNPH patients and 23 healthy controls (HCs). RESULTS The sFNC and dFNC of networks were generally decreased in iNPH patients. The reduction in sFNC within the default mode network (DMN) and between the somatomotor network (SMN) and visual network (VN) were related to symptoms. The temporal properties of dFNC and its temporal variability in state-4 were sensitive to the identification of iNPH and were correlated with symptoms. The temporal variability in the dorsal attention network (DAN) increased, and the average instantaneous FC was altered among networks in iNPH. These features were partially associated with clinical symptoms. CONCLUSION The dFNC may be a more sensitive biomarker for altered network function in iNPH, providing us with extra information on the mechanisms of iNPH.
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Affiliation(s)
- Wenjun Huang
- Department of RadiologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Xuhao Fang
- Department of NeurosurgeryHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Shihong Li
- Department of RadiologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Renling Mao
- Department of NeurosurgeryHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Chuntao Ye
- Department of RadiologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Wei Liu
- Department of RadiologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Yao Deng
- Department of NeurosurgeryHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
| | - Guangwu Lin
- Department of RadiologyHuadong Hospital Affiliated to Fudan UniversityShanghaiChina
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Ortner M, Lanz K, Goldhardt O, Müller-Sarnowski F, Diehl-Schmid J, Förstl H, Hedderich DM, Yakushev I, Logan CA, Weinberger JP, Simon M, Grimmer T. Elecsys Cerebrospinal Fluid Immunoassays Accurately Detect Alzheimer's Disease Regardless of Concomitant Small Vessel Disease. J Alzheimers Dis 2023:JAD221187. [PMID: 37212102 DOI: 10.3233/jad-221187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
BACKGROUND Differentiating dementia due to small vessel disease (SVD) from dementia due to Alzheimer's disease (AD) with concomitant SVD is challenging in clinical practice. Accurate and early diagnosis of AD is critical to delivering stratified patient care. OBJECTIVE We characterized the results of Elecsys ® cerebrospinal fluid (CSF) immunoassays (Roche Diagnostics International Ltd) in patients with early AD, diagnosed using core clinical criteria, with varying extent of SVD. METHODS Frozen CSF samples (n = 84) were measured using Elecsys β-Amyloid(1-42) (Aβ42), Phospho-Tau (181P) (pTau181), and Total-Tau (tTau) CSF immunoassays, adapted for use on the cobas ® e 411 analyzer (Roche Diagnostics International Ltd), and a robust prototype β-Amyloid(1-40) (Aβ40) CSF immunoassay. SVD was assessed by extent of white matter hyperintensities (WMH) using the lesion segmentation tool. Interrelations between WMH, biomarkers, fluorodeoxyglucose F18-positron emission tomography (FDG-PET), and other parameters (including age and Mini-Mental State examinations [MMSE]) were assessed using Spearman's correlation, sensitivity/specificity, and logistic/linear regression analyses. RESULTS The extent of WMH showed significant correlation with Aβ42/Aβ40 ratio (Rho=-0.250; p = 0.040), tTau (Rho = 0.292; p = 0.016), tTau/Aβ42 ratio (Rho = 0.247; p = 0.042), age (Rho = 0.373; p = 0.002), and MMSE (Rho=-0.410; p = 0.001). Sensitivity/specificity point estimates for Elecsys CSF immunoassays versus FDG-PET positivity for underlying AD pathophysiology were mostly comparable or greater in patients with high versus low WMH. WMH were not a significant predictor and did not interact with CSF biomarker positivity but modified the association between pTau181 and tTau. CONCLUSION Elecsys CSF immunoassays detect AD pathophysiology regardless of concomitant SVD and may help to identify patients with early dementia with underlying AD pathophysiology.
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Affiliation(s)
- Marion Ortner
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Korbinian Lanz
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Oliver Goldhardt
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Felix Müller-Sarnowski
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Janine Diehl-Schmid
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Hans Förstl
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Dennis M Hedderich
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - Igor Yakushev
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | | | | | - Maryline Simon
- Roche Diagnostics International Ltd, Rotkreuz, Switzerland
| | - Timo Grimmer
- Department of Psychiatry and Psychotherapy, Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
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Rostgaard N, Olsen MH, Ottenheijm M, Drici L, Simonsen AH, Plomgaard P, Gredal H, Poulsen HH, Zetterberg H, Blennow K, Hasselbalch SG, MacAulay N, Juhler M. Differential proteomic profile of lumbar and ventricular cerebrospinal fluid. Fluids Barriers CNS 2023; 20:6. [PMID: 36670437 PMCID: PMC9863210 DOI: 10.1186/s12987-022-00405-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/29/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Pathological cerebral conditions may manifest in altered composition of the cerebrospinal fluid (CSF). Although diagnostic CSF analysis seeks to establish pathological disturbances in the brain proper, CSF is generally sampled from the lumbar compartment for reasons of technical ease and ethical considerations. We here aimed to compare the molecular composition of CSF obtained from the ventricular versus the lumbar CSF compartments to establish a relevance for employing lumbar CSF as a proxy for the CSF bathing the brain tissue. METHODS CSF was collected from 46 patients with idiopathic normal pressure hydrocephalus (iNPH) patients during their diagnostic workup (lumbar samples) and in connection with their subsequent CSF diversion shunt surgery (ventricular samples). The mass-spectrometry-based proteomic profile was determined in these samples and in addition, selected biomarkers were quantified with ELISA (S100B, neurofilament light (NfL), amyloid-β (Aβ40, Aβ42), and total tau (T-tau) and phosphorylated tau (P-tau) forms). The latter analysis was extended to include paired porcine samples obtained from the lumbar compartment and the cerebromedullary cistern closely related to the ventricles. RESULTS In total 1231 proteins were detected in the human CSF. Of these, 216 distributed equally in the two CSF compartments, whereas 22 were preferentially (or solely) present in the ventricular CSF and four in the lumbar CSF. The selected biomarkers of neurodegeneration and Alzheimer's disease displayed differential distribution, some with higher (S100B, T-tau, and P-tau) and some with lower (NfL, Aβ40, Aβ42) levels in the ventricular compartment. In the porcine samples, all biomarkers were most abundant in the lumbar CSF. CONCLUSIONS The overall proteomic profile differs between the ventricular and the lumbar CSF compartments, and so does the distribution of clinically employed biomarkers. However, for a range of CSF proteins and biomarkers, one can reliably employ lumbar CSF as a proxy for ventricular CSF if or a lumbar/cranial index for the particular molecule has been established. It is therefore important to verify the compartmental preference of the proteins or biomarkers of interest prior to extrapolating from lumbar CSF to that of the ventricular fluid bordering the brain.
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Affiliation(s)
- Nina Rostgaard
- grid.475435.4Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Markus Harboe Olsen
- grid.475435.4Department of Neuroanaesthesiology, The Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Maud Ottenheijm
- grid.5254.60000 0001 0674 042XNNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark ,grid.475435.4Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Lylia Drici
- grid.5254.60000 0001 0674 042XNNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark ,grid.475435.4Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Anja Hviid Simonsen
- grid.475435.4Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Peter Plomgaard
- grid.475435.4Department of Clinical Biochemistry, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Hanne Gredal
- grid.5254.60000 0001 0674 042XDepartment of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helle Harding Poulsen
- grid.5254.60000 0001 0674 042XDepartment of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henrik Zetterberg
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Gothenburg, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Gothenburg, Sweden ,grid.83440.3b0000000121901201Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK ,grid.83440.3b0000000121901201UK Dementia Research Institute at UCL, London, UK ,grid.24515.370000 0004 1937 1450Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Kaj Blennow
- grid.8761.80000 0000 9919 9582Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Gothenburg, Sweden ,grid.1649.a000000009445082XClinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Gothenburg, Sweden
| | - Steen Gregers Hasselbalch
- grid.475435.4Danish Dementia Research Centre, Department of Neurology, Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nanna MacAulay
- grid.5254.60000 0001 0674 042XDepartment of Neuroscience, University of Copenhagen, Copenhagen, Denmark
| | - Marianne Juhler
- grid.475435.4Department of Neurosurgery, The Neuroscience Centre, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Lilja-Lund O, Maripuu M, Kockum K, Andersson J, Lindam A, Nyberg L, Laurell K. Longitudinal neuropsychological trajectories in idiopathic normal pressure hydrocephalus: a population-based study. BMC Geriatr 2023; 23:29. [PMID: 36647004 PMCID: PMC9843855 DOI: 10.1186/s12877-023-03747-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 01/11/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Idiopathic normal pressure hydrocephalus (iNPH) is a progressive syndrome affecting gait, incontinence, and cognition in a significant number of older adults. Still, prospective studies on early development of symptoms are scarce. AIM To investigate how neuropsychological functions develop before and in already diagnosed iNPH over a two-year period in a population-based material. METHOD A sample of 104 participants (median [IQR] 75 [72-80] years old) from the general population underwent CT-imaging and clinical assessment at baseline and follow-up. We used the iNPH symptom scale covering four domains (Neuropsychology, Gait, Balance, Incontinence) and additional tests of executive functions. Morphological signs were rated with the iNPH Radscale. Non-parametric statistics with Bonferroni corrections and a significance-level of p < 0.05 were used. RESULTS Median (IQR) time to follow-up was 25 (23-26) months. Effect size (ES) for individuals who developed iNPH (n = 8) showed a large (ES r = -0.55) decline in the Gait domain and on the Radscale (ES r = -0.60), with a medium deterioration in declarative memory (ES r = -0.37). Those having iNPH at baseline (n = 12) performed worse on one executive sub-function i.e., shifting (p = 0.045). CONCLUSION Besides deterioration in gait and radiology, our results suggest that a neuropsychological trajectory for those developing iNPH includes a reduction in declarative memory. Executive dysfunction was limited to those already having iNPH at baseline. These findings could suggest that memory impairments are included in the early development of iNPH.
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Affiliation(s)
- Otto Lilja-Lund
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Neuroscience, Umeå University, Umeå, Sweden
| | - Martin Maripuu
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden
| | - Karin Kockum
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Neuroscience, Umeå University, Umeå, Sweden
| | - Johanna Andersson
- grid.12650.300000 0001 1034 3451Department of Clinical Sciences, Neuroscience, Umeå University, Umeå, Sweden
| | - Anna Lindam
- grid.12650.300000 0001 1034 3451Department of Public Health and Clinical Medicine, Unit of Research, Education and Development Östersund Hospital, Umeå University, Umeå, Sweden
| | - Lars Nyberg
- grid.12650.300000 0001 1034 3451Department of Radiation Sciences, Radiology, Umeå University, Umeå, Sweden ,grid.12650.300000 0001 1034 3451Department of Integrative Medical Biology, Umeå University, Umeå, Sweden ,grid.12650.300000 0001 1034 3451Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden ,grid.5510.10000 0004 1936 8921Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Katarina Laurell
- grid.8993.b0000 0004 1936 9457Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
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Griffa A, Bommarito G, Assal F, Preti MG, Goldstein R, Armand S, Herrmann FR, Van De Ville D, Allali G. CSF tap test in idiopathic normal pressure hydrocephalus: still a necessary prognostic test? J Neurol 2022; 269:5114-5126. [PMID: 35598251 PMCID: PMC9363476 DOI: 10.1007/s00415-022-11168-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 04/29/2022] [Accepted: 05/01/2022] [Indexed: 12/05/2022]
Abstract
Objective To assess whether gait, neuropsychological, and multimodal MRI parameters predict short-term symptom reversal after cerebrospinal fluid (CSF) tap test in idiopathic normal pressure hydrocephalus (iNPH). Methods Thirty patients (79.3 ± 5.9 years, 12 women) with a diagnosis of probable iNPH and 46 healthy controls (74.7 ± 5.4 years, 35 women) underwent comprehensive neuropsychological, quantitative gait, and multimodal MRI assessments of brain morphology, periventricular white-matter microstructure, cortical and subcortical blood perfusion, default mode network function, and white-matter lesion load. Responders were defined as an improvement of at least 10% in walking speed or timed up and go test 24 h after tap test. Univariate and multivariable tap test outcome prediction models were evaluated with logistic regression and linear support vector machine classification. Results Sixteen patients (53%) respondedpositively to tap test. None of the gait, neuropsychological, or neuroimaging parameters considered separately predicted outcome. A multivariable classifier achieved modest out-of-sample outcome prediction accuracy of 70% (p = .028); gait parameters, white-matter lesion load and periventricular microstructure were the main contributors. Conclusions Our negative findings show that short-term symptom reversal after tap test cannot be predicted from single gait, neuropsychological, or MRI parameters, thus supporting the use of tap test as prognostic procedure. However, multivariable approaches integrating non-invasive multimodal data are informative of outcome and may be included in patient-screening procedures. Their value in predicting shunting outcome should be further explored, particularly in relation to gait and white-matter parameters. Supplementary Information The online version contains supplementary material available at 10.1007/s00415-022-11168-x.
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Huang W, Fang X, Li S, Mao R, Ye C, Liu W, Lin G. Preliminary Exploration of the Sequence of Nerve Fiber Bundles Involvement for Idiopathic Normal Pressure Hydrocephalus: A Correlation Analysis Using Diffusion Tensor Imaging. Front Neurosci 2022; 15:794046. [PMID: 34975390 PMCID: PMC8718542 DOI: 10.3389/fnins.2021.794046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/24/2021] [Indexed: 12/21/2022] Open
Abstract
The study preliminarily explored the sequence and difference of involvement in different neuroanatomical structures in idiopathic normal pressure hydrocephalus (INPH). We retrospectively analyzed the differences in diffusion tensor imaging (DTI) parameters in 15 ROIs [including the bilateral centrum semiovale (CS), corpus callosum (CC) (body, genu, and splenium), head of the caudate nucleus (CN), internal capsule (IC) (anterior and posterior limb), thalamus (TH), and the bilateral frontal horn white matter hyperintensity (FHWMH)] between 27 INPH patients and 11 healthy controls and the correlation between DTI indices and clinical symptoms, as evaluated by the INPH grading scale (INPHGS), the Mini-Mental State Examination (MMSE), and the timed up and go test (TUG-t), before and 1 month after shunt surgery. Significant differences were observed in DTI parameters from the CS (pFA1 = 0.004, pADC1 = 0.005) and the genu (pFA2 = 0.022; pADC2 = 0.001) and body (pFA3 = 0.003; pADC3 = 0.002) of the CC between the groups. The DTI parameters from the CS were strongly correlated with the MMSE score both pre-operatively and post-operatively. There was association between apparent diffusion coefficient (ADC) values of anterior and posterior limbs of the IC and MMSE. The DTI parameters of the head of the CN were correlated with motion, and the ADC value was significantly associated with the MMSE score. The FA value from TH correlated with an improvement in urination after shunt surgery. We considered that different neuroanatomical structures are affected differently by disease due to their positions in neural pathways and characteristics, which is further reflected in clinical symptoms and the prognosis of shunt surgery.
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Affiliation(s)
- Wenjun Huang
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Xuhao Fang
- Department of Neurosurgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Shihong Li
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Renling Mao
- Department of Neurosurgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Chuntao Ye
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Wei Liu
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Guangwu Lin
- Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China
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Tsantzali I, Boufidou F, Sideri E, Mavromatos A, Papaioannou MG, Foska A, Tollos I, Paraskevas SG, Bonakis A, Voumvourakis KI, Tsivgoulis G, Kapaki E, Paraskevas GP. From Cerebrospinal Fluid Neurochemistry to Clinical Diagnosis of Alzheimer's Disease in the Era of Anti-Amyloid Treatments. Report of Four Patients. Biomedicines 2021; 9:biomedicines9101376. [PMID: 34680493 PMCID: PMC8533180 DOI: 10.3390/biomedicines9101376] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/26/2021] [Accepted: 09/30/2021] [Indexed: 12/26/2022] Open
Abstract
Analysis of classical cerebrospinal fluid biomarkers, especially when incorporated in a classification/diagnostic system such as the AT(N), may offer a significant diagnostic tool allowing correct identification of Alzheimer’s disease during life. We describe four patients with more or less atypical or mixed clinical presentation, in which the classical cerebrospinal fluid biomarkers amyloid peptide with 42 and 40 amino acids (Aβ42 and Aβ40, respectively), phospho-tau (τP-181) and total tau (τΤ) were measured. Despite the unusual clinical presentation, the biomarker profile was compatible with Alzheimer’s disease in all four patients. The measurement of classical biomarkers in the cerebrospinal fluid may be a useful tool in identifying the biochemical fingerprints of Alzheimer’s disease, especially currently, due to the recent approval of the first disease-modifying treatment, allowing not only typical but also atypical cases to be enrolled in trials of such treatments.
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Affiliation(s)
- Ioanna Tsantzali
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Fotini Boufidou
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Eleni Sideri
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Antonis Mavromatos
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Myrto G. Papaioannou
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Aikaterini Foska
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Ioannis Tollos
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Sotirios G. Paraskevas
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - Anastasios Bonakis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Konstantinos I. Voumvourakis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Georgios Tsivgoulis
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
| | - Elisabeth Kapaki
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
| | - George P. Paraskevas
- 2nd Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Attikon” General University Hospital, 12462 Athens, Greece; (I.T.); (E.S.); (A.M.); (A.F.); (I.T.); (A.B.); (K.I.V.); (G.T.)
- Neurochemistry and Biological Markers Unit, 1st Department of Neurology, School of Medicine, National and Kapodistrian University of Athens, “Eginition” Hospital, 11528 Athens, Greece; (F.B.); (M.G.P.); (S.G.P.); (E.K.)
- Correspondence: ; Tel.: +30-2105832466
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