Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Vasiliki N. Ikonomidou is active.

Publication


Featured researches published by Vasiliki N. Ikonomidou.


JAMA Neurology | 2010

Relationship of Cortical Atrophy to Fatigue in Patients With Multiple Sclerosis

Clelia Pellicano; Antonio Gallo; Xiaobai Li; Vasiliki N. Ikonomidou; Iordanis E. Evangelou; Joan Ohayon; Susan K. Stern; Mary Ehrmantraut; Fredric K. Cantor; Henry F. McFarland; Francesca Bagnato

BACKGROUND Fatigue is a common and disabling symptom of multiple sclerosis (MS). Previous studies reported that damage of the corticostriatothalamocortical circuit is critical in its occurrence. OBJECTIVE To investigate the relationship between fatigue in MS and regional cortical and subcortical gray matter atrophy. DESIGN Case-control study. SETTING National Institutes of Health. PARTICIPANTS Twenty-four patients with MS and 24 matched healthy volunteers who underwent 3.0-T magnetic resonance imaging and evaluations of fatigue (Modified Fatigue Impact Scale) and depression (Center for Epidemiologic Studies Depression Scale). MAIN OUTCOME MEASURES Relationship between thalamic and basal ganglia volume, cortical thickness of frontal and parietal lobes, and, in patients, T2 lesion volume and normal-appearing white matter volume and the extent of fatigue. RESULTS Patients were more fatigued than healthy volunteers (P = .04), while controlling for the effect of depression. Modified Fatigue Impact Scale score correlated with cortical thickness of the parietal lobe (r = -0.50, P = .01), explaining 25% of its variance. The posterior parietal cortex was the only parietal area significantly associated with the Modified Fatigue Impact Scale scores. CONCLUSIONS Cortical atrophy of the parietal lobe had the strongest relationship with fatigue. Given the implications of the posterior parietal cortex in motor planning and integration of information from different sources, our preliminary results suggest that dysfunctions in higher-order aspects of motor control may have a role in determining fatigue in MS.


NeuroImage | 2008

Mapping resting-state functional connectivity using perfusion MRI

Kai-Hsiang Chuang; Peter van Gelderen; Hellmut Merkle; Jerzy Bodurka; Vasiliki N. Ikonomidou; Alan P. Koretsky; Jeff H. Duyn; S. Lalith Talagala

Resting-state, low-frequency (<0.08 Hz) fluctuations of blood oxygenation level-dependent (BOLD) magnetic resonance signal have been shown to exhibit high correlation among functionally connected regions. However, correlations of cerebral blood flow (CBF) fluctuations during the resting state have not been extensively studied. The main challenges of using arterial spin labeling perfusion magnetic resonance imaging to detect CBF fluctuations are low sensitivity, low temporal resolution, and contamination from BOLD. This work demonstrates CBF-based quantitative functional connectivity mapping by combining continuous arterial spin labeling (CASL) with a neck labeling coil and a multi-channel receiver coil to achieve high perfusion sensitivity. In order to reduce BOLD contamination, the CBF signal was extracted from the CASL signal time course by high frequency filtering. This processing strategy is compatible with sinc interpolation for reducing the timing mismatch between control and label images and has the flexibility of choosing an optimal filter cutoff frequency to minimize BOLD fluctuations. Most subjects studied showed high CBF correlation in bilateral sensorimotor areas with good suppression of BOLD contamination. Root-mean-square CBF fluctuation contributing to bilateral correlation was estimated to be 29+/-19% (N=13) of the baseline perfusion, while BOLD fluctuation was 0.26+/-0.14% of the mean intensity (at 3 T and 12.5 ms echo time).


NeuroImage | 2006

An Adaptive Filter for Suppression of Cardiac and Respiratory Noise in MRI Time-Series Data

Roel H.R. Deckers; Peter van Gelderen; Mario Ries; Olivier Barret; Jeff H. Duyn; Vasiliki N. Ikonomidou; Masaki Fukunaga; Gary H. Glover; Jacco A. de Zwart

The quality of MRI time series data, which allows the study of dynamic processes, is often affected by confounding sources of signal fluctuation, including the cardiac and respiratory cycle. An adaptive filter is described, reducing these signal fluctuations as long as they are repetitive and their timing is known. The filter, applied in image domain, does not require temporal oversampling of the artifact-related fluctuations. Performance is demonstrated for suppression of cardiac and respiratory artifacts in 10-minute brain scans on 6 normal volunteers. Experimental parameters resemble a typical fMRI experiment (17 slices; 1700 ms TR). A second dataset was acquired at a rate well above the Nyquist frequency for both cardiac and respiratory cycle (single slice; 100 ms TR), allowing identification of artifacts specific to the cardiac and respiratory cycles, aiding assessment of filtering performance. Results show significant reduction in temporal standard deviation (SD(t)) in all subjects. For all 6 datasets with 1700 ms TR combined, the filtering method resulted in an average reduction in SD(t) of 9.2% in 2046 voxels substantially affected by respiratory artifacts, and 12.5% for the 864 voxels containing substantial cardiac artifacts. The maximal SD(t) reduction achieved was 52.7% for respiratory and 55.3% for cardiac filtering. Performance was found to be at least equivalent to the previously published RETROICOR method. Furthermore, the interaction between the filter and fMRI activity detection was investigated using Monte Carlo simulations, demonstrating that filtering algorithms introduce a systematic error in the detected BOLD-related signal change if applied sequentially. It is demonstrated that this can be overcome by combining physiological artifact filtering and detection of BOLD-related signal changes simultaneously. Visual fMRI data from 6 volunteers were analyzed with and without the filter proposed here. Inclusion of the cardio-respiratory regressors in the design matrix yielded a 4.6% t-score increase and 4.0% increase in the number of significantly activated voxels.


PLOS ONE | 2013

Impact of Chemotherapy for Childhood Leukemia on Brain Morphology and Function

Marina Genschaft; Thomas Huebner; Franziska Plessow; Vasiliki N. Ikonomidou; Nasreddin Abolmaali; Franziska Krone; Andre Hoffmann; Elisabeth Holfeld; Peter Vorwerk; Christof M. Kramm; Bernd Gruhn; Elisabeth Koustenis; Pablo Hernáiz-Driever; Rakesh Mandal; Meinolf Suttorp; Thomas Hummel; Chrysanthy Ikonomidou; Clemens Kirschbaum; Michael N. Smolka

Objective Using multidisciplinary treatment modalities the majority of children with cancer can be cured but we are increasingly faced with therapy-related toxicities. We studied brain morphology and neurocognitive functions in adolescent and young adult survivors of childhood acute, low and standard risk lymphoblastic leukemia (ALL), which was successfully treated with chemotherapy. We expected that intravenous and intrathecal chemotherapy administered in childhood will affect grey matter structures, including hippocampus and olfactory bulbs, areas where postnatal neurogenesis is ongoing. Methods We examined 27 ALL-survivors and 27 age-matched healthy controls, ages 15–22 years. ALL-survivors developed disease prior to their 11th birthday without central nervous system involvement, were treated with intrathecal and systemic chemotherapy and received no radiation. Volumes of grey, white matter and olfactory bulbs were measured on T1 and T2 magnetic resonance images manually, using FIRST (FMRIB’s integrated Registration and Segmentation Tool) and voxel-based morphometry (VBM). Memory, executive functions, attention, intelligence and olfaction were assessed. Results Mean volumes of left hippocampus, amygdala, thalamus and nucleus accumbens were smaller in the ALL group. VBM analysis revealed significantly smaller volumes of the left calcarine gyrus, both lingual gyri and the left precuneus. DTI data analysis provided no evidence for white matter pathology. Lower scores in hippocampus-dependent memory were measured in ALL-subjects, while lower figural memory correlated with smaller hippocampal volumes. Interpretation Findings demonstrate that childhood ALL, treated with chemotherapy, is associated with smaller grey matter volumes of neocortical and subcortical grey matter and lower hippocampal memory performance in adolescence and adulthood.


Multiple Sclerosis Journal | 2010

T1 cortical hypointensities and their association with cognitive disability in multiple sclerosis

Francesca Bagnato; Zeena Salman; Robert L. Kane; Sungyoung Auh; Fredric K. Cantor; Mary Ehrmantraut; Antonio Gallo; Vasiliki N. Ikonomidou; Joan Ohayon; Clelia Pellicano; Susan K. Stern; Henry F. McFarland

Background: Neocortical lesions (NLs) largely contribute to the pathology of multiple sclerosis (MS), although their relevance in patients’ disability remains unknown. Objective: To assess the incidence of T1 hypointense NLs by 3.0-Tesla magnetic resonance imaging (MRI) in patients with MS and examine neocortical lesion association with cognitive impairment. Methods: In this case-control study, 21 MS patients and 21 age-, sex- and years of education-matched healthy volunteers underwent: (i) a neuropsychological examination rating cognitive impairment (Minimal Assessment of Cognitive Function in MS); (ii) a 3.0-Tesla MRI inclusive of an isotropic 1.0 mm3 three-dimensional inversion prepared spoiled gradient-recalled-echo (3D-IRSPGR) image and T1- and T2-weighted images. Hypointensities on 3D-IRSPGR lying in the cortex, either entirely or partially were counted and association between NLs and cognitive impairment investigated. Results: A total of 95 NLs were observed in 14 (66.7%) patients. NL+ patients performed poorer (p = 0.020) than NLpatients only on the delayed recall component of the California Verbal Learning Test. This difference lost statistical significance when a correction for white matter lesion volume was employed. Conclusions: Although T 1 hypointense NLs may be present in a relatively high proportion of multiple sclerosis patients, the impact that they have in cognitive impairment is not independent from white matter disease.


American Journal of Neuroradiology | 2009

Tissue-specific imaging is a robust methodology to differentiate in vivo T1 black holes with advanced multiple sclerosis-induced damage.

Marco Riva; Vasiliki N. Ikonomidou; J.J. Ostuni; P. van Gelderen; Sungyoung Auh; Joan Ohayon; F. Tovar-Moll; Nancy Richert; J.H. Duyn; Francesca Bagnato

BACKGROUND AND PURPOSE: Brains of patients with multiple sclerosis (MS) characteristically have “black holes” (BHs), hypointense lesions on T1-weighted (T1W) spin-echo (SE) images. Although conventional MR imaging can disclose chronic BHs (CBHs), it cannot stage the degree of their pathologic condition. Tissue-specific imaging (TSI), a recently introduced MR imaging technique, allows selective visualization of white matter (WM), gray matter (GM), and CSF on the basis of T1 values of classes of tissue. We investigated the ability of TSI-CSF to separate CBHs with longer T1 values, which likely represent lesions containing higher levels of destruction and unbound water. MATERIALS AND METHODS: Eighteen patients with MS, who had already undergone MR imaging twice (24 months apart) on a 1.5T scanner, underwent a 3T MR imaging examination. Images acquired at 1.5T included sequences of precontrast and postcontrast T1W SE, T2-weighted (T2W) SE, and magnetization transfer (MT). Sequences obtained at 3T included precontrast and postcontrast T1W SE, T2W SE, T1 inversion recovery prepared fast spoiled gradient recalled-echo (IR-FSPGR) and TSI. A BH on the 3T-IR-FSPGR was defined as a CBH if seen as a hypointense, nonenhancing lesion with a corresponding T2 abnormality for at least 24 months. CBHs were separated into 2 groups: those visible as hyperintensities on TSI-CSF (group A), and those not appearing on the TSI-CSF (group B). RESULTS: Mean MT ratios of group-A lesions (0.22 ± 0.06, 0.13–0.35) were lower (F1,13 = 60.39; P < .0001) than those of group-B lesions (0.32 ± 0.03, 0.27–0.36). CONCLUSIONS: Group-A lesions had more advanced tissue damage; thus, TSI is a potentially valuable method for qualitative and objective identification.


Journal of Neuroimaging | 2011

Quality and Quantity of Diffuse and Focal White Matter Disease and Cognitive Disability of Patients with Multiple Sclerosis

Giuseppe Bomboi; Vasiliki N. Ikonomidou; Stefano Pellegrini; Susan K. Stern; Antonio Gallo; Sungyoung Auh; Iordanis E. Evangelou; Jhalak Agarwal; Clelia Pellicano; Joan Ohayon; Fredric K. Cantor; Mary Ehrmantraut; Henry F. McFarland; Robert L. Kane; Francesca Bagnato

Using high‐field magnetic resonance imaging (MRI), we investigated the relationships between white matter (WM) lesion volume (LV), normal‐appearing WM (NAWM) normalized volume, WM‐lesion and NAWM magnetization transfer ratios (MTRs), brain parenchyma fraction (BPF), and cognitive impairment (CI) in multiple sclerosis (MS).


Clinical and Experimental Immunology | 2007

A case study on the effect of neutralizing antibodies to interferon beta 1b in multiple sclerosis patients followed for 3 years with monthly imaging

Annie W. Chiu; Mary Ehrmantraut; Nancy Richert; Vasiliki N. Ikonomidou; S. Pellegrini; Henry F. McFarland; J. A. Frank; Francesca Bagnato

Interferon beta (IFN‐β) is among the first‐line treatment options for patients with multiple sclerosis (MS). A potential caveat of therapy, however, is the development of neutralizing antibodies (NAb) and/or neutralizing activity (NA) non‐antibody mediated, although debate is still ongoing as to whether NAb significantly hampers the efficacy of the drug or rather represents an immunologically irrelevant epiphenomenon. In the present study, we describe the effect of NAb on IFN‐β‐1b through clinical and magnetic resonance imaging (MRI) outcome measures of five relapsing–remitting multiple sclerosis (RRMS) patients who were treated with 250 μg of subcutaneously administered IFN‐β‐1b every other day and developed NAb at varying titres and times during the course of therapy. Despite the small number of NAb+ patients, heterogeneity in MRI/clinical response to IFN‐β‐1b was identified. Response to IFN‐β‐1b therapy was observed in the absence or presence of NAb. Also observed was failure to IFN‐β‐1b coincident with high and sustained NAb titres, but also before NAb development or in the presence of low NAb titres. Multiple MRI and NAb measurements performed within the same individual allow for a better description of the complex heterogeneous response to IFN‐β‐1b with respect to NAb occurrence.


Magnetic Resonance in Medicine | 2005

Optimizing brain tissue contrast with EPI: a simulated annealing approach.

Vasiliki N. Ikonomidou; Peter van Gelderen; Jacco A. de Zwart; Masaki Fukunaga; Jeff H. Duyn

A new magnetization preparation and image acquisition scheme was developed to obtain high‐resolution brain images with optimal tissue contrast. The pulse sequence was derived from an optimization process using simulated annealing, without prior assumptions with regard to the number of radiofrequency (RF) pulses and flip angles. The resulting scheme combined two inversion pulses with the acquisition of three images with varying contrast. The combination of the three images allowed separation of gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) based on T1, contrast. It also enabled the correction of small errors in the initial T1 estimates in postprocessing. The use of three‐dimensional (3D) sensitivity‐encoded (SENSE) echo‐planar imaging (EPI) for image acquisition made it possible to achieve a 1.153 mm3 isotropic resolution within a scan time of 10 min 21 s. The cortical GM signal‐to‐noise ratio (SNR) in the calculated GM‐only image varied between 30 and 100. The novel technique was evaluated in combination with blood oxygen level‐dependent (BOLD) functional magnetic resonance imaging (fMRI) on human subjects, and provided for excellent coregistration of anatomical and functional data. Magn Reson Med 54:373–385, 2005. Published 2005 Wiley‐Liss, Inc.


Journal of Neuroimaging | 2013

Cognitive Impairment and Its Relation to Imaging Measures in Multiple Sclerosis: A Study Using a Computerized Battery

Clelia Pellicano; Robert L. Kane; Antonio Gallo; Li Xiaobai; Susan K. Stern; Vasiliki N. Ikonomidou; Iordanis E. Evangelou; Joan Ohayon; Mary Ehrmantraut; Fredric K. Cantor; Francesca Bagnato

Cognitive impairment (CI) is an important component of multiple sclerosis (MS) disability. A complex biological interplay between white matter (WM) and gray matter (GM) disease likely sustains CI. This study aims to address this issue by exploring the association between the extent of normal WM and GM disease and CI.

Collaboration


Dive into the Vasiliki N. Ikonomidou's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Joan Ohayon

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Jeff H. Duyn

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Peter van Gelderen

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Fredric K. Cantor

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Mary Ehrmantraut

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Iordanis E. Evangelou

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Jacco A. de Zwart

National Institutes of Health

View shared research outputs
Top Co-Authors

Avatar

Megha Luthra

George Mason University

View shared research outputs
Researchain Logo
Decentralizing Knowledge