scholarly journals Clinical Speech fMRI in Children and Adolescents

2021 ◽  
Author(s):  
Hannah Krafft ◽  
Martin Staudt
Keyword(s):  
Focal Epilepsy ◽  
Success Rates ◽  
Optimal Sequence ◽  
Vowel Identification ◽  
Language Dominance ◽  
Parietal Lobes ◽  
Temporal Language ◽  
Language Areas ◽  
Age Range ◽  
Hemispheric Language Dominance

Abstract Purpose In patients with drug-resistant focal epilepsy, surgical resection is often the only treatment option to achieve long-term seizure control. Prior to brain surgery involving potential language areas, identification of hemispheric language dominance is crucial. Our group developed and validated a functional magnetic resonance imaging (fMRI) battery of four pediatric language tasks. The present study aimed at optimizing fMRI data acquisition and analysis using these tasks. Methods We retrospectively analyzed speech fMRI examinations of 114 neuropediatric patients (age range 5.8–17.8 years) who were examined prior to possible epilepsy surgery. In order to evaluate hemispheric language dominance, 1–4 language tasks (vowel identification task VIT, word-chain task WCT, beep-story task BST, synonym task SYT) were measured. Results Language dominance was classified using fMRI activation in the 13 validly lateralizing ROIs (VLR) in frontal, temporal and parietal lobes and cerebellum of the recent validation study from our group: 47/114 patients were classified as left-dominant, 34/114 as bilateral and 6/114 as right-dominant. In an attempt to enlarge the set of VLR, we then compared for each task agreement of these ROI activations with the classified language dominance. We found four additional task-specific ROIs showing concordant activation and activation in ≥ 10 sessions, which we termed validly lateralizing (VLRnew). The new VLRs were: for VIT the temporal language area and for SYT the middle frontal gyrus, the intraparietal sulcus and cerebellum. Finally, in order to find the optimal sequence of measuring the different tasks, we analyzed the success rates of single tasks and all possible task combinations. The sequence 1) VIT 2) WCT 3) BST 4) SYT was identified as the optimal sequence, yielding the highest chance to obtain reliable results even when the fMRI examination has to be stopped, e.g., due to lack of cooperation. Conclusion Our suggested task order together with the enlarged set of VLRnew may contribute to optimize pediatric speech fMRI in a clinical setting.

scholarly journals Different chest CT scoring systems in patients with COVID-19: could baseline CT be a helpful tool in predicting survival in patients with matched ages and co-morbid conditions?

2021 ◽  
pp. 028418512110063
Author(s):  
Okan Dilek ◽  
Emin Demirel ◽  
Hüseyin Akkaya ◽  
Mehmet Cenk Belibagli ◽  
Gokhan Soker ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Severity Score ◽  
Area Under The Curve ◽  
Scoring Systems ◽  
Survival Prediction ◽  
Success Rates ◽  
Survival Times ◽  
The Mean ◽  
Early Decision ◽  
Age Range

Background Computed tomography (CT) gives an idea about the prognosis in patients with COVID-19 lung infiltration. Purpose To evaluate the success rates of various scoring methods utilized in order to predict survival periods, on the basis of the imaging findings of COVID-19. Another purpose, on the other hand, was to evaluate the agreements among the evaluating radiologists. Material and Methods A total of 100 cases of known COVID-19 pneumonia, of which 50 were deceased and 50 were living, were included in the study. Pre-existing scoring systems, which were the Total Severity Score (TSS), Chest Computed Tomography Severity Score (CT-SS), and Total CT Score, were utilized, together with the Early Decision Severity Score (ED-SS), which was developed by our team, to evaluate the initial lung CT scans of the patients obtained at their initial admission to the hospital. The scans were evaluated retrospectively by two radiologists. Area under the curve (AUC) values were acquired for each scoring system, according to their performances in predicting survival times. Results The mean age of the patients was 61 ± 14.85 years (age range = 18–87 years). There was no difference in co-morbidities between the living and deceased patients. The survival predicted AUC values of ED-SS, CT-SS, TSS, and Total CT Score systems were 0.876, 0.823, 0.753, and 0.744, respectively. Conclusion Algorithms based on lung infiltration patterns of COVID-19 may be utilized for both survival prediction and therapy planning.

scholarly journals Detection of 2D and 3D Video Transitions Based on EEG Power

2020 ◽  
Author(s):  
Negin Manshouri ◽  
Mesut Melek ◽  
Temel Kayikcioglu
Keyword(s):  
Steady State ◽  
Support Vector ◽  
Success Rates ◽  
K Nearest Neighbors ◽  
3D Vision ◽  
Linear Discriminant ◽  
Parietal Lobes ◽  
Brain Signals ◽  
Sudden Transition ◽  
2D And 3D

Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations it creates. People see their environment as 3D because of their eye structure. In this study, it is hypothesized that people lose their perception of depth during sleepy moments and that there is a sudden transition from 3D vision to 2D vision. Regarding these transitions, the EEG signal analysis method was used for deep and comprehensive analysis of 2D and 3D brain signals. In this study, a single-stream anaglyph video of random 2D and 3D segments was prepared. After watching this single video, the obtained EEG recordings were considered for two different analyses: the part involving the critical transition (transition-state) and the state analysis of only the 2D versus 3D or 3D versus 2D parts (steady-state). The main objective of this study is to see the behavioral changes of brain signals in 2D and 3D transitions. To clarify the impacts of the human brain’s power spectral density (PSD) in 2D-to-3D (2D_3D) and 3D-to-2D (3D_2D) transitions of anaglyph video, 9 visual healthy individuals were prepared for testing in this pioneering study. Spectrogram graphs based on Short Time Fourier transform (STFT) were considered to evaluate the power spectrum analysis in each EEG channel of transition or steady-state. Thus, in 2D and 3D transition scenarios, important channels representing EEG frequency bands and brain lobes will be identified. To classify the 2D and 3D transitions, the dominant bands and time intervals representing the maximum difference of PSD were selected. Afterward, effective features were selected by applying statistical methods such as standard deviation (SD), maximum (max), and Hjorth parameters to epochs indicating transition intervals. Ultimately, k-Nearest Neighbors (k-NN), Support Vector Machine (SVM), and Linear Discriminant Analysis (LDA) algorithms were applied to classify 2D_3D and 3D_2D transitions. The frontal, temporal, and partially parietal lobes show 2D_3D and 3D_2D transitions with a good classification success rate. Overall, it was found that Hjorth parameters and LDA algorithms have 71.11% and 77.78% classification success rates for transition and steady-state, respectively.

fMRI evaluation of hemispheric language dominance using various methods of laterality index calculation

2006 ◽  
Vol 179 (3) ◽  
pp. 365-374 ◽  
Author(s):  
Pavel Chlebus ◽  
Michal Mikl ◽  
Milan Brázdil ◽  
Marta Pažourková ◽  
Petr Krupa ◽  
...  
Keyword(s):  
Language Dominance ◽  
Laterality Index ◽  
Index Calculation ◽  
Hemispheric Language Dominance

The association between scalp hair-whorl direction, handedness and hemispheric language dominance:

NeuroImage ◽  
2007 ◽  
Vol 35 (2) ◽  
pp. 853-861 ◽  
Author(s):  
Andreas Jansen ◽  
Hubertus Lohmann ◽  
Stefanie Scharfe ◽  
Christina Sehlmeyer ◽  
Michael Deppe ◽  
...  
Keyword(s):  
Scalp Hair ◽  
Language Dominance ◽  
Hemispheric Language Dominance

Is hemispheric language dominance relevant in musical hallucinations?

2002 ◽  
Vol 252 (6) ◽  
pp. 299-302 ◽  
Author(s):  
Stefan Evers ◽  
Tanja Ellger ◽  
Erich B. Ringelstein ◽  
Stefan Knecht
Keyword(s):  
Language Dominance ◽  
Hemispheric Language Dominance

Detection of 2D and 3D Video Transitions Based on EEG Power

2020 ◽  
Author(s):  
Negin Manshouri ◽  
Mesut Melek ◽  
Temel Kayıkcıoglu
Keyword(s):  
Steady State ◽  
Support Vector ◽  
Success Rates ◽  
K Nearest Neighbors ◽  
3D Vision ◽  
Linear Discriminant ◽  
Parietal Lobes ◽  
Brain Signals ◽  
Sudden Transition ◽  
2D And 3D

Abstract Despite the long and extensive history of 3D technology, it has recently attracted the attention of researchers. This technology has become the center of interest of young people because of the real feelings and sensations it creates. People see their environment as 3D because of their eye structure. In this study, it is hypothesized that people lose their perception of depth during sleepy moments and that there is a sudden transition from 3D vision to 2D vision. Regarding these transitions, the EEG signal analysis method was used for deep and comprehensive analysis of 2D and 3D brain signals. In this study, a single-stream anaglyph video of random 2D and 3D segments was prepared. After watching this single video, the obtained EEG recordings were considered for two different analyses: the part involving the critical transition (transition state) and the state analysis of only the 2D versus 3D or 3D versus 2D parts (steady state). The main objective of this study is to see the behavioral changes of brain signals in 2D and 3D transitions. To clarify the impacts of the human brain’s power spectral density (PSD) in 2D-to-3D (2D_3D) and 3D-to-2D (3D_2D) transitions of anaglyph video, nine visual healthy individuals were prepared for testing in this pioneering study. Spectrogram graphs based on short time Fourier transform (STFT) were considered to evaluate the power spectrum analysis in each EEG channel of transition or steady state. Thus, in 2D and 3D transition scenarios, important channels representing EEG frequency bands and brain lobes will be identified. To classify the 2D and 3D transitions, the dominant bands and time intervals representing the maximum difference of PSD were selected. Afterward, effective features were selected by applying statistical methods such as standard deviation, maximum (max) and Hjorth parameters to epochs indicating transition intervals. Ultimately, k-nearest neighbors, support vector machine and linear discriminant analysis (LDA) algorithms were applied to classify 2D_3D and 3D_2D transitions. The frontal, temporal and partially parietal lobes show 2D_3D and 3D_2D transitions with a good classification success rate. Overall, it was found that Hjorth parameters and LDA algorithms have 71.11% and 77.78% classification success rates for transition and steady state, respectively.

DOZ047.91: Bronchoscopic treatment of recurrent tracheoesophageal fistula: is it an effective option?

2019 ◽  
Vol 32 (Supplement_1) ◽  
Author(s):  
N Valiyev ◽  
K K Cerit ◽  
M Y Erdas ◽  
A P Ergenekon ◽  
G Kiyan
Keyword(s):  
Success Rate ◽  
Tracheoesophageal Fistula ◽  
Late Complications ◽  
Laser Coagulation ◽  
Success Rates ◽  
Surgical Closure ◽  
Endoscopic Method ◽  
Effective Option ◽  
Age Range

Abstract Purpose Despite technical and surgical improvements, treatment of recurrent tracheoesophageal fistula (rTEF) still remains a challenging problem in pediatric patients. Bronchoscopic closure of rTEF using different agents is described with different success rates in the literature. This study aimed to report results of patients with rTEF treated with chemocauterization using trichloroacetic acid (TCA) and with laser cauterization (LC) followed by fibrin glue (FG) application. Methods Nine patients with rTEF were included in the study from 2014 to 2018. Four patients underwent fistula closure with LC followed by FG application, while another four patients had chemocauterization with TCA. In one case both agents were used. Patients were checked for the success of the treatment by bronchoscopy. All patients had the diagnosis of rTEF. Seven patients had EA with distal TEF and the remaining two patients had H-type TEF as primary pathologies. FG application was performed by LC followed by injection of FG into the fistula. Application of the TCA was made by a TCA-soaked sponge for 30 seconds and 3 times each trial. Results Nine children of the age range 4 months to 5 years (mean 1.5 year) were treated endoscopically. Follow-up ranged between 3 months and 5 years (mean 28 months). Among the nine patients only in one patient with only laser coagulation with FG application the treatment was successful. In the remaining eight patients all attempts failed. All these patients underwent open surgical closure of the fistula. There were no acute or late complications related to either endoscopic method. Conclusion The results of this study suggest that endoscopic occlusion of recurrent TEF has a low success rate. Surgical closure is still a standard method with a high success rate. Even though endoscopic options are less invasive, they prolong the period of aspiration and may cause increased pulmonary problems.

Language dominance in patients with early childhood tumors near left hemisphere language areas

Neurology ◽  
1995 ◽  
Vol 45 (2) ◽  
pp. 349-356 ◽  
Author(s):  
K. J. DeVos ◽  
E. Wyllie ◽  
C. Geckler ◽  
P. Kotagal ◽  
Y. Comair
Keyword(s):  
Early Childhood ◽  
Left Hemisphere ◽  
Language Dominance ◽  
Childhood Tumors ◽  
Language Areas
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