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Automated Author Profile

Dold, M.

Current S-Index

3.0

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.6

Average Dataset Index per dataset

Total Datasets

5

Total datasets for this author

Average FAIR Score

27.7%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

LFP and ECoG data during CopyDraw task with deep brain stimulation - Dareplane data for proof of concept paper (Version: 1)

This data set contains raw data and analysis scripts used for the publication of the Dareplane platform (https://arxiv.org/abs/2408.01242). The data contains performance benchmarks of typical experimental setups on Dareplane for aDBS which are evaluated in three benchtop experiments, covering (a) an easy-to-replicate setup using an Arduino microcontroller, (b) a setup with hardware of an implantable pulse generator, and (c) a setup using an established and CE certified external neurostimulator. Benchmark results are presented for individual processing steps and full closed-loop processing with data stored in XDF files. The full technical feasibility of the platform in the aDBS context is demonstrated in a first closed-loop session with externalized leads on a patient with Parkinson’s disease receiving DBS treatment. The recordings including local field potentials (LFP - 16 channels), electrocorticography (ECoG - 4 channels), electrooculography (EOG - 4 channels) recorded from a Neuro Omega (Alpha Omega, Israel), as well as behavioral data during the CopyDraw task (Castaño Candamil et al., 2019, IEEE).Additional two sessions with open loop DBS are contained in this data set and also include heart rate (HR), respiratory rate (RR) and galvanic skin response (GSR) recorded with a BrainAmp ExG (Brain Products, Germany).Finally, the set contains EEG and behavioral recordings of a c-VEP speller experiment as XDF files. The EEG data was recorded from 8 channels (Fz, T7, T8, POz, O1, Oz, O2, Iz) placed according to the 10-10 system, using a BioSemi ActiveTwo amplifier recording at 512 Hz.

Authors

  • Dold, M. ;
  • Pereira, J. ;
  • Sajonz, B. ;
  • Coenen, V.A. ;
  • Thielen, J. ;
  • Janssen, M.L.F. ;
  • Tangermann, M.
0 Citations0 Mentions85% FAIR1.8 Dataset Index
10.34973/d214-m342September 2024

Supplementary Material for: The Efficacy of Light Therapy in the Treatment of Seasonal Affective Disorder: A Meta-Analysis of Randomized Controlled Trials

Background: Bright light therapy (BLT) has been used as a treatment for seasonal affective disorder (SAD) for over 30 years. This meta-analysis was aimed to assess the efficacy of BLT in the treatment of SAD in adults. Method: We performed a systematic literature search including randomized, single- or double-blind clinical trials investigating BLT (≥1,000 lx, light box or light visor) against dim light (≤400 lx) or sham/low-density negative ion generators as placebo. Only first-period data were used from crossover trials. The primary outcome was the post-treatment depression score measured by validated scales, and the secondary outcome was the rate of response to treatment. Results: A total of 19 studies finally met our predefined inclusion criteria. BLT was superior over placebo with a standardized mean difference of –0.37 (95% CI: –0.63 to –0.12) for depression ratings (18 studies, 610 patients) and a risk ratio of 1.42 (95% CI: 1.08–1.85) for response to active treatment (16 studies, 559 patients). We found no evidence for a publication bias, but moderate heterogeneity of the studies and a moderate-to-high risk of bias. Conclusions: BLT can be regarded as an effective treatment for SAD, but the available evidence stems from methodologically heterogeneous studies with small-to-medium sample sizes, necessitating larger high-quality clinical trials.

Authors

  • Pjrek, E. ;
  • Friedrich, M.-E. ;
  • Cambioli, L. ;
  • Dold, M. ;
  • Jäger, F. ;
  • Komorowski, A. ;
  • Lanzenberger, R. ;
  • Kasper, S. ;
  • Winkler, D.
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.9923777January 2019

Supplementary Material for: The Efficacy of Light Therapy in the Treatment of Seasonal Affective Disorder: A Meta-Analysis of Randomized Controlled Trials

Background: Bright light therapy (BLT) has been used as a treatment for seasonal affective disorder (SAD) for over 30 years. This meta-analysis was aimed to assess the efficacy of BLT in the treatment of SAD in adults. Method: We performed a systematic literature search including randomized, single- or double-blind clinical trials investigating BLT (≥1,000 lx, light box or light visor) against dim light (≤400 lx) or sham/low-density negative ion generators as placebo. Only first-period data were used from crossover trials. The primary outcome was the post-treatment depression score measured by validated scales, and the secondary outcome was the rate of response to treatment. Results: A total of 19 studies finally met our predefined inclusion criteria. BLT was superior over placebo with a standardized mean difference of –0.37 (95% CI: –0.63 to –0.12) for depression ratings (18 studies, 610 patients) and a risk ratio of 1.42 (95% CI: 1.08–1.85) for response to active treatment (16 studies, 559 patients). We found no evidence for a publication bias, but moderate heterogeneity of the studies and a moderate-to-high risk of bias. Conclusions: BLT can be regarded as an effective treatment for SAD, but the available evidence stems from methodologically heterogeneous studies with small-to-medium sample sizes, necessitating larger high-quality clinical trials.

Authors

  • Pjrek, E. ;
  • Friedrich, M.-E. ;
  • Cambioli, L. ;
  • Dold, M. ;
  • Jäger, F. ;
  • Komorowski, A. ;
  • Lanzenberger, R. ;
  • Kasper, S. ;
  • Winkler, D.
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.9923777.v1January 2019

Supplementary Material for: Second-Generation Antipsychotic Drugs in Anorexia Nervosa: A Meta-Analysis of Randomized Controlled Trials

Background: Second-generation antipsychotic drugs (SGAs) are increasingly administered to achieve weight gain in anorexia nervosa. In this meta-analysis, we aimed to determine if any evidence for this treatment option can be derived from randomized controlled trials (RCTs). Methods: Based on the ‘World Federation of Societies of Biological Psychiatry (WFSBP) Guidelines for the Pharmacological Treatment of Eating Disorders', a systematic update literature search was applied to identify all RCTs investigating the efficacy, acceptability, and tolerability of SGAs in anorexia nervosa in comparison to placebo/no treatment. The primary outcome was weight gain measured by mean change in body mass index (BMI). Secondary outcomes were mean changes in Yale-Brown-Cornell Eating Disorders Scale (YBC-EDS) total score and Eating Disorders Inventory (EDI) total score and premature discontinuation of treatment. Employing a random-effects model standardized mean differences based on Hedges's g and Mantel-Haenszel risk ratios were calculated. Results: Seven RCTs (n = 201) investigating olanzapine (N = 4), quetiapine (N = 2), and risperidone (N = 1) were included. We found no statistically significant between-group differences for mean BMI change when pooling the SGAs (N = 7, n = 161; Hedges's g = 0.13, 95% CI: -0.17 to 0.43; p = 0.4) and when examining the individual drugs. Furthermore, the SGAs failed to differentiate statistically significantly from placebo/no treatment for all secondary outcomes. Conclusions: Based on the current evidence, pharmacological treatment of anorexia nervosa with SGAs cannot be generally recommended although some individuals or subgroups of patients might benefit from an antipsychotic medication. Further research is required to identify which patients will likely benefit from such a treatment option.

Authors

  • Dold, M. ;
  • Aigner, M. ;
  • Klabunde, M. ;
  • Treasure, J. ;
  • Kasper, S.
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.5127397January 2015

Supplementary Material for: Second-Generation Antipsychotic Drugs in Anorexia Nervosa: A Meta-Analysis of Randomized Controlled Trials

Background: Second-generation antipsychotic drugs (SGAs) are increasingly administered to achieve weight gain in anorexia nervosa. In this meta-analysis, we aimed to determine if any evidence for this treatment option can be derived from randomized controlled trials (RCTs). Methods: Based on the ‘World Federation of Societies of Biological Psychiatry (WFSBP) Guidelines for the Pharmacological Treatment of Eating Disorders', a systematic update literature search was applied to identify all RCTs investigating the efficacy, acceptability, and tolerability of SGAs in anorexia nervosa in comparison to placebo/no treatment. The primary outcome was weight gain measured by mean change in body mass index (BMI). Secondary outcomes were mean changes in Yale-Brown-Cornell Eating Disorders Scale (YBC-EDS) total score and Eating Disorders Inventory (EDI) total score and premature discontinuation of treatment. Employing a random-effects model standardized mean differences based on Hedges's g and Mantel-Haenszel risk ratios were calculated. Results: Seven RCTs (n = 201) investigating olanzapine (N = 4), quetiapine (N = 2), and risperidone (N = 1) were included. We found no statistically significant between-group differences for mean BMI change when pooling the SGAs (N = 7, n = 161; Hedges's g = 0.13, 95% CI: -0.17 to 0.43; p = 0.4) and when examining the individual drugs. Furthermore, the SGAs failed to differentiate statistically significantly from placebo/no treatment for all secondary outcomes. Conclusions: Based on the current evidence, pharmacological treatment of anorexia nervosa with SGAs cannot be generally recommended although some individuals or subgroups of patients might benefit from an antipsychotic medication. Further research is required to identify which patients will likely benefit from such a treatment option.

Authors

  • Dold, M. ;
  • Aigner, M. ;
  • Klabunde, M. ;
  • Treasure, J. ;
  • Kasper, S.
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.5127397.v1January 2015