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Benjamin M. Hampstead
Researcher at University of Michigan
Publications - 80
Citations - 2310
Benjamin M. Hampstead is an academic researcher from University of Michigan. The author has contributed to research in topics: Medicine & Transcranial direct-current stimulation. The author has an hindex of 18, co-authored 53 publications receiving 1794 citations. Previous affiliations of Benjamin M. Hampstead include Emory University & Veterans Health Administration.
Papers
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Journal ArticleDOI
Safety of Transcranial Direct Current Stimulation: Evidence Based Update 2016.
Marom Bikson,Pnina Grossman,Chris Thomas,Adantchede L. Zannou,Jimmy Jiang,Tatheer Adnan,Antonios P. Mourdoukoutas,Greg Kronberg,Dennis Q. Truong,Paulo S. Boggio,Andre R. Brunoni,Leigh Charvet,Felipe Fregni,Brita Fritsch,Bernadette T. Gillick,Roy H. Hamilton,Benjamin M. Hampstead,Ryan Jankord,Adam Kirton,Helena Knotkova,David Liebetanz,Anli Liu,Colleen Loo,Michael A. Nitsche,Janine Reis,Janine Reis,Jessica D. Richardson,Alexander Rotenberg,Peter E. Turkeltaub,Adam J. Woods +29 more
TL;DR: Evidence from relevant animal models indicates that brain injury by Direct Current Stimulation (DCS) occurs at predicted brain current densities that are over an order of magnitude above those produced by conventional tDCS.
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Incomplete evidence that increasing current intensity of tDCS boosts outcomes.
Zeinab Esmaeilpour,Paola Marangolo,Benjamin M. Hampstead,Sven Bestmann,Elisabeth Galletta,Helena Knotkova,Marom Bikson +6 more
TL;DR: Understanding dose- response in human applications of tDCS is needed for protocol optimization including individualized dose to reduce outcome variability, which requires intelligent design of dose-response studies.
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Activation and Effective Connectivity Changes Following Explicit-Memory Training for Face–Name Pairs in Patients With Mild Cognitive Impairment: A Pilot Study
Benjamin M. Hampstead,Anthony Y. Stringer,Randall Stilla,Gopikrishna Deshpande,Xiaoping Hu,Anna Bacon Moore,Krish Sathian +6 more
TL;DR: The authors’ findings suggest that the effectiveness of explicit-memory training in patients with MCI is associated with training-specific increases in activation and connectivity in a distributed neural system that includes areas involved in explicit memory.
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Mnemonic strategy training partially restores hippocampal activity in patients with mild cognitive impairment.
TL;DR: Cognitive rehabilitation techniques may help mitigate hippocampal dysfunction in MCI patients by facilitating hippocampal functioning in a partially restorative manner, as defined anatomically.
Journal ArticleDOI
Predictive Big Data Analytics: A Study of Parkinson’s Disease Using Large, Complex, Heterogeneous, Incongruent, Multi-Source and Incomplete Observations
Ivo D. Dinov,Ivo D. Dinov,Ben Heavner,Ming Tang,Gustavo Glusman,Kyle Chard,Mike D'Arcy,Ravi Madduri,Judy Pa,Cathie Spino,Carl Kesselman,Ian Foster,Eric W. Deutsch,Nathan D. Price,John D. Van Horn,Joseph Ames,Kristi A. Clark,Leroy Hood,Benjamin M. Hampstead,Benjamin M. Hampstead,William T. Dauer,Arthur W. Toga +21 more
TL;DR: Model-free Big Data machine learning-based classification methods can outperform model-based techniques in terms of predictive precision and reliability, and it is observed that statistical rebalancing of cohort sizes yields better discrimination of group differences, specifically for predictive analytics based on heterogeneous and incomplete PPMI data.