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Daniel H. Wolf

Researcher at University of Pennsylvania

Publications -  162
Citations -  13572

Daniel H. Wolf is an academic researcher from University of Pennsylvania. The author has contributed to research in topics: Psychopathology & Cognition. The author has an hindex of 50, co-authored 140 publications receiving 9858 citations. Previous affiliations of Daniel H. Wolf include University of Bern & Hospital of the University of Pennsylvania.

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Impact of in-scanner head motion on multiple measures of functional connectivity: relevance for studies of neurodevelopment in youth.

TL;DR: The results demonstrate the pervasive influence of motion on multiple types functional connectivity analysis, and underline the importance of accounting for motion in studies of neurodevelopment.
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Subcortical brain volume abnormalities in 2028 individuals with schizophrenia and 2540 healthy controls via the ENIGMA consortium

T.G.M. van Erp, +66 more
- 01 Apr 2016 - 
TL;DR: Worldwide cooperative analyses of brain imaging data support a profile of subcortical abnormalities in schizophrenia, which is consistent with that based on traditional meta-analytic approaches, and validates that collaborative data analyses can readily be used across brain phenotypes and disorders.
Journal ArticleDOI

Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity.

TL;DR: A systematic evaluation of 14 participant‐level confound regression methods for functional connectivity highlights the heterogeneous efficacy of existing methods, and suggests that different confounding regression strategies may be appropriate in the context of specific scientific goals.
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Cortical abnormalities in bipolar disorder : An MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group

Derrek P. Hibar, +145 more
- 01 Apr 2018 - 
TL;DR: The largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of bipolar disorder patients is performed, revealing previously undetected associations and providing an extensive analysis of potential confounding variables in neuroimaging studies of BD.