User profiles for Kosha Ruparel

kosha Ruparel

University of Pennsylvania
Verified email at upenn.edu
Cited by 21077

An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

TD Satterthwaite, MA Elliott, RT Gerraty, K Ruparel… - Neuroimage, 2013 - Elsevier
Several recent reports in large, independent samples have demonstrated the influence of
motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI …

Sex differences in the structural connectome of the human brain

…, MA Elliott, K Ruparel… - Proceedings of the …, 2014 - National Acad Sciences
Sex differences in human behavior show adaptive complementarity: Males have better motor
and spatial abilities, whereas females have superior memory and social cognition skills. …

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

TD Satterthwaite, DH Wolf, J Loughead, K Ruparel… - Neuroimage, 2012 - Elsevier
It has recently been reported (Van Dijk et al., 2011) that in-scanner head motion can have a
substantial impact on MRI measurements of resting-state functional connectivity. This finding …

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

…, DH Wolf, JD Power, DR Roalf, GL Baum, K Ruparel… - Neuroimage, 2017 - Elsevier
Since initial reports regarding the impact of motion artifact on measures of functional connectivity,
there has been a proliferation of participant-level confound regression methods to limit …

Harmonization of multi-site diffusion tensor imaging data

…, D Parker, B Tunç, T Watanabe, MA Elliott, K Ruparel… - Neuroimage, 2017 - Elsevier
Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging (MRI)
technique used for studying microstructural changes in the white matter. As with many other …

Baby schema in infant faces induces cuteness perception and motivation for caretaking in adults

ML Glocker, DD Langleben, K Ruparel… - Ethology, 2009 - Wiley Online Library
Ethologist Konrad Lorenz proposed that baby schema (‘Kindchenschema’) is a set of infantile
physical features such as the large head, round face and big eyes that is perceived as cute …

Classifying spatial patterns of brain activity with machine learning methods: application to lie detection

C Davatzikos, K Ruparel, Y Fan, DG Shen, M Acharyya… - Neuroimage, 2005 - Elsevier
Patterns of brain activity during deception have recently been characterized with fMRI on
the multi-subject average group level. The clinical value of fMRI in lie detection will be …

Neuroimaging of the Philadelphia neurodevelopmental cohort

TD Satterthwaite, MA Elliott, K Ruparel, J Loughead… - Neuroimage, 2014 - Elsevier
The Philadelphia Neurodevelopmental Cohort (PNC) is a large-scale, NIMH funded initiative
to understand how brain maturation mediates cognitive development and vulnerability to …

Baby schema modulates the brain reward system in nulliparous women

…, DD Langleben, K Ruparel… - Proceedings of the …, 2009 - National Acad Sciences
Ethologist Konrad Lorenz defined the baby schema (“Kindchenschema”) as a set of infantile
physical features, such as round face and big eyes, that is perceived as cute and motivates …

Telling truth from lie in individual subjects with fast event‐related fMRI

…, JW Loughead, WB Bilker, K Ruparel… - Human brain …, 2005 - Wiley Online Library
Deception is a clinically important behavior with poorly understood neurobiological correlates.
Published functional MRI (fMRI) data on the brain activity during deception indicates that, …