Prantik Kundu, PhD
Prantik Kundu, PhD
Hyperfine Research Inc., Icahn School of Medicine at Mount Sinai
Verified email at hyperfine.io - Homepage
Title
Cited by
Cited by
Year
Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI
P Kundu, SJ Inati, JW Evans, WM Luh, PA Bandettini
Neuroimage 60 (3), 1759-1770, 2012
3342012
A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series
AX Patel, P Kundu, M Rubinov, PS Jones, PE Vértes, KD Ersche, ...
Neuroimage 95, 287-304, 2014
2322014
Integrated strategy for improving functional connectivity mapping using multiecho fMRI
P Kundu, ND Brenowitz, V Voon, Y Worbe, PE Vértes, SJ Inati, ZS Saad, ...
Proceedings of the National Academy of Sciences 110 (40), 16187-16192, 2013
2082013
The neural processes underlying self-agency
FB Nahab, P Kundu, C Gallea, J Kakareka, R Pursley, T Pohida, N Miletta, ...
Cerebral cortex 21 (1), 48-55, 2011
1392011
Specific frontostriatal circuits for impaired cognitive flexibility and goal-directed planning in obsessive-compulsive disorder: evidence from resting-state functional connectivity
MM Vaghi, PE Vértes, MG Kitzbichler, AM Apergis-Schoute, ...
Biological psychiatry 81 (8), 708-717, 2017
1252017
Ridding fMRI data of motion-related influences: Removal of signals with distinct spatial and physical bases in multiecho data
JD Power, M Plitt, SJ Gotts, P Kundu, V Voon, PA Bandettini, A Martin
Proceedings of the National Academy of Sciences 115 (9), E2105-E2114, 2018
1102018
Fronto-striatal organization: defining functional and microstructural substrates of behavioural flexibility
LS Morris, P Kundu, N Dowell, DJ Mechelmans, P Favre, MA Irvine, ...
cortex 74, 118-133, 2016
1012016
The EU-AIMS Longitudinal European Autism Project (LEAP): design and methodologies to identify and validate stratification biomarkers for autism spectrum disorders
E Loth, T Charman, L Mason, J Tillmann, EJH Jones, C Wooldridge, ...
Molecular Autism 8 (1), 24, 2017
982017
Multi-echo fMRI: a review of applications in fMRI denoising and analysis of BOLD signals
P Kundu, V Voon, P Balchandani, MV Lombardo, BA Poser, PA Bandettini
Neuroimage 154, 59-80, 2017
852017
The EU-AIMS Longitudinal European Autism Project (LEAP): clinical characterisation
T Charman, E Loth, J Tillmann, D Crawley, C Wooldridge, D Goyard, ...
Molecular autism 8 (1), 27, 2017
582017
Jumping the gun: mapping neural correlates of waiting impulsivity and relevance across alcohol misuse
LS Morris, P Kundu, K Baek, MA Irvine, DJ Mechelmans, J Wood, ...
Biological psychiatry 79 (6), 499-507, 2016
562016
Intranasal oxytocin enhances intrinsic corticostriatal functional connectivity in women
RAI Bethlehem, MV Lombardo, MC Lai, B Auyeung, SK Crockford, ...
Translational psychiatry 7 (4), e1099-e1099, 2017
502017
Improving effect size estimation and statistical power with multi-echo fMRI and its impact on understanding the neural systems supporting mentalizing
MV Lombardo, B Auyeung, RJ Holt, J Waldman, ANV Ruigrok, N Mooney, ...
Neuroimage 142, 55-66, 2016
482016
Separating slow BOLD from non-BOLD baseline drifts using multi-echo fMRI
JW Evans, P Kundu, SG Horovitz, PA Bandettini
NeuroImage 105, 189-197, 2015
472015
RAD51 deficiency disrupts the corticospinal lateralization of motor control
C Gallea, T Popa, C Hubsch, R Valabregue, V Brochard, P Kundu, ...
Brain 136 (11), 3333-3346, 2013
462013
Mindfulness and dynamic functional neural connectivity in children and adolescents
HA Marusak, F Elrahal, CA Peters, P Kundu, MV Lombardo, VD Calhoun, ...
Behavioural brain research 336, 211-218, 2018
422018
Enhanced identification of BOLD-like components with multi-echo simultaneous multi-slice (MESMS) fMRI and multi-echo ICA
V Olafsson, P Kundu, EC Wong, PA Bandettini, TT Liu
Neuroimage 112, 43-51, 2015
402015
Robust resting state fMRI processing for studies on typical brain development based on multi-echo EPI acquisition
P Kundu, BE Benson, KL Baldwin, D Rosen, WM Luh, PA Bandettini, ...
Brain imaging and behavior 9 (1), 56-73, 2015
402015
Differentiating BOLD and non-BOLD signals in fMRI time series from anesthetized rats using multi-echo EPI at 11.7 T
P Kundu, MD Santin, PA Bandettini, ET Bullmore, A Petiet
NeuroImage 102, 861-874, 2014
402014
Temporal interpolation alters motion in fMRI scans: Magnitudes and consequences for artifact detection
JD Power, M Plitt, P Kundu, PA Bandettini, A Martin
PloS one 12 (9), e0182939, 2017
382017
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