User profiles for M. A. Lindquist

Martin Lindquist

Professor of Biostatistics, Johns Hopkins University
Verified email at jhsph.edu
Cited by 16455

Building better biomarkers: brain models in translational neuroimaging

CW Woo, LJ Chang, MA Lindquist, TD Wager - Nature neuroscience, 2017 - nature.com
Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a developing synergy between emerging analysis techniques and …

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

…, S Kheilholz, A Kucyi, R Liégeois, MA Lindquist… - Network …, 2020 - direct.mit.edu
The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for …

Evaluating the consistency and specificity of neuroimaging data using meta-analysis

TD Wager, MA Lindquist, TE Nichols, H Kober… - Neuroimage, 2009 - Elsevier
Making sense of a neuroimaging literature that is growing in scope and complexity will require
increasingly sophisticated tools for synthesizing findings across studies. Meta-analysis of …

[HTML][HTML] An fMRI-based neurologic signature of physical pain

TD Wager, LY Atlas, MA Lindquist, M Roy… - … England Journal of …, 2013 - Mass Medical Soc
Background Persistent pain is measured by means of self-report, the sole reliance on which
hampers diagnosis and treatment. Functional magnetic resonance imaging (fMRI) holds …

[HTML][HTML] Prefrontal-subcortical pathways mediating successful emotion regulation

TD Wager, ML Davidson, BL Hughes, MA Lindquist… - Neuron, 2008 - cell.com
Although prefrontal cortex has been implicated in the cognitive regulation of emotion, the
cortical-subcortical interactions that mediate this ability remain poorly understood. To address …

The statistical analysis of fMRI data

MA Lindquist - 2008 - projecteuclid.org
In recent years there has been explosive growth in the number of neuroimaging studies
performed using functional Magnetic Resonance Imaging (fMRI). The field that has grown …

Modeling the hemodynamic response function in fMRI: efficiency, bias and mis-modeling

MA Lindquist, JM Loh, LY Atlas, TD Wager - Neuroimage, 2009 - Elsevier
Most brain research to date have focused on studying the amplitude of evoked fMRI responses,
though there has recently been an increased interest in measuring onset, peak latency …

Brain mediators of predictive cue effects on perceived pain

LY Atlas, N Bolger, MA Lindquist… - Journal of …, 2010 - Soc Neuroscience
Information about upcoming pain strongly influences pain experience in experimental and
clinical settings, but little is known about the brain mechanisms that link expectation and …

Evaluating dynamic bivariate correlations in resting-state fMRI: a comparison study and a new approach

MA Lindquist, Y Xu, MB Nebel, BS Caffo - NeuroImage, 2014 - Elsevier
To date, most functional Magnetic Resonance Imaging (fMRI) studies have assumed that
the functional connectivity (FC) between time series from distinct brain regions is constant …

Dynamic connectivity regression: determining state-related changes in brain connectivity

…, R Haraldsdottir, LY Atlas, TD Wager, MA Lindquist - Neuroimage, 2012 - Elsevier
Most statistical analyses of fMRI data assume that the nature, timing and duration of the
psychological processes being studied are known. However, often it is hard to specify this …