Martin Lindquist

Martin Lindquist

Johns Hopkins University

H-index: 55

North America-United States

About Martin Lindquist

Martin Lindquist, With an exceptional h-index of 55 and a recent h-index of 48 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Statistical problems in fMRI.

His recent articles reflect a diverse array of research interests and contributions to the field:

REPRINTED WITH PERMISSION OF IASP–PAIN 164 (2023): 1912–1926: Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

A tensor based varying-coefficient model for multi-modal neuroimaging data analysis

Assessing Influential Observations in Pain Prediction using fMRI Data

Comparing Automated Subcortical Volume Estimation Methods; Amygdala Volumes Estimated by FSL and FreeSurfer Have Poor Consistency

Brain Correlates of Chronic Pain Onset, Progression, and Resolution

Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain

A Riemannian Geometry perspective on EEG functional connectivity as a mediator between malnutrition and cognition

Regression models for partially localized fMRI connectivity analyses

Martin Lindquist Information

University

Position

Professor of Biostatistics

Citations(all)

16123

Citations(since 2020)

9079

Cited By

10938

hIndex(all)

55

hIndex(since 2020)

48

i10Index(all)

114

i10Index(since 2020)

101

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Martin Lindquist Skills & Research Interests

Statistical problems in fMRI

Top articles of Martin Lindquist

Title

Journal

Author(s)

Publication Date

REPRINTED WITH PERMISSION OF IASP–PAIN 164 (2023): 1912–1926: Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

Kathleen A Sluka

Tor D Wager

Stephani P Sutherland

Patricia A Labosky

Tessa Balach

...

2024/3/18

A tensor based varying-coefficient model for multi-modal neuroimaging data analysis

IEEE Transactions on Signal Processing

Pratim Guha Niyogi

Martin A Lindquist

Tapabrata Maiti

2024/3/11

Assessing Influential Observations in Pain Prediction using fMRI Data

arXiv preprint arXiv:2401.13208

Dongliang Zhang

Masoud Asgharian

Martin A Lindquist

2024/1/24

Comparing Automated Subcortical Volume Estimation Methods; Amygdala Volumes Estimated by FSL and FreeSurfer Have Poor Consistency

bioRxiv

Patrick Sadil

Martin A Lindquist

2024

Brain Correlates of Chronic Pain Onset, Progression, and Resolution

The Journal of Pain

Katerina Zorina-Lichtenwalter

Carmen Bango

Marta Ceko

Lydia Rader

Martin A Lindquist

...

2024/4/1

Placebo treatment affects brain systems related to affective and cognitive processes, but not nociceptive pain

bioRxiv

Rotem Botvinik-Nezer

Bogdan Petre

Marta Ceko

Martin A Lindquist

Naomi P Friedman

...

2023/9/22

A Riemannian Geometry perspective on EEG functional connectivity as a mediator between malnutrition and cognition

International Journal of Psychophysiology

C Lopez-Naranjo

M Li

Y Wang

FA Razzaq

JF Bosch-Bayard

...

2023/6/1

Regression models for partially localized fMRI connectivity analyses

Frontiers in Neuroimaging

Bonnie B Smith

Yi Zhao

Martin A Lindquist

Brian Caffo

2023

Pathological claustrum activity drives aberrant cognitive network processing in human chronic pain

bioRxiv

Brent W Stewart

Michael L Keaser

Hwiyoung Lee

Sarah M Margerison

Matthew A Cormie

...

2023/11/2

Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

Kathleen A Sluka

Tor D Wager

Stephani P Sutherland

Patricia A Labosky

Tessa Balach

...

2023/9/1

Single-index models with functional connectivity network predictors

Biostatistics

Caleb Weaver

Luo Xiao

Martin A Lindquist

2023/1

Sliding windows analysis can undo the effects of preprocessing when applied to fMRI data

bioRxiv

Martin A Lindquist

2023/10/9

Identification of the language network from resting-state fMRI in patients with brain tumors: how accurate are experts?

American Journal of Neuroradiology

SK Gujar

K Manzoor

J Wongsripuemtet

G Wang

D Ryan

...

2023/3/1

Brain mediators of negative affect-induced physical symptom reporting in patients with functional somatic syndromes

Translational psychiatry

Katleen Bogaerts

Maaike Van Den Houte

Daniëlle Jongen

Huynh Giao Ly

Eline Coppens

...

2023/8/21

Enhanced hyperalignment via spatial prior information

Human Brain Mapping

Angela Andreella

Livio Finos

Martin A Lindquist

2023/3

Differences in functional connectivity distribution after transcranial direct‐current stimulation: A connectivity density point of view

Human Brain Mapping

Bohao Tang

Yi Zhao

Archana Venkataraman

Kyrana Tsapkini

Martin A Lindquist

...

2023/1

Imaging Neuroscience opening editorial

Stephen Smith

Til Ole Bergmann

Birte Forstmann

Alain Dagher

Shella Keilholz

...

2023/8/10

Improved fMRI-based pain prediction using Bayesian group-wise functional registration

Biostatistics

Guoqing Wang

Abhirup Datta

Martin A Lindquist

2023/10/6

A second dimension of somatosensory system injury? Thalamic volume loss and neuropathic pain in adults with cerebral palsy and periventricular white matter injury

Annals of the Child Neurology Society

Eric M Chin

Nicole Gorny

James J Pekar

Claudia M Campbell

Martin Lindquist

...

2023/12

Quantifying the Association between Objectively Measured Physical Activity and Multiple Sclerosis in the UK Biobank.

Medicine and Science in Sports and Exercise

Qier Meng

Erjia Cui

Andrew Leroux

Ellen M Mowry

Martin A Lindquist

...

2023/7/28

See List of Professors in Martin Lindquist University(Johns Hopkins University)