Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

From inflammation to neurodegeneration: an exploratory pilot study of a diagnostic framework for progression in MS.

Frontiers in neurology·2026
Same author

Ligustroflavone protects against acute kidney injury by inhibiting ferroptosis via acting on GSK3β/NRF2 signaling.

International journal of molecular medicine·2026
Same author

Individualized phenotyping of functional amyotrophic lateral sclerosis pathology in sensorimotor cortex.

Brain communications·2026
Same author

Effects of Multimodal and Unimodal Physical Training Interventions on Visual Function in Glaucoma and Elderly Controls - A Pilot Study.

Clinical ophthalmology (Auckland, N.Z.)·2026
Same author

Dysfunction of the episodic memory network in the Alzheimer's disease cascade.

Nature communications·2026
Same author

Phase-constrained zero-shot self-supervised learning for BLADE liver MRI reconstruction.

Magma (New York, N.Y.)·2026
Same journal

Benchmarking fMRI Denoising Pipelines.

Human brain mapping·2026
Same journal

Modeled Long-Term Effects of Psilocybin on Dynamic Activity and Effective Connectivity of Fronto-Striatal-Thalamic Circuits.

Human brain mapping·2026
Same journal

Intrinsic Functional Architecture Reflects Individual Differences in Passive Working Memory: An Exploratory Resting-State fMRI Study.

Human brain mapping·2026
Same journal

Symptom Overlap and Neurobiological Similarities Between Posttraumatic Stress Disorder and Tinnitus.

Human brain mapping·2026
Same journal

Test-Retest Reliability of Sensorimotor Activity Measured With Spinal Cord fMRI.

Human brain mapping·2026
Same journal

The Human Visual Claustrum Responses to Physical Stimulus Properties and Subjective Content During Movie Viewing.

Human brain mapping·2026
See all related articles

Related Experiment Video

Updated: Mar 1, 2026

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

13.3K

False fMRI activation after motion correction.

Renat Yakupov1, Juan Lei2,3,4, Michael B Hoffmann2,5

  • 1Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany.

Human Brain Mapping
|June 6, 2017
PubMed
Summary
This summary is machine-generated.

Retrospective motion correction in functional MRI (fMRI) can introduce errors, especially at ultra-high resolutions. Careful evaluation is needed to avoid false positives and negatives in brain activation maps.

Keywords:
EPIartifactsfMRImotion correctionprospective motion correction

More Related Videos

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.8K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.7K

Related Experiment Videos

Last Updated: Mar 1, 2026

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis
10:33

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

Published on: June 20, 2012

13.3K
Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease
09:38

Generalized Psychophysiological Interaction PPI Analysis of Memory Related Connectivity in Individuals at Genetic Risk for Alzheimer's Disease

Published on: November 14, 2017

15.8K
fMRI Validation of fNIRS Measurements During a Naturalistic Task
10:36

fMRI Validation of fNIRS Measurements During a Naturalistic Task

Published on: June 15, 2015

21.7K

Area of Science:

  • Neuroimaging
  • Magnetic Resonance Imaging (MRI)
  • Brain Imaging Analysis

Background:

  • Motion correction is crucial for functional MRI (fMRI) preprocessing.
  • Ultra-high resolution fMRI presents new challenges for motion correction accuracy.
  • Existing retrospective motion correction methods require systematic evaluation.

Purpose of the Study:

  • To systematically investigate the effects of retrospective motion correction on fMRI activation maps.
  • To identify and quantify confounding effects of retrospective motion correction algorithms.
  • To evaluate the dependence of motion correction effects on spatial resolution and algorithms.

Main Methods:

  • fMRI data acquired at ultra-high (0.65^3 mm^3) and standard (2.0^3 mm^3) resolutions at 7T.
  • Simultaneous prospective motion detection using optical moiré phase tracking (MPT).
  • Systematic evaluation of retrospective motion correction using FSL, AFNI, and SPM software packages.

Main Results:

  • Image-based motion detection (SPM8) can be erroneous in high-field fMRI with partial brain coverage.
  • Retrospective motion correction can introduce spurious motion, leading to false-positive and false-negative activation.
  • Limited acquisition field of view significantly influences the accuracy of motion correction.

Conclusions:

  • Retrospective motion correction requires careful validation, particularly at ultra-high resolutions.
  • Image-based motion correction methods may not be suitable for all fMRI acquisitions, especially with limited field of view.
  • Prospective motion detection combined with appropriate retrospective correction is essential for reliable fMRI analysis.