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 Experiment Videos

Predicting human functional maps with neural net modeling.

B Horwitz1, M A Tagamets

  • 1Language Section, Voice, Speech and Language Branch, National Institute on Deafness and Other Communication Disorders, National Institutes of Health, Bethesda, Maryland 20892, USA. horwitz@helix.nih.gov

Human Brain Mapping
|October 19, 1999
PubMed
Summary
This summary is machine-generated.

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

Neural modeling and functional neuroimaging.

Human brain mapping·2014
Same author

Regional brain activity when selecting a response despite interference: An H2 (15) O PET study of the stroop and an emotional stroop.

Human brain mapping·2014
Same author

Does frontal cortex hypometabolism in progressive supranuclear palsy result from subcortical dysfunction?

European journal of neurology·2013
Same author

Dissociation of object and spatial vision in human extrastriate cortex: age-related changes in activation of regional cerebral blood flow measured with [(15) o]water and positron emission tomography.

Journal of cognitive neuroscience·2013
Same author

Functional Associations among Human Posterior Extrastriate Brain Regions during Object and Spatial Vision.

Journal of cognitive neuroscience·2013
Same author

Age-related changes in the neural correlates of degraded and nondegraded face processing.

Cognitive neuropsychology·2010
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

Interpreting brain imaging signals like PET and fMRI is challenging. This study proposes neurobiologically realistic models to better link hemodynamic signals to neural activity for improved understanding.

Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Neuroimaging

Background:

  • Interpreting hemodynamic signals from positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) in relation to neural activity presents significant challenges.
  • Limitations include spatial and temporal resolution issues, and difficulties in relating single-unit electrode measurements of neuronal action potentials to hemodynamic signals reflecting synaptic activity.
  • Regional hemodynamic measurements often represent a mix of local and afferent synaptic activity, complicating direct interpretation.

Purpose of the Study:

  • To propose a novel approach for overcoming the interpretational difficulties of hemodynamic signals in neuroimaging.
  • To introduce the use of large-scale, neurobiologically realistic models for simulating and cross-validating data across multiple spatial and temporal scales.
  • To demonstrate the utility of this modeling approach using a delayed match-to-sample visual task.

Related Experiment Videos

Main Methods:

  • Development of large-scale, neurobiologically realistic computational models.
  • Simulation of neural and hemodynamic activity within these models.
  • Cross-validation of simulated data with empirical findings from functional neuroimaging and electrophysiology.
  • Utilizing a delayed match-to-sample visual task as a case study.

Main Results:

  • The proposed modeling framework allows for the simulation of hemodynamic signals at various spatial and temporal resolutions.
  • The models facilitate the cross-validation of data across different levels of analysis, bridging the gap between electrophysiology and neuroimaging.
  • The delayed match-to-sample task simulation demonstrated the model's capability to replicate observed brain activity patterns.

Conclusions:

  • Large-scale neurobiologically realistic models offer a powerful tool to surmount the interpretational challenges of PET and fMRI hemodynamic signals.
  • This approach enables a more robust integration of data from diverse methodologies, enhancing our understanding of the neural basis of cognition.
  • The proposed framework holds promise for advancing the field of cognitive neuroscience and neuroimaging research.