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Related Concept Videos

Resting Potential Decay01:15

Resting Potential Decay

The resting membrane potential of a neuron (-70mV) is sustained due to the selective ion permeability of the membrane. At the resting potential, the membrane is slightly permeable to ions like sodium (Na+) and chloride (Cl−) and highly permeable to potassium ions (K+). Differences in the ions' concentration inside the cell compared to the outside are maintained by membrane transport proteins like channels and pumps.
At rest, the K+ is the main ion that moves across the membrane through...
Resting Potential Decay01:15

Resting Potential Decay

The resting membrane potential of a neuron (-70mV) is sustained due to the selective ion permeability of the membrane. At the resting potential, the membrane is slightly permeable to ions like sodium (Na+) and chloride (Cl−) and highly permeable to potassium ions (K+). Differences in the ions' concentration inside the cell compared to the outside are maintained by membrane transport proteins like channels and pumps.
At rest, the K+ is the main ion that moves across the membrane through...

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Related Experiment Video

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Consistent resting-state networks across healthy subjects.

J S Damoiseaux1, S A R B Rombouts, F Barkhof

  • 1Department of Neurology, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands. j.damoiseaux@vumc.nl

Proceedings of the National Academy of Sciences of the United States of America
|September 2, 2006
PubMed
Summary

Resting-state functional MRI (fMRI) reveals consistent brain activity patterns across individuals. These baseline brain networks exhibit significant temporal dynamics, comparable to task-related activity.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Medical Imaging

Background:

  • Functional MRI (fMRI) assesses human brain functional connectivity.
  • Resting-state fMRI (rs-fMRI) captures baseline brain activity via blood oxygenation level-dependent (BOLD) signal fluctuations.
  • Consistency of identified resting-state networks across subjects and sessions requires quantification.

Purpose of the Study:

  • To evaluate and quantify the spatial consistency of resting-state brain networks identified using fMRI.
  • To characterize BOLD signal modulation and cross-subject variation in resting-state networks.
  • To investigate the temporal dynamics and functional relevance of baseline brain activity.

Main Methods:

  • Application of tensor probabilistic independent component analysis to resting-state fMRI data.
  • Utilizing a bootstrapping approach to quantify the consistency of identified patterns.
  • Estimation of BOLD amplitude modulation and voxel-wise cross-subject variation.

Main Results:

  • Identification of 10 consistent resting-state patterns with potential functional relevance.
  • Detected networks associated with motor, visual, executive, auditory, memory, and default-mode functions.
  • High mean BOLD signal areas demonstrated consistency and minimal variation, with signal changes up to 3%.

Conclusions:

  • Baseline brain activity is consistent across subjects, exhibiting significant temporal dynamics.
  • Resting-state network consistency is quantifiable, with high-signal regions showing the least variation.
  • BOLD signal changes in resting-state networks are comparable to those observed in task-related fMRI studies.