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Related Experiment Video

Updated: Jul 17, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
13:20

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

Published on: December 5, 2025

Frontoparietal control-default mode connectivity predicts TMS effects on cognitive control.

Brian Kim1, John D Medaglia1,2

  • 1Department of Applied Cognitive and Brain Sciences, Drexel University, Philadelphia, PA, United States.

Imaging Neuroscience (Cambridge, Mass.)
|July 16, 2026
PubMed
Summary

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Enhancing cognitive control with transcranial magnetic stimulation in subject-specific frontoparietal networks.

Cortex; a journal devoted to the study of the nervous system and behavior·2024

Individual brain network connectivity influences Transcranial Magnetic Stimulation (TMS) effectiveness for cognitive control. Tailoring TMS to individual network profiles, specifically Lateral Frontoparietal (L-FPN) and Medial Frontoparietal (M-FPN) interactions, optimizes cognitive enhancement.

Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuromodulation

Background:

  • Transcranial Magnetic Stimulation (TMS) shows potential for enhancing cognitive control, but individual outcomes vary.
  • Individual differences in brain network interactions, particularly between the Lateral Frontoparietal Control Network (L-FPN) and Medial Frontoparietal Default Network (M-FPN), may explain inconsistent TMS effects.
  • These networks are crucial for managing internal distractions and supporting cognitive control.

Purpose of the Study:

  • To investigate whether baseline connectivity between the L-FPN and M-FPN moderates the effects of TMS on cognitive control tasks.
  • To assess the utility of the generalized drift rate as a reliable behavioral index for cognitive control.
  • To determine if individualized network-based stimulation targets improve TMS efficacy.
Keywords:
DDMLFPN/MFPN connectivityTMScognitive controlindividual differenceslatent factor analysisneuromodulation

More Related Videos

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
11:02

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

Related Experiment Videos

Last Updated: Jul 17, 2026

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance
13:20

Online Repetitive Transcranial Magnetic Stimulation of Dorsomedial and Dorsolateral Prefrontal Cortex in Cognition Decision Making, and Cognitive Dissonance

Published on: December 5, 2025

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network
11:02

Combining Transcranial Magnetic Stimulation and fMRI to Examine the Default Mode Network

Published on: December 28, 2010

Main Methods:

  • Participants underwent intermittent theta-burst stimulation (iTBS) targeting the L-FPN, dorsal frontoparietal attention network (D-FPN), or vertex.
  • Cognitive control was measured using inhibition, working memory, and flexibility tasks before and after stimulation.
  • Resting-state functional connectivity was analyzed to characterize L-FPN and M-FPN interactions, with stimulation sites individualized using precise network mapping.

Main Results:

  • Baseline L-FPN/M-FPN connectivity significantly moderated TMS outcomes.
  • Individuals with more integrated L-FPN/M-FPN networks showed greater cognitive benefits from L-FPN stimulation.
  • Conversely, individuals with more segregated networks exhibited enhanced cognitive performance following D-FPN stimulation.

Conclusions:

  • Individualized brain network profiles are critical for predicting and optimizing TMS responses in cognitive control.
  • L-FPN/M-FPN interactions serve as a key factor for personalized neuromodulation strategies.
  • Combining precise network mapping with robust behavioral modeling is essential for advancing TMS interventions.