Subcortical network control energy

There are 2 papers on subcortical network control energy in aging research: 2 observational studies in people. The newest story, Nov 2, 2026: “Metabolic syndrome linked to altered brain energy estimates”.

Biomarker

2 papers study it2 findings

See all 2 papers on subcortical network control energy

“Severity of metabolic syndrome was associated with distinct, network-specific energetic alterations, including progressively increased subcortical control energy cost”
Metabolic syndrome severity and the energetic cost of brain network transitions: A normative modeling study of accelerated brain agingImaging neuroscience (Cambridge, Mass.)2026doi:10.1162/imag.a.1282
  • Humans2

Upstream

1

Age

upin humans1

1 study
  1. Age is linked with higher subcortical network control energy in humans (transition from default mode network activation to motor network activation).

    “the control energy of subcortical network most significantly increased with aging”

    Humanstransition from default mode network activation to motor network activationbrainn = 625

    Optimal Trajectories of Brain State Transitions Indicate Motor Function Changes Associated with Aging

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Associations

1

Metabolic syndrome

upin humans1

1 study
  1. Metabolic syndrome is associated with subcortical network control energy in humans.

    “Severity of metabolic syndrome was associated with distinct, network-specific energetic alterations, including progressively increased subcortical control energy cost”

    Humansbrainn = 25,697

    Metabolic syndrome linked to altered brain energy estimates

    Imaging neuroscience (Cambridge, Mass.)

More on Metabolic syndrome

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Dec 2025: 0Jan 2026: 0Feb 2026: 0Mar 2026: 0Apr 2026: 0May 2026: 0Jun 2026: 1Jul 2026: 0Aug 2026: 0Sep 2026: 0Oct 2026: 0Nov 2026: 01 paper in 12 months
Imaging Neuroscience

Metabolic syndrome linked to altered brain energy estimates

A cross-sectional analysis of 25,697 adults aged 40–70 linked metabolic syndrome severity to brain network energy profiles suggesting accelerated aging.A cross-sectional analysis of 25,697 adults aged 40–70 linked metabolic syndrome severity to brain network energy profiles suggesting accelerated aging.

Cross-sectional · 25,697 peopleMetabolic syndrome