PIPages
Labs

Guoshi Li

University of North Carolina at Chapel Hill, NC·Neuroscience

The brain works by balancing excitation, signals that make neurons fire, against inhibition, signals that quiet them. Animal studies and human brain scans suggest this excitation-inhibition (E-I) balance is disrupted in Alzheimer's disease (AD), the most common cause of dementia.

Fields

Neuroscience

Biomedical Engineering

Computer Science

Topics

Alzheimer's disease

dementia

excitation-inhibition balance

Grants
1 known grant, last ended Aug 2026

What they work on

  1. Predict which brain regions have disrupted excitation-inhibition balance in 3xTg-AD Alzheimer's model mice versus normal mice, by applying the Multiscale Neural Model Inversion (MNMI) framework to ZTE resting-state fMRI and diffusion MRI.
  2. Validate MNMI predictions at the individual and group level by recording E-I activity with fiber photometry, an implanted optical recording method, during simultaneous fMRI at four selected brain sites, refining the model where predictions deviate.
  3. Test whether E-I imbalance in 3xTg-AD mice is associated with cognitive impairment, using behavioral testing alongside the imaging and optical measurements.

More about the research

The imbalance could be both a cause of symptoms and a treatment target. But standard functional MRI (fMRI) brain scans cannot show E-I balance at the level of cells and circuits. The team has developed a computational approach called Multiscale Neural Model Inversion (MNMI). It works backward from noninvasive scans to estimate E-I balance in specific brain circuits.

Why it matters

A validated model that reads circuit-level E-I imbalance from routine, noninvasive MRI could support earlier diagnosis of Alzheimer's disease. It could also guide personalized treatments aimed at restoring brain balance during early intervention. The same framework could later be applied to study other neurological and psychiatric disorders.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Accurate and Individualized Prediction of Excitation-Inhibition Imbalance in Alzheimer's Disease using Data-driven Neural Model

NIH · Sep 2023 – Aug 2026

Closest labs

Jens H Jensen

Medical University of South Carolina, SC·Neuroscience

Determine whether diffusional kurtosis imaging (DKI), an MRI method that measures water movement in tissue, can track brain microstructure changes in 3xTg-AD mice treated with the drug P021 from 2 to 18 months of age.

Ruth Carper

San Diego State University, CA·Neuroscience

Track changes in brain anatomy, function and connectivity in autistic and typical adults aged 40–70 using multimodal MRI, and relate them to motor, executive and emotional changes.

Ai-Ling Lin

University of Missouri-Columbia, MO·Neuroscience

Identify how the severity of gut dysbiosis tracks over time with regional amyloid, tau and neurodegeneration markers and cognition in Alzheimer's patients and healthy controls, using PET, 7 Tesla MRI, gut microbiome sequencing and cognitive testing.

The school

University of North Carolina at Chapel Hill: 72 labs on PI Pages, $1.6B a year on research, 523 research doctorates a year.

More about University of North Carolina at Chapel Hill

Reach out

A start for your email. Fill in the brackets.