Schizophrenia Simulator: When Chemistry Upends Sanity’s Balance

Summary: Researchers have developed a model of schizophrenia that simulates chemical imbalances associated with memory disturbances.

Source: Georgia Institute of Technology.

Engineers simulate chemical imbalances in schizophrenia memory disturbance to fast-track research and treatment solutions.

It’s called mental imbalance for a reason. Sanity hangs, in part, in the gentle balance of chemicals strung together within regions of the brain in an intricate matrix.

In schizophrenia, the matrix is sharply jarred, debilitating the mind and triggering hallucinations. Now, researchers at the Georgia Institute of Technology have created an interactive model of that matrix to fast-track research and treatment of the tormenting disorder.

It uses massive amounts of research data to simulate major systemic chemical changes in the brains of schizophrenia sufferers but depicts them in simple, colorful graphics.

Clinicians could use it to help patients and their loved ones better understand the chemical underpinnings of the disease and therapeutic alternatives. And researchers could test out hypotheses virtually, quickly and easily, and get a better overall sense of the disease.

The forest, not the trees

Research on schizophrenia can be a bit compartmentalized.

“Most researchers study a disease from their own specialty’s focus and perspective. Then they may form a hypothesis based on dopamine or glutamate or some other single neurotransmitter,” said research engineer Zhen Qi from the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University. “Our model integrates all neurotransmitter systems.”

The research results have been published and are also to appear in print in the journal Biochimica et Biophysica Acta (BBA) – General Subjects. The work is funded by the National Institutes of Health, the National Science Foundation, and the Georgia Research Alliance.

Peace, love, dopamine

There are a handful of neurochemicals most people have already heard of in connection with mental well-being.

Who hasn’t read articles encouraging us all to eat more chocolate in hopes it will make us cheerier by boosting dopamine and serotonin?

“Dopamine triggers reward systems in the brain,” Qi said. “Illegal drugs like amphetamines work with it. Dopamine makes you feel good.”

Serotonin is subtler, and has mainly auxiliary functions. It sometimes counteracts dopamine’s effects. Norepinephrine is also well-known, though often mistakenly referred to as adrenalin (which is actually epinephrine).

Together with other substances, these neurotransmitters help regulate the activities of at least 11 regions of the brain to do things like orchestrating parts of consciousness, including what’s called “working memory.”

Daily dysfunction

Qi and his team built the computational model around the neurochemistry behind that cognitive function, which goes badly awry in schizophrenia.

Working memory is short-term recollection that lends the mind coherence. It remembers what we saw, said or did seconds ago and what we want to do seconds from now.

Hallucinations may be the eye-catching, popularized symptom of schizophrenia, but the disease’s impairment of working memory, though less attention-grabbing, arguably debilitates sufferers more.

“Working memory deficits disrupt storing and processing of information as basic as letters and numbers, and they hinder the recall of stored information,” Qi said. “That makes learning and planning difficult.”

Sorry, no drugs

The researchers found that there is a stark lack of medical treatment for this symptom.

“Cognitive symptoms were actually associated with schizophrenia before symptoms like hallucinations became the focus,” said Eberhard Voit, a Georgia Tech biomedical engineer and a Georgia Research Alliance eminent scholar, who supervised the modeling effort. “Yet, drugs for schizophrenia mainly target the latter symptoms.”

Image shows a schematic.
The simulator emulates the brain chemistry of the schizophrenia symptom that disrupts working memory. Data were mined on brain chemistry and regions they coordinate with. The data were then unified and run through differential equations before a program was constructed around them. image is credited to Zhen Qi / Georgia Tech.

Two neurotransmitters, glutamate and gamma-aminobutyric acid (GABA) are crucial to working memory, as they coordinate two brain regions, the dorsal prefrontal cortex and the basal ganglia.

Glutamate boosts nerve transmission, and GABA tones it down, and it’s important for the two to strike a balance. But other neurotransmitters associated with additional brain regions also tug at that balance.

The matrix cracked

They all hang together much like in a mobile over a baby’s crib. Bump one substance, and it knocks a whole system out of whack.

“Increasing the amount of any one neurotransmitter corresponds to pulling on that mobile. But this one neurotransmitter also affects all the other neurotransmitters through an interaction web,” Voit said. “The new state of the mobile is very difficult to foresee.”

This makes it challenging for a psychiatrist to adjust a patient’s prescriptions and predict what the overall effects might be. That’s where Qi’s and Voit’s computational model comes in.

Mind map

The Georgia Tech researchers collected studies on brain chemistry in schizophrenia from nearly 50 labs around the world, and mined the data.

To interpret them, they consulted researchers who have dedicated their lives to exploring schizophrenia and they fed the information into differential equations representing relationships between neurochemical systems.

They arrived at a novel map of the brain chemistry behind working memory dysfunction in schizophrenia. “That is new, this map. It reflects the collective knowledge of the scientific community,” Voit said.

“With the information assembled, we wrote code to implement this model,” Qi said. The result is a program of the neurochemical matrix that’s easy to use.

Playing with mobiles

Users can input varying levels of neurotransmitters, and the matrix model simulates the labyrinthine domino effects they have on each other. But the output to the user is much simpler, even playful.

“What the user sees is a mobile tilting back and forth,” Voit said. Color-coded dots on the mobile represent neurotransmitters. If doctors or researchers tug at one, the others follow until a new state is reached.

“The mobile looks simple, although it takes into account the underlying complex interactions among neurotransmitters that determine the nodes in the mobile,” Qi said.

With a few months’ work, a graphic user interface could be constructed to allow doctors and researchers to easily use Georgia Tech’s new computational model.

The more new research data other scientists add, the better Qi and Voit will be able to optimize the system and connect isolated pockets of knowledge from labs around the world to a greater whole for the greater good.

About this neuroscience research article

Funding: Gina Yu from Georgia Tech; Felix Tretter from the Bertalaniffy Center for the Study of Systems Science in Vienna, Austria; Oliver Pogarell from the University of Munich, and Anthony Grace from the University of Pittsburgh co-authored the paper. The research was funded by grants from the National Institutes of Health P01-ES016731, the National Science Foundation MCB-1517588 and an endowment from the Georgia Research Alliance. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsoring institutions.

Source: Ben Brumfield – Georgia Institute of Technology
Image Source: This image is credited to Zhen Qi / Georgia Tech.
Video Source: The video is credited to Georgia Tech.
Original Research: Abstract for “A heuristic model for working memory deficit in schizophrenia” by Zhen Qi, Gina P. Yu, Felix Tretter, Oliver Pogarell, Anthony A. Grace, and Eberhard O. Voit in Biochimica et Biophysica Acta (BBA) – General Subjects. Published online May 10 2016 doi:10.1016/j.bbagen.2016.04.031

Cite This Article

[cbtabs][cbtab title=”MLA”]Georgia Institute of Technology. “Schizophrenia Simulator: When Chemistry Upends Sanity’s Balance.” NeuroscienceNews. NeuroscienceNews, 4 August 2016.
<>.[/cbtab][cbtab title=”APA”]Georgia Institute of Technology. (2016, August 4). Schizophrenia Simulator: When Chemistry Upends Sanity’s Balance. NeuroscienceNew. Retrieved August 4, 2016 from[/cbtab][cbtab title=”Chicago”]Georgia Institute of Technology. “Schizophrenia Simulator: When Chemistry Upends Sanity’s Balance.” (accessed August 4, 2016).[/cbtab][/cbtabs]


A heuristic model for working memory deficit in schizophreniah


The life of schizophrenia patients is severely affected by deficits in working memory. In various brain regions, the reciprocal interactions between excitatory glutamatergic neurons and inhibitory GABAergic neurons are crucial. Other neurotransmitters, in particular dopamine, serotonin, acetylcholine, and norepinephrine, modulate the local balance between glutamate and GABA and therefore regulate the function of brain regions. Persistent alterations in the balances between the neurotransmitters can result in working memory deficits.


Here we present a heuristic computational model that accounts for interactions among neurotransmitters across various brain regions. The model is based on the concept of a neurochemical interaction matrix at the biochemical level and combines this matrix with a mobile model representing physiological dynamic balances among neurotransmitter systems associated with working memory.


The comparison of clinical and simulation results demonstrates that the model output is qualitatively very consistent with the available data. In addition, the model captured how perturbations migrated through different neurotransmitters and brain regions. Results showed that chronic administration of ketamine can cause a variety of imbalances, and application of an antagonist of the D2 receptor in PFC can also induce imbalances but in a very different manner.


The heuristic computational model permits a variety of assessments of genetic, biochemical, and pharmacological perturbations and serves as an intuitive tool for explaining clinical and biological observations.

General significance

The heuristic model is more intuitive than biophysically detailed models. It can serve as an important tool for interdisciplinary communication and even for psychiatric education of patients and relatives.


(5,7-DHT), 5,7-Dihydroxytryptamine; (PCP), Phencyclidine; (ACh), acetylcholine; (DA), dopamine; (DRN), dorsal raphe nucleus; (DLPFC), dorsolateral prefrontal cortex; (GABA), gamma-aminobutyric acid; (GPe), global pallidus external; (GPi), global pallidus internal; (Glu), glutamate; (LDT), laterodorsal tegmental nucleus; (LC), locus coeruleus; (mPFC), medial prefrontal cortex; (NE), norepinephrine; (ODEs), ordinary differential equations; (PFC), prefrontal cortex; (5-HT), serotonin; (SNpc), substantia nigra pars compacta; (STN), subthalamic nucleus; (VTA), ventral tegmental area.

“A heuristic model for working memory deficit in schizophrenia” by Zhen Qi, Gina P. Yu, Felix Tretter, Oliver Pogarell, Anthony A. Grace, and Eberhard O. Voit in Biochimica et Biophysica Acta (BBA) – General Subjects. Published online May 10 2016 doi:10.1016/j.bbagen.2016.04.031

Feel free to share this Neuroscience News.
Join our Newsletter
I agree to have my personal information transferred to AWeber for Neuroscience Newsletter ( more information )
Sign up to receive our recent neuroscience headlines and summaries sent to your email once a day, totally free.
We hate spam and only use your email to contact you about newsletters. You can cancel your subscription any time.