Summary:
A newly launched study brings together 26 labs across the US and Europe to quantify the exact metabolic cost of neural computation. Over a 10-year initiative, researchers will investigate how energy constraints shape brain circuits and behavior, solving mysteries such as why active brains shift toward fast, inefficient glycolysis and how glia and neuromodulators support neurons during intense cognitive demand or oxygen deprivation.
Key Facts:
- Quantifying the Neural Energy Budget: Spanning 26 laboratories across the United States and Europe, SCOBE aims to provide the first quantitative accounting of adenosine triphosphate (ATP) consumption across spatial scales, from single molecules to large-scale neural circuits.
- The Glycolysis Speed-vs.-Efficiency Paradox: During intense cognitive tasks, the brain consumes excess glucose via rapid, oxygen-independent glycolysis rather than relying solely on high-yield mitochondrial respiration, a shift potentially driven by speed requirements, glial glycogen support, or norepinephrine signaling.
- Implications for Stroke and Cardiac Arrest: Decoding how neurons survive and recover from capillary stoppages and oxygen deprivation could transform emergency resuscitation medicine and reveal why microvascular dysfunction accelerates neurodegenerative diseases.
Source: Boston University / Simons Foundation
Constructing a house without knowing the cost of materials, labor, or individual rooms would make architectural planning impossible. Yet for decades, neuroscientists attempting to decode how the brain processes information have operated without a quantitative metabolic blueprint. While researchers have mapped neural wiring and electrical firing patterns in exquisite detail, the exact energetic cost of thought, how much fuel the brain produces, distributes, and burns to execute specific computations, has remained largely unquantified.
To establish this foundational accounting, the Simons Foundation has launched the Simons Collaboration on Brain Energetics (SCOBE), an ambitious, decade-long international consortium uniting 26 laboratories across the United States and Europe.
Co-led by Dr. Anna Devor, professor of biomedical engineering at Boston University College of Engineering, and Dr. Tom Clandinin, professor of neurobiology at Stanford University, the initiative seeks to determine how strict bioenergetic limits govern neural computation from individual molecules up to whole-brain behavior.
The ATP Currency of Thought
“There are lots of really cool energetics questions, but most of them are completely unanswered,” explained Dr. Devor, whose Boston University laboratory will receive $3.2 million over the next ten years as part of the program. “For example, nobody understands how the brain’s computational principles are constrained by the availability of energetic resources and how that works.”
Every electrical impulse, synaptic release, and molecular pump in the central nervous system runs on adenosine triphosphate (ATP), the universal energy currency of living cells. Despite its fundamental role, neurobiology lacks a precise mathematical ledger detailing how much ATP different types of neural networks require to store memories, process sensory inputs, or make decisions.
“Energetics is everything,” Devor emphasized. “Our basic brain activity cannot happen unless the brain utilizes ATP, and we don’t really understand and don’t have a quantitative account of how much ATP different types of computations in the brain utilize.”
Solving the Brain’s Metabolic Paradox
One of the central mysteries SCOBE investigators will tackle is a metabolic shift known as aerobic glycolysis. Under baseline resting conditions, brain cells burn glucose efficiently using oxygen inside mitochondria—the cell’s high-yield power stations. However, the moment neurons become actively engaged in a demanding cognitive task, the brain abruptly begins consuming far more sugar than can be oxidized by mitochondria, routing glucose through rapid, mitochondria-independent glycolysis.
Devor highlights two primary hypotheses driving this phenomenon:
- Trading Efficiency for Speed: Although glycolysis generates significantly less ATP per molecule of glucose than mitochondrial respiration, its biochemical reactions run much faster. When neural circuits require rapid bursts of power, the brain may deliberately sacrifice metabolic efficiency for immediate energy delivery.
- The Glial Support Network: Alternatively, this excess glucose uptake may be driven by non-neuronal glial cells, particularly astrocytes, which store energy reserves as glycogen and shuttle lactate or metabolic substrates to support hardworking neurons when energy demand spikes.
“These ideas are not new, but testing it experimentally requires new research tools and quantitative models. Our SCOBE consortium is perfectly positioned to deliver both,” Devor noted.
Furthermore, the team will investigate the upstream chemical switches that turn up this metabolic dial during moments of focus and alertness. Researchers suspect that norepinephrine, a neuromodulator closely related to adrenaline that heightens arousal and cognitive acuity, directly triggers rapid glycolysis upregulation to meet sudden computational loads.
From Microstrokes to Resuscitation Medicine
Because the brain lacks substantial internal fuel reserves, it depends on continuous vascular delivery of glucose and oxygen. Consequently, even microscopic disruptions, such as blood flow stoppages in single capillaries, can starve local neurons. Such capillary dysfunction and silent microstrokes are pervasive features of biological aging and neurodegenerative disorders like Alzheimer’s disease.
Paradoxically, clinical and experimental studies have also documented remarkable instances where neurons recover full cellular function following prolonged periods of oxygen deprivation, suggesting the brain possesses hidden metabolic survival mechanisms that remain poorly understood.
Unraveling these residual metabolic pathways could yield major breakthroughs in emergency medicine, guiding improved neuroprotective protocols for resuscitation following cardiac arrest or acute ischemic stroke.
Backed by the Simons Foundation’s 10-year funding horizon, double the duration of standard federal grants, and dedicated high-performance computational infrastructure to share massive neurophotonic imaging datasets across partner labs in the U.S., Norway, and Austria, SCOBE aims to build the first comprehensive energetic blueprint of the thinking brain.
Questions and Answers
What is the Simons Collaboration on Brain Energetics (SCOBE)?
SCOBE is a 10-year international research consortium comprising 26 labs across the US and Europe, co-led by Anna Devor (Boston University) and Tom Clandinin (Stanford University). Its goal is to quantify the exact energy (ATP) costs of brain computation from the molecular level up to complex behavior.
Why does the brain switch to inefficient energy production when thinking hard?
During active cognitive tasks, the brain consumes extra sugar using glycolysis, a process that yields less ATP per sugar molecule than mitochondria, but operates much faster. Researchers are testing whether the brain trades efficiency for speed, or whether supportive glial cells consume this sugar to fuel active neurons.
How could mapping brain energetics improve medical treatments?
Understanding how brain cells produce energy and survive temporary oxygen shortages could lead to better treatments for stroke, microvascular aging, and neurodegenerative diseases, while improving emergency resuscitation strategies after cardiac arrest.
Editorial Notes:
- This article was edited by a Neuroscience News editor.
- Journal paper will be reviewed in full upon release.
- Additional context added by our staff.
About this autism Research:
- Media Contact: Braden Murray
- Source: Boston University
- Image Credit: Image credited to Neuroscience News
