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J Cereb Blood Flow Metab October 2001 PMID 11598490

An energy budget for signaling in the grey matter of the brain.

D Attwell, S B Laughlin

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Mentions

31
Peak: 2 in Jul 2025
across 4 sources since Apr 2019

Extended reach

137,150
potential audience

Total likes

1,018

Video views

28,263

Mentions per month

Apr 2019 – Nov 2025

Where it's discussed

  • Blogs10 articles
  • News9 articles
  • X / Twitter8 posts
  • YouTube4 videos

AI synopsis

What people are saying

The discussions highlight the significance of Attwell and Laughlin's work, with posters referencing specific concepts like neural energy budgets, efficiency, and neuron density, using tones of curiosity and appreciation. Words like 'knowledge,' 'efficiency,' and 'estimates' underscore a collective interest in the implications of the research, indicating moderate yet meaningful engagement and recognition of the study’s influence.

AgreementModerate agreement

Most posters acknowledge and reference the foundational research by Attwell and Laughlin, showing general support for the study's significance.

InterestHigh interest

Discussions display high interest by linking the paper to broader topics like neural efficiency, energy costs, and implications for neuroscience.

EngagementModerate engagement

Posts demonstrate moderate engagement through referencing related research, sharing insights, and contextualizing findings within neural coding and energy efficiency.

ImpactModerate impact

Posts recognize the study's importance in understanding brain energetics, which could influence future research and technological approaches.

Abstract in brief

  • The study analyzes how the brain's grey matter uses energy for different signaling activities, finding that action potentials and glutamate effects consume most of this energy while resting potential and recycling use less.
  • Energy consumption increases significantly with neuron activity levels, suggesting that the brain favors energy-efficient neural codes and wiring patterns, such as having only about 15% of neurons active at once.
  • Thus, functional MRI signals mainly reflect energy changes from synaptic currents and action potentials, linking brain activity to its energy use.
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Top posts

Most liked on X and Bluesky
thmonk
@thmonk_pf · X

【参考】 脳組織のenergy costの内訳の概算 OA #EB_balance #energy_cost #papers https://t.co/A3yY5YSred https://t.co/uTS1RiC71u

Oct 30, 2024 · 3 likes · 1,645 followers View post →
Ahmed El Hady
@zamakany · X

@BaselessPursuit @neuro_data check out https://t.co/No7gI5i6fu and the work of David Attwell and Simon Laughlin .

Dec 4, 2019 · 1 like · 2,810 followers View post →
Matt Krause
@prokraustinator · X

@JonSmithOfDoom @ID_AA_Carmack Attwell and Laughlin did this and ended up estimating ~4 Hz in this paper from 2001. https://t.co/0veA265QBL However, mammalian neurons are a bit more efficient than squid (the source of early data), so the updated number is slightly higher.

Jul 7, 2020 · 1 like · 1,068 followers View post →
lkr
@d_mntr · X

@docmilanfar @YiMaTweets Sparsity seems to be a consequence of energy efficient neural codes in biological systems.https://t.co/K5n0f5lIxM

Jul 18, 2025 · 1 like · 12 followers View post →
The Mental Elf
@Mental_Elf · X

The energy budget - increased density of neurons takes up 74% of ATP use... https://t.co/VfWfhEGbNH ...and glucose metabolism https://t.co/cYnKG4LD1I #BAP2024

Jul 23, 2024 · 99,251 followers View post →
James V Stone
@jgvfwstone · X

@DrTomFroese @ineshipolito We know how much energy is used for different aspects of brain function (eg synaptic transmission). I'm sure you know papers like this: Attwell, D and Laughlin, SB. An energy budget for signaling in the grey matter of the brain. J Cereb Blood Flow and Metab,21(10):1133–1145, 2001

Jul 27, 2025 · 2,422 followers View post →

All mentions

James V Stone
@jgvfwstone · X

@DrTomFroese @ineshipolito We know how much energy is used for different aspects of brain function (eg synaptic transmission). I'm sure you know papers like this: Attwell, D and Laughlin, SB. An energy budget for signaling in the grey matter of the brain. J Cereb Blood Flow and Metab,21(10):1133–1145, 2001

Jul 27, 2025 · 2,422 followers View post →
lkr
@d_mntr · X

@docmilanfar @YiMaTweets Sparsity seems to be a consequence of energy efficient neural codes in biological systems.https://t.co/K5n0f5lIxM

Jul 18, 2025 · 1 like · 12 followers View post →
thmonk
@thmonk_pf · X

【参考】 脳組織のenergy costの内訳の概算 OA #EB_balance #energy_cost #papers https://t.co/A3yY5YSred https://t.co/uTS1RiC71u

Oct 30, 2024 · 3 likes · 1,645 followers View post →
The Mental Elf
@Mental_Elf · X

The energy budget - increased density of neurons takes up 74% of ATP use... https://t.co/VfWfhEGbNH ...and glucose metabolism https://t.co/cYnKG4LD1I #BAP2024

Jul 23, 2024 · 99,251 followers View post →
royhanism
@Roychanikhwnul · X

Sumber: Attwell, D. & Laughlin, S. B. 2001. An Energy Budget for Signaling in the Grey Matter of the Brain.

Nov 19, 2022 · 328 followers View post →
Matt Krause
@prokraustinator · X

@JonSmithOfDoom @ID_AA_Carmack Attwell and Laughlin did this and ended up estimating ~4 Hz in this paper from 2001. https://t.co/0veA265QBL However, mammalian neurons are a bit more efficient than squid (the source of early data), so the updated number is slightly higher.

Jul 7, 2020 · 1 like · 1,068 followers View post →
Ahmed El Hady
@zamakany · X

@BaselessPursuit @neuro_data check out https://t.co/No7gI5i6fu and the work of David Attwell and Simon Laughlin .

Dec 4, 2019 · 1 like · 2,810 followers View post →
JCBFM
@_JCBFM · X

An Energy Budget for Signaling in the Grey Matter of the #Brain https://t.co/L9GHBBa9v1 #review #throwback #mostread https://t.co/NwurCYxdba

Apr 23, 2019 · 1,352 followers View post →