The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index; 12 of the 59 sources its claims cite were checked for support.
Metabolic costs and evolutionary implications of human brain development
Open accessAbstract
The high energetic costs of human brain development have been hypothesized to explain distinctive human traits, including exceptionally slow and protracted preadult growth. Although widely assumed to constrain life-history evolution, the metabolic requirements of the growing human brain are unknown. We combined previously collected PET and MRI data to calculate the human brain's glucose use from birth to adulthood, which we compare with body growth rate. We evaluate the strength of brain-body metabolic trade-offs using the ratios of brain glucose uptake to the body's resting metabolic rate (RMR) and daily energy requirements (DER) expressed in glucose-gram equivalents (glucosermr% and glucoseder%). We find that glucosermr% and glucoseder% do not peak at birth (52.5% and 59.8% of RMR, or 35.4% and 38.7% of DER, for males and females, respectively), when relative brain size is largest, but rather in childhood (66.3% and 65.0% of RMR and 43.3% and 43.8% of DER). Body-weight growth (dw/dt) and both glucosermr% and glucoseder% are strongly, inversely related: soon after birth, increases in brain glucose demand are accompanied by proportionate decreases in dw/dt. Ages of peak brain glucose demand and lowest dw/dt co-occur and subsequent developmental declines in brain metabolism are matched by proportionate increases in dw/dt until puberty. The finding that human brain glucose demands peak during childhood, and evidence that brain metabolism and body growth rate covary inversely across development, support the hypothesis that the high costs of human brain development require compensatory slowing of body growth rate.
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12 of 59 cited sources checked · 6 supported · 1 flagged · accuracy not yet measured
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“pointing to an important role of aerobic glycolysis in support of synaptic proliferation and growth (28,30).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Supportedcites [28] 28. Goyal MS, Hawrylycz M, Miller JA, Snyder AZ, Raichle ME (2014) Aerobic glycolysis in the human brain is associated with development and neotenous gene expression. Cell Metab 19(1):49-57. source
The Discussion states that aerobic glycolysis correlates with gene expression related to synapse formation and neurite growth, and suggests that it provides biosynthetic support for those processes. This supports the citing sentence’s inference of an important role, while the paper notes that its findings do not establish causation. (LLM, conf=0.90)
- Not checked — no full text of the sourcecites [30] 30. Bauernfeind AL, et al. (2014) Aerobic glycolysis in the primate brain: Reconsidering the implications for growth and maintenance. Brain Struct Funct 219(4):1149-1167. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
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In the paper
“This shift in the social context of human child rearing, occurring together with a protracted postnatal development of cortical connectivity (54,55), likely created new opportunities for imitative learning and cumulative, intergenerational development of cultural traditions to become central features of the human adaptive complex (56,57).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Supportedcites [54] 54. Miller DJ, et al. (2012) Prolonged myelination in human neocortical evolution. Proc Natl Acad Sci USA 109(41):16480-16485. source
Split into 2 atoms — 2 confirmed, 0 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [55] 55. Bufill E, Agustí J, Blesa R (2011) Human neoteny revisited: The case of synaptic plas- ticity. Am J Hum Biol 23(6):729-739. source
- Partly supportedcites [56] 56. Boyd R, Richerson PJ, Henrich J (2011) The cultural niche: Why social learning is es- sential for human adaptation. Proc Natl Acad Sci USA 108(Suppl 2):10918-10925. sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 1 unverifiable. Expand the claim to see per-atom verdicts.
- Not checked — no full text of the sourcecites [57] 57. Hill K, Barton M, Hurtado AM (2009) The emergence of human uniqueness: Charac- ters underlying behavioral modernity. Evol Anthropol 18(5):187-200. source
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In the paper
“suggesting an important role for childhood energetics and substrate availability in diabetes development (62,63).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [62] 62. Ong KK (2006) Size at birth, postnatal growth and risk of obesity. Horm Res 65:(Suppl 3):65-69. source
- Partly supportedcites [63] 63. Norris SA, et al.; COHORTS Group (2012) Size at birth, weight gain in infancy and childhood, and adult diabetes risk in five low-or middle-income country birth co- horts. Diabetes Care 35(1):72-79. sourceExperimental — accuracy not yet measured
The Conclusions (no page provided) link lower birth weight and accelerated weight gain after 48 months with adult glucose intolerance, supporting a role for early growth patterns in diabetes risk. The paper did not measure childhood energetics or substrate availability directly, and it found no increased glucose-intolerance risk from greater infant or early-childhood weight gain. (LLM, conf=0.82)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIn the paper
“and when the energetic buffer of body fat stores are near their lifetime nadir (18).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [18] 18. Kuzawa CW (1998) Adipose tissue in human infancy and childhood: An evolutionary perspective. Am J Phys Anthropol 107(Suppl 27):177-209. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The relationships that we document between age changes in brain glucose demands and body-weight growth rate are particularly striking in males, who maintain these inverse linear trends despite experiencing threefold changes in brain glucose demand and body growth rate between 6 mo and 13 y of age.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Body-weight growth (dw/dt) and both glucose rmr% and glucose der% are strongly, inversely related: soon after birth, increases in brain glucose demand are accompanied by proportionate decreases in dw/dt.”
§ Metabolic costs and evolutionary implications of human brain development > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In females, an earlier onset of pubertal weight gain leads to earlier deviations from similar linear inverse relationships.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In the modern human sample evaluated here, an average gram of brain tissue at 4 y uses more than 2.5-times the glucose of a gram of brain at birth (see data in SI Appendix, Tables S1 and S2).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“we find a more complex pattern of substrate tradeoff.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“then rises to a lifetime peak of 66.3% and 65.0% of RMR by 4.2-4.4y”
§ Metabolic costs and evolutionary implications of human brain development > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 12
- It may state two separate claims as one. 20
- The quote only partly states this claim. 1
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“Studies report interactions between fetal undernutrition or small birth size and childhood weight gain as predictors of diabetes risk”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [62] 62. Ong KK (2006) Size at birth, postnatal growth and risk of obesity. Horm Res 65:(Suppl 3):65-69. source
- Disputedcites [63] 63. Norris SA, et al.; COHORTS Group (2012) Size at birth, weight gain in infancy and childhood, and adult diabetes risk in five low-or middle-income country birth co- horts. Diabetes Care 35(1):72-79. sourceExperimental — accuracy not yet measured
The Results section, “SGA and the associations of weight gain with outcomes” (page unavailable), directly tested whether small-for-gestational-age status or birth weight interacted with conditional weight gain. It found no significant interactions at any age. The paper reports birth weight and later weight gain as separate risk factors, not interacting predictors. (LLM, conf=0.91)
Checked by a reasoning model — may be wrong.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Rudimentary hunting and gathering economies appeared with the emergence of the genus Homo and are believed to have been important in supporting early brain expansion (49)(50)(51).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [49] 49. Bunn H (2006) Meat made us human. Evolution of the Human Diet: The Known, the Unknown, and the Unknowable, ed Unger P (Oxford Univ Press, New York), pp 191-211. source
- Supportedcites [50] 50. Plummer T (2004) Flaked stones and old bones: Biological and cultural evolution at the dawn of technology. Am J Phys Anthropol 125(Suppl 39):118-164. source
The ‘Bridging Subsistence and Sociality’ section describes early Homo foraging that included hunting or scavenging and plant foods, and links its first major increase in cranial capacity possibly to more animal tissue in the diet. The Conclusions identify meat and nutrient-dense plant foods as the likely diet fueling brain expansion in Homo. Page numbers are unavailable in our copy. (LLM, conf=0.87)
- Not checked — no full text of the sourcecites [51] 51. Pobiner BL, Rogers MJ, Monahan CM, Harris JW (2008) New evidence for hominin carcass processing strategies at 1.5 Ma, Koobi Fora, Kenya. J Hum Evol 55(1):103-130. source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Data on dental eruption point to coevolution between brain expansion and maturational delay (45,46), with a fully modern pattern of delayed physical growth not emerging until the origin of anatomically modern humans (47,48).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [45] 45. Dean MC, Lucas VS (2009) Dental and skeletal growth in early fossil hominins. Ann Hum Biol 36(5):545-561. source
- Not checked — no full text of the sourcecites [46] 46. Dean C, et al. (2001) Growth processes in teeth distinguish modern humans from Homo erectus and earlier hominins. Nature 414(6864):628-631. source
- Partly supportedcites [47] 47. Smith TM, et al. (2007) Earliest evidence of modern human life history in North African early Homo sapiens. Proc Natl Acad Sci USA 104(15):6128-6133. sourceExperimental — accuracy not yet measured
The Abstract identifies a 160,000-year-old early H. sapiens juvenile as the oldest-known Homo specimen with dental development more similar to modern humans than to earlier Homo. But it explicitly says when the prolonged modern human developmental pattern originated is unknown. The paper therefore supports evidence of delayed development in early H. sapiens, not the categorical claim that it first emerged with anatomically modern humans. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [48] 48. Smith TM, et al. (2010) Dental evidence for ontogenetic differences between modern humans and Neanderthals. Proc Natl Acad Sci USA 107(49):20923-20928. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Recent work shows that glucose uptake outpaces oxygen use in the human brain, and that this imbalance also peaks at the age of greatest glucose uptake in childhood”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Supportedcites [28] 28. Goyal MS, Hawrylycz M, Miller JA, Snyder AZ, Raichle ME (2014) Aerobic glycolysis in the human brain is associated with development and neotenous gene expression. Cell Metab 19(1):49-57. source
The Results section’s meta-analysis reports that brain glucose consumption exceeds the amount expected from oxygen consumption and that this excess peaks around age 5, when total glucose consumption is also highest. The Methods section explains that oxygen consumption was converted to its glucose equivalent for this comparison; the claim is not comparing the raw quantities in different units. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites [30] 30. Bauernfeind AL, et al. (2014) Aerobic glycolysis in the primate brain: Reconsidering the implications for growth and maintenance. Brain Struct Funct 219(4):1149-1167. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“These patterns suggest that peak brain glucose uptake during childhood reflects neuronal plasticity in the cerebral cortex (32), which involves overproliferation of energetically costly dendritic arbors and synapses before activity-dependent pruning (33,34).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [32] 32. Chugani HT, Phelps ME, Mazziotta JC (1987) Positron emission tomography study of human brain functional development. Ann Neurol 22(4):487-497. source
- Partly supportedcites [33] 33. Petanjek Z, et al. (2011) Extraordinary neoteny of synaptic spines in the human pre- frontal cortex. Proc Natl Acad Sci USA 108(32):13281-13286. sourceExperimental — accuracy not yet measured
The opening section (p. 1) describes initially overproduced cortical synapses followed by activity-dependent selective elimination, and reports that prefrontal dendritic spine density in childhood is two to three times adult levels. It does not establish overproliferation of dendritic arbors or describe these structures as energetically costly. The glucose-uptake interpretation is attached to citation (32), not to this source's citation (33 or 34). (LLM, conf=0.87)
- Not checked — no full text of the sourcecites [34] 34. Huttenlocher PR (1979) Synaptic density in human frontal cortex -Developmental changes and effects of aging. Brain Res 163(2):195-205. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Pontzer et al. (43) recently showed that humans and other primates have reduced TEEs for their body sizes, despite having basal metabolic rates (BMRs) consistent with those of other mammals.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Supportedcites [43] 43. Pontzer H, et al. (2014) Primate energy expenditure and life history. Proc Natl Acad Sci USA 111(4):1433-1437. source
The Results and Discussion report that primate TEE was about half that expected for body mass, while primate BMR was similar to that of other placental mammals. The same section notes marginally lower BMR in strepsirrhines, and the Submission PDF states that humans fit the low-TEE primate pattern. (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“An additional limitation is that our analyses are based on cross-sectional brain and body-weight data, which pool fast-and slow-maturing individuals; this pooling can attenuate the apparent magnitude of the pubertal growth spurt while also obscuring the variable timings of its onset (65).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Partly supportedcites [65] 65. Tanner JM, Whitehouse RH (1976) Clinical longitudinal standards for height, weight, height velocity, weight velocity, and stages of puberty. Arch Dis Child 51(3):170-179. sourceExperimental — accuracy not yet measured
The paper’s Abstract (page not supplied) says cross-sectional standards can mislead because some children have adolescent growth spurts early and others late, supporting the concern that pooling obscures individual timing. It also says the difference from longitudinal standards is especially marked for growth velocity, but does not state that pooling attenuates the apparent magnitude of the spurt. The citing authors’ description of their own brain and body-weight data is not a finding attributed to this source. (LLM, conf=0.82)
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Although normative data on developmental changes in insulin sensitivity during child development are lacking (64)”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Supportedcites [64] 64. Levy-Marchal C, et al.; ESPE-LWPES-ISPAD-APPES-APEG-SLEP-JSPE; Insulin Resistance in Children Consensus Conference Group (2010) Insulin resistance in children: Con- sensus, perspective, and future directions. J Clin Endocrinol Metab 95(12):5189-5198. source
In the section headed “2. Insulin resistance is a continuum” (page unavailable), the paper says cohort sizes are insufficient to establish normative distributions for insulin sensitivity in children. It also says separate standards would need to be developed for different pubertal stages, supporting the claim that normative developmental data are lacking. (LLM, conf=0.87)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These values represent 1.88-and 1.82-times the daily glucose use of the brain in adulthood”
§ Metabolic costs and evolutionary implications of human brain development > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesThe quote only partly states this claim.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Very similar results were obtained when brain glucose was evaluated in relation to DER”
§ Metabolic costs and evolutionary implications of human brain development > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
In the paper
“The childhood peak in brain glucose uptake is greatest in the cerebrum, and less pronounced in the brainstem and cerebellum (32).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [32] 32. Chugani HT, Phelps ME, Mazziotta JC (1987) Positron emission tomography study of human brain functional development. Ann Neurol 22(4):487-497. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Starting at 6 mo, each increase in glucose rmr% is matched by a proportionate decrease in dw/dt, with peak glucose rmr% and the trough of dw/dt cooccurring.”
§ Metabolic costs and evolutionary implications of human brain development > Results
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“when the glucose used by the brain comprises the equivalent of 66% of the body's RMR, and roughly 43% of total expenditure.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In males and females, respectively, total brain glucose uptake is the equivalent of 52.5% and 59.8% of RMR at birth”
§ Metabolic costs and evolutionary implications of human brain development > Results
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Adult glucose rmr% was 19.1% and 24.0% whereas glucose der% was 10.9% and 15.0% in males and females, respectively.”
§ Metabolic costs and evolutionary implications of human brain development > Results
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“before rising to peak levels of 43.3% at 3.8 y (males) and 43.8% at 4 y (females)”
§ Metabolic costs and evolutionary implications of human brain development > Results
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both glucose rmr% and glucose der% decline in the first halfyear as a fast but decelerating pace of body growth established in utero initially outpaces postnatal increases in brain metabolism.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“A shift to calorically dense and easily digested foods, and greater food sharing among social groups, would have increased the nutritional quality and stability of the diet (14,15,20).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [14] 14. Foley RA, Lee PC (1991) Ecology and energetics of encephalization in hominid evo- lution. Philos Trans R Soc Lond B Biol Sci 334(1270):223-231, discussion 232. source
- Not checked — no full text of the sourcecites [15] 15. Leonard WR, Robertson ML (1992) Nutritional requirements and human evolution: A bioenergetics model. Am J Hum Biol 4(2):179-195. source
- Not checked — no full text of the sourcecites [20] 20. Aiello LC, Wheeler P (1995) The expensive-tissue hypothesis: The brain and the di- gestive system in human and primate evolution. Curr Anthropol 36(2):199-221. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In macaques the period of peak synaptic density occurs during infancy, whereas in humans and chimpanzees peak synaptic densities take place during the midjuvenile or (in humans) childhood period (44).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [44] 44. Bianchi S, et al. (2013) Synaptogenesis and development of pyramidal neuron den- dritic morphology in the chimpanzee neocortex resembles humans. Proc Natl Acad Sci USA 110(Suppl 2):10395-10401. source
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Whereas past attempts to quantify the contribution of the brain to the body's metabolic expenditure suggested that the brain accounted for a continuously decreasing fraction of RMR as the brain-to-body weight ratio declined with age (25,31)”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [25] 25. Holliday MA (1986) Body composition and energy needs during growth. Human Growth: A Comprehensive Treatise, Vol 2 Postnatal Growth, eds Falkner F, Tanner JM (Plenum, New York), 2 Ed, pp 117-139. source
- Not checked — no full text of the sourcecites [31] 31. Holliday MA (1971) Metabolic rate and organ size during growth from infancy to maturity and during late gestation and early infancy. Pediatrics 47(Suppl 2):169-179. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“It is notable that the increase in body growth rate at puberty-which is unusually pronounced in humans-is deferred to an age when brain glucose uptake is greatly reduced (1,26,41).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not matchedcites [1] 1. Bogin B (1999) Patterns of Human Growth (Cambridge Univ Press, Cambridge, UK), 2nd Ed.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites [26] 26. Aiello LC, Wells JCK (2002) Energetics and the evolution of the genus Homo. Annu Rev Anthropol 31:323-328. source
- Not checked — no full text of the sourcecites [41] 41. Leigh SR (1996) Evolution of human growth spurts. Am J Phys Anthropol 101(4): 455-474. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We interpret our finding of an inverse relationship between the brain's demand for glucose and body-weight growth rate as support for the hypothesis that human brain development is sufficiently costly to require a compensatory reduction in expenditure on body growth, thus helping explain our unusually slow rate of childhood growth and resultant delay in attainment of adult size and sexual maturity”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Brain energetics are thus not likely to impose a strong constraint on later juvenile body growth in macaques, whereas in chimpanzees growth is predicted to be slowed in the juvenile period, but to a lesser degree than in humans because of their smaller brains and corresponding lower brain metabolic needs (22).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [22] 22. Leigh SR (2004) Brain growth, life history, and cognition in primate and human evolution. Am J Primatol 62(3):139-164. source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The finding that human brain glucose demands peak during childhood, and evidence that brain metabolism and body growth rate covary inversely across development, support the hypothesis that the high costs of human brain development require compensatory slowing of body growth rate.”
§ Metabolic costs and evolutionary implications of human brain development > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“despite having similar cranial capacities, dental eruption data suggest that Neanderthals grew more rapidly than modern humans (48).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [48] 48. Smith TM, et al. (2010) Dental evidence for ontogenetic differences between modern humans and Neanderthals. Proc Natl Acad Sci USA 107(49):20923-20928. source
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In the paper
“It has been noted that the high and inflexible glucose requirements of the developing human brain make it susceptible to impairment from nutritional shortfall (18).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [18] 18. Kuzawa CW (1998) Adipose tissue in human infancy and childhood: An evolutionary perspective. Am J Phys Anthropol 107(Suppl 27):177-209. source
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In the paper
“and the latest World Health Organization (WHO) report on human energy requirements similarly finds that caloric needs for body growth are lowest at 4-5 y (38).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not matchedcites [38] 38. Food and Agriculture Organization & World Health Organization (2004) Human En- ergy Requirements: Report of a Joint FAO/WHO/UNU Expert Consultation (Food and Agricultural Organization of the United Nations, Rome).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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In the paper
“A system in which extended social networks provisioned food for children, combined with shifts to calorically dense and easily digested foods procured through hunting (14,15), would have allowed the costs of human brain development to be widely distributed and also buffered against shortfall.”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [14] 14. Foley RA, Lee PC (1991) Ecology and energetics of encephalization in hominid evo- lution. Philos Trans R Soc Lond B Biol Sci 334(1270):223-231, discussion 232. source
- Not checked — no full text of the sourcecites [15] 15. Leonard WR, Robertson ML (1992) Nutritional requirements and human evolution: A bioenergetics model. Am J Hum Biol 4(2):179-195. source
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In the paper
“Changes in insulin secretion are believed to help coordinate glucose delivery to the brain as brain size and energy requirements change during development (60,61).”
§ Metabolic costs and evolutionary implications of human brain development > Discussion
What the sources say
- Not checked — no full text of the sourcecites [60] 60. Kubera B, et al. (2013) Energy allocation between brain and body during ontogenetic development. Am J Hum Biol 25(6):725-732. source
- Not checked — no full text of the sourcecites [61] 61. Peters A, et al. (2004) The selfish brain: Competition for energy resources. Neurosci Biobehav Rev 28(2):143-180. source
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In the paper
“The lCMRGlc values in the 29 children were compared with those of the seven healthy young adult volunteers, whose detailed neurological and psychological examinations disclosed no abnormalities.”
§ Metabolic costs and evolutionary implications of human brain development > Materials and Methods
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In the paper
“Because RMR was estimated from WHO age-and sex- specific predictive equations, there were discontinuities at the ages corre- sponding to changes in the predictive equations (at 3 and 10 y of age) (SI Appendix, Fig. S4).”
§ Metabolic costs and evolutionary implications of human brain development > Calculation of Glucose rmr% and Glucose der% .
What the sources say
- Not matchedcites [38] 38. Food and Agriculture Organization & World Health Organization (2004) Human En- ergy Requirements: Report of a Joint FAO/WHO/UNU Expert Consultation (Food and Agricultural Organization of the United Nations, Rome).
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
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In the paper
“Written informed consent for the PET procedures was obtained directly from adult participants, and for minors, from parents, with institutional review board oversight by the University of California at Los Angeles Human Subject Protection Committee.”
§ Metabolic costs and evolutionary implications of human brain development > Materials and Methods
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The paper relies on this without support.
The Dekaban and Sadowsky brain-weight series is the only available data series that reports brain and body weights from the same individuals and spans birth to adulthood.
“To our knowledge, this highly cited data series is the only one available that reports brain and body weights from the same individuals, and that spans birth to adulthood.”
The paper relies on this without support.
There is no study that includes PET and MRI data in the same healthy individuals spanning birth to adulthood, for ethical reasons.
“For ethical reasons, there is no study that includes PET and MRI data in the same healthy individuals spanning birth to adulthood.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Developing a large brain is energetically expensive and places a constraint on somatic growth(2).”
From The growth pattern of Neandertals, reconstructed from a juvenile skeleton from El Sidrón (Spain) (2017) · cites this paper as [2]
In the citing paper
“The unusually high cost of modern human brain development is greatest during the infant and childhood periods and seems to require a compensatory slowing of childhood body growth(2, 3).”
From The growth pattern of Neandertals, reconstructed from a juvenile skeleton from El Sidrón (Spain) (2017) · cites this paper as [2]
In the citing paper
“However, in large brained hominins like modern humans and Neandertals, an accelerated pace of brain growth, coincident with accelerated somatic growth, would impose a high energetic cost (2).”
From The growth pattern of Neandertals, reconstructed from a juvenile skeleton from El Sidrón (Spain) (2017) · cites this paper as [2]
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Farzam, P., Buckley, E. M., Lin, P., Hagan, K., Grant, P. E., Inder, T. E., Carp, S. A., & Franceschini, M. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-15995-1 · Cited by 49
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Astrocytes from adult Wistar rats aged in vitro show changes in glial functions.
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Developmental variation in regional brain iron and its relation to cognitive functions in childhood
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“The brain accounts for roughly 20% of whole-body metabolic energy expenditure in adulthood, and even higher proportions, 30–50%, in early human development (Chugani, 1998; Kuzawa et al., 2014).”
Portable, field-based neuroimaging using high-density diffuse optical tomography
Fishell, A. K., Arbeláez, A. M., Valdés, C. P., Burns‐Yocum, T. M., Sherafati, A., Richter, E. J., Torres, M., Eggebrecht, A. T., Smyser, C. D., & Culver, J. P. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116541 · Cited by 44
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Hertenstein, H., McMullen, E., Weiler, A., Volkenhoff, A., Becker, H. M., & Schirmeier, S. (2021) · eLife · doi:10.7554/elife.62503 · Cited by 43
“The human brain takes up approximately 90 g glucose per day during adulthood and up to 150 g per day during development (Kuzawa et al., 2014).”
BackgroundUsacheva, M., Choe, D. E., Liu, S., Timmer, S., & Belsky, J. (2022) · Development and Psychopathology · doi:10.1017/s0954579422000013 · Cited by 51
“The two foundational dimensional frameworks converge here in that brain development carries high energetic costs, particularly in early childhood (Kuzawa et al., 2014; Ellis et al., 2022).”
BackgroundBoth Diet and Sociality Affect Primate Brain-Size Evolution
Grabowski, M. W., Kopperud, B. T., Tsuboi, M., & Hansen, T. F. (2022) · Systematic Biology · doi:10.1093/sysbio/syac075 · Cited by 44
“Large brains are energetically expensive, in humans accounting for about 20% of resting metabolic rate in adults, ~52% in infants, and peaking at ~66% during childhood (Kuzawa et al. 2014).”
BackgroundThe Impact of Diabetes on Brain Function in Childhood and Adolescence
Cameron, F. J. (2015) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2015.04.003 · Cited by 46
“2 years at rates of 167 and 146 g/d in males and females, respectively.(2) A constant supply of glucose to the brain”
BackgroundMohamed, R. S., Pettifor, J. M., & Norris, S. A. (2017) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23340 · Cited by 48
Notaras, M. J., Lodhi, A., Barrio-Alonso, E., Foord, C., Rodrick, T. C., Jones, D. R., Fang, H., Greening, D. W., & Colak, D. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01189-9 · Cited by 45
Maternal Inflammation During Pregnancy and Offspring Brain Development: The Role of Mitochondria
Gyllenhammer, L. E., Rasmussen, J. M., Bertele, N., Halbing, A., Entringer, S., Wadhwa, P. D., & Buß, C. (2021) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2021.11.003 · Cited by 46
Evolutionary Strategies for Body Size
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“(5) showed that peak human brain glucose demands occur during childhood (ages 4–10 years) when somatic growth is slow and prolonged; hence, allowing greater amounts of energy to be devoted to the rapid growth rate of the brain.”
BackgroundTripathi, K. K., & Ben‐Shachar, D. (2024) · Cells · doi:10.3390/cells13050410 · Cited by 47
“The mature brain, although constituting just 2–3% of the total body weight, consumes nearly 20% of the body’s basal metabolic rate; while early in development, the human brain consumes more than 40% of the body’s basal energy metabolism [37–39].”
BackgroundDean, C. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0234 · Cited by 45
“Brain growth and maintenance are costly and, it has been argued, there is a tight inverse relationship between brain metabolism and body growth rate from infancy until puberty [49] so that staying small for longer offsets this cost.”
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Neuron–Glial Interactions: Implications for Plasticity, Behavior, and Cognition
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“The extremely high energy requirement during development (Kuzawa et al., 2014) likely re fl ects the energetic costs associated with developmental structural changes, including cell proliferation, migration, di ff er-entiation, axonal growth, and re fi nement of connections (Agathocleous and Harris,…”
Kissel, M., & Fuentes, A. (2021) · Evolutionary Anthropology Issues News and Reviews · doi:10.1002/evan.21883 · Cited by 42
“development facilitates a wide range of behavioral, cognitive, and morphological variation and dynamism that emerges from the potential and structural plasticity in such patterns of growth.(105) Regardless of”
BackgroundEvolution of Human Life History
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Metabolite transport across the mammalian and insect brain diffusion barriers
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Self-citationHibernation constrains brain size evolution in mammals
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“During childhood, broadly, brain-derived glucose demands account for approximately 66 % of an individual’s resting metabolic rate, with peak glucose demands peaking at age 5 (Kuzawa et al. 2014).”
BackgroundMammalian brain development and our grandmothering life history
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“Given the exceptionally high energetic demands of brain tissue (Holliday, 1986; Leonard et al., 2003; Kuzawa et al., 2014), and the high likelihood that H. erectus infants were nursed throughout at least the first year of their lives (Austin et al., 2013), the challenge of meeting these elevated…”
BackgroundDoes hyperglycemia downregulate glucose transporters in the brain?
Leão, L. L., Tangen, G. G., Barca, M. L., Engedal, K., Santos, S. H. S., Machado, F. S. M., de Paula, A. M. B., & Monteiro-Júnior, R. S. (2020) · Medical Hypotheses · doi:10.1016/j.mehy.2020.109614 · Cited by 42
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The Theory of Constructed Emotion: More Than a Feeling
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“There are also changes in the metabolic costs of brain function (e.g., Kuzawa et al., 2014), particularly in the upper layers of the cerebral cortex (e.g., Krienen et al., 2016; Sherwood & Gómez-Robles, 2017; Wei et al., 2019) that play a distinct role in the predictive processing aspects of…”
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“An inverse developmental association between BMI and EF is suggested by an analysis using cross-sectional PET and magnetic resonance imaging data to estimate the energy demand of the developing brain (Kuzawa et al., 2014).”
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“Prolonged postnatal growth period Kuzawa et al.(51) Hublin et al.”
Schizophrenia, a disease of impaired dynamic metabolic flexibility: A new mechanistic framework
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“The total daily glucose utilization by the brain peaks at age 4 – 5 years, and corresponds to 66% of the body ’ s resting metabolic rate (Kuzawa et al. 2014), (Chugani et al. 1987).”
BackgroundResearch on Human Plasticity in Adulthood
Kühn, S., & Lindenberger, U. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-411469-2.00006-6 · Cited by 39
“Finally, bringing about plastic changes is metabolically costly (Kuzawa et al., 2014), and these costs are likely to be exacerbated in systems that have accumulated damage, reflecting evolved limitations in somatic maintenance, as is the case for brains in later adulthood.”
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“Given that the developing brain consumes 60% of fetal oxygen [12], this environment makes adequate antioxidant status especially crucial for protection of vital membrane lipids like DHA.”
BackgroundSex differences in estimated brain metabolism in relation to body growth through adolescence
Vandekar, S., Shou, H., Satterthwaite, T. D., Shinohara, R. T., Merikangas, A. K., Roalf, D. R., Ruparel, K., Rosen, A. F. G., Gennatas, E. D., Elliott, M. A., et al. (2017) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x17737692 · Cited by 36
Plasticity of Carbohydrate Transport at the Blood-Brain Barrier
McMullen, E., Weiler, A., Becker, H. M., & Schirmeier, S. (2021) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.612430 · Cited by 35
“The human brain uses about 90 g of glucose per day; during childhood carbohydrate usage is even higher (Kuzawa et al., 2014).”
BackgroundDHEAS and Human Development: An Evolutionary Perspective
Campbell, B. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00101 · Cited by 39
“If this were so, weaning in humans would be associated with a period of declining glucose utilization (53) as in chimps.”
BackgroundInfluentialBrain Protection after Anoxic Brain Injury: Is Lactate Supplementation Helpful?
Annoni, F., Peluso, L., Bogossian, E. G., Créteur, J., Zanier, E. R., & Taccone, F. S. (2021) · Cells · doi:10.3390/cells10071714 · Cited by 36
“In resting conditions, the brain consumes more than 25% of all available circulating glucose and 20% of oxygen, despite it representing only 2% of total body weight [7,8], and the metabolic cost of its development characterizes our species [9].”
BackgroundUrlacher, S., & Kramer, K. (2018) · Scientific Reports · doi:10.1038/s41598-017-18738-4 · Cited by 32
Understanding patch foraging strategies across development
Lloyd, A., Viding, E. M., McKay, R., & Nicholas Furl, A. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.07.004 · Cited by 41
“Compared with other primates, humans have a protracted period of childhood and adolescence [77], which supports the development of complex cognitive abilities that allow humans to exploit their foraging environment [66].”
Filopodia: A Rapid Structural Plasticity Substrate for Fast Learning
Özcan, A. S. (2017) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2017.00012 · Cited by 34
“Brain glucose uptake reaches adult levels by 2 years of age and peaks during childhood (Kuzawa et al., 2014).”
BackgroundGrowth in childhood and adolescence
Scheffler, C., & Hermanussen, M. (2018) · The International Encyclopedia of Biological Anthropology · doi:10.1002/9781118584538.ieba0537 · Cited by 34
Brain Metabolism in Health and Neurodegeneration: The Interplay Among Neurons and Astrocytes
Shichkova, P., Coggan, J. S., Markram, H., & Keller, D. X. (2024) · Cells · doi:10.3390/cells13201714 · Cited by 39
“Decreases in estrogen can result in reduced brain glucose usage, insulin resistance, mitochondrial insufficiency, myelin degeneration, and increased reliance on lipid metabolism [271,272].”
BackgroundPredicting growth of the healthy infant using a genome scale metabolic model
Nilsson, A., Mardinoğlu, A., & Nielsen, J. (2017) · npj Systems Biology and Applications · doi:10.1038/s41540-017-0004-5 · Cited by 31
“The brain mass, which is a major consumer of energy, was estimated from head circumference, because of absence of data; other studies suggest that the energy expenditure of the brain may change with age due to differences in neuronal levels.(60) Although the specific energy expenditure of the other organs were assumed…”
BackgroundMore Than Eggs – Relationship Between Productivity and Learning in Laying Hens
Dudde, A., Krause, E. T., Matthews, L. R., & Schrader, L. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.02000 · Cited by 36
“Neuronal processes are metabolically particular costly (Brady et al., 2011; Bullmore and Sporns, 2012; Kuzawa et al., 2014), which led us to the assumption that tradeoffs in cognitive skills are likely to have taken place in response to the increased egg yield (Van der Waaij, 2004; Mirkena et al.”
BackgroundSnell‐Rood, E. C., & Snell‐Rood, C. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0491 · Cited by 33
“Metabolic demands of the brain peak at approximately 2–8 years in humans, corresponding to time of active neural pruning and learning [54,55].”
BackgroundMetabolic mechanisms of species-specific developmental tempo
Iwata, R., & Vanderhaeghen, P. (2024) · Developmental Cell · doi:10.1016/j.devcel.2024.05.027 · Cited by 32
Brain charts for the human lifespanPreprint
Bethlehem, R. A. I., Seidlitz, J., White, S. R., Vogel, J. W., Anderson, K., Adamson, C. L., Adler, S., Alexopoulos, G. S., Anagnostou, E. A., Areces-González, A., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.08.447489 · Cited by 32
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Self-citationThe importance of life history and population regulation for the evolution of social learning
Deffner, D., & McElreath, R. L. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0492 · Cited by 27
What is bipolar disorder? A disease model of dysregulated energy expenditure
Mansur, R. B., Lee, Y. L., McIntyre, R. S., & Brietzke, E. M. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.04.006 · Cited by 33
Human torpor: translating insights from nature into manned deep space expedition
Shi, Z., Qin, M., Huang, L., Xu, T., Chen, Y., Hu, Q., Peng, S., Peng, Z., Qu, L., Chen, S., et al. (2020) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12671 · Cited by 31
“It constitutes only 2% of human body mass, but requires 20–25% of total metabolic energy in resting states; brain energy requirements are also considerable for other animals (Jain, Langham & Wehrli, 2010; Kuzawa et al., 2014).”
BackgroundInfluentialNovel transcriptional networks regulated by CLOCK in human neuronsPreprint
Fontenot, M. R., Berto, S., Liu, Y., Werthmann, G. C., Douglas, C., Usui, N., Gleason, K., Tamminga, C. A., Takahashi, J. S., & Konopka, G. (2017) · Genes & Development · doi:10.1101/gad.305813.117 · Cited by 30
“…interesting from an evolutionary perspective, as many studies have suggested that change in metabolic regulation was necessary for the development of the enlarged human cortex relative to other primates (Aiello and Wheeler 1995; Uddin et al. 2004; Bauernfeind et al. 2014; Kuzawa et al. 2014).”
Marko, D. M., Foran, G., Vlavcheski, F., Baron, D. C., Hayward, G. C., Baranowski, B. J., Necakov, A., Tsiani, E., & MacPherson, R. E. K. (2020) · Cells · doi:10.3390/cells9051114 · Cited by 30
“This energy is mostly derived from glucose, of which the brain utilizes ~100–150 g per day [1,2].”
BackgroundTargeting Systems to the Brain Obtained by Merging Prodrugs, Nanoparticles, and Nasal Administration
Botti, G., Dalpiaz, A., & Pavan, B. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13081144 · Cited by 33
Hrdy, S. B., & Burkart, J. M. (2022) · Evolutionary psychology · doi:10.1007/978-3-030-76000-7_8 · Cited by 33
Allomaternal care, brains and fertility in mammals: who cares matters
Heldstab, S. A., Isler, K., Burkart, J. M., & van Schaik, C. P. (2019) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-019-2684-x · Cited by 29
Evolutionary shifts dramatically reorganized the human hippocampal complex
Schilder, B. M., Petry, H. M., & Hof, P. R. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24822 · Cited by 31
“Furthermore, given the high energetic costs of brain tissue (Aiello & Wheeler, 1995; Kuzawa et al., 2014), expansion of this neural structure suggests that it became adaptively specialized in the course of hominin evolution in accordance with Jerison's principle of proper mass (Jerison, 1973).”
BackgroundSelf-citationStreet, M. E., Ponzi, D., Renati, R., Petraroli, M., D’Alvano, T., Lattanzi, C., Ferrari, V. D., Rollo, D., & Stagi, S. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1149417 · Cited by 32
“Peak brain metabolic consumption occurs at the age of 4-5 years in humans, when the brain’s metabolic requirements equal 66% of resting energy expenditure (21, 22) and then fades as brain development moves from growth toward synaptic pruning.”
BackgroundNeural Metabolic Networks: Key Elements of Healthy Brain Function
Madrer, N., Perera, N. D., Uccelli, N. A., Abbondanza, A., Andersen, J. V., Carsana, E. V., Demmings, M. D., Fernandez, R. F., de Fragas, M. G., Gbadamosi, I., et al. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70084 · Cited by 37
“In resting conditions, an adult brain consumes O 2 and glucose at a rate of ~1.5–1.9 μmol/g/min and ~0.2–0.3 μmol/g/min, respectively (Clarke and Sokoloff 1999; Kuzawa et al. 2014; Madsen et al. 1995; Smith et al. 2002).”
InfluentialThe effect of brain size evolution on feeding propensity, digestive efficiency, and juvenile growth
Kotrschal, A., Corral‐López, A., Szidat, S., & Kolm, N. (2015) · Evolution · doi:10.1111/evo.12784 · Cited by 28
“…brain size is evident already at birth in the guppy brain size selection lines (Kotrschal et al. 2013a), this pattern is comparable to how early childhood growth is hampered in humans during the early childhood phase when the energetic demands of brain development are greatest (Kuzawa et al. 2014).”
The Learning Hippocampus: Education and Experience‐Dependent Plasticity
Wenger, E., & Lövdén, M. (2016) · Mind Brain and Education · doi:10.1111/mbe.12112 · Cited by 31
Turkheimer, F., Selvaggi, P., Mehta, M. A., Veronese, M., Zelaya, F. O., Dazzan, P., & Vernon, A. C. (2019) · Schizophrenia Bulletin · doi:10.1093/schbul/sbz119 · Cited by 27
Inside the Fish Brain: Cognition, Learning and Consciousness
Fernö, A., Folkedal, O., Nilsson, J., & Kristiansen, T. S. (2020) · Animal welfare · doi:10.1007/978-3-030-41675-1_7 · Cited by 31
Bhattacharyya, U., Deshpande, S. N., Triptish Bhatia, A., & Thelma, B. K. (2020) · Schizophrenia Bulletin · doi:10.1093/schbul/sbaa179 · Cited by 28
Couple Simulation: A Novel Approach for Evaluating Models of Human Mate Choice
Conroy‐Beam, D. (2021) · Personality and Social Psychology Review · doi:10.1177/1088868320971258 · Cited by 27
“…to parental investment theory, human reproduction is particularly costly (Aiello & Key, 2002; Valeggia & Ellison, 2009), owing in part to the heavy energetic demands of human infant brains (Ellison, 2009; Kuzawa et al., 2014) and the difficult nature of human foraging (Kaplan et al., 2000).”
BackgroundNewer Insights Into Fetal Growth and Body Composition
Ikenoue, S., Kasuga, Y., Endo, T., Tanaka, M., & Ochiai, D. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.708767 · Cited by 28
“It is important for human neonates to prioritize adipose tissue accumulation because adipose tissue is an important buffer against limited nutrient supply soon after birth, and could be utilized as one of the brain’s energy resources (13).”
Background(2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374 · Cited by 30
Ng, G. Y.-Q., Sheng, D. P. L. K., Bae, H., Kang, S. W., Fann, D. Y., Park, J., Kim, J., Shaik, A. A., Lee, J., Kim, E., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00537-z · Cited by 32
Culture in Mind – An Enactivist Account
Hutto, D. D., Gallagher, S., Ilundáin‐Agurruza, J., & Hipólito, I. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108695374.009 · Cited by 29
A 3D atlas of functional human brain energetic connectome based on neuropil distribution
Yu, Y., Akif, A., Hermán, P., Cao, M., Rothman, D. L., Carson, R. E., Agarwal, D., Evans, A. C., & Hyder, F. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac322 · Cited by 27
The effects of general anesthetics on mitochondrial structure and function in the developing brain
Hogarth, K. A., Tarazi, D., & Maynes, J. T. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1179823 · Cited by 27
“The neuronal reliance on mitochondrial function is emphasized further in the developing brain, as neurodevelopment necessitates energetically expensive and mitochondrially mediated processes including neurogenesis, synaptogenesis, and cellular differentiation (38, 40, 41).”
BackgroundOptimization of Nutrition after Brain Injury: Mechanistic and Therapeutic Considerations
Poblete, R. A., Yaceczko, S. D., Aliakbar, R., Saini, P., Hazany, S., Breit, H., Louie, S. G., Lyden, P. D., & Partikian, A. (2023) · Biomedicines · doi:10.3390/biomedicines11092551 · Cited by 31
“Combined positron emission tomography (PET) and magnetic resonance imaging (MRI) data demonstrate that brain glucose metabolism and body growth rate are inversely associated, implying that normal brain development requires a compensatory slowing of body growth rate across typical development [72].”
BackgroundBoyer, D., & Harrington, A. R. (2017) · Journal of Human Evolution · doi:10.1016/j.jhevol.2017.09.003 · Cited by 26
Jumbe, T. J., Comstock, S. S., Harris, W. S., Kinabo, J., Pontifex, M. B., & Fenton, J. I. (2016) · British Journal Of Nutrition · doi:10.1017/s0007114516003494 · Cited by 26
“human brain development as the human brain uses 44–87% of resting metabolic energy during childhood((36)).”
BackgroundFish Brains: Anatomy, Functionality, and Evolutionary Relationships
Kotrschal, A., & Kotrschal, K. M. (2020) · Animal welfare · doi:10.1007/978-3-030-41675-1_6 · Cited by 24
Extended parental provisioning and variation in vertebrate brain sizes
van Schaik, C. P., Song, Z., Schuppli, C., Drobniak, S. M., Heldstab, S. A., & Griesser, M. (2023) · PLoS Biology · doi:10.1371/journal.pbio.3002016 · Cited by 24
“To visualize this effect, Fig 5 (data taken from [94]) shows the slope differences between altricial and precocial bird orders and families (based on ordinary least-squares regression).”
BackgroundThe association between weight, height, and head circumference reconsidered
Scheffler, C., Greil, H., & Hermanussen, M. (2017) · Pediatric Research · doi:10.1038/pr.2017.3 · Cited by 24
A model for brain life history evolution
González-Forero, M., Faulwasser, T., & Lehmann, L. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005380 · Cited by 21
“Lines and circles with the same color are respectively the model’s prediction and the observed values in modern human females [69].”
BackgroundLeppard, T. P. (2015) · Cambridge Archaeological Journal · doi:10.1017/s0959774315000098 · Cited by 23
“…remains the case that pathways to and final form of adult brain architecture were different between at least three species of hominin, with enormous and probably unique investment of energy in post-natal neural development characterizing our species (Kuzawa et al. 2014; Neubauer & Hublin 2012).”
BackgroundOxidative Stress in Children and Adolescents: Insights Into Human Biology
Samsonov, A. E., & Urlacher, S. S. (2025) · American Journal of Human Biology · doi:10.1002/ajhb.24200 · Cited by 24
“Much of this elevation in energy use appears to relate to the unique human brain (Kuzawa et al. 2014; Urlacher 2023), which is particularly vulnerable to oxidative damage (Guney et al. 2014).”
Microvascular basis of cognitive impairment in type 1 diabetes
Sharma, S., & Brown, C. E. (2021) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2021.107929 · Cited by 24
Differential role of neuronal glucose and PFKFB3 in memory formation during development
Cruz, E., Bessières, B., Magistretti, P. J., & Alberini, C. M. (2022) · Glia · doi:10.1002/glia.24248 · Cited by 24
“%) suggesting, in line with previous literature in humans (Chugani et al., 1987; Kuzawa et al., 2014), that the juvenile hippocampus has an increased glucose metabolism.”
BackgroundMethodResultInfluentialUrlacher, S. S. (2023) · American Journal of Biological Anthropology · doi:10.1002/ajpa.24719 · Cited by 24
Patching, S. G. (2015) · Journal of Diagnostic Imaging in Therapy · doi:10.17229/jdit.2015-0301-014 · Cited by 25
“Because the human brain is almost entirely dependent upon glucose as an energy source, taking in ~100-150 g of glucose per day [49], and GLUT1 is unique in mediating glucose transfer across the blood-brain barrier, GLUT1 is essential for maintaining normal neurological functions.”
BackgroundEvolution of Sex Differences in Trait- and Age-Specific Vulnerabilities
Geary, D. C. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650677 · Cited by 22
“One possibility is the rapid brain growth that occurs during childhood (Kuzawa et al., 2014).”
BackgroundGrowth of Neanderthal infants from Krapina (120–130 ka), Croatia
Mahoney, P., McFarlane, G., Smith, B. H., Miszkiewicz, J. J., Cerrito, P., Liversidge, H. M., Mancini, L., Dreossi, D., Veneziano, A., Bernardini, F., et al. (2021) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2021.2079 · Cited by 23
“Higher brain growth rates by their second year [14] might have generated large energetic costs for Neanderthals [5].”
BackgroundLiu, H.-Y., Guo, J., Zeng, C., Cao, Y., Ran, R., Wu, T., Yang, G., Zhao, D., Yang, P., Yu, X. B., et al. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2021.793561 · Cited by 22
“Moreover, brain glucose requirement is associated inversely to body growth from infancy to puberty (18).”
BackgroundRefined carbohydrates, phenotypic plasticity and the obesity epidemic
Bradley, P. J. (2019) · Medical Hypotheses · doi:10.1016/j.mehy.2019.109317 · Cited by 23
“The human brain’s almost complete reliance on a continuous stable supply of plasma glucose points to why insulin resistance is an adaptive response; the brain is quickly damaged by even a temporary disruption in energy supply [11], and although it represents only 2% of body mass in adulthood, it accounts for 20% of th…”
BackgroundInfluentialKuzawa, C. W., Adair, L. S., Bechayda, S. A., Borja, J. B., Carba, D. B., Duazo, P. L., Eisenberg, D. T. A., Georgiev, A. V., Gettler, L. T., Lee, N. R., et al. (2020) · Annals of Human Biology · doi:10.1080/03014460.2020.1742787 · Cited by 21
“As demonstrated empirically in humans, constraints on energy budgets lead unavoidably to functional trade-offs (Kuzawa et al. 2014; Urlacher et al. 2019), which the metabolic and physiologic architecture of the human body has been designed to balance.”
BackgroundSelf-citationLevy, S., Klimova, T. M., Zakharova, R., Fedorov, A. I., Fedorova, V. I., Baltakhinova, M. E., & Leonard, W. (2021) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24297 · Cited by 20
Self-citationThe evolution of perennially enlarged breasts in women: a critical review and a novel hypothesis
Pawłowski, B., & Żelaźniewicz, A. (2021) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12778 · Cited by 23
“Furthermore, elevated DHEA/S levels during thelarche allow enhanced brain development during the intensive synaptic pruning that takes place during this ontogenetic stage, while also resulting in higher local levels of E2 in girls (Kuzawa, 1998; Wells, 2010; Kuzawa et al., 2014).”
BackgroundZaunseder, E., Mütze, U., Okun, J. G., Hoffmann, G. F., Kölker, S., Heuveline, V., & Thiele, I. (2024) · Cell Metabolism · doi:10.1016/j.cmet.2024.05.006 · Cited by 28
Birdsong as a window into language origins and evolutionary neuroscience
Aamodt, C., Farias-Virgens, M., & White, S. A. (2019) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0060 · Cited by 24
“Slowed development supports the vast metabolic demands of the developing songbird [59] and human brain [60].”
BackgroundWhat gaze direction can tell us about cognitive processes in invertebrates
Winsor, A. M., Pagoti, G. F., Daye, D., Cheries, E. W., Cave, K. R., & Jakob, E. M. (2021) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2020.12.001 · Cited by 21
Metadata
- Authors
- Kuzawa, C. W., Chugani, H. T., Grossman, L. I., Lipovich, L., Muzik, O., Hof, P. R., Wildman, D. E., Sherwood, C. C., Leonard, W. R., & Lange, N.
- Affiliations
- Northwestern University (US)
- Children's Hospital of Michigan (US)
- Wayne State University (US)
- Department of Pediatrics,
- Icahn School of Medicine at Mount Sinai (US)
- University of Illinois Urbana-Champaign (US)
- George Washington University (US)
- Department of Anthropology,
- Harvard University (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-08-25
- Volume
- 111
- Issue
- 36
- Pages
- 13010-13015
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4246958
- OpenAlex
- W2069193149
- Cited by
- 585
- References
- 74
- Citations by year
- 2026: 47 · 2025: 66 · 2024: 58 · 2023: 48 · 2022: 47 · 2021: 57 · 2020: 81 · 2019: 40 · 2018: 42 · 2017: 25 · 2016: 40 · 2015: 26 · 2014: 6
- FWCI
- 44.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0827531, 220020293, 0827546)
- James S. McDonnell Foundation (220020293)
- National Institutes of Health (n01ns092319-000, n01ns092317-000, n01ns92315-15-0-1, n01hd23343-8-0-0, n01ns092314-002, n01ns092316-000, n01ns092318-002, n01mh90002-26-0-0, NS034783)
- National Institute of Mental Health (N01-MH09-0002)
- National Institute of Neurological Disorders and Stroke (N01 NS092318, N01 NS002320, R56NS034783, N01 NS092316, N01 NS092314, N01 NS092315, N01 NS092317, N01 NS092319, R01NS034783)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (N01-HD023343)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Primate Behavior and Ecology
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- human brain development, brain glucose uptake, resting metabolic rate, daily energy requirements, body growth rate, life history evolution, puberty
- MeSH terms
- Adult, Aging, Basal Metabolism, Body Weight, Brain, Biological Evolution, Female, Glucose, Humans, Male, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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