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    "Brain, Behavior and Evolution"

    Subject:
    Behavioral Neuroscience
    Publisher:
    S. Karger AG — Karger
    ISSN:
    0006-8977
    Scimago Journal Rank:
    79

    2026

    Volume OnlineFirst
    January
    Volume 101
    Issue 2 (Jun)Issue 1 (Mar)

    2025

    Volume 100
    Issue 4 (Nov)Issue 3 (Sep)Issue 2 (Jun)Issue 1 (Mar)

    2024

    Volume 99
    Issue 4 (Dec)Issue 3 (Sep)Issue 2 (Jun)
    Issue 1 (Apr)
    Volume 98
    Issue 6 (Feb)

    2023

    Volume 98
    Issue 5 (Oct)Issue 4 (Aug)Issue 3 (Jun)Issue 2 (Apr)Issue 1 (Feb)

    2022

    Volume 97
    Issue 6 (Nov)Issue 5 (Aug)Issue 3-4 (Jul)Issue 1-2 (Jun)
    Volume 96
    Issue 4-6 (Jun)Issue 3 (Mar)

    2021

    Volume 96
    Issue 2 (Dec)Issue 1 (Aug)
    Volume 95
    Issue 6 (Jul)Issue 5 (Jun)

    2020

    Volume 95
    Issue 3-4 (Dec)Issue 2 (Sep)Issue 1 (Mar)
    Volume 94
    Issue 1-4 (Jan)

    2019

    Volume 93
    Issue 4 (Nov)Issue 2-3 (Aug)Issue 1 (Jul)
    Volume 92
    Issue 3-4 (Apr)

    2018

    Volume 92
    Issue 1-2 (Nov)
    Volume 91
    Issue 4 (Aug)Issue 3 (Aug)Issue 2 (Jul)Issue 1 (Apr)

    2017

    Volume 90
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 89
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 88
    Issue 3-4 (Jan)

    2016

    Volume 88
    Issue 3-4 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 87
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    2015

    Volume 86
    Issue 3-4 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 85
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    2014

    Volume 85
    Issue 1 (Jan)
    Volume 84
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 83
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    2013

    Volume 83
    Issue 1 (Jan)
    Volume 82
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 81
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    2012

    Volume 81
    Issue 1 (Jan)
    Volume 80
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Sep)Issue 1 (Jan)
    Volume 79
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    2011

    Volume 79
    Issue 2 (Jan)Issue 1 (Jan)
    Volume 78
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Aug)
    Volume 77
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 76
    Issue 3-4 (Jan)

    2010

    Volume 77
    Issue 1 (Jan)
    Volume 76
    Issue 3-4 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 75
    Issue 4 (Jan)Issue 3 (Aug)Issue 2 (Jan)Issue 1 (Jan)
    Volume 74
    Issue 4 (Jan)

    2009

    Volume 74
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 73
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 72
    Issue 4 (Jan)

    2008

    Volume 72
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 71
    Issue 4 (Jan)Issue 3 (Jan)
    Volume 50
    Issue 1 (Jan)

    2007

    Volume 71
    Issue 2 (Jan)Issue 1 (Jan)
    Volume 70
    Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Aug)Issue 1 (Jun)
    Volume 69
    Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Jan)
    Volume 68
    Issue 4 (Nov)

    2006

    Volume 69
    Issue 1 (Dec)
    Volume 68
    Issue 3 (Jan)Issue 2 (Jul)Issue 1 (Jun)
    Volume 67
    Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Jan)

    2005

    Volume 67
    Issue 1 (Dec)
    Volume 66
    Issue 4 (Oct)Issue 3 (Sep)Issue 2 (Jul)Issue 1 (May)
    Volume 65
    Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Jan)

    2004

    Volume 65
    Issue 1 (Dec)
    Volume 64
    Issue 4 (Oct)Issue 3 (Sep)Issue 2 (Jul)Issue 1 (Jun)
    Volume 63
    Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)

    2003

    Volume 63
    Issue 1 (Dec)
    Volume 62
    Issue 4 (Oct)Issue 3 (Sep)Issue 2 (Aug)Issue 1 (Aug)
    Volume 61
    Issue 4 (Jun)Issue 3 (Apr)Issue 2 (Mar)Issue 1 (Feb)

    2002

    Volume 60
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 59
    Issue 5-6 (Jan)Issue 4 (Apr)Issue 3 (Jan)Issue 1-2 (Jan)

    2001

    Volume 58
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 57
    Issue 6 (Jun)Issue 5 (Jan)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

    2000

    Volume 56
    Issue 6 (Dec)Issue 5 (Nov)Issue 4 (Oct)Issue 3 (Sep)Issue 2 (Aug)Issue 1 (Jun)
    Volume 55
    Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

    1999

    Volume 54
    Issue 6 (Dec)Issue 5 (Nov)Issue 4 (Oct)Issue 3 (Sep)Issue 2 (Aug)Issue 1 (Jul)
    Volume 53
    Issue 5-6 (Jun)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

    1998

    Volume 52
    Issue 6 (Dec)Issue 4-5 (Oct)Issue 3 (Sep)Issue 2 (Aug)Issue 1 (Jul)
    Volume 51
    Issue 6 (Jun)Issue 5 (May)Issue 4 (Apr)Issue 3 (Mar)Issue 2 (Feb)Issue 1 (Jan)

    1997

    Volume 50
    Supplement 1 (Jan)Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)
    Volume 49
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1996

    Volume 48
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 47
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1995

    Volume 46
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 45
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1994

    Volume 44
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 43
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1993

    Volume 42
    Supplement 1 (Jan)Issue 6 (Jan)Issue 4-5 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 41
    Issue 6 (Jan)Issue 3-5 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1992

    Volume 40
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)
    Volume 39
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1991

    Volume 38
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)
    Volume 37
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1990

    Volume 36
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)
    Volume 35
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1989

    Volume 34
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 33
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)

    1988

    Volume 32
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    Volume 31
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1987

    Volume 30
    Issue 5-6 (Jan)Issue 3-4 (Jan)Issue 1-2 (Jan)

    1986

    Volume 29
    Issue 3-4 (Jan)Issue 1-2 (Jan)
    Volume 28
    Issue 4 (Jan)Issue 1-3 (Jan)

    1985

    Volume 27
    Issue 2-4 (Jan)Issue 1 (Jan)
    Volume 26
    Issue 3-4 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1984

    Volume 25
    Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)
    Volume 24
    Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)

    1983

    Volume 23
    Issue 3-4 (Jan)Issue 1-2 (Jan)
    Volume 22
    Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)

    1982

    Volume 21
    Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)
    Volume 20
    Issue 3-4 (Jan)Issue 1-2 (Jan)

    1981

    Volume 19
    Issue 3-4 (Jan)Issue 1-2 (Jan)
    Volume 18
    Issue 4 (Jan)Issue 3 (Jan)Issue 1-2 (Jan)

    1980

    Volume 17
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1979

    Volume 16
    Issue 5-6 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1978

    Volume 15
    Issue 5-6 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1977

    Volume 14
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 1-2 (Jan)

    1976

    Volume 13
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)

    1975

    Volume 12
    Issue 4-6 (Jan)Issue 3 (Jan)Issue 1-2 (Jan)
    Volume 11
    Issue 5-6 (Jan)Issue 3-4 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1974

    Volume 10
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 1-3 (Jan)
    Volume 9
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1973

    Volume 8
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 1-2 (Jan)
    Volume 7
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1972

    Volume 6
    Issue 1-6 (Jan)
    Volume 5
    Issue 6 (Jan)Issue 4-5 (Jan)Issue 2-3 (Jan)Issue 1 (Jan)

    1971

    Volume 4
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1970

    Volume 3
    Issue 5-6 (Jan)Issue 1-4 (Jan)

    1969

    Volume 2
    Issue 5-6 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)

    1968

    Volume 1
    Issue 6 (Jan)Issue 5 (Jan)Issue 4 (Jan)Issue 3 (Jan)Issue 2 (Jan)Issue 1 (Jan)
    journal article
    LitStream Collection
    Phylogenetic Patterns and Genomic Correlates of Pronounced Neocortical Reduction in New World Monkeys

    Aristide, Leandro

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000552655pmid: 42166386

    AbstractIntroduction: Primate brain evolution is characterized by neocortical expansion, yet secondary reductions in brain size have occurred in several lineages. This study reconstructs the evolutionary dynamics of relative neocortex size in anthropoid primates and explores genomic correlates of identified neocortical reductions in New World monkeys to investigate whether such changes reflect direct selection on neural traits or arise from other mechanisms. Methods: Neocortex and medulla volumes were compiled for anthropoid species. Phylogenetic modeling of relative neocortex size was performed using Fabric-regression with medulla volume as covariate. Genomic analyses involved codon-based tests for positive selection (aBSREL) and shifts in selection intensity (RELAX) across 18,177 orthologous protein-coding genes, followed by functional enrichment and characterization of candidate genes. Results: Phylogenetic analyses revealed heterogeneous changes in relative neocortex size across anthropoids, with a statistically significant reduction along the ancestral Callitrichinae + Aotus branch. Genomic scans identified 12 genes under positive selection, two under intensified and none under relaxed selection on this branch, with no enrichment for neurodevelopmental or brain-related pathways. Only a single candidate with potential neurodevelopmental relevance was identified (ZNF512B). Conclusion: The absence of a clear neurodevelopmental genomic signal contrasts with previously reported signatures of positive selection on brain-related genes in encephalized cebids, suggesting that brain expansions and reductions in anthropoids may not share a common genomic basis. This also opens up the possibility that the neocortical reduction detected here emerged as a by-product of selection on other traits (e.g., body size or life-history), rather than as a direct target of selection on neural phenotypes.
    journal article
    Open Access Collection
    Pre- and Postnatal Ontogeny of Brain Size in Beluga and Bowhead Whales

    Thewissen, J.G.M.; Mars, Katheryn R.; Waugh, David A.; Peacock, John; Stimmelmayr, Raphaela; Citta, John J.

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000550974pmid: 41678417

    AbstractIntroduction: Ontogenetic brain growth in cetaceans is essential for understanding their development and evolution. This study investigates brain size changes relative to body growth in bowhead (Balaena mysticetus) and beluga (Delphinapterus leucas) whales in the framework of age estimates of pre- and postnatal specimens. Methods: We collected specimens in the field, determined brain size and endocranial volumes, as well as size of endocranial adnexa, either by direct measurement or by CT. We estimated age using baleen length (bowhead), growth layers in teeth (belugas), or fetal stages. We fitted Gompertz growth models to our data. Results: Our findings show that both bowhead and beluga whales reach nearly their full brain size by the end of weaning, unlike dolphins and humans, whose brains continue growing after weaning. Bowhead brains grow faster than those of belugas, and much faster than those of humans, and their rete mirabile occupies a much larger portion of the cranial cavity than in belugas. Encephalization quotients decline with age due to continued body growth after brain maturation. Conclusion: Brain growth in these cetacean species plateaus early, challenging the assumption that cetacean brains grow throughout life. In bowhead, the brain is significantly smaller than the cranial cavity, and this is not the case in beluga. If this observation can be generalized to all mysticetes and odontocetes, it implies that no single equation can capture the proportional volumes of the brain and cranial cavity across the entire cetacean clade.
    journal article
    Open Access Collection
    The Impact of Developmental and Genetic Influences on Neural Circuits

    Pritz, Michael B.

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000552475pmid: 42105279

    AbstractBackground: Neural circuits form the basis for brain function and behavior. However, solely focusing on adult brains can sometimes overlook prior events that may have shaped this anatomy. These other perspectives can provide further insight into brain circuit organization. Summary: To support this suggestion, specific examples of developmental and genetic events are presented that might not be appreciated if only adult brains were investigated. Examples include the following. One is the origin of nuclei from the same developmental field that divides into major subdivisions. Each of the resulting areas has neurons with different morphology, connections, and molecular signatures. The other is new circuit formation that is produced in three ways. One is the result of peripheral sensory receptor reduction. Another is the consequence of genetic mutation. The third is due to axonal pruning or perinatal injury. Key Message: In certain instances, developmental and genetic features provide additional perspectives to better understand how circuit formation in the brains of adult animals came to be.
    journal article
    Open Access Collection
    How Imprinted Genes Shape Nurturing Behaviours and Neural Circuits

    Jones, Rachel A.; Higgs, Matthew J.; Isles, Anthony R.

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000551100pmid: 41729753

    AbstractBackground: Genomic imprinting is an epigenetic phenomenon that, in animals, is found only in viviparous mammals, such as eutherians and marsupials. Differential epigenetic marking of the genomes during gametogenesis leads to parent-of-origin-specific expression of imprinted genes, with some solely expressed from the maternally inherited allele, and others solely expressed from the paternally inherited allele. From an evolutionary perspective, genomic imprinting is fascinating, as it appears to negate the benefits of diploidy and yet correct expression of imprinted genes essential for normal development and function. Summary: Genomic imprinting influences some key mammalian physiologies, including brain and behaviour. Imprinted gene expression is enriched in the “parental hub” neurons of the hypothalamus and the wider defined parental care circuitry. Furthermore, manipulation of a number of these imprinted genes in mice leads to changes in parental care giving. Key Messages: We propose that imprinted genes are likely to influence parental behaviour at several levels. Given their over-representation, it is probable that the recognised “imprinted gene network” operates within the parental hub neurons of hypothalamus. In addition, expression of imprinted genes in the wider brain circuitry, and the pituitary, may modulate different aspects of parental care behaviour. Finally, the known functional consequences of altered imprinted gene expression most likely arise due to changes in the development and/or cellular composition of the parental care circuitry. However, it is clear there remains much to be discovered before we fully understand how and why genomic imprinting shapes nurturing and parental behaviours.
    journal article
    Open Access Collection
    Of Moles and Men: The Evolution and Design of Soft Tissue Forceps

    Catania, Kenneth C.; Braun, Christopher B.

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000551541pmid: 41838816

    AbstractIntroduction: Star-nosed moles are renowned as the fastest foragers among mammals, able to identify and eat small prey in less than a quarter of a second. This ability stems in part from the mole’s extraordinary mechanosensory star which has been the focus of many investigations. However, fast eating also requires a specialized motor system and associated structures. Here, the mole’s unusual incisors are explored as a key adaptation for efficient foraging. Methods: High-speed videos of foraging moles, including microscopic views at 1,000 frames per second, were used to measure prey handling time and tooth movements. Scanning electron microscopy was used to assess tooth structure. Specimens from Cornell Museum of Vertebrates were examined with light microscopy. Data from previous investigations were compared to the present results. Results: A mole with worn front teeth was discovered, and this specimen often failed to secure small prey efficiently, thus doubling the mole’s handling time compared to normal specimens. The manner in which the worn teeth failed suggested the mole’s normal incisors are analogous to a specific type of man-made surgical forceps – so-called Yaşargil tumor forceps. Conclusion: The results reveal an example of serendipitous biomimicry by human surgeons in designing soft tissue forceps, highlight the importance of motor specializations in the star-nosed mole’s fast foraging ability, and suggest some of the specific anatomical specialization that are the result of selection on the key variables (space clearance rate and handling time) in Holling’s pioneering foraging theory equation.
    journal article
    LitStream Collection
    Precuneus and Superior Parietal Lobule: Morphology and Evolution in the Human Genus

    Bruner, Emiliano

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000550920pmid: 41662307

    AbstractBackground: Humans display larger and more complex parietal lobes, when compared with other primates. The superior parietal lobule is a region still poorly known in terms of comparative and evolutionary neuroanatomy, although at least its medial region, the precuneus, is apparently expanded in our species. Summary: In this article, I review 20 years of personal research on the morphology and evolution of this cortical element. The precuneus is particularly variable among adult humans, mostly in its dorsal and anterior areas. This large individual variability seems already settled at birth. During aging, this cortical region is particularly sensitive to atrophy and neurodegeneration. Its ventral areas are embedded in a complicated topological environment, suggesting spatial, metabolic, and vascular constraints. Key Messages: Human and nonhuman primates share a similar organization of the superior parietal lobule, although with different proportions. Even when compared with extinct hominids, the precuneus in modern humans looks more expanded. These changes are expected to be associated with some cognitive variations, possibly involving visuospatial integration, body cognition, mental imaging, and self-construction.
    journal article
    Open Access Collection
    Spectral Transmittance of the Ocular Media of Eight Seabird Species from Two Orders: Procellariiformes (Petrels and Shearwaters) and Suliformes (Gannets and Shags)

    Heswall, Ariel-Micaiah; Hadden, Peter William; Zhang, Jie; Friesen, Megan; Cain, Kristal E.; Gaskett, Anne

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000551766pmid: 41886553

    AbstractIntroduction: Many, but not all, bird taxa possess the ability to see ultraviolet (UV) light, but it is currently unclear the extent this ability exists among seabirds. Measuring retinal photoreceptor sensitivity presents many challenges, but the penetration of UV light through the ocular media (ocular transmittance) is a good proxy for UV vision. Methods: Here, we document the ocular transmission of light wavelengths using spectrometry through the eyes of eight Procellariiform and Suliform seabird species found in Aotearoa New Zealand. Results: We report that the eyes of most Procellariiformes, but not the Suliformes, can transmit UV wavelengths. Thus, there is the potential for those Procellariiformes to perceive UV. Discussion: Both phylogeny and ecology could play a role in UV vision in seabirds and understanding the wavelengths that seabirds perceive can be crucial for conservation against visual threats.
    journal article
    LitStream Collection
    Locomotor and Cognitive Evolution in Early Hominins: An Evo-Devo Perspective

    Falk, Dean

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000552070pmid: 41999614

    AbstractBackground: Research on the relationship between the evolution of ontogenetic locomotor milestones and the emergence of advanced cognition in early hominins is reviewed and discussed from an evo-devo perspective that incorporates theoretical underpinnings from the extended evolutionary synthesis. Comparative ontogenetic data from chimpanzee and human infants shed light on likely derivations in hominin locomotor milestones, their effect on the emergence of habitual bipedalism, and the latter’s probable contribution(s) to cognitive evolution. Summary: Human babies’ locomotor milestone of crawling on hands and knees is hypothesized to have been derived during hominin evolution in place of a knuckle-walking developmental stage that likely existed in the apelike predecessors of the earliest hominins. A review of comparative research suggests that evolutionary modifications in crawling, sitting, and pointing in addition to selection for bipedalism, contributed to the progressive evolution of both locomotion and advanced cognition in hominins. Key Messages: Comparisons of the ontogenetic development of locomotor stages in chimpanzee and human infants suggest that locomotor evolution and the emergence of advanced cognition were deeply intertwined during hominin evolution.
    journal article
    LitStream Collection
    Macroevolutionary Patterns of Endocast Lateralization in Catarrhines and Fossil Hominins

    Melchionna, Marina; Di Costanzo, Alessia; Morvillo, Linda; Serio, Carmela; Girardi, Giorgia; Castiglione, Silvia; Esposito, Antonella; Raia, Pasquale

    2026 Brain Behavior and Evolution

    doi: 10.1159/000552647pmid: 42166389

    AbstractIntroduction: Brain lateralization has deep evolutionary roots in primates, and is often considered to reach its most pronounced expression in humans, particularly in relation to lateralized behaviors. However, little is known about the macroevolutionary dynamics of asymmetric endocranial shape across fossil and extant catarrhines. Here, we apply three-dimensional geometric morphometrics to a comparative sample of extant apes, humans, and fossil hominins to investigate patterns, rates, and directions of brain shape lateralization under an explicit phylogenetic framework. Methods: We analyzed 161 cranial endocasts representing 81 extant and extinct Catarrhine species, using high-resolution geometric morphometrics. We focus on endocast shape lateralization as an evolutionary component of endocranial morphology rather than on individual-level hemispheric differences. Rates of asymmetric shape change are quantified across lineages by using Phylogenetic Ridge Regression (RRphylo) to map evolutionary rates of endocast shape lateralization directly onto the cortical surface. Results: Our results show that hominins exhibit distinctly higher rates of asymmetric endocranial shape evolution compared with nonhuman apes, with particularly pronounced changes observed along the lineage leading to modern humans. These changes are not explained by single-side brain size variation and are spatially concentrated in specific regions of the endocranial surface. Conclusion: The patterns we identified reflect macroevolutionary modifications of endocranial shape and do not constitute direct evidence of hemispheric functional specialization. Nevertheless, the observed evolutionary dynamics are consistent with broader scenarios involving increasing structural reorganization of the brain during hominin evolution. These findings provide a quantitative framework for investigating the evolutionary history of endocranial asymmetry and its potential biological correlates while maintaining a clear distinction between morphological evidence and functional interpretation.
    journal article
    LitStream Collection
    Scaling and Neuronal Counts Evolutionary Dynamics across Amniotes

    Sansalone, Gabriele; Castiglione, Silvia; Girardi, Giorgia; Dell’Albani, Paolo; Raia, Pasquale

    2026 "Brain, Behavior and Evolution"

    doi: 10.1159/000551768pmid: 41911158

    AbstractIntroduction: Similarly sized brains can be made of highly different neuron numbers, which is along the evolution of amniotes multiple shifts in the evolution of the brain size versus brain neurons scaling relationships should have occurred to justify the diversity we observe today. However, if such relationships are conserved within clades, a strong correlation between brain size and brain neurons evolutionary rates should be detected within all clades. Methods: We analysed previously published data of brain and body size and brain neuron numbers of 201 amniotes species spanning from Squamata, Testudines, Aves, and Mammalia. We applied phylogenetic ridge regression (RRphylo) to measure evolutionary rates of the scaling relationship between body and brain size and brain neuron numbers. We employed Bayesian phylogenetic regression and robust phylogenetic regression to understand the evolutionary relationship between each variable. Results: We identified five major shifts in the rates of evolution of neuron numbers. Galloanserae (Aves), Ferungulata (Mammalia), and Primates (Mammalia) showed a positive rate shift, whereas Testudines (Reptilia) and Squamata (Reptilia) showed a negative shift. Furthermore, we detected a marked change in slope and intercept in Primates, Ferungulata, and Galloanserae when compared with Squamata and Testudines. We detected a strong correlation between the evolutionary rates of body and brain size and brain neuron numbers in all clades except for Testudines and a weaker yet significant correlation in Squamata. Discussion: We confirm the presence of a marked shift in the scaling relationships between body and brain size and brain neuron numbers within mammals and birds. Primates display the highest slope, whereas Squamata and Testudines show the lowest. Furthermore, we detected the absence of correlation between the rates of evolution in Testudines and a weaker correlation in Squamata. These results suggest that not all amniotes show similar scaling trends between body and brain size and brain neuron numbers and that coordinated evolution between brain size and neuron numbers is an emergent property only of the most encephalised clades.

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