Poster No:
2140
Submission Type:
Abstract Submission
Authors:
Maëlig Chauvel1, Evgeniya Kirilina1, Ilona Lipp1, Sonja Ebel2,3, Kathrin Kopp2,3, Carsten Jaeger1,4, Saskia Helbling1,5, Peter McColgan6, Kerrin Pine1, Luke J. Edwards1, Tobias Graessle7,8, Denis Chaimow1, Catherine Crockford9,10,11, Roman Wittig9,10,11, Nikolaus Weiskopf1,12,13
Institutions:
1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany, 3Human Biology & Primate Cognition Group, Institute of Biology at Leipzig University, Leipzig, Germany, 4Paul Flechsig Institute - Center of Neuropathology and Brain Research, Faculty of Medicine, Universität Leipzig, Leipzig, Germany, 5Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society, Frankfurt am Main, Germany, 6University College London, London, United Kingdom, 7Ecology and Emergence of Zoonotic Diseases, Helmholtz Institute for One Health, Greifswald, Germany, 8Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, Berlin, Germany, 9Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropolog, Leipzig, Germany, 10Ape Social Mind Lab, Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS, Lyon, France, 11Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan, Cote D'Ivoire, 12Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany, 13Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
First Author:
Maëlig Chauvel
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Co-Author(s):
Evgeniya Kirilina
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Ilona Lipp
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Sonja Ebel
Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology|Human Biology & Primate Cognition Group, Institute of Biology at Leipzig University
Leipzig, Germany|Leipzig, Germany
Kathrin Kopp
Department of Comparative Cultural Psychology, Max Planck Institute for Evolutionary Anthropology|Human Biology & Primate Cognition Group, Institute of Biology at Leipzig University
Leipzig, Germany|Leipzig, Germany
Carsten Jaeger
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences|Paul Flechsig Institute - Center of Neuropathology and Brain Research, Faculty of Medicine, Universität Leipzig
Leipzig, Germany|Leipzig, Germany
Saskia Helbling
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences|Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society
Leipzig, Germany|Frankfurt am Main, Germany
Kerrin Pine
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Luke J. Edwards
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Tobias Graessle
Ecology and Emergence of Zoonotic Diseases, Helmholtz Institute for One Health|Epidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute
Greifswald, Germany|Berlin, Germany
Denis Chaimow
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
Catherine Crockford
Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropolog|Ape Social Mind Lab, Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS|Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques
Leipzig, Germany|Lyon, France|Abidjan, Cote D'Ivoire
Roman Wittig
Department of Human Behavior, Ecology and Culture, Max Planck Institute for Evolutionary Anthropolog|Ape Social Mind Lab, Institute of Cognitive Science Marc Jeannerod, UMR 5229, CNRS|Taï Chimpanzee Project, Centre Suisse de Recherches Scientifiques
Leipzig, Germany|Lyon, France|Abidjan, Cote D'Ivoire
Nikolaus Weiskopf
Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences|Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University|Wellcome Centre for Human Neuroimaging, Institute of Neurology, University College London
Leipzig, Germany|Leipzig, Germany|London, United Kingdom
Introduction:
The remarkable efficiency and precision in coordination of human hand movements surpass those of other species, including our closest living relatives, the great apes. The evolution of the human hand function was paralleled by the expansion of its functional representation in humans and great apes' motor and somatosensory cortices(1). Fine motor skills of the human hand, enabling complex tool manipulation tasks, require fast and precise neuronal control facilitated by myelinated intracortical and projection fibers within the motor cortex. In humans, the hand-controlling area in the motor cortex has higher levels of myelin as compared to the face-controlling area as shown by quantitative MRI (qMRI)(2) but it is not known whether this is a human-specific phenomenon, or if it is already observed in great apes. Herein, we compared the microstructure of the functional subdivisions within primary motor cortex in humans and chimpanzees using high resolution qMRI and characterized the lifespan trajectory of different cortical motor regions.
Methods:
Sixteen post mortem chimpanzee brains (8 f, age 1.1-52y) were collected in field sites, sanctuaries and zoos using an ethical pipeline(3) and studied with ultra-high resolution qMRI. In vivo qMRI data of ten human participants (6 f, 28 ± 3.6 y) from a previously published study were analyzed(4). QMRI were acquired at 7T using multi-parametric mapping(5,6) with 500μm and 300μm resolutions for humans and chimpanzees, respectively. Magnetization transfer saturation (MTsat) served as a myelin marker(7), the effective transverse relaxation rate (R2*) as a marker for iron content(8). Cortical surfaces for both species were reconstructed using the Freesurfer recon-all pipeline. Areas within the primary motor cortex controlling the hand, face, and foot movements were manually delineated based on sulcal anatomy (Fig. 1.A). Median R2* and MTsat values were extracted for the hand, face and foot regions and compared in paired t-tests. An exponential saturation model(9) for age-related increase of iron and myelin was fitted to R2* and MTsat values to characterize the lifespan trajectories in each cortical area. A time constant indicating the age at which around 63.2% of all age-related changes were completed was determined for each area within the motor cortex (Fig. 1.B right).
Results:
Differences in microstructure of the foot, hand and face regions of the motor cortex were observed in both species (Fig. 1.B) with significantly higher R2* in hand areas as compared to the foot and face areas, implying higher levels of cortical iron and myelin in the former. A non-significant tendency towards higher MTsat values in the hand area in humans was observed. In chimpanzees, significantly higher MTsat values for hand compared to face and foot areas were found. Developmental myelination and age-related iron accumulation of R2* and MTsat in chimpanzees are shown in Fig 1.B right. Age-related iron accumulation (measured with R2*) was described by a time constant of 30y±22 for all three regions. This is slower than values reported in the human motor cortex, which found iron accumulated with a time constant of 20 years(9). The developmental myelination in chimpanzees measured with MTsat was characterized by time constants 2.1y±0.5, 2.4y±0.5 and 2.4y±0.6 for face, hand and foot areas, respectively.

Conclusions:
For the first time we showed that microstructure of the hand knob area in the chimpanzee motor cortex is different from the subdivisions controlling other movements and thus that the evolution of hand motor skills is not only manifested in alterations to sulcal anatomy but also in pronounced changes of cortical microstructure. We found elevated myelin and iron content in the hand knob area in both species and characterized developmental myelination and iron accumulation within the chimpanzee motor cortex. These findings may enhance our understanding of the anatomical basis for distinct behaviors like remarkable tool use seen in hominids.
Motor Behavior:
Motor Planning and Execution
Neuroanatomy, Physiology, Metabolism and Neurotransmission:
Cortical Anatomy and Brain Mapping
Cortical Cyto- and Myeloarchitecture 1
Novel Imaging Acquisition Methods:
Anatomical MRI 2
Imaging Methods Other
Keywords:
ANIMAL STUDIES
Cross-Species Homologues
HIGH FIELD MR
Motor
STRUCTURAL MRI
Other - Chimpanzee Brain ; Hand
1|2Indicates the priority used for review
Provide references using author date format
1. Hopkins, W.D. (2014), 'Evolution of the Central Sulcus Morphology in Primates', Brain Behav Evol, 84 (1): 19–30
2. Kuehn, E. (2017), 'Body topography parcellates human sensory and motor cortex', Cerebral Cortex, 27(7) : 3790-3805
3. Gräßle, T. (2023), 'Sourcing high tissue quality brains from deceased wild primates with known socio-ecology', Methods in Ecology and Evolution, 2041–210X.14039
4. McColgan, P. (2021), 'Relating quantitative 7T MRI across cortical depths to cytoarchitectonics, gene expression and connectomics', Human Brain Mapping, 42.15: 4996-5009
5. Weiskopf, N. (2013), 'Quantitative multi-parameter mapping of R1, PD*, MT, and R2* at 3T: a multi-center validation', Frontiers in neuroscience, 7: 95
6. Lipp, I. (2022), 'B 1+-correction of MT saturation maps optimized for 7T postmortem MRI of the brain', bioRxiv, 2022-07
7. Sled, J.G. (2018), 'Modeling and interpretation of magnetization transfer imaging in the brain', Neuroimage, 182, 128–135
8. Stüber, C. (2014), 'Myelin and iron concentration in the human brain: A quantitative study of MRI contrast', Neuroimage, 93, 95–106
9. Hallgren, B. (1958), 'The effect of age on the non-haemin iron in the human brain', J.Neurochem, 3, 41–51