6 results on '"cerebral-cortex"'
Search Results
2. Processing complexity increases in superficial layers of human primary auditory cortex
- Author
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Michelle Moerel, Federico De Martino, Kâmil Uğurbil, Elia Formisano, Essa Yacoub, Maastricht Centre for Systems Biology, RS: FSE MaCSBio, RS: FPN MaCSBio, RS: FPN CN 2, and Audition
- Subjects
0301 basic medicine ,Male ,Computer science ,lcsh:Medicine ,Neocortex ,computer.software_genre ,0302 clinical medicine ,AREAS ,Image Processing, Computer-Assisted ,Natural sounds ,Audio signal processing ,lcsh:Science ,NEURONS ,RECEPTIVE-FIELDS ,media_common ,Brain Mapping ,Multidisciplinary ,7 T ,Human brain ,FUNCTIONAL MRI ,Magnetic Resonance Imaging ,Healthy Volunteers ,medicine.anatomical_structure ,Cerebral cortex ,Auditory Perception ,Female ,SENSITIVITY ,Adult ,media_common.quotation_subject ,NATURAL SOUNDS ,Auditory cortex ,Article ,03 medical and health sciences ,Laminar organization ,Young Adult ,Perception ,CEREBRAL-CORTEX ,medicine ,Humans ,Sound Localization ,Auditory Cortex ,lcsh:R ,RESPONSE PROPERTIES ,030104 developmental biology ,Receptive field ,lcsh:Q ,LAMINAR ORGANIZATION ,Neuroscience ,computer ,030217 neurology & neurosurgery - Abstract
The layers of the neocortex each have a unique anatomical connectivity and functional role. Their exploration in the human brain, however, has been severely restricted by the limited spatial resolution of non-invasive measurement techniques. Here, we exploit the sensitivity and specificity of ultra-high field fMRI at 7 Tesla to investigate responses to natural sounds at deep, middle, and superficial cortical depths of the human auditory cortex. Specifically, we compare the performance of computational models that represent different hypotheses on sound processing inside and outside the primary auditory cortex (PAC). We observe that while BOLD responses in deep and middle PAC layers are equally well represented by a simple frequency model and a more complex spectrotemporal modulation model, responses in superficial PAC are better represented by the more complex model. This indicates an increase in processing complexity in superficial PAC, which remains present throughout cortical depths in the non-primary auditory cortex. These results suggest that a relevant transformation in sound processing takes place between the thalamo-recipient middle PAC layers and superficial PAC. This transformation may be a first computational step towards sound abstraction and perception, serving to form an increasingly more complex representation of the physical input.
- Published
- 2019
3. Variation in a range of mTOR-related genes associates with intracranial volume and intellectual disability
- Author
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M. van Gastel, Tjitske Kleefstra, Eric Smeets, Alexander P.A. Stegmann, R. Pfundt, Nicholas Katsanis, Christian Gilissen, Ype Elgersma, Servi J. C. Stevens, M. Proietti-Onori, G. M. S. Mancini, Barbara Franke, G. M. van Woerden, Janita Bralten, Margot R.F. Reijnders, Stefan H. Lelieveld, Maria Kousi, T. van Essen, Perciliz L. Tan, Han G. Brunner, Marieke Klein, MUMC+: DA KG Lab Centraal Lab (9), Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Neurosciences, and Clinical Genetics
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0301 basic medicine ,General Physics and Astronomy ,SET ANALYSIS ,0302 clinical medicine ,MIGRATION DEFICITS ,Cell Movement ,Megalencephaly ,TUBEROUS SCLEROSIS COMPLEX ,INTRACTABLE EPILEPSY ,lcsh:Science ,Cells, Cultured ,Zebrafish ,IN-VIVO ,Genetics ,Neurons ,education.field_of_study ,Multidisciplinary ,biology ,TOR Serine-Threonine Kinases ,Brain ,Metabolic Disorders Radboud Institute for Molecular Life Sciences [Radboudumc 6] ,Human brain ,Organ Size ,medicine.anatomical_structure ,MESSENGER-RNA TRANSLATION ,Brain size ,RHEB ,Signal Transduction ,Science ,Population ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,Seizures ,Intellectual Disability ,CEREBRAL-CORTEX ,medicine ,Animals ,Humans ,Allele ,education ,Gene ,PI3K/AKT/mTOR pathway ,Cell Size ,Sirolimus ,Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7] ,CORTICAL DEVELOPMENT ,General Chemistry ,SOMATIC MUTATIONS ,medicine.disease ,030104 developmental biology ,MAMMALIAN TARGET ,Mutation ,biology.protein ,lcsh:Q ,Ras Homolog Enriched in Brain Protein ,030217 neurology & neurosurgery - Abstract
De novo mutations in specific mTOR pathway genes cause brain overgrowth in the context of intellectual disability (ID). By analyzing 101 mMTOR-related genes in a large ID patient cohort and two independent population cohorts, we show that these genes modulate brain growth in health and disease. We report the mTOR activator gene RHEB as an ID gene that is associated with megalencephaly when mutated. Functional testing of mutant RHEB in vertebrate animal models indicates pathway hyperactivation with a concomitant increase in cell and head size, aberrant neuronal migration, and induction of seizures, concordant with the human phenotype. This study reveals that tight control of brain volume is exerted through a large community of mTOR-related genes. Human brain volume can be altered, by either rare disruptive events causing hyperactivation of the pathway, or through the collective effects of common alleles., The mTOR pathway is a key regulator of normal brain development. Here, the authors identify de novo mutations in RHEB, an mTOR activator protein, in patients with intellectual disability associated with megalencephaly and find a role for RHEB in regulating neuronal soma size and migration in vitro and in vivo.
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- 2017
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4. A novel brain partition highlights the modular skeleton shared by structure and function
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Sebastiano Stramaglia, Paolo Bonifazi, Iñaki Escudero, Miguel A. Muñoz, Ibai Diez, Jesus M. Cortes, and Beatriz Mateos
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Male ,Theoretical computer science ,Computer science ,integration ,consciousness ,Quantitative Biology - Quantitative Methods ,Brain mapping ,diffusion MRI ,Cluster Analysis ,Default mode network ,Quantitative Methods (q-bio.QM) ,Brain Mapping ,Multidisciplinary ,medicine.diagnostic_test ,Functional connectivity ,resting-state networks ,Brain ,Human Connectome ,Human brain ,Middle Aged ,Complex network ,Magnetic Resonance Imaging ,medicine.anatomical_structure ,Cerebral cortex ,Schizophrenia ,cerebral-cortex ,connectivity ,Connectome ,Female ,Neurons and Cognition (q-bio.NC) ,default mode ,Adult ,Complex networks ,Brain Structure and Function ,Models, Biological ,Article ,Young Adult ,Neuroimaging ,medicine ,Humans ,human connectome ,Resting state fMRI ,business.industry ,MULTIDISCIPLINARY SCIENCES ,Magnetic resonance imaging ,medicine.disease ,Hierarchical clustering ,schizophrenia ,small world ,Quantitative Biology - Neurons and Cognition ,FOS: Biological sciences ,Artificial intelligence ,Functional magnetic resonance imaging ,business ,Diffusion MRI ,Neuroscience - Abstract
Elucidating the intricate relationship between brain structure and function, both in healthy and pathological conditions, is a key challenge for modern neuroscience. Recent technical and methodological progress in neuroimaging has helped advance our understanding of this important issue, with diffusion weighted images providing information about structural connectivity (SC) and functional magnetic resonance imaging shedding light on resting state functional connectivity (rsFC). However, comparing these two distinct datasets, each of which can be encoded into a different complex network, is by no means trivial as pairwise link-to-link comparisons represent a relatively restricted perspective and provide only limited information. Thus, we have adopted a more integrative systems approach, exploiting theoretical graph analyses to study both SC and rsFC datasets gathered independently from healthy human subjects. The aim is to find the main architectural traits shared by the structural and functional networks by paying special attention to their common hierarchical modular organization. This approach allows us to identify a common skeleton from which a new, optimal, brain partition can be extracted, with modules sharing both structure and function. We describe these emerging common structure-function modules (SFMs) in detail. In addition, we compare SFMs with the classical Resting State Networks derived from independent component analysis of rs-fMRI functional activity, as well as with anatomical parcellations in the Automated Anatomical Labeling atlas and with the Broadmann partition, highlighting their similitude and differences. The unveiling of SFMs brings to light the strong correspondence between brain structure and resting-state dynamics., Comment: Accepted in Nature Scientific Reports. 56 pages, 15 figures
- Published
- 2015
5. A novel brain partition highlights the modular skeleton shared by structure and function
- Author
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Biología celular e histología, Zelulen biologia eta histologia, Diez Palacio, Ibai, Bonifazi, Paolo, Escudero, Iñaki, Mateos, Beatriz, Muñoz, Miguel A., Stramaglia, Sebastiano, Cortés Díaz, Jesús María, Biología celular e histología, Zelulen biologia eta histologia, Diez Palacio, Ibai, Bonifazi, Paolo, Escudero, Iñaki, Mateos, Beatriz, Muñoz, Miguel A., Stramaglia, Sebastiano, and Cortés Díaz, Jesús María
- Abstract
Elucidating the intricate relationship between brain structure and function, both in healthy and pathological conditions, is a key challenge for modern neuroscience. Recent progress in neuroimaging has helped advance our understanding of this important issue, with diffusion images providing information about structural connectivity (SC) and functional magnetic resonance imaging shedding light on resting state functional connectivity (rsFC). Here, we adopt a systems approach, relying on modular hierarchical clustering, to study together SC and rsFC datasets gathered independently from healthy human subjects. Our novel approach allows us to find a common skeleton shared by structure and function from which a new, optimal, brain partition can be extracted. We describe the emerging common structure-function modules (SFMs) in detail and compare them with commonly employed anatomical or functional parcellations. Our results underline the strong correspondence between brain structure and resting-state dynamics as well as the emerging coherent organization of the human brain.
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- 2015
6. Recessive LAMC3 mutations cause malformations of occipital cortical development
- Author
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Tanyeri Barak, Richard P. Lifton, Ying Zhu, Alp Dinçer, Hande Kaymakçalan, Ali K. Ozturk, Ergin Atalar, Katja Doerschner, Kaya Bilguvar, Murat Gunel, Cengiz Yalcinkaya, Tayfun Ozcelik, Katsuhito Yasuno, Shrikant Mane, Mehmet Bakırcıoğlu, Huseyin Boyaci, Nenad Sestan, Angeliki Louvi, Richard A. Bronen, Ahmet Okay Caglayan, Murim Choi, Kenneth Y. Kwan, Veysi Demirbilek, Beyhan Tüysüz, Serap Saygi, Saliha Yilmaz, William J Brunken, Boyacı, Hüseyin, Doerschner, Katja, Atalar, Ergin, Özçelik, Tayfun, and Acibadem University Dspace
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Cerebral-cortex ,Infancy ,Gene Expression ,Expression ,Dendrite ,Compound heterozygosity ,medicine.disease_cause ,Homozygosity ,Turkey (republic) ,Cortical Plate Neuron ,Nerve Cell Differentiation ,Diffusion ,Consanguinity ,Mice ,Occipital Pachygyria ,Pregnancy ,Morphogenesis ,Exome ,Human Tissue ,Occipital Cortex ,Genetics ,Cerebral Cortex ,Neurons ,Mutation ,Clinical Article ,Heterozygosity ,Laminin Gamma3 ,Brain ,Nonsense Mutation ,Pachygyria ,Human brain ,Recessive Gene ,Synapse ,Magnetic Resonance Imaging ,Phenotype ,medicine.anatomical_structure ,Occipital Gyrus ,Embryo ,Cerebral cortex ,Unclassified Drug Animal Experiment ,Brain Malformation ,Priority Journal ,Occipital Lobe ,Nerve Cell ,Cell Compartmentalization ,Human ,Gene Sequence ,Occipital Cortical Malformation ,Nonsense mutation ,Mitosis ,Genes, Recessive ,Biology ,Article ,Human Prefrontal Cortex ,Central-nervous-system ,Fetus ,Species Specificity ,Exome Sequencing ,medicine ,Animals ,Humans ,Family ,Controlled Study ,Laminin Gamma-3 Chain ,Codon ,Human Cell ,Molecule ,Nucleotide Sequence ,Nonhuman ,medicine.disease ,Microgyria ,Somatodendritic compartment ,Polymicrogyria ,Human Brain ,Protein Localization ,Laminin ,Occipital lobe ,Gene Deletion - Abstract
Cataloged from PDF version of article. The biological basis for regional and inter-species differences in cerebral cortical morphology is poorly understood. We focused on consanguineous Turkish families with a single affected member with complex bilateral occipital cortical gyration abnormalities. By using whole-exome sequencing, we initially identified a homozygous 2-bp deletion in LAMC3, the laminin 33 gene, leading to an immediate premature termination codon. In two other affected individuals with nearly identical phenotypes, we identified a homozygous nonsense mutation and a compound heterozygous mutation. In human but not mouse fetal brain, LAMC3 is enriched in postmitotic cortical plate neurons, localizing primarily to the somatodendritic compartment. LAMC3 expression peaks between late gestation and late infancy, paralleling the expression of molecules that are important in dendritogenesis and synapse formation. The discovery of the molecular basis of this unusual occipital malformation furthers our understanding of the complex biology underlying the formation of cortical gyrations. © 2011 Nature America, Inc. All rights reserved.
- Published
- 2011
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