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Hosseini E, Sepehrinezhad A, Momeni J, Ascenzi BM, Gorji A, Sahab-Negah S. The Telencephalon. FROM ANATOMY TO FUNCTION OF THE CENTRAL NERVOUS SYSTEM 2025:401-427. [DOI: 10.1016/b978-0-12-822404-5.00014-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
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2
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Chareyron LJ, Chong WK, Banks T, Burgess N, Saunders RC, Vargha-Khadem F. Anatomo-functional changes in neural substrates of cognitive memory in developmental amnesia: Insights from automated and manual Magnetic Resonance Imaging examinations. Hippocampus 2024; 34:645-658. [PMID: 39268888 PMCID: PMC11489024 DOI: 10.1002/hipo.23638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 08/13/2024] [Accepted: 09/01/2024] [Indexed: 09/15/2024]
Abstract
Despite bilateral hippocampal damage dating to the perinatal or early childhood period and severely impaired episodic memory, patients with developmental amnesia continue to exhibit well-developed semantic memory across the developmental trajectory. Detailed information on the extent and focality of brain damage in these patients is needed to hypothesize about the neural substrate that supports their remarkable capacity for encoding and retrieval of semantic memory. In particular, we need to assess whether the residual hippocampal tissue is involved in this preservation, or whether the surrounding cortical areas reorganize to rescue aspects of these critical cognitive memory processes after early injury. We used voxel-based morphometry (VBM) analysis, automatic (FreeSurfer) and manual segmentation to characterize structural changes in the brain of an exceptionally large cohort of 23 patients with developmental amnesia in comparison with 32 control subjects. Both the VBM and the FreeSurfer analyses revealed severe structural alterations in the hippocampus and thalamus of patients with developmental amnesia. Milder damage was found in the amygdala, caudate, and parahippocampal gyrus. Manual segmentation demonstrated differences in the degree of atrophy of the hippocampal subregions in patients. The level of atrophy in CA-DG subregions and subicular complex was more than 40%, while the atrophy of the uncus was moderate (-24%). Anatomo-functional correlations were observed between the volumes of residual hippocampal subregions in patients and selective aspects of their cognitive performance, viz, intelligence, working memory, and verbal and visuospatial recall. Our findings suggest that in patients with developmental amnesia, cognitive processing is compromised as a function of the extent of atrophy in hippocampal subregions. More severe hippocampal damage may be more likely to promote structural and/or functional reorganization in areas connected to the hippocampus. In this hypothesis, different levels of hippocampal function may be rescued following this variable reorganization. Our findings document not only the extent, but also the limits of circuit reorganization occurring in the young brain after early bilateral hippocampal damage.
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Affiliation(s)
- Loïc J. Chareyron
- Cognitive Neuroscience and Neuropsychiatry, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, WC1N 1EH London, UK
- Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, 1015 Lausanne, Switzerland
| | - W.K. Kling Chong
- Developmental Imaging & Biophysics, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, WC1N 1EH London, UK
| | - Tina Banks
- Developmental Imaging & Biophysics, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, WC1N 1EH London, UK
| | - Neil Burgess
- Institute of Cognitive Neuroscience, University College London, WC1N 3AZ London, UK
| | - Richard C. Saunders
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892
| | - Faraneh Vargha-Khadem
- Cognitive Neuroscience and Neuropsychiatry, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, WC1N 1EH London, UK
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3
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Villard J, Chareyron LJ, Lavenex PB, Amaral DG, Lavenex P. Stereological Analysis of the Rhesus Monkey Perirhinal and Parahippocampal Cortices. J Comp Neurol 2024; 532:e25684. [PMID: 39552202 PMCID: PMC11812466 DOI: 10.1002/cne.25684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 10/03/2024] [Accepted: 10/23/2024] [Indexed: 11/19/2024]
Abstract
The perirhinal and parahippocampal cortices are key components of the medial temporal lobe memory system. Despite their essential roles in mnemonic and perceptual functions, there is limited quantitative information regarding their structural characteristics. Here, we implemented design-based stereological techniques to provide estimates of neuron number, neuronal soma size, and volume of the different layers and subdivisions of the perirhinal and parahippocampal cortices in adult macaque monkeys (Macaca mulatta, 5-9 years of age). We found that areas 36r and 36c of the perirhinal cortex and areas TF and TH of the parahippocampal cortex exhibit relatively large superficial layers, which are characteristic of the laminar organization of higher order associational cortices. In contrast, area 35 of the perirhinal cortex exhibits relatively large deep layers. Although neuronal soma size varies between subdivisions and layers, neurons are generally larger in the perirhinal cortex than in the parahippocampal cortex and even larger in the entorhinal cortex. These morphological characteristics are consistent with the hierarchical organization of these cortices within the medial temporal lobe. Comparing data in rats, monkeys, and humans, we found species differences in the relative size of these structures, showing that the perirhinal and parahippocampal cortices have expanded in parallel to the cerebral cortex and may play a greater role in the integration of information in the neocortical-hippocampal loop in primates. Altogether, these normative data provide an essential reference to extrapolate findings from experimental studies in animals and create realistic models of the medial temporal lobe memory system.
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Affiliation(s)
- Justine Villard
- Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, Switzerland
| | - Loïc J. Chareyron
- Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, Switzerland
- Cognitive Neuroscience and Neuropsychiatry, Developmental Neurosciences, University College London Great Ormond Street Institute of Child Health, WC1N 1EH London, UK
| | - Pamela Banta Lavenex
- Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, Switzerland
- Faculty of Psychology, UniDistance Suisse, Switzerland
| | - David G. Amaral
- MIND Institute and Department of Psychiatry and Behavioral Sciences, University of California at Davis
- California National Primate Research Center, University of California at Davis
| | - Pierre Lavenex
- Laboratory of Brain and Cognitive Development, Institute of Psychology, University of Lausanne, Switzerland
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4
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Skandalakis GP, Linn W, Yeh F, Kazim SF, Komaitis S, Neromyliotis E, Dimopoulos D, Drosos E, Hadjipanayis CG, Kongkham PN, Zadeh G, Stranjalis G, Koutsarnakis C, Kogan M, Evans LT, Kalyvas A. Unveiling the axonal connectivity between the precuneus and temporal pole: Structural evidence from the cingulum pathways. Hum Brain Mapp 2024; 45:e26771. [PMID: 38925589 PMCID: PMC11199201 DOI: 10.1002/hbm.26771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/17/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
Neuroimaging studies have consistently demonstrated concurrent activation of the human precuneus and temporal pole (TP), both during resting-state conditions and various higher-order cognitive functions. However, the precise underlying structural connectivity between these brain regions remains uncertain despite significant advancements in neuroscience research. In this study, we investigated the connectivity of the precuneus and TP by employing parcellation-based fiber micro-dissections in human brains and fiber tractography techniques in a sample of 1065 human subjects and a sample of 41 rhesus macaques. Our results demonstrate the connectivity between the posterior precuneus area POS2 and the areas 35, 36, and TG of the TP via the fifth subcomponent of the cingulum (CB-V) also known as parahippocampal cingulum. This finding contributes to our understanding of the connections within the posteromedial cortices, facilitating a more comprehensive integration of anatomy and function in both normal and pathological brain processes. PRACTITIONER POINTS: Our investigation delves into the intricate architecture and connectivity patterns of subregions within the precuneus and temporal pole, filling a crucial gap in our knowledge. We revealed a direct axonal connection between the posterior precuneus (POS2) and specific areas (35, 35, and TG) of the temporal pole. The direct connections are part of the CB-V pathway and exhibit a significant association with the cingulum, SRF, forceps major, and ILF. Population-based human tractography and rhesus macaque fiber tractography showed consistent results that support micro-dissection outcomes.
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Affiliation(s)
- Georgios P. Skandalakis
- Section of NeurosurgeryDartmouth Hitchcock Medical CenterLebanonNew HampshireUSA
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Wen‐Jieh Linn
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Fang‐Cheng Yeh
- Department of Neurological SurgeryUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Syed Faraz Kazim
- Department of NeurosurgeryUniversity of New Mexico HospitalAlbuquerqueNew MexicoUSA
| | - Spyridon Komaitis
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Eleftherios Neromyliotis
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Dimitrios Dimopoulos
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Evangelos Drosos
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | | | - Paul N. Kongkham
- Department of NeurosurgeryToronto Western Hospital, University Health NetworkTorontoOntarioCanada
| | - Gelareh Zadeh
- Department of NeurosurgeryToronto Western Hospital, University Health NetworkTorontoOntarioCanada
| | - George Stranjalis
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Christos Koutsarnakis
- Department of NeurosurgeryNational and Kapodistrian University of Athens School of MedicineAthensGreece
| | - Michael Kogan
- Department of NeurosurgeryUniversity of New Mexico HospitalAlbuquerqueNew MexicoUSA
| | - Linton T. Evans
- Section of NeurosurgeryDartmouth Hitchcock Medical CenterLebanonNew HampshireUSA
| | - Aristotelis Kalyvas
- Department of NeurosurgeryToronto Western Hospital, University Health NetworkTorontoOntarioCanada
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5
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Chareyron LJ, Chong WKK, Banks T, Burgess N, Saunders RC, Vargha-Khadem F. Anatomo-functional changes in neural substrates of cognitive memory in developmental amnesia: Insights from automated and manual MRI examinations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.01.23.525152. [PMID: 36789443 PMCID: PMC9928053 DOI: 10.1101/2023.01.23.525152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Despite bilateral hippocampal damage dating to perinatal or early-childhood period, and severely-impaired episodic memory that unfolds in later childhood, patients with developmental amnesia continue to exhibit well-developed semantic memory across the developmental trajectory. Detailed information on the extent and focality of brain damage in these patients is needed to hypothesize about the neural substrate that supports their remarkable capacity for encoding and retrieval of semantic memory. In particular, we need to assess whether the residual hippocampal tissue is involved in this preservation, or whether the surrounding cortical areas reorganise to rescue aspects of these critical cognitive memory processes after early injury. We used voxel-based morphometry (VBM) analysis, automatic (FreeSurfer) and manual segmentation to characterize structural changes in the brain of an exceptionally large cohort of 23 patients with developmental amnesia in comparison with 32 control subjects. Both the VBM and the FreeSurfer analyses revealed severe structural alterations in the hippocampus and thalamus of patients with developmental amnesia. Milder damage was found in the amygdala, caudate and parahippocampal gyrus. Manual segmentation demonstrated differences in the degree of atrophy of the hippocampal subregions in patients. The level of atrophy in CA-DG subregions and subicular complex was more than 40% while the atrophy of the uncus was moderate (-23%). Anatomo-functional correlations were observed between the volumes of residual hippocampal subregions in patients and selective aspects of their cognitive performance viz, intelligence, working memory, and verbal and visuospatial recall. Our findings suggest that in patients with developmental amnesia, cognitive processing is compromised as a function of the extent of atrophy in hippocampal subregions, such that the greater the damage, the more likely it is that surrounding cortical areas will be recruited to rescue the putative functions of the damaged subregions. Our findings document for the first time not only the extent, but also the limits of circuit reorganization occurring in the young brain after early bilateral hippocampal damage.
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6
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Mann LG, Claassen DO. Mesial temporal dopamine: From biology to behaviour. Eur J Neurosci 2024; 59:1141-1152. [PMID: 38057945 DOI: 10.1111/ejn.16209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/08/2023] [Accepted: 11/14/2023] [Indexed: 12/08/2023]
Abstract
While colloquially recognized for its role in pleasure, reward, and affect, dopamine is also necessary for proficient action control. Many motor studies focus on dopaminergic transmission along the nigrostriatal pathway, using Parkinson's disease as a model of a dorsal striatal lesion. Less attention to the mesolimbic pathway and its role in motor control has led to an important question related to the limbic-motor network. Indeed, secondary targets of the mesolimbic pathway include the hippocampus and amygdala, and these are linked to the motor cortex through the substantia nigra and thalamus. The modulatory impact of dopamine in the hippocampus and amygdala in humans is a focus of current investigations. This review explores dopaminergic activity in the mesial temporal lobe by summarizing dopaminergic networks and transmission in these regions and examining their role in behaviour and disease.
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Affiliation(s)
- Leah G Mann
- Vanderbilt Brain Institute, Vanderbilt University, Nashville, Tennessee, USA
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Daniel O Claassen
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Sasaki T, Makris N, Shenton ME, Savadjiev P, Rathi Y, Eckbo R, Bouix S, Yeterian E, Dickerson BC, Kubicki M. Structural connectivity of cytoarchitectonically distinct human left temporal pole subregions: a diffusion MRI tractography study. Front Neuroanat 2023; 17:1240545. [PMID: 38090110 PMCID: PMC10713846 DOI: 10.3389/fnana.2023.1240545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 10/09/2023] [Indexed: 02/01/2024] Open
Abstract
The temporal pole (TP) is considered one of the major paralimbic cortical regions, and is involved in a variety of functions such as sensory perception, emotion, semantic processing, and social cognition. Based on differences in cytoarchitecture, the TP can be further subdivided into smaller regions (dorsal, ventrolateral and ventromedial), each forming key nodes of distinct functional networks. However, the brain structural connectivity profile of TP subregions is not fully clarified. Using diffusion MRI data in a set of 31 healthy subjects, we aimed to elucidate the comprehensive structural connectivity of three cytoarchitectonically distinct TP subregions. Diffusion tensor imaging (DTI) analysis suggested that major association fiber pathways such as the inferior longitudinal, middle longitudinal, arcuate, and uncinate fasciculi provide structural connectivity to the TP. Further analysis suggested partially overlapping yet still distinct structural connectivity patterns across the TP subregions. Specifically, the dorsal subregion is strongly connected with wide areas in the parietal lobe, the ventrolateral subregion with areas including constituents of the default-semantic network, and the ventromedial subregion with limbic and paralimbic areas. Our results suggest the involvement of the TP in a set of extensive but distinct networks of cortical regions, consistent with its functional roles.
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Affiliation(s)
- Takeshi Sasaki
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
- Department of Psychiatry and Behavioral Sciences, Tokyo Medical and Dental University Graduate School, Tokyo, Japan
| | - Nikos Makris
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Martha E. Shenton
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Peter Savadjiev
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Ryan Eckbo
- Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Department of Software Engineering and Information Technology, École de Technologie Supérieure, Montréal, QC, Canada
| | - Edward Yeterian
- Department of Psychology, Colby College, Waterville, ME, United States
| | - Bradford C. Dickerson
- Frontotemporal Disorders Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Center for Morphometric Analysis, Department of Psychiatry, Neurology, and Radiology Services, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States
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8
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Cano-Astorga N, Plaza-Alonso S, DeFelipe J, Alonso-Nanclares L. 3D synaptic organization of layer III of the human anterior cingulate and temporopolar cortex. Cereb Cortex 2023; 33:9691-9708. [PMID: 37455478 PMCID: PMC10472499 DOI: 10.1093/cercor/bhad232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 07/18/2023] Open
Abstract
The human anterior cingulate and temporopolar cortices have been proposed as highly connected nodes involved in high-order cognitive functions, but their synaptic organization is still basically unknown due to the difficulties involved in studying the human brain. Using Focused Ion Beam/Scanning Electron Microscopy (FIB/SEM) to study the synaptic organization of the human brain obtained with a short post-mortem delay allows excellent results to be obtained. We have used this technology to analyze layer III of the anterior cingulate cortex (Brodmann area 24) and the temporopolar cortex, including the temporal pole (Brodmann area 38 ventral and dorsal) and anterior middle temporal gyrus (Brodmann area 21). Our results, based on 6695 synaptic junctions fully reconstructed in 3D, revealed that Brodmann areas 24, 21 and ventral area 38 showed similar synaptic density and synaptic size, whereas dorsal area 38 displayed the highest synaptic density and the smallest synaptic size. However, the proportion of the different types of synapses (excitatory and inhibitory), the postsynaptic targets, and the shapes of excitatory and inhibitory synapses were similar, regardless of the region examined. These observations indicate that certain aspects of the synaptic organization are rather homogeneous, whereas others show specific variations across cortical regions.
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Affiliation(s)
- Nicolás Cano-Astorga
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
- Instituto Cajal, Consejo Superior de Investigaciones Científicas (CSIC), Avda. Doctor Arce 37, 28002 Madrid, Spain
- PhD Program in Neuroscience, Autonoma de Madrid University - Cajal Institute, 28029 Madrid, Spain
| | - Sergio Plaza-Alonso
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
- Instituto Cajal, Consejo Superior de Investigaciones Científicas (CSIC), Avda. Doctor Arce 37, 28002 Madrid, Spain
| | - Javier DeFelipe
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
- Instituto Cajal, Consejo Superior de Investigaciones Científicas (CSIC), Avda. Doctor Arce 37, 28002 Madrid, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), ISCIII, Valderrebollo 5, 28031 Madrid, Spain
| | - Lidia Alonso-Nanclares
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
- Instituto Cajal, Consejo Superior de Investigaciones Científicas (CSIC), Avda. Doctor Arce 37, 28002 Madrid, Spain
- Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), ISCIII, Valderrebollo 5, 28031 Madrid, Spain
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9
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Insausti R, Insausti AM, Muñoz López M, Medina Lorenzo I, Arroyo-Jiménez MDM, Marcos Rabal MP, de la Rosa-Prieto C, Delgado-González JC, Montón Etxeberria J, Cebada-Sánchez S, Raspeño-García JF, Iñiguez de Onzoño MM, Molina Romero FJ, Benavides-Piccione R, Tapia-González S, Wisse LEM, Ravikumar S, Wolk DA, DeFelipe J, Yushkevich P, Artacho-Pérula E. Ex vivo, in situ perfusion protocol for human brain fixation compatible with microscopy, MRI techniques, and anatomical studies. Front Neuroanat 2023; 17:1149674. [PMID: 37034833 PMCID: PMC10076536 DOI: 10.3389/fnana.2023.1149674] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 02/28/2023] [Indexed: 04/11/2023] Open
Abstract
We present a method for human brain fixation based on simultaneous perfusion of 4% paraformaldehyde through carotids after a flush with saline. The left carotid cannula is used to perfuse the body with 10% formalin, to allow further use of the body for anatomical research or teaching. The aim of our method is to develop a vascular fixation protocol for the human brain, by adapting protocols that are commonly used in experimental animal studies. We show that a variety of histological procedures can be carried out (cyto- and myeloarchitectonics, histochemistry, immunohistochemistry, intracellular cell injection, and electron microscopy). In addition, ex vivo, ex situ high-resolution MRI (9.4T) can be obtained in the same specimens. This procedure resulted in similar morphological features to those obtained by intravascular perfusion in experimental animals, provided that the postmortem interval was under 10 h for several of the techniques used and under 4 h in the case of intracellular injections and electron microscopy. The use of intravascular fixation of the brain inside the skull provides a fixed whole human brain, perfectly fitted to the skull, with negligible deformation compared to conventional techniques. Given this characteristic of ex vivo, in situ fixation, this procedure can probably be considered the most suitable one available for ex vivo MRI scans of the brain. We describe the compatibility of the method proposed for intravascular fixation of the human brain and fixation of the donor's body for anatomical purposes. Thus, body donor programs can provide human brain tissue, while the remainder of the body can also be fixed for anatomical studies. Therefore, this method of human brain fixation through the carotid system optimizes the procurement of human brain tissue, allowing a greater understanding of human neurological diseases, while benefiting anatomy departments by making the remainder of the body available for teaching purposes.
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Affiliation(s)
- Ricardo Insausti
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Ana María Insausti
- Department of Health, School of Medicine, Public University of Navarra, Pamplona, Spain
| | - Mónica Muñoz López
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Isidro Medina Lorenzo
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Maria del Mar Arroyo-Jiménez
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - María Pilar Marcos Rabal
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Carlos de la Rosa-Prieto
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - José Carlos Delgado-González
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Javier Montón Etxeberria
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Sandra Cebada-Sánchez
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Juan Francisco Raspeño-García
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - María Mercedes Iñiguez de Onzoño
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Francisco Javier Molina Romero
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
| | - Ruth Benavides-Piccione
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, and Instituto Cajal, CSIC, Madrid, Spain
| | - Silvia Tapia-González
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, and Instituto Cajal, CSIC, Madrid, Spain
| | | | - Sadhana Ravikumar
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - David A. Wolk
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Javier DeFelipe
- Laboratorio Cajal de Circuitos Corticales, Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, and Instituto Cajal, CSIC, Madrid, Spain
| | - Paul Yushkevich
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
| | - Emilio Artacho-Pérula
- Human Neuroanatomy Laboratory, Neuromax CSIC Associated Unit, Medical Sciences Department, School of Medicine and CRIB, University of Castilla La Mancha, Albacete, Spain
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10
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Mesulam MM. Temporopolar regions of the human brain. Brain 2023; 146:20-41. [PMID: 36331542 DOI: 10.1093/brain/awac339] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/26/2022] [Accepted: 08/29/2022] [Indexed: 11/06/2022] Open
Abstract
Following prolonged neglect during the formative decades of behavioural neurology, the temporopolar region has become a site of vibrant research on the neurobiology of cognition and conduct. This turnaround can be attributed to increasing recognition of neurodegenerative diseases that target temporopolar regions for peak destruction. The resultant syndromes include behavioural dementia, associative agnosia, semantic forms of primary progressive aphasia and semantic dementia. Clinicopathological correlations show that object naming and word comprehension are critically dependent on the language-dominant (usually left) temporopolar region, whereas behavioural control and non-verbal object recognition display a more bilateral representation with a rightward bias. Neuroanatomical experiments in macaques and neuroimaging in humans show that the temporoparietal region sits at the confluence of auditory, visual and limbic streams of processing at the downstream (deep) pole of the 'what' pathway. The functional neuroanatomy of this region revolves around three axes, an anterograde horizontal axis from unimodal to heteromodal and paralimbic cortex; a radial axis where visual (ventral), auditory (dorsal) and paralimbic (medial) territories encircle temporopolar cortex and display hemispheric asymmetry; and a vertical depth-of-processing axis for the associative elaboration of words, objects and interoceptive states. One function of this neural matrix is to support the transformation of object and word representations from unimodal percepts to multimodal concepts. The underlying process is likely to start at canonical gateways that successively lead to generic (superordinate), specific (basic) and unique levels of recognition. A first sign of left temporopolar dysfunction takes the form of taxonomic blurring where boundaries among categories are preserved but not boundaries among exemplars of a category. Semantic paraphasias and coordinate errors in word-picture verification tests are consequences of this phenomenon. Eventually, boundaries among categories are also blurred and comprehension impairments become more profound. The medial temporopolar region belongs to the amygdalocentric component of the limbic system and stands to integrate exteroceptive information with interoceptive states underlying social interactions. Review of the pertinent literature shows that word comprehension and conduct impairments caused by temporopolar strokes and temporal lobectomy are far less severe than those seen in temporopolar atrophies. One explanation for this unexpected discrepancy invokes the miswiring of residual temporopolar neurons during the many years of indolently progressive neurodegeneration. According to this hypothesis, the temporopolar regions become not only dysfunctional but also sources of aberrant outputs that interfere with the function of areas elsewhere in the language and paralimbic networks, a juxtaposition not seen in lobectomy or stroke.
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Affiliation(s)
- M Marsel Mesulam
- Mesulam Center for Cognitive Neurology and Alzheimer's Disease, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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Setton R, Mwilambwe-Tshilobo L, Sheldon S, Turner GR, Spreng RN. Hippocampus and temporal pole functional connectivity is associated with age and individual differences in autobiographical memory. Proc Natl Acad Sci U S A 2022; 119:e2203039119. [PMID: 36191210 PMCID: PMC9564102 DOI: 10.1073/pnas.2203039119] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 08/02/2022] [Indexed: 11/18/2022] Open
Abstract
Recollection of one's personal past, or autobiographical memory (AM), varies across individuals and across the life span. This manifests in the amount of episodic content recalled during AM, which may reflect differences in associated functional brain networks. We take an individual differences approach to examine resting-state functional connectivity of temporal lobe regions known to coordinate AM content retrieval with the default network (anterior and posterior hippocampus, temporal pole) and test for associations with AM. Multiecho resting-state functional magnetic resonance imaging (fMRI) and autobiographical interviews were collected for 158 younger and 105 older healthy adults. Interviews were scored for internal (episodic) and external (semantic) details. Age group differences in connectivity profiles revealed that older adults had lower connectivity within anterior hippocampus, posterior hippocampus, and temporal pole but greater connectivity with regions across the default network compared with younger adults. This pattern was positively related to posterior hippocampal volumes in older adults, which were smaller than younger adult volumes. Connectivity associations with AM showed two significant patterns. The first dissociated connectivity related to internal vs. external AM across participants. Internal AM was related to anterior hippocampus and temporal pole connectivity with orbitofrontal cortex and connectivity within posterior hippocampus. External AM was related to temporal pole connectivity with regions across the lateral temporal cortex. In the second pattern, younger adults displayed temporal pole connectivity with regions throughout the default network associated with more detailed AMs overall. Our findings provide evidence for discrete ensembles of brain regions that scale with systematic variation in recollective styles across the healthy adult life span.
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Affiliation(s)
- Roni Setton
- Department of Psychology, Harvard University, Cambridge, MA, 02138
| | - Laetitia Mwilambwe-Tshilobo
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
| | - Signy Sheldon
- Department of Psychology, McGill University, Montreal, QC, H3A 1G1, Canada
| | - Gary R. Turner
- Department of Psychology, York University, Toronto, ON, M3J 1P3, Canada
| | - R. Nathan Spreng
- Montreal Neurological Institute, Department of Neurology and Neurosurgery, McGill University, Montreal, QC, H3A 2B4, Canada
- Department of Psychology, McGill University, Montreal, QC, H3A 1G1, Canada
- McConnell Brain Imaging Centre, McGill University, Montreal, QC, H3A 2B4, Canada
- Department of Psychiatry, McGill University, Montreal, QC, H3A 1A1, Canada
- Douglas Mental Health University Institute, Verdun, QC, H4H 1R3, Canada
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12
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Hinojosa-Aguayo I, Garcia-Burgos D, Catena A, González F. Implicit and explicit measures of the sensory and hedonic analysis of beer: The role of tasting expertise. Food Res Int 2022; 152:110873. [DOI: 10.1016/j.foodres.2021.110873] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 11/30/2021] [Accepted: 12/04/2021] [Indexed: 11/29/2022]
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Park HY, Jang YE, Sunwoo L, Yoon IY, Park B. A Longitudinal Study on Attenuated Structural Covariance in Patients With Somatic Symptom Disorder. Front Psychiatry 2022; 13:817527. [PMID: 35656354 PMCID: PMC9152139 DOI: 10.3389/fpsyt.2022.817527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE This study was performed to investigate altered regional gray matter volume (rGMV) and structural covariance related to somatic symptom disorder (SSD) and longitudinal changes after treatment. Additionally, this study examined the relationships of structural alteration with its phenotypic subtypes. METHODS Forty-three unmedicated patients with SSD and thirty normal controls completed psychological questionnaires and neurocognitive tests, as well as brain magnetic resonance imaging. Voxel-based morphometry and structural covariances were compared between groups and between subgroups within the SSD group. After 6 months of treatment, SSD patients were followed up for assessments. RESULTS Patients with SSD exhibited attenuated structural covariances in the pallidal-cerebellar circuit (FDR < 0.05-0.1), as well as regions in the default mode and sensorimotor network (FDR < 0.2), compared to normal controls. The cerebellar rGMVs were negatively correlated with the severity of somatic symptoms. In subgroup analyses, patients with somatic pain showed denser structural covariances between the bilateral superior temporal pole and left angular gyrus, the left middle temporal pole and left angular gyrus, and the left amygdala and right inferior orbitofrontal gyrus, while patients with headache and dizziness had greater structural covariance between the right inferior temporal gyrus and right cerebellum (FDR < 0.1-0.2). After 6 months of treatment, patients showed improved symptoms, however there was no significant structural alteration. CONCLUSION The findings suggest that attenuated structural covariance may link to dysfunctional brain network and vulnerability to SSD; they also suggested that specific brain regions and networks may contribute to different subtypes of SSD.
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Affiliation(s)
- Hye Youn Park
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Ye Eun Jang
- Human Rights Center, Hyupsung University, Hwaseong, South Korea
| | - Leonard Sunwoo
- Department of Radiology, Seoul National University Bundang Hospital, Seongnam, South Korea.,Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea
| | - In-Young Yoon
- Department of Psychiatry, Seoul National University Bundang Hospital, Seongnam, South Korea.,Department of Psychiatry, Seoul National University College of Medicine, Seoul, South Korea
| | - Bumhee Park
- Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.,Office of Biostatistics, Medical Research Collaborating Center, Ajou Research Institute for Innovative Medicine, Ajou University Medical Center, Suwon, South Korea
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Zachlod D, Kedo O, Amunts K. Anatomy of the temporal lobe: From macro to micro. HANDBOOK OF CLINICAL NEUROLOGY 2022; 187:17-51. [PMID: 35964970 DOI: 10.1016/b978-0-12-823493-8.00009-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The temporal cortex encompasses a large number of different areas ranging from the six-layered isocortex to the allocortex. The areas support auditory, visual, and language processing, as well as emotions and memory. The primary auditory cortex is found at the Heschl gyri, which develop early in ontogeny with the Sylvian fissure, a deep and characteristic fissure that separates the temporal lobe from the parietal and frontal lobes. Gyri and sulci as well as brain areas vary between brains and between hemispheres, partly linked to the functional organization of language and lateralization. Interindividual variability in anatomy makes a direct comparison between different brains in structure-functional analysis often challenging, but can be addressed by applying cytoarchitectonic probability maps of the Julich-Brain atlas. We review the macroanatomy of the temporal lobe, its variability and asymmetry at the macro- and the microlevel, discuss the relationship to brain areas and their microstructure, and emphasize the advantage of a multimodal approach to address temporal lobe organization. We review recent data on combined cytoarchitectonic and molecular architectonic studies of temporal areas, and provide links to their function.
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Affiliation(s)
- Daniel Zachlod
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany
| | - Olga Kedo
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany
| | - Katrin Amunts
- Institute of Neuroscience and Medicine, INM-1, Research Centre Juelich, Juelich, Germany; C&O Vogt Institute for Brain Research, University Hospital Düsseldorf, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany.
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15
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Liu L, Fan J, Zhan H, Huang J, Cao R, Xiang X, Tian S, Ren H, Tong M, Li Q. Abnormal regional signal in the left cerebellum as a potential neuroimaging biomarker of sudden sensorineural hearing loss. Front Psychiatry 2022; 13:967391. [PMID: 35935421 PMCID: PMC9354585 DOI: 10.3389/fpsyt.2022.967391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2022] [Accepted: 06/30/2022] [Indexed: 11/26/2022] Open
Abstract
OBJECTIVE While prior reports have characterized visible changes in neuroimaging findings in individuals suffering from sudden sensorineural hearing loss (SSNHL), the utility of regional homogeneity (ReHo) as a means of diagnosing SSNHL has yet to be established. The present study was thus conducted to assess ReHo abnormalities in SSNHL patients and to establish whether these abnormalities offer value as a diagnostic neuroimaging biomarker of SSNHL through a support vector machine (SVM) analysis approach. METHODS Resting-state functional magnetic resonance imaging (rs-fMRI) analyses of 27 SSNHL patients and 27 normal controls were conducted, with the resultant imaging data then being analyzed based on a combination of ReHo and SVM approaches. RESULTS Relative to normal control individuals, patients diagnosed with SSNHL exhibited significant reductions in ReHo values in the left cerebellum, bilateral inferior temporal gyrus (ITG), left superior temporal pole (STP), right parahippocampal gyrus (PHG), left posterior cingulum cortex (PCC), and right superior frontal gyrus (SFG). SVM analyses suggested that reduced ReHo values in the left cerebellum were associated with high levels of diagnostic accuracy (96.30%, 52/54), sensitivity (92.59%, 25/27), and specificity (100.00%, 27/27) when distinguishing between SSNHL patients and control individuals. CONCLUSION These data suggest that SSNHL patients exhibit abnormal resting-state neurological activity, with changes in the ReHo of the left cerebellum offering value as a diagnostic neuroimaging biomarker associated with this condition.
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Affiliation(s)
- Lei Liu
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Jun Fan
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Hui Zhan
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Junli Huang
- Department of Medical Imaging, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Rui Cao
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Xiaoran Xiang
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Shuai Tian
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Hongwei Ren
- Department of Medical Imaging, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Miao Tong
- Department of Stomatology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
| | - Qian Li
- Department of Otorhinolaryngology, Tianyou Hospital, Affiliated to Wuhan University of Science and Technology, Wuhan, China
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16
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Frangou S, Modabbernia A, Williams SCR, Papachristou E, Doucet GE, Agartz I, Aghajani M, Akudjedu TN, Albajes‐Eizagirre A, Alnæs D, Alpert KI, Andersson M, Andreasen NC, Andreassen OA, Asherson P, Banaschewski T, Bargallo N, Baumeister S, Baur‐Streubel R, Bertolino A, Bonvino A, Boomsma DI, Borgwardt S, Bourque J, Brandeis D, Breier A, Brodaty H, Brouwer RM, Buitelaar JK, Busatto GF, Buckner RL, Calhoun V, Canales‐Rodríguez EJ, Cannon DM, Caseras X, Castellanos FX, Cervenka S, Chaim‐Avancini TM, Ching CRK, Chubar V, Clark VP, Conrod P, Conzelmann A, Crespo‐Facorro B, Crivello F, Crone EA, Dale AM, Dannlowski U, Davey C, de Geus EJC, de Haan L, de Zubicaray GI, den Braber A, Dickie EW, Di Giorgio A, Doan NT, Dørum ES, Ehrlich S, Erk S, Espeseth T, Fatouros‐Bergman H, Fisher SE, Fouche J, Franke B, Frodl T, Fuentes‐Claramonte P, Glahn DC, Gotlib IH, Grabe H, Grimm O, Groenewold NA, Grotegerd D, Gruber O, Gruner P, Gur RE, Gur RC, Hahn T, Harrison BJ, Hartman CA, Hatton SN, Heinz A, Heslenfeld DJ, Hibar DP, Hickie IB, Ho B, Hoekstra PJ, Hohmann S, Holmes AJ, Hoogman M, Hosten N, Howells FM, Hulshoff Pol HE, Huyser C, Jahanshad N, James A, Jernigan TL, Jiang J, Jönsson EG, Joska JA, Kahn R, Kalnin A, Kanai R, Klein M, Klyushnik TP, Koenders L, Koops S, Krämer B, Kuntsi J, Lagopoulos J, Lázaro L, Lebedeva I, Lee WH, Lesch K, Lochner C, Machielsen MWJ, Maingault S, Martin NG, Martínez‐Zalacaín I, Mataix‐Cols D, Mazoyer B, McDonald C, McDonald BC, McIntosh AM, McMahon KL, McPhilemy G, Meinert S, Menchón JM, Medland SE, Meyer‐Lindenberg A, Naaijen J, Najt P, Nakao T, Nordvik JE, Nyberg L, Oosterlaan J, de la Foz VO, Paloyelis Y, Pauli P, Pergola G, Pomarol‐Clotet E, Portella MJ, Potkin SG, Radua J, Reif A, Rinker DA, Roffman JL, Rosa PGP, Sacchet MD, Sachdev PS, Salvador R, Sánchez‐Juan P, Sarró S, Satterthwaite TD, Saykin AJ, Serpa MH, Schmaal L, Schnell K, Schumann G, Sim K, Smoller JW, Sommer I, Soriano‐Mas C, Stein DJ, Strike LT, Swagerman SC, Tamnes CK, Temmingh HS, Thomopoulos SI, Tomyshev AS, Tordesillas‐Gutiérrez D, Trollor JN, Turner JA, Uhlmann A, van den Heuvel OA, van den Meer D, van der Wee NJA, van Haren NEM, van 't Ent D, van Erp TGM, Veer IM, Veltman DJ, Voineskos A, Völzke H, Walter H, Walton E, Wang L, Wang Y, Wassink TH, Weber B, Wen W, West JD, Westlye LT, Whalley H, Wierenga LM, Wittfeld K, Wolf DH, Worker A, Wright MJ, Yang K, Yoncheva Y, Zanetti MV, Ziegler GC, Thompson PM, Dima D. Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years. Hum Brain Mapp 2022; 43:431-451. [PMID: 33595143 PMCID: PMC8675431 DOI: 10.1002/hbm.25364] [Citation(s) in RCA: 136] [Impact Index Per Article: 45.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 01/02/2021] [Accepted: 01/21/2021] [Indexed: 12/25/2022] Open
Abstract
Delineating the association of age and cortical thickness in healthy individuals is critical given the association of cortical thickness with cognition and behavior. Previous research has shown that robust estimates of the association between age and brain morphometry require large-scale studies. In response, we used cross-sectional data from 17,075 individuals aged 3-90 years from the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) Consortium to infer age-related changes in cortical thickness. We used fractional polynomial (FP) regression to quantify the association between age and cortical thickness, and we computed normalized growth centiles using the parametric Lambda, Mu, and Sigma method. Interindividual variability was estimated using meta-analysis and one-way analysis of variance. For most regions, their highest cortical thickness value was observed in childhood. Age and cortical thickness showed a negative association; the slope was steeper up to the third decade of life and more gradual thereafter; notable exceptions to this general pattern were entorhinal, temporopolar, and anterior cingulate cortices. Interindividual variability was largest in temporal and frontal regions across the lifespan. Age and its FP combinations explained up to 59% variance in cortical thickness. These results may form the basis of further investigation on normative deviation in cortical thickness and its significance for behavioral and cognitive outcomes.
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Affiliation(s)
- Sophia Frangou
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew York CityNew YorkUSA
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain HealthUniversity of British ColumbiaVancouverCanada
| | | | - Steven C. R. Williams
- Department of NeuroimagingInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Efstathios Papachristou
- Psychology and Human DevelopmentInstitute of Education, University College LondonLondonUnited Kingdom
| | - Gaelle E. Doucet
- Institute for Human NeuroscienceBoys Town National Research HospitalOmahaNebraskaUSA
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetSolnaSweden
| | - Moji Aghajani
- Department of PsychiatryAmsterdam University Medical Centre, Vrije UniversiteitAmsterdamNetherlands
- Section Forensic Family & Youth CareInstitute of Education & Child StudiesLeiden UniversityNetherlands
| | - Theophilus N. Akudjedu
- Institute of Medical Imaging and Visualisation, Department of Medical Science and Public Health, Faculty of Health and Social SciencesBournemouth UniversityPooleUnited Kingdom
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandGalwayIreland
| | - Anton Albajes‐Eizagirre
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and AddictionInstitute of Clinical Medicine, University of OsloOsloNorway
| | | | - Micael Andersson
- Department of Integrative Medical BiologyUmeå UniversityUmeåSweden
| | - Nancy C. Andreasen
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Ole A. Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
| | - Philip Asherson
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityHeidelbergGermany
| | - Nuria Bargallo
- Imaging Diagnostic CentreHospital Clinic, Barcelona University ClinicBarcelonaSpain
- August Pi i Sunyer Biomedical Research Institut (IDIBAPS)BarcelonaSpain
| | - Sarah Baumeister
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityHeidelbergGermany
| | - Ramona Baur‐Streubel
- Department of Psychology, Biological Psychology, Clinical Psychology and PsychotherapyUniversity of WürzburgWürzburgGermany
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Aurora Bonvino
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Dorret I. Boomsma
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Stefan Borgwardt
- Department of Psychiatry & PsychotherapyUniversity of LübeckLübeckGermany
| | - Josiane Bourque
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Daniel Brandeis
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityHeidelbergGermany
| | - Alan Breier
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Rachel M. Brouwer
- Rudolf Magnus Institute of NeuroscienceUniversity Medical Center UtrechtUtrechtNetherlands
| | - Jan K. Buitelaar
- Donders Center of Medical NeurosciencesRadboud UniversityNijmegenNetherlands
- Donders Centre for Cognitive NeuroimagingRadboud UniversityNijmegenNetherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
| | - Geraldo F. Busatto
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Randy L. Buckner
- Department of Psychology, Center for Brain ScienceHarvard UniversityCambridgeMassachusettsUSA
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
| | - Vincent Calhoun
- Tri‐Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of TechnologyEmory University, USA Neurology, Radiology, Psychiatry and Biomedical Engineering, Emory UniversityAtlantaGeorgiaUSA
| | - Erick J. Canales‐Rodríguez
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - Dara M. Cannon
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandGalwayIreland
| | - Xavier Caseras
- MRC Centre for Neuropsychiatric Genetics and GenomicsCardiff UniversityCardiffUnited Kingdom
| | | | - Simon Cervenka
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetSolnaSweden
- Stockholm Health Care ServicesStockholmSweden
| | - Tiffany M. Chaim‐Avancini
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Christopher R. K. Ching
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Victoria Chubar
- Mind‐Body Research Group, Department of NeuroscienceKU LeuvenLeuvenBelgium
| | - Vincent P. Clark
- Department of PsychologyUniversity of New MexicoAlbuquerqueNew MexicoUSA
- Mind Research NetworkAlbuquerqueNew MexicoUSA
| | - Patricia Conrod
- Department of PsychiatryUniversité de MontréalMontrealCanada
| | - Annette Conzelmann
- Department of Child and Adolescent Psychiatry, Psychosomatics and PsychotherapyUniversity of TübingenTübingenGermany
| | - Benedicto Crespo‐Facorro
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- HU Virgen del Rocio, IBiSUniversity of SevillaSevillaSpain
| | - Fabrice Crivello
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxBordeauxFrance
| | - Eveline A. Crone
- Erasmus School of Social and Behavioural SciencesErasmus University RotterdamRotterdamNetherlands
- Faculteit der Sociale Wetenschappen, Instituut PsychologieUniversiteit LeidenLeidenNetherlands
| | - Anders M. Dale
- Center for Multimodal Imaging and Genetics, Department of NeuroscienceUniversity of California‐San DiegoSan DiegoCaliforniaUSA
- Department of RadiologyUniversity of California‐San DiegoSan DiegoCaliforniaUSA
| | - Udo Dannlowski
- Department of Psychiatry and PsychotherapyUniversity of MünsterGermany
| | | | - Eco J. C. de Geus
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Lieuwe de Haan
- Academisch Medisch CentrumUniversiteit van AmsterdamAmsterdamNetherlands
| | - Greig I. de Zubicaray
- Faculty of Health, Institute of Health and Biomedical InnovationQueensland University of TechnologyQueenslandAustralia
| | - Anouk den Braber
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Erin W. Dickie
- Kimel Family Translational Imaging Genetics Laboratory, Campbell Family Mental Health Research InstituteCAMHCampbellCanada
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Annabella Di Giorgio
- Biological Psychiatry LabFondazione IRCCS Casa Sollievo della SofferenzaSan Giovanni Rotondo (FG)Italy
| | - Nhat Trung Doan
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
| | - Erlend S. Dørum
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
- Sunnaas Rehabilitation Hospital HTNesoddenNorway
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental NeurosciencesTechnische Universität DresdenDresdenGermany
- Faculty of MedicineUniversitätsklinikum Carl Gustav Carus an der TU DresdenDresdenGermany
| | - Susanne Erk
- Division of Mind and Brain Research, Department of Psychiatry and PsychotherapyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Thomas Espeseth
- Biological Psychiatry LabFondazione IRCCS Casa Sollievo della SofferenzaSan Giovanni Rotondo (FG)Italy
- Bjørknes CollegeOsloNorway
| | - Helena Fatouros‐Bergman
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetSolnaSweden
- Stockholm Health Care ServicesStockholmSweden
| | - Simon E. Fisher
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Language and Genetics DepartmentMax Planck Institute for PsycholinguisticsNijmegenNetherlands
| | - Jean‐Paul Fouche
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Barbara Franke
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenNetherlands
- Department of PsychiatryRadboud University Medical CenterNijmegenNetherlands
| | - Thomas Frodl
- Department of Psychiatry and PsychotherapyOtto von Guericke University MagdeburgMagdeburgGermany
| | - Paola Fuentes‐Claramonte
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - David C. Glahn
- Department of PsychiatryTommy Fuss Center for Neuropsychiatric Disease Research Boston Children's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Ian H. Gotlib
- Department of PsychologyStanford UniversityStanfordCaliforniaUSA
| | - Hans‐Jörgen Grabe
- Department of Psychiatry and PsychotherapyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Oliver Grimm
- Department for Psychiatry, Psychosomatics and PsychotherapyUniversitätsklinikum Frankfurt, Goethe UniversitatFrankfurtGermany
| | - Nynke A. Groenewold
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | | | - Oliver Gruber
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Patricia Gruner
- Department of PsychiatryYale UniversityNew HavenConnecticutUSA
- Learning Based Recovery CenterVA Connecticut Health SystemWest HavenConnecticutUSA
| | - Rachel E. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Children's Hospital of PhiladelphiaUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ruben C. Gur
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Lifespan Brain Institute, Perelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Children's Hospital of PhiladelphiaUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Tim Hahn
- Department of Psychiatry and PsychotherapyUniversity of MünsterGermany
| | - Ben J. Harrison
- Melbourne Neuropsychiatry CenterUniversity of MelbourneMelbourneAustralia
| | - Catharine A. Hartman
- Interdisciplinary Center Psychopathology and Emotion regulationUniversity Medical Center Groningen, University of GroningenGroningenNetherlands
| | - Sean N. Hatton
- Brain and Mind CentreUniversity of SydneySydneyAustralia
| | - Andreas Heinz
- Division of Mind and Brain Research, Department of Psychiatry and PsychotherapyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Dirk J. Heslenfeld
- Departments of Experimental and Clinical PsychologyVrije Universiteit AmsterdamAmsterdamNetherlands
| | - Derrek P. Hibar
- Personalized Healthcare, Genentech, Inc.South San FranciscoCaliforniaUSA
| | - Ian B. Hickie
- Brain and Mind CentreUniversity of SydneySydneyAustralia
| | - Beng‐Choon Ho
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Pieter J. Hoekstra
- Department of PsychiatryUniversity Medical Center Groningen, University of GroningenGroningenNetherlands
| | - Sarah Hohmann
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental HealthHeidelberg UniversityHeidelbergGermany
| | - Avram J. Holmes
- Department of PsychologyYale UniversityNew HavenConnecticutUSA
| | - Martine Hoogman
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenNetherlands
| | - Norbert Hosten
- Norbert Institute of Diagnostic Radiology and NeuroradiologyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
| | - Fleur M. Howells
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
- Neuroscience InstituteUniversity of Cape TownCape TownSouth Africa
| | | | - Chaim Huyser
- De Bascule, Academic Centre for Children and Adolescent PsychiatryAmsterdamNetherlands
| | - Neda Jahanshad
- Mind‐Body Research Group, Department of NeuroscienceKU LeuvenLeuvenBelgium
| | - Anthony James
- Department of PsychiatryOxford UniversityOxfordUnited Kingdom
| | - Terry L. Jernigan
- Center for Human Development, Departments of Cognitive Science, Psychiatry, and RadiologyUniversity of CaliforniaSan DiegoCaliforniaUSA
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Erik G. Jönsson
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
| | - John A. Joska
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Rene Kahn
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew York CityNew YorkUSA
| | - Andrew Kalnin
- Department of RadiologyOhio State University College of MedicineColumbusOhioUSA
| | - Ryota Kanai
- Department of NeuroinformaticsAraya, Inc.TokyoJapan
| | - Marieke Klein
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
- Department of Human GeneticsRadboud University Medical CenterNijmegenNetherlands
- Department of PsychiatryUniversity of California San DiegoSan DiegoCaliforniaUSA
| | | | - Laura Koenders
- Academisch Medisch CentrumUniversiteit van AmsterdamAmsterdamNetherlands
| | - Sanne Koops
- Rudolf Magnus Institute of NeuroscienceUniversity Medical Center UtrechtUtrechtNetherlands
| | - Bernd Krämer
- Section for Experimental Psychopathology and Neuroimaging, Department of General PsychiatryHeidelberg UniversityHeidelbergGermany
| | - Jonna Kuntsi
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Jim Lagopoulos
- Sunshine Coast Mind and NeuroscienceThompson Institute, University of the Sunshine CoastQueenslandAustralia
| | - Luisa Lázaro
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of Child and Adolescent Psychiatry and PsychologyHospital Clinic, University of BarcelonaBarcelonaSpain
| | - Irina Lebedeva
- Mental Health Research CenterRussian Academy of Medical SciencesMoscowRussia
| | - Won Hee Lee
- Department of PsychiatryIcahn School of Medicine at Mount SinaiNew York CityNew YorkUSA
| | - Klaus‐Peter Lesch
- Department of Psychiatry, Psychosomatics and PsychotherapyJulius‐Maximilians Universität WürzburgWürzburgGermany
| | - Christine Lochner
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of PsychiatryStellenbosch UniversityStellenboschSouth Africa
| | | | - Sophie Maingault
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxBordeauxFrance
| | - Nicholas G. Martin
- Queensland Institute of Medical ResearchBerghofer Medical Research InstituteQueenslandAustralia
| | - Ignacio Martínez‐Zalacaín
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - David Mataix‐Cols
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetSolnaSweden
- Stockholm Health Care ServicesStockholmSweden
| | - Bernard Mazoyer
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives, UMR5293Université de BordeauxBordeauxFrance
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandGalwayIreland
| | - Brenna C. McDonald
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Katie L. McMahon
- School of Clinical Sciences, Institute of Health and Biomedical InnovationQueensland University of TechnologyQueenslandAustralia
| | - Genevieve McPhilemy
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandGalwayIreland
| | - Susanne Meinert
- Department of Psychiatry and PsychotherapyUniversity of MünsterGermany
| | - José M. Menchón
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - Sarah E. Medland
- Queensland Institute of Medical ResearchBerghofer Medical Research InstituteQueenslandAustralia
| | - Andreas Meyer‐Lindenberg
- Department of Psychiatry and PsychotherapyCentral Institute of Mental Health, Heidelberg UniversityHeidelbergGermany
| | - Jilly Naaijen
- Donders Centre for Cognitive NeuroimagingRadboud UniversityNijmegenNetherlands
- Donders Institute for Brain, Cognition and BehaviourRadboud UniversityNijmegenNetherlands
| | - Pablo Najt
- Clinical Neuroimaging Laboratory, Centre for Neuroimaging and Cognitive Genomics and NCBES Galway Neuroscience CentreNational University of IrelandGalwayIreland
| | - Tomohiro Nakao
- Department of Clinical MedicineKyushu UniversityFukuokaJapan
| | | | - Lars Nyberg
- Department of Integrative Medical BiologyUmeå UniversityUmeåSweden
- Department of Radiation SciencesUmeå Center for Functional Brain Imaging, Umeå UniversityUmeåSweden
| | - Jaap Oosterlaan
- Department of Clinical NeuropsychologyAmsterdam University Medical Centre, Vrije Universiteit AmsterdamAmsterdamNetherlands
| | - Víctor Ortiz‐García de la Foz
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryUniversity Hospital “Marques de Valdecilla”, Instituto de Investigación Valdecilla (IDIVAL)SantanderSpain
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM)Instituto de Salud Carlos IIIMadridSpain
| | - Yannis Paloyelis
- Department of NeuroimagingInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
| | - Paul Pauli
- Department of Psychology, Biological Psychology, Clinical Psychology and PsychotherapyUniversity of WürzburgWürzburgGermany
- Centre of Mental HealthUniversity of WürzburgWürzburgGermany
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense OrgansUniversity of Bari Aldo MoroBariItaly
| | - Edith Pomarol‐Clotet
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
| | - Maria J. Portella
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Department of PsychiatryHospital de la Santa Creu i Sant Pau, Institut d'Investigació Biomèdica Sant Pau, Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Steven G. Potkin
- Department of PsychiatryUniversity of California at IrvineIrvineCaliforniaUSA
| | - Joaquim Radua
- Centre for Psychiatric Research, Department of Clinical NeuroscienceKarolinska InstitutetSolnaSweden
- August Pi i Sunyer Biomedical Research Institut (IDIBAPS)BarcelonaSpain
- Department of Psychosis StudiesInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUnited Kingdom
| | - Andreas Reif
- Department for Psychiatry, Psychosomatics and PsychotherapyUniversitätsklinikum Frankfurt, Goethe UniversitatFrankfurtGermany
| | - Daniel A. Rinker
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
| | - Joshua L. Roffman
- Department of PsychiatryMassachusetts General HospitalBostonMassachusettsUSA
| | - Pedro G. P. Rosa
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Matthew D. Sacchet
- Center for Depression, Anxiety, and Stress ResearchMcLean Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Perminder S. Sachdev
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesKensingtonNew South WalesAustralia
| | | | - Pascual Sánchez‐Juan
- Department of PsychiatryUniversity Hospital “Marques de Valdecilla”, Instituto de Investigación Valdecilla (IDIVAL)SantanderSpain
- Centro de Investigacion Biomedica en Red en Enfermedades Neurodegenerativas (CIBERNED)ValderrebolloSpain
| | | | | | - Andrew J. Saykin
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | - Mauricio H. Serpa
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Lianne Schmaal
- OrygenThe National Centre of Excellence in Youth Mental HealthMelbourneAustralia
- Centre for Youth Mental HealthThe University of MelbourneMelbourneAustralia
| | - Knut Schnell
- Department of Psychiatry and PsychotherapyUniversity Medical Center GöttingenGöttingenGermany
| | - Gunter Schumann
- Social, Genetic and Developmental Psychiatry CentreInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
- Centre for Population Neuroscience and Precision MedicineInstitute of Psychiatry, Psychology & Neuroscience, King's College LondonLondonUnited Kingdom
| | - Kang Sim
- Department of General PsychiatryInstitute of Mental HealthSingaporeSingapore
| | - Jordan W. Smoller
- Center for Genomic MedicineMassachusetts General HospitalBostonMassachusettsUSA
| | - Iris Sommer
- Department of Biomedical Sciences of Cells and Systems, Rijksuniversiteit GroningenUniversity Medical Center GroningenGroningenNetherlands
| | - Carles Soriano‐Mas
- Mental Health Research Networking Center (CIBERSAM)MadridSpain
- Department of PsychiatryBellvitge University Hospital‐IDIBELL, University of BarcelonaBarcelonaSpain
| | - Dan J. Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of PsychiatryStellenbosch UniversityStellenboschSouth Africa
| | - Lachlan T. Strike
- Queensland Brain InstituteUniversity of QueenslandQueenslandAustralia
| | | | - Christian K. Tamnes
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
- Department of Psychiatric ResearchDiakonhjemmet HospitalOsloNorway
- PROMENTA Research Center, Department of PsychologyUniversity of OsloOsloNorway
| | - Henk S. Temmingh
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Sophia I. Thomopoulos
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | | | - Diana Tordesillas‐Gutiérrez
- FIDMAG Germanes HospitalàriesBarcelonaSpain
- Neuroimaging Unit, Technological FacilitiesValdecilla Biomedical Research Institute IDIVALCantabriaSpain
| | - Julian N. Trollor
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Jessica A. Turner
- College of Arts and SciencesGeorgia State UniversityAtlantaGeorgiaUSA
| | - Anne Uhlmann
- Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Odile A. van den Heuvel
- Department of PsychiatryAmsterdam University Medical Centre, Vrije UniversiteitAmsterdamNetherlands
| | - Dennis van den Meer
- Norwegian Centre for Mental Disorders Research (NORMENT)Institute of Clinical Medicine, University of OsloOsloNorway
- Division of Mental Health and AddictionInstitute of Clinical Medicine, University of OsloOsloNorway
- School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life SciencesMaastricht UniversityMaastrichtNetherlands
| | - Nic J. A. van der Wee
- Department of PsychiatryLeiden University Medical CenterLeidenNetherlands
- Leiden Institute for Brain and CognitionLeiden University Medical CenterLeidenNetherlands
| | - Neeltje E. M. van Haren
- Department of Child and Adolescent Psychiatry/PsychologyErasmus University Medical Center, Sophia Children's HospitalRotterdamThe Netherlands
| | - Dennis van 't Ent
- Department of Biological PsychologyVrije UniversiteitAmsterdamNetherlands
| | - Theo G. M. van Erp
- Department of PsychiatryUniversity of California at IrvineIrvineCaliforniaUSA
- Center for the Neurobiology of Learning and MemoryUniversity of California IrvineIrvineCaliforniaUSA
- Institute of Community MedicineUniversity Medicine, Greifswald, University of GreifswaldGreifswaldGermany
| | - Ilya M. Veer
- Division of Mind and Brain Research, Department of Psychiatry and PsychotherapyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Dick J. Veltman
- Department of PsychiatryAmsterdam University Medical Centre, Vrije UniversiteitAmsterdamNetherlands
| | - Aristotle Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Campbell Family Mental Health Research InstituteCAMHCampbellCanada
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Henry Völzke
- Institute of Community MedicineUniversity Medicine, Greifswald, University of GreifswaldGreifswaldGermany
- German Centre for Cardiovascular Research (DZHK), partner site GreifswaldGreifswaldGermany
- German Center for Diabetes Research (DZD), partner site GreifswaldGreifswaldGermany
| | - Henrik Walter
- Division of Mind and Brain Research, Department of Psychiatry and PsychotherapyCharité‐Universitätsmedizin BerlinBerlinGermany
| | - Esther Walton
- Department of PsychologyUniversity of BathBathUnited Kingdom
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Feinberg School of MedicineNorthwestern UniversityEvanstonIllinoisUSA
| | - Yang Wang
- Department of RadiologyMedical College of WisconsinMilwaukeeWisconsinUSA
| | - Thomas H. Wassink
- Department of Psychiatry, Carver College of MedicineThe University of IowaIowa CityIowaUSA
| | - Bernd Weber
- Institute for Experimental Epileptology and Cognition ResearchUniversity of BonnBonnGermany
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of PsychiatryUniversity of New South WalesKensingtonNew South WalesAustralia
| | - John D. West
- Department of Radiology and Imaging SciencesIndiana University School of MedicineIndianapolisIndianaUSA
| | | | - Heather Whalley
- Division of PsychiatryUniversity of EdinburghEdinburghUnited Kingdom
| | - Lara M. Wierenga
- Developmental and Educational Psychology Unit, Institute of PsychologyLeiden UniversityLeidenNetherlands
| | - Katharina Wittfeld
- Department of Psychiatry and PsychotherapyUniversity Medicine Greifswald, University of GreifswaldGreifswaldGermany
- German Center for Neurodegenerative Diseases (DZNE)Site Rostock/GreifswaldGreifswaldGermany
| | - Daniel H. Wolf
- Department of PsychiatryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Amanda Worker
- Department of Psychiatry, Djavad Mowafaghian Centre for Brain HealthUniversity of British ColumbiaVancouverCanada
| | | | - Kun Yang
- National High Magnetic Field LaboratoryFlorida State UniversityTallahasseeFloridaUSA
| | - Yulyia Yoncheva
- Department of Child and Adolescent Psychiatry, Child Study CenterNYU Langone HealthNew York CityNew YorkUSA
| | - Marcus V. Zanetti
- Laboratory of Psychiatric Neuroimaging, Departamento e Instituto de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
- Instituto de Ensino e PesquisaHospital Sírio‐LibanêsSão PauloBrazil
| | - Georg C. Ziegler
- Division of Molecular Psychiatry, Center of Mental HealthUniversity of WürzburgWürzburgGermany
| | | | - Paul M. Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of MedicineUniversity of Southern CaliforniaMarina del ReyCaliforniaUSA
| | - Danai Dima
- Department of NeuroimagingInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUnited Kingdom
- Department of Psychology, School of Arts and Social SciencesCity University of LondonLondonUnited Kingdom
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Alicart H, Heldmann M, Göttlich M, Obst MA, Tittgemeyer M, Münte TF. Modulation of visual processing of food by transcutaneous vagus nerve stimulation (tVNS). Brain Imaging Behav 2021; 15:1886-1897. [PMID: 32926315 PMCID: PMC8413220 DOI: 10.1007/s11682-020-00382-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Present project is concerned with the possibility to modulate the neural regulation of food intake by non-invasive stimulation of the vagus nerve. This nerve carries viscero-afferent information from the gut and other internal organs and therefore serves an important role in ingestive behavior. The electrical stimulation of the vagus nerve (VNS) is a qualified procedure in the treatment of drug-resistant epilepsy and depression. Since weight loss is a known common side effect of VNS treatment in patients with implanted devices, VNS is evaluated as a treatment of obesity. To investigate potential VNS-related changes in the cognitive processing of food-related items, 21 healthy participants were recorded in a 3-Tesla scanner in two counterbalanced sessions. Participants were presented with 72 food pictures and asked to rate how much they liked that food. Before entering the scanner subjects received a 1-h sham or verum stimulation, which was implemented transcutanously with a Cerbomed NEMOS® device. We found significant activations in core areas of the vagal afferent pathway, including left brainstem, thalamus, temporal pole, amygdala, insula, hippocampus, and supplementary motor area for the interaction between ratings (high vs low) and session (verum vs sham stimulation). Significant activations were also found for the main effect of verum compared to sham stimulation in the left inferior and superior parietal cortex. These results demonstrate an effect of tVNS on food image processing even with a preceding short stimulation period. This is a necessary prerequisite for a therapeutic application of tVNS which has to be evaluated in longer-term studies.
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Affiliation(s)
- Helena Alicart
- Cognition and Brain Plasticity Group, Bellvitge Biomedical Research Institute (IDIBELL), 08097, L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Cognition, Development and Educational Psychology, Institute of Neurosciences, Campus Bellvitge, University of Barcelona, 08097, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Marcus Heldmann
- Department of Neurology, University of Lübeck, 23538, Lübeck, Germany
- Center of Brain, Behavior and Metabolism (CBBM) , University of Lübeck , Ratzeburger Allee 160, Lübeck, 23562, Germany
| | - Martin Göttlich
- Department of Neurology, University of Lübeck, 23538, Lübeck, Germany
- Center of Brain, Behavior and Metabolism (CBBM) , University of Lübeck , Ratzeburger Allee 160, Lübeck, 23562, Germany
| | - Martina A Obst
- Department of Neurology, University of Lübeck, 23538, Lübeck, Germany
- Center of Brain, Behavior and Metabolism (CBBM) , University of Lübeck , Ratzeburger Allee 160, Lübeck, 23562, Germany
| | - Marc Tittgemeyer
- Translational Neurocircuitry Group, Max-Planck Institute for Metabolism Research, Cologne, 50931, Cologne, Germany
- Cluster of Excellence in Cellular Stress and Aging-Associated Disease (CECAD) , Cologne, 50931, Germany
| | - Thomas F Münte
- Department of Neurology, University of Lübeck, 23538, Lübeck, Germany.
- Center of Brain, Behavior and Metabolism (CBBM) , University of Lübeck , Ratzeburger Allee 160, Lübeck, 23562, Germany.
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Wang S, Chen B, Yu Y, Yang H, Cui W, Fan G, Li J. Altered resting-state functional network connectivity in profound sensorineural hearing loss infants within an early sensitive period: A group ICA study. Hum Brain Mapp 2021; 42:4314-4326. [PMID: 34060682 PMCID: PMC8356983 DOI: 10.1002/hbm.25548] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 04/29/2021] [Accepted: 05/20/2021] [Indexed: 12/21/2022] Open
Abstract
Data from both animal models and deaf children provide evidence for that the maturation of auditory cortex has a sensitive period during the first 2-4 years of life. During this period, the auditory stimulation can affect the development of cortical function to the greatest extent. Thus far, little is known about the brain development trajectory after early auditory deprivation within this period. In this study, independent component analysis (ICA) technique was used to detect the characteristics of brain network development in children with bilateral profound sensorineural hearing loss (SNHL) before 3 years old. Seven resting-state networks (RSN) were identified in 50 SNHL and 36 healthy controls using ICA method, and further their intra-and inter-network functional connectivity (FC) were compared between two groups. Compared with the control group, SNHL group showed decreased FC within default mode network, while enhanced FC within auditory network (AUN) and salience network. No significant changes in FC were found in the visual network (VN) and sensorimotor network (SMN). Furthermore, the inter-network FC between SMN and AUN, frontal network and AUN, SMN and VN, frontal network and VN were significantly increased in SNHL group. The results implicate that the loss and the compensatory reorganization of brain network FC coexist in SNHL infants. It provides a network basis for understanding the brain development trajectory after hearing loss within early sensitive period.
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Affiliation(s)
- Shanshan Wang
- Department of Radiology, The First Hospital, China Medical University, Shenyang, Liaoning, China
| | - Boyu Chen
- Department of Radiology, The First Hospital, China Medical University, Shenyang, Liaoning, China
| | - Yalian Yu
- Department of Otorhinolaryngology, The First Hospital, China Medical University, Shenyang, Liaoning, China
| | - Huaguang Yang
- Department of Radiology, Renmin Hospital, Wuhan University, Wuhan, China
| | - Wenzhuo Cui
- Department of Radiology, The First Hospital, China Medical University, Shenyang, Liaoning, China
| | - Guoguang Fan
- Department of Radiology, The First Hospital, China Medical University, Shenyang, Liaoning, China
| | - Jian Li
- Department of Radiology, The First Hospital, China Medical University, Shenyang, Liaoning, China
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Herlin B, Navarro V, Dupont S. The temporal pole: From anatomy to function-A literature appraisal. J Chem Neuroanat 2021; 113:101925. [PMID: 33582250 DOI: 10.1016/j.jchemneu.2021.101925] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/29/2021] [Accepted: 01/30/2021] [Indexed: 12/22/2022]
Abstract
Historically, the anterior part of the temporal lobe was labelled as a unique structure named Brain Area 38 by Brodmann or Temporopolar Area TG by Von Economo, but its functions were unknown at that time. Later on, a few studies proposed to divide the temporal pole in several different subparts, based on distinct cytoarchitectural structure or connectivity patterns, while a still growing number of studies have associated the temporal pole with many cognitive functions. In this review, we provide an overview of the temporal pole anatomical and histological structure and its various functions. We performed a literature review of articles published prior to September 30, 2020 that included 112 articles. The temporal pole has thereby been associated with several high-level cognitive processes: visual processing for complex objects and face recognition, autobiographic memory, naming and word-object labelling, semantic processing in all modalities, and socio-emotional processing, as demonstrated in healthy subjects and in patients with neurological or psychiatric diseases, especially in the field of neurodegenerative disorders. A good knowledge of those functions and the symptoms associated with temporal pole lesions or dysfunctions is helpful to identify these diseases, whose diagnosis may otherwise be difficult.
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Affiliation(s)
- Bastien Herlin
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France.
| | - Vincent Navarro
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Neurophysiology Unit, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France
| | - Sophie Dupont
- APHP Pitie-Salpêtrière-Charles-Foix, Epileptology Unit, Paris, France; Sorbonne University, UPMC, Paris, France; Brain and Spine Institute (INSERM UMRS1127, CNRS UMR7225, UPMC), Paris, France; APHP Pitie-Salpêtrière-Charles-Foix, Rehabilitation Unit, Paris, France
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Yang T, Lam RW, Huang J, Su Y, Liu J, Yang X, Yang L, Zhu N, Zhao G, Mao R, Zhou R, Xia W, Liu H, Wang Z, Chen J, Fang Y. Exploring the Effects of Temperament on Gray Matter Volume of Frontal Cortex in Patients with Mood Disorders. Neuropsychiatr Dis Treat 2021; 17:183-193. [PMID: 33519204 PMCID: PMC7837575 DOI: 10.2147/ndt.s287351] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 12/14/2020] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Patients with bipolar disorder (BD) and patients with major depressive disorder (MDD) have relatively specific temperament and structural abnormalities of brain regions related to emotion and cognition. However, the effects of temperament factors on the structure of frontal and temporal cortex is still unclear. The aims of this study were to explore the differences and relationships between temperament characteristics and the gray matter volume of frontal and temporal cortex in patients with BD or MDD. METHODS T1-weighted magnetic resonance imaging (MRI) data, demographic and clinical information were obtained from 279 depressed patients (90 patients with BD, 189 patients with MDD) and 162 healthy controls (HC). Temperament was assessed with the Chinese short version of Temperament Evaluation of Memphis, Pisa and San Diego - Auto questionnaire (TEMPS-A). The Desikan-Killiany atlas was used for yielding gray matter volume by FreeSurfer 6.0 software suite. A total of 22 frontal and temporal regions were chosen as regions of interest (ROIs). RESULTS Compared with patients with MDD, patients with BD had higher TEMPS-A total scores and scores on cyclothymic, irritable and hyperthymic subscales. The gray matter volume in bilateral rostral middle frontal gyrus (RMFG), left temporal pole and right superior frontal gyrus were reduced in patients with BD. Patients with MDD only had lower gray matter volume in bilateral temporal pole. In the pooled patients, there were negative associations between hyperthymia and gray matter volume in right RMFG. CONCLUSION Patients with BD and MDD had different temperament characteristics. The prominent temperament subscales in patients with BD were cyclothymia, irritable and hyperthymia. Patients with greater hyperthymia had lower gray matter volume in right frontal gyrus. Temperament may reflect an endophenotype in patients with mood disorders, especially in BD.
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Affiliation(s)
- Tao Yang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Raymond W Lam
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Jia Huang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yousong Su
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jing Liu
- Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada
| | - Xiaorui Yang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Lu Yang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Na Zhu
- Shanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Guoqing Zhao
- Department of Psychology, Provincial Hospital Affiliated to Shandong University, Jinan, People's Republic of China
| | - Ruizhi Mao
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Rubai Zhou
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Weiping Xia
- Department of Medical Psychology, Xinhua Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, People's Republic of China
| | - Hongmei Liu
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zuowei Wang
- Division of Mood Disorders, Shanghai Hongkou District Mental Health Center, Shanghai, People's Republic of China
| | - Jun Chen
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yiru Fang
- Clinical Research Center & Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, People's Republic of China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, People's Republic of China
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21
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Yin J, Xie L, Luo D, Huang J, Guo R, Zheng Y, Xu W, Duan S, Lin Z, Ma S. Changes of Structural and Functional Attention Control Networks in Subclinical Hypothyroidism. Front Behav Neurosci 2021; 15:725908. [PMID: 34776889 PMCID: PMC8585844 DOI: 10.3389/fnbeh.2021.725908] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 09/24/2021] [Indexed: 02/05/2023] Open
Abstract
Objective: This study aimed to explore the structural changes in patients with subclinical hypothyroidism (SCH) using voxel-based morphometry (VBM) and to investigate the altered attentional control networks using functional MRI (fMRI) during the performance of a modified Stroop task with Chinese characters. Methods: High-resolution three-dimensional (3D) T1-weighted images and an fMRI scan were taken from 18 patients with SCH and 18 matched control subjects. The Montreal Cognitive Assessment Chinese-revised (MoCA-CR) and the Stroop task were used to evaluate the cognitive and attention control of the participants. Results: Compared to controls, the VBM results showed decreased gray matter volumes (GMVs) in bilateral prefrontal cortices (PFCs, including middle, medial, and inferior frontal gyri), cingulate gyrus, precuneus, left middle temporal gyrus, and insula in patients with SCH. The fMRI results showed a distributed network of brain regions in both groups, consisting of PFCs (including superior and middle and inferior frontal cortices), anterior cingulate cortex (ACC), posterior cingulate cortex, and precuneus, as well as the insula and caudate nucleus. Compared to controls, the SCH group had lower activation of the above brain areas, especially during the color-naming task. In addition, the normalized GMV (nGMV) was negatively correlated with thyroid-stimulating hormone (TSH) level (r = -0.722, p < 0.001). Conclusion: Results indicate that patients with SCH exhibit reduced GMVs, altered BOLD signals, and activation in regions associated with attention control, which further suggest that patients with SCH may have attentional control deficiency, and the weakened PFC-ACC-precuneus brain network might be one of the neural mechanisms. Negative correlations between nGMV and TSH suggest that TSH elevation may induce abnormalities in the cortex.
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Affiliation(s)
- Jingjing Yin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - DongXue Luo
- Department of Nuclear Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jinzhuang Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ruiwei Guo
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yanmin Zheng
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Wencan Xu
- Department of Endocrinology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shouxing Duan
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Pediatric Surgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhirong Lin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuhua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Medical Imaging and Nuclear Medicine, Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- *Correspondence: Shuhua Ma
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22
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DeRosse P, Barber AD. Overlapping Neurobiological Substrates for Early-Life Stress and Resilience to Psychosis. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2020; 6:144-153. [PMID: 33097471 DOI: 10.1016/j.bpsc.2020.09.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 09/02/2020] [Accepted: 09/02/2020] [Indexed: 10/23/2022]
Abstract
Early-life stress, such as childhood maltreatment, is a well-known etiological factor in psychopathology, including psychosis. Exposure to early-life stress disrupts the neurodevelopment of widespread brain systems, including key components of the hypothalamic-pituitary-adrenal axis stress response, such as the amygdala, hippocampus, and medial prefrontal cortex, as well as key components of the brain's reward system, such as the nucleus accumbens and orbitofrontal cortex. These disruptions have a considerable impact on the function of emotion and reward circuitry, which play a central role in the emergence and severity of psychosis. While this overlap may provide insight into the pathophysiology of psychosis, it also provides unique opportunities to elucidate neurobiological substrates that may promote resilience to psychosis. In this review, we discuss the hypothalamic-pituitary-adrenal axis stress response, discuss the disruption in the neurodevelopment of emotion and reward processing associated with early stress exposures, and examine how this circuitry may contribute to resilience to psychotic disorders.
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Affiliation(s)
- Pamela DeRosse
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York.
| | - Anita D Barber
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York; Center for Psychiatric Neuroscience, The Feinstein Institutes for Medical Research, Manhasset, New York; Division of Psychiatry Research, The Zucker Hillside Hospital, Division of Northwell Health, Glen Oaks, New York
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23
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Ho AMC, Winham SJ, Armasu SM, Blacker CJ, Millischer V, Lavebratt C, Overholser JC, Jurjus GJ, Dieter L, Mahajan G, Rajkowska G, Vallender EJ, Stockmeier CA, Robertson KD, Frye MA, Choi DS, Veldic M. Genome-wide DNA methylomic differences between dorsolateral prefrontal and temporal pole cortices of bipolar disorder. J Psychiatr Res 2019; 117:45-54. [PMID: 31279243 PMCID: PMC6941851 DOI: 10.1016/j.jpsychires.2019.05.030] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 04/04/2019] [Accepted: 05/09/2019] [Indexed: 01/07/2023]
Abstract
Dorsolateral prefrontal cortex (DLPFC) and temporal pole (TP) are brain regions that display abnormalities in bipolar disorder (BD) patients. DNA methylation - an epigenetic mechanism both heritable and sensitive to the environment - may be involved in the pathophysiology of BD. To study BD-associated DNA methylomic differences in these brain regions, we extracted genomic DNA from the postmortem tissues of Brodmann Area (BA) 9 (DLPFC) and BA38 (TP) gray matter from 20 BD, ten major depression (MDD), and ten control age-and-sex-matched subjects. Genome-wide methylation levels were measured using the 850 K Illumina MethylationEPIC BeadChip. We detected striking differences between cortical regions, with greater numbers of between-brain-region differentially methylated positions (DMPs; i.e., CpG sites) in all groups, most pronounced in the BD group, and with substantial overlap across groups. The genes of DMPs common to both BD and MDD (hypothetically associated with their common features such as depression) and those distinct to BD (hypothetically associated with BD-specific features such as mania) were enriched in pathways involved in neurodevelopment including axon guidance. Pathways enriched only in the BD-MDD shared list pointed to GABAergic dysregulation, while those enriched in the BD-only list suggested glutamatergic dysregulation and greater impact on synaptogenesis and synaptic plasticity. We further detected group-specific between-brain-region gene expression differences in ODC1, CALY, GALNT2, and GABRD, which contained significant between-brain-region DMPs. In each brain region, no significant DMPs or differentially methylated regions (DMRs) were found between diagnostic groups. In summary, the methylation differences between DLPFC and TP may provide molecular targets for further investigations of genetic and environmental vulnerabilities associated with both unique and common features of various mood disorders and suggest directions of future development of individualized treatment strategies.
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Affiliation(s)
- Ada M.-C. Ho
- Department of Psychiatry and Psychology, Mayo Clinic,
Rochester, MN, USA,Department of Molecular Pharmacology and Experimental
Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Stacey J. Winham
- Department of Health Science Research, Mayo Clinic,
Rochester, MN, USA
| | | | - Caren J. Blacker
- Department of Psychiatry and Psychology, Mayo Clinic,
Rochester, MN, USA
| | - Vincent Millischer
- Department for Molecular Medicine and Surgery (MMK),
Karolinska Institutet, Stockholm, Sweden,Center for Molecular Medicine, Karolinska University
Hospital, Stockholm, Sweden
| | - Catharina Lavebratt
- Department for Molecular Medicine and Surgery (MMK),
Karolinska Institutet, Stockholm, Sweden,Center for Molecular Medicine, Karolinska University
Hospital, Stockholm, Sweden
| | - James C. Overholser
- Department of Psychology, Case Western Reserve University,
Cleveland, OH, USA
| | - George J. Jurjus
- Department of Psychiatry, Case Western Reserve University,
Cleveland, OH, USA,Louis Stokes Cleveland VA Medical Center, Cleveland, OH,
USA
| | - Lesa Dieter
- Department of Psychology, Case Western Reserve University,
Cleveland, OH, USA
| | - Gouri Mahajan
- Psychiatry and Human Behavior, University of Mississippi
Medical Center, Jackson, MS, USA
| | - Grazyna Rajkowska
- Psychiatry and Human Behavior, University of Mississippi
Medical Center, Jackson, MS, USA
| | - Eric J. Vallender
- Psychiatry and Human Behavior, University of Mississippi
Medical Center, Jackson, MS, USA
| | - Craig A. Stockmeier
- Department of Psychiatry, Case Western Reserve University,
Cleveland, OH, USA,Psychiatry and Human Behavior, University of Mississippi
Medical Center, Jackson, MS, USA
| | - Keith D. Robertson
- Department of Molecular Pharmacology and Experimental
Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Mark A. Frye
- Department of Psychiatry and Psychology, Mayo Clinic,
Rochester, MN, USA
| | - Doo-Sup Choi
- Department of Psychiatry and Psychology, Mayo Clinic,
Rochester, MN, USA,Department of Molecular Pharmacology and Experimental
Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Marin Veldic
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, USA.
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24
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Alemán-Gómez Y, Poch C, Toledano R, Jiménez-Huete A, García-Morales I, Gil-Nagel A, Campo P. Morphometric correlates of anomia in patients with small left temporopolar lesions. J Neuropsychol 2019; 14:260-282. [PMID: 31059211 DOI: 10.1111/jnp.12184] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 03/06/2019] [Indexed: 10/26/2022]
Abstract
Visual object naming is a complex cognitive process that engages an interconnected network of cortical regions moving from occipitotemporal to anterior-inferior temporal cortices, and extending into the inferior frontal cortex. Naming can fail for diverse reasons, and different stages of the naming multi-step process appear to be reliant upon the integrity of different neuroanatomical locations. While the neural correlates of semantic errors have been extensively studied, the neural basis of omission errors remains relatively unspecified. Although a strong line of evidence supports an association between anterior temporal lobe damage and semantic errors, there are some studies suggesting that the anterior temporal lobe could be also associated with omissions. However, support for this hypothesis comes from studies with patients in whom damage affected extensive brain regions, sometimes bilaterally. Here, we availed of a group of 12 patients with epilepsy associated with a small lesion at the tip of the left temporal pole. Using an unbiased surface-based morphometry methodology, we correlated two morphological features with errors observed during visual naming. Analyses revealed a correlation between omission errors and reduced local gyrification index in three cortical clusters: one in the left anteromedial temporal lobe region (AMTL) and two in the left anterior cingulate cortex (ACC). Our findings support the view that regions in ACC and AMTL are critical structures within a network engaged in word selection from semantics.
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Affiliation(s)
- Yasser Alemán-Gómez
- Center for Psychiatric Neuroscience, Department of Psychiatry, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Switzerland.,Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Switzerland.,Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), Lausanne, Switzerland
| | - Claudia Poch
- Department of Basic Psychology, University Complutense of Madrid, Spain.,Instituto Pluridisciplinar, University Complutense of Madrid, Spain.,Facultad de Lenguas y Educación, Universidad Nebrija, Madrid, Spain
| | - Rafael Toledano
- Epilepsy Unit, Neurology Department, Hospital Ruber Internacional, Madrid, Spain.,Epilepsy Unit, Neurology Department, University Hospital of Ramón y Cajal, Madrid, Spain
| | - Adolfo Jiménez-Huete
- Epilepsy Unit, Neurology Department, Hospital Ruber Internacional, Madrid, Spain
| | - Irene García-Morales
- Epilepsy Unit, Neurology Department, Hospital Ruber Internacional, Madrid, Spain.,Epilepsy Unit, Neurology Department, University Hospital of San Carlos, Madrid, Spain
| | - Antonio Gil-Nagel
- Epilepsy Unit, Neurology Department, Hospital Ruber Internacional, Madrid, Spain
| | - Pablo Campo
- Department of Basic Psychology, Autonoma University of Madrid, Spain
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25
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Insausti R, Córcoles-Parada M, Ubero MM, Rodado A, Insausti AM, Muñoz-López M. Cytoarchitectonic Areas of the Gyrus ambiens in the Human Brain. Front Neuroanat 2019; 13:21. [PMID: 30846932 PMCID: PMC6393406 DOI: 10.3389/fnana.2019.00021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Accepted: 02/05/2019] [Indexed: 11/13/2022] Open
Abstract
The Gyrus ambiens is a gross anatomical prominence in the medial temporal lobe (MTL), associated closely with Brodmann area 34 (BA34). It is formed largely by the medial intermediate subfield of the entorhinal cortex (EC) [Brodmann area 28 (BA28)]. Although the MTL has been widely studied due to its well-known role on memory and spatial information, the anatomical relationship between G. ambiens, BA34, and medial intermediate EC subfield has not been completely defined, in particular whether BA34 is part of the EC or a different type of cortex. In order to clarify this issue, we carried out a detailed analysis of 37 human MTLs, determining the exact location of medial intermediate EC subfield and its extent within the G. ambiens, its cortical thickness, and the histological-MRI correspondence of the G. ambiens with the medial intermediate EC subfield in 10 ex vivo MRI. Our results show that the G. ambiens is limited between two small sulci in the medial aspect of the MTL, which correspond almost perfectly to the extent of the medial intermediate EC subfield, although the rostral and caudal extensions of the G. ambiens may extend to the olfactory (rostrally) and intermediate (caudally) entorhinal subfields. Moreover, the cortical thickness averaged 2.5 mm (1.3 mm for layers I-III and 1 mm for layers V-VI). Moreover, distance among different landmarks visible in the MRI scans which are relevant to the identification of the G. ambiens in MRI are provided. These results suggest that BA34 is a part of the EC that fits best with the medial intermediate subfield. The histological data, together with the ex vivo MRI identification and thickness of these structures may be of use when assessing changes in MRI scans in clinical settings, such as Alzheimer disease.
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Affiliation(s)
- Ricardo Insausti
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla–La Mancha, Albacete, Spain
| | - Marta Córcoles-Parada
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla–La Mancha, Albacete, Spain
| | - Mar Maria Ubero
- Departamento de Anatomía, Universidad Católica San Antonio de Murcia, Murcia, Spain
| | - Adriana Rodado
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla–La Mancha, Albacete, Spain
| | - Ana Maria Insausti
- Faculty of Health Sciences, University Public of Navarra, Pamplona, Spain
| | - Mónica Muñoz-López
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla–La Mancha, Albacete, Spain
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26
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Lee DH, Lee P, Seo SW, Roh JH, Oh M, Oh JS, Oh SJ, Kim JS, Jeong Y. Neural substrates of cognitive reserve in Alzheimer's disease spectrum and normal aging. Neuroimage 2019; 186:690-702. [DOI: 10.1016/j.neuroimage.2018.11.053] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 11/27/2018] [Accepted: 11/28/2018] [Indexed: 12/13/2022] Open
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27
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Córcoles-Parada M, Ubero-Martínez M, Morris RGM, Insausti R, Mishkin M, Muñoz-López M. Frontal and Insular Input to the Dorsolateral Temporal Pole in Primates: Implications for Auditory Memory. Front Neurosci 2019; 13:1099. [PMID: 31780878 PMCID: PMC6861303 DOI: 10.3389/fnins.2019.01099] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/30/2019] [Indexed: 01/25/2023] Open
Abstract
The temporal pole (TP) has been involved in multiple functions from emotional and social behavior, semantic processing, memory, language in humans and epilepsy surgery, to the fronto-temporal neurodegenerative disorder (semantic) dementia. However, the role of the TP subdivisions is still unclear, in part due to the lack of quantitative data about TP connectivity. This study focuses in the dorsolateral subdivision of the TP: area 38DL. Area 38DL main input originates in the auditory processing areas of the rostral superior temporal gyrus. Among other connections, area 38DL conveys this auditory highly processed information to the entorhinal, rostral perirhinal, and posterior parahippocampal cortices, presumably for storage in long-term memory (Muñoz-López et al., 2015). However, the connections of the TP with cortical areas beyond the temporal cortex suggest that this area is part of a wider network. With the aim to quantitatively determine the topographical, laminar pattern and weighting of the lateral TP afferents from the frontal and insular cortices, we placed a total of 11 tracer injections of the fluorescent retrograde neuronal tracers Fast Blue and Diamidino Yellow at different levels of the lateral TP in rhesus monkeys. The results showed that circa 50% of the total cortical input to area 38DL originates in medial frontal areas 14, 25, 32, and 24 (25%); orbitofrontal areas Pro and PAll (15%); and the agranular, parainsular and disgranular insula (10%). This study sets the anatomical bases to better understand the function of the dorsolateral division of the TP. More specifically, these results suggest that area 38DL forms part of the wider limbic circuit that might contribute, among other functions, with an auditory component to multimodal memory processing.
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Affiliation(s)
- Marta Córcoles-Parada
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla-La Mancha, Albacete, Spain
| | - Mar Ubero-Martínez
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla-La Mancha, Albacete, Spain.,Department of Anatomy, Catholic University, Murcia, Spain
| | - Richard G M Morris
- Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Ricardo Insausti
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla-La Mancha, Albacete, Spain
| | - Mortimer Mishkin
- Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, ML, United States
| | - Mónica Muñoz-López
- Human Neuroanatomy Laboratory, School of Medicine, University of Castilla-La Mancha, Albacete, Spain.,Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.,Laboratory of Neuropsychology, National Institute of Mental Health, Bethesda, ML, United States
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28
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ten Donkelaar HJ, Tzourio-Mazoyer N, Mai JK. Toward a Common Terminology for the Gyri and Sulci of the Human Cerebral Cortex. Front Neuroanat 2018; 12:93. [PMID: 30510504 PMCID: PMC6252390 DOI: 10.3389/fnana.2018.00093] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Accepted: 10/16/2018] [Indexed: 11/13/2022] Open
Abstract
The gyri and sulci of the human brain were defined by pioneers such as Louis-Pierre Gratiolet and Alexander Ecker, and extensified by, among others, Dejerine (1895) and von Economo and Koskinas (1925). Extensive discussions of the cerebral sulci and their variations were presented by Ono et al. (1990), Duvernoy (1992), Tamraz and Comair (2000), and Rhoton (2007). An anatomical parcellation of the spatially normalized single high resolution T1 volume provided by the Montreal Neurological Institute (MNI; Collins, 1994; Collins et al., 1998) was used for the macroscopical labeling of functional studies (Tzourio-Mazoyer et al., 2002; Rolls et al., 2015). In the standard atlas of the human brain by Mai et al. (2016), the terminology from Mai and Paxinos (2012) is used. It contains an extensively analyzed individual brain hemisphere in the MNI-space. A recent revision of the terminology on the central nervous system in the Terminologia Anatomica (TA, 1998) was made by the Working Group Neuroanatomy of the Federative International Programme for Anatomical Terminology (FIPAT) of the International Federation of Associations of Anatomists (IFAA), and posted online as the Terminologia Neuroanatomica (TNA, 2017: http://FIPAT.library.dal.ca) as the official FIPAT terminology. This review deals with the various terminologies for the cerebral gyri and sulci, aiming for a common terminology.
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Affiliation(s)
- Hans J. ten Donkelaar
- Department of Neurology, Donders Center for Medical Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Jürgen K. Mai
- Institute for Anatomy, Heinrich Heine University, Düsseldorf, Germany
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29
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Pereira AM, Campos BM, Coan AC, Pegoraro LF, de Rezende TJR, Obeso I, Dalgalarrondo P, da Costa JC, Dreher JC, Cendes F. Differences in Cortical Structure and Functional MRI Connectivity in High Functioning Autism. Front Neurol 2018; 9:539. [PMID: 30042724 PMCID: PMC6048242 DOI: 10.3389/fneur.2018.00539] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Accepted: 06/18/2018] [Indexed: 12/13/2022] Open
Abstract
Autism spectrum disorders (ASD) represent a complex group of neurodevelopmental conditions characterized by deficits in communication and social behaviors. We examined the functional connectivity (FC) of the default mode network (DMN) and its relation to multimodal morphometry to investigate superregional, system-level alterations in a group of 22 adolescents and young adults with high-functioning autism compared to age-, and intelligence quotient-matched 29 healthy controls. The main findings were that ASD patients had gray matter (GM) reduction, decreased cortical thickness and larger cortical surface areas in several brain regions, including the cingulate, temporal lobes, and amygdala, as well as increased gyrification in regions associated with encoding visual memories and areas of the sensorimotor component of the DMN, more pronounced in the left hemisphere. Moreover, patients with ASD had decreased connectivity between the posterior cingulate cortex, and areas of the executive control component of the DMN and increased FC between the anteromedial prefrontal cortex and areas of the sensorimotor component of the DMN. Reduced cortical thickness in the right inferior frontal lobe correlated with higher social impairment according to the scores of the Autism Diagnostic Interview-Revised (ADI-R). Reduced cortical thickness in left frontal regions, as well as an increased cortical thickness in the right temporal pole and posterior cingulate, were associated with worse scores on the communication domain of the ADI-R. We found no association between scores on the restrictive and repetitive behaviors domain of ADI-R with structural measures or FC. The combination of these structural and connectivity abnormalities may help to explain some of the core behaviors in high-functioning ASD and need to be investigated further.
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Affiliation(s)
- Alessandra M. Pereira
- Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
- Department of Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Brunno M. Campos
- Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Ana C. Coan
- Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Luiz F. Pegoraro
- Department of Psychiatry, State University of Campinas, Campinas, Brazil
| | - Thiago J. R. de Rezende
- Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
| | - Ignacio Obeso
- Center for Cognitive Neuroscience, Reward and Decision Making Group, Centre National de la Recherche Scientifique, UMR 5229, Lyon, France
- Centro Integral en Neurociencias A.C., Hospital HM Puerta del Sur en Madrid, Madrid, Spain
| | | | - Jaderson C. da Costa
- Department of Pediatrics, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
- Brain Institute (InsCer), Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, Brazil
| | - Jean-Claude Dreher
- Center for Cognitive Neuroscience, Reward and Decision Making Group, Centre National de la Recherche Scientifique, UMR 5229, Lyon, France
| | - Fernando Cendes
- Neuroimaging Laboratory, School of Medical Sciences, The Brazilian Institute of Neuroscience and Neurotechnology, University of Campinas, Campinas, Brazil
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Activation of Entorhinal Cortical Projections to the Dentate Gyrus Underlies Social Memory Retrieval. Cell Rep 2018; 23:2379-2391. [DOI: 10.1016/j.celrep.2018.04.073] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 03/08/2018] [Accepted: 04/17/2018] [Indexed: 12/15/2022] Open
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Lee JO, Lee ES, Kim JS, Lee YB, Jeong Y, Choi BS, Kim JH, Staab JP. Altered brain function in persistent postural perceptual dizziness: A study on resting state functional connectivity. Hum Brain Mapp 2018; 39:3340-3353. [PMID: 29656497 DOI: 10.1002/hbm.24080] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 03/29/2018] [Accepted: 04/03/2018] [Indexed: 11/09/2022] Open
Abstract
This study used resting state functional magnetic resonance imaging (rsfMRI) to investigate whole brain networks in patients with persistent postural perceptual dizziness (PPPD). We compared rsfMRI data from 38 patients with PPPD and 38 healthy controls using whole brain and region of interest analyses. We examined correlations among connectivity and clinical variables and tested the ability of a machine learning algorithm to classify subjects using rsfMRI results. Patients with PPPD showed: (a) increased connectivity of subcallosal cortex with left superior lateral occipital cortex and left middle frontal gyrus, (b) decreased connectivity of left hippocampus with bilateral central opercular cortices, left posterior opercular cortex, right insular cortex and cerebellum, and (c) decreased connectivity between right nucleus accumbens and anterior left temporal fusiform cortex. After controlling for anxiety and depression as covariates, patients with PPPD still showed decreased connectivity between left hippocampus and right inferior frontal gyrus, bilateral temporal lobes, bilateral insular cortices, bilateral central opercular cortex, left parietal opercular cortex, bilateral occipital lobes and cerebellum (bilateral lobules VI and V, and left I-IV). Dizziness handicap, anxiety, and depression correlated with connectivity in clinically meaningful brain regions. The machine learning algorithm correctly classified patients and controls with a sensitivity of 78.4%, specificity of 76.9%, and area under the curve = 0.88 using 11 connectivity parameters. Patients with PPPD showed reduced connectivity among the areas involved in multisensory vestibular processing and spatial cognition, but increased connectivity in networks linking visual and emotional processing. Connectivity patterns may become an imaging biomarker of PPPD.
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Affiliation(s)
- Jin-Ok Lee
- Department of Neurology, Seoul National University of College of Medicine, Seoul National University Bundang Hospital, Republic of Korea
| | - Eek-Sung Lee
- Department of Neurology, Soonchunhyang University Bucheon Hospital, Republic of Korea
| | - Ji-Soo Kim
- Department of Neurology, Seoul National University of College of Medicine, Seoul National University Bundang Hospital, Republic of Korea
| | - Young-Beom Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology, Republic of Korea
| | - Yong Jeong
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Republic of Korea.,KI for Health Science and Technology, Korea Advanced Institute of Science and Technology, Republic of Korea
| | - Byung Se Choi
- Department of Radiology, Seoul National University Bundang Hospital, Republic of Korea
| | - Jae-Hyoung Kim
- Department of Radiology, Seoul National University Bundang Hospital, Republic of Korea
| | - Jeffrey P Staab
- Departments of Psychiatry and Psychology and Otorhinolaryngology - Head and Neck Surgery, Mayo Clinic, Rochester, Minnesota
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Delgado-González JC, Florensa-Vila J, Mansilla-Legorburo F, Insausti R, Artacho-Pérula E. Magnetic Resonance Imaging and Anatomical Correlation of Human Temporal Lobe Landmarks, in 3D Euclidean Space: A Study of Control and Alzheimer's Disease Subjects. J Alzheimers Dis 2018; 57:461-473. [PMID: 28269774 DOI: 10.3233/jad-160944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND The medial temporal lobe (MTL), and in particular the hippocampal formation, is essential in the processing and consolidation of declarative memory. The 3D environment of the anatomical structures contained in the MTL is an important issue. OBJECTIVE Our aim was to explore the spatial relationship of the anatomical structures of the MTL and changes in aging and/or Alzheimer's disease (AD). METHODS MTL anatomical landmarks are identified and registered to create a 3D network. The brain network is quantitatively described as a plane, rostrocaudally-oriented, and presenting Euclidean/real distances. Correspondence between 1.5T RM, 3T RM, and histological sections were assessed to determine the most important recognizable changes in AD, based on statistical significance. RESULTS In both 1.5T and 3T RM images and histology, inter-rater reliability was high. Sex and hemisphere had no influence on network pattern. Minor changes were found in relation to aging. Distances from the temporal pole to the dentate gyrus showed the most significant differences when comparing control and AD groups. The best discriminative distance between control and AD cases was found in the temporal pole/dentate gyrus rostrocaudal length in histological sections. Moreover, more distances between landmarks were required to obtain 100% discrimination between control (divided into <65 years or >65 years) and AD cases. DISCUSSION Changes in the distance between MTL anatomical landmarks can successfully be detected by using measurements of 3D network patterns in control and AD cases.
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Affiliation(s)
- José-Carlos Delgado-González
- Human Neuroanatomy Laboratory and C.R.I.B., School of Medicine, University of Castilla-La Mancha, Albacete, Spain
| | - José Florensa-Vila
- Radiodiagnostic Service, Hospital Nacional de Parapléjicos (HNP), Toledo, Spain
| | - Francisco Mansilla-Legorburo
- Radiology Service, Magnetic Resonance Unit, Complejo Hospitalario Universitario de Albacete (CHUA), Albacete, Spain
| | - Ricardo Insausti
- Human Neuroanatomy Laboratory and C.R.I.B., School of Medicine, University of Castilla-La Mancha, Albacete, Spain
| | - Emilio Artacho-Pérula
- Human Neuroanatomy Laboratory and C.R.I.B., School of Medicine, University of Castilla-La Mancha, Albacete, Spain
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Elder GJ, Mactier K, Colloby SJ, Watson R, Blamire AM, O'Brien JT, Taylor J. The influence of hippocampal atrophy on the cognitive phenotype of dementia with Lewy bodies. Int J Geriatr Psychiatry 2017; 32:1182-1189. [PMID: 28425185 PMCID: PMC5655697 DOI: 10.1002/gps.4719] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 03/16/2017] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The level of hippocampal atrophy in dementia with Lewy bodies (DLB) is typically less than that observed in Alzheimer's disease (AD). However, it is not known how the cognitive phenotype of DLB is influenced by hippocampal atrophy or the atrophy of adjacent medial temporal lobe structures. METHODS Dementia with Lewy bodies (n = 65), AD (n = 76) and control (n = 63) participants underwent 3T magnetic resonance imaging and cognitive Cambridge Cognitive Examination and Mini-Mental State Examination (CAMCOG and MMSE) assessments. Hippocampal volume, and parahippocampal, entorhinal and temporal pole cortical thickness, was compared between groups. Regression models were used to investigate whether hippocampal volume and cortical thickness associated with global cognition and cognitive subdomains. RESULTS Dementia with Lewy bodies, AD and control participants showed significantly different hippocampal, parahippocampal and entorhinal cortical thinning, where atrophy was greatest in AD and intermediate in DLB. Temporal pole thickness was reduced in DLB and AD compared with control participants. In DLB, but not AD, hippocampal volume associated with total CAMCOG, CAMCOG memory and MMSE scores. In DLB, parahippocampal, entorhinal and temporal pole thickness associated with total CAMCOG and CAMCOG memory scores, parahippocampal thickness associated with MMSE scores, and entorhinal thickness associated with CAMCOG executive function scores. CONCLUSIONS In this large sample, these results are in agreement with other studies indicating that hippocampal atrophy is less severe in DLB than AD. Hippocampal atrophy and medial temporal lobe cortical thickness were associated with the severity of cognitive symptoms, suggesting that atrophy in these structures, as a potential proxy of AD pathology, may partly mediate specific DLB cognitive symptoms. © 2017 The Authors. International Journal of Geriatric Psychiatry Published by John Wiley & Sons Ltd.
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Affiliation(s)
- Greg J. Elder
- Institute of NeuroscienceNewcastle University, Campus for Ageing and VitalityNewcastle upon TyneUK
| | - Karen Mactier
- Institute of NeuroscienceNewcastle University, Campus for Ageing and VitalityNewcastle upon TyneUK
| | - Sean J. Colloby
- Institute of NeuroscienceNewcastle University, Campus for Ageing and VitalityNewcastle upon TyneUK
| | - Rosie Watson
- The Florey Institute of Neuroscience and Mental HealthParkvilleVICAustralia
| | - Andrew M. Blamire
- Newcastle Magnetic Resonance CentreNewcastle UniversityNewcastle upon TyneUK
| | | | - John‐Paul Taylor
- Institute of NeuroscienceNewcastle University, Campus for Ageing and VitalityNewcastle upon TyneUK
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34
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Wu Y, Tian X. Regional homogeneity of intrinsic brain activity correlates with justice sensitivity. PERSONALITY AND INDIVIDUAL DIFFERENCES 2017. [DOI: 10.1016/j.paid.2017.04.038] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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35
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Chavoix C, Insausti R. Self-awareness and the medial temporal lobe in neurodegenerative diseases. Neurosci Biobehav Rev 2017; 78:1-12. [DOI: 10.1016/j.neubiorev.2017.04.015] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/03/2017] [Accepted: 04/15/2017] [Indexed: 12/13/2022]
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36
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Cao W, Zhang Y, Hou C, Yang F, Gong J, Jiang S, Huang Y, Xiao R, Luo C, Wang X, Yao D. Abnormal asymmetry in benign epilepsy with unilateral and bilateral centrotemporal spikes: A combined fMRI and DTI study. Epilepsy Res 2017. [PMID: 28623837 DOI: 10.1016/j.eplepsyres.2017.06.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Benign epilepsy with centrotemporal spikes (BECTS) is the most common idiopathic focal childhood epilepsy associated with either unilateral or bilateral epileptic discharge. Asymmetry as an important characteristic of the human brain is beneficial for brain functions. However, little is known about on asymmetry of BECTS patients with different epileptic spikes pattern. In the present study, we investigated functional and structural asymmetries in unilateral spikes BECTS (U_BECTS) patients and bilateral spikes BECTS (B_BECTS) patients using resting state functional magnetic resonance images and diffusion tensor imaging. Compared with the controls, we observed a decreased voxel-mirrored interhemispheric functional connectivity (FC) in primary sensorimotor cortex (SM1) in U_BECTS and B_BECTS groups, and reduced fractional anisotropy (FA) values of the corpus callosum (CC) connecting bilateral SM1 were also observed in B_BECTS group. Further region-based FC map analysis of SM1 demonstrated increased functional asymmetry with ipsilateral hemisphere, contralateral hemisphere and the whole brain in U_BECTS and increased functional asymmetry with the contralateral hemisphere and the whole brain in B_BECTS groups. The correlation between functional asymmetry of SM1 and intelligence quotient scores was found in the U_BECTS group. The altered asymmetries of the SM1 further indicated the important role of SM1 in the pathophysiology of the BECTS. Furthermore, the B_BECTS group also showed abnormal voxel-mirrored interhemispheric FC in the temporal pole, the lobule IX of the cerebellum, the caudate and the occipital cortex relative to the controls. Altogether, our findings provide additional insight into the neuronal mechanism of BECTS with different epileptic spikes pattern and cognitive impairments with BECTS patients.
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Affiliation(s)
- Weifang Cao
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yaodan Zhang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, NanChong, China
| | - Changyue Hou
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Fei Yang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, NanChong, China
| | - Jinnan Gong
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Sisi Jiang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Yue Huang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, NanChong, China
| | - Ruhui Xiao
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, NanChong, China
| | - Cheng Luo
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
| | - Xiaoming Wang
- Neurology Department, Affiliated Hospital of North Sichuan Medical College, North Sichuan Medical College, NanChong, China.
| | - Dezhong Yao
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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Panis S, Torfs K, Gillebert CR, Wagemans J, Humphreys GW. Neuropsychological evidence for the temporal dynamics of category-specific naming. VISUAL COGNITION 2017; 25:79-99. [PMID: 29238759 PMCID: PMC5706980 DOI: 10.1080/13506285.2017.1330790] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 04/25/2017] [Indexed: 12/05/2022]
Abstract
Multiple accounts have been proposed to explain category-specific recognition impairments. Some suggest that category-specific deficits may be caused by a deficit in recurrent processing between the levels of a hierarchically organized visual object recognition system. Here, we tested predictions of interactive processing theories on the emergence of category-selective naming deficits in neurologically intact observers and in patient GA, a single case showing a category-specific impairment for natural objects after a herpes simplex encephalitis infection. Fragmented object outlines were repeatedly presented until correct naming occurred (maximum 10 times), and the fragments increased in length with every repetition. We studied how shape complexity, object category, and fragment curvature influence the timing of correct object identification. The results of a survival analysis are consistent with the idea that deficits in recurrent processing between low- and high-level visual object representations can cause category-selective impairments.
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Affiliation(s)
- Sven Panis
- Experimental Psychology Unit, University of Kaiserslautern, Kaiserslautern, Germany
- Laboratory of Experimental Psychology, University of Leuven, Leuven, Belgium
| | - Katrien Torfs
- Laboratory of Experimental Psychology, University of Leuven, Leuven, Belgium
| | - Celine R. Gillebert
- Laboratory of Experimental Psychology, University of Leuven, Leuven, Belgium
- Department of Experimental Psychology, University of Oxford, Oxford, UK
| | - Johan Wagemans
- Laboratory of Experimental Psychology, University of Leuven, Leuven, Belgium
| | - Glyn W. Humphreys
- Department of Experimental Psychology, University of Oxford, Oxford, UK
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Roalf DR, Quarmley M, Calkins ME, Satterthwaite TD, Ruparel K, Elliott MA, Moore TM, Gur RC, Gur RE, Moberg PJ, Turetsky BI. Temporal Lobe Volume Decrements in Psychosis Spectrum Youths. Schizophr Bull 2017; 43:601-610. [PMID: 27559077 PMCID: PMC5463880 DOI: 10.1093/schbul/sbw112] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Structural brain abnormalities have been amply demonstrated in schizophrenia. These include volume decrements in the perirhinal/entorhinal regions of the ventromedial temporal lobe, which comprise the primary olfactory cortex. Olfactory impairments, which are a hallmark of schizophrenia, precede the onset of illness, distinguish adolescents experiencing prodromal symptoms from healthy youths, and may predict the transition from the prodrome to frank psychosis. We therefore examined temporal lobe regional volumes in a large adolescent sample to determine if structural deficits in ventromedial temporal lobe areas were associated, not only with schizophrenia, but also with a heightened risk for psychosis. Seven temporal lobe regional volumes (amygdala [AM], hippocampus, inferior temporal gyrus, parahippocampal gyrus, superior temporal gyrus, temporal pole, and entorhinal cortex [EC]) were measured in 386 psychosis spectrum adolescents, 521 adolescents with other types of psychopathology, and 359 healthy adolescents from the Philadelphia Neurodevelopment Cohort. Total intracranial and left EC volumes, which were both smallest among the psychosis spectrum, were the only measures that distinguished all 3 groups. Left AM was also smaller in psychosis spectrum compared with healthy subjects. EC volume decrement was strongly correlated with impaired cognition and less robustly associated with heightened negative/disorganized symptoms. AM volume decrement correlated with positive symptoms (persecution/special abilities). Temporal lobe volumes classified psychosis spectrum youths with very high specificity but relatively low sensitivity. These MRI measures may therefore serve as important confirmatory biomarkers denoting a worrisome preclinical trajectory among at-risk youths, and the specific pattern of deficits may predict specific symptom profiles.
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Affiliation(s)
- David R. Roalf
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Megan Quarmley
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Monica E. Calkins
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Theodore D. Satterthwaite
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Kosha Ruparel
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Mark A. Elliott
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Tyler M. Moore
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ruben C. Gur
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA;,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Raquel E. Gur
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA;,Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Paul J. Moberg
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA;,Smell and Taste Center, Department of Otorhinolaryngology—Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Bruce I. Turetsky
- Department of Psychiatry, Neuropsychiatry Division, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA;,Smell and Taste Center, Department of Otorhinolaryngology—Head and Neck Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Theta Burst Stimulation of the Precuneus Modulates Resting State Connectivity in the Left Temporal Pole. Brain Topogr 2017; 30:312-319. [DOI: 10.1007/s10548-017-0559-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Accepted: 03/07/2017] [Indexed: 10/20/2022]
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40
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Peter J, Kaiser J, Landerer V, Köstering L, Kaller CP, Heimbach B, Hüll M, Bormann T, Klöppel S. Category and design fluency in mild cognitive impairment: Performance, strategy use, and neural correlates. Neuropsychologia 2016; 93:21-29. [DOI: 10.1016/j.neuropsychologia.2016.09.024] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 09/20/2016] [Accepted: 09/28/2016] [Indexed: 01/14/2023]
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Connectomics-based structural network alterations in obsessive-compulsive disorder. Transl Psychiatry 2016; 6:e882. [PMID: 27598966 PMCID: PMC5048203 DOI: 10.1038/tp.2016.163] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 07/11/2016] [Accepted: 07/18/2016] [Indexed: 01/12/2023] Open
Abstract
Given the strong involvement of affect in obsessive-compulsive disorder (OCD) and recent findings, the current cortico-striato-thalamo-cortical (CSTC) model of pathophysiology has repeatedly been questioned regarding the specific role of regions involved in emotion processing such as limbic areas. Employing a connectomics approach enables us to characterize structural connectivity on a whole-brain level, extending beyond the CSTC circuitry. Whole-brain structural networks of 41 patients and 42 matched healthy controls were analyzed based on 83 × 83 connectivity matrices derived from cortical and subcortical parcellation of structural T1-weighted magnetic resonance scans and deterministic fiber tracking based on diffusion tensor imaging data. To assess group differences in structural connectivity, the framework of network-based statistic (NBS) was applied. Graph theoretical measures were calculated to further assess local and global network characteristics. The NBS analysis revealed a single network consistently displaying decreased structural connectivity in patients comprising orbitofrontal, striatal, insula and temporo-limbic areas. In addition, graph theoretical measures indicated local alterations for amygdala and temporal pole while the overall topology of the network was preserved. To the best of our knowledge, this is the first study combining the NBS with graph theoretical measures in OCD. Along with regions commonly described in the CSTC model of pathophysiology, our results indicate an involvement of mainly temporo-limbic regions typically associated with emotion processing supporting their importance for neurobiological alterations in OCD.
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Jastorff J, De Winter FL, Van den Stock J, Vandenberghe R, Giese MA, Vandenbulcke M. Functional dissociation between anterior temporal lobe and inferior frontal gyrus in the processing of dynamic body expressions: Insights from behavioral variant frontotemporal dementia. Hum Brain Mapp 2016; 37:4472-4486. [PMID: 27510944 DOI: 10.1002/hbm.23322] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 06/29/2016] [Accepted: 07/15/2016] [Indexed: 11/11/2022] Open
Abstract
Several brain regions are involved in the processing of emotional stimuli, however, the contribution of specific regions to emotion perception is still under debate. To investigate this issue, we combined behavioral testing, structural and resting state imaging in patients diagnosed with behavioral variant frontotemporal dementia (bvFTD) and age matched controls, with task-based functional imaging in young, healthy volunteers. As expected, bvFTD patients were impaired in emotion detection as well as emotion categorization tasks, testing dynamic emotional body expressions as stimuli. Interestingly, their performance in the two tasks correlated with gray matter volume in two distinct brain regions, the left anterior temporal lobe for emotion detection and the left inferior frontal gyrus (IFG) for emotion categorization. Confirming this observation, multivoxel pattern analysis in healthy volunteers demonstrated that both ROIs contained information for emotion detection, but that emotion categorization was only possible from the pattern in the IFG. Furthermore, functional connectivity analysis showed reduced connectivity between the two regions in bvFTD patients. Our results illustrate that the mentalizing network and the action observation network perform distinct tasks during emotion processing. In bvFTD, communication between the networks is reduced, indicating one possible cause underlying the behavioral symptoms. Hum Brain Mapp 37:4472-4486, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Jan Jastorff
- Laboratory for Translational Neuropsychiatry, Division of Psychiatry, Department of Neurosciences, KU Leuven, Belgium
| | - Francois-Laurent De Winter
- Laboratory for Translational Neuropsychiatry, Division of Psychiatry, Department of Neurosciences, KU Leuven, Belgium.,Department of Old Age Psychiatry, University Hospitals Leuven, Belgium
| | - Jan Van den Stock
- Laboratory for Translational Neuropsychiatry, Division of Psychiatry, Department of Neurosciences, KU Leuven, Belgium.,Department of Old Age Psychiatry, University Hospitals Leuven, Belgium
| | - Rik Vandenberghe
- Laboratory for Cognitive Neurology, Department of Neurosciences, KU Leuven, Belgium.,Department of Neurology, University Hospitals Leuven, Leuven, Belgium
| | - Martin A Giese
- Section for Computational Sensomotorics, Department of Cognitive Neurology, University Clinic Tübingen, Tübingen, 72076, Germany
| | - Mathieu Vandenbulcke
- Laboratory for Translational Neuropsychiatry, Division of Psychiatry, Department of Neurosciences, KU Leuven, Belgium.,Department of Old Age Psychiatry, University Hospitals Leuven, Belgium
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Collins JA, Koski JE, Olson IR. More Than Meets the Eye: The Merging of Perceptual and Conceptual Knowledge in the Anterior Temporal Face Area. Front Hum Neurosci 2016; 10:189. [PMID: 27199711 PMCID: PMC4852584 DOI: 10.3389/fnhum.2016.00189] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 04/14/2016] [Indexed: 11/13/2022] Open
Abstract
An emerging body of research has supported the existence of a small face sensitive region in the ventral anterior temporal lobe (ATL), referred to here as the "anterior temporal face area". The contribution of this region in the greater face-processing network remains poorly understood. The goal of the present study was to test the relative sensitivity of this region to perceptual as well as conceptual information about people and objects. We contrasted the sensitivity of this region to that of two highly-studied face-sensitive regions, the fusiform face area (FFA) and the occipital face area (OFA), as well as a control region in early visual cortex (EVC). Our findings revealed that multivoxel activity patterns in the anterior temporal face area contain information about facial identity, as well as conceptual attributes such as one's occupation. The sensitivity of this region to the conceptual attributes of people was greater than that of posterior face processing regions. In addition, the anterior temporal face area overlaps with voxels that contain information about the conceptual attributes of concrete objects, supporting a generalized role of the ventral ATLs in the identification and conceptual processing of multiple stimulus classes.
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Affiliation(s)
- Jessica A Collins
- Frontotemporal Dementia Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School Charlestown, MA, USA
| | - Jessica E Koski
- Department of Psychology, University of Texas Austin Austin, TX, USA
| | - Ingrid R Olson
- Department of Psychology, Temple University Philadelphia, PA, USA
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Papinutto N, Galantucci S, Mandelli ML, Gesierich B, Jovicich J, Caverzasi E, Henry RG, Seeley WW, Miller BL, Shapiro KA, Gorno-Tempini ML. Structural connectivity of the human anterior temporal lobe: A diffusion magnetic resonance imaging study. Hum Brain Mapp 2016; 37:2210-22. [PMID: 26945805 DOI: 10.1002/hbm.23167] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2015] [Revised: 02/10/2016] [Accepted: 02/21/2016] [Indexed: 11/07/2022] Open
Abstract
The anterior temporal lobes (ATL) have been implicated in a range of cognitive functions including auditory and visual perception, language, semantic knowledge, and social-emotional processing. However, the anatomical relationships between the ATLs and the broader cortical networks that subserve these functions have not been fully elucidated. Using diffusion tensor imaging (DTI) and probabilistic tractography, we tested the hypothesis that functional segregation of information in the ATLs is reflected by distinct patterns of structural connectivity to regions outside the ATLs. We performed a parcellation of the ATLs bilaterally based on the degree of connectivity of each voxel with eight ipsilateral target regions known to be involved in various cognitive networks. Six discrete segments within each ATL showed preferential connectivity to one of the ipsilateral target regions, via four major fiber tracts (uncinate, inferior longitudinal, middle longitudinal, and arcuate fasciculi). Two noteworthy interhemispheric differences were observed: connections between the ATL and orbito-frontal areas were stronger in the right hemisphere, while the consistency of the connection between the ATL and the inferior frontal gyrus through the arcuate fasciculus was greater in the left hemisphere. Our findings support the hypothesis that distinct regions within the ATLs have anatomical connections to different cognitive networks. Hum Brain Mapp 37:2210-2222, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Nico Papinutto
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Sebastiano Galantucci
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria Luisa Mandelli
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Benno Gesierich
- Institute for Stroke and Dementia Research, Ludwig-Maximilians-University, Munich, Germany
| | - Jorge Jovicich
- Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy
| | - Eduardo Caverzasi
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Roland G Henry
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - William W Seeley
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Bruce L Miller
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Kevin A Shapiro
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
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Dissociable brain correlates for depression, anxiety, dissociation, and somatization in depersonalization-derealization disorder. CNS Spectr 2016; 21:35-42. [PMID: 24059962 DOI: 10.1017/s1092852913000588] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The cerebral mechanisms of traits associated with depersonalization-derealization disorder (DPRD) remain poorly understood. METHOD Happy and sad emotion expressions were presented to DPRD and non-referred control (NC) subjects in an implicit event-related functional magnetic resonance imaging (fMRI) design, and correlated with self report scales reflecting typical co-morbidities of DPRD: depression, dissociation, anxiety, somatization. RESULTS Significant differences between the slopes of the two groups were observed for somatization in the right temporal operculum (happy) and ventral striatum, bilaterally (sad). Discriminative regions for symptoms of depression were the right pulvinar (happy) and left amygdala (sad). For dissociation, discriminative regions were the left mesial inferior temporal gyrus (happy) and left supramarginal gyrus (sad). For state anxiety, discriminative regions were the left inferior frontal gyrus (happy) and parahippocampal gyrus (sad). For trait anxiety, discriminative regions were the right caudate head (happy) and left superior temporal gyrus (sad). Discussion The ascertained brain regions are in line with previous findings for the respective traits. The findings suggest separate brain systems for each trait. CONCLUSION Our results do not justify any bias for a certain nosological category in DPRD.
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Fan L, Li H, Yu S, Jiang T. Human Brainnetome Atlas and Its Potential Applications in Brain-Inspired Computing. LECTURE NOTES IN COMPUTER SCIENCE 2016. [DOI: 10.1007/978-3-319-50862-7_1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Augustinack JC, van der Kouwe AJW. Postmortem imaging and neuropathologic correlations. HANDBOOK OF CLINICAL NEUROLOGY 2016; 136:1321-39. [PMID: 27430472 DOI: 10.1016/b978-0-444-53486-6.00069-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Postmortem imaging refers to scanning autopsy specimens using magnetic resonance imaging (MRI) or optical imaging. This chapter summarizes postmortem imaging and its usefulness in brain mapping. Standard in vivo MRI has limited resolution due to time constraints and does not deliver cortical boundaries (e.g., Brodmann areas). Postmortem imaging offers a means to obtain ultra-high-resolution images with appropriate contrast for delineating cortical regions. Postmortem imaging provides the ability to validate MRI properties against histologic stained sections. This approach has enabled probabilistic mapping that is based on ex vivo MRI contrast, validated to histology, and subsequently mapped on to an in vivo model. This chapter emphasizes structural imaging, which can be validated with histologic assessment. Postmortem imaging has been applied to neuropathologic studies as well. This chapter includes many ex vivo studies, but focuses on studies of the medial temporal lobe, often involved in neurologic disease. New research using optical imaging is also highlighted.
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Affiliation(s)
- Jean C Augustinack
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA.
| | - André J W van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
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Rice GE, Lambon Ralph MA, Hoffman P. The Roles of Left Versus Right Anterior Temporal Lobes in Conceptual Knowledge: An ALE Meta-analysis of 97 Functional Neuroimaging Studies. Cereb Cortex 2015; 25:4374-91. [PMID: 25771223 PMCID: PMC4816787 DOI: 10.1093/cercor/bhv024] [Citation(s) in RCA: 204] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
The roles of the right and left anterior temporal lobes (ATLs) in conceptual knowledge are a source of debate between 4 conflicting accounts. Possible ATL specializations include: (1) Processing of verbal versus non-verbal inputs; (2) the involvement of word retrieval; and (3) the social content of the stimuli. Conversely, the "hub-and-spoke" account holds that both ATLs form a bilateral functionally unified system. Using activation likelihood estimation (ALE) to compare the probability of left and right ATL activation, we analyzed 97 functional neuroimaging studies of conceptual knowledge, organized according to the predictions of the three specialized hypotheses. The primary result was that ATL activation was predominately bilateral and highly overlapping for all stimulus types. Secondary to this bilateral representation, there were subtle gradations both between and within the ATLs. Activations were more likely to be left lateralized when the input was a written word or when word retrieval was required. These data are best accommodated by a graded version of the hub-and-spoke account, whereby representation of conceptual knowledge is supported through bilateral yet graded connectivity between the ATLs and various modality-specific sensory, motor, and limbic cortices.
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Affiliation(s)
- Grace E Rice
- Neuroscience and Aphasia Research Unit (NARU), School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Matthew A Lambon Ralph
- Neuroscience and Aphasia Research Unit (NARU), School of Psychological Sciences, University of Manchester, Manchester, UK
| | - Paul Hoffman
- Neuroscience and Aphasia Research Unit (NARU), School of Psychological Sciences, University of Manchester, Manchester, UK
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Muñoz-López M, Insausti R, Mohedano-Moriano A, Mishkin M, Saunders RC. Anatomical pathways for auditory memory II: information from rostral superior temporal gyrus to dorsolateral temporal pole and medial temporal cortex. Front Neurosci 2015; 9:158. [PMID: 26041980 PMCID: PMC4435056 DOI: 10.3389/fnins.2015.00158] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Accepted: 04/16/2015] [Indexed: 12/29/2022] Open
Abstract
Auditory recognition memory in non-human primates differs from recognition memory in other sensory systems. Monkeys learn the rule for visual and tactile delayed matching-to-sample within a few sessions, and then show one-trial recognition memory lasting 10–20 min. In contrast, monkeys require hundreds of sessions to master the rule for auditory recognition, and then show retention lasting no longer than 30–40 s. Moreover, unlike the severe effects of rhinal lesions on visual memory, such lesions have no effect on the monkeys' auditory memory performance. The anatomical pathways for auditory memory may differ from those in vision. Long-term visual recognition memory requires anatomical connections from the visual association area TE with areas 35 and 36 of the perirhinal cortex (PRC). We examined whether there is a similar anatomical route for auditory processing, or that poor auditory recognition memory may reflect the lack of such a pathway. Our hypothesis is that an auditory pathway for recognition memory originates in the higher order processing areas of the rostral superior temporal gyrus (rSTG), and then connects via the dorsolateral temporal pole to access the rhinal cortex of the medial temporal lobe. To test this, we placed retrograde (3% FB and 2% DY) and anterograde (10% BDA 10,000 mW) tracer injections in rSTG and the dorsolateral area 38DL of the temporal pole. Results showed that area 38DL receives dense projections from auditory association areas Ts1, TAa, TPO of the rSTG, from the rostral parabelt and, to a lesser extent, from areas Ts2-3 and PGa. In turn, area 38DL projects densely to area 35 of PRC, entorhinal cortex (EC), and to areas TH/TF of the posterior parahippocampal cortex. Significantly, this projection avoids most of area 36r/c of PRC. This anatomical arrangement may contribute to our understanding of the poor auditory memory of rhesus monkeys.
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Affiliation(s)
- M Muñoz-López
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA ; Human Neuroanatomy Laboratory and Regional Centre for Biomedical Research (CRIB), School of Medicine, University of Castilla-La Mancha Albacete, Spain
| | - R Insausti
- Human Neuroanatomy Laboratory and Regional Centre for Biomedical Research (CRIB), School of Medicine, University of Castilla-La Mancha Albacete, Spain
| | - A Mohedano-Moriano
- Human Neuroanatomy Laboratory and Regional Centre for Biomedical Research (CRIB), School of Medicine, University of Castilla-La Mancha Albacete, Spain
| | - M Mishkin
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA
| | - R C Saunders
- Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health Bethesda, MD, USA
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Farrugia N, Jakubowski K, Cusack R, Stewart L. Tunes stuck in your brain: The frequency and affective evaluation of involuntary musical imagery correlate with cortical structure. Conscious Cogn 2015; 35:66-77. [PMID: 25978461 DOI: 10.1016/j.concog.2015.04.020] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 03/26/2015] [Accepted: 04/27/2015] [Indexed: 01/15/2023]
Abstract
Recent years have seen a growing interest in the neuroscience of spontaneous cognition. One form of such cognition is involuntary musical imagery (INMI), the non-pathological and everyday experience of having music in one's head, in the absence of an external stimulus. In this study, aspects of INMI, including frequency and affective evaluation, were measured by self-report in 44 subjects and related to variation in brain structure in these individuals. Frequency of INMI was related to cortical thickness in regions of right frontal and temporal cortices as well as the anterior cingulate and left angular gyrus. Affective aspects of INMI, namely the extent to which subjects wished to suppress INMI or considered them helpful, were related to gray matter volume in right temporopolar and parahippocampal cortices respectively. These results provide the first evidence that INMI is a common internal experience recruiting brain networks involved in perception, emotions, memory and spontaneous thoughts.
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Affiliation(s)
- Nicolas Farrugia
- Goldsmiths, University of London, New Cross, London SE14 6NW, UK.
| | - Kelly Jakubowski
- Goldsmiths, University of London, New Cross, London SE14 6NW, UK; Medical Research Council, Cognition and Brain Sciences Unit, Cambridge CB2 7EF, UK
| | - Rhodri Cusack
- Brain and Mind Institute, Western University, London, Ontario N6A 5B7, Canada
| | - Lauren Stewart
- Goldsmiths, University of London, New Cross, London SE14 6NW, UK
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