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Farrher E, Grinberg F, Khechiashvili T, Neuner I, Konrad K, Shah NJ. Spatiotemporal Patterns of White Matter Maturation after Pre-Adolescence: A Diffusion Kurtosis Imaging Study. Brain Sci 2024; 14:495. [PMID: 38790472 PMCID: PMC11119177 DOI: 10.3390/brainsci14050495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 05/03/2024] [Accepted: 05/07/2024] [Indexed: 05/26/2024] Open
Abstract
Diffusion tensor imaging (DTI) enables the assessment of changes in brain tissue microstructure during maturation and ageing. In general, patterns of cerebral maturation and decline render non-monotonic lifespan trajectories of DTI metrics with age, and, importantly, the rate of microstructural changes is heterochronous for various white matter fibres. Recent studies have demonstrated that diffusion kurtosis imaging (DKI) metrics are more sensitive to microstructural changes during ageing compared to those of DTI. In a previous work, we demonstrated that the Cohen's d of mean diffusional kurtosis (dMK) represents a useful biomarker for quantifying maturation heterochronicity. However, some inferences on the maturation grades of different fibre types, such as association, projection, and commissural, were of a preliminary nature due to the insufficient number of fibres considered. Hence, the purpose of this follow-up work was to further explore the heterochronicity of microstructural maturation between pre-adolescence and middle adulthood based on DTI and DKI metrics. Using the effect size of the between-group parametric changes and Cohen's d, we observed that all commissural fibres achieved the highest level of maturity, followed by the majority of projection fibres, while the majority of association fibres were the least matured. We also demonstrated that dMK strongly correlates with the maxima or minima of the lifespan curves of DTI metrics. Furthermore, our results provide substantial evidence for the existence of spatial gradients in the timing of white matter maturation. In conclusion, our data suggest that DKI provides useful biomarkers for the investigation of maturation spatial heterogeneity and heterochronicity.
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Affiliation(s)
- Ezequiel Farrher
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, 52425 Jülich, Germany; (F.G.); (T.K.); (I.N.); (N.J.S.)
| | - Farida Grinberg
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, 52425 Jülich, Germany; (F.G.); (T.K.); (I.N.); (N.J.S.)
- Department of Neurology, RWTH Aachen University, 52074 Aachen, Germany
| | - Tamara Khechiashvili
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, 52425 Jülich, Germany; (F.G.); (T.K.); (I.N.); (N.J.S.)
| | - Irene Neuner
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, 52425 Jülich, Germany; (F.G.); (T.K.); (I.N.); (N.J.S.)
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany
- JARA—BRAIN—Translational Medicine, 52074 Aachen, Germany;
| | - Kerstin Konrad
- JARA—BRAIN—Translational Medicine, 52074 Aachen, Germany;
- Child Neuropsychology Section, Department of Child and Adolescent Psychiatry and Psychotherapy, RWTH Aachen University, 52074 Aachen, Germany
- Institute of Neuroscience and Medicine 3, INM-3, Forschungszentrum Jülich, 52425 Jülich, Germany
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, 52425 Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, 52425 Jülich, Germany; (F.G.); (T.K.); (I.N.); (N.J.S.)
- Department of Neurology, RWTH Aachen University, 52074 Aachen, Germany
- JARA—BRAIN—Translational Medicine, 52074 Aachen, Germany;
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, 52425 Jülich, Germany
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Makris N, Rushmore R, Yeterian E. A proposed structural connectivity matrices approach for the superior fronto-occipital fascicle in the Harvard-Oxford Atlas comparative framework following the Pandya comparative extrapolation principle. J Comp Neurol 2023; 531:2172-2184. [PMID: 38010231 PMCID: PMC11019921 DOI: 10.1002/cne.25562] [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: 04/10/2023] [Revised: 09/19/2023] [Accepted: 10/13/2023] [Indexed: 11/29/2023]
Abstract
A key set of connections necessary for the most complex brain functions are the long association cortico-cortical fiber tracts. These pathways have been described by the Dejerines and others using post mortem histological or brain dissection techniques. Given methodological limitations, these fiber connections have not been delineated completely in humans. Although the stem portions of fiber tracts have been identified in humans, their precise origins and terminations remain to be determined. By contrast, the origins and terminations as well as the stems of long cortico-cortical association fiber pathways in monkeys have been detailed in the macaque monkey brain using experimental tract tracing methods. Deepak Pandya made major contributions to the delineation of fiber tracts in the monkey brain. In the early 1990s, he compared his observations in monkeys with the original descriptions in humans by the Dejerines. With the advent of diffusion-weighted imaging, Dr. Pandya extended this line of investigation to the human brain with Dr. Nikos Makris. In this translational analysis of long association cortico-cortical fiber tracts, they applied a principle of extrapolation from monkey to human. In the present study, we addressed the reasoning and the complex methodology in translating brain structural connectivity from monkey to human in one cortico-cortical fiber tract, namely the superior fronto-occipital fascicle, which was delineated in both species by Dr. Pandya and colleagues. Furthermore, we represented this information in the form of connectional matrices in the context of the HOA2.0-ComPaRe framework, a homological monkey-to-human translational system used in neuroimaging.
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Affiliation(s)
- Nikos Makris
- Center for Morphometric Analysis, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Richard Rushmore
- Center for Morphometric Analysis, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Psychiatry Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Edward Yeterian
- Center for Morphometric Analysis, Departments of Psychiatry and Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Psychology, Colby College, Waterville, ME, USA
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Magielse N, Toro R, Steigauf V, Abbaspour M, Eickhoff SB, Heuer K, Valk SL. Phylogenetic comparative analysis of the cerebello-cerebral system in 34 species highlights primate-general expansion of cerebellar crura I-II. Commun Biol 2023; 6:1188. [PMID: 37993596 PMCID: PMC10665558 DOI: 10.1038/s42003-023-05553-z] [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: 03/16/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023] Open
Abstract
The reciprocal connections between the cerebellum and the cerebrum have been suggested to simultaneously play a role in brain size increase and to support a broad array of brain functions in primates. The cerebello-cerebral system has undergone marked functionally relevant reorganization. In particular, the lateral cerebellar lobules crura I-II (the ansiform) have been suggested to be expanded in hominoids. Here, we manually segmented 63 cerebella (34 primate species; 9 infraorders) and 30 ansiforms (13 species; 8 infraorders) to understand how their volumes have evolved over the primate lineage. Together, our analyses support proportional cerebellar-cerebral scaling, whereas ansiforms have expanded faster than the cerebellum and cerebrum. We did not find different scaling between strepsirrhines and haplorhines, nor between apes and non-apes. In sum, our study shows primate-general structural reorganization of the ansiform, relative to the cerebello-cerebral system, which is relevant for specialized brain functions in an evolutionary context.
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Grants
- RT and KH are supported by the French Agence Nationale de la Recherche, projects NeuroWebLab (ANR-19-DATA-0025) and DMOBE (ANR-21-CE45-0016). KH received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No101033485 (Individual Fellowship). Last, this work was funded in part by Helmholtz Association’s Initiative and Networking Fund under the Helmholtz International Lab grant agreement InterLabs-0015, and the Canada First Research Excellence Fund (CFREF Competition 2, 2015–2016), awarded to the Healthy Brains, Healthy Lives initiative at McGill University, through the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL), including NM, SBE, and SLV.
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Affiliation(s)
- Neville Magielse
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
| | - Roberto Toro
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
| | - Vanessa Steigauf
- Department of Biology, Northern Michigan University, 1401 Presque Isle Ave, MI, 49855, Marquette, USA
| | - Mahta Abbaspour
- Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, Haus 1, 10117, Berlin, Germany
- Department of Neurology, Charité - Universitätsmedizin Berlin, Bonhoefferweg 3, 10117, Berlin, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany
| | - Katja Heuer
- Institut Pasteur, Unité de Neuroanatomie Appliquée et Théorique, Université Paris Cité, 25 rue du Dr. Roux, 75724, Paris, France
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany
| | - Sofie L Valk
- Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Center Jülich, Wilhelm-Johnen-Straße, 52428, Jülich, Germany.
- Otto Hahn Cognitive Neurogenetics Group, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103, Leipzig, Germany.
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Moorenstraße 5, 40225, Düsseldorf, Germany.
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Zheng J, Yang Q, Makris N, Huang K, Liang J, Ye C, Yu X, Tian M, Ma T, Mou T, Guo W, Kikinis R, Gao Y. Three-Dimensional Digital Reconstruction of the Cerebellar Cortex: Lobule Thickness, Surface Area Measurements, and Layer Architecture. CEREBELLUM (LONDON, ENGLAND) 2023; 22:249-260. [PMID: 35286708 PMCID: PMC9470778 DOI: 10.1007/s12311-022-01390-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/28/2022] [Indexed: 11/28/2022]
Abstract
The cerebellum is ontogenetically one of the first structures to develop in the central nervous system; nevertheless, it has been only recently reconsidered for its significant neurobiological, functional, and clinical relevance in humans. Thus, it has been a relatively under-studied compared to the cerebrum. Currently, non-invasive imaging modalities can barely reach the necessary resolution to unfold its entire, convoluted surface, while only histological analyses can reveal local information at the micrometer scale. Herein, we used the BigBrain dataset to generate area and point-wise thickness measurements for all layers of the cerebellar cortex and for each lobule in particular. We found that the overall surface area of the cerebellar granular layer (including Purkinje cells) was 1,732 cm2 and the molecular layer was 1,945 cm2. The average thickness of the granular layer is 0.88 mm (± 0.83) and that of the molecular layer is 0.32 mm (± 0.08). The cerebellum (both granular and molecular layers) is thicker at the depth of the sulci and thinner at the crowns of the gyri. Globally, the granular layer is thicker in the lateral-posterior-inferior region than the medial-superior regions. The characterization of individual layers in the cerebellum achieved herein represents a stepping-stone for investigations interrelating structural and functional connectivity with cerebellar architectonics using neuroimaging, which is a matter of considerable relevance in basic and clinical neuroscience. Furthermore, these data provide templates for the construction of cerebellar topographic maps and the precise localization of structural and functional alterations in diseases affecting the cerebellum.
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Affiliation(s)
- Junxiao Zheng
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Qinzhu Yang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Nikos Makris
- Center for Morphometric Analysis, Departments of Psychiatry, Neurology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Department of Anatomy and Neurobiology, Boston University Medical School, Boston, USA
| | - Kaibin Huang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Jianwen Liang
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Chenfei Ye
- Pengcheng Lab, Shenzhen, Guangdong, China
| | - Xiaxia Yu
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Mu Tian
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Ting Ma
- Pengcheng Lab, Shenzhen, Guangdong, China
- Department of Electronic and Information Engineering, Harbin Institute of Technology Campus, Shenzhen, Guangdong, China
| | - Tian Mou
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China
| | - Wenlong Guo
- Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ron Kikinis
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Yi Gao
- School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China.
- Pengcheng Lab, Shenzhen, Guangdong, China.
- Marshall Laboratory of Biomedical Engineering, Shenzhen, Guangdong, China.
- Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen, Guangdong, China.
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Buka SL, Lee YH, Goldstein JM. Infections During Pregnancy and Risks for Adult Psychosis: Findings from the New England Family Study. Curr Top Behav Neurosci 2023; 61:49-69. [PMID: 36376640 DOI: 10.1007/7854_2022_397] [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] [Indexed: 06/16/2023]
Abstract
For the past 40 years, our team has conducted a unique program of research investigating the prenatal risks for schizophrenia and related adult psychiatric disorders. The New England Family Study is a long-term prospective cohort study of over 16,000 individuals followed from the prenatal period for over 50 years. This chapter summarizes several major phases and findings from this work, highlighting recent results on maternal prenatal bacterial infections and brain imaging. Implications regarding the causes and potential prevention of major psychotic disorders are discussed.
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Affiliation(s)
- Stephen L Buka
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA.
| | - Younga Heather Lee
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA
| | - Jill M Goldstein
- Departments of Psychiatry and Medicine, Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Innovation Center on Sex Differences in Medicine, Massachusetts General Hospital, Boston, MA, USA
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6
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Henschke JU, Pakan JMP. Engaging distributed cortical and cerebellar networks through motor execution, observation, and imagery. Front Syst Neurosci 2023; 17:1165307. [PMID: 37114187 PMCID: PMC10126249 DOI: 10.3389/fnsys.2023.1165307] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
When we interact with the environment around us, we are sometimes active participants, making directed physical motor movements and other times only mentally engaging with our environment, taking in sensory information and internally planning our next move without directed physical movement. Traditionally, cortical motor regions and key subcortical structures such as the cerebellum have been tightly linked to motor initiation, coordination, and directed motor behavior. However, recent neuroimaging studies have noted the activation of the cerebellum and wider cortical networks specifically during various forms of motor processing, including the observations of actions and mental rehearsal of movements through motor imagery. This phenomenon of cognitive engagement of traditional motor networks raises the question of how these brain regions are involved in the initiation of movement without physical motor output. Here, we will review evidence for distributed brain network activation during motor execution, observation, and imagery in human neuroimaging studies as well as the potential for cerebellar involvement specifically in motor-related cognition. Converging evidence suggests that a common global brain network is involved in both movement execution and motor observation or imagery, with specific task-dependent shifts in these global activation patterns. We will further discuss underlying cross-species anatomical support for these cognitive motor-related functions as well as the role of cerebrocerebellar communication during action observation and motor imagery.
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Affiliation(s)
- Julia U. Henschke
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
| | - Janelle M. P. Pakan
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases, Magdeburg, Germany
- Center for Behavioral Brain Sciences, Universitätsplatz, Magdeburg, Germany
- *Correspondence: Janelle M. P. Pakan,
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Schmidt K, Kleine-Borgmann J, Scharmach K, Müssgens D, Elsenbruch S, Bingel U, Forkmann K. Greater interruption of visual processing and memory encoding by visceral than somatic pain in healthy volunteers - An fMRI study. Neuroimage 2022; 257:119333. [PMID: 35643267 DOI: 10.1016/j.neuroimage.2022.119333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 05/18/2022] [Accepted: 05/24/2022] [Indexed: 12/19/2022] Open
Abstract
Visceral pain is regarded as more salient than somatic pain. It has greater affective and emotional components, i.e., it elicits higher levels of pain-related fear and is perceived as more unpleasant than somatic pain. In this fMRI study, we examined the neural effects of painful visceral as compared to painful somatic stimulation on visual processing and memory encoding in a visual categorization and surprise recognition task in healthy volunteers. During the categorization task, participants received either rectal distensions or heat stimuli applied to the forearm, with stimuli being individually matched for unpleasantness. Behaviorally, visceral pain reduced memory encoding as compared to somatic pain (Kleine-Borgmann et al., 2021). Imaging analyses now revealed that visceral pain was associated with reduced activity (i.e., greater pain-related interruption) in neural areas typically involved in visual processing and memory encoding. These include the parahippocampal gyrus, fusiform gyrus, striatum, occipital cortex, insula, and the amygdala. Moreover, reduced engagement of the lateral occipital complex during visual categorization under visceral pain was associated with higher visceral pain-related fear. These findings obtained in healthy volunteers shed light on the neural circuitry underlying the interruptive effect of visceral pain and pave the way for future studies in patient samples.
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Affiliation(s)
- Katharina Schmidt
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany.
| | - Julian Kleine-Borgmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany
| | - Katrin Scharmach
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany
| | - Diana Müssgens
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany
| | - Sigrid Elsenbruch
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany; Department of Medical Psychology and Medical Sociology, Ruhr University Bochum, Germany
| | - Ulrike Bingel
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany
| | - Katarina Forkmann
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Hufelandstrasse 55, Essen 45147, Germany
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Hwang M, Roh YS, Talero J, Cohen BM, Baker JT, Brady RO, Öngür D, Shinn AK. Auditory hallucinations across the psychosis spectrum: Evidence of dysconnectivity involving cerebellar and temporal lobe regions. Neuroimage Clin 2021; 32:102893. [PMID: 34911197 PMCID: PMC8636859 DOI: 10.1016/j.nicl.2021.102893] [Citation(s) in RCA: 3] [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] [Received: 08/31/2021] [Revised: 10/29/2021] [Accepted: 11/19/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND Auditory hallucinations (AH) are typically associated with schizophrenia (SZ), but they are also prevalent in bipolar disorder (BD). Despite the large body of research on the neural correlates of AH in SZ, the pathophysiology underlying AH remains unclear. Few studies have examined the neural substrates associated with propensity for AH in BD. Investigating AH across the psychosis spectrum has the potential to inform about the neural signature associated with the trait of AH, irrespective of psychiatric diagnosis. METHODS We compared resting state functional magnetic resonance imaging data in psychosis patients with (n = 90 AH; 68 SZ, 22 BD) and without (n = 55 NAH; 16 SZ, 39 BD) lifetime AH. We performed region of interest (ROI)-to-ROI functional connectivity (FC) analysis using 91 cortical, 15 subcortical, and 26 cerebellar atlas-defined regions. The primary aim was to identify FC differences between patients with and without lifetime AH. We secondarily examined differences between AH and NAH within each diagnosis. RESULTS Compared to the NAH group, patients with AH showed higher FC between cerebellum and frontal (left precentral gyrus), temporal [right middle temporal gyrus (MTG), left inferior temporal gyrus (ITG), left temporal fusiform gyrus)], parietal (bilateral superior parietal lobules), and subcortical (left accumbens, left palldium) brain areas. AH also showed lower FC between temporal lobe regions (between right ITG and right MTG and bilateral superior temporal gyri) relative to NAH. CONCLUSIONS Our findings suggest that dysconnectivity involving the cerebellum and temporal lobe regions may be common neurofunctional elements associated with AH propensity across the psychosis spectrum. We also found dysconnectivity patterns that were unique to lifetime AH within SZ or bipolar psychosis, suggesting both common and distinct mechanisms underlying AH pathophysiology in these disorders.
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Affiliation(s)
- Melissa Hwang
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA
| | - Youkyung S Roh
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA
| | - Jessica Talero
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA
| | - Bruce M Cohen
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA; Program for Neuropsychiatric Research, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
| | - Justin T Baker
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
| | - Roscoe O Brady
- Beth Israel Deaconess Medical Center, 330 Brookline Ave, Boston, MA 02215, USA; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
| | - Dost Öngür
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA
| | - Ann K Shinn
- Schizophrenia and Bipolar Disorder Program, McLean Hospital, 115 Mill St, Belmont, MA 02478, USA; Department of Psychiatry, Harvard Medical School, 25 Shattuck St, Boston, MA 02115, USA.
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9
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Reda MH, Marusak HA, Ely TD, van Rooij SJH, Stenson AF, Stevens JS, France JM, Tottenham N, Jovanovic T. Community Violence Exposure is Associated with Hippocampus-Insula Resting State Functional Connectivity in Urban Youth. Neuroscience 2021; 468:149-157. [PMID: 34129912 PMCID: PMC8366937 DOI: 10.1016/j.neuroscience.2021.06.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022]
Abstract
Our previous work has linked childhood violence exposure in Black youth to functional changes in the hippocampus, a brain region sensitive to stress. However, different contexts of violence exposure (e.g., community, home, school) may have differential effects on circuitry. We investigated the unique effect of community violence in predicting resting-state functional connectivity (rsFC) in the hippocampus. Fifty-two (26F) violence-exposed Black youth ages 8-15 performed resting-state functional neuroimaging scans while looking at a fixation cross for seven minutes with eyes open. Seed-based analyses were conducted to examine the association between total violence exposure and rsFC of the hippocampus to the whole brain. Follow-up hierarchical regression analysis were performed to specifically investigate community violence. Violence exposure was associated with higher hippocampus rsFC with a core node of the Default Mode Network (i.e., posterior cingulate cortex) and lower hippocampal rsFC with a core node of the Salience Network (i.e., insula). Community violence uniquely associated with lower hippocampus-insula rsFC, after controlling for home and school violence, sex and age. Age-related decreases in hippocampus-insula rsFC were also present in youth with lower violence exposure, but not in youth with higher violence exposure. This is one of the first studies to investigate the unique impact of community violence, above home and school violence, on threat circuitry. Our data suggest functional alterations in the hippocampus in violence-exposed youth, and that violence in the community may be a more salient form of threat exposure compared to other forms of violence experienced by youth.
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Affiliation(s)
- M H Reda
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States.
| | - H A Marusak
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - T D Ely
- Department of Psychiatry and Behavioral Neurosciences, Emory University School of Medicine, Atlanta, GA, United States
| | - S J H van Rooij
- Department of Psychiatry and Behavioral Neurosciences, Emory University School of Medicine, Atlanta, GA, United States
| | - A F Stenson
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - J S Stevens
- Department of Psychiatry and Behavioral Neurosciences, Emory University School of Medicine, Atlanta, GA, United States
| | - J M France
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - N Tottenham
- Department of Psychology, Columbia University, New York, NY, United States
| | - T Jovanovic
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
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10
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Rushmore RJ, Bouix S, Kubicki M, Rathi Y, Rosene DL, Yeterian EH, Makris N. MRI-based Parcellation and Morphometry of the Individual Rhesus Monkey Brain: the macaque Harvard-Oxford Atlas (mHOA), a translational system referencing a standardized ontology. Brain Imaging Behav 2021; 15:1589-1621. [PMID: 32960419 PMCID: PMC8608281 DOI: 10.1007/s11682-020-00357-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Investigations of the rhesus monkey (Macaca mulatta) brain have shed light on the function and organization of the primate brain at a scale and resolution not yet possible in humans. A cornerstone of the linkage between non-human primate and human studies of the brain is magnetic resonance imaging, which allows for an association to be made between the detailed structural and physiological analysis of the non-human primate and that of the human brain. To further this end, we present a novel parcellation method and system for the rhesus monkey brain, referred to as the macaque Harvard-Oxford Atlas (mHOA), which is based on the human Harvard-Oxford Atlas (HOA) and grounded in an ontological and taxonomic framework. Consistent anatomical features were used to delimit and parcellate brain regions in the macaque, which were then categorized according to functional systems. This system of parcellation will be expanded with advances in technology and, like the HOA, will provide a framework upon which the results from other experimental studies (e.g., functional magnetic resonance imaging (fMRI), physiology, connectivity, graph theory) can be interpreted.
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Affiliation(s)
- R Jarrett Rushmore
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA
| | - Sylvain Bouix
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
| | - Marek Kubicki
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA
| | - Yogesh Rathi
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA
| | - Douglas L Rosene
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Edward H Yeterian
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA
- Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA
- Department of Psychology, Colby College, Waterville, ME, USA
| | - Nikos Makris
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.
- Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Boston, MA, USA.
- Center for Morphometric Analysis, Massachusetts General Hospital, 149 Thirteenth Street, Charlestown, MA, 02129, USA.
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11
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Delineating the Decussating Dentato-rubro-thalamic Tract and Its Connections in Humans Using Diffusion Spectrum Imaging Techniques. THE CEREBELLUM 2021; 21:101-115. [PMID: 34052968 DOI: 10.1007/s12311-021-01283-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/19/2021] [Indexed: 12/26/2022]
Abstract
The objective of this study was to identify the decussating dentato-rubro-thalamic tract (d-DRTT) and its afferent and efferent connections in healthy humans using diffusion spectrum imaging (DSI) techniques. In the present study, the trajectory and lateralization of the d-DRTT was explored using data from subjects in the Massachusetts General Hospital-Human Connectome Project adult diffusion dataset. The afferent and efferent networks that compose the cerebello-thalamo-cerebral pathways were also reconstructed. Correlation analysis was performed to identify interrelationships between subdivisions of the cerebello-dentato-rubro-thalamic and thalamo-cerebral connections. The d-DRTT was visualized bilaterally in 28 subjects. According to a normalized quantitative anisotropy and lateralization index evaluation, the left and right d-DRTT were relatively symmetric. Afferent regions were found mainly in the posterior cerebellum, especially the entire lobule VII (crus I, II and VIIb). Efferent fibers mainly are projected to the contralateral frontal cortex, including the motor and nonmotor regions. Correlations between cerebello-thalamic connections and thalamo-cerebral connections were positive, including the lobule VIIa (crus I and II) to the medial prefrontal cortex (MPFC) and the dorsolateral prefrontal cortex and lobules VI, VIIb, VIII, and IX, to the MPFC and motor and premotor areas. These results provide DSI-based tratographic evidence showing segregated and parallel cerebellar outputs to cerebral regions. The posterior cerebellum may play an important role in supporting and handling cognitive activities through d-DRTT. Future studies will allow for a more comprehensive understanding of cerebello-cerebral connections.
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12
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Language Cerebro-cerebellar Reorganization in Children After Surgery of Right Cerebellar Astrocytoma: a fMRI Study. THE CEREBELLUM 2020; 18:791-806. [PMID: 31111430 DOI: 10.1007/s12311-019-01039-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Language processing depends on an integrated circuit involving the left supratentorial language areas and the right posterior lateral cerebellar hemisphere (lobule VI, lobule VII, Crus I, and Crus II). Reorganization of the language system after lesions of the cerebral language areas includes also cerebellar relocation. This is the first study assessing functional language reorganization after lesions concerning primarily the cerebellum, using a fMRI paradigm of phonological covert word production task in six children operated for right cerebellar astrocytoma and in 15 typically developing children. We found right cerebellar and left frontal activations in healthy controls and high variability of reorganizational patterns in patients with early right cerebellar lesion. Also lesions not located in the areas typically involved in language tasks (Crus I and Crus II) can cause reorganization between the two hemispheres or hemispheric language reinforcement of the original lateralization. We discuss the role of several variables in determining the reorganizational pattern such as the site, extension, and timing of surgery. No variables revealed as predictors, suggesting that co-occurring influence of other biological and/or pathological factors are not yet demonstrated. Lesions in the postero-lateral cerebellum seem related to less efficient language performances, as an indicator of the system's functioning.
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13
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Jandeaux C, Kuchcinski G, Ternynck C, Riquet A, Leclerc X, Pruvo JP, Soto-Ares G. Biometry of the Cerebellar Vermis and Brain Stem in Children: MR Imaging Reference Data from Measurements in 718 Children. AJNR Am J Neuroradiol 2019; 40:1835-1841. [PMID: 31624120 DOI: 10.3174/ajnr.a6257] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 08/21/2019] [Indexed: 01/04/2023]
Abstract
BACKGROUND AND PURPOSE Objective and quantitative data to define cerebellar vermis and/or brain stem hypoplasia in children are lacking. Our aim was to provide MR imaging biometric references for the cerebellar vermis and brain stem from a large cohort of children with normal cerebellums. MATERIALS AND METHODS The MR imaging data were retrospectively selected from our hospital data base from January 1, 2014, to December 31, 2017. All MR imaging examinations of children between 1 day and 15 years of age, including midline sagittal sections, were included. Children with a clinical history or MR imaging abnormalities that may affect the posterior fossa were excluded. We manually measured four 2D parameters: vermian height, anterior-posterior diameter of the vermis, anterior-posterior diameter of the midbrain-pons junction, and anterior-posterior midpons diameter. The inter- and intraobserver agreement was evaluated. RESULTS Seven hundred eighteen children were included (372 boys and 346 girls), from 1 day to 15 years of age. Normal values (third to 97th percentiles) were provided for each parameter. The vermis parameters showed a rapid growth phase during the first year, a slower growth until the fifth year, and finally a near-plateau phase. The brain stem parameters showed more progressive growth. The intra- and interobserver agreement was excellent for all parameters. CONCLUSIONS We provide reference biometric data of the vermis and the brain stem using simple and reproducible measurements that are easy to use in daily practice. The relevance of these 2D measurements should be further validated in diseases associated with cerebellar abnormalities.
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Affiliation(s)
- C Jandeaux
- From the Departments of Neuroradiology (C.J., G.K., X.L., J.-P.P., G.S.-A.)
| | - G Kuchcinski
- From the Departments of Neuroradiology (C.J., G.K., X.L., J.-P.P., G.S.-A.)
| | | | - A Riquet
- Neuropediatrics (A.R.), Centre Hospitalier Universitaire Lille, Lille, France
| | - X Leclerc
- From the Departments of Neuroradiology (C.J., G.K., X.L., J.-P.P., G.S.-A.)
| | - J-P Pruvo
- From the Departments of Neuroradiology (C.J., G.K., X.L., J.-P.P., G.S.-A.)
| | - G Soto-Ares
- From the Departments of Neuroradiology (C.J., G.K., X.L., J.-P.P., G.S.-A.)
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Examining the identification of age-related atrophy between T1 and T1 + T2-FLAIR cortical thickness measurements. Sci Rep 2019; 9:11288. [PMID: 31375692 PMCID: PMC6677836 DOI: 10.1038/s41598-019-47294-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 07/10/2019] [Indexed: 11/10/2022] Open
Abstract
Cortical thickness is traditionally derived from T1-weighted MRI images. Recent studies have shown an improvement in segmentation with the combination of T1 + T2-FLAIR images. MRI data from 54 adults (mean: 71 years, 65–81 years, 48% females) that are part of an ongoing cohort study were analyzed to investigate whether T1 + T2-FLAIR cortical thickness measurements were superior to those derived from T1-weighted images in identifying age-related atrophy. T1-weighted and T2-FLAIR MRI images were processed through FreeSurfer v6.0. Data was extracted using the Desikan-Killiany (DKT) atlas. FreeSurfer’s GUI QDEC examined age-related atrophy. Nonparametric tests, effect sizes, and Pearson correlations examined differences between T1-only and T1 + T2-FLAIR cortical thickness data. These analyses demonstrated that T1 + T2-FLAIR processed images significantly improved the segmentation of gray matter (chi-square x2, p < 0.05) and demonstrated significantly thicker cortical thickness means (p < 0.05) with medium to large effect sizes. Significant regions of age-related cortical atrophy were identified within the T1 + T2-FLAIR data (FDR corrected, p < 0.05). This is in contrast to the T1-only data where no regions survived FDR correction. In summary, T1 + T2-FLAIR data were associated with significant improvement in cortical segmentation and the identification of age-related cortical atrophy. Future studies should consider employing this imaging strategy to obtain cortical thickness measurements sensitive to age-related changes.
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Johnson CP, Christensen GE, Fiedorowicz JG, Mani M, Shaffer JJ, Magnotta VA, Wemmie JA. Alterations of the cerebellum and basal ganglia in bipolar disorder mood states detected by quantitative T1ρ mapping. Bipolar Disord 2018; 20:381-390. [PMID: 29316081 PMCID: PMC5995598 DOI: 10.1111/bdi.12581] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 10/21/2017] [Indexed: 01/20/2023]
Abstract
OBJECTIVES Quantitative mapping of T1 relaxation in the rotating frame (T1ρ) is a magnetic resonance imaging technique sensitive to pH and other cellular and microstructural factors, and is a potentially valuable tool for identifying brain alterations in bipolar disorder. Recently, this technique identified differences in the cerebellum and cerebral white matter of euthymic patients vs healthy controls that were consistent with reduced pH in these regions, suggesting an underlying metabolic abnormality. The current study built upon this prior work to investigate brain T1ρ differences across euthymic, depressed, and manic mood states of bipolar disorder. METHODS Forty participants with bipolar I disorder and 29 healthy control participants matched for age and gender were enrolled. Participants with bipolar disorder were imaged in one or more mood states, yielding 27, 12, and 13 imaging sessions in euthymic, depressed, and manic mood states, respectively. Three-dimensional, whole-brain anatomical images and T1ρ maps were acquired for all participants, enabling voxel-wise evaluation of T1ρ differences between bipolar mood state and healthy control groups. RESULTS All three mood state groups had increased T1ρ relaxation times in the cerebellum compared to the healthy control group. Additionally, the depressed and manic groups had reduced T1ρ relaxation times in and around the basal ganglia compared to the control and euthymic groups. CONCLUSIONS The study implicated the cerebellum and basal ganglia in the pathophysiology of bipolar disorder and its mood states, the roles of which are relatively unexplored. These findings motivate further investigation of the underlying cause of the abnormalities, and the potential role of altered metabolic activity in these regions.
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Affiliation(s)
| | - Gary E. Christensen
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA,Department of Radiation Oncology, University of Iowa, Iowa City, IA
| | - Jess G. Fiedorowicz
- Department of Psychiatry, University of Iowa, Iowa City, IA,Department of Epidemiology, University of Iowa, Iowa City, IA,Department of Internal Medicine, University of Iowa, Iowa City, IA,Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA
| | - Merry Mani
- Department of Radiology, University of Iowa, Iowa City, IA
| | | | - Vincent A. Magnotta
- Department of Radiology, University of Iowa, Iowa City, IA,Department of Psychiatry, University of Iowa, Iowa City, IA,Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA,Iowa Neuroscience Institute, University of Iowa, Iowa City, IA,Department of Biomedical Engineering, University of Iowa, Iowa City, IA,Corresponding Authors: Vincent A. Magnotta, PhD, L311 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-335-5482, Fax: 319-353-6275, ; John A. Wemmie, MD, PhD, 1314 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-384-3174, Fax: 319-384-3176,
| | - John A. Wemmie
- Department of Psychiatry, University of Iowa, Iowa City, IA,Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA,Iowa Neuroscience Institute, University of Iowa, Iowa City, IA,Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA,Department of Neurosurgery, University of Iowa, Iowa City, IA,Veterans Affairs Medical Center, Iowa City, IA,Corresponding Authors: Vincent A. Magnotta, PhD, L311 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-335-5482, Fax: 319-353-6275, ; John A. Wemmie, MD, PhD, 1314 PBDB, 169 Newton Road, Iowa City, IA 52242, Tel: 319-384-3174, Fax: 319-384-3176,
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Gray-matter structural variability in the human cerebellum: Lobule-specific differences across sex and hemisphere. Neuroimage 2018; 170:164-173. [DOI: 10.1016/j.neuroimage.2017.04.066] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 04/26/2017] [Accepted: 04/27/2017] [Indexed: 12/19/2022] Open
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Riva D, Taddei M, Bulgheroni S. The neuropsychology of basal ganglia. Eur J Paediatr Neurol 2018; 22:321-326. [PMID: 29396173 DOI: 10.1016/j.ejpn.2018.01.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Accepted: 01/08/2018] [Indexed: 11/28/2022]
Abstract
Basal ganglia are subcortical structures specialized at very early age, functionally different according to the right or left side. They are part of complex distributed network composed by parallel segregated loops where specific information are processed and open loops where different information are integrated. These loops are connected to specialized cortical areas thus entering into distributed processing of higher order cognitive functions and behaviours. Lesion or malfunction of basal ganglia nuclei cause deficits in different neuropsychological functions and neurobehavioural diseases, such Autism Spectrum Disorder, Attention Deficit/Hyperactivity Disorder, Tourette syndrome, etc., for the reciprocal connections from and to the limbic system and the frontal system. Basal ganglia have a computational functioning, working by activation and inhibition sequences, coded in time and space and regulated by inhibitory and excitatory mechanisms, with such accuracy to guarantee an effective and elegant product.
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Affiliation(s)
- Daria Riva
- Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Via Celoria 11, 20133, Milan, Italy.
| | - Matilde Taddei
- Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Via Celoria 11, 20133, Milan, Italy
| | - Sara Bulgheroni
- Developmental Neurology Division, Fondazione IRCCS Istituto Neurologico C. Besta, Via Celoria 11, 20133, Milan, Italy
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Different subregional metabolism patterns in patients with cerebellar ataxia by 18F-fluorodeoxyglucose positron emission tomography. PLoS One 2017; 12:e0173275. [PMID: 28319124 PMCID: PMC5358749 DOI: 10.1371/journal.pone.0173275] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Accepted: 02/17/2017] [Indexed: 11/19/2022] Open
Abstract
We evaluated cerebellar subregional metabolic alterations in patients with cerebellar ataxia, a representative disease involving the spinocerebellum. We retrospectively analyzed 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) images in 44 patients with multiple system atrophy of the cerebellar type (MSA-C), 9 patients with spinocerebellar ataxia (SCA) type 2, and 14 patients with SCA type 6 and compared with 15 patients with crossed cerebellar diaschisis (CCD) and 89 normal controls. Cerebellar subregional metabolism was assessed using 13 cerebellar subregions (bilateral anterior lobes [ANT], superior/mid/inferior posterior lobes [SUPP/MIDP/INFP], dentate nucleus [DN], anterior vermis [ANTV], and superior/inferior posterior vermis [SUPV/INFV]) to determine FDG uptake ratios. MSA-C and SCA type 2 showed severely decreased metabolic ratios in all cerebellar subregions compared to normal controls (ANT, 0.58 ± 0.08 and 0.50 ± 0.06 vs. 0.82 ± 0.07, respectively, p < 0.001). SCA type 6 showed lower metabolic ratios in almost all cerebellar subregions (ANT, 0.57 ± 0.06, p < 0.001) except INFV. Anterior-posterior lobe ratio measurements revealed that SCA type 2 (Right, 0.81 ± 0.05 vs. 0.88 ± 0.04, p < 0.001; Left, 0.83 ± 0.05 vs. 0.88 ± 0.04, p = 0.003) and SCA type 6 (Right, 0.72 ± 0.05 vs. 0.88 ± 0.04, p < 0.001; Left, 0.72 ± 0.05 vs. 0.88 ± 0.04, p < 0.001) showed preferential hypometabolism in the anterior lobe compared to normal controls, which was not observed in CCD and MSA-C. Asymmetric indices were higher in CCD and MSA-C than in normal controls (p < 0.001), whereas such differences were not found in SCA types 2 and 6. In summary, quantitative analysis of cerebellar subregional metabolism ratios revealed preferential involvement of the anterior lobe, corresponding to the spinocerebellum, in patients with cerebellar ataxia, whereas patients with CCD and MSA-C exhibited more asymmetric hypometabolism in the posterior lobe.
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19
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Grinberg F, Maximov II, Farrher E, Neuner I, Amort L, Thönneßen H, Oberwelland E, Konrad K, Shah NJ. Diffusion kurtosis metrics as biomarkers of microstructural development: A comparative study of a group of children and a group of adults. Neuroimage 2017; 144:12-22. [DOI: 10.1016/j.neuroimage.2016.08.033] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2015] [Revised: 07/21/2016] [Accepted: 08/17/2016] [Indexed: 01/08/2023] Open
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20
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Sawyer KS, Oscar-Berman M, Ruiz SM, Gálvez DA, Makris N, Harris GJ, Valera EM. Associations Between Cerebellar Subregional Morphometry and Alcoholism History in Men and Women. Alcohol Clin Exp Res 2016; 40:1262-72. [PMID: 27130832 PMCID: PMC4889497 DOI: 10.1111/acer.13074] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 03/16/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND Alcoholism has been linked to deficits in cognitive, behavioral, and emotional functions, and the cerebellum is important for optimal functioning of these abilities. However, little is known about how individual differences such as gender and drinking history might influence regional cerebellar abnormalities. METHODS Volumetric analyses of the cerebellum and its subregions were performed in relation to the interaction of gender and measures of drinking history. Structural magnetic resonance imaging scans of 44 alcoholic individuals (23 men) and 39 nonalcoholic controls (18 men) were obtained. In addition to measuring total cerebellar gray and white matter volumes, we measured 64 individual cerebellar parcellation units, as well as functionally defined a priori regions of interest that have been shown to correspond to functions impaired in alcoholism. RESULTS Total cerebellar white matter volume was smaller in alcoholic relative to nonalcoholic participants. Moreover, volumes of parcellation units varied with drinking history, showing negative associations between years of heavy drinking and the anterior lobe, the vestibulocerebellar lobe, and the spinocerebellar subdivision. The negative association between anterior volume and years of heavy drinking was driven primarily by alcoholic men. Additionally, we observed larger white and gray matter volumes for alcoholic women than for alcoholic men. CONCLUSIONS The identification of drinking-related abnormalities in cerebellar subregions lays a foundation that can be utilized to inform how cerebro-cerebellar networks are perturbed in this pathological condition. These results also provide estimates of how gender and individual differences in drinking history can predict cerebellar volumes.
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Affiliation(s)
- Kayle S. Sawyer
- Ph.D. Program in Behavioral Neuroscience, Graduate Medical Sciences, Boston University School of Medicine, Boston, MA 02118, VA Boston Healthcare System, Boston, MA 02130
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
| | - Marlene Oscar-Berman
- Ph.D. Program in Behavioral Neuroscience, Graduate Medical Sciences, Boston University School of Medicine, Boston, MA 02118, VA Boston Healthcare System, Boston, MA 02130
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118
- Departments of Psychiatry and Neurology, Boston University School of Medicine, Boston, MA 02118
| | - Susan Mosher Ruiz
- VA Boston Healthcare System, Boston, MA 02130
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Department of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA 02118
| | - Daniel A. Gálvez
- College of Arts and Sciences, Boston University, Boston, MA 02215
| | - Nikos Makris
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114
| | - Gordon J. Harris
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Radiology Computer Aided Diagnostics Laboratory, Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
| | - Eve M. Valera
- Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA 02114
- Harvard Medical School Department of Radiology, Massachusetts General Hospital, Boston, MA 02114
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21
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Narayanan PL, Warton C, Rosella Boonzaier N, Molteno CD, Joseph J, Jacobson JL, Jacobson SW, Zöllei L, Meintjes EM. Improved segmentation of cerebellar structures in children. J Neurosci Methods 2015; 262:1-13. [PMID: 26743973 DOI: 10.1016/j.jneumeth.2015.12.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2015] [Revised: 12/09/2015] [Accepted: 12/17/2015] [Indexed: 11/27/2022]
Abstract
BACKGROUND Consistent localization of cerebellar cortex in a standard coordinate system is important for functional studies and detection of anatomical alterations in studies of morphometry. To date, no pediatric cerebellar atlas is available. NEW METHOD The probabilistic Cape Town Pediatric Cerebellar Atlas (CAPCA18) was constructed in the age-appropriate National Institute of Health Pediatric Database asymmetric template space using manual tracings of 16 cerebellar compartments in 18 healthy children (9-13 years) from Cape Town, South Africa. The individual atlases of the training subjects were also used to implement multi atlas label fusion using multi atlas majority voting (MAMV) and multi atlas generative model (MAGM) approaches. Segmentation accuracy in 14 test subjects was compared for each method to 'gold standard' manual tracings. RESULTS Spatial overlap between manual tracings and CAPCA18 automated segmentation was 73% or higher for all lobules in both hemispheres, except VIIb and X. Automated segmentation using MAGM yielded the best segmentation accuracy over all lobules (mean Dice Similarity Coefficient 0.76; range 0.55-0.91; mean Hausdorff distance 0.9 mm; range 0.8-2.7 mm). COMPARISON WITH EXISTING METHODS In all lobules, spatial overlap of CAPCA18 segmentations with manual tracings was similar or higher than those obtained with SUIT (spatially unbiased infra-tentorial template), providing additional evidence of the benefits of an age appropriate atlas. MAGM segmentation accuracy was comparable to values reported recently by Park et al. (Neuroimage 2014;95(1):217) in adults (across all lobules mean DSC=0.73, range 0.40-0.89). CONCLUSIONS CAPCA18 and the associated multi-subject atlases of the training subjects yield improved segmentation of cerebellar structures in children.
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Affiliation(s)
- Priya Lakshmi Narayanan
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; MRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa.
| | - Christopher Warton
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Natalie Rosella Boonzaier
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Christopher D Molteno
- Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Jesuchristopher Joseph
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; MRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
| | - Joseph L Jacobson
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - Sandra W Jacobson
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Psychiatry and Mental Health, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States
| | - Lilla Zöllei
- Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States
| | - Ernesta M Meintjes
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa; MRC/UCT Medical Imaging Research Unit, Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
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Grant JE, Odlaug BL, Chamberlain SR. Reduced cortical thickness in gambling disorder: a morphometric MRI study. Eur Arch Psychiatry Clin Neurosci 2015; 265:655-61. [PMID: 25814469 DOI: 10.1007/s00406-015-0592-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2014] [Accepted: 03/15/2015] [Indexed: 12/28/2022]
Abstract
Gambling disorder has recently been recognized as a prototype 'behavioral addiction' by virtue of its inclusion in the DSM-5 category of 'Substance-Related and Addictive Disorders.' Despite its newly acquired status and prevalence rate of 1-3 % globally, relatively little is known regarding the neurobiology of this disorder. The aim of this study was to explore cortical morphometry in untreated gambling disorder, for the first time. Subjects with gambling disorder (N = 16) free from current psychotropic medication or psychiatric comorbidities, and healthy controls (N = 17), were entered into the study and undertook magnetic resonance imaging (3T MRI). Cortical thickness was quantified using automated segmentation techniques (FreeSurfer), and group differences were identified using permutation cluster analysis, with stringent correction for multiple comparisons. Gambling disorder was associated with significant reductions (average 15.8-19.9 %) in cortical thickness, versus controls, predominantly in right frontal cortical regions. Pronounced right frontal morphometric brain abnormalities occur in gambling disorder, supporting neurobiological overlap with substance disorders and its recent reclassification as a behavioral addiction. Future work should explore the trait versus state nature of the findings and whether similarities exist with other not-yet-reclassified putative behavioral addictions.
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Affiliation(s)
- Jon E Grant
- Department of Psychiatry and Behavioral Neuroscience, Pritzker School of Medicine, University of Chicago, 5841 S. Maryland Avenue, MC 3077, Chicago, IL, 60637, USA.
| | - Brian L Odlaug
- Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Samuel R Chamberlain
- Department of Psychiatry, University of Cambridge, Cambridge, UK
- Cambridge and Peterborough NHS Foundation Trust (CPFT), Cambridge, UK
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23
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Makris N, Liang L, Biederman J, Valera EM, Brown AB, Petty C, Spencer TJ, Faraone SV, Seidman LJ. Toward Defining the Neural Substrates of ADHD: A Controlled Structural MRI Study in Medication-Naïve Adults. J Atten Disord 2015; 19:944-53. [PMID: 24189200 PMCID: PMC4009385 DOI: 10.1177/1087054713506041] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
OBJECTIVE We assessed the neural correlates of adult ADHD in treatment-naïve participants, an approach necessary for identifying neural substrates unconfounded by medication effects. METHOD The sample consisted of 24 medication-naïve adults with Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV) diagnosed ADHD and 24 healthy controls, comparable on age, sex, handedness, reading achievement, IQ, and psychiatric comorbidity. All participants were assessed with structured diagnostic interviews. Magnetic resonance imaging (MRI)-based regional voxel-based morphometry (r-VBM) was used to assess volumetric differences in a priori defined brain regions of interest. RESULTS VBM analysis revealed group differences in the hypothesized cortical and subcortical areas; however, only cerebellar volume reductions in ADHD retained significance (p < .05) after corrections for multiple comparisons. CONCLUSION These results support the notion that medication-naïve ADHD as expressed in adulthood, manifests subtle brain volume reductions from normal in the cerebellum, and possibly in other syndrome-congruent gray-matter structures. Larger samples are required to confirm these findings.
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Affiliation(s)
- Nikos Makris
- Massachusetts General Hospital, Boston, MA, USA Harvard Medical School, Boston, MA, USA
| | | | - Joseph Biederman
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA
| | - Eve M. Valera
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA
| | - Ariel B. Brown
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA
| | - Carter Petty
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA
| | - Thomas J. Spencer
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA
| | | | - Larry J. Seidman
- Massachusetts General Hospital, Boston, USA,Harvard Medical School, Boston, MA, USA,Beth Israel Deaconess Medical Center, Boston, MA, USA
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24
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Riedel MC, Ray KL, Dick AS, Sutherland MT, Hernandez Z, Fox PM, Eickhoff SB, Fox PT, Laird AR. Meta-analytic connectivity and behavioral parcellation of the human cerebellum. Neuroimage 2015; 117:327-42. [PMID: 25998956 PMCID: PMC4512917 DOI: 10.1016/j.neuroimage.2015.05.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Revised: 04/14/2015] [Accepted: 05/05/2015] [Indexed: 01/07/2023] Open
Abstract
The cerebellum historically has been thought to mediate motor and sensory signals between the body and cerebral cortex, yet cerebellar lesions are also associated with altered cognitive behavioral performance. Neuroimaging evidence indicates that the cerebellum contributes to a wide range of cognitive, perceptual, and motor functions. Here, we used the BrainMap database to investigate whole-brainco-activation patterns between cerebellar structures and regions of the cerebral cortex, as well as associations with behavioral tasks. Hierarchical clustering was performed to meta-analytically identify cerebellar structures with similar cortical co-activation, and independently, with similar correlations to specific behavioral tasks. Strong correspondences were observed in these separate but parallel analyses of meta-analytic connectivity and behavioral metadata. We recovered differential zones of cerebellar co-activation that are reflected across the literature. Furthermore, the behaviors and tasks associated with the different cerebellar zones provide insight into the specialized function of the cerebellum, relating to high-order cognition, emotion, perception, interoception, and action. Taken together, these task-basedmeta-analytic results implicate distinct zones of the cerebellum as critically involved in the monitoring and mediation of psychological responses to internal and external stimuli.
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Affiliation(s)
- Michael C Riedel
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Kimberly L Ray
- Imaging Research Center, University of California Davis, Sacramento, CA, USA
| | - Anthony S Dick
- Department of Psychology, Florida International University, Miami, FL, USA
| | | | - Zachary Hernandez
- Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
| | - P Mickle Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine University, Dusseldorf, Germany
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; South Texas Veterans Health Care System, San Antonio, TX, USA; State Key Laboratory for Brain and Cognitive Sciences, University of Hong Kong, Hong Kong, China
| | - Angela R Laird
- Department of Physics, Florida International University, Miami, FL, USA.
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25
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Sharda M, Midha R, Malik S, Mukerji S, Singh NC. Fronto-Temporal Connectivity is Preserved During Sung but Not Spoken Word Listening, Across the Autism Spectrum. Autism Res 2014; 8:174-86. [DOI: 10.1002/aur.1437] [Citation(s) in RCA: 54] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2014] [Accepted: 10/01/2014] [Indexed: 01/16/2023]
Affiliation(s)
- Megha Sharda
- Department of Cognitive Neuroscience and Neuroimaging; National Brain Research Centre; Gurgaon India
| | - Rashi Midha
- Department of Cognitive Neuroscience and Neuroimaging; National Brain Research Centre; Gurgaon India
| | - Supriya Malik
- Southend Klinik-Nurturing Connections; New Delhi India
- School of Psychology; University of Birmingham; Birmingham UK
| | | | - Nandini C. Singh
- Department of Cognitive Neuroscience and Neuroimaging; National Brain Research Centre; Gurgaon India
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26
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Pyatigorskaya N, Gallea C, Garcia-Lorenzo D, Vidailhet M, Lehericy S. A review of the use of magnetic resonance imaging in Parkinson's disease. Ther Adv Neurol Disord 2014; 7:206-20. [PMID: 25002908 DOI: 10.1177/1756285613511507] [Citation(s) in RCA: 93] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
To date, the most frequently used Parkinson's disease (PD) biomarkers are the brain imaging measures of dopaminergic dysfunction using positron emission tomography and single photon emission computed tomography. However, major advances have occurred in the development of magnetic resonance imaging (MRI) biomarkers for PD in the past decade. Although conventional structural imaging remains normal in PD, advanced techniques have shown changes in the substantia nigra and the cortex. The most well-developed MRI markers in PD include diffusion imaging and iron load using T2/T2* relaxometry techniques. Other quantitative biomarkers such as susceptibility-weighted imaging for iron load, magnetization transfer and ultra-high-field MRI have shown great potential. More sophisticated techniques such as tractography and resting state functional connectivity give access to anatomical and functional connectivity changes in the brain, respectively. Brain perfusion can be assessed using non-contrast-agent techniques such as arterial spin labelling and spectroscopy gives access to metabolites concentrations. However, to date these techniques are not yet fully validated and standardized quantitative metrics for PD are still lacking. This review presents an overview of new structural, perfusion, metabolic and anatomo-functional connectivity biomarkers, their use in PD and their potential applications to improve the clinical diagnosis of Parkinsonian syndromes and the quality of clinical trials.
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Affiliation(s)
- Nadya Pyatigorskaya
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Cécile Gallea
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Daniel Garcia-Lorenzo
- Institut du Cerveau et de la Moelle épinière, Centre de Neuroimagerie de Recherche, Paris, France
| | - Marie Vidailhet
- Université Pierre et Marie Curie (UPMC Univ Paris 6), Centre de Recherche de l'Institut du Cerveau et de la Moelle epiniere, Paris, France
| | - Stéphane Lehericy
- Service de neuroradiologie, Groupe Hospitalier Pitié-Salpêtrière, 47 boulevard de l'hopital, 75651 Paris cedex 13, France
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27
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Weier K, Fonov V, Lavoie K, Doyon J, Collins DL. Rapid automatic segmentation of the human cerebellum and its lobules (RASCAL)--implementation and application of the patch-based label-fusion technique with a template library to segment the human cerebellum. Hum Brain Mapp 2014; 35:5026-39. [PMID: 24777876 DOI: 10.1002/hbm.22529] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Revised: 03/27/2014] [Accepted: 04/02/2014] [Indexed: 12/20/2022] Open
Abstract
Reliable and fast segmentation of the human cerebellum with its complex architecture of lobes and lobules has been a challenge for the past decades. Emerging knowledge of the functional integration of the cerebellum in various sensori-motor and cognitive-behavioral circuits demands new automatic segmentation techniques, with accuracies similar to manual segmentations, but applicable to large subject numbers in a reasonable time frame. This article presents the development and application of a novel pipeline for rapid automatic segmentation of the human cerebellum and its lobules (RASCAL) combining patch-based label-fusion and a template library of manually labeled cerebella of 16 healthy controls from the International Consortium for Brain Mapping (ICBM) database. Leave-one-out experiments revealed a good agreement between manual and automatic segmentations (Dice kappa = 0.82). Intraclass correlation coefficients (ICC) were calculated to test reliability of segmented volumes and were highest (ICC > 0.9) for global measures (total and hemispherical grey and white matter) followed by larger lobules of the posterior lobe (ICC > 0.8). Further we applied the pipeline to all 152 young healthy controls of the ICBM database to look for hemispheric and gender differences. The results demonstrated larger native space volumes in men then women (mean (± SD) total cerebellar volume in women = 217 cm(3) (± 26), men = 259 cm(3) (± 29); P < 0.001). Significant gender-by-hemisphere interaction was only found in stereotaxic space volumes for white matter core (men > women) and anterior lobe volume (women > men). This new method shows great potential for the precise and efficient analysis of the cerebellum in large patient cohorts.
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Affiliation(s)
- Katrin Weier
- McConnell Brain Imaging Center, Montreal Neurological Hospital and Institute, McGill University, Montreal, Canada; Department Biomedical Engineering, McGill University, Montreal, Canada
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28
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Osório A, Soares JM, Prieto MF, Vasconcelos C, Fernandes C, Sousa S, Carracedo A, Gonçalves OF, Sampaio A. Cerebral and cerebellar MRI volumes in Williams syndrome. RESEARCH IN DEVELOPMENTAL DISABILITIES 2014; 35:922-928. [PMID: 24529862 DOI: 10.1016/j.ridd.2013.12.014] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 12/26/2013] [Accepted: 12/30/2013] [Indexed: 06/03/2023]
Abstract
Individuals with Williams syndrome (WS) present a set of cognitive, affective and motor symptoms that resemble those of patients with lesions to the cerebellum. Although there is some evidence for overall structural alterations in this brain region in WS, explorations on cerebellar white matter and cerebellar cortex volumes remain rather neglected. We aimed to compare absolute and relative cerebellar volumes, as well as patterns of white matter to cortex volumes in this brain region, between a group of individuals with WS and a group of healthy controls. T1-weighted magnetic resonance images were acquired in 17 individuals with WS and in 15 typically developing individuals. Our results showed that even though individuals from the clinical group had significantly smaller cerebrums (and cerebellums), cerebellar volumes relative to intracranial volumes were significantly enlarged. In addition, while gray matter was relatively spared and white matter disproportionately reduced in the cerebrum in WS, relative cerebellar cortex and white matter volumes were preserved. These findings support the hypothesis that volume alterations in the cerebellum are associated with the cognitive, affective and motor profiles in WS.
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Affiliation(s)
- Ana Osório
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal.
| | - José Miguel Soares
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Minho, Portugal; ICVS/3B's-PT Government Associated Laboratory, Guimarães, Braga, Portugal; Clinical Academic Center, Braga, Portugal
| | - Montse Fernández Prieto
- Biomedical Research Center Network for Rare Diseases (CIBERER), University of Santiago of Compostela, Santiago de Compostela, Spain; Genetic Molecular Unit, Galician Public Foundation of Genomic Medicine, Galicia, Spain
| | | | - Catarina Fernandes
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
| | - Sónia Sousa
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
| | - Angel Carracedo
- Biomedical Research Center Network for Rare Diseases (CIBERER), University of Santiago of Compostela, Santiago de Compostela, Spain; Genetic Molecular Unit, Galician Public Foundation of Genomic Medicine, Galicia, Spain
| | - Oscar F Gonçalves
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal; Department of Counseling and Educational Psychology, Bouvé College of Health Sciences, Northeastern University, Boston, USA
| | - Adriana Sampaio
- Neuropsychophysiology Lab, CIPsi, School of Psychology, University of Minho, Campus Gualtar, 4710-057 Braga, Portugal
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29
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Ranta ME, Chen M, Crocetti D, Prince JL, Subramaniam K, Fischl B, Kaufmann WE, Mostofsky SH. Automated MRI parcellation of the frontal lobe. Hum Brain Mapp 2013; 35:2009-26. [PMID: 23897577 DOI: 10.1002/hbm.22309] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2011] [Revised: 03/12/2013] [Accepted: 04/02/2013] [Indexed: 01/26/2023] Open
Abstract
Examination of associations between specific disorders and physical properties of functionally relevant frontal lobe sub-regions is a fundamental goal in neuropsychiatry. Here, we present and evaluate automated methods of frontal lobe parcellation with the programs FreeSurfer(FS) and TOADS-CRUISE(T-C), based on the manual method described in Ranta et al. [2009]: Psychiatry Res 172:147-154 in which sulcal-gyral landmarks were used to manually delimit functionally relevant regions within the frontal lobe: i.e., primary motor cortex, anterior cingulate, deep white matter, premotor cortex regions (supplementary motor complex, frontal eye field, and lateral premotor cortex) and prefrontal cortex (PFC) regions (medial PFC, dorsolateral PFC, inferior PFC, lateral orbitofrontal cortex [OFC] and medial OFC). Dice's coefficient, a measure of overlap, and percent volume difference were used to measure the reliability between manual and automated delineations for each frontal lobe region. For FS, mean Dice's coefficient for all regions was 0.75 and percent volume difference was 21.2%. For T-C the mean Dice's coefficient was 0.77 and the mean percent volume difference for all regions was 20.2%. These results, along with a high degree of agreement between the two automated methods (mean Dice's coefficient = 0.81, percent volume difference = 12.4%) and a proof-of-principle group difference analysis that highlights the consistency and sensitivity of the automated methods, indicate that the automated methods are valid techniques for parcellation of the frontal lobe into functionally relevant sub-regions. Thus, the methodology has the potential to increase efficiency, statistical power and reproducibility for population analyses of neuropsychiatric disorders with hypothesized frontal lobe contributions.
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Affiliation(s)
- Marin E Ranta
- Kennedy Krieger Institute, Laboratory for Neurocognitive Imaging and Research, Baltimore, Maryland
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30
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Constable RT, Scheinost D, Finn ES, Shen X, Hampson M, Winstanley FS, Spencer DD, Papademetris X. Potential use and challenges of functional connectivity mapping in intractable epilepsy. Front Neurol 2013; 4:39. [PMID: 23734143 PMCID: PMC3660665 DOI: 10.3389/fneur.2013.00039] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2013] [Accepted: 04/11/2013] [Indexed: 12/31/2022] Open
Abstract
This review focuses on the use of resting-state functional magnetic resonance imaging data to assess functional connectivity in the human brain and its application in intractable epilepsy. This approach has the potential to predict outcomes for a given surgical procedure based on the pre-surgical functional organization of the brain. Functional connectivity can also identify cortical regions that are organized differently in epilepsy patients either as a direct function of the disease or through indirect compensatory responses. Functional connectivity mapping may help identify epileptogenic tissue, whether this is a single focal location or a network of seizure-generating tissues. This review covers the basics of connectivity analysis and discusses particular issues associated with analyzing such data. These issues include how to define nodes, as well as differences between connectivity analyses of individual nodes, groups of nodes, and whole-brain assessment at the voxel level. The need for arbitrary thresholds in some connectivity analyses is discussed and a solution to this problem is reviewed. Overall, functional connectivity analysis is becoming an important tool for assessing functional brain organization in epilepsy.
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Affiliation(s)
- Robert Todd Constable
- Department of Diagnostic Radiology, Yale School of Medicine New Haven, CT, USA ; Department of Neurosurgery, Yale School of Medicine New Haven, CT, USA ; Department of Biomedical Engineering, Yale University New Haven, CT, USA ; Interdepartmental Neuroscience Program, Yale University New Haven, CT, USA
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31
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Volumetric parcellation methodology of the human hypothalamus in neuroimaging: normative data and sex differences. Neuroimage 2012; 69:1-10. [PMID: 23247186 DOI: 10.1016/j.neuroimage.2012.12.008] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2012] [Revised: 11/30/2012] [Accepted: 12/01/2012] [Indexed: 11/22/2022] Open
Abstract
There is increasing evidence regarding the importance of the hypothalamus for understanding sex differences in relation to neurological, psychiatric, endocrine and sleep disorders. Although different in histology, physiology, connections and function, multiple hypothalamic nuclei subserve non-voluntary functions and are nodal points for the purpose of maintaining homeostasis of the organism. Thus, given the critical importance of hypothalamic nuclei and their key multiple roles in regulating basic functions, it is important to develop the ability to conduct in vivo human studies of anatomic structure, volume, connectivity, and function of hypothalamic regions represented at the level of its nuclei. The goals of the present study were to develop a novel method of semi-automated volumetric parcellation for the human hypothalamus that could be used to investigate clinical conditions using MRI and to demonstrate its applicability. The proposed new method subdivides the hypothalamus into five parcels based on visible anatomic landmarks associated with specific nuclear groupings and was confirmed using two ex vivo hypothalami that were imaged in a 7 T (7 T) scanner and processed histologically. Imaging results were compared with histology from the same brain. Further, the method was applied to 44 healthy adults (26 men; 18 women, comparable on age, handedness, ethnicity, SES) to derive normative volumes and assess sex differences in hypothalamic regions using 1.5 T MRI. Men compared to women had a significantly larger total hypothalamus, relative to cerebrum size, similar for both hemispheres, a difference that was primarily driven by the tuberal region, with the sex effect size being largest in the superior tuberal region and, to a lesser extent, inferior tuberal region. Given the critical role of hypothalamic nuclei in multiple chronic diseases and the importance of sex differences, we argue that the use of the novel methodology presented here will allow for critical investigations of these disorders and further delineation of potential treatments, particularly sex-specific approaches to gene and drug discoveries that involve hypothalamic nuclei.
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Bogovic JA, Jedynak B, Rigg R, Du A, Landman BA, Prince JL, Ying SH. Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. Neuroimage 2012; 64:616-29. [PMID: 22975160 DOI: 10.1016/j.neuroimage.2012.08.075] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2012] [Revised: 08/23/2012] [Accepted: 08/27/2012] [Indexed: 12/15/2022] Open
Abstract
Volumetric measurements obtained from image parcellation have been instrumental in uncovering structure-function relationships. However, anatomical study of the cerebellum is a challenging task. Because of its complex structure, expert human raters have been necessary for reliable and accurate segmentation and parcellation. Such delineations are time-consuming and prohibitively expensive for large studies. Therefore, we present a three-part cerebellar parcellation system that utilizes multiple inexpert human raters that can efficiently and expediently produce results nearly on par with those of experts. This system includes a hierarchical delineation protocol, a rapid verification and evaluation process, and statistical fusion of the inexpert rater parcellations. The quality of the raters' and fused parcellations was established by examining their Dice similarity coefficient, region of interest (ROI) volumes, and the intraclass correlation coefficient of region volume. The intra-rater ICC was found to be 0.93 at the finest level of parcellation.
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Affiliation(s)
- John A Bogovic
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.
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Lehéricy S, Sharman MA, Dos Santos CL, Paquin R, Gallea C. Magnetic resonance imaging of the substantia nigra in Parkinson's disease. Mov Disord 2012; 27:822-30. [PMID: 22649063 DOI: 10.1002/mds.25015] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2012] [Revised: 03/15/2012] [Accepted: 03/26/2012] [Indexed: 12/30/2022] Open
Abstract
Until recently, conventional magnetic resonance imaging (MRI) was most often negative in Parkinson's disease or showed nonspecific findings. Recent developments in structural MRI, including relaxometry, magnetization transfer, and neuromelanin imaging, have demonstrated improved contrast and enabled more accurate visualization of deep brain nuclei, in particular, the substantia nigra. Meanwhile, diffusion imaging has provided useful biomarkers of substantia nigra degeneration, showing reduced anisotropy and anatomical connectivity with the striatum and thalamus. These advances in structural imaging are complemented by findings of magnetic resonance spectroscopy on brain metabolism and resting-state functional MRI on functional connectivity. This article presents an overview of these new structural, metabolic, and resting-state functional MRI techniques and their implications for Parkinson's disease. The techniques are reviewed in the context of their potential for better understanding the disease in terms of diagnosis and pathophysiology and as biomarkers of its progression.
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Affiliation(s)
- Stéphane Lehéricy
- Centre de NeuroImagerie de Recherche-CENIR, Groupe Hospitalier Pitie-Salpetriere, Paris, France.
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Brandauer B, Hermsdörfer J, Geißendörfer T, Schoch B, Gizewski ER, Timmann D. Impaired and preserved aspects of independent finger control in patients with cerebellar damage. J Neurophysiol 2012; 107:1080-93. [DOI: 10.1152/jn.00142.2011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
The influence of the cerebellum on independent finger control has rarely been investigated. We examined multidigit control in 22 patients with cerebellar degeneration, 20 patients with cerebellar stroke, and 21 patients with surgical lesions after cerebellar tumor removal. In the first task, either the index finger or the middle finger was actively lifted from an object during static holding. Both controls and cerebellar patients increased the forces of the nearby digits in synchrony with lift-off to maintain the total finger force. Patients used increased finger forces but showed no significant deficits in the pattern and timing of rearrangement of finger forces. In the second task, subjects had to press and release one finger against a force-sensitive keypad with the other fingers being inactive. All patient groups showed increased force production of the noninstructed (enslaved) fingers compared with controls. Lesion-symptom mapping in the focal patients revealed that lesions of the superior hand area were related to abnormal levels of enslaving. Increased finger forces in the finger-lifting task likely reflect an unspecific safety strategy. Increased effects of enslaving in the individuated key-press task, however, may be explained by a deterioration of cerebellar contribution to feedforward commands necessary to suppress activity in noninstructed fingers or by increased spread of the motor command intended for the instructed finger. Despite the large and diverse patient sample, surprisingly few abnormalities were observed. Both holding an object and finger typing are overlearned, automatized motor tasks, which may not or little depend on the integrity of the cerebellum.
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Affiliation(s)
- B. Brandauer
- Department of Neurology, University of Duisburg-Essen, Essen
- Department of Psychology, Neuropsychology, Ludwig-Maximilians-University Munich, Munich
| | - J. Hermsdörfer
- Department of Sport and Health Science, Technische Universität München, and
| | - T. Geißendörfer
- Department of Neurology, University of Duisburg-Essen, Essen
| | - B. Schoch
- Departments of 4Neurosurgery and
- Department of Neurosurgery, Evangelisches Stift St. Martin, Koblenz; and
| | - E. R. Gizewski
- Neuroradiology, University of Duisburg-Essen, Essen
- Department of Neuroradiology, Justus-Liebig University Giessen, Giessen, Germany
| | - D. Timmann
- Department of Neurology, University of Duisburg-Essen, Essen
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Landman BA, Asman AJ, Scoggins AG, Bogovic JA, Xing F, Prince JL. Robust statistical fusion of image labels. IEEE TRANSACTIONS ON MEDICAL IMAGING 2012; 31:512-22. [PMID: 22010145 PMCID: PMC3262958 DOI: 10.1109/tmi.2011.2172215] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Image labeling and parcellation (i.e., assigning structure to a collection of voxels) are critical tasks for the assessment of volumetric and morphometric features in medical imaging data. The process of image labeling is inherently error prone as images are corrupted by noise and artifacts. Even expert interpretations are subject to subjectivity and the precision of the individual raters. Hence, all labels must be considered imperfect with some degree of inherent variability. One may seek multiple independent assessments to both reduce this variability and quantify the degree of uncertainty. Existing techniques have exploited maximum a posteriori statistics to combine data from multiple raters and simultaneously estimate rater reliabilities. Although quite successful, wide-scale application has been hampered by unstable estimation with practical datasets, for example, with label sets with small or thin objects to be labeled or with partial or limited datasets. As well, these approaches have required each rater to generate a complete dataset, which is often impossible given both human foibles and the typical turnover rate of raters in a research or clinical environment. Herein, we propose a robust approach to improve estimation performance with small anatomical structures, allow for missing data, account for repeated label sets, and utilize training/catch trial data. With this approach, numerous raters can label small, overlapping portions of a large dataset, and rater heterogeneity can be robustly controlled while simultaneously estimating a single, reliable label set and characterizing uncertainty. The proposed approach enables many individuals to collaborate in the construction of large datasets for labeling tasks (e.g., human parallel processing) and reduces the otherwise detrimental impact of rater unavailability.
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Affiliation(s)
- Bennett A. Landman
- Department of Electrical Engineering, Vanderbilt University, Nashville, TN, 37235 USA (phone: 615-322-2338; fax: 615-343-5459 )
| | - Andrew J. Asman
- Department of Electrical Engineering, Vanderbilt University, Nashville, TN, 37235 USA ()
| | - Andrew G. Scoggins
- Department of Electrical Engineering, Vanderbilt University, Nashville, TN, 37235 USA ()
| | - John A. Bogovic
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218 USA ()
| | - Fangxu Xing
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218 USA ()
| | - Jerry L. Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, 21218 USA ()
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Frank B, Propson B, Göricke S, Jacobi H, Wild B, Timmann D. Humor and Laughter in Patients with Cerebellar Degeneration. THE CEREBELLUM 2011; 11:564-73. [DOI: 10.1007/s12311-011-0320-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/16/2022]
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37
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Regional Cerebellar Volumes Predict Functional Outcome in Children with Cerebellar Malformations. THE CEREBELLUM 2011; 11:531-42. [DOI: 10.1007/s12311-011-0312-z] [Citation(s) in RCA: 68] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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38
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Solodkin A, Peri E, Chen EE, Ben-Jacob E, Gomez CM. Loss of intrinsic organization of cerebellar networks in spinocerebellar ataxia type 1: correlates with disease severity and duration. CEREBELLUM (LONDON, ENGLAND) 2011; 10:218-32. [PMID: 20886327 PMCID: PMC3091958 DOI: 10.1007/s12311-010-0214-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The spinocerebellar ataxias (SCAs) are a genetically heterogeneous group of cerebellar degenerative disorders, characterized by progressive gait unsteadiness, hand incoordination, and dysarthria. The mutational mechanism in SCA1, a dominantly inherited form of SCA, consists of an expanded trinucleotide CAG repeat. In SCA1, there is loss of Purkinje cells, neuronal loss in dentate nucleus, olives, and pontine nuclei. In the present study, we sought to apply intrinsic functional connectivity analysis combined with diffusion tensor imaging to define the state of cerebellar connectivity in SCA1. Our results on the intrinsic functional connectivity in lateral cerebellum and thalamus showed progressive organizational changes in SCA1 noted as a progressive increase in the absolute value of the correlation coefficients. In the lateral cerebellum, the anatomical organization of functional clusters seen as parasagittal bands in controls is lost, changing to a patchy appearance in SCA1. Lastly, only fractional anisotropy in the superior peduncle and changes in functional organization in thalamus showed a linear dependence to duration and severity of disease. The present pilot work represents an initial effort describing connectivity biomarkers of disease progression in SCA1. The functional changes detected with intrinsic functional analysis and diffusion tensor imaging suggest that disease progression can be analyzed as a disconnection syndrome.
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Affiliation(s)
- Ana Solodkin
- Department of Neurology, MC 2030, The University of Chicago Hospitals, Chicago, IL, USA.
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39
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Seidman LJ, Biederman J, Liang L, Valera EM, Monuteaux MC, Brown A, Kaiser J, Spencer T, Faraone SV, Makris N. Gray matter alterations in adults with attention-deficit/hyperactivity disorder identified by voxel based morphometry. Biol Psychiatry 2011; 69:857-66. [PMID: 21183160 PMCID: PMC3940267 DOI: 10.1016/j.biopsych.2010.09.053] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2010] [Revised: 08/10/2010] [Accepted: 09/29/2010] [Indexed: 11/30/2022]
Abstract
BACKGROUND Gray and white matter volume deficits have been reported in many structural magnetic resonance imaging (MRI) studies of children with attention-deficit/hyperactivity disorder (ADHD); however, there is a paucity of structural MRI studies of adults with ADHD. This study used voxel based morphometry and applied an a priori region of interest approach based on our previous work, as well as from well-developed neuroanatomical theories of ADHD. METHODS Seventy-four adults with DSM-IV ADHD and 54 healthy control subjects comparable on age, sex, race, handedness, IQ, reading achievement, frequency of learning disabilities, and whole brain volume had an MRI on a 1.5T Siemens scanner. A priori region of interest hypotheses focused on reduced volumes in ADHD in dorsolateral prefrontal cortex, anterior cingulate cortex, caudate, putamen, inferior parietal lobule, and cerebellum. Analyses were carried out by FSL-VBM 1.1. RESULTS Relative to control subjects, ADHD adults had significantly smaller gray matter volumes in parts of six of these regions at p ≤ .01, whereas parts of the dorsolateral prefrontal cortex and inferior parietal lobule were significantly larger in ADHD at this threshold. However, a number of other regions were smaller and larger in ADHD (especially fronto-orbital cortex) at this threshold. Only the caudate remained significantly smaller at the family-wise error rate. CONCLUSIONS Adults with ADHD have subtle volume reductions in the caudate and possibly other brain regions involved in attention and executive control supporting frontostriatal models of ADHD. Modest group brain volume differences are discussed in the context of the nature of the samples studied and voxel based morphometry methodology.
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Affiliation(s)
- Larry J Seidman
- Department of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, Massachusetts 02114, USA.
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40
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Hao X, Xu D, Bansal R, Liu J, Peterson BS. An improved representation of regional boundaries on parcellated morphological surfaces. Comput Med Imaging Graph 2011; 35:206-19. [PMID: 21144708 PMCID: PMC3059377 DOI: 10.1016/j.compmedimag.2010.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2008] [Revised: 09/17/2010] [Accepted: 11/08/2010] [Indexed: 11/23/2022]
Abstract
Establishing the correspondences of brain anatomy with function is important for understanding neuroimaging data. Regional delineations on morphological surfaces define anatomical landmarks and help to visualize and interpret both functional data and morphological measures mapped onto the cortical surface. We present an efficient algorithm that accurately delineates the morphological surface of the cerebral cortex in real time during generation of the surface using information from parcellated 3D data. With this accurate region delineation, we then develop methods for boundary-preserved simplification and smoothing, as well as procedures for the automated correction of small, misclassified regions to improve the quality of the delineated surface. We demonstrate that our delineation algorithm, together with a new method for double-snapshot visualization of cortical regions, can be used to establish a clear correspondence between brain anatomy and mapped quantities, such as morphological measures, across groups of subjects.
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Affiliation(s)
- Xuejun Hao
- MRI Unit, Psychiatry Department, Columbia University & the New York State Psychiatric Institute, USA.
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41
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Gerwig M, Guberina H, Eßer AC, Siebler M, Schoch B, Frings M, Kolb FP, Aurich V, Beck A, Forsting M, Timmann D. Evaluation of multiple-session delay eyeblink conditioning comparing patients with focal cerebellar lesions and cerebellar degeneration. Behav Brain Res 2010; 212:143-51. [DOI: 10.1016/j.bbr.2010.04.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2010] [Revised: 03/31/2010] [Accepted: 04/03/2010] [Indexed: 10/19/2022]
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42
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Abstracts. Neuroradiol J 2010. [DOI: 10.1177/19714009100230s111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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43
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The role of the cerebellum in cognition and emotion: personal reflections since 1982 on the dysmetria of thought hypothesis, and its historical evolution from theory to therapy. Neuropsychol Rev 2010; 20:236-60. [PMID: 20821056 DOI: 10.1007/s11065-010-9142-x] [Citation(s) in RCA: 408] [Impact Index Per Article: 29.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2010] [Accepted: 08/20/2010] [Indexed: 01/19/2023]
Abstract
The cognitive neuroscience of the cerebellum is now an established multidisciplinary field of investigation. This essay traces the historical evolution of this line of inquiry from an emerging field to its current status, with personal reflections over almost three decades on this journey of discovery. It pays tribute to early investigators who recognized the wider role of the cerebellum beyond motor control, traces the origins of new terms and concepts including the dysmetria of thought theory, the universal cerebellar transform, and the cerebellar cognitive affective syndrome, and places these developments within the broader context of the scientific efforts of a growing community of cerebellar cognitive neuroscientists. This account considers the converging evidence from theoretical, anatomical, physiological, clinical, and functional neuroimaging approaches that have resulted in the transition from recognizing the cerebellar incorporation into the distributed neural circuits subserving cognition and emotion, to a hopeful new era of treatment of neurocognitive and neuropsychiatric manifestations of cerebellar diseases, and to cerebellar-based interventions for psychiatric disorders.
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44
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Fan L, Tang Y, Sun B, Gong G, Chen ZJ, Lin X, Yu T, Li Z, Evans AC, Liu S. Sexual dimorphism and asymmetry in human cerebellum: An MRI-based morphometric study. Brain Res 2010; 1353:60-73. [DOI: 10.1016/j.brainres.2010.07.031] [Citation(s) in RCA: 52] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2010] [Revised: 07/12/2010] [Accepted: 07/13/2010] [Indexed: 11/28/2022]
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45
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Juranek J, Dennis M, Cirino PT, El-Messidi L, Fletcher JM. The cerebellum in children with spina bifida and Chiari II malformation: Quantitative volumetrics by region. CEREBELLUM (LONDON, ENGLAND) 2010; 9:240-8. [PMID: 20143197 PMCID: PMC3046026 DOI: 10.1007/s12311-010-0157-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Few volumetric MRI studies of the entire cerebellum have been published; even less quantitative information is available in patients with hindbrain malformations, including the Chiari II malformation which is ubiquitous in patients with spina bifida meningomyelocele (SBM). In the present study, regional volumetric analyses of the cerebellum were conducted in children with SBM/Chiari II and typically developing (TD) children. Total cerebellar volume was significantly reduced in the SBM group relative to the TD group. After correcting for total cerebellum volume, and relative to the TD group, the posterior lobe was significantly reduced in SBM, the corpus medullare was not different, and the anterior lobe was significantly enlarged. Children with thoracic level lesions had smaller cerebellar volumes relative to those with lumbar/sacral lesions, who had smaller volumes compared to TD children. The reduction in cerebellar volume in the group with SBM represents not a change in linear scaling but rather a reconfiguration involving anterior lobe enlargement and posterior lobe reduction.
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Affiliation(s)
- Jenifer Juranek
- Department of Pediatrics, Children's Learning Institute, University of Texas Health Science Center at Houston, Houston, 77030, USA.
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46
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Thambisetty M, Wan J, Carass A, An Y, Prince JL, Resnick SM. Longitudinal changes in cortical thickness associated with normal aging. Neuroimage 2010; 52:1215-23. [PMID: 20441796 DOI: 10.1016/j.neuroimage.2010.04.258] [Citation(s) in RCA: 234] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2009] [Revised: 04/23/2010] [Accepted: 04/28/2010] [Indexed: 11/19/2022] Open
Abstract
Imaging studies of anatomic changes in regional gray matter volumes and cortical thickness have documented age effects in many brain regions, but the majority of such studies have been cross-sectional investigations of individuals studied at a single point in time. In this study, using serial imaging assessments of participants in the Baltimore Longitudinal Study of Aging (BLSA), we investigate longitudinal changes in cortical thickness during aging in a cohort of 66 older adults (mean age 68.78; sd. 6.6; range 60-84 at baseline) without dementia. We used the Cortical Reconstruction Using Implicit Surface Evolution CRUISE suite of algorithms to automatically generate a reconstruction of the cortical surface and identified twenty gyral based regions of interest per hemisphere. Using mixed effects regression, we investigated longitudinal changes in these regions over a mean follow-up interval of 8 years. The main finding in this study is that age-related decline in cortical thickness is widespread, but shows an anterior-posterior gradient with frontal and parietal regions, in general, exhibiting greater rates of decline than temporal and occipital. There were fewer regions in the right hemisphere showing statistically significant age-associated longitudinal decreases in mean cortical thickness. Males showed greater rates of decline in the middle frontal, inferior parietal, parahippocampal, postcentral, and superior temporal gyri in the left hemisphere, right precuneus and bilaterally in the superior parietal and cingulate regions. Significant nonlinear changes over time were observed in the postcentral, precentral, and orbitofrontal gyri on the left and inferior parietal, cingulate, and orbitofrontal gyri on the right.
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Affiliation(s)
- Madhav Thambisetty
- Laboratory of Personality and Cognition, National Institute on Aging, Baltimore, MD 21224-2816, USA.
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47
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Hodge SM, Makris N, Kennedy DN, Caviness VS, Howard J, McGrath L, Steele S, Frazier JA, Tager-Flusberg H, Harris GJ. Cerebellum, language, and cognition in autism and specific language impairment. J Autism Dev Disord 2010; 40:300-16. [PMID: 19924522 PMCID: PMC3771698 DOI: 10.1007/s10803-009-0872-7] [Citation(s) in RCA: 94] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
We performed cerebellum segmentation and parcellation on magnetic resonance images from right-handed boys, aged 6-13 years, including 22 boys with autism [16 with language impairment (ALI)], 9 boys with Specific Language Impairment (SLI), and 11 normal controls. Language-impaired groups had reversed asymmetry relative to unimpaired groups in posterior-lateral cerebellar lobule VIIIA (right side larger in unimpaired groups, left side larger in ALI and SLI), contralateral to previous findings in inferior frontal cortex language areas. Lobule VIIA Crus I was smaller in SLI than in ALI. Vermis volume, particularly anterior I-V, was decreased in language-impaired groups. Language performance test scores correlated with lobule VIIIA asymmetry and with anterior vermis volume. These findings suggest ALI and SLI subjects show abnormalities in neurodevelopment of fronto-corticocerebellar circuits that manage motor control and the processing of language, cognition, working memory, and attention.
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Affiliation(s)
- Steven M. Hodge
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA
- Radiology Computer Aided Diagnostics Laboratory, Massachusetts General Hospital, Boston, MA
| | - Nikos Makris
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA
| | - David N. Kennedy
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA
| | - Verne S. Caviness
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA
| | - James Howard
- Center for Morphometric Analysis, Massachusetts General Hospital, Boston, MA
| | - Lauren McGrath
- Boston University School of Medicine, Lab of Cognitive Neuroscience, Boston, MA
| | - Shelly Steele
- Boston University School of Medicine, Lab of Cognitive Neuroscience, Boston, MA
| | - Jean A. Frazier
- Department of Psychiatry, Harvard Medical School, Boston, MA
- Center for Child and Adolescent Development, Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA
| | | | - Gordon J. Harris
- Radiology Computer Aided Diagnostics Laboratory, Massachusetts General Hospital, Boston, MA
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Brandauer B, Timmann D, Häusler A, Hermsdörfer J. Influences of Load Characteristics on Impaired Control of Grip Forces in Patients With Cerebellar Damage. J Neurophysiol 2010; 103:698-708. [DOI: 10.1152/jn.00337.2009] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Various studies showed a clear impairment of cerebellar patients to modulate grip force in anticipation of the loads resulting from movements with a grasped object. This failure corroborated the theory of internal feedforward models in the cerebellum. Cerebellar damage also impairs the coordination of multiple-joint movements and this has been related to deficient prediction and compensation of movement-induced torques. To study the effects of disturbed torque control on feedforward grip-force control, two self-generated load conditions with different demands on torque control—one with movement-induced and the other with isometrically generated load changes—were directly compared in patients with cerebellar degeneration. Furthermore the cerebellum is thought to be more involved in grip-force adjustment to self-generated loads than to externally generated loads. Consequently, an additional condition with externally generated loads was introduced to further test this hypothesis. Analysis of 23 patients with degenerative cerebellar damage revealed clear impairments in predictive feedforward mechanisms in the control of both self-generated load types. Besides feedforward control, the cerebellar damage also affected more reactive responses when the externally generated load destabilized the grip, although this impairment may vary with the type of load as suggested by control experiments. The present findings provide further support that the cerebellum plays a major role in predictive control mechanisms. However, this impact of the cerebellum does not strongly depend on the nature of the load and the specific internal forward model. Contributions to reactive (grip force) control are not negligible, but seem to be dependent on the physical characteristics of an externally generated load.
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Affiliation(s)
- B. Brandauer
- Department of Neurology, University of Duisburg-Essen, Essen; and
- Clinical Neuropsychology Research Group, Hospital München-Bogenhausen, Munich, Germany
| | - D. Timmann
- Department of Neurology, University of Duisburg-Essen, Essen; and
| | - A. Häusler
- Clinical Neuropsychology Research Group, Hospital München-Bogenhausen, Munich, Germany
| | - J. Hermsdörfer
- Clinical Neuropsychology Research Group, Hospital München-Bogenhausen, Munich, Germany
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49
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Balsters JH, Cussans E, Diedrichsen J, Phillips KA, Preuss TM, Rilling JK, Ramnani N. Evolution of the cerebellar cortex: the selective expansion of prefrontal-projecting cerebellar lobules. Neuroimage 2010; 49:2045-52. [PMID: 19857577 PMCID: PMC6436533 DOI: 10.1016/j.neuroimage.2009.10.045] [Citation(s) in RCA: 145] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2009] [Revised: 10/13/2009] [Accepted: 10/14/2009] [Indexed: 11/26/2022] Open
Abstract
It has been suggested that interconnected brain areas evolve in tandem because evolutionary pressures act on complete functional systems rather than on individual brain areas. The cerebellar cortex has reciprocal connections with both the prefrontal cortex and motor cortex, forming independent loops with each. Specifically, in capuchin monkeys cerebellar cortical lobules Crus I and Crus II connect with prefrontal cortex, whereas the primary motor cortex connects with cerebellar lobules V, VI, VIIb, and VIIIa. Comparisons of extant primate species suggest that the prefrontal cortex has expanded more than cortical motor areas in human evolution. Given the enlargement of the prefrontal cortex relative to motor cortex in humans, our hypothesis would predict corresponding volumetric increases in the parts of the cerebellum connected to the prefrontal cortex, relative to cerebellar lobules connected to the motor cortex. We tested the hypothesis by comparing the volumes of cerebellar lobules in structural MRI scans in capuchins, chimpanzees and humans. The fractions of cerebellar volume occupied by Crus I and Crus II were significantly larger in humans compared to chimpanzees and capuchins. Our results therefore support the hypothesis that in the cortico-cerebellar system, functionally related structures evolve in concert with each other. The evolutionary expansion of these prefrontal-projecting cerebellar territories might contribute to the evolution of the higher cognitive functions of humans.
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Affiliation(s)
- J H Balsters
- Department of Psychology, Royal Holloway, University of London, Egham, Surrey TW20 0EX, UK
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50
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Abstract
Does the cerebellum influence nonmotor behavior? Recent anatomical studies demonstrate that the output of the cerebellum targets multiple nonmotor areas in the prefrontal and posterior parietal cortex, as well as the cortical motor areas. The projections to different cortical areas originate from distinct output channels within the cerebellar nuclei. The cerebral cortical area that is the main target of each output channel is a major source of input to the channel. Thus, a closed-loop circuit represents the major architectural unit of cerebro-cerebellar interactions. The outputs of these loops provide the cerebellum with the anatomical substrate to influence the control of movement and cognition. Neuroimaging and neuropsychological data supply compelling support for this view. The range of tasks associated with cerebellar activation is remarkable and includes tasks designed to assess attention, executive control, language, working memory, learning, pain, emotion, and addiction. These data, along with the revelations about cerebro-cerebellar circuitry, provide a new framework for exploring the contribution of the cerebellum to diverse aspects of behavior.
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Affiliation(s)
- Peter L Strick
- Veterans Affairs Medical Center, Pittsburgh, Pennsylvania 15261, USA.
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