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Human brain mapping 27건

  1. [해외논문]   Cover Image  

    Vanasse, Thomas J. , Fox, P. Mickle , Barron, Daniel S. , Robertson, Michaela , Eickhoff, Simon B. , Lancaster, Jack L. , Fox, Peter T.
    Human brain mapping v.39 no.8 ,pp. i - i , 2018 , 1065-9471 ,

    초록

    COVER ILLUSTRATION The cover‐art references the research article, ‘BrainMap VBM: An environment for structural meta‐analysis.’ (Top) The word‐cloud corresponds to the current data volume (per diagnosis) of voxel‐based morphometry experiments in the newly expanded database, BrainMap VBM. (Middle) To analyze the database en masse , coordinates from >2,000 experiments were grouped together and smoothed to model atrophy. (Bottom) Independent Component Analysis (ICA) was applied to extract networks of structural covariance related to disease.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  2. [해외논문]   Editorial board ‐ TOC  


    Human brain mapping v.39 no.8 ,pp. 3105 - 3108 , 2018 , 1065-9471 ,

    초록

    COVER ILLUSTRATION The cover‐art references the research article, ‘BrainMap VBM: An environment for structural meta‐analysis.’ (Top) The word‐cloud corresponds to the current data volume (per diagnosis) of voxel‐based morphometry experiments in the newly expanded database, BrainMap VBM. (Middle) To analyze the database en masse , coordinates from >2,000 experiments were grouped together and smoothed to model atrophy. (Bottom) Independent Component Analysis (ICA) was applied to extract networks of structural covariance related to disease.

    원문보기

    원문보기
    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  3. [해외논문]   Separation of trait and state in stuttering  

    Connally, Emily L (Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom) , Ward, David (School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom) , Pliatsikas, Christos (School of Psychology and Clinical Language Sciences, University of Reading, Reading, United Kingdom) , Finnegan, Sarah (Nuffield Department of Clinical Neurosciences, , University of Oxford, Oxford, United Kingdom) , Jenkinson, Mark (Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom) , Boyles, Rowan (Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom) , Watkins, Kate E (Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, United Kingdom)
    Human brain mapping v.39 no.8 ,pp. 3109 - 3126 , 2018 , 1065-9471 ,

    초록

    Abstract Stuttering is a disorder in which the smooth flow of speech is interrupted. People who stutter show structural and functional abnormalities in the speech and motor system. It is unclear whether functional differences reflect general traits of the disorder or are specifically related to the dysfluent speech state . We used a hierarchical approach to separate state and trait effects within stuttering. We collected sparse‐sampled functional MRI during two overt speech tasks (sentence reading and picture description) in 17 people who stutter and 16 fluent controls. Separate analyses identified indicators of: (1) general traits of people who stutter; (2) frequency of dysfluent speech states in subgroups of people who stutter; and (3) the differences between fluent and dysfluent states in people who stutter. We found that reduced activation of left auditory cortex, inferior frontal cortex bilaterally, and medial cerebellum were general traits that distinguished fluent speech in people who stutter from that of controls. The stuttering subgroup with higher frequency of dysfluent states during scanning ( n = 9) had reduced activation in the right subcortical grey matter, left temporo‐occipital cortex, the cingulate cortex, and medial parieto‐occipital cortex relative to the subgroup who were more fluent ( n = 8). Finally, during dysfluent states relative to fluent ones, there was greater activation of inferior frontal and premotor cortex extending into the frontal operculum, bilaterally. The above differences were seen across both tasks. Subcortical state effects differed according to the task. Overall, our data emphasise the independence of trait and state effects in stuttering.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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    Fig. 1 이미지
  4. [해외논문]   Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder  

    Rashid, Barnaly (Harvard Medical School, Harvard University, Boston, Massachusetts) , Blanken, Laura M. E. (The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands) , Muetzel, Ryan L. (The Generation R Study Group, Erasmus MC, Rotterdam, The Netherlands) , Miller, Robyn (The Mind Research Network & LBERI, Albuquerque, New Mexico, 87106) , Damaraju, Eswar (The Mind Research Network & LBERI, Albuquerque, New Mexico, 87106) , Arbabshirani, Mohammad R. (Geisinger Health System, Danville, Pennsylvania, 17822) , Erhardt, Erik B. (Department of Mathematics and Statistics, University of New Mexico, Albuquerque, New Mexico, 87131) , Verhulst, Frank C. (Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC‐Sophia, Rotterdam, The Netherlands) , van der Lugt, Aad (Department of Radiology, Erasmus MC, Rotterdam, The Netherlands) , Jaddoe, Vincent W. V. , Tiemeier, Henning , White, Tonya , Calhoun, Vince
    Human brain mapping v.39 no.8 ,pp. 3127 - 3142 , 2018 , 1065-9471 ,

    초록

    Abstract Recent advances in neuroimaging techniques have provided significant insights into developmental trajectories of human brain function. Characterizations of typical neurodevelopment provide a framework for understanding altered neurodevelopment, including differences in brain function related to developmental disorders and psychopathology. Historically, most functional connectivity studies of typical and atypical development operate under the assumption that connectivity remains static over time. We hypothesized that relaxing stationarity assumptions would reveal novel features of both typical brain development related to children on the autism spectrum. We employed a “chronnectomic” (recurring, time‐varying patterns of connectivity) approach to evaluate transient states of connectivity using resting‐state functional MRI in a population‐based sample of 774 6‐ to 10‐year‐old children. Dynamic connectivity was evaluated using a sliding‐window approach, and revealed four transient states. Internetwork connectivity increased with age in modularized dynamic states, illustrating an important pattern of connectivity in the developing brain. Furthermore, we demonstrated that higher levels of autistic traits and ASD diagnosis were associated with longer dwell times in a globally disconnected state. These results provide a roadmap to the chronnectomic organization of the developing brain and suggest that characteristics of functional brain connectivity are related to children on the autism spectrum.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  5. [해외논문]   A more randomly organized grey matter network is associated with deteriorating language and global cognition in individuals with subjective cognitive decline  

    Verfaillie, Sander C. J. (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Slot, Rosalinde E. R. (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Dicks, Ellen (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Prins, Niels D. (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Overbeek, Jozefien M. (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Teunissen, Charlotte E. (Department of Clinical Chemistry, VU University Medical Center Amsterdam, The Netherlands) , Scheltens, Philip (Department of Neurology and Alzheimer Center, VU University Medical Center, Amsterdam, The Netherlands) , Barkhof, Frederik (Department o) , van der Flier, Wiesje M. , Tijms, Betty M.
    Human brain mapping v.39 no.8 ,pp. 3143 - 3151 , 2018 , 1065-9471 ,

    초록

    Abstract Objectives Grey matter network disruptions in Alzheimer's disease (AD) are associated with worse cognitive impairment cross‐sectionally. Our aim was to investigate whether indications of a more random network organization are associated with longitudinal decline in specific cognitive functions in individuals with subjective cognitive decline (SCD). Experimental design : We included 231 individuals with SCD who had annually repeated neuropsychological assessment (3 ± 1 years; n = 646 neuropsychological investigations) available from the Amsterdam Dementia Cohort (54% male, age: 63 ± 9, MMSE: 28 ± 2). Single‐subject grey matter networks were extracted from baseline 3D‐T1 MRI scans and we computed basic network (size, degree, connectivity density) and higher‐order (path length, clustering, betweenness centrality, normalized path length [lambda] and normalized clustering [gamma]) parameters at whole brain and/or regional levels. We tested associations of network parameters with baseline and annual cognition (memory, attention, executive functioning, language composite scores, and global cognition [all domains with MMSE]) using linear mixed models, adjusted for age, sex, education, scanner and total gray matter volume. Principal observations : Lower network size was associated with steeper decline in language (β ± SE = 0.12 ± 0.05, p p Conclusions A more randomly organized grey matter network was associated with a steeper decline of cognitive functioning, possibly indicating the start of cognitive impairment.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  6. [해외논문]   Relations between structural and EEG‐based graph metrics in healthy controls and schizophrenia patients  

    Gomez‐ (Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain) , Pilar, Javier (Imaging Processing Laboratory, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain) , de Luis‐ (Psychiatry Department, School of Medicine, University of Valladolid, Av. Ramón y Cajal, 7, Valladolid, 47005, Spain) , Garcí (Psychiatry Service, Clinical Hospital of Valladolid, Ramón y Cajal, 3, Valladolid, 47003, Spain) , a, Rodrigo (Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain) , Lubeiro, Alba (Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spain) , de la Red, Henar (Biomedical Engineering Group, University of Valladolid, Paseo de Belén, 15, 47011 Valladolid, Spai) , Poza, Jesú , s , Nú , ñ , ez, Pablo , Hornero, Roberto , Molina, Vicente
    Human brain mapping v.39 no.8 ,pp. 3152 - 3165 , 2018 , 1065-9471 ,

    초록

    Abstract Our aim was to assess structural and functional networks in schizophrenia patients; and the possible prediction of the latter based on the former. The possible dependence of functional network properties on structural alterations has not been analyzed in schizophrenia. We applied averaged path‐length (PL), clustering coefficient, and density (D) measurements to data from diffusion magnetic resonance and electroencephalography in 39 schizophrenia patients and 79 controls. Functional data were collected for the global and theta frequency bands during an odd‐ball task, prior to stimulus delivery and at the corresponding processing window. Connectivity matrices were constructed from tractography and registered cortical segmentations (structural) and phase‐locking values (functional). Both groups showed a significant electroencephalographic task‐related modulation (change between prestimulus and response windows) in the global and theta bands. Patients showed larger structural PL and prestimulus density in the global and theta bands, and lower PL task‐related modulation in the theta band. Structural network values predicted prestimulus global band values in controls and global band task‐related modulation in patients. Abnormal functional values found in patients (prestimulus density in the global and theta bands and task‐related modulation in the theta band) were not predicted by structural data in this group. Structural and functional network abnormalities respectively predicted cognitive performance and positive symptoms in patients. Taken together, the alterations in the structural and functional theta networks in the patients and the lack of significant relations between these alterations, suggest that these types of network abnormalities exist in different groups of schizophrenia patients.

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    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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    Fig. 1 이미지
  7. [해외논문]   Severity of olfactory deficits is reflected in functional brain networks—An fMRI study  

    Reichert, Johanna L. (Institute of Psychology, University of Graz, Graz, Austria) , Postma, Elbrich M. (Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands) , Smeets, Paul A. M. (Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands) , Boek, Wilbert M. (ENT Department, Hospital Gelderse Vallei, Ede, The Netherlands) , de Graaf, Kees (Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands) , Schö (Institute of Psychology, University of Graz, Graz, Austria) , pf, Veronika (Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands) , Boesveldt, Sanne
    Human brain mapping v.39 no.8 ,pp. 3166 - 3177 , 2018 , 1065-9471 ,

    초록

    Abstract Even though deficits in olfactory function affect a considerable part of the population, the neuronal basis of olfactory deficits remains scarcely investigated. To achieve a better understanding of how smell loss affects neural activation patterns and functional networks, we set out to investigate patients with olfactory dysfunction using functional magnetic resonance imaging (fMRI) and olfactory stimulation. We used patients’ scores on a standardized olfactory test as continuous measure of olfactory function. 48 patients (mean olfactory threshold discrimination identification (TDI) score = 16.33, SD = 6.4, range 6 ‐ 28.5) were investigated. Overall, patients showed piriform cortex activation during odor stimulation compared to pure sniffing. Group independent component analysis indicated that the recruitment of three networks during odor stimulation was correlated with olfactory function: a sensory processing network (including regions such as insula, thalamus and piriform cortex), a cerebellar network and an occipital network. Interestingly, recruitment of these networks during pure sniffing was related to olfactory function as well. Our results support previous findings that sniffing alone can activate olfactory regions. Extending this, we found that the severity of olfactory deficits is related to the extent to which neural networks are recruited both during olfactory stimulation and pure sniffing. This indicates that olfactory deficits are not only reflected in changes in specific olfactory areas but also in the recruitment of occipital and cerebellar networks. These findings pave the way for future investigations on whether characteristics of these networks might be of use for the prediction of disease prognosis or of treatment success.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

    Fig. 1 이미지
  8. [해외논문]   Brain PET substrate of impulse control disorders in Parkinson's disease: A metabolic connectivity study  

    Verger, Antoine (Department of Nuclear Medicine, Assistance Publique‐Hôpitaux de Marseille, Aix‐Marseille Université, Timone University Hospital, Provence‐Alpes‐Côte d'Azur, France) , Klesse, Elsa (Department of Neurology and Movement Disorders, Assistance Publique‐Hôpitaux de Marseille, Aix‐Marseille Université, Timone University Hospital, Provence‐Alpes‐Côte d'Azur, France) , Chawki, Mohammad B. (Department of Nuclear Medicine & Nancyclotep Imaging platform, CHRU Nancy, Nancy, F‐54000, France) , Witjas, Tatiana (Department of Neurology and Movement Disorders, Assistance Publique‐Hôpitaux de Marseille, Aix‐Marseille Université, Timone University Hospital, Provence‐Alpes‐Côte d'Azur, France) , Azulay, Jean‐ (Department of Neurology and Movement Disorders, Assistance Publique&#x) , Philippe , Eusebio, Alexandre , Guedj, Eric
    Human brain mapping v.39 no.8 ,pp. 3178 - 3186 , 2018 , 1065-9471 ,

    초록

    Abstract Impulse control disorders (ICDs) have received increased attention in Parkinson's disease (PD) because of potentially dramatic consequences. Their physiopathology, however, remains incompletely understood. An overstimulation of the mesocorticolimbic system has been reported, while a larger network has recently been suggested. The aim of this study is to specifically describe the metabolic PET substrate and related connectivity changes in PD patients with ICDs. Eighteen PD patients with ICDs and 18 PD patients without ICDs were evaluated using cerebral 18F‐fluorodeoxyglucose positron emission tomography. SPM‐T maps comparisons were performed between groups and metabolic connectivity was evaluated by interregional correlation analysis (IRCA; p k > 130) and by graph theory ( p

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

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  9. [해외논문]   Peak visual gamma frequency is modified across the healthy menstrual cycle  

    Sumner, Rachael L. (School of Psychology, The University of Auckland, Auckland, 1142, New Zealand) , McMillan, Rebecca L. (School of Pharmacy, The University of Auckland, Auckland, 1142, New Zealand) , Shaw, Alexander D. (CUBRIC, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK) , Singh, Krish D. (CUBRIC, School of Psychology, Cardiff University, Cardiff, CF24 4HQ, UK) , Sundram, Fred (Department of Psychological Medicine, The University of Auckland, Auckland, 1142, New Zealand) , Muthukumaraswamy, Suresh D. (School of Pharmacy, The University of Auckland, Auckland, 1142, New Zealand)
    Human brain mapping v.39 no.8 ,pp. 3187 - 3202 , 2018 , 1065-9471 ,

    초록

    Abstract Fluctuations in gonadal hormones over the course of the menstrual cycle are known to cause functional brain changes and are thought to modulate changes in the balance of cortical excitation and inhibition. Animal research has shown this occurs primarily via the major metabolite of progesterone, allopregnanolone, and its action as a positive allosteric modulator of the GABA A receptor. Our study used EEG to record gamma oscillations induced in the visual cortex using stationary and moving gratings. Recordings took place during twenty females’ mid‐luteal phase when progesterone and estradiol are highest, and early follicular phase when progesterone and estradiol are lowest. Significantly higher (∼5 Hz) gamma frequency was recorded during the luteal compared to the follicular phase for both stimuli types. Using dynamic causal modeling, these changes were linked to stronger self‐inhibition of superficial pyramidal cells in the luteal compared to the follicular phase. In addition, the connection from inhibitory interneurons to deep pyramidal cells was found to be stronger in the follicular compared to the luteal phase. These findings show that complex functional changes in synaptic microcircuitry occur across the menstrual cycle and that menstrual cycle phase should be taken into consideration when including female participants in research into gamma‐band oscillations.

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    무료다운로드 유료다운로드

    회원님의 원문열람 권한에 따라 열람이 불가능 할 수 있으며 권한이 없는 경우 해당 사이트의 정책에 따라 회원가입 및 유료구매가 필요할 수 있습니다.이동하는 사이트에서의 모든 정보이용은 NDSL과 무관합니다.

    NDSL에서는 해당 원문을 복사서비스하고 있습니다. 아래의 원문복사신청 또는 장바구니담기를 통하여 원문복사서비스 이용이 가능합니다.

    이미지

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  10. [해외논문]   An fMRI study of finger tapping in children and adults  

    Turesky, Ted K. (Center for the Study of Learning, Georgetown University Medical Center, Washington, Washington D.C. ) , Olulade, Olumide A. (Center for the Study of Learning, Georgetown University Medical Center, Washington, Washington D.C. ) , Luetje, Megan M. (Center for the Study of Learning, Georgetown University Medical Center, Washington, Washington D.C. ) , Eden, Guinevere F. (Center for the Study of Learning, Georgetown University Medical Center, Washington, Washington D.C.)
    Human brain mapping v.39 no.8 ,pp. 3203 - 3215 , 2018 , 1065-9471 ,

    초록

    Abstract Functional brain imaging studies have characterized the neural bases of voluntary movement for finger tapping in adults, but equivalent information for children is lacking. When contrasted to adults, one would expect children to have relatively greater activation, reflecting compensation for an underdeveloped motor system combined with less experience in the execution of voluntary movement. To test this hypothesis, we acquired functional magnetic resonance imaging (fMRI) data on 17 healthy right‐handed children (7.48 ± 0.66 years) and 15 adults (24.9 ± 2.9 years) while they performed an irregularly paced finger‐tapping task in response to a visual cue (left‐ and right‐hand examined separately). Whole‐brain within‐group analyses revealed that finger tapping in either age group and for either hand activated contralateral SM1, SMA, ipsilateral anterior cerebellum, and occipital cortices. We used an ANOVA factorial design to test for main effects of Age Group (children vs adults), Hand (left vs. right), and their interactions. For main effects of Age Group, children showed relatively greater activity in left SM1 (extending into bilateral SMA), and, surprisingly, adults exhibited relatively greater activity in right pre‐SMA/SMA (extending into left pre‐SMA/SMA), right lateral globus pallidus, left putamen, and right anterior cerebellum. The interaction of Age Group × Hand revealed that while both groups activated right SM1 during left finger tapping and exhibited signal decreases (i.e., below fixation baseline) during right finger tapping, both these responses were attenuated in children relative to adults. These data provide an important foundation by which to study children with motor disorders.

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