Serveur d'exploration sur Pittsburgh

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.

Identifieur interne : 000013 ( PubMed/Checkpoint ); précédent : 000012; suivant : 000014

Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.

Auteurs : Yi Lao [États-Unis] ; Yalin Wang [États-Unis] ; Jie Shi [États-Unis] ; Rafael Ceschin [États-Unis] ; Marvin D. Nelson [États-Unis] ; Ashok Panigrahy [États-Unis] ; Natasha Leporé [États-Unis]

Source :

RBID : pubmed:25366970

Descripteurs français

English descriptors

Abstract

Finding the neuroanatomical correlates of prematurity is vital to understanding which structures are affected, and to designing efficient prevention and treatment strategies. Converging results reveal that thalamic abnormalities are important indicators of prematurity. However, little is known about the localization of the abnormalities within the subnuclei of the thalamus, or on the association of altered thalamic development with other deep gray matter disturbances. Here, we aim to investigate the effect of prematurity on the thalamus and the putamen in the neonatal brain, and further investigate the associated abnormalities between these two structures. Using brain structural magnetic resonance imaging, we perform a novel combined shape and pose analysis of the thalamus and putamen between 17 preterm (41.12 ± 5.08 weeks) and 19 term-born (45.51 ± 5.40 weeks) neonates at term equivalent age. We also perform a set of correlation analyses between the thalamus and the putamen, based on the surface and pose results. We locate significant alterations on specific surface regions such as the anterior and ventral anterior (VA) thalamic nuclei, and significant relative pose changes of the left thalamus and the right putamen. In addition, we detect significant association between the thalamus and the putamen for both surface and pose parameters. The regions that are significantly associated include the VA, and the anterior and inferior putamen. We detect statistically significant surface deformations and pose changes on the thalamus and putamen, and for the first time, demonstrate the feasibility of using relative pose parameters as indicators for prematurity in neonates. Our methods show that regional abnormalities of the thalamus are associated with alterations of the putamen, possibly due to disturbed development of shared pre-frontal connectivity. More specifically, the significantly correlated regions in these two structures point to frontal-subcortical pathways including the dorsolateral prefrontal-subcortical circuit, the lateral orbitofrontal-subcortical circuit, the motor circuit, and the oculomotor circuit. These findings reveal new insight into potential subcortical structural covariates for poor neurodevelopmental outcomes in the preterm population.

DOI: 10.1007/s00429-014-0921-7
PubMed: 25366970


Affiliations:


Links toward previous steps (curation, corpus...)


Links to Exploration step

pubmed:25366970

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.</title>
<author>
<name sortKey="Lao, Yi" sort="Lao, Yi" uniqKey="Lao Y" first="Yi" last="Lao">Yi Lao</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wang, Yalin" sort="Wang, Yalin" uniqKey="Wang Y" first="Yalin" last="Wang">Yalin Wang</name>
<affiliation wicri:level="1">
<nlm:affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281</wicri:regionArea>
<wicri:noRegion>85281</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Shi, Jie" sort="Shi, Jie" uniqKey="Shi J" first="Jie" last="Shi">Jie Shi</name>
<affiliation wicri:level="1">
<nlm:affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281</wicri:regionArea>
<wicri:noRegion>85281</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Ceschin, Rafael" sort="Ceschin, Rafael" uniqKey="Ceschin R" first="Rafael" last="Ceschin">Rafael Ceschin</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA</wicri:regionArea>
<placeName>
<region type="state">Pennsylvanie</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Nelson, Marvin D" sort="Nelson, Marvin D" uniqKey="Nelson M" first="Marvin D" last="Nelson">Marvin D. Nelson</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Panigrahy, Ashok" sort="Panigrahy, Ashok" uniqKey="Panigrahy A" first="Ashok" last="Panigrahy">Ashok Panigrahy</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Lepore, Natasha" sort="Lepore, Natasha" uniqKey="Lepore N" first="Natasha" last="Leporé">Natasha Leporé</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA. nlepore@chla.usc.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2016">2016</date>
<idno type="RBID">pubmed:25366970</idno>
<idno type="pmid">25366970</idno>
<idno type="doi">10.1007/s00429-014-0921-7</idno>
<idno type="wicri:Area/PubMed/Corpus">000050</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000050</idno>
<idno type="wicri:Area/PubMed/Curation">000050</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000050</idno>
<idno type="wicri:Area/PubMed/Checkpoint">000050</idno>
<idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000050</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.</title>
<author>
<name sortKey="Lao, Yi" sort="Lao, Yi" uniqKey="Lao Y" first="Yi" last="Lao">Yi Lao</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Wang, Yalin" sort="Wang, Yalin" uniqKey="Wang Y" first="Yalin" last="Wang">Yalin Wang</name>
<affiliation wicri:level="1">
<nlm:affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281</wicri:regionArea>
<wicri:noRegion>85281</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Shi, Jie" sort="Shi, Jie" uniqKey="Shi J" first="Jie" last="Shi">Jie Shi</name>
<affiliation wicri:level="1">
<nlm:affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281</wicri:regionArea>
<wicri:noRegion>85281</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Ceschin, Rafael" sort="Ceschin, Rafael" uniqKey="Ceschin R" first="Rafael" last="Ceschin">Rafael Ceschin</name>
<affiliation wicri:level="2">
<nlm:affiliation>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA</wicri:regionArea>
<placeName>
<region type="state">Pennsylvanie</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Nelson, Marvin D" sort="Nelson, Marvin D" uniqKey="Nelson M" first="Marvin D" last="Nelson">Marvin D. Nelson</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Panigrahy, Ashok" sort="Panigrahy, Ashok" uniqKey="Panigrahy A" first="Ashok" last="Panigrahy">Ashok Panigrahy</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Lepore, Natasha" sort="Lepore, Natasha" uniqKey="Lepore N" first="Natasha" last="Leporé">Natasha Leporé</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA. nlepore@chla.usc.edu.</nlm:affiliation>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027</wicri:regionArea>
<wicri:noRegion>90027</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Brain structure & function</title>
<idno type="eISSN">1863-2661</idno>
<imprint>
<date when="2016" type="published">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Age Factors</term>
<term>Brain Mapping (methods)</term>
<term>Case-Control Studies</term>
<term>Child Development</term>
<term>Feasibility Studies</term>
<term>Gestational Age</term>
<term>Humans</term>
<term>Infant, Newborn</term>
<term>Infant, Premature</term>
<term>Magnetic Resonance Imaging</term>
<term>Predictive Value of Tests</term>
<term>Prospective Studies</term>
<term>Putamen (growth & development)</term>
<term>Putamen (pathology)</term>
<term>Putamen (physiopathology)</term>
<term>Signal Processing, Computer-Assisted</term>
<term>Thalamus (growth & development)</term>
<term>Thalamus (pathology)</term>
<term>Thalamus (physiopathology)</term>
<term>Visual Pathways (pathology)</term>
<term>Visual Pathways (physiopathology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Cartographie cérébrale ()</term>
<term>Développement de l'enfant</term>
<term>Facteurs de l'âge</term>
<term>Humains</term>
<term>Imagerie par résonance magnétique</term>
<term>Nouveau-né</term>
<term>Prématuré</term>
<term>Putamen (anatomopathologie)</term>
<term>Putamen (croissance et développement)</term>
<term>Putamen (physiopathologie)</term>
<term>Thalamus (anatomopathologie)</term>
<term>Thalamus (croissance et développement)</term>
<term>Thalamus (physiopathologie)</term>
<term>Traitement du signal assisté par ordinateur</term>
<term>Valeur prédictive des tests</term>
<term>Voies optiques (anatomopathologie)</term>
<term>Voies optiques (physiopathologie)</term>
<term>Âge gestationnel</term>
<term>Études cas-témoins</term>
<term>Études de faisabilité</term>
<term>Études prospectives</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr">
<term>Putamen</term>
<term>Thalamus</term>
<term>Voies optiques</term>
</keywords>
<keywords scheme="MESH" qualifier="croissance et développement" xml:lang="fr">
<term>Putamen</term>
<term>Thalamus</term>
</keywords>
<keywords scheme="MESH" qualifier="growth & development" xml:lang="en">
<term>Putamen</term>
<term>Thalamus</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Brain Mapping</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en">
<term>Putamen</term>
<term>Thalamus</term>
<term>Visual Pathways</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathologie" xml:lang="fr">
<term>Putamen</term>
<term>Thalamus</term>
<term>Voies optiques</term>
</keywords>
<keywords scheme="MESH" qualifier="physiopathology" xml:lang="en">
<term>Putamen</term>
<term>Thalamus</term>
<term>Visual Pathways</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Age Factors</term>
<term>Case-Control Studies</term>
<term>Child Development</term>
<term>Feasibility Studies</term>
<term>Gestational Age</term>
<term>Humans</term>
<term>Infant, Newborn</term>
<term>Infant, Premature</term>
<term>Magnetic Resonance Imaging</term>
<term>Predictive Value of Tests</term>
<term>Prospective Studies</term>
<term>Signal Processing, Computer-Assisted</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Cartographie cérébrale</term>
<term>Développement de l'enfant</term>
<term>Facteurs de l'âge</term>
<term>Humains</term>
<term>Imagerie par résonance magnétique</term>
<term>Nouveau-né</term>
<term>Prématuré</term>
<term>Traitement du signal assisté par ordinateur</term>
<term>Valeur prédictive des tests</term>
<term>Âge gestationnel</term>
<term>Études cas-témoins</term>
<term>Études de faisabilité</term>
<term>Études prospectives</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Finding the neuroanatomical correlates of prematurity is vital to understanding which structures are affected, and to designing efficient prevention and treatment strategies. Converging results reveal that thalamic abnormalities are important indicators of prematurity. However, little is known about the localization of the abnormalities within the subnuclei of the thalamus, or on the association of altered thalamic development with other deep gray matter disturbances. Here, we aim to investigate the effect of prematurity on the thalamus and the putamen in the neonatal brain, and further investigate the associated abnormalities between these two structures. Using brain structural magnetic resonance imaging, we perform a novel combined shape and pose analysis of the thalamus and putamen between 17 preterm (41.12 ± 5.08 weeks) and 19 term-born (45.51 ± 5.40 weeks) neonates at term equivalent age. We also perform a set of correlation analyses between the thalamus and the putamen, based on the surface and pose results. We locate significant alterations on specific surface regions such as the anterior and ventral anterior (VA) thalamic nuclei, and significant relative pose changes of the left thalamus and the right putamen. In addition, we detect significant association between the thalamus and the putamen for both surface and pose parameters. The regions that are significantly associated include the VA, and the anterior and inferior putamen. We detect statistically significant surface deformations and pose changes on the thalamus and putamen, and for the first time, demonstrate the feasibility of using relative pose parameters as indicators for prematurity in neonates. Our methods show that regional abnormalities of the thalamus are associated with alterations of the putamen, possibly due to disturbed development of shared pre-frontal connectivity. More specifically, the significantly correlated regions in these two structures point to frontal-subcortical pathways including the dorsolateral prefrontal-subcortical circuit, the lateral orbitofrontal-subcortical circuit, the motor circuit, and the oculomotor circuit. These findings reveal new insight into potential subcortical structural covariates for poor neurodevelopmental outcomes in the preterm population.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">25366970</PMID>
<DateCreated>
<Year>2016</Year>
<Month>01</Month>
<Day>21</Day>
</DateCreated>
<DateCompleted>
<Year>2016</Year>
<Month>10</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised>
<Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1863-2661</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>221</Volume>
<Issue>1</Issue>
<PubDate>
<Year>2016</Year>
<Month>Jan</Month>
</PubDate>
</JournalIssue>
<Title>Brain structure & function</Title>
<ISOAbbreviation>Brain Struct Funct</ISOAbbreviation>
</Journal>
<ArticleTitle>Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.</ArticleTitle>
<Pagination>
<MedlinePgn>487-506</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1007/s00429-014-0921-7</ELocationID>
<Abstract>
<AbstractText>Finding the neuroanatomical correlates of prematurity is vital to understanding which structures are affected, and to designing efficient prevention and treatment strategies. Converging results reveal that thalamic abnormalities are important indicators of prematurity. However, little is known about the localization of the abnormalities within the subnuclei of the thalamus, or on the association of altered thalamic development with other deep gray matter disturbances. Here, we aim to investigate the effect of prematurity on the thalamus and the putamen in the neonatal brain, and further investigate the associated abnormalities between these two structures. Using brain structural magnetic resonance imaging, we perform a novel combined shape and pose analysis of the thalamus and putamen between 17 preterm (41.12 ± 5.08 weeks) and 19 term-born (45.51 ± 5.40 weeks) neonates at term equivalent age. We also perform a set of correlation analyses between the thalamus and the putamen, based on the surface and pose results. We locate significant alterations on specific surface regions such as the anterior and ventral anterior (VA) thalamic nuclei, and significant relative pose changes of the left thalamus and the right putamen. In addition, we detect significant association between the thalamus and the putamen for both surface and pose parameters. The regions that are significantly associated include the VA, and the anterior and inferior putamen. We detect statistically significant surface deformations and pose changes on the thalamus and putamen, and for the first time, demonstrate the feasibility of using relative pose parameters as indicators for prematurity in neonates. Our methods show that regional abnormalities of the thalamus are associated with alterations of the putamen, possibly due to disturbed development of shared pre-frontal connectivity. More specifically, the significantly correlated regions in these two structures point to frontal-subcortical pathways including the dorsolateral prefrontal-subcortical circuit, the lateral orbitofrontal-subcortical circuit, the motor circuit, and the oculomotor circuit. These findings reveal new insight into potential subcortical structural covariates for poor neurodevelopmental outcomes in the preterm population.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Lao</LastName>
<ForeName>Yi</ForeName>
<Initials>Y</Initials>
<AffiliationInfo>
<Affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Wang</LastName>
<ForeName>Yalin</ForeName>
<Initials>Y</Initials>
<AffiliationInfo>
<Affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Shi</LastName>
<ForeName>Jie</ForeName>
<Initials>J</Initials>
<AffiliationInfo>
<Affiliation>School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, 85281, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ceschin</LastName>
<ForeName>Rafael</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Nelson</LastName>
<ForeName>Marvin D</ForeName>
<Initials>MD</Initials>
<AffiliationInfo>
<Affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Panigrahy</LastName>
<ForeName>Ashok</ForeName>
<Initials>A</Initials>
<AffiliationInfo>
<Affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Leporé</LastName>
<ForeName>Natasha</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>Department of Radiology, University of Southern California and Children's Hospital, 4650 Sunset Blvd, MS#81, Los Angeles, CA, 90027, USA. nlepore@chla.usc.edu.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y">
<Grant>
<GrantID>5K23-NS063371</GrantID>
<Acronym>NS</Acronym>
<Agency>NINDS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>R21AG043760</GrantID>
<Acronym>AG</Acronym>
<Agency>NIA NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>K23 NS063371</GrantID>
<Acronym>NS</Acronym>
<Agency>NINDS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>R21 EB012177</GrantID>
<Acronym>EB</Acronym>
<Agency>NIBIB NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>R21 AG043760</GrantID>
<Acronym>AG</Acronym>
<Agency>NIA NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>U54 EB020403</GrantID>
<Acronym>EB</Acronym>
<Agency>NIBIB NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant>
<GrantID>R21EB012177</GrantID>
<Acronym>EB</Acronym>
<Agency>NIBIB NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2014</Year>
<Month>11</Month>
<Day>01</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Germany</Country>
<MedlineTA>Brain Struct Funct</MedlineTA>
<NlmUniqueID>101282001</NlmUniqueID>
<ISSNLinking>1863-2653</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2006 Feb;117(2):357-66</RefSource>
<PMID Version="1">16452354</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatr Res. 2000 Jun;47(6):713-20</RefSource>
<PMID Version="1">10832727</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Behav Brain Sci. 1999 Jun;22(3):425-44; discussion 444-89</RefSource>
<PMID Version="1">11301518</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Comp Neurol. 1983 Oct 1;219(4):431-47</RefSource>
<PMID Version="1">6196382</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Prog Brain Res. 1990;85:119-46</RefSource>
<PMID Version="1">2094891</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Arch Pediatr Adolesc Med. 2002 Jun;156(6):615-20</RefSource>
<PMID Version="1">12038896</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Behav Brain Funct. 2005 Jun 27;1(1):8</RefSource>
<PMID Version="1">15982413</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>PLoS One. 2013;8(7):e66736</RefSource>
<PMID Version="1">23843961</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Behav Brain Res. 2002 Mar 10;130(1-2):29-36</RefSource>
<PMID Version="1">11864715</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain. 1987 Aug;110 ( Pt 4):1045-59</RefSource>
<PMID Version="1">3651794</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Chem Neuroanat. 2003 Dec;26(4):317-30</RefSource>
<PMID Version="1">14729134</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>N Engl J Med. 2000 Aug 10;343(6):378-84</RefSource>
<PMID Version="1">10933736</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain. 2008 Dec;131(Pt 12):3277-85</RefSource>
<PMID Version="1">19022861</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Arch Neurol. 1993 Aug;50(8):873-80</RefSource>
<PMID Version="1">8352676</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Arch Neurol. 1988 Jul;45(7):725-30</RefSource>
<PMID Version="1">3390026</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2011 Jun 15;56(4):1993-2010</RefSource>
<PMID Version="1">21440071</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>JAMA. 2002 Aug 14;288(6):728-37</RefSource>
<PMID Version="1">12169077</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2010 Feb 1;49(3):2141-57</RefSource>
<PMID Version="1">19900560</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Nat Rev Neurol. 2010 Sep;6(9):471-2</RefSource>
<PMID Version="1">20811463</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cereb Cortex. 2012 May;22(5):1016-24</RefSource>
<PMID Version="1">21772018</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2010 Aug 15;52(2):409-14</RefSource>
<PMID Version="1">20451627</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2010 Jun;51(2):555-64</RefSource>
<PMID Version="1">20206702</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2005 Feb;115(2):286-94</RefSource>
<PMID Version="1">15687434</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Neuropsychiatry Clin Neurosci. 1994 Fall;6(4):358-70</RefSource>
<PMID Version="1">7841807</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Lancet Neurol. 2009 Jan;8(1):110-24</RefSource>
<PMID Version="1">19081519</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Med Image Comput Comput Assist Interv. 2006;9(Pt 1):924-31</RefSource>
<PMID Version="1">17354979</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Med Child Neurol. 2008 Sep;50(9):655-63</RefSource>
<PMID Version="1">18754914</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2008 Apr;121(4):758-65</RefSource>
<PMID Version="1">18381541</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain Res. 2011 Oct 12;1417:77-86</RefSource>
<PMID Version="1">21890117</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Med Image Anal. 2006 Oct;10(5):764-85</RefSource>
<PMID Version="1">16899392</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatr Res. 2004 May;55(5):884-93</RefSource>
<PMID Version="1">14764914</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2004 Aug;22(4):1754-66</RefSource>
<PMID Version="1">15275931</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Med Child Neurol. 2003 Feb;45(2):97-103</RefSource>
<PMID Version="1">12578235</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>JAMA. 2000 Oct 18;284(15):1939-47</RefSource>
<PMID Version="1">11035890</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Neurosci. 2008 Jul 9;28(28):7143-52</RefSource>
<PMID Version="1">18614684</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Acta Paediatr. 2011 Jul;100(7):983-91</RefSource>
<PMID Version="1">21332783</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Med Child Neurol. 2004 Jan;46(1):46-53</RefSource>
<PMID Version="1">14974647</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Front Neurosci. 2013 May 08;7:24</RefSource>
<PMID Version="1">23658535</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain. 2000 Nov;123 ( Pt 11):2189-202</RefSource>
<PMID Version="1">11050020</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Med Child Neurol. 2001 Jul;43(7):481-5</RefSource>
<PMID Version="1">11463180</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Hum Brain Mapp. 2002 Jan;15(1):1-25</RefSource>
<PMID Version="1">11747097</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2006 Feb;117(2):376-86</RefSource>
<PMID Version="1">16452356</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Trends Neurosci. 1994 Feb;17(2):52-7</RefSource>
<PMID Version="1">7512768</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Arch Dis Child Fetal Neonatal Ed. 2006 Nov;91(6):F423-8</RefSource>
<PMID Version="1">16877476</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2009 Nov;124(5):e817-25</RefSource>
<PMID Version="1">19841112</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2003 Jul;112(1 Pt 1):1-7</RefSource>
<PMID Version="1">12837859</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Trends Neurosci. 2003 Aug;26(8):429-35</RefSource>
<PMID Version="1">12900174</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>AJNR Am J Neuroradiol. 2011 Jan;32(1):185-91</RefSource>
<PMID Version="1">20930003</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Metab Brain Dis. 1989 Mar;4(1):17-23</RefSource>
<PMID Version="1">2649779</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>N Engl J Med. 2005 Jan 6;352(1):9-19</RefSource>
<PMID Version="1">15635108</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain Cogn. 2009 Dec;71(3):362-8</RefSource>
<PMID Version="1">19628325</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2006 Aug 1;32(1):70-8</RefSource>
<PMID Version="1">16675269</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>IEEE Trans Med Imaging. 2008 Jan;27(1):129-41</RefSource>
<PMID Version="1">18270068</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Clin Neurophysiol. 2012 Jun;123(6):1191-9</RefSource>
<PMID Version="1">22018705</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Neuroimage. 2011 Apr 1;55(3):999-1008</RefSource>
<PMID Version="1">21216295</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Dev Psychopathol. 2004 Winter;16(1):137-55</RefSource>
<PMID Version="1">15115068</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Acta Neuropathol Commun. 2013;1:67</RefSource>
<PMID Version="1">24252498</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Eur J Neurosci. 2010 Jun;31(12):2292-307</RefSource>
<PMID Version="1">20550571</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>IEEE Trans Med Imaging. 1999 Oct;18(10):851-65</RefSource>
<PMID Version="1">10628945</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Comp Neurol. 1988 May 15;271(3):355-86</RefSource>
<PMID Version="1">2454966</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>J Pediatr. 2008 Apr;152(4):513-20, 520.e1</RefSource>
<PMID Version="1">18346506</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Brain. 1984 Mar;107 ( Pt 1):81-93</RefSource>
<PMID Version="1">6697163</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Arch Dis Child Fetal Neonatal Ed. 2005 Nov;90(6):F474-9</RefSource>
<PMID Version="1">15956096</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Int J Dev Neurosci. 2011 May;29(3):193-205</RefSource>
<PMID Version="1">20883772</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatr Neurol. 2004 Nov;31(5):318-25</RefSource>
<PMID Version="1">15519112</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Cortex. 2003 Sep-Dec;39(4-5):1047-62</RefSource>
<PMID Version="1">14584566</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):652-61</RefSource>
<PMID Version="1">20224121</PMID>
</CommentsCorrections>
<CommentsCorrections RefType="Cites">
<RefSource>Pediatrics. 2007 Apr;119(4):759-65</RefSource>
<PMID Version="1">17403847</PMID>
</CommentsCorrections>
</CommentsCorrectionsList>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001931" MajorTopicYN="N">Brain Mapping</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D002657" MajorTopicYN="N">Child Development</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005240" MajorTopicYN="N">Feasibility Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005865" MajorTopicYN="N">Gestational Age</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007234" MajorTopicYN="Y">Infant, Premature</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008279" MajorTopicYN="Y">Magnetic Resonance Imaging</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011446" MajorTopicYN="N">Prospective Studies</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011699" MajorTopicYN="N">Putamen</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D012815" MajorTopicYN="Y">Signal Processing, Computer-Assisted</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013788" MajorTopicYN="N">Thalamus</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014795" MajorTopicYN="N">Visual Pathways</DescriptorName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
</MeshHeading>
</MeshHeadingList>
<OtherID Source="NLM">NIHMS673678 [Available on 01/01/17]</OtherID>
<OtherID Source="NLM">PMC4417103 [Available on 01/01/17]</OtherID>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Frontal-subcortical circuits</Keyword>
<Keyword MajorTopicYN="N">Pose</Keyword>
<Keyword MajorTopicYN="N">Prematurity</Keyword>
<Keyword MajorTopicYN="N">Subcortical structures</Keyword>
<Keyword MajorTopicYN="N">Tensor-based morphometry</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2014</Year>
<Month>04</Month>
<Day>13</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2014</Year>
<Month>10</Month>
<Day>15</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2014</Year>
<Month>11</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2014</Year>
<Month>11</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2016</Year>
<Month>10</Month>
<Day>19</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">25366970</ArticleId>
<ArticleId IdType="doi">10.1007/s00429-014-0921-7</ArticleId>
<ArticleId IdType="pii">10.1007/s00429-014-0921-7</ArticleId>
<ArticleId IdType="pmc">PMC4417103</ArticleId>
<ArticleId IdType="mid">NIHMS673678</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations>
<list>
<country>
<li>États-Unis</li>
</country>
<region>
<li>Pennsylvanie</li>
</region>
</list>
<tree>
<country name="États-Unis">
<noRegion>
<name sortKey="Lao, Yi" sort="Lao, Yi" uniqKey="Lao Y" first="Yi" last="Lao">Yi Lao</name>
</noRegion>
<name sortKey="Ceschin, Rafael" sort="Ceschin, Rafael" uniqKey="Ceschin R" first="Rafael" last="Ceschin">Rafael Ceschin</name>
<name sortKey="Lepore, Natasha" sort="Lepore, Natasha" uniqKey="Lepore N" first="Natasha" last="Leporé">Natasha Leporé</name>
<name sortKey="Nelson, Marvin D" sort="Nelson, Marvin D" uniqKey="Nelson M" first="Marvin D" last="Nelson">Marvin D. Nelson</name>
<name sortKey="Panigrahy, Ashok" sort="Panigrahy, Ashok" uniqKey="Panigrahy A" first="Ashok" last="Panigrahy">Ashok Panigrahy</name>
<name sortKey="Shi, Jie" sort="Shi, Jie" uniqKey="Shi J" first="Jie" last="Shi">Jie Shi</name>
<name sortKey="Wang, Yalin" sort="Wang, Yalin" uniqKey="Wang Y" first="Yalin" last="Wang">Yalin Wang</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Amérique/explor/PittsburghV1/Data/PubMed/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000013 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd -nk 000013 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Amérique
   |area=    PittsburghV1
   |flux=    PubMed
   |étape=   Checkpoint
   |type=    RBID
   |clé=     pubmed:25366970
   |texte=   Thalamic alterations in preterm neonates and their relation to ventral striatum disturbances revealed by a combined shape and pose analysis.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i   -Sk "pubmed:25366970" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd   \
       | NlmPubMed2Wicri -a PittsburghV1 

Wicri

This area was generated with Dilib version V0.6.38.
Data generation: Fri Jun 18 17:37:45 2021. Site generation: Fri Jun 18 18:15:47 2021