Strength of default mode resting-state connectivity relates to white matter integrity in children
A default mode network of brain regions is known to demonstrate coordinated activity during the resting state. While the default mode network is well characterized in adults, few investigations have focused upon its development. We scanned 9–13‐year‐old children with diffusion tensor imaging and res...
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Veröffentlicht in: | Developmental science 2011-07, Vol.14 (4), p.738-751 |
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description | A default mode network of brain regions is known to demonstrate coordinated activity during the resting state. While the default mode network is well characterized in adults, few investigations have focused upon its development. We scanned 9–13‐year‐old children with diffusion tensor imaging and resting‐state functional magnetic resonance imaging. We identified resting‐state networks using Independent Component Analysis and tested whether the functional connectivity between the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) depends upon the maturation of the underlying cingulum white matter tract. To determine the generalizability of this relationship, we also tested whether functional connectivity depends on white matter maturity between bilateral lateral prefrontal cortex (lateral PFC) within the executive control network. We found a positive relationship between mPFC‐PCC connectivity and fractional anisotropy of the cingulum bundle; this positive relationship was moderated by the age of the subjects such that it was stronger in older children. By contrast, no such structure–function relationship emerged between right and left lateral PFC. However, functional and structural connectivity of this tract related positively with cognitive speed, fluency, and set‐switching neuropsychological measures. |
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While the default mode network is well characterized in adults, few investigations have focused upon its development. We scanned 9–13‐year‐old children with diffusion tensor imaging and resting‐state functional magnetic resonance imaging. We identified resting‐state networks using Independent Component Analysis and tested whether the functional connectivity between the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) depends upon the maturation of the underlying cingulum white matter tract. To determine the generalizability of this relationship, we also tested whether functional connectivity depends on white matter maturity between bilateral lateral prefrontal cortex (lateral PFC) within the executive control network. We found a positive relationship between mPFC‐PCC connectivity and fractional anisotropy of the cingulum bundle; this positive relationship was moderated by the age of the subjects such that it was stronger in older children. By contrast, no such structure–function relationship emerged between right and left lateral PFC. 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While the default mode network is well characterized in adults, few investigations have focused upon its development. We scanned 9–13‐year‐old children with diffusion tensor imaging and resting‐state functional magnetic resonance imaging. We identified resting‐state networks using Independent Component Analysis and tested whether the functional connectivity between the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) depends upon the maturation of the underlying cingulum white matter tract. To determine the generalizability of this relationship, we also tested whether functional connectivity depends on white matter maturity between bilateral lateral prefrontal cortex (lateral PFC) within the executive control network. We found a positive relationship between mPFC‐PCC connectivity and fractional anisotropy of the cingulum bundle; this positive relationship was moderated by the age of the subjects such that it was stronger in older children. By contrast, no such structure–function relationship emerged between right and left lateral PFC. However, functional and structural connectivity of this tract related positively with cognitive speed, fluency, and set‐switching neuropsychological measures.</description><subject>Adolescent</subject><subject>Adolescents</subject><subject>Age</subject><subject>Age Differences</subject><subject>Age Factors</subject><subject>Anisotropy</subject><subject>Brain</subject><subject>Brain - physiology</subject><subject>Brain Hemisphere Functions</subject><subject>Brain mapping</subject><subject>Brain Mapping - methods</subject><subject>Child</subject><subject>Child Development</subject><subject>Child psychology</subject><subject>Children</subject><subject>Cingulum</subject><subject>Cognition</subject><subject>Cognitive ability</subject><subject>Cognitive Processes</subject><subject>Cortex (cingulate)</subject><subject>Cortex (prefrontal)</subject><subject>Development</subject><subject>Diffusion Tensor Imaging - methods</subject><subject>Evaluation Methods</subject><subject>Executive Function</subject><subject>Functional Laterality</subject><subject>Functional magnetic resonance imaging</subject><subject>Humans</subject><subject>Integrity</subject><subject>Investigations</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Maturity</subject><subject>Measures (Individuals)</subject><subject>Nerve Net - physiology</subject><subject>Neural networks</subject><subject>Neural Pathways - physiology</subject><subject>Neuropsychology</subject><subject>Science Education</subject><subject>Structure-function relationships</subject><subject>Substantia alba</subject><issn>1363-755X</issn><issn>1467-7687</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUU1v1DAQjRCIlsI_QCjiApcs_nZyQULLtlBVcOgiKi6W40x2vSROsb3t7r_HYUv4OCAsWR7Ne_M8My_LcoxmOJ1XmxlmQhZSlHJGUMqmS9Bsdy87noD7KaaCFpLzq6PsUQgbhBCjCD_MjggWUqCKHWf6Mnpwq7jOhzZvoNXbLub90EDuIUTrVkWIOkJuBufARHtj4z5BXcqFPA757domtNcxgs-ti7DyI8O63Kxt1yTtx9mDVncBnty9J9mn08Vy_q64-Hj2fv7mojC8oqiQNeMNNk1Vt7SuTN2UElclbSnBjNCmgRKRinCCiAapaxgDI6A0wJGsEaEn2euD7vW27qEx4KLXnbr2ttd-rwZt1Z-Is2u1Gm4UxVgyhpLAizsBP3zbpulVb4OBrtMOhm1QpSSMciZYYr78JzOZQbhgTNBEff4XdTNsvUuLGPUQTkaMrZcHkvFDCB7aqWuM1Gi42qjRVzX6qkbD1Q_D1S6VPvt96qnwp8OJ8PRAAG_NBC_OK1JJVv3a2q3tYP_f_6q3i8v5GCaB4iBgQ4TdJKD9VyUklVx9_nCmrpZ8fiqW5-oL_Q7a7NPm</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Gordon, Evan M.</creator><creator>Lee, Philip S.</creator><creator>Maisog, Jose M.</creator><creator>Foss-Feig, Jennifer</creator><creator>Billington, Michael E.</creator><creator>VanMeter, John</creator><creator>Vaidya, Chandan J.</creator><general>Blackwell Publishing Ltd</general><general>Wiley-Blackwell</general><scope>BSCLL</scope><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201107</creationdate><title>Strength of default mode resting-state connectivity relates to white matter integrity in children</title><author>Gordon, Evan M. ; 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While the default mode network is well characterized in adults, few investigations have focused upon its development. We scanned 9–13‐year‐old children with diffusion tensor imaging and resting‐state functional magnetic resonance imaging. We identified resting‐state networks using Independent Component Analysis and tested whether the functional connectivity between the medial prefrontal cortex (mPFC) and posterior cingulate cortex (PCC) depends upon the maturation of the underlying cingulum white matter tract. To determine the generalizability of this relationship, we also tested whether functional connectivity depends on white matter maturity between bilateral lateral prefrontal cortex (lateral PFC) within the executive control network. We found a positive relationship between mPFC‐PCC connectivity and fractional anisotropy of the cingulum bundle; this positive relationship was moderated by the age of the subjects such that it was stronger in older children. 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subjects | Adolescent Adolescents Age Age Differences Age Factors Anisotropy Brain Brain - physiology Brain Hemisphere Functions Brain mapping Brain Mapping - methods Child Child Development Child psychology Children Cingulum Cognition Cognitive ability Cognitive Processes Cortex (cingulate) Cortex (prefrontal) Development Diffusion Tensor Imaging - methods Evaluation Methods Executive Function Functional Laterality Functional magnetic resonance imaging Humans Integrity Investigations Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Maturity Measures (Individuals) Nerve Net - physiology Neural networks Neural Pathways - physiology Neuropsychology Science Education Structure-function relationships Substantia alba |
title | Strength of default mode resting-state connectivity relates to white matter integrity in children |
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