Association of copper levels in the hair with gray matter volume, mean diffusivity, and cognitive functions.


Journal

Brain structure & function
ISSN: 1863-2661
Titre abrégé: Brain Struct Funct
Pays: Germany
ID NLM: 101282001

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 24 10 2017
accepted: 08 01 2019
pubmed: 19 1 2019
medline: 31 8 2019
entrez: 19 1 2019
Statut: ppublish

Résumé

Although copper plays a critical role in normal brain functions and development, it is known that excess copper causes toxicity. Here we investigated the associations of copper levels in the hair with regional gray matter volume (rGMV), mean diffusivity (MD), and cognitive differences in a study cohort of 924 healthy young adults. Our findings showed that high copper levels were associated mostly with low cognitive abilities (low scores on the intelligence test consisting of complex speed tasks, involving reasoning task, a complex arithmetic task, and a reading comprehension task) as well as lower reverse Stroop interference, high rGMV over widespread areas of the brain [mainly including the bilateral lateral and medial parietal cortices, medial temporal structures (amygdala, hippocampus, and parahippocampal gyrus), middle cingulate cortex, orbitofrontal cortex, insula, perisylvian areas, inferior temporal lobe, temporal pole, occipital lobes, and supplementary motor area], as well as high MD of the right substantia nigra and bilateral hippocampus, which are indicative of low density in brain tissues. These results suggest that copper levels are associated with mostly aberrant cognitive functions, greater rGMV in extensive areas, greater MD (which are indicative of low density in brain tissues) in subcortical structures in the healthy young adults, possibly reflecting copper's complex roles in neural mechanisms.

Identifiants

pubmed: 30656448
doi: 10.1007/s00429-019-01830-y
pii: 10.1007/s00429-019-01830-y
doi:

Substances chimiques

Copper 789U1901C5

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1203-1217

Subventions

Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : KAKENHI 23700306
Organisme : Ministry of Education, Culture, Sports, Science and Technology
ID : KAKENHI 25700012

Auteurs

Hikaru Takeuchi (H)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan. takehi@idac.tohoku.ac.jp.

Yasuyuki Taki (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Radiology and Nuclear Medicine, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Rui Nouchi (R)

Creative Interdisciplinary Research Division, Frontier Research Institute for Interdisciplinary Science, Tohoku University, Sendai, Japan.
Human and Social Response Research Division, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Ryoichi Yokoyama (R)

School of Medicine, Kobe University, Kobe, Japan.

Yuka Kotozaki (Y)

Division of Clinical research, Medical-Industry Translational Research Center, Fukushima Medical University School of Medicine, Fukushima, Japan.

Seishu Nakagawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Division of Psychiatry, Tohoku Medical and Pharmaceutical University, Sendai, Japan.

Atsushi Sekiguchi (A)

Division of Medical Neuroimaging Analysis, Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Department of Behavioral Medicine, National Institute of Mental Health, National Center of Neurology and Psychiatry, Tokyo, Japan.

Kunio Iizuka (K)

Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan.

Yuki Yamamoto (Y)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Sugiko Hanawa (S)

Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Tsuyoshi Araki (T)

ADVANTAGE Risk Management Co., Ltd, Tokyo, Japan.

Carlos Makoto Miyauchi (CM)

Department of Language Sciences, Graduate School of Humanities, Tokyo Metropolitan University, Tokyo, Japan.

Kohei Sakaki (K)

Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Takayuki Nozawa (T)

Collaborative Research Center for Happiness Co-Creation Society through Intelligent Communications, Tokyo Institute of Technology, Tokyo, Japan.

Shigeyuki Ikeda (S)

Department of Ubiquitous Sensing, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

Susumu Yokota (S)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.

Magistro Daniele (M)

Department of Sport Science, School of Science and Technology, Nottingham Trent University, Nottingham, UK.

Yuko Sassa (Y)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.

Ryuta Kawashima (R)

Division of Developmental Cognitive Neuroscience, Institute of Development, Aging and Cancer, Tohoku University, 4-1 Seiryo-cho, Aoba-ku, Sendai, 980-8575, Japan.
Department of Advanced Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.
Department of Human Brain Science, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan.

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