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Diffusion tensor imaging in Alzheimer’s disease and affective disorders

Overview of attention for article published in European Archives of Psychiatry and Clinical Neuroscience, March 2014
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Title
Diffusion tensor imaging in Alzheimer’s disease and affective disorders
Published in
European Archives of Psychiatry and Clinical Neuroscience, March 2014
DOI 10.1007/s00406-014-0496-6
Pubmed ID
Authors

Stefan J. Teipel, Martin Walter, Yuttachai Likitjaroen, Peter Schönknecht, Oliver Gruber

Abstract

The functional organization of the brain in segregated neuronal networks has become a leading paradigm in the study of brain diseases. Diffusion tensor imaging (DTI) allows testing the validity and clinical utility of this paradigm on the structural connectivity level. DTI in Alzheimer's disease (AD) suggests a selective impairment of intracortical projecting fiber tracts underlying the functional disorganization of neuronal networks supporting memory and other cognitive functions. These findings have already been tested for their utility as clinical markers of AD in large multicenter studies. Affective disorders, including major depressive disorder (MDD) and bipolar disorder (BP), show a high comorbidity with AD in geriatric populations and may even have a pathogenetic overlap with AD. DTI studies in MDD and BP are still limited to small-scale monocenter studies, revealing subtle abnormalities in cortico-subcortial networks associated with affect regulation and reward/aversion control. The clinical utility of these findings remains to be further explored. The present paper presents the methodological background of diffusion imaging, including DTI and diffusion spectrum imaging, and discusses key findings in AD and affective disorders. The results of our review strongly point toward the necessity of large-scale multicenter multimodal transnosological networks to study the structural and functional basis of neuronal disconnection underlying different neuropsychiatric diseases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Italy 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 18%
Student > Master 14 16%
Researcher 9 10%
Student > Doctoral Student 9 10%
Student > Bachelor 5 6%
Other 16 18%
Unknown 20 22%
Readers by discipline Count As %
Psychology 21 24%
Medicine and Dentistry 19 21%
Neuroscience 13 15%
Agricultural and Biological Sciences 3 3%
Nursing and Health Professions 2 2%
Other 7 8%
Unknown 24 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2015.
All research outputs
#18,550,468
of 23,815,455 outputs
Outputs from European Archives of Psychiatry and Clinical Neuroscience
#939
of 1,243 outputs
Outputs of similar age
#155,979
of 222,725 outputs
Outputs of similar age from European Archives of Psychiatry and Clinical Neuroscience
#16
of 19 outputs
Altmetric has tracked 23,815,455 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,243 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.