| Title |
Identify a shared neural circuit linking multiple neuropsychiatric symptoms with Alzheimer’s pathology
|
|---|---|
| Published in |
Brain Imaging and Behavior, September 2017
|
| DOI | 10.1007/s11682-017-9767-y |
| Pubmed ID | |
| Authors |
Xixi Wang, Ping Ren, Mark Mapstone, Yeates Conwell, Anton P. Porsteinsson, John J. Foxe, Rajeev D. S. Raizada, Feng Lin, and the Alzheimer’s Disease Neuroimaging Initiative |
| Abstract |
Neuropsychiatric symptoms (NPS) are common in Alzheimer's disease (AD)-associated neurodegeneration. However, NPS lack a consistent relationship with AD pathology. It is unknown whether any common neural circuits can link these clinically disparate while mechanistically similar features with AD pathology. Here, we explored the neural circuits of NPS in AD-associated neurodegeneration using multivariate pattern analysis (MVPA) of resting-state functional MRI data. Data from 98 subjects (70 amnestic mild cognitive impairment and 28 AD subjects) were obtained. The top 10 regions differentiating symptom presence across NPS were identified, which were mostly the fronto-limbic regions (medial prefrontal cortex, caudate, etc.). These 10 regions' functional connectivity classified symptomatic subjects across individual NPS at 69.46-81.27%, and predicted multiple NPS (indexed by Neuropsychiatric Symptom Questionnaire-Inventory) and AD pathology (indexed by baseline and change of beta-amyloid/pTau ratio) all above 70%. Our findings suggest a fronto-limbic dominated neural circuit that links multiple NPS and AD pathology. With further examination of the structural and pathological changes within the circuit, the circuit may shed light on linking behavioral disturbances with AD-associated neurodegeneration. |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 13% |
| Student > Bachelor | 8 | 13% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Master | 6 | 10% |
| Lecturer | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 25 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 14% |
| Medicine and Dentistry | 6 | 10% |
| Neuroscience | 5 | 8% |
| Nursing and Health Professions | 4 | 6% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 29 | 46% |
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 01 November 2017.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Brain Imaging and Behavior
#1,008
of 1,155 outputs
Outputs of similar age
#276,217
of 316,175 outputs
Outputs of similar age from Brain Imaging and Behavior
#17
of 21 outputs
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