Title |
Abnormal baseline brain activity in Alzheimer’s disease patients with depression: a resting-state functional magnetic resonance imaging study
|
---|---|
Published in |
Neuroradiology, June 2017
|
DOI | 10.1007/s00234-017-1854-7 |
Pubmed ID | |
Authors |
Xiaozheng Liu, Zhongwei Guo, Yanping Ding, Jiapeng Li, Gang Wang, Hongtao Hou, Xingli Chen, Enyan Yu |
Abstract |
As one of the most common mental disorders and the most important precursor of suicide in Alzheimer's disease (AD), depression is associated with a decline in both well-being and daily functioning. At present, the diagnosis of AD patients with depression (D-AD) is largely dependent on clinical signs and symptoms, and the precise neural correlate underlying D-AD is still not fully understood. The current study sought to investigate low-frequency oscillations at the voxel level in D-AD patients based on the amplitude of low-frequency fluctuations (ALFF) measured using resting-state functional magnetic resonance imaging. We examined 22 D-AD patients and 21 non-depressed AD (nD-AD) patients. The results revealed that D-AD patients exhibited increased ALFF values in the left caudate and thalamus and decreased ALFF values in the left middle temporal pole compared with nD-AD patients. These findings may provide further insight into the underlying neuropathophysiology of AD with depression. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 20% |
Student > Bachelor | 7 | 16% |
Student > Master | 6 | 13% |
Researcher | 4 | 9% |
Student > Postgraduate | 3 | 7% |
Other | 4 | 9% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 11 | 24% |
Neuroscience | 7 | 16% |
Medicine and Dentistry | 5 | 11% |
Nursing and Health Professions | 3 | 7% |
Agricultural and Biological Sciences | 2 | 4% |
Other | 1 | 2% |
Unknown | 16 | 36% |