Evidence map›Paper›PMID 27832148›Full record

ArticlePloS one2016

Topological Organization of Metabolic Brain Networks in Pre-Chemotherapy Cancer with Depression: A Resting-State PET Study.

Lei Fang, Zhijun Yao, Jianping An, Xuejiao Chen, Yuanwei Xie, Hui Zhao, Junfeng Mao, Wangsheng Liang, Xiangxing Ma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Lei FangDepartment of radiology, Qilu Hospital, First Affiliated Hospital of Shandong University, 107 Cultural West Road, Jinan, 250012, Shandong Province, P.R.China.
Zhijun YaoSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, 730000, P.R.China.
Jianping AnNuclear Medicine Department, Affiliated Lanzhou General Hospital of Lanzhou Military Area Command, 333 South Binhe Road, Lanzhou, 730050, Gansu Province, P.R.China.
Xuejiao ChenSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, 730000, P.R.China.
Yuanwei XieSchool of Information Science and Engineering, Lanzhou University, Lanzhou, Gansu Province, 730000, P.R.China.
Hui ZhaoNuclear Medicine Department, Affiliated Lanzhou General Hospital of Lanzhou Military Area Command, 333 South Binhe Road, Lanzhou, 730050, Gansu Province, P.R.China.
Junfeng MaoPET/CT Center, Affiliated Lanzhou General Hospital of Lanzhou Military Area Command, 333 South Binhe Road, Lanzhou, 730050, Gansu Province, P.R.China.
Wangsheng LiangPET/CT Center, Affiliated Lanzhou General Hospital of Lanzhou Military Area Command, 333 South Binhe Road, Lanzhou, 730050, Gansu Province, P.R.China.
Xiangxing MaDepartment of radiology, Qilu Hospital, First Affiliated Hospital of Shandong University, 107 Cultural West Road, Jinan, 250012, Shandong Province, P.R.China.
Lanzhou Army General Hospital · CNLanzhou University · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the metabolic brain network and its relationship with depression symptoms using 18F-fluorodeoxyglucose positron emission tomography data in 78 pre-chemotherapy cancer patients with depression and 80 matched healthy subjects. Functional and structural imbalance or disruption of brain networks frequently occur following chemotherapy in cancer patients. However, few studies have focused on the topological organization of the metabolic brain network in cancer with depression, especially those without chemotherapy. The nodal and global parameters of the metabolic brain network were computed for cancer patients and healthy subjects. Significant decreases in metabolism were found in the frontal and temporal gyri in cancer patients compared with healthy subjects. Negative correlations between depression and metabolism were found predominantly in the inferior frontal and cuneus regions, whereas positive correlations were observed in several regions, primarily including the insula, hippocampus, amygdala, and middle temporal gyri. Furthermore, a higher clustering efficiency, longer path length, and fewer hubs were found in cancer patients compared with healthy subjects. The topological organization of the whole-brain metabolic networks may be disrupted in cancer. Finally, the present findings may provide a new avenue for exploring the neurobiological mechanism, which plays a key role in lessening the depression effects in pre-chemotherapy cancer patients.

Indexed as

Metabolic Networks and PathwaysAdultBrainBrain MappingDepressionDepressive DisorderFemaleGlucoseHumansMaleMiddle AgedNeoplasmsPositron-Emission TomographyGlucose

Identifiers

PMID27832148
PMCPMC5104370
OpenAlexW2554964939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.