Back

Altered Resting State Brain Networks and Cognition in Familial Adenomatous Polyposis

Cali, R. J.; Nephew, B. C.; Moore, C. M.; Chumachenko, S.; Sala, A. C.; Cintron, B.; Luciano, C.; King, J. A.; Hooper, S. R.; Giardiello, F. M.; Cruz-Correa, M.

2020-11-04 neurology
10.1101/2020.11.02.20224477 medRxiv
Show abstract

Familial Adenomatous Polyposis (FAP) is an autosomal dominant disorder caused by mutation of the APC gene presenting with numerous colorectal adenomatous polyps and a near 100% risk of colon cancer. Preliminary research findings from our group indicate that FAP patients experience significant deficits across many cognitive domains. In the current study, fMRI brain metrics in a FAP population and matched controls were used to further the mechanistic understanding of reported cognitive deficits. This research identified and characterized any possible differences in resting brain networks and associations between neural network changes and cognition from 34 participants (18 FAP patients, 16 healthy controls). Functional connectivity analysis was performed using FSL with independent component analysis (ICA) to identify functional networks. Significant differences between cases and controls were observed in 8 well-established resting state networks. With the addition of an aggregate cognitive measure as a covariate, these differences were virtually non-existent, indicating a strong correlation between cognition and brain activity at the network level. The data indicate robust and pervasive effects on functional neural network activity among FAP patients and these effects are likely involved in cognitive deficits associated with this disease.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3102 papers in training set
Top 1%
17.2%
2
Frontiers in Neuroscience
223 papers in training set
Top 0.2%
8.3%
3
NeuroImage: Clinical
132 papers in training set
Top 0.5%
8.3%
4
Brain Connectivity
22 papers in training set
Top 0.1%
6.3%
5
Brain Communications
147 papers in training set
Top 0.3%
6.2%
6
PLOS ONE
4510 papers in training set
Top 32%
4.8%
50% of probability mass above
7
Brain Sciences
52 papers in training set
Top 0.2%
3.5%
8
Human Brain Mapping
295 papers in training set
Top 2%
3.5%
9
Frontiers in Aging Neuroscience
67 papers in training set
Top 1%
3.5%
10
Frontiers in Human Neuroscience
67 papers in training set
Top 0.9%
2.0%
11
Brain and Behavior
37 papers in training set
Top 0.4%
1.9%
12
Journal of Neurology
26 papers in training set
Top 0.7%
1.5%
13
Orphanet Journal of Rare Diseases
18 papers in training set
Top 0.4%
1.3%
14
Frontiers in Neurology
91 papers in training set
Top 4%
1.3%
15
Epilepsia
49 papers in training set
Top 0.6%
1.2%
16
BMC Neurology
12 papers in training set
Top 0.6%
1.2%
17
Journal of Alzheimer's Disease
43 papers in training set
Top 1.0%
0.9%
18
Network Neuroscience
116 papers in training set
Top 0.9%
0.9%
19
BMC Cancer
52 papers in training set
Top 2%
0.9%
20
Computational and Structural Biotechnology Journal
216 papers in training set
Top 7%
0.9%
21
Journal of Personalized Medicine
28 papers in training set
Top 0.9%
0.9%
22
Brain Structure and Function
83 papers in training set
Top 0.5%
0.8%
23
Translational Psychiatry
219 papers in training set
Top 4%
0.8%
24
Brain Imaging and Behavior
14 papers in training set
Top 0.2%
0.8%
25
Neurobiology of Disease
134 papers in training set
Top 4%
0.7%
26
Journal of the Neurological Sciences
17 papers in training set
Top 0.8%
0.7%
27
iScience
1063 papers in training set
Top 35%
0.7%
28
Journal of Cognitive Neuroscience
119 papers in training set
Top 2%
0.7%
29
Journal of Clinical Medicine
91 papers in training set
Top 8%
0.6%
30
Frontiers in Psychiatry
83 papers in training set
Top 4%
0.6%