Contrast subgraphs catch patterns of altered functional connectivity in autism spectrum disorder
Abstract Despite the breakthrough achievements in understanding structural and functional alterations of brain connectivity in autism spectrum disorder (ASD), the exact nature and type of such alterations are not yet clear due to conflicting reports of hyper-connectivity, hypo-connectivity, and—in s...
Saved in:
| Main Authors: | Tommaso Lanciano, Giovanni Petri, Tommaso Gili, Francesco Bonchi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04932-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ENDNet: Extra-Node Decision Network for Subgraph Matching
by: Masaki Shirotani, et al.
Published: (2025-01-01) -
An efficient method for mining frequent weighted subgraphs based on weighted edges
by: Lam B. Q. Nguyen, et al.
Published: (2025-05-01) -
Integrated systems analysis reveals a molecular network underlying autism spectrum disorders
by: Jingjing Li, et al.
Published: (2014-12-01) -
High Performance Frequent Subgraph Mining on Transaction Datasets: A Survey and Performance Comparison
by: Bismita S. Jena, et al.
Published: (2019-09-01) -
Schizotypal Traits in Children with Autism Spectrum Disorder and the Impact on Social, Emotional and Behavioral Functioning
by: Evdokia Tagkouli, et al.
Published: (2025-06-01)