PT  - JOURNAL ARTICLE
AU  - Marjolein Spronk
AU  - Kaustubh Kulkarni
AU  - Jie Lisa Ji
AU  - Brian P. Keane
AU  - Alan Anticevic
AU  - Michael W Cole
TI  - A whole-brain and cross-diagnostic perspective on functional brain network dysfunction
AID  - 10.1101/326728
DP  - 2018 Jan 01
TA  - bioRxiv
PG  - 326728
4099  - http://biorxiv.org/content/early/2018/05/21/326728.short
4100  - http://biorxiv.org/content/early/2018/05/21/326728.full
AB  - A wide variety of mental disorders have been associated with resting-state functional network alterations, which are thought to contribute to the cognitive changes underlying mental illness. These observations have seemed to support various theories postulating large-scale disruptions of brain systems in mental illness. However, existing approaches isolate differences in network organization without putting those differences in broad, whole-brain perspective. Using a graph distance measure – connectome-wide correlation – we found that whole-brain resting-state functional network organization in humans is highly similar across a variety of mental diseases and healthy controls. This similarity was observed across autism spectrum disorder, attention-deficit hyperactivity disorder, and schizophrenia. Nonetheless, subtle differences in network graph distance were predictive of diagnosis, suggesting that while functional connectomes differ little across health and disease those differences are informative. Such small network alterations may reflect the fact that most psychiatric patients maintain overall cognitive abilities similar to those of healthy individuals (relative to, e.g., the most severe schizophrenia cases), such that whole-brain functional network organization is expected to differ only subtly even for mental diseases with devastating effects on everyday life. These results suggest a need to reevaluate neurocognitive theories of mental illness, with a role for subtle functional brain network changes in the production of an array of mental diseases.