Connectome-based predictive modeling of individual anxiety

Z Wang, KS Goerlich, H Ai, A Aleman, Y Luo… - Cerebral …, 2021 - academic.oup.com
Anxiety-related illnesses are highly prevalent in human society. Being able to identify
neurobiological markers signaling high trait anxiety could aid the assessment of individuals …

[HTML][HTML] A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity

Y Takagi, Y Sakai, Y Abe, S Nishida, BJ Harrison… - Neuroimage, 2018 - Elsevier
Anxiety is one of the most common mental states of humans. Although it drives us to avoid
frightening situations and to achieve our goals, it may also impose significant suffering and …

Anxious brain networks: A coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety

J Xu, NT Van Dam, C Feng, Y Luo, H Ai, R Gu… - … & Biobehavioral Reviews, 2019 - Elsevier
Anxiety and anxiety disorders are associated with specific alterations to functional brain
networks, including intra-networks and inter-networks. Given the heterogeneity within …

Brain connectomics predict response to treatment in social anxiety disorder

S Whitfield-Gabrieli, SS Ghosh, A Nieto-Castanon… - Molecular …, 2016 - nature.com
We asked whether brain connectomics can predict response to treatment for a
neuropsychiatric disorder better than conventional clinical measures. Pre-treatment resting …

Dissociable salience and default mode network modulation in generalized anxiety disorder: a connectome-wide association study

R Li, F Shen, X Sun, T Zou, L Li, X Wang… - Cerebral …, 2023 - academic.oup.com
Generalized anxiety disorder (GAD) is a common anxiety disorder experiencing
psychological and somatic symptoms. Here, we explored the link between the individual …

Lifespan anxiety is reflected in human amygdala cortical connectivity

Y He, T Xu, W Zhang, XN Zuo - Human Brain Mapping, 2016 - Wiley Online Library
The amygdala plays a pivotal role in processing anxiety and connects to large‐scale brain
networks. However, intrinsic functional connectivity (iFC) between amygdala and these …

Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from morphometric features

T Baggio, A Grecucci, F Meconi, I Messina - Sensors, 2023 - mdpi.com
Trait anxiety relates to the steady propensity to experience and report negative emotions
and thoughts such as fear and worries across different situations, along with a stable …

[HTML][HTML] Trait and state anxiety are mapped differently in the human brain

F Saviola, E Pappaianni, A Monti, A Grecucci… - Scientific reports, 2020 - nature.com
Anxiety is a mental state characterized by an intense sense of tension, worry or
apprehension, relative to something adverse that might happen in the future. Researchers …

Toward robust anxiety biomarkers: a machine learning approach in a large-scale sample

EA Boeke, AJ Holmes, EA Phelps - Biological Psychiatry: Cognitive …, 2020 - Elsevier
Background The field of psychiatry has long sought biomarkers that can objectively
diagnose patients, predict treatment response, or identify individuals at risk of illness onset …

Disrupted brain gray matter connectome in social anxiety disorder: a novel individualized structural covariance network analysis

X Zhang, H Lai, Q Li, X Yang, N Pan, M He… - Cerebral …, 2023 - academic.oup.com
Phenotyping approaches grounded in structural network science can offer insights into the
neurobiological substrates of psychiatric diseases, but this remains to be clarified at the …