Shared differential factors underlying individual spontaneous neural activity abnormalities in major depressive disorder DOI Creative Commons
Shaoqiang Han,

Ya Qiang Tian,

Ruiping Zheng

et al.

Psychological Medicine, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Nov. 26, 2024

Abstract Background In contemporary neuroimaging studies, it has been observed that patients with major depressive disorder (MDD) exhibit aberrant spontaneous neural activity, commonly quantified through the amplitude of low-frequency fluctuations (ALFF). However, substantial individual heterogeneity among poses a challenge to reaching unified conclusion. Methods To address this variability, our study adopts novel framework parse individualized ALFF abnormalities. We hypothesize abnormalities can be portrayed as unique linear combination shared differential factors. Our involved two large multi-center datasets, comprising 2424 MDD and 2183 healthy controls. patients, were derived normative modeling further deconstructed into factors using non-negative matrix factorization. Results Two positive negative identified. These closely linked clinical characteristics explained group-level in datasets. Moreover, these exhibited distinct associations distribution neurotransmitter receptors/transporters, transcriptional profiles inflammation-related genes, connectome-informed epicenters, underscoring their neurobiological relevance. Additionally, factor compositions facilitated identification four subtypes, each characterized by abnormal patterns features. Importantly, findings successfully replicated another dataset different acquisition equipment, protocols, preprocessing strategies, medication statuses, validating robustness generalizability. Conclusions This research identifies underlying activity contributes insights MDD.

Language: Английский

Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance DOI Creative Commons
Jiao Li, Chao Zhang, Yao Meng

et al.

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(6), P. e3002647 - e3002647

Published: June 20, 2024

The human brain is organized as segregation and integration units follows complex developmental trajectories throughout life. cortical manifold provides a new means of studying the brain’s organization in multidimensional connectivity gradient space. However, how morphometric changes across lifespan remains unclear. Here, leveraging structural magnetic resonance imaging scans from 1,790 healthy individuals aged 8 to 89 years, we investigated age-related global, within- between-network dispersions reveal networks 3D manifolds based on similarity network (MSN), combining multiple features conceptualized “fingerprint” an individual’s brain. Developmental global dispersion unfolded along patterns molecular organization, such acetylcholine receptor. Communities were increasingly dispersed with age, reflecting more disassortative profiles within community. Increasing within-network primary motor association cortices mediated influence age cognitive flexibility executive functions. We also found that secondary sensory decreasingly rest during aging, possibly indicating shift extreme central position manifolds. Together, our results MSN perspective space, providing insights into brain, well performance.

Language: Английский

Citations

6
Individualized gray matter morphological abnormalities unveil two neuroanatomical obsessive-compulsive disorder subtypes DOI Creative Commons
Baohong Wen,

Keke Fang,

Qiuying Tao

et al.

Translational Psychiatry, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 24, 2025

Obsessive-compulsive disorder (OCD) is a highly heterogeneous disorder, with notable variations among cases in structural brain abnormalities. To address this heterogeneity, our study aimed to delineate OCD subtypes based on individualized gray matter morphological differences. We recruited 100 untreated, first-episode patients and 106 healthy controls for imaging scans. Utilizing normative models of volume, we identified individual Sensitivity analyses were conducted validate the reproducibility clustering outcomes. gain deeper insights into connectomic molecular underpinnings abnormalities subtypes, investigated their associations normal network architecture distribution neurotransmitter receptors/transporters. Our findings revealed two distinct exhibiting divergent patterns analysis results confirmed robustness subtypes. Subtype 1 displayed significantly increased volume regions including frontal gyrus, precuneus, insula, hippocampus, parahippocampal amygdala, temporal while subtype 2 exhibited decreased superior parietal fusiform gyrus. When considering all collectively, nullified. The characterized by disease epicenters. Specifically, showed epicenters middle striatum, thalamus hippocampus. Furthermore, these offer novel nosology nature OCD.

Language: Английский

Citations

0
Major depressive disorder on a neuromorphic continuum DOI Creative Commons
Jiao Li, Zhiliang Long, Gong‐Jun Ji

et al.

Nature Communications, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 11, 2025

The heterogeneity of major depressive disorder (MDD) has hindered clinical translation and neuromarker identification. Biotyping facilitates solving the problems heterogeneity, by dissecting MDD patients into discrete subgroups. However, interindividual variations suggest that depression may be conceptualized as a "continuum," rather than "category." We use Bayesian model to decompose structural MRI features from multisite cross-sectional cohort three latent disease factors (spatial pattern) continuum factor compositions (individual expression). are associated with distinct neurotransmitter receptors/transporters obtained open PET sources. Increases cortical thickness in sensory decreases orbitofrontal cortices (Factor 1) associate norepinephrine 5-HT2A density, cingulo-opercular network subcortex 2) 5-HTT increases social affective brain systems 3) relate density. Disease patterns can also used predict symptom improvement longitudinal cohort. Moreover, individual expressions stable over time cohort, differentially expressed controls transdiagnostic Collectively, our data-driven reveal organize along continuous dimensions affect sets regions. Li et al. identify abnormalities using an unsupervised machine learning technique, quantify their expression level for each patient.

Language: Английский

Citations

0
Mitochondrial dynamics dysfunction: Unraveling the hidden link to depression DOI Open Access

Haiyang Chen,

Mei Lu,

Qin Lyu

et al.

Biomedicine & Pharmacotherapy, Journal Year: 2024, Volume and Issue: 175, P. 116656 - 116656

Published: April 27, 2024

Depression is a common mental disorder and its pathogenesis not fully understood. However, more evidence shows that mitochondrial dynamics dysfunction may play an important role in the occurrence development of depression. Mitochondria are centre energy production cells, also involved processes such as apoptosis oxidative stress. Studies have found there abnormalities function patients with depression, including morphological changes, disorders, DNA damage, impaired respiratory chain function. These cause excessive free radicals stress mitochondria, which further damage cells affect balance neurotransmitters, causing or aggravating depressive symptoms. shown participate depression by affecting neuroplasticity, inflammation neurotransmitters. This article reviews effects on potential molecular pathway. The restorers for treatment regulating were summarized possibility using biomarker was discussed.

Language: Английский

Citations

3
Elucidating genetic and molecular basis of altered higher-order brain structure-function coupling in major depressive disorder DOI Creative Commons
Haixia Long, Zihao Chen,

Xinli Xu

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 297, P. 120722 - 120722

Published: July 4, 2024

Previous studies have shown that major depressive disorder (MDD) patients exhibit structural and functional impairments, but few investigated changes in higher-order coupling between structure function. Here, we systematically the effect of MDD on connectivity (SC) (FC). Each brain region was mapped into embedding vector by node2vec algorithm. We used support machine (SVM) with to distinguish from health controls (HCs) identify most discriminative regions. Our study revealed had decreased connections regions local rich-club organization increased ventral attentional network limbic compared HCs. Interestingly, transcriptome-neuroimaging association analysis demonstrated correlations regional rSC-FC variations HCs α/β-hydrolase domain-containing 6 (ABHD6), β 1,3-N-acetylglucosaminyltransferase-9(β3GNT9), transmembrane protein 45B (TMEM45B), correlation dSC-FC retinoic acid early transcript 1E antisense RNA 1(RAET1E-AS1), iSC-FC ABHD6, β3GNT9, katanin-like 2 (KATNAL2). In addition, neurotransmitter receptor/transporter maps found were both correlated neuroendocrine transporter (NET) expression, metabotropic glutamate receptor 5 (mGluR5). Further mediation explored relationship genes, related variations. These findings indicate specific genetic molecular factors underpin observed disparities SC-FC confirmed SC FC plays an important role diagnosing MDD. The identification new biological evidence for etiology holds promise development innovative antidepressant therapies.

Language: Английский

Citations

3
The future of disentangling the heterogeneity of autism with neuroimaging studies DOI
Xujun Duan,

Xiaolong Shan,

Lucina Q. Uddin

et al.

Biological Psychiatry, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 1, 2024

Language: Английский

Citations

2
Twenty-five years of research on resting-state fMRI of major depressive disorder: A bibliometric analysis of hotspots, nodes, bursts, and trends DOI Creative Commons

Linhan Fu,

Mengjing Cai,

Yao Zhao

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33833 - e33833

Published: June 28, 2024

Major depressive disorder (MDD) is a debilitating mental health condition that poses significant risks and burdens. Resting-state functional magnetic resonance imaging (fMRI) has emerged as promising tool in investigating the neural mechanisms underlying MDD. However, comprehensive bibliometric analysis of resting-state fMRI MDD currently lacking. Here, we aimed to thoroughly explore trends frontiers research. The relevant publications were retrieved from Web Science database for period between 1998 2022, CiteSpace software was employed identify influence authors, institutions, countries/regions, latest research trends. A total 1501 met search criteria, revealing gradual increase number annual over years. China contributed largest publication output, accounting highest percentage among all countries. Particularly, University Electronic Technology China, Capital Medical University, Harvard School identified key institutions have made substantial contributions this growth. Neuroimage, Biological Psychiatry, Journal Affective Disorders, Proceedings National Academy Sciences United States America are influential journals field Burst keywords suggest emerging characterized by prominent such dynamic connectivity, cognitive control network, transcranial brain stimulation, childhood trauma. Overall, our study provides systematic overview into historical development, current status, future MDD, thus offering useful guide researchers plan their

Language: Английский

Citations

2
Individualized functional connectome abnormalities obtained using two normative model unveil neurophysiological subtypes of obsessive compulsive disorder DOI
Liang Liu, Dongyao Jia, Zihao He

et al.

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2024, Volume and Issue: 135, P. 111122 - 111122

Published: Aug. 22, 2024

Language: Английский

Citations

2
Cortical morphological changes and associated transcriptional signatures in post-traumatic stress disorder and psychological resilience DOI Creative Commons
Minlan Yuan,

Lun Li,

Hongru Zhu

et al.

BMC Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: Oct. 8, 2024

Individuals who have experienced severe traumatic events are estimated to a post-traumatic stress disorder (PTSD) prevalence rate ranging from 10 50%, while those not affected by trauma exposure often considered possess psychological resilience. However, the neural mechanisms underlying development of PTSD, especially resilience after trauma, remain unclear. This study aims investigate changes cortical morphometric similarity network (MSN) in PTSD and trauma-exposed healthy individuals (TEHI), as well associated molecular alterations gene expression, providing potential targets for prevention intervention PTSD.

Language: Английский

Citations

2
Brain connectivity and transcriptomic similarity inform abnormal morphometric similarity patterns in first-episode, treatment-naïve major depressive disorder DOI
Kaizhong Xue, Feng Liu,

Sixiang Liang

et al.

Journal of Affective Disorders, Journal Year: 2024, Volume and Issue: 370, P. 519 - 531

Published: Nov. 9, 2024

Language: Английский

Citations

2