Embracing variability in the search for biological mechanisms of psychiatric illness DOI Open Access
Ashlea Segal, Jeggan Tiego, Alexander Holmes

et al.

Published: June 25, 2024

Despite decades of research, we lack objective diagnostic or prognostic biomarkers mental health problems. A key reason for this limited progress is a reliance on the traditional case-control paradigm, which assumes that each disorder has single cause can be uncovered by comparing average phenotypic values cases and control samples. Here, discuss problematic assumptions paradigm based highlight recent efforts seek to characterize, rather than minimize, inherent clinical biological variability characterizes psychiatric populations. We argue embracing such will necessary understand pathophysiological mechanisms develop more targeted effective treatments.

Language: Английский

Robust estimation of cortical similarity networks from brain MRI DOI Creative Commons
Isaac Sebenius, Jakob Seidlitz, Varun Warrier

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(8), P. 1461 - 1471

Published: July 17, 2023

Abstract Structural similarity is a growing focus for magnetic resonance imaging (MRI) of connectomes. Here we propose Morphometric INverse Divergence (MIND), new method to estimate within-subject between cortical areas based on the divergence their multivariate distributions multiple MRI features. Compared prior approach morphometric networks (MSNs) n > 11,000 scans spanning three human datasets and one macaque dataset, MIND were more reliable, consistent with cytoarchitectonics symmetry correlated tract-tracing measures axonal connectivity. derived from T1-weighted sensitive age-related changes than MSNs or by tractography diffusion-weighted MRI. Gene co-expression was strongly coupled tractography. network phenotypes also heritable, especially edges structurally differentiated areas. analysis provides biologically validated lens connectomics using readily available data.

Language: Английский

Citations

47

Homotopic functional connectivity disruptions in schizophrenia and their associated gene expression DOI Creative Commons

Mengjing Cai,

Yuan Ji,

Qiyu Zhao

et al.

NeuroImage, Journal Year: 2024, Volume and Issue: 289, P. 120551 - 120551

Published: Feb. 20, 2024

It has been revealed that abnormal voxel-mirrored homotopic connectivity (VMHC) is present in patients with schizophrenia, yet there are inconsistencies the relevant findings. Moreover, little known about their association brain gene expression profiles. In this study, transcription-neuroimaging analyses using data from Allen Human Brain Atlas and case-control VMHC differences both discovery (meta-analysis, including 9 studies a total of 386 357 controls) replication (separate group-level comparisons within two datasets, 258 287 phases were performed to identify genes associated alterations. Enrichment conducted characterize biological functions specific identified genes, Neurosynth decoding analysis was examine correlation between cognitive-related processes alterations schizophrenia. phases, schizophrenia exhibited consistent changes compared controls, which correlated series processes; meta-regression illness duration negatively abnormalities cerebellum postcentral/precentral gyrus. The patterns stably 1287 enriched for fundamental like regulation cell communication, nervous system development, communication. addition, these overexpressed astrocytes immune cells, extensive cortical regions wide developmental time windows. findings may contribute more comprehensive understanding molecular mechanisms underlying

Language: Английский

Citations

19

Spatial transcriptomic patterns underlying amyloid-β and tau pathology are associated with cognitive dysfunction in Alzheimer’s disease DOI Creative Commons
Meichen Yu, Shannon L. Risacher, Kwangsik Nho

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(2), P. 113691 - 113691

Published: Jan. 21, 2024

Amyloid-β (Aβ) and tau proteins accumulate within distinct neuronal systems in Alzheimer's disease (AD). Although it is not clear why certain brain regions are more vulnerable to Aβ pathologies than others, gene expression may play a role. We study the association between brain-wide profiles regional vulnerability (gene-to-Aβ associations) (gene-to-tau by leveraging two large independent AD cohorts. identify susceptibility genes modules co-expression network with specifically related AD. In addition, we biochemical pathways associated gene-to-Aβ gene-to-tau associations. These findings explain discordance pathologies. Finally, propose an analytic framework, linking identified gene-to-pathology associations cognitive dysfunction at individual level, suggesting potential clinical implication of

Language: Английский

Citations

10

Neuroanatomical and functional substrates of the short video addiction and its association with brain transcriptomic and cellular architecture DOI Creative Commons

Yuanyuan Gao,

Ying Hu,

Jinlian Wang

et al.

NeuroImage, Journal Year: 2025, Volume and Issue: 307, P. 121029 - 121029

Published: Jan. 17, 2025

Language: Английский

Citations

1

The cell-type underpinnings of the human functional cortical connectome DOI
Xi-Han Zhang,

Kevin M. Anderson,

Hao-Ming Dong

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 21, 2024

Language: Английский

Citations

7

Omics approaches open new horizons in major depressive disorder: from biomarkers to precision medicine DOI Creative Commons

Fabiola Stolfi,

Hugo Abreu,

Riccardo Sinella

et al.

Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15

Published: June 13, 2024

Major depressive disorder (MDD) is a recurrent episodic mood that represents the third leading cause of disability worldwide. In MDD, several factors can simultaneously contribute to its development, which complicates diagnosis. According practical guidelines, antidepressants are first-line treatment for moderate severe major episodes. Traditional strategies often follow one-size-fits-all approach, resulting in suboptimal outcomes many patients who fail experience response or recovery and develop so-called “therapy-resistant depression”. The high biological clinical inter-variability within lack robust biomarkers hinder finding specific therapeutic targets, contributing failure rates. this frame, precision medicine, paradigm tailors medical interventions individual characteristics, would help allocate most adequate effective each patient while minimizing side effects. particular, multi-omic studies may unveil intricate interplays between genetic predispositions exposure environmental through study epigenomics, transcriptomics, proteomics, metabolomics, gut microbiomics, immunomics. integration flow information into molecular pathways produce better than current psychopharmacological targets singular mainly related monoamine systems, disregarding complex network our organism. concept system biomedicine involves analysis enormous datasets generated with different technologies, creating “patient fingerprint”, defines underlying mechanisms every patient. This review, centered on explores approaches as tools prediction MDD at single-patient level. It investigates how combining existing technologies used diagnostic, stratification, prognostic, treatment-response discovery artificial intelligence improve assessment MDD.

Language: Английский

Citations

6

Shared genetic architecture of cortical thickness alterations in major depressive disorder and schizophrenia DOI
He Wang,

Qiyu Zhao,

Yijing Zhang

et al.

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2024, Volume and Issue: 135, P. 111121 - 111121

Published: Aug. 22, 2024

Language: Английский

Citations

6

Mitochondrial function-associated genes underlie cortical atrophy in prodromal synucleinopathies DOI Creative Commons
Shady Rahayel,

Christina Tremblay,

Andrew Vo

et al.

Brain, Journal Year: 2023, Volume and Issue: 146(8), P. 3301 - 3318

Published: Feb. 24, 2023

Isolated rapid eye movement sleep behaviour disorder (iRBD) is a characterized by the loss of muscle atonia and appearance abnormal movements vocalizations during sleep. It strong marker incipient synucleinopathy such as dementia with Lewy bodies Parkinson's disease. Patients iRBD already show brain changes that are reminiscent manifest synucleinopathies including atrophy. However, mechanisms underlying development this atrophy remain poorly understood. In study, we performed cutting-edge imaging transcriptomics comprehensive spatial mapping analyses in multicentric cohort 171 polysomnography-confirmed patients [67.7 ± 6.6 (49-87) years; 83% men] 238 healthy controls [66.6 7.9 (41-88) 77% T1-weighted MRI to investigate gene expression connectivity patterns associated cortical thickness surface area iRBD. Partial least squares regression was identify Gene set enrichment analysis virtual histology were then done assess biological processes, cellular components, human disease terms, cell types enriched these patterns. We used structural functional neighbourhood whether constrained brain's connectome. Moreover, specific neurotransmitter systems, networks, cytoarchitectonic classes, cognitive systems All comparisons tested against null models preserved autocorrelation between regions compared Alzheimer's specificity findings synucleinopathies. found genes involved mitochondrial function macroautophagy strongest contributors thinning occurring demonstrated connectome it mapped onto networks motor planning functions. contrast thickness, related distinct genes, namely inflammatory response, different The all from those observed summary, study demonstrates networks.

Language: Английский

Citations

16

A systematic review of neuroimaging epigenetic research: calling for an increased focus on development DOI Creative Commons
Esther Walton, Vilte Baltramonaityte, Vince D. Calhoun

et al.

Molecular Psychiatry, Journal Year: 2023, Volume and Issue: 28(7), P. 2839 - 2847

Published: April 25, 2023

Abstract Epigenetic mechanisms, such as DNA methylation (DNAm), have gained increasing attention potential biomarkers and mechanisms underlying risk for neurodevelopmental, psychiatric other brain-based disorders. Yet, surprisingly little is known about the extent to which DNAm linked individual differences in brain itself, how these associations may unfold across development – a time of life when many disorders emerge. Here, we systematically review evidence from nascent field Neuroimaging Epigenetics, combining structural or functional neuroimaging measures with DNAm, developmental period (birth adolescence) represented studies. We identified 111 articles published between 2011–2021, out only minority (21%) included samples under 18 years age. Most studies were cross-sectional (85%), employed candidate-gene approach (67%), examined DNAm-brain context health behavioral outcomes (75%). Nearly half incorporated genetic data, fourth investigated environmental influences. Overall, support link peripheral imaging measures, but there consistency specific findings it remains unclear whether markers present cause, correlate consequence alterations. large heterogeneity sample characteristics, tissue outcome well methods used. Sample sizes generally low moderate (median n all = 98, 80), attempts at replication meta-analysis rare. Based on strengths weaknesses existing studies, propose three recommendations advance Epigenetics. advocate for: (1) greater focus developmentally oriented research (i.e. pre-birth adolescence); (2) analysis large, prospective, pediatric cohorts repeated assess directionality; (3) collaborative, interdisciplinary science identify robust signals, triangulate enhance translational potential.

Language: Английский

Citations

15

Multi-centre analysis of networks and genes modulated by hypothalamic stimulation in patients with aggressive behaviours DOI Creative Commons
Flavia Venetucci Gouveia, Jürgen Germann, Gavin J.B. Elias

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: May 22, 2023

Deep brain stimulation targeting the posterior hypothalamus (pHyp-DBS) is being investigated as a treatment for refractory aggressive behavior, but its mechanisms of action remain elusive. We conducted an integrated imaging analysis large multi-centre dataset, incorporating volume activated tissue modeling, probabilistic mapping, normative connectomics, and atlas-derived transcriptomics. Ninety-one percent patients responded positively to treatment, with more striking improvement recorded in pediatric population. Probabilistic mapping revealed optimized surgical target within posterior-inferior-lateral region hypothalamic area. Normative connectomic analyses identified fiber tracts functionally connected areas associated sensorimotor function, emotional regulation, monoamine production. Functional connectivity between target, periaqueductal gray key limbic - together patient age were highly predictive outcome. Transcriptomic showed that genes involved neuronal communication, plasticity neuroinflammation might underlie this functional network.

Language: Английский

Citations

12