Molecular signatures of cortical expansion in the human foetal brain DOI Creative Commons
Gareth Ball, Stuart Oldham, Vanessa Kyriakopoulou

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Nov. 8, 2024

Abstract The third trimester of human gestation is characterised by rapid increases in brain volume and cortical surface area. Recent studies have revealed a remarkable molecular diversity across the prenatal cortex but little known about how this translates into differential rates expansion observed during gestation. We present digital resource, μBrain, to facilitate knowledge translation between anatomical descriptions brain. Using we evaluate signatures preferentially-expanded regions, quantified utero using magnetic resonance imaging. Our findings demonstrate spatial coupling areal differences timing neurogenesis neocortical identify genes, upregulated from mid-gestation, that are highly expressed rapidly expanding neocortex implicated genetic disorders with cognitive sequelae. μBrain atlas provides tool comprehensively map early development domains, model systems resolution scales.

Language: Английский

Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study DOI Creative Commons
Foivos Georgiadis, Sara Larivière, David C. Glahn

et al.

Molecular Psychiatry, Journal Year: 2024, Volume and Issue: 29(6), P. 1869 - 1881

Published: Feb. 9, 2024

Abstract Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying layout. We tested large-scale structural in schizophrenia relate to normative and functional connectome architecture, systematically evaluated robustness generalizability of network-level alterations. Leveraging anatomical MRI scans from 2439 adults 2867 healthy controls 26 ENIGMA sites data Human Connectome Project ( n = 207), we against two susceptibility models: (i) hub vulnerability, which examines associations between regional centrality magnitude disease-related alterations; (ii) epicenter mapping, identifies regions whose typical connectivity profile most closely resembles morphological To assess specificity, contextualized influence site, disease stages, individual clinical factors compared that found affective disorders. Our findings show schizophrenia-related cortical thinning spatially associated hubs, suggesting highly interconnected are more vulnerable Predominantly temporo-paralimbic frontal emerged as epicenters profiles linked schizophrenia’s alteration patterns. Findings were robust across sites, related symptoms. Moreover, transdiagnostic comparisons revealed overlapping bipolar, but not major depressive disorder, suggestive pathophysiological continuity within schizophrenia-bipolar-spectrum. In sum, over course follow brain emphasizing marked temporo-frontal at both level group individual. Subtle variations stages suggest interacting pathological processes, while patient-specific symptoms support additional inter-individual variability vulnerability schizophrenia. work outlines potential pathways better understand macroscale inter-

Language: Английский

Citations

20
Towards a biologically annotated brain connectome DOI
Vincent Bazinet, Justine Y. Hansen, Bratislav Mišić

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(12), P. 747 - 760

Published: Oct. 17, 2023

Language: Английский

Citations

39
Network-Based Spreading of Gray Matter Changes Across Different Stages of Psychosis DOI
Sidhant Chopra, Ashlea Segal, Stuart Oldham

et al.

JAMA Psychiatry, Journal Year: 2023, Volume and Issue: 80(12), P. 1246 - 1246

Published: Sept. 20, 2023

Psychotic illness is associated with anatomically distributed gray matter reductions that can worsen progression, but the mechanisms underlying specific spatial patterning of these changes unknown.

Language: Английский

Citations

32
Integrating multimodal and multiscale connectivity blueprints of the human cerebral cortex in health and disease DOI Creative Commons
Justine Y. Hansen, Golia Shafiei, Katharina Voigt

et al.

PLoS Biology, Journal Year: 2023, Volume and Issue: 21(9), P. e3002314 - e3002314

Published: Sept. 25, 2023

The brain is composed of disparate neural populations that communicate and interact with one another. Although fiber bundles, similarities in molecular architecture, synchronized activity all reflect how regions potentially another, a comprehensive study these interregional relationships jointly structure function remains missing. Here, we systematically integrate 7 multimodal, multiscale types similarity ("connectivity modes") derived from gene expression, neurotransmitter receptor density, cellular morphology, glucose metabolism, haemodynamic activity, electrophysiology humans. We first show for connectivity modes, feature decreases distance increases when are structurally connected. Next, modes exhibit unique diverse connection patterns, hub profiles, spatial gradients, modular organization. Throughout, observe consistent primacy modes-namely correlated expression similarity-that map onto multiple phenomena, including the rich club patterns abnormal cortical thickness across 13 neurological, psychiatric, neurodevelopmental disorders. Finally, to construct single multimodal wiring human cortex, fuse fused network maps major organizational features cortex structural connectivity, intrinsic functional networks, cytoarchitectonic classes. Altogether, this work contributes integrative cerebral cortex.

Language: Английский

Citations

27
Where do neurodevelopmental conditions fit in transdiagnostic psychiatric frameworks? Incorporating a new neurodevelopmental spectrum DOI
Giorgia Michelini, Christina Carlisi, Nicholas R. Eaton

et al.

World Psychiatry, Journal Year: 2024, Volume and Issue: 23(3), P. 333 - 357

Published: Sept. 16, 2024

Features of autism spectrum disorder, attention‐deficit/hyperactivity learning disorders, intellectual disabilities, and communication motor disorders usually emerge early in life are associated with atypical neurodevelopment. These “neurodevelopmental conditions” grouped together the DSM‐5 ICD‐11 to reflect their shared characteristics. Yet, reliance on categorical diagnoses poses significant challenges both research clinical settings (e.g., high co‐occurrence, arbitrary diagnostic boundaries, within‐disorder heterogeneity). Taking a transdiagnostic dimensional approach provides useful alternative for addressing these limitations, accounting underpinnings across neurodevelopmental conditions, characterizing common co‐occurrence developmental continuity other psychiatric conditions. Neurodevelopmental features have not been adequately considered frameworks, although this would fundamental implications practices. Growing evidence from studies structure conditions indicates that cluster together, delineating spectrum” ranging normative impairing profiles. Studies genetic underpinnings, overlapping cognitive neural profiles, similar course efficacy support/treatment strategies indicate validity spectrum. Further, alongside dimensions has utility, as it fuller view an individual's needs strengths, greater prognostic utility than categories. Based compelling body evidence, we argue incorporating new into frameworks considerable potential transforming our understanding, classification, assessment, practices around

Language: Английский

Citations

13
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community DOI
Jessica Royer, Casey Paquola, Sofie L. Valk

et al.

Neuroinformatics, Journal Year: 2024, Volume and Issue: unknown

Published: April 3, 2024

Language: Английский

Citations

10
Probing Autism and ADHD subtypes using cortical signatures of the T1w/T2w-ratio and morphometry DOI Creative Commons
Linn B. Norbom, Bilal Syed, Rikka Kjelkenes

et al.

NeuroImage Clinical, Journal Year: 2025, Volume and Issue: 45, P. 103736 - 103736

Published: Jan. 1, 2025

Autism spectrum disorder (ASD) and attention-deficit/hyperactivity (ADHD) are neurodevelopmental conditions that share genetic etiology frequently co-occur. Given this comorbidity well-established clinical heterogeneity, identifying individuals with similar brain signatures may be valuable for predicting outcomes tailoring treatment strategies. Cortical myelination is a prominent developmental process, its disruption candidate mechanism both disorders. Yet, no studies have attempted to identify subtypes using T1w/T2w-ratio, magnetic resonance imaging (MRI) based proxy intracortical myelin. Moreover, cortical variability arises from numerous biological pathways, multimodal approaches can integrate metrics into single network. We analyzed data 310 aged 2.6-23.6 years, obtained the Province of Ontario Neurodevelopmental (POND) Network consisting diagnosed ASD (n = 136), ADHD 100), typically developing (TD) 74). first tested differences in T1w/T2w-ratio between diagnostic categories controls. then performed unimodal (T1w/T2w-ratio) (T1w/T2w-ratio, thickness, surface area) spectral clustering diagnostic-blind subgroups. Linear models revealed statistically significant case-control T1w/T2w-ratio. Unimodal mostly isolated individual- or minority clusters, driven by image quality intensity outliers. Multimodal suggested three distinct subgroups, which transcended boundaries, showing separate patterns but cognitive profiles. features were most relevant demarcation, followed area. While our analysis differences, incorporating among holds promise biologically subsets conditions.

Language: Английский

Citations

1
Common neuroanatomical differential factors underlying heterogeneous gray matter volume variations in five common psychiatric disorders DOI Creative Commons
Shaoqiang Han,

Ya Qiang Tian,

Ruiping Zheng

et al.

Communications Biology, Journal Year: 2025, Volume and Issue: 8(1)

Published: Feb. 14, 2025

Multifaceted evidence has shown that psychiatric disorders share common neurobiological mechanisms. However, the tremendous inter-individual heterogeneity among patients with limits trans-diagnostic studies case-control designs, aimed at identifying clinically promising neuroimaging biomarkers. This study aims to identify neuroanatomical differential factors (ND factors) underlying gray matter volume variations in five disorders. We leverage 4 independent datasets of 878 diagnosed and 585 healthy controls (HCs) shared ND individualized variations. Individualized are represented linear weighted sum factors, each case is assigned a unique factor composition, thus preserving interindividual variation. four robust can be generalized unseen show significant association group-level morphological abnormalities, reconciling individual- characterized by dissociable cognitive processes, molecular signatures, connectome-informed epicenters. Moreover, using compositions as features, we discover two transdiagnostic subtypes opposite relative HCs. In conclusion, reproducible underlie highly heterogeneous abnormalities Shared explain These

Language: Английский

Citations

1
Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people DOI Creative Commons
Rebecca Cooper, Rebecca A. Hayes, Mary Corcoran

et al.

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

Published: Feb. 23, 2024

Portable low-field-strength magnetic resonance imaging (MRI) systems represent a promising alternative to traditional high-field-strength with the potential make MR technology available at scale in low-resource settings. However, lower image quality and resolution may limit research clinical of these devices. We tested two super-resolution methods enhance low-field system compared their correspondence images acquired from high-field sample young people.

Language: Английский

Citations

7
Tau follows principal axes of functional and structural brain organization in Alzheimer’s disease DOI Creative Commons
Julie Ottoy, Min Su Kang,

Jazlynn Xiu Min Tan

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 12, 2024

Abstract Alzheimer’s disease (AD) is a brain network disorder where pathological proteins accumulate through networks and drive cognitive decline. Yet, the role of connectivity in facilitating this accumulation remains unclear. Using in-vivo multimodal imaging, we show that distribution tau reactive microglia humans follows spatial patterns variation, so-called gradients organization. Notably, less distinct (“gradient contraction”) are associated with decline regions greater tau, suggesting an interaction between reduced differentiation on cognition. Furthermore, by modeling subject-specific gradient space, demonstrate frontoparietal temporo-occipital cortices baseline within their functionally structurally connected hubs, respectively. Our work unveils for both functional structural organization pathology AD, supports space as promising tool to map progression.

Language: Английский

Citations

7