Multi-echo Acquisition and Thermal Denoising Advances Infant Precision Functional Imaging DOI Creative Commons
Julia Moser, Scott M. Nelson, Sanju Koirala

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 1, 2023

The characterization of individual functional brain organization with Precision Functional Mapping has provided important insights in recent years adults. However, little is known about the ontogeny inter-individual differences during human development. Precise systems periods high plasticity likely to be essential for discoveries promoting lifelong health. Obtaining precision fMRI data development unique challenges that highlight importance establishing new methods improve acquisition, processing, and analysis. Here, we investigate two can facilitate attaining this goal: multi-echo (ME) acquisition thermal noise removal Noise Reduction Distribution Corrected (NORDIC) principal component We applied these from adults, children, newborn infants. In both ME acquisitions NORDIC increased temporal signal ratio (tSNR) as well split-half reliability connectivity matrices, combination helping more than either technique alone. benefits denoising replicated our developmental samples. revealed longer variable T2* relaxation times across infants relative older children leading major echo weighting optimally combining data. This result suggests may a promising tool optimizing fMRI, albeit application needs further investigation. present work showcases methodological advances adults populations and, at same time, highlights need improvements infant specific fMRI.

Language: Английский

A precision functional atlas of personalized network topography and probabilities DOI Creative Commons
Robert Hermosillo, Lucille A. Moore, Eric Feczko

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(5), P. 1000 - 1013

Published: March 26, 2024

Abstract Although the general location of functional neural networks is similar across individuals, there vast person-to-person topographic variability. To capture this, we implemented precision brain mapping magnetic resonance imaging methods to establish an open-source, method-flexible set network atlases—the Masonic Institute for Developing Brain (MIDB) Precision Atlas. This atlas evolving resource comprising 53,273 individual-specific maps, from more than 9,900 ages and cohorts, including Adolescent Cognitive Development study, Developmental Human Connectome Project others. We also generated probabilistic maps multiple integration zones (using a new overlapping technique, Overlapping MultiNetwork Imaging). Using regions high invariance improved reproducibility executive function statistical in brain-wide associations compared group average-based parcellations. Finally, provide potential use case targeted neuromodulation. The expandable alternative datasets with online interface encouraging scientific community explore contribute understanding human precisely.

Language: Английский

Citations

24
The promise of a model-based psychiatry: building computational models of mental ill health DOI Creative Commons
Tobias U. Hauser, Vasilisa Skvortsova, Munmun De Choudhury

et al.

The Lancet Digital Health, Journal Year: 2022, Volume and Issue: 4(11), P. e816 - e828

Published: Oct. 10, 2022

Summary

Computational models have great potential to revolutionise psychiatry research and clinical practice. These are now used across multiple subfields, including computational precision psychiatry. Their goals vary from understanding mechanisms underlying disorders deriving reliable classification personalised predictions. Rapid growth of new tools data sources (eg, digital data, gamification, social media) requires an the constraints advantages different modelling approaches in In this Series paper, we take a critical look at range that evaluate their disadvantages for purposes sources. We describe mechanism-driven mechanism-agnostic discuss how interpretability is crucial translation. Based on these evaluations, provide recommendations build clinically useful.

Language: Английский

Citations

55
Computing personalized brain functional networks from fMRI using self-supervised deep learning DOI Creative Commons
Hongming Li,

Dhivya Srinivasan,

Chuanjun Zhuo

et al.

Medical Image Analysis, Journal Year: 2023, Volume and Issue: 85, P. 102756 - 102756

Published: Jan. 21, 2023

Language: Английский

Citations

29
Development of top-down cortical propagations in youth DOI
Adam Pines, Arielle S. Keller, Bart Larsen

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(8), P. 1316 - 1330.e5

Published: Feb. 17, 2023

Language: Английский

Citations

24
Expansion of a frontostriatal salience network in individuals with depression DOI Open Access
Charles J. Lynch, Immanuel Elbau, Tommy Ng

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 14, 2023

SUMMARY Hundreds of neuroimaging studies spanning two decades have revealed differences in brain structure and functional connectivity depression, but with modest effect sizes, complicating efforts to derive mechanistic pathophysiologic insights or develop biomarkers. 1 Furthermore, although depression is a fundamentally episodic condition, few taken longitudinal approach, which critical for understanding cause delineating mechanisms that drive mood state transitions over time. The emerging field precision mapping using densely-sampled data has unexpected, functionally meaningful individual network topology healthy individuals, 2–5 these approaches never been applied individuals depression. Here, techniques 11 datasets comprising n=187 repeatedly sampled >21,000 minutes fMRI data, we show the frontostriatal salience expanded two-fold most This was replicable multiple samples, including large-scale, group-average (N=1,231 subjects), caused primarily by border shifts affecting specific systems, three distinct modes encroachment occurring different individuals. Salience expansion unexpectedly stable time, unaffected changes state, detectable children before subsequent onset depressive symptoms adolescence. Longitudinal analyses scanned up 62 times 1.5 years identified circuits tracked fluctuations symptom domains predicted future anhedonia they emerged. Together, findings identify trait-like may confer risk mood-state dependent predict emergence remission

Language: Английский

Citations

15
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study DOI Creative Commons
Zhen Zhou, Hongming Li, Dhivya Srinivasan

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 269, P. 119911 - 119911

Published: Jan. 30, 2023

To learn multiscale functional connectivity patterns of the aging brain, we built a brain age prediction model measures at seven scales on large fMRI dataset, consisting resting-state scans 4186 individuals with wide range (22 to 97 years, an average 63) from five cohorts. We computed individual subjects using personalized network computational method, harmonized multiple datasets in order build model, and finally evaluated how gap correlated cognitive subjects. Our study has revealed that were more informative than those any single scale for prediction, data harmonization significantly improved performance, measures' tangent space worked better their original space. Moreover, scores derived clinical measures. Overall, these results demonstrated learned large-scale multi-site rsfMRI dataset characterizing was associated

Language: Английский

Citations

14
How do tasks impact the reliability of fMRI functional connectivity? DOI Creative Commons
Shefali Rai, Kirk Graff, Ryann Tansey

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(3)

Published: Feb. 13, 2024

Abstract While there is growing interest in the use of functional magnetic resonance imaging‐functional connectivity (fMRI‐FC) for biomarker research, low measurement reliability conventional acquisitions may limit applications. Factors known to impact FC include scan length, head motion, signal properties, such as temporal signal‐to‐noise ratio (tSNR), and acquisition state or task. As tasks a region‐wise fashion, they likely differently across brain, making task an important decision study design. Here, we densely sampled Midnight Scan Club (MSC) dataset, comprising 5 h rest 6 fMRI data 10 healthy adults, investigate regional effects on reliability. We further considered how BOLD properties contributing tSNR, that is, mean (tMean) standard deviation (tSD), vary associate with reliability, are modulated by tasks. found that, relative rest, enhanced increased tSD specific task‐engaged regions. However, variability broadly dampened during outside From our analyses, observed was strongest driver Overall, findings suggest choice can have should be relation maximizing networks part

Language: Английский

Citations

6
The promise of precision functional mapping for neuroimaging in psychiatry DOI
Damion V. Demeter, Deanna J. Greene

Neuropsychopharmacology, Journal Year: 2024, Volume and Issue: 50(1), P. 16 - 28

Published: July 31, 2024

Language: Английский

Citations

6
Beyond the uniform creative brain: Inter-individual variability in functional connectivity correlates with creativity DOI

Junchao Li,

Ruiwang Huang, Ming Liu

et al.

Neuroscience, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
A NEUROANATOMIA FUNCIONAL E NOVAS PERSPECTIVAS PARA PSIQUIATRIA INFANTIL: UMA REVISÃO SISTEMÁTICA DOI Open Access
Ana Mendes,

Lara Stephanie Profiro de Matos,

Mariana Oliveira Dumont Vieira

et al.

Revista Foco, Journal Year: 2025, Volume and Issue: 18(3), P. e7900 - e7900

Published: March 5, 2025

INTRODUÇÃO: O diagnóstico das psicopatologias é baseado em aspectos clínicos e autorreferidos bastante heterogêneos inespecíficos, sendo um desafio sobretudo na psiquiatria infantil. Diante disso, muitas pesquisas buscam, através da neuroanatomia funcional, critérios objetivos que colaborem prática clínica. OBJETIVO: Reunir estudos exploram a aplicabilidade funcional distúrbios neuropsiquiátricos MÉTODO: Selecionou-se artigos nas bases de dados PubMed, BVS SCIELO, seguindo os PRISMA conforme elegibilidade: disponibilidade integralmente plataforma digital, originais, datados entre 2019 2023. RESULTADOS: Foram selecionados 17 após aplicação dos elegibilidade, retirada duplicatas avaliação, partir leitura títulos, resumos texto completo com maior ênfase relação nos infância adolescência. DISCUSSÃO: Embora muitos contribuam para compreensão inspirem seu uso clínico, esses ainda apresentam grandes desafios fundamentação seus resultados. CONCLUSÃO: A colabora o entendimento promove novas perspectivas infantil ao possibilitar aprimoramento tratamento individualizado.

Citations

0