Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium DOI Creative Commons
Yicheng Long, Hengyi Cao, Chao‐Gan Yan

и другие.

NeuroImage Clinical, Год журнала: 2020, Номер 26, С. 102163 - 102163

Опубликована: Янв. 1, 2020

Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed characterize using a large multi-site sample novel network-based approach. Resting-state magnetic resonance imaging (fMRI) data were acquired from total 460 473 healthy controls, as part REST-meta-MDD consortium. networks constructed for each subject sliding-window Multiple spatio-temporal networks, including temporal variability, clustering efficiency, then compared between subjects at both global local levels. The group showed significantly higher lower correlation coefficient (indicating decreased clustering) shorter characteristic path length increased efficiency) controls (corrected p < 3.14×10−3). Corresponding changes mainly found default-mode, sensorimotor subcortical areas. Measures variability correlated depression severity 0.05). Moreover, observed between-group differences robustly present first-episode, drug-naïve (FEDN) non-FEDN patients. Our findings suggest that excessive variations FC, reflecting abnormal communications large-scale bran over time, may underlie neuropathology MDD.

Язык: Английский

A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis DOI Creative Commons
Stephanie Noble, Dustin Scheinost, R. Todd Constable

и другие.

NeuroImage, Год журнала: 2019, Номер 203, С. 116157 - 116157

Опубликована: Сен. 5, 2019

Once considered mere noise, fMRI-based functional connectivity has become a major neuroscience tool in part due to early studies demonstrating its reliability. These fundamental revealed only the tip of iceberg; over past decade, many test-retest reliability have continued add nuance our understanding this complex topic. A summary these diverse and at times contradictory perspectives is needed. We aimed summarize existing knowledge regarding most basic unit analysis: individual edge level. This entailed (1) meta-analytic estimate (2) review factors influencing search Scopus was conducted identify that estimated edge-level To facilitate comparisons across studies, eligibility restricted measuring via intraclass correlation coefficient (ICC). The meta-analysis included random effects pooled mean ICC, with nested within datasets. narrative ICC. From an initial pool 212 44 were identified for qualitative 25 quantitative meta-analysis. On average, edges exhibited "poor" ICC 0.29 (95% CI = 0.23 0.36). reliable measurements tended involve: stronger, within-network, cortical edges, eyes open, awake, active recordings, (3) more within-subject data, (4) shorter intervals, (5) no artifact correction (likely artifact), (6) full correlation-based shrinkage. study represents first systematic investigating connectivity. Key findings suggest there room improvement, but care should be taken avoid promoting expense validity. By pooling key facet accuracy, supports broader efforts improve inferences field.

Язык: Английский

Процитировано

520
Quantitative assessment of structural image quality DOI
Adon F.G. Rosen, David R. Roalf, Kosha Ruparel

и другие.

NeuroImage, Год журнала: 2017, Номер 169, С. 407 - 418

Опубликована: Дек. 24, 2017

Язык: Английский

Процитировано

398
Cerebellar-Prefrontal Network Connectivity and Negative Symptoms in Schizophrenia DOI Open Access
Roscoe O. Brady,

Irene Gonsalvez,

Ivy Lee

и другие.

American Journal of Psychiatry, Год журнала: 2019, Номер 176(7), С. 512 - 520

Опубликована: Янв. 30, 2019

The interpretability of results in psychiatric neuroimaging is significantly limited by an overreliance on correlational relationships. Purely studies cannot alone determine whether behavior-imaging relationships are causal to illness, functionally compensatory processes, or purely epiphenomena. Negative symptoms (e.g., anhedonia, amotivation, and expressive deficits) refractory current medications among the foremost causes disability schizophrenia. authors used a two-step approach identifying then empirically testing brain network model schizophrenia symptoms.In first cohort (N=44), data-driven resting-state functional connectivity analysis was identify with that corresponds negative symptom severity. In second (N=11), this modulated 5 days twice-daily transcranial magnetic stimulation (TMS) cerebellar midline.A breakdown specific dorsolateral prefrontal cortex-to-cerebellum directly corresponded Restoration TMS amelioration symptoms, showing statistically significant strong relationship change response change.These demonstrate between cerebellum right cortex associated severity correction ameliorates severity, supporting novel hypothesis for medication-refractory suggesting manipulation may establish markers clinical phenomena.

Язык: Английский

Процитировано

329
The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features DOI Creative Commons
Zaixu Cui, Gaolang Gong

NeuroImage, Год журнала: 2018, Номер 178, С. 622 - 637

Опубликована: Июнь 2, 2018

Язык: Английский

Процитировано

319
Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes DOI Open Access
Xiao Chen, Bin Lu, Chao‐Gan Yan

и другие.

Human Brain Mapping, Год журнала: 2017, Номер 39(1), С. 300 - 318

Опубликована: Окт. 11, 2017

Abstract Concerns regarding reproducibility of resting‐state functional magnetic resonance imaging (R‐fMRI) findings have been raised. Little is known about how to operationally define R‐fMRI and what extent it affected by multiple comparison correction strategies sample size. We comprehensively assessed two aspects reproducibility, test–retest reliability replicability, on widely used metrics in both between‐subject contrasts sex differences within‐subject comparisons eyes‐open eyes‐closed (EOEC) conditions. noted permutation test with Threshold‐Free Cluster Enhancement (TFCE), a strict strategy, reached the best balance between family‐wise error rate (under 5%) reliability/replicability (e.g., 0.68 for 0.25 replicability amplitude low‐frequency fluctuations (ALFF) differences, 0.49 ALFF EOEC differences). Although indices attained moderate reliabilities, they replicated poorly distinct datasets (replicability < 0.3 0.5 By randomly drawing different sizes from single site, we found reliability, sensitivity positive predictive value (PPV) rose as size increased. Small 80 [40 per group]) not only minimized power (sensitivity 2%), but also decreased likelihood that significant results reflect “true” effects (PPV 0.26) differences. Our implications select highlight importance sufficiently large studies enhance reproducibility. Hum Brain Mapp 39:300–318, 2018 . © 2017 Wiley Periodicals, Inc.

Язык: Английский

Процитировано

293
RESTplus: an improved toolkit for resting-state functional magnetic resonance imaging data processing DOI
Xize Jia, Jue Wang,

Haiyang Sun

и другие.

Science Bulletin, Год журнала: 2019, Номер 64(14), С. 953 - 954

Опубликована: Май 13, 2019

Язык: Английский

Процитировано

270
A Hitchhiker's Guide to Functional Magnetic Resonance Imaging DOI Creative Commons
José Miguel Soares, Ricardo Magalhães, Pedro Silva Moreira

и другие.

Frontiers in Neuroscience, Год журнала: 2016, Номер 10

Опубликована: Ноя. 10, 2016

Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular both with clinicians and researchers as they are capable of providing unique insights into brain functions. However, multiple technical considerations (ranging from specifics paradigm design to imaging artifacts, complex protocol definition, multitude processing methods analysis, well intrinsic methodological limitations) must be considered addressed in order optimize fMRI analysis arrive at the most accurate grounded interpretation data. In practice, researcher/clinician choose, many available options, suitable software tool for each stage pipeline. Herein we provide a straightforward guide designed address, major stages, techniques, tools involved process. We developed this help those new technique overcome critical difficulties its use, serve resource neuroimaging community.

Язык: Английский

Процитировано

226
More than just statics: temporal dynamics of intrinsic brain activity predicts the suicidal ideation in depressed patients DOI
Jian Li, Xujun Duan, Qian Cui

и другие.

Psychological Medicine, Год журнала: 2018, Номер 49(5), С. 852 - 860

Опубликована: Июнь 18, 2018

Abstract Background Major depressive disorder (MDD) is associated with high risk of suicide. Conventional neuroimaging works showed abnormalities static brain activity and connectivity in MDD suicidal ideation (SI). However, little known regarding alterations dynamics. More broadly, it remains unclear whether temporal dynamics the could predict prognosis SI. Methods We included patients ( n = 48) without SI age-, gender-, education-matched healthy controls 30) who underwent resting-state functional magnetic resonance imaging. first assessed dynamic amplitude low-frequency fluctuation (dALFF) – a proxy for intrinsic (iBA) using sliding-window analysis. Furthermore, variability (dynamics) iBA was quantified as variance dALFF over time. In addition, prediction severity from conducted general linear model. Results Compared SI, group decreased (less variability) dorsal anterior cingulate cortex, left orbital frontal inferior gyrus, hippocampus. Importantly, these variabilities be used to r 0.43, p 0.03), whereas ALFF not current data set. Conclusions These findings suggest that regions involved executive emotional processing are patients. This novel predictive model useful developing neuromarkers clinical applications.

Язык: Английский

Процитировано

179
Mind-body exercise improves cognitive function and modulates the function and structure of the hippocampus and anterior cingulate cortex in patients with mild cognitive impairment DOI Creative Commons
Jing Tao, Jiao Liu,

Xiangli Chen

и другие.

NeuroImage Clinical, Год журнала: 2019, Номер 23, С. 101834 - 101834

Опубликована: Янв. 1, 2019

Mild cognitive impairment (MCI) is a common neurological disorder. This study aims to investigate the modulation effect of Baduanjin (a popular mind-body exercise) on MCI. 69 patients were randomized Baduanjin, brisk walking, or an education control group for 24 weeks. The Montreal Cognitive Assessment (MoCA) and Magnetic Resonance Imaging scans applied at baseline end experiment. Compared walking groups, experienced significantly increased MoCA scores. Amplitude low-frequency fluctuations (ALFF) analysis showed decreased ALFF values in right hippocampus (classic low-freqency band, 0.01-0.08 Hz) compared bilateral anterior cingulate cortex (ACC, slow-5 0.01-0.027 group. Further, value changes ACC associated with corresponding score across all groups. We also found gray matter volume In addition, there was resting state functional connectivity between angular gyrus Our results demonstrate potential treatment

Язык: Английский

Процитировано

148
Brain Structural and Functional Damage Network Localization of Suicide DOI
Xiaohan Zhang,

Ruoxuan Xu,

Haining Ma

и другие.

Biological Psychiatry, Год журнала: 2024, Номер 95(12), С. 1091 - 1099

Опубликована: Янв. 10, 2024

Язык: Английский

Процитировано

71