A common symptom geometry of mood improvement under sertraline and placebo associated with distinct neural patterns DOI Creative Commons

Lucie Berkovitch,

Kangjoo Lee, Jie Lisa Ji

et al.

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

Published: Dec. 17, 2023

Abstract Importance Understanding the mechanisms of major depressive disorder (MDD) improvement is a key challenge to determine effective personalized treatments. Objective To perform secondary analysis quantifying neural-to-symptom relationships in MDD as function antidepressant treatment. Design Double blind randomized controlled trial. Setting Multicenter. Participants Patients with early onset recurrent depression from public Establishing Moderators and Biosignatures Antidepressant Response Clinical Care (EMBARC) study. Interventions Either sertraline or placebo during 8 weeks (stage 1), according response second line treatment for additional 2). Main Outcomes Measures identify data-driven pattern symptom variations these two stages, we performed Principal Component Analysis (PCA) on individual items four clinical scales measuring depression, anxiety, suicidal ideas manic-like symptoms, resulting univariate measure improvement. We then investigated how initial neural factors predicted this stage 1. do so, extracted resting-state global brain connectivity (GBC) at baseline level using whole-brain functional network parcellation. In turn, computed linear model each parcel scores 1 group. Results 192 patients (127 women), age 37.7 years old (standard deviation: 13.5), were included. The first PC (PC1) capturing 20% variation was similar across groups 2, suggesting reproducible PC1 patients’ significantly differed 1, whereas no difference evidenced between Global Impressions (CGI). Baseline GBC correlated sertraline, but not Conclusions Relevance Using reduction symptoms scales, identified common profile sertraline. However, patterns that mapped onto distinguished placebo. Our results underscore mapping circuits vital detect treatment-responsive profiles may aid optimal patient selection future trials. Key Points Question What antidepressants placebo? Findings has shared behavioral geometry differs terms intensity group only. Meaning There signature can be more robustly by neurobehavioral features when it pharmacologically induced.

Language: Английский

Innovation at the Intersection: Emerging Translational Research in Neurology and Psychiatry DOI Creative Commons
Masaru Tanaka, Simone Battaglia, Lydia Giménez‐Llort

et al.

Cells, Journal Year: 2024, Volume and Issue: 13(10), P. 790 - 790

Published: May 7, 2024

Translational research in neurological and psychiatric diseases is a rapidly advancing field that promises to redefine our approach these complex conditions [...]

Language: Английский

Citations

19
Functional connectome through the human life span DOI Creative Commons

Lianglong Sun,

Tengda Zhao, Xinyuan Liang

et al.

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

Published: Sept. 13, 2023

The lifespan growth of the functional connectome remains unknown. Here, we assemble task-free and structural magnetic resonance imaging data from 33,250 individuals aged 32 postmenstrual weeks to 80 years 132 global sites. We report critical inflection points in nonlinear curves mean variance connectome, peaking late fourth third decades life, respectively. After constructing a fine-grained, lifespan-wide suite system-level brain atlases, show distinct maturation timelines for segregation within different systems. Lifespan regional connectivity is organized along primary-to-association cortical axis. These connectome-based normative models reveal substantial individual heterogeneities networks patients with autism spectrum disorder, major depressive Alzheimer's disease. findings elucidate evolution can serve as reference quantifying variation development, aging, neuropsychiatric disorders.

Language: Английский

Citations

25
A standardized image processing and data quality platform for rodent fMRI DOI Creative Commons
Gabriel Desrosiers-Grégoire, Gabriel A. Devenyi, Joanes Grandjean

et al.

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

Published: Aug. 7, 2024

Functional magnetic resonance imaging in rodents holds great potential for advancing our understanding of brain networks. Unlike the human community, there remains no standardized resource image processing, analysis and quality control, posing significant reproducibility limitations. Our software platform, Rodent Automated Bold Improvement EPI Sequences, is a pipeline designed to address these limitations preprocessing, confound correction, along with best practices transparency. We demonstrate robustness preprocessing workflow by validating performance across multiple acquisition sites both mouse rat data. Building upon thorough investigation into data metrics sites, we introduce guidelines control network offer recommendations addressing issues. Taken together, this platform will allow emerging community adopt reproducible foster progress translational neuroscience.

Language: Английский

Citations

13
Ketamine induces multiple individually distinct whole-brain functional connectivity signatures DOI Creative Commons
Flora Moujaes, Jie Lisa Ji, Masih Rahmati

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: April 17, 2024

Background: Ketamine has emerged as one of the most promising therapies for treatment-resistant depression. However, inter-individual variability in response to ketamine is still not well understood and it unclear how ketamine’s molecular mechanisms connect its neural behavioral effects. Methods: We conducted a single-blind placebo-controlled study, with participants blinded their treatment condition. 40 healthy received acute (initial bolus 0.23 mg/kg, continuous infusion 0.58 mg/kg/hr). quantified resting-state functional connectivity via data-driven global brain related individual ketamine-induced symptom variation cortical gene expression targets. Results: found that: (i) both effects are multi-dimensional, reflecting robust variability; (ii) principal gradient effect matched somatostatin (SST) parvalbumin (PVALB) patterns humans, while mean did not; (iii) mapped onto distinct gradients ketamine, which were resolvable at single-subject level. Conclusions: These results highlight importance considering ketamine. They also have implications development individually precise pharmacological biomarkers selection psychiatry. Funding: This study was supported by NIH grants DP5OD012109-01 (A.A.), 1U01MH121766 R01MH112746 (J.D.M.), 5R01MH112189 5R01MH108590 NIAAA grant 2P50AA012870-11 (A.A.); NSF NeuroNex 2015276 (J.D.M.); Brain Behavior Research Foundation Young Investigator Award SFARI Pilot (J.D.M., A.A.); Heffter Institute (Grant No. 1–190420) (FXV, KHP); Swiss Neuromatrix 2016–0111) National Science under framework Neuron Cofund 01EW1908) (KHP); Usona (2015 – 2056) (FXV). Clinical trial number: NCT03842800

Language: Английский

Citations

9
Safety, tolerability, and clinical and neural effects of single-dose psilocybin in obsessive–compulsive disorder: protocol for a randomized, double-blind, placebo-controlled, non-crossover trial DOI Creative Commons
Terence H. W. Ching, Rachael Grazioplene,

Calvin Bohner

et al.

Frontiers in Psychiatry, Journal Year: 2023, Volume and Issue: 14

Published: April 25, 2023

Psilocybin may help treat obsessive-compulsive disorder (OCD). To date, only one open-label study of psilocybin for OCD exists, necessitating further investigation with a randomized controlled design. The neural correlates psilocybin's effects on have also not been studied.

Language: Английский

Citations

16
The Human Connectome Project of adolescent anxiety and depression dataset DOI Creative Commons

Nicholas A. Hubbard,

Clemens Bauer, Viviana Siless

et al.

Scientific Data, Journal Year: 2024, Volume and Issue: 11(1)

Published: Aug. 2, 2024

This article describes primary data and resources available from the Boston Adolescent Neuroimaging of Depression Anxiety (BANDA) study, a novel arm Human Connectome Project (HCP). Data were collected 215 adolescents (14–17 years old), 152 whom had current diagnoses anxiety and/or depressive disorders at study intake. include cross-sectional structural (T1- T2-weighted), functional (resting state three tasks), diffusion-weighted magnetic resonance images. Both unprocessed HCP minimally-preprocessed imaging are within release packages. parent clinical interview data, as well cognitive neuropsychological also included these Release packages additionally provide self-report measures assessing key features adolescent psychopathology, including: anxious symptom dimensions, behavioral inhibition/activation, exposure to stressful life events, risk behaviors. Finally, 6- 12-month longitudinal acquired measures. publicly accessible through National Institute Mental Health Archive (ID: #2505).

Language: Английский

Citations

4
Atypical maturation of the functional connectome hierarchy in autism DOI Creative Commons
Jong‐Eun Lee,

Sunghun Kim,

Shinwon Park

et al.

Molecular Autism, Journal Year: 2025, Volume and Issue: 16(1)

Published: March 26, 2025

Abstract Background Autism spectrum disorder (ASD) is marked by disruptions in low-level sensory processing and higher-order sociocognitive functions, suggesting a complex interplay between different brain regions across the cortical hierarchy. However, developmental trajectory of this hierarchical organization ASD remains underexplored. Herein, we investigated maturational abnormalities hierarchy among individuals with ASD. Methods Resting-state functional magnetic resonance imaging data from three large-scale datasets were analyzed: Brain Imaging Data Exchange I II Lifespan Human Connectome Project Development (aged 5–22 years). The principal connectivity gradient representing was estimated using diffusion map embedding. By applying normative modeling generalized additive model for location, scale, shape (GAMLSS), captured nonlinear trajectories developing gradient, as well individual-level deviations typical development based on centile scores measured curves. A whole-brain summary metric, score, derived to measure extent abnormal maturation Finally, through series mediation analyses, examined potential role network-level connectomic diagnoses Results followed non-linear trajectory, showing delayed during childhood compared that typically individuals, an accelerated “catch-up” phase adolescence subsequent decline young adulthood. nature these varied networks, attention networks displaying most pronounced childhood, while particularly default mode network (DMN), remaining impaired adolescence. Mediation analyses revealed persistent reduction DMN segregation throughout key contributor atypical Limitations uneven distribution samples age groups, later stages development, limited our ability fully capture older individuals. Conclusions These findings highlight importance understanding ASD, collectively early interventions aimed at promoting may be critical improving outcomes

Language: Английский

Citations

0
Human lifespan changes in the brain’s functional connectome DOI

Lianglong Sun,

Tengda Zhao, Xinyuan Liang

et al.

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

Published: April 3, 2025

Language: Английский

Citations

0
Latent dimensions in neural representations predict choice context effects DOI Creative Commons
Asaf Madar,

Tom Zemer,

Ido Tavor

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown

Published: April 20, 2025

Abstract Choices are often affected by the context of available alternatives, a phenomenon termed choice effects. Current models effects require options to be described two explicit numerical attributes. However, decision-makers might represent these additional latent We propose use participants’ neural representations access full attribute set they consider and predict without using first estimated elicited lotteries behavioral sample. Then we recruited fMRI samples with preregistered design estimate each lottery choice. predicted only similarity in between individual lotteries, improving out-of-sample predictions 14% explained variance 20% compared traditional methods. These encoded mixture attributes, previously inaccessible researchers

Language: Английский

Citations

0
The spatial extent of anatomical connections within the thalamus varies across the cortical hierarchy in humans and macaques DOI Open Access
Amber Howell, Shaun Warrington, Clara Fonteneau

et al.

Published: Feb. 29, 2024

Each cortical area has a distinct pattern of anatomical connections within the thalamus, central subcortical structure composed functionally and structurally nuclei. Previous studies have suggested that certain areas may more extensive target multiple thalamic nuclei, which potentially allows them to modulate distributed information flow. However, there is lack quantitative investigations into connectivity patterns thalamus. Consequently, it remains unknown if exhibit systematic differences in extent their To address this knowledge gap, we used diffusion magnetic resonance imaging (dMRI) perform brain-wide probabilistic tractography for 828 healthy adults from Human Connectome Project. We then developed framework quantify spatial each area’s Additionally, leveraged resting-state functional MRI, myelin, human neural gene expression data test thalamus varied along hierarchy. Our results revealed two cortico-thalamic motifs: 1) sensorimotor motif characterized by focal targeting posterolateral associated with fast, feed-forward flow; 2) an associative diffuse anteromedial slow, feed-back These findings were consistent across subjects also observed macaques, indicating cross-species generalizability. Overall, our study demonstrates association support functionally-distinct

Language: Английский

Citations

3