The multiverse of data preprocessing and analysis in graph-based fMRI: A systematic literature review of analytical choices fed into a decision support tool for informed analysis DOI Creative Commons
Daniel Kristanto,

Micha Burkhardt,

Christiane M. Thiel

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 15, 2024

Abstract The large number of different analytical choices researchers use may be partly responsible for the replication challenge in neuroimaging studies. For robustness analysis, knowledge full space options is essential. We conducted a systematic literature review to identify decisions functional data preprocessing and analysis emerging field cognitive network neuroscience. found 61 steps, with 17 them having debatable options. Scrubbing, global signal regression, spatial smoothing are among controversial steps. There no standardized order which steps applied, within several vary widely across By aggregating pipelines studies, we propose three taxonomic levels categorize choices: 1) inclusion or exclusion specific 2) distinct sequencing 3) parameter tuning To facilitate access data, developed decision support app high educational value called METEOR, allows explore as reference well-informed (multiverse) analysis. Highlights Data variability hinders replicability. Analysis multiple defensible examines results. identified 102 performing graph-fMRI Interactive visualization these available Shiny app.

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
Examining Phronesis Models with Evidence from the Neuroscience of Morality Focusing on Brain Networks DOI
Hyemin Han

Topoi, Journal Year: 2024, Volume and Issue: 43(3), P. 923 - 935

Published: Jan. 5, 2024

Language: Английский

Citations

10
Infant neuroscience: how to measure brain activity in the youngest minds DOI
Nicholas B. Turk‐Browne, Richard Ν. Aslin

Trends in Neurosciences, Journal Year: 2024, Volume and Issue: 47(5), P. 338 - 354

Published: April 3, 2024

Language: Английский

Citations

8
Scale-free behavior of weight distributions of connectomes DOI Creative Commons
Michelle T. Cirunay, Géza Ódor, I. Papp

et al.

Physical Review Research, Journal Year: 2025, Volume and Issue: 7(1)

Published: Feb. 5, 2025

To determine the precise link between anatomical structure and function, brain studies primarily concentrate on wiring of its topological properties. In this work, we investigate weighted degree connection length distributions KKI-113 KKI-18 human connectomes, fruit fly, mouse retina. We find that node strength (weighted degree) distribution behavior differs depending considered scale. On global scale, are found to follow a power-law behavior, with roughly universal exponent close 3. However, breaks at local scale as stretched exponential, fly retina log-normal distribution, respectively, which indicative underlying random multiplicative processes underpins nonlocality learning in critical state. for case H01 (1mm3) datasets, an exponentially truncated power law, may hint fact mechanism have manifested level too. Published by American Physical Society 2025

Language: Английский

Citations

1
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy DOI Open Access
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol

et al.

Published: Aug. 12, 2024

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range extrinsic delineated limits determining connectivity from neuron morphology placement, finding that it reproduces targeting Sst+ requires additional specificity to reproduce PV+ VIP+ interneurons. Globally, was characterized local clusters tied together through hub neurons layer 5, demonstrating how interegional complicit, inseparable networks. suitable for simulation-based studies, 211,712 subvolume made openly available community.

Language: Английский

Citations

5
Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part I: Anatomy DOI Open Access
Michael W. Reimann, Sirio Bolaños‐Puchet, Jean-Denis Courcol

et al.

Published: Nov. 26, 2024

The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range extrinsic delineated limits determining connectivity from neuron morphology placement, finding that it reproduces targeting Sst+ requires additional specificity to reproduce PV+ VIP+ interneurons. Globally, was characterized local clusters tied together through hub neurons layer 5, demonstrating how interegional complicit, inseparable networks. suitable for simulation-based studies, 211,712 subvolume made openly available community.

Language: Английский

Citations

5
Updating functional brain units: Insights far beyond Luria DOI
Jordi Peña‐Casanova, Gonzalo Sánchez‐Benavides, Jorge Sigg-Alonso

et al.

Cortex, Journal Year: 2024, Volume and Issue: 174, P. 19 - 69

Published: Feb. 29, 2024

Language: Английский

Citations

4
Modeling the neurocognitive dynamics of language across the lifespan DOI Creative Commons
Clément Guichet, Sonja Banjac, Sophie Achard

et al.

Human Brain Mapping, Journal Year: 2024, Volume and Issue: 45(5)

Published: March 29, 2024

Abstract Healthy aging is associated with a heterogeneous decline across cognitive functions, typically observed between language comprehension and production (LP). Examining resting‐state fMRI neuropsychological data from 628 healthy adults (age 18–88) the CamCAN cohort, we performed state‐of‐the‐art graph theoretical analysis to uncover neural mechanisms underlying this variability. At level, our findings suggest that LP not an isolated function but modulated throughout lifespan by extent of inter‐cognitive synergy semantic domain‐general processes. cerebral show default mode network (DMN) suppression coupled fronto‐parietal (FPN) integration way for brain compensate effects dedifferentiation at minimal cost, efficiently mitigating age‐related in LP. Relatedly, reduced DMN midlife could compromise ability manage cost FPN integration. This may prompt older adopt more cost‐efficient compensatory strategy maintains global homeostasis expense performances. Taken together, propose represents critical neurocognitive juncture signifies onset decline, as gradually lose control over representations. We summarize novel synergistic, economical, nonlinear, emergent, model, integrating connectomic dimensions within complex system perspective.

Language: Английский

Citations

4
Higher-order-interaction in multiplex neuronal network with electric and synaptic coupling DOI
Arpit Singh, Umesh Kumar Verma, Ajay Mishra

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 182, P. 114864 - 114864

Published: April 17, 2024

Language: Английский

Citations

4
Preconfigured architecture of the developing mouse brain DOI Creative Commons
Mattia Chini,

Marilena Hnida,

Johanna K. Kostka

et al.

Cell Reports, Journal Year: 2024, Volume and Issue: 43(6), P. 114267 - 114267

Published: May 24, 2024

In the adult brain, structural and functional parameters, such as synaptic sizes neuronal firing rates, follow right-skewed heavy-tailed distributions. While this organization is thought to have significant implications, its development still largely unknown. Here, we address knowledge gap by investigating a large-scale dataset recorded from prefrontal cortex olfactory bulb of mice aged 4–60 postnatal days. We show that rates spike train interactions stable distribution shape throughout first 60 days displays small-world architecture. Moreover, early brain activity exhibits an oligarchical organization, where high-firing neurons hub-like properties. neural network model, analogously parameters are instrumental consistently recapitulate experimental data. Thus, in developing already extremely distributed, suggesting preconfigured not experience dependent.

Language: Английский

Citations

4