New preprint
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
Leader and Follower Roles in Adapted Tango Reveal Complementary Neural Routes to Motor Improvement in Parkinson’s Disease
Parkinson’s disease (PD) disrupts internally generated (IG) movement through impaired striato-thalamo-cortical circuitry, while externally guided (EG) movement may recruit relatively preserved cerebel...
www.medrxiv.org
September 23, 2026 at 3:54 PM
New preprint
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
When I started contributing to the field of dance neuroscience, there was only a case study on the neural impact of dance in Parkinson’s. Incredible to share our randomized, controlled trial with 57 participants using rsfMRI pre- and post-intervention.
www.medrxiv.org/content/10.6...
Phosphorylated α-synuclein pS129 is found in aggregates that are pathological hallmarks of PD and DLB. The toxicity of pS129 has been up for debate for years. Combining LSM, MRI, rsfMRI and task fMRI, we demonstrate a toxic role for pS129 in synucleinopathies. 1/2
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Phosphorylated ⍺-Synuclein shapes changes in brain structure, task-related activity and functional connectivity in M83 mice
Phosphorylated α-synuclein at S129 (pS129) is the predominant form of α-synuclein in the aggregates known as Lewy bodies (LB) and Lewy neurites (LN), the pathological hallmarks of Parkinson's disease ...
www.biorxiv.org
September 23, 2026 at 2:01 PM
Phosphorylated α-synuclein pS129 is found in aggregates that are pathological hallmarks of PD and DLB. The toxicity of pS129 has been up for debate for years. Combining LSM, MRI, rsfMRI and task fMRI, we demonstrate a toxic role for pS129 in synucleinopathies. 1/2
www.biorxiv.org/content/10.6...
www.biorxiv.org/content/10.6...
Resting-state fMRI is still one of the most active areas in the field. ICA, seed-based connectivity, graph theory — the methods keep growing. Find rs-fMRI tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
NITRC: Search
www.nitrc.org
September 17, 2026 at 1:00 PM
Resting-state fMRI is still one of the most active areas in the field. ICA, seed-based connectivity, graph theory — the methods keep growing. Find rs-fMRI tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
As cognitive neuroscientists we prefer task-based neuroimaging. Most lifespan and Alzheimer's studies are restricted to resting-state fMRI. Our Nature Reviews Neuroscience comment led by @loopyluppi.bsky.social discusses how to reveal cognitive states from rsfMRI
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Unlocking spontaneous cognition in the age of data science - Nature Reviews Neuroscience
Spontaneous brain activity is experimentally unconstrained. Embracing this freedom unlocks rich opportunities beyond task-based and naturalistic paradigms, the traditional Herculean pillars of constra...
www.nature.com
July 18, 2026 at 1:26 PM
As cognitive neuroscientists we prefer task-based neuroimaging. Most lifespan and Alzheimer's studies are restricted to resting-state fMRI. Our Nature Reviews Neuroscience comment led by @loopyluppi.bsky.social discusses how to reveal cognitive states from rsfMRI
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Tool Tuesday 🛠️ Spotlight: C-PAC. The Configurable Pipeline for the Analysis of Connectomes — automated, Nipype-based processing of resting-state fMRI, no programming required. Find it on NITRC. #CPAC #rsfMRI #Python nitrc.org/projects/cpac
July 14, 2026 at 2:01 PM
Tool Tuesday 🛠️ Spotlight: C-PAC. The Configurable Pipeline for the Analysis of Connectomes — automated, Nipype-based processing of resting-state fMRI, no programming required. Find it on NITRC. #CPAC #rsfMRI #Python nitrc.org/projects/cpac
New preprint: 3+ years, 5,000+ initial sources -> 219 studies, 277 refs later our systematic review of rsfMRI after TBI is live.
Turns out many of the "inconsistent" findings in this literature aren't noise, signal emerges when organized by population and acuity.
osf.io/preprints/ps...
Turns out many of the "inconsistent" findings in this literature aren't noise, signal emerges when organized by population and acuity.
osf.io/preprints/ps...
OSF
osf.io
June 30, 2026 at 7:20 PM
New preprint: 3+ years, 5,000+ initial sources -> 219 studies, 277 refs later our systematic review of rsfMRI after TBI is live.
Turns out many of the "inconsistent" findings in this literature aren't noise, signal emerges when organized by population and acuity.
osf.io/preprints/ps...
Turns out many of the "inconsistent" findings in this literature aren't noise, signal emerges when organized by population and acuity.
osf.io/preprints/ps...
Tool Tuesday 🛠️ Spotlight: DPABI. A toolbox for data processing and analysis of brain imaging, especially popular for resting-state fMRI workflows. Find it on NITRC. #DPABI #rsfMRI #Neuroimaging
June 30, 2026 at 2:00 PM
Tool Tuesday 🛠️ Spotlight: DPABI. A toolbox for data processing and analysis of brain imaging, especially popular for resting-state fMRI workflows. Find it on NITRC. #DPABI #rsfMRI #Neuroimaging
The white coat effect: scanner edition!
Yet another ad for simultaneous physio monitoring. The sympathetic response during rsfMRI could be really useful. Luckily, there's a new method under dev: pubmed.ncbi.nlm.nih.gov/42124623/ (I was working on a lower leg variant last week with BIOPAC.)
Yet another ad for simultaneous physio monitoring. The sympathetic response during rsfMRI could be really useful. Luckily, there's a new method under dev: pubmed.ncbi.nlm.nih.gov/42124623/ (I was working on a lower leg variant last week with BIOPAC.)
Neural Control of Autonomic Arousal During Threat Anticipation Revealed by High-Resolution Cardiac Contractility - PubMed
The sympathetic nervous system prepares the organism for adaptive action by shaping physiological, affective, and behavioral responses to environmental demands. Yet, how sympathetic signals dynamicall...
pubmed.ncbi.nlm.nih.gov
June 28, 2026 at 11:59 PM
The white coat effect: scanner edition!
Yet another ad for simultaneous physio monitoring. The sympathetic response during rsfMRI could be really useful. Luckily, there's a new method under dev: pubmed.ncbi.nlm.nih.gov/42124623/ (I was working on a lower leg variant last week with BIOPAC.)
Yet another ad for simultaneous physio monitoring. The sympathetic response during rsfMRI could be really useful. Luckily, there's a new method under dev: pubmed.ncbi.nlm.nih.gov/42124623/ (I was working on a lower leg variant last week with BIOPAC.)
Which might be OK if you are studying anxiety*, but the problem is that all kinds of other mental health problems would also be accompanied by anxiety so the rsfMRI differences might be entirely non-specific to your disorder of interest...
June 28, 2026 at 1:52 PM
Which might be OK if you are studying anxiety*, but the problem is that all kinds of other mental health problems would also be accompanied by anxiety so the rsfMRI differences might be entirely non-specific to your disorder of interest...
In-scanner thoughts contribute to resting-state functional connectivity pubmed.ncbi.nlm.nih.gov/42365014/ I've long thought that this is the "elephant in the room" of resting state #fMRI esp. for comparing groups. If two groups think & feel differently in the scanner, of course rsfMRI will differ!
June 28, 2026 at 1:46 PM
In-scanner thoughts contribute to resting-state functional connectivity pubmed.ncbi.nlm.nih.gov/42365014/ I've long thought that this is the "elephant in the room" of resting state #fMRI esp. for comparing groups. If two groups think & feel differently in the scanner, of course rsfMRI will differ!
I think rsfMRI is perfectly valid, it's just overused. The problem is it's so easy - if you have 5 minutes spare scanner time you can just add it to any study.
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
June 26, 2026 at 1:20 PM
I think rsfMRI is perfectly valid, it's just overused. The problem is it's so easy - if you have 5 minutes spare scanner time you can just add it to any study.
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
Also, I bet rsfMRI differences between groups usually reflect differences in alertness and emotional state more than anything specific
Collaboration across institutions is easier with shared tools and shared data. NITRC connects researchers to the same resources — no reinventing the wheel. 🤝 #Collaboration #OpenScience #Neuroimaging
NITRC: Welcome
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).
CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, ICA, masked ICA, fc-MVPA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Highlights:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, fc-MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12
https://www.conn-toolbox.org
www.nitrc.org
June 26, 2026 at 1:00 PM
Collaboration across institutions is easier with shared tools and shared data. NITRC connects researchers to the same resources — no reinventing the wheel. 🤝 #Collaboration #OpenScience #Neuroimaging
Resting-state fMRI remains one of the most active areas of the field. ICA, seed-based connectivity, graph theory — the methods are rich and growing. Find resting-state tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
June 22, 2026 at 2:01 PM
Resting-state fMRI remains one of the most active areas of the field. ICA, seed-based connectivity, graph theory — the methods are rich and growing. Find resting-state tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
Reviewers increasingly expect open data and open methods. Building reproducibility into your project now makes the grant and publication process smoother later. 📋 #OpenScience #Reproducibility #Neuroimaging
NITRC: Welcome
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).
CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, ICA, masked ICA, fc-MVPA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Highlights:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, fc-MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12
https://www.conn-toolbox.org
www.nitrc.org
June 19, 2026 at 1:00 PM
Reviewers increasingly expect open data and open methods. Building reproducibility into your project now makes the grant and publication process smoother later. 📋 #OpenScience #Reproducibility #Neuroimaging
Sharing your tool with the community? NITRC gives neuroimaging software a home — with hosting, documentation, forums, and a built-in audience of researchers. 🛠️ #OpenSource #Neuroimaging #NITRC
NITRC: Welcome
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).
CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, ICA, masked ICA, fc-MVPA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Highlights:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, fc-MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12
https://www.conn-toolbox.org
www.nitrc.org
June 12, 2026 at 1:00 PM
Sharing your tool with the community? NITRC gives neuroimaging software a home — with hosting, documentation, forums, and a built-in audience of researchers. 🛠️ #OpenSource #Neuroimaging #NITRC
Preprocessing choices shape every downstream result. From motion correction to normalization, small decisions add up. NITRC helps you find and compare the tools that fit your study. 🔍 #fMRI #Preprocessing #Neuroimaging
NITRC: Welcome
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).
CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, ICA, masked ICA, fc-MVPA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Highlights:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, fc-MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12
https://www.conn-toolbox.org
www.nitrc.org
June 8, 2026 at 2:00 PM
Preprocessing choices shape every downstream result. From motion correction to normalization, small decisions add up. NITRC helps you find and compare the tools that fit your study. 🔍 #fMRI #Preprocessing #Neuroimaging
From topography to connectome: Towards an integrated understanding of the resting brain [new]
...by directly mapping spatial organization (topography) to individualized func. connectomes, integrating insights across rsfMRI subfields.
...by directly mapping spatial organization (topography) to individualized func. connectomes, integrating insights across rsfMRI subfields.
June 8, 2026 at 12:53 PM
From topography to connectome: Towards an integrated understanding of the resting brain [new]
...by directly mapping spatial organization (topography) to individualized func. connectomes, integrating insights across rsfMRI subfields.
...by directly mapping spatial organization (topography) to individualized func. connectomes, integrating insights across rsfMRI subfields.
Characterizing variability in resting-state functional magnetic resonance imaging (rsfMRI) metrics: a normative modeling framework https://www.biorxiv.org/content/10.64898/2026.05.28.728381v1
June 1, 2026 at 8:16 PM
Characterizing variability in resting-state functional magnetic resonance imaging (rsfMRI) metrics: a normative modeling framework https://www.biorxiv.org/content/10.64898/2026.05.28.728381v1
Characterizing variability in resting-state functional magnetic resonance imaging (rsfMRI) metrics: a normative modeling framework https://www.biorxiv.org/content/10.64898/2026.05.28.728381v1
June 1, 2026 at 8:16 PM
Characterizing variability in resting-state functional magnetic resonance imaging (rsfMRI) metrics: a normative modeling framework https://www.biorxiv.org/content/10.64898/2026.05.28.728381v1
Welcome to June! 🧠 A fresh month is a great time to revisit your analysis stack. NITRC indexes 1000+ free neuroimaging tools to help you find the right one for the job. What's on your list this month? #Neuroimaging #OpenScience
NITRC: Welcome
CONN is a Matlab-based cross-platform software for the computation, display, and analysis of functional connectivity in fMRI (fcMRI).
CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, ICA, masked ICA, fc-MVPA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Highlights:
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, fc-MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
Mac/Windows/Linux/HPC
SPM8/SPM12
https://www.conn-toolbox.org
www.nitrc.org
June 1, 2026 at 1:00 PM
Welcome to June! 🧠 A fresh month is a great time to revisit your analysis stack. NITRC indexes 1000+ free neuroimaging tools to help you find the right one for the job. What's on your list this month? #Neuroimaging #OpenScience
2/ ⚡ Rapid: UNITE is built on our DeepPrep engine, taking raw individual rsfMRI all the way to a stimulation target in ~30 minutes — fast enough for real clinical workflows.
📄 DeepPrep: www.nature.com/articles/s41...
📄 DeepPrep: www.nature.com/articles/s41...
DeepPrep: an accelerated, scalable and robust pipeline for neuroimaging preprocessing empowered by deep learning - Nature Methods
DeepPrep is a preprocessing pipeline for functional and structural MRI data from humans. Deep learning-based modules and an efficient workflow allow DeepPrep to handle large datasets.
www.nature.com
May 28, 2026 at 1:07 AM
2/ ⚡ Rapid: UNITE is built on our DeepPrep engine, taking raw individual rsfMRI all the way to a stimulation target in ~30 minutes — fast enough for real clinical workflows.
📄 DeepPrep: www.nature.com/articles/s41...
📄 DeepPrep: www.nature.com/articles/s41...
1/ Neuromodulation — TMS, FUS, DBS, iES — works best when it targets each patient's own functional circuits, mapped via rsfMRI. But clinical use has been blocked by slow processing, weak robustness on clinical data, and no automated end-to-end targeting. UNITE solves all three.
May 28, 2026 at 1:07 AM
1/ Neuromodulation — TMS, FUS, DBS, iES — works best when it targets each patient's own functional circuits, mapped via rsfMRI. But clinical use has been blocked by slow processing, weak robustness on clinical data, and no automated end-to-end targeting. UNITE solves all three.
Resting-state fMRI continues to be one of the most active areas of neuroimaging research. From ICA to seed-based connectivity to graph theory — the methods are rich. Find resting-state tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
May 27, 2026 at 3:01 PM
Resting-state fMRI continues to be one of the most active areas of neuroimaging research. From ICA to seed-based connectivity to graph theory — the methods are rich. Find resting-state tools on NITRC. 💡 #rsfMRI #RestingState #Neuroimaging
This is awesome work, congrats!
I have a Q about the normatively of stim. Recent work has found (low-d) comm subspaces between regions. These may not be aligned with univariate stim response. Maybe rsFMRI is less uniform, and can align better with comm dims. Anything you could do to mitigate this?
I have a Q about the normatively of stim. Recent work has found (low-d) comm subspaces between regions. These may not be aligned with univariate stim response. Maybe rsFMRI is less uniform, and can align better with comm dims. Anything you could do to mitigate this?
May 21, 2026 at 10:22 AM
This is awesome work, congrats!
I have a Q about the normatively of stim. Recent work has found (low-d) comm subspaces between regions. These may not be aligned with univariate stim response. Maybe rsFMRI is less uniform, and can align better with comm dims. Anything you could do to mitigate this?
I have a Q about the normatively of stim. Recent work has found (low-d) comm subspaces between regions. These may not be aligned with univariate stim response. Maybe rsFMRI is less uniform, and can align better with comm dims. Anything you could do to mitigate this?
Excited to share our new paper www.sciencedirect.com/science/arti...
Using longitudinal rsfMRI data from 180 infants, we show that developmental changes in attention-related brain networks during the first 2 years of life are associated with fearful temperament, an early risk marker for anxiety.
Using longitudinal rsfMRI data from 180 infants, we show that developmental changes in attention-related brain networks during the first 2 years of life are associated with fearful temperament, an early risk marker for anxiety.
Longitudinal Changes in Infant Attention-Related Brain Networks and Fearful Temperament
Anxiety disorders may partly stem from altered neurodevelopment of attention-related networks. Neonatal alterations in resting-state functional connec…
www.sciencedirect.com
May 7, 2026 at 1:53 PM
Excited to share our new paper www.sciencedirect.com/science/arti...
Using longitudinal rsfMRI data from 180 infants, we show that developmental changes in attention-related brain networks during the first 2 years of life are associated with fearful temperament, an early risk marker for anxiety.
Using longitudinal rsfMRI data from 180 infants, we show that developmental changes in attention-related brain networks during the first 2 years of life are associated with fearful temperament, an early risk marker for anxiety.