The article reports that general intelligence arises from coordinated interaction across the entire brain rather than a single region. By integrating diffusion-weighted MRI and resting-state fMRI to model the connectome, the study shows that global network patterns predict cognitive ability and reflect an efficient, small-world architecture.

This is of interest to psychology because it supports a network-based view of intelligence, emphasizing distributed processes and the brain’s global topology as key to cognitive performance. The findings highlight how features like weak long-range connections, modal control, and small-world organization relate to intelligent behavior.

Article Title: Scientists just mapped the brain architecture that underlies human intelligence

Link to PsyPost Article: ift dot tt/s5M9hkP

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#BrainConnectome #GeneralIntelligence #NetworkNeuroscience #SmallWorldNetworks #CognitiveScience

I’m excited to share that our article has been published: “Brain Topology Disruption in Early-Onset Dementia: Review of Current Findings and the Need for Network Resilience-Focused Models” (http://dx.doi.org/10.1002/brb3.70903)

In this review, we highlight several important insights:

- A summary of how early‐onset forms of dementia (including Alzheimer’s disease, frontotemporal dementia (FTD), and behavioral variant FTD) show disruption in brain network topology (both structural and functional) rather than purely focal pathology.

- Evidence that brain networks lose their optimal organisational properties (e.g., balance of segregation and integration) in early‐onset dementia, reflecting decline in network resilience. For example, previous work has shown disrupted segregation/integration in large‐scale brain networks in Alzheimer’s/MCI.

- The concept of network resilience as a key lens: rather than only asking “where damage occurs”, the paper argues we should ask “how the network topology fails to compensate, reorganise or maintain function under pathology”. This shifts the view to resilience‐focused models.

- Review of methodological findings: how graph‐theoretic metrics (clustering coefficient, global/local efficiency, modularity, assortativity, small‐worldness) are being applied to neuroimaging and electrophysiology in early dementia.

- Gaps and opportunities: the need for models that integrate network resilience, longitudinal data, multimodal connectivity (structural + functional + electrophysiological) and early‐onset cohorts; and the translational potential for biomarkers and interventions that support network integrity rather than just reduce pathology.

I believe this work contributes to bridging neuroscience, network theory, and clinical neurology, and invites discussion on how we can design interventions that strengthen brain network resilience in dementia.

Thanks to my co-authors (Hema Nawani, Sredha Sunil) and reviewers, and a huge thank you to our professor Veeky Baths for his guidance and support throughout this work.

If you’re working in cognitive neuroscience, network approaches to brain disorders, early‐onset dementia, connectomics or translational neurology, let’s collaborate to make a real impact.

#Neuroscience #BrainNetworks #Dementia #EarlyOnsetDementia #Neurodegeneration #NetworkResilience #ClinicalNeuroscience #GraphTheory #NetworkNeuroscience #ComputationalNeuroscience

Multilayer Network Neuroscience: Decoding the Brain’s Complex Systems

#NetworkNeuroscience #BrainConnectivity #Connectome #Neuroscience #BrainMapping #GraphTheory #MultilayerNetworks #BrainResearch #Neurotechnology #PersonalizedMedicine #BrainHealth #CognitiveScience #Neuroimaging #BrainScience

https://youtube.com/shorts/LdGsiQgeW14?feature=share

Amazing surprise #neuropod !!!

#BeyondPhrenology interviews
#MichaelLAnderson author of #AfterPhrenology
https://youtu.be/yEusfU6IWck

#SystemsNeuroscience
#PhilosophyOfNeuroscience
#PhilosophyOfMind
#PhilosophyOfAI
#Neuroscience
#neuroscienceresearch
#neuralReuse
#NetworkNeuroscience

By ironical serendiripy, drift, change, synchronicity, or else:

Two new papers with thoughtful #NetworkNeuroscience critique!

» Beyond Networks:
Explaining Dynamics in the Natural and Social Sciences «
@yoginho et al.
https://doi.org/10.31219/osf.io/htc78

» Circular and unified analysis in network neuroscience «
Mika Rubinov
https://doi.org/10.7554/eLife.79559

With different framework approaches, conclusions, while complimentary & so needed!

#ComplexSystems
#NetworkScience
#SystemsNeuroscience
#neurodon
#neurobuzz

In case you miss the streaming Neuropizza of Tiziana Currieri, here is the talk about Connectomic disruption for Traumatic #brain injury:
https://youtube.com/watch?v=d-AbdpYjJV8

#TBI #networkneuroscience #neuroscience #network #traumaticbraininjury
@SanoScience

The new issue (n° 12) of #ComplexityThoughts is out!

https://manlius.substack.com/p/complexity-thoughts-issue-12

#NetworkScience #ClimateChange #NetworkNeuroscience #Epidemics #PopulationDynamics

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@[email protected] @complexsystems @DecisionNeuroscience

And here we go!

The new issue (n° 11) of #ComplexityThoughts is out!

#NetworkScience #UrbanSystems, #NetworkNeuroscience #OriginOfLife

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@networkscience @complexsystems @neuroscience