🧠 New Insights on Hippocampal Function! 🧠
A recent study from the Buzsáki lab, using DBC Janus Probes, dives into the hippocampus's response to task demands and reveals the surprising role of internal goals over external cues. Here’s what they found:
✅ Task-Dependent Neuronal Tuning: Hippocampal neurons dynamically adjust their responses based on task demands, tuning to space, rewards, and sensory cues when relevant to the goal at hand.
✅ Limited External Influence: External cues, like auditory tones, had minimal impact on firing patterns compared to goal-driven actions.
✅ Goal-Driven Sequences: Neuronal activity aligned with the animal’s action plans, suggesting that internal goals, not sensory cues, guide hippocampal activity.
These findings indicate that hippocampal firing reflects internal, goal-directed plans, offering a new view on how the brain organizes actions in complex environments. #DBCInside#Neuroscience#Electrophysiology
Read the full study: https://hubs.ly/Q02XLD_X0
🧠 New Insights on Hippocampal Function! 🧠
A recent study from the Buzsáki lab, using DBC Janus Probes, dives into the hippocampus's response to task demands and reveals the surprising role of internal goals over external cues. Here’s what they found:
✅ Task-Dependent Neuronal Tuning: Hippocampal neurons dynamically adjust their responses based on task demands, tuning to space, rewards, and sensory cues when relevant to the goal at hand.
✅ Limited External Influence: External cues, like auditory tones, had minimal impact on firing patterns compared to goal-driven actions.
✅ Goal-Driven Sequences: Neuronal activity aligned with the animal’s action plans, suggesting that internal goals, not sensory cues, guide hippocampal activity.
These findings indicate that hippocampal firing reflects internal, goal-directed plans, offering a new view on how the brain organizes actions in complex environments. #DBCInside#Neuroscience#Electrophysiology
Read the full study: https://hubs.ly/Q02XLD_X0
High-quality scientific tools for cognitive & physiological measurement and interpretation. Easily sync and integrate multiple systems for physiological and neurobehavioral measures that assess human brain activity. Wired and wireless systems trusted worldwide for meaningful scientific discovery—BIOPAC has more than 50,000 citations! https://lnkd.in/g2v38zqU#cognitivefunction#physiology#neuroscience
🧠Unveiling the Mouse Brain Cell-by-Cell ✨
Scientists from Allen Institute for Brain Science have achieved a groundbreaking milestone in neuroscience: a comprehensive, cell-by-cell map of the entire mouse brain! This vibrant mosaic not only highlights the diverse positions and roles of cells but also provides unprecedented insights into the functional complexities of the brain.
This intricate map is more than a scientific achievement; it's a window into understanding how various brain regions interact, communicate, and contribute to the behavior and health of mice. By deciphering this complex network, researchers are paving the way for advancements in treating neurological disorders and unlocking the mysteries of the human brain.
Why This Matters:
🔀 Offers a colorful, detailed view of the brain's cellular makeup
🧬 Enhances our understanding of brain function and complexity
🏥Opens new avenues for medical research and neurological therapies
Dive into the fascinating world of neuroscience and explore what this means for future research by reading more about it in this article from The Scientist - https://hubs.ly/Q02swH1s0#Neuroscience#MouseBrain#BrainResearch #ScientificDiscovery#MERFISH #MERSCOPE#Vizgen
The #BrainConference on Neuronal Protein Synthesis Mechanisms in Health and Disease kicks off today!
🧠 Brain Conferences are bi-annual events bringing together outstanding researchers in key areas of contemporary #neuroscience.
🧬 This edition will focus on the regulation of #ProteinSynthesis for neuronal function, including synaptic transmission and plasticity.
Stay tuned to discover more!
#FENSLundbeckfonden / Lundbeck Foundation#BrainPrize
In a recent study, we patched isolated primary hippocampal neurons on our Qube 384 automated patch clamp system. Learn more and read our latest application report here: https://lnkd.in/d9p3Pvu8
Using an optimized cell dissociation protocol, we obtained a whole-cell success rate of up to 65%. These improved techniques could help unlock the secrets of hippocampal neurons, with potential to improve drug discovery in schizophrenia and cognitive health.
Studying native neurons offers accurate modelling of their activity, complete with the full complement of cellular proteins, processes and pathways in their physiological environment. However, such acutely isolated neuronal patch clamp recordings are challenging: heterogeneous cell populations, cell debris, enzymatic and mechanical damage can all add to the problems of making good quality and consistent ion channel current recordings.
#Neuroscience#GABA#Schizophrenia#Qube384#AutomatedPatchClamp#IonChannels#DrugDiscovery#Electrophysiology#Sophion
New manuscript out on bioRxiv - one of the most important ones we have written, as of yet! :)
More specfically, we continue our journey of understanding the role of different cell types in generating the so-called BOLD response, which underlies fMRI-measurements of brain activity. Our results show that all of the new data that has come out recently on this topic are all pointing towards a new and quite revolutionary consensus: that it is not the most common cells - excitatory pyramidal cells - but the much less abundant interneurons, that dominate the control of the BOLD-response. So when we see changes in BOLD and fMRI, it may very well be the activity of interneurons we see.
This consensus could not have been reached without the modelling. Indeed, without the modelling it instead seems like there are different studies and experiments, which point in different directions. However, we explain how these differences are all consistent with one single mechanistic explanation. Our study is therefore an example of a model-based meta-analysis, which goes beyond the capabilities of a normal meta-analysis.
Since our results fundamentally challenges what it is you actually see when you measure brain activity with fMRI, which has been used in >10 000 papers, this paper is also an example of how modelling can help to create consensus on important topics for both fundamental biology and biomedical research, and for clinical examinations of brain activity.
Big thanks to Nicolas and Henrik Podéus, who led the work in this study!
STRATIF-AI
PhD, Post Doc at the Department of Biomedical Engineering, Linköping University
I'm happy to announce that our latest research is now available on BioRxiv! In this study, we dive deep into the mechanisms underlying functional magnetic resonance imaging (fMRI) and challenge a longstanding assumption in neuroscience. Traditionally, fMRI signals have been attributed primarily to the activity of excitatory neurons, but recent findings suggest that inhibitory interneurons play a much more significant role.
Using a model-driven meta-analysis approach, we analyzed data across several different studies, revealing that:
- Less than 20% of the fMRI BOLD signal likely stems from excitatory neurons.
- A substantial 50-80% contribution comes from inhibitory interneurons.
Our model quantifies these contributions and explains the differences observed in fMRI responses across experimental conditions. This work offers a unified perspective on the complex interplay between different neuron types in shaping fMRI signals, bringing us closer to a new consensus on how we interpret these signals in brain mapping studies.
Check out the full study on bioRxiv to learn more about these exciting insights (https://lnkd.in/d6AuDfXt )! #Neuroscience#fMRI#Research#Neuroimaging#InhibitoryNeurons#Interneurons#BrainResearch#bioRxiv
I'm happy to announce that our latest research is now available on BioRxiv! In this study, we dive deep into the mechanisms underlying functional magnetic resonance imaging (fMRI) and challenge a longstanding assumption in neuroscience. Traditionally, fMRI signals have been attributed primarily to the activity of excitatory neurons, but recent findings suggest that inhibitory interneurons play a much more significant role.
Using a model-driven meta-analysis approach, we analyzed data across several different studies, revealing that:
- Less than 20% of the fMRI BOLD signal likely stems from excitatory neurons.
- A substantial 50-80% contribution comes from inhibitory interneurons.
Our model quantifies these contributions and explains the differences observed in fMRI responses across experimental conditions. This work offers a unified perspective on the complex interplay between different neuron types in shaping fMRI signals, bringing us closer to a new consensus on how we interpret these signals in brain mapping studies.
Check out the full study on bioRxiv to learn more about these exciting insights (https://lnkd.in/d6AuDfXt )! #Neuroscience#fMRI#Research#Neuroimaging#InhibitoryNeurons#Interneurons#BrainResearch#bioRxiv
𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐛𝐫𝐚𝐢𝐧 𝐬𝐨 𝐬𝐩𝐞𝐜𝐢𝐚𝐥? 🧠
In the past few years, new methods for studying the human brain — and those of other species — have started to reveal 𝐤𝐞𝐲 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 in greater detail than ever before.
Researchers can now snoop on what happens inside millions of brain cells by cataloguing the 𝐠𝐞𝐧𝐞𝐬, 𝐑𝐍𝐀 and 𝐩𝐫𝐨𝐭𝐞𝐢𝐧𝐬 they produce. And by studying brain tissue, scientists are learning key lessons about how the organ develops and functions.🔬
One is that the differences between human brain cells and those of other species are often #subtle. Another is that the human brain 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐬 𝐬𝐥𝐨𝐰𝐥𝐲 compared with other animals. But how these features give rise to our cognitive skills is still a mystery — although researchers have plenty of promising leads.
#Neuroscience#BrainResearchSpringer Medizin Österreich#Innovation
Do astrocytes influence the maturation of hiPSC-derived neurons? Can these supportive cells truly accelerate neuronal development, and what does that mean for advancing neuroscience research?
These questions were explored in our latest study in collaboration with the Fraunhofer Institute for Biomedical Engineering (IBMT). Using the SyncroPatch 384, we investigated the impact of astrocytes on the maturation of hiPSC-derived neurons.
Here’s what we discovered:
➡️ Co-culturing hiPSC-derived neurons with astrocytes led to a significant increase in cell capacitance and the amplitude of NaV and KV currents, indicating a more mature neuronal state.
➡️ Neurons grown with astrocytes exhibited NaV and KV currents in 100% of cells, compared to just 60% in neuron-only cultures.
➡️ The activation and inactivation properties of NaV channels remained consistent, suggesting that maturation occurred without changes to the channel subtypes.
➡️ We observed both GABA and glycine responses in both conditions (along with small responses to acetylcholine, Bz-ATP, and glutamate in a subset of neurons cultured with and without astrocytes).
These results indicate that co-culturing with astrocytes significantly enhances the electrophysiological properties of hiPSC-derived neurons, making them a more robust model for research.
👉 Check out the full details in our application note:
https://lnkd.in/g4Tbd2nh#Neuroscience#DrugDiscovery#hiPSC#IonChannels#iPSC#neurons#astrocytes#PatchClamp
