(@bryan.jones) kudos icon 1

Brain Connectivity Workshop Series

Common Neural Frameworks trending idea

It seems obvious that any one approach to mapping neural systems will leave behind a tremendous opportunity for many specific areas of science that are important for understanding of how neural systems work. This is true even from a fundamental resolution perspective as no conceivable approach could faithfully represent the detail required to describe circuit topology relationships between neurons and glia including synapses... more »

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(@dan) kudos icon 1

Brain Connectivity Workshop Series

Has evolution conserved canonical computing microcircuitry? trending idea

Has evolution conserved microcircuitry that performs a small number of identifiable, verifiable canonical computations?

If so, connectomes can add value not by their completeness, but by their presentation of motifs which can be categorized as one of a number of basis functions. In spite of the ongoing, global, development of connectomes, we incompletely understand these general and reductionist questions:

Exactly what... more »

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(@johnlamuth33) kudos icon +

Brain Connectivity Workshop Series

A Periodic Table for the Human Forebrain Aiding Connectomics trending idea

My name is John LaMuth and I would like to draw your attention to my own recently devised periodic table for the neurosciences that offers a crucial holistic overview of a top-down nature effectively complementing the bottom-up approach. This dual parameter grid represents a Cartesian coordinate system utilizing the basic neuro-anatomical parameters of input specificity and phylogenetic age, as described further at my... more »

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(@kharris) kudos icon 4

Brain Connectivity Workshop Series

Do not sacrifice x-y resolution for isovoxels trending idea

As a Co-lead for this workshop series, I am entering an example topic for discussion here.

The idea to explore is what is the minimum z-resolution needed to capture and distinguish small ultrastructure objects (e.g. gap junctions, microtubules, neurofilaments, vesicles, polyribosomes, extracellular space, spine apparatus substructure, astroglial end processes, etc.) without overlap between objects across z. We want to... more »

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(@littb325) kudos icon 5

Transformative Research Priorities for the Epilepsies

Collaborative Tech for Epilepsy Surgery, Devices and Therapies trending idea

We propose a bold initiative to share data, infrastructure, new technologies and methods across centers to tackle some of the major challenges in treating refractory epilepsy. There is a clear gap between recent advances in technology to treat refractory seizures and their clinical translation. This is largely because individual centers do not have a sufficient number of patients or technical know-how to do the statistically... more »

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(@kimnye) kudos icon 3

Transformative Research Priorities for the Epilepsies

Parents driving precision therapies for genetic epilepsies

Some of the greatest progress right now in precision therapies for genetic epilepsies is the result of parents of children with genetic epilepsies forming nonprofit organizations. These non-profits then raise funds for medical research. These organizations understand the urgency of the situation and they drive progress by being laser-focused on a specific genetic epilepsy. These genetic epilepsies are arguably among the... more »

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(@yssa) kudos icon 1

2020 Epilepsy Research Benchmarks

No Time to Spare: Re-envisioning ASM Selection in DEEs

We need a better protocols for tailoring anti-seizure medication (ASM) regimes or surgical treatment options for our children, especially the early-onset, drug-resistant epilepsies (DRE) within the DEE families - one that acts with urgency to define the best treatment available in an individualized plan based on the knowledge of the diagnosis, the types of seizures, and the values of the child and family. Yes, please... more »

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(@laura.lubbers) kudos icon 1

Transformative Research Priorities for the Epilepsies

Advancing genetic therapies for monogenic epilepsies

This idea would accelerate promising treatments for the many stakeholders interested in advancing genetic therapies. Many of the patient advocates for monogenic epilepsies are viewing genetic therapies and a potential path towards a cure, with many working independently to achieve their goals. There have been innumerable advances in genetic diagnoses, availability of genetic testing (although there is more to do) and... more »

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(@veronicahooddsf) kudos icon 6

2020 Epilepsy Research Benchmarks

Better Seizure Prediction and Prevention

Patients need biomarkers and/or technological devices to better predict and accurately detect seizure activity. Studies in animal models and in patients to search for predictive biomarkers of seizures and/or biomarkers that may predict risk of SUDEP are urgently needed. Devices that are more convenient and more accurate for patients of all ages to utilize for seizure detection and SUDEP prevention need to be developed... more »

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(@veronicahooddsf) kudos icon 3

2020 Epilepsy Research Benchmarks

Understanding the Genotype-Phenotype Relationship

Understanding the Genotype-Phenotype Relationship (Relevant to areas: 1A, 2A, 2F, 3C)

Our understanding of the major genes associated with causal-mutations in the genetic epilepsies has vastly increased in the last two decades, there is still so much that is poorly understood about how genotypes correspond to phenotypic outcomes amongst patients with similar causal mutations. Researchers have begun to investigate the... more »

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(@bfureman1) kudos icon 8

2020 Epilepsy Research Benchmarks

Benchmark Area IV

Benchmark 4 – Limit or prevent adverse consequences of seizures and their treatment across the lifespan.

• Research the relationship between sleep and seizures

• Explore prevalence of different multi-dien seizure cycles. Explore how seizure cycles impact expression of comorbidities.

• Assess the true incidence of epilepsy mortality including SUDEP. – Develop better surveillance tools and methods so that risk factors... more »

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(@bfureman1) kudos icon 2

2020 Epilepsy Research Benchmarks

Benchmark Area III

Benchmark 3 – Improve treatment options for controlling seizures and epilepsy-related conditions without side effects.

• For new genes/pathways that have been figured out for monogenetic conditions, promote or support gene modifying solutions.

• Understand how dysfunctional networks allow propagation of seizures

• Explore how intervention in a network rather than on a seizure focus could eliminate seizures or improve... more »

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(@bfureman1) kudos icon 2

2020 Epilepsy Research Benchmarks

Benchmark Area II

Benchmark 2 – Prevent epilepsy and its progression.

• Grand Challenge idea: "Biomarkers for Prevention before Seizure Onset" – Following the example of TSC and vigabatrin, a grand challenge may be to identify the range of other epilepsies that can be accurately identified before seizures emerge, and develop targeted programs to develop biomarkers and preventive treatments. Examples could include individuals with higher... more »

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