Timon Merk

Chronic intracranial neural dynamics forecast treatment response and therapeutic engagement during deep brain stimulation for OCD

Ju Zhou, Rick R. Hanish, Timon Merk, Royal Bao et autres

Clinical improvement following psychiatric neuromodulation often requires weeks to months, creating prolonged uncertainty during treatment optimization. Neural biomarkers could reduce this uncertainty by forecasting treatment outcome, providing early evidence of therapeutic engagement, and objectively tracking clinical response. We analyzed nearly 120,000 patient-hours …

us (code pays fourni par la source)

MNE-Python

Eric Larson, Alex Gramfort, Denis Engemann, Jaakko Leppakangas et autres

v1.13.1

MNE-Python

Eric Larson, Alex Gramfort, Denis Engemann, Jaakko Leppakangas et autres

v1.13.2

MNE-Python

Eric Larson, Alex Gramfort, Denis Engemann, Jaakko Leppakangas et autres

v1.13.0

Generative deep learning reconstructs subcortical neural signals from cortical recordings for closed-loop brain stimulation

Zixiao Yin, Timon Merk, Maria Olaru, Richard M. Köhler et autres

Abstract Closed-loop deep brain stimulation (DBS) relies on continuous neural biomarker sensing, yet clinical utility is often limited by signal dropout, stimulation artifacts, and hardware constraints in subcortical recordings. Here, we develop a deep learning framework combining spectral processing with generative diffusion …

cn, de, us, ch (code pays fourni par la source)

Distinct neural representations encode psychiatric states across multiple timescales

Timon Merk, Grace Bezold, Rahul Hingorani, Andrew D. Wiese et autres

Psychiatric states manifest over multiple timescales, from transient fluctuations in disorder-related distress to long-term variations in disease severity, yet whether these expressions share common neural representations remains unknown. We addressed this question in obsessive-compulsive disorder (OCD) by comparing neural activity associated with …

us (code pays fourni par la source)

Movement dependent neural substates within levodopa-induced dyskinesia in Parkinson's disease

Jeroen Habets, Timon Merk, Varvara Mathiopoulou, Jonathan Kaplan et autres

Parkinson patients suffer from levodopa-induced dyskinesia, which occur adversely to chronic dopaminergic treatment. These abnormal involuntary movements can only partly be actively suppressed and affect quality of life. A lowered motor inhibition during hyperdopaminergic states, associated with structural and plasticity changes in …

de (code pays fourni par la source)

Estimation of neuronal tuning for word meaning from passively recorded naturalistic speech

Taha Ismail, Ana G. Chavez, Xinyuan Yan, Hao Zhu et autres

The ability to derive neural-level language coding models holds great scientific and clinical potential. Current approaches are limited by the scale and ethological validity of input data; applications requiring large, rare, or naturalistic samples in particular would benefit from the ability to …

us (code pays fourni par la source)

Multitarget brain implants enable generalized decoding of Parkinson’s disease symptoms from chronic home recordings

Wolf-Julian Neumann, Timon Merk, Maria Olaru, Nanditha Rajamani et autres

de, us, cn, gb (code pays fourni par la source)

MNE-Python

Eric Larson, Alexandre Gramfort, Denis Engemann, Jaakko Leppakangas et autres

v1.12.1

MNE-Python

Eric Larson, Alexandre Gramfort, Denis Alexander Engemann, Jaakko Leppakangas et autres

v1.12.0

NDX Wearables

Tomasz Fraczek, Lauren Diaz, Nicole Guittari, Rick R. Hanish et autres

This project contains synthetic data files which demonstrate the use of and support development of the NDX Wearables extension. Neurodata without borders (NWB), with its supporting suite of tools and online data archives, offers a promising medium for data sharing, but does …