Cagnan Group

cagnan

Dynamic Neuromodulation

Our goal is to selectively and dynamically modulate neural synchrony in order to achieve controlled effects on neural communication. Thus, we aim to establish the role of synchrony in healthy behaviour and identify novel ways of treating disturbed synchrony in disease.

1

Stimulating at the right time: phase-specific deep brain stimulation for tremor control (adapted from Cagnan et al. 2017)

2

Deep brain stimulation can be used to characterize tremor circuits and to determine how different brain structures contribute to tremor generation (adapted from Cagnan et al. 2014).

3

Subthalamic - Globus Pallidus coupling: Pathological beta is exasperated while optimal phase for amplification is maintained, and is then transiently suppressed following a phase slip (adapted from Cagnan et al 2015).

Group Science

Our everyday actions, from decision making to motor control, are thought to involve information exchange through transient, often rhythmic, neural synchrony across multiple brain regions. Emerging evidence suggests that a range of neurological disorders such as Parkinson’s disease (PD), essential tremor (ET), dystonia and dyskinesia could be attributed to dysfunction of this fundamental neural property. To date, the functional and pathological roles of transient neural synchrony remains unknown, a critical link that could be leveraged to identify novel ways of treating aberrant synchrony. We aim to utilize deep brain stimulation (DBS) in order to selectively and dynamically modulate synchrony in the cortico-basal ganglia loop to establish the functional role of transient synchrony, and its pathological role in PD and ET.

Key Research Areas
  • selective neuromodulation – modulating neural activity of interest while sparing other physiological function
  • dynamic neuromodulation – adjusting neuromodulation according to the current state of the neural system
  • mimicking nature – learning from spontaneous neural processes how to modulate neural synchrony
Research Techniques
  • Deep Brain Stimulation (sensing and stimulating)
  • Theoretical Modelling (single unit to population level models)
  • Neuroimaging (MEG)
Selected Publications
Unit Publication
Reis C
Sharott A
Magill PJ
van Wijk B
Parr T
Zeidman P
Friston KJ
Cagnan H
2019. Neuroimage, 193:103-114.
Unit Publication
Cagnan H
Pedrosa D
Little S
Pogosyan A
Cheeran B
Aziz TZ
Green AL
Fitzgerald J
Foltynie T
Limousin P
Zrinzo L
Hariz M
Friston KJ
Denison T
Brown P
2017. Brain, 140(1):132-145.
Cagnan H
Brittain JS
Little S
Foltynie T
Limousin P
Zrinzo L
Hariz M
Joint C
Fitzgerald J
Green AL
Aziz TZ
Brown P

2013.Brain, 136(Pt 10):3062-75.

Cagnan H
Little S
Foltynie T
Limousin P
Zrinzo L
Hariz M
Cheeran B
Fitzgerald J
Green AL
Aziz TZ
Brown P

2014.Brain, 137(Pt 12):3223-34.

Unit Publication
Cagnan H
Duff EP
Brown P
2015.Brain, 138(Pt 6):1667-78.
Datasets and resources

Like other Groups at the MRC BNDU, we are committed to best practice in open research.  We have created and curated a range of primary data, metadata and related resources that can be readily downloaded by external users from the MRC BNDU's Data Sharing Platform. We highlight below just a few examples of the datasets and other resources we have shared for the benefit of our stakeholders.

Cagnan H
Weerasinghe G
Brown P
10.5287/bodleian:xq24eN2Km