Dr Ameera Patel

University position

Researcher

Departments

Department of Clinical Neurosciences

Institutes

Brain Mapping Unit

Research Theme

Systems and Computational Neuroscience

Interests

My most recent work has focused on developing new signal processing methods for denoising functional MRI time series that enable model-free removal of spatially-variabel and non-linear motion artefacts with high efficacy. I have extended this method to develop new methods for probabilistic analysis of brain graphs from single subjects post-denoising, which enable tight control over type 1 error or false positives.

As part of this work I have co-developed, and currently run, a software initiative at the university (the fMRI Signal Processing Toolbox - SPT) to enable researchers in the field to implement these methods on their own data. This incorporates the BrainWavelet Toolbox which I have developed for denoising non-stationary artefacts from biological time series / probabilistic inference (Patel et al., 2014, 2015. NeuroImage) - available free for download from www.brainwavelet.org.

My latest work focuses on application of these statistical methods to wider healthcare problems.

Research Focus

Keywords

functional MRI

signal processing

wavelets

networks

statistics

Clinical conditions

Alzheimer's disease

Autism

Childhood disorders

Cognitive impairment

Dementia

Depressive disorders

Epilepsy

Huntington's disease

Multiple system atrophy

Parkinson's disease

Progressive supranuclear palsy

Schizophrenia

Equipment

Computational modelling

Magnetic resonance imaging (MRI)

Statistics

Wavelets

Collaborators

No collaborators listed

Associated News Items


    Key publications

    Patel AX, Bullmore ET (2015), “A wavelet-based estimator of the degrees of freedom in denoised fMRI time series for probabilistic testing of functional connectivity and brain graphs.” Neuroimage Details

    Patel AX, Kundu P, Rubinov M, Simon Jones P, Vértes PE, Ersche KD, Suckling J, Bullmore ET (2014), “A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series.” Neuroimage Details

    Publications

    2015

    Jao T, Schröter M, Chen CL, Cheng YF, Lo CZ, Chou KH, Patel AX, Lin WC, Lin CP, Bullmore ET (2015), “Functional brain network changes associated with clinical and biochemical measures of the severity of hepatic encephalopathy.” Neuroimage 122:332-344 Details

    Patel AX, Burdakov D (2015), “Mechanisms of gain control by voltage-gated channels in intrinsically-firing neurons.” PLoS One 10(3):e0115431 Details

    Peeters SC, van de Ven V, Gronenschild EH, Patel AX, Habets P, Goebel R, van Os J, Marcelis M, Genetic Risk and Outcome of Psychosis (G.R.O.U.P.) (2015), “Default mode network connectivity as a function of familial and environmental risk for psychotic disorder.” PLoS One 10(3):e0120030 Details

    2014

    Patel AX, Miller SR, Nathan PJ, Kanakaraj P, Napolitano A, Lawrence P, Koch A, Bullmore ET (2014), “Neuroendocrine and sympathetic responses to an orexin receptor antagonist, SB-649868, and Alprazolam following insulin-induced hypoglycemia in humans.” Psychopharmacology (Berl) Details

    2013

    Breckel TP, Thiel CM, Bullmore ET, Zalesky A, Patel AX, Giessing C (2013), “Long-term effects of attentional performance on functional brain network topology.” PLoS One 8(9):e74125 Details

    Crossley NA, Mechelli A, Vértes PE, Winton-Brown TT, Patel AX, Ginestet CE, McGuire P, Bullmore ET (2013), “Cognitive relevance of the community structure of the human brain functional coactivation network.” Proc Natl Acad Sci U S A 110(28):11583-8 Details

    Giessing C, Thiel CM, Alexander-Bloch AF, Patel AX, Bullmore ET (2013), “Human brain functional network changes associated with enhanced and impaired attentional task performance.” J Neurosci 33(14):5903-14 Details

    2012

    Patel AX, Murphy N, Burdakov D (2012), “Tuning low-voltage-activated A-current for silent gain modulation.” Neural Comput 24(12):3181-90 Details