[FG] Fuhr Peter

Papadopoulou, Athina et al. (2024) ‘Visual evoked potentials in multiple sclerosis: P100 latency and visual pathway damage including the lateral geniculate nucleus’, Clinical Neurophysiology, 161, pp. 122–132. Available at: https://doi.org/10.1016/j.clinph.2024.02.020.

Yassine, Sahar et al. (2024) ‘Correction: Electrophysiological signatures of anxiety in Parkinson’s disease’, Translational Psychiatry, 14(1). Available at: https://doi.org/10.1038/s41398-024-02908-w.

Babiloni, Claudio et al. (2024) ‘Poor reactivity of posterior electroencephalographic alpha rhythms during the eyes open condition in patients with dementia due to Parkinson’s disease’, Neurobiology of Aging, 135, pp. 1–14. Available at: https://doi.org/10.1016/j.neurobiolaging.2023.11.010.

Toloraia, Ketevan, Gschwandtner, Ute and Fuhr, Peter (2024) ‘High-frequency multimodal training with a focus on Tai Chi in people with Parkinson’s disease: a pilot study’, Frontiers in Aging Neuroscience, 16. Available at: https://doi.org/10.3389/fnagi.2024.1335951.

Yassine, Sahar et al. (2024) ‘Electrophysiological signatures of anxiety in Parkinson’s disease’, Translational Psychiatry, 14(1). Available at: https://doi.org/10.1038/s41398-024-02745-x.

Gschwandtner, Ute et al. (2023) ‘Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC)’, Scientific Reports, 13(1). Available at: https://doi.org/10.1038/s41598-023-32345-6.

Gschwandtner, Ute et al. (2023) ‘Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC)’, Scientific Reports, 13(1). Available at: https://doi.org/10.1038/s41598-023-32345-6.

Gschwandtner, Ute et al. (2023) ‘Prediction of cognitive decline in Parkinson’s disease (PD) patients with electroencephalography (EEG) connectivity characterized by time-between-phase-crossing (TBPC)’, Scientific Reports, 13(1). Available at: https://doi.org/10.1038/s41598-023-32345-6.

Keller Sebastian M. et al. (2023) ‘Information Contained in EEG Allows Characterization of Cognitive Decline in Neurodegenerative Disorders’, Clinical EEG and Neuroscience, 54, pp. 391–398. Available at: https://doi.org/10.1177/15500594221120734.

Babiloni, Claudio et al. (2022) ‘Reactivity of posterior cortical electroencephalographic alpha rhythms during eyes opening in cognitively intact older adults and patients with dementia due to Alzheimer’s and Lewy body diseases’, Neurobiology of Aging, 115, pp. 88–108. Available at: https://doi.org/10.1016/j.neurobiolaging.2022.04.001.

Yassine S. et al. (2022) ‘Functional Brain Dysconnectivity in Parkinson’s Disease: A 5-Year Longitudinal Study.’, Movement disorders : official journal of the Movement Disorder Society, 37(7), pp. 1444–1453. Available at: https://doi.org/10.1002/mds.29026.

Babiloni Claudio et al. (2022) ‘Reactivity of posterior cortical electroencephalographic alpha rhythms during eyes opening in cognitively intact older adults and patients with dementia due to Alzheimer’s and Lewy body diseases’, Neurobiology of Aging, 115, pp. 88–108. Available at: https://doi.org/10.1016/j.neurobiolaging.2022.04.001.

Hardmeier, M. et al. (2022) ‘Prognostic biomarkers in primary progressive multiple sclerosis: validating and scrutinizing multimodal evoked potentials’, Clinical neurophysiology, 137, pp. 152–158. Available at: https://doi.org/10.1016/j.clinph.2022.02.019.

Toloraia K et al. (2022) ‘Anxiety, Depression, and Apathy as Predictors of Cognitive Decline in Patients With Parkinson’s Disease-A Three-Year Follow-Up Study.’, Frontiers in neurology, 13, p. 792830. Available at: https://doi.org/10.3389/fneur.2022.792830.

Rösch AD et al. (2022) ‘Evaluating a Speech-Specific and a Computerized Step-Training-Specific Rhythmic Intervetion in Parkinson’s Disease: A Cross-Over, Multi-Arms Parallel Study’, Front Rehabil Sci, 2.

Saleh C et al. (2021) ‘Does Quantitative Electroencephalography Refine Preoperative Cognitive Assessment in Parkinson’s Disease Patients Treated with Deep Brain Stimulation? A Follow-Up Study’, Dementia and Geriatric Cognitive Disorders, 50(4), pp. 349–356. Available at: https://doi.org/10.1159/000519053.

Landa J et al. (2021) ‘Encephalitis with Autoantibodies against the Glutamate Kainate Receptors GluK2.’, Annals of neurology, 90(1), pp. 101–117. Available at: https://doi.org/10.1002/ana.26098.

Hardmeier M and Fuhr P. (2021) ‘Multimodal Evoked Potentials as Candidate Prognostic and Response Biomarkers in Clinical Trials of Multiple Sclerosis’, Journal of Clinical Neurophysiology, 38(3), pp. 171–180. Available at: https://doi.org/10.1097/wnp.0000000000000723.

Gschwandtner, Ute et al. (2021) ‘Dynamic Functional Connectivity of EEG: From Identifying Fingerprints to Gender Differences to a General Blueprint for the Brain’s Functional Organization’, Frontiers in Neuroscience, 15. Available at: https://doi.org/10.3389/fnins.2021.683633.

Roesch A, D et al. (2021) ‘Effects of Rhythmic Interventions on Cognitive Abilities in Parkinson’s Disease.’, Dementia and geriatric cognitive disorders, 50(4), pp. 372–386. Available at: https://doi.org/10.1159/000519122.

Rösch AD et al. (2021) ‘Evaluating a Speech-Specific and a Computerized Step-Training-Specific Rhythmic Intervention in Parkinson’s Disease: A Cross-Over, Multi-Arms Parallel Study.’, Frontiers in rehabilitation sciences, 2, p. 783259. Available at: https://doi.org/10.3389/fresc.2021.783259.

Keller S. M. et al. (2021) ‘Reduced Alpha suppression & altered EEG signal complexity in Parkinson’s disease – signatures of cognitive impairment?’ Movement Disorder Society, 36(S1). Available at: https://movementdisorders.onlinelibrary.wiley.com/toc/15318257/2021/36/S1.

Roesch A, D et al. (2021) ‘Evaluating a speech-specific and a computerized step-training-specific rhythmic intervention in PD: a cross-over, multi-arms parallel study’, Frontiers in Rehabilitation Sciences, p. 115.

Pascarelli MT et al. (2020) ‘Abnormalities of resting-state EEG in patients with prodromal and overt dementia with Lewy bodies: Relation to clinical symptoms.’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 131(11), pp. 2716–2731. Available at: https://doi.org/10.1016/j.clinph.2020.09.004.

Babiloni C et al. (2020) ‘Abnormal cortical neural synchronization mechanisms in quiet wakefulness are related to motor deficits, cognitive symptoms, and visual hallucinations in Parkinson’s disease patients: an electroencephalographic study.’, Neurobiology of aging, 91, pp. 88–111. Available at: https://doi.org/10.1016/j.neurobiolaging.2020.02.029.

Hardmeier, Martin et al. (2020) ‘Validation of quantitative scores derived from motor evoked potentials in the assessment of primary progressive multiple sclerosis: a longitudinal study’, Frontiers in neurology, 11, p. 735. Available at: https://doi.org/10.3389/fneur.2020.00735.

Jenny AL et al. (2020) ‘Nonmotor-Related Quality of Life in Parkinson’s Patients with Subjective Memory Complaints: Comparison with PDQ-39.’, Parkinson’s disease, 2020, p. 7953032. Available at: https://doi.org/10.1155/2020/7953032.

Keller, Sebastian M. et al. (2020) ‘Cognitive decline in Parkinson’s disease is associated with reduced complexity of EEG at baseline’, Brain Communications, 2(2), p. fcaa207. Available at: https://doi.org/10.1093/braincomms/fcaa207.

Kozak, Vitalii V. et al. (2020) ‘EEG Slowing and Axial Motor Impairment Are Independent Predictors of Cognitive Worsening in a Three-Year Cohort of Patients With Parkinson’s Disease’, Frontiers in Aging Neuroscience, 12, p. 171. Available at: https://doi.org/10.3389/fnagi.2020.00171.

Meyer, Antonia et al. (2020) ‘A Comparison of Serial Position Effects in Patients with Mild Cognitive Impairment due to Parkinson’s Disease or to Alzheimer’s Disease’, Dementia and Geriatric Cognitive Disorders, 49(2), pp. 170–178. Available at: https://doi.org/10.1159/000507757.

Babiloni C et al. (2019) ‘Corrigendum to ‘Functional cortical source connectivity of resting state electroencephalographic alpha rhythms shows similar abnormalities in patients with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases’ [Clin. Neurophysiol. 129 (2018) 766-782].’, 130(6). Available at: https://doi.org/10.1016/j.clinph.2019.02.006.

Babiloni C et al. (2019) ‘Abnormalities of functional cortical source connectivity of resting-state electroencephalographic alpha rhythms are similar in patients with mild cognitive impairment due to Alzheimer’s and Lewy body diseases.’, Neurobiology of aging, 77, pp. 112–127. Available at: https://doi.org/10.1016/j.neurobiolaging.2019.01.013.

Babiloni C et al. (2019) ‘Levodopa may affect cortical excitability in Parkinson’s disease patients with cognitive deficits as revealed by reduced activity of cortical sources of resting state electroencephalographic rhythms’, Neurobiology of Aging. 30.08.2018, 73, pp. 9–20. Available at: https://doi.org/10.1016/j.neurobiolaging.2018.08.010.

Chaturvedi, Menorca et al. (2019) ‘Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson’s disease’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 130(10), pp. 1937–1944. Available at: https://doi.org/10.1016/j.clinph.2019.07.017.

Hardmeier, Martin et al. (2019) ‘Multicentre assessment of motor and sensory evoked potentials in multiple sclerosis : reliability and implications for clinical trials’, Multiple sclerosis journal - experimental, translational and clinical, 5(2), p. 2055217319844796. Available at: https://doi.org/10.1177/2055217319844796.

Hatz F et al. (2019) ‘Quantitative EEG and verbal fluency in DBS patients: Comparison of stimulator-on and - Off conditions’, Frontiers in Neurology, 10(JAN). Available at: https://doi.org/10.3389/fneur.2018.01152.

Spirgi S. et al. (2019) ‘Effects of Cognitive Performance and Affective Status on Fatigue in Parkinson’s Disease’, Dementia and Geriatric Cognitive Disorders Extra, 9(3), pp. 344–351. Available at: https://doi.org/10.1159/000498883.

Fuhr P and Gschwandtner U (2018) ‘Decreased alpha2 connectivity in EEG is correlated with the cognitive and psychiatric manifestations of Parkinson’s disease.’, 129(8). Available at: https://doi.org/10.1016/j.clinph.2018.06.005.

Tomescu MI et al. (2018) ‘From swing to cane: Sex differences of EEG resting-state temporal patterns during maturation and aging.’, Developmental cognitive neuroscience, 31, pp. 58–66. Available at: https://doi.org/10.1016/j.dcn.2018.04.011.

Babiloni C et al. (2018) ‘Abnormalities of resting-state functional cortical connectivity in patients with dementia due to Alzheimer’s and Lewy body diseases: an EEG study.’, Neurobiology of aging. 30.12.2017, 65, pp. 18–40. Available at: https://doi.org/10.1016/j.neurobiolaging.2017.12.023.

Babiloni C et al. (2018) ‘Functional cortical source connectivity of resting state electroencephalographic alpha rhythms shows similar abnormalities in patients with mild cognitive impairment due to Alzheimer’s and Parkinson’s diseases.’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 31.01.2018, 129(4), pp. 766–782. Available at: https://doi.org/10.1016/j.clinph.2018.01.009.

Babiloni C et al. (2018) ‘Abnormalities of Resting State Cortical EEG Rhythms in Subjects with Mild Cognitive Impairment Due to Alzheimer’s and Lewy Body Diseases.’, Journal of Alzheimer’s disease : JAD, 62(1), pp. 247–268. Available at: https://doi.org/10.3233/jad-170703.

Gruntz, Katharina et al. (2018) ‘Reply to ‘Intriguing association of Parkinson disease and epileptic seizures’’, Annals of neurology, 84(1), pp. 162–163. Available at: https://doi.org/10.1002/ana.25252.

Gruntz, Katharina et al. (2018) ‘Parkinson disease and the risk of epileptic seizures’, Annals of Neurology, 83(2), pp. 363–374. Available at: https://doi.org/10.1002/ana.25157.

Hatz F. and Fuhr P. (2018) ‘Functional EEG connectivity alterations in Alzheimer’s disease’. Humana Press Inc.humana@humanapr.com, pp. 157–166. Available at: https://doi.org/10.1007/978-1-4939-7674-4_10.

Hardmeier M, Leocani L and Fuhr P (2017) ‘A new role for evoked potentials in MS? Repurposing evoked potentials as biomarkers for clinical trials in MS.’, Multiple sclerosis (Houndmills, Basingstoke, England), 23(10), pp. 1309–1319. Available at: https://doi.org/10.1177/1352458517707265.

Wiesli D et al. (2017) ‘Influence of Mild Cognitive Impairment, Depression, and Anxiety on the Quality of Life of Patients with Parkinson Disease.’, Dementia and geriatric cognitive disorders extra. 28.09.2017, 7(3), pp. 297–308. Available at: https://doi.org/10.1159/000478849.

Lascano AM et al. (2017) ‘Clinical evoked potentials in neurology: a review of techniques and indications.’, Journal of neurology, neurosurgery, and psychiatry, 88(8), pp. 688–696. Available at: https://doi.org/10.1136/jnnp-2016-314791.

Babiloni C et al. (2017) ‘Abnormalities of cortical neural synchronization mechanisms in patients with dementia due to Alzheimer’s and Lewy body diseases: an EEG study.’, Neurobiology of aging. 05.04.2017, 55, pp. 143–158. Available at: https://doi.org/10.1016/j.neurobiolaging.2017.03.030.

Décard, Bernhard F et al. (2017) ‘An unusual case of bilateral peroneal palsies due to fabellae.’, Neurology, 88(9), p. 918. Available at: https://doi.org/10.1212/wnl.0000000000003666.

Babiloni C et al. (2017) ‘Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study.’, Journal of Alzheimer’s disease : JAD, 59(1), pp. 339–358. Available at: https://doi.org/10.3233/jad-160883.

Chaturvedi, M. et al. (2017) ‘Quantitative EEG (QEEG) Measures Differentiate Parkinson`s Disease Patients from Healthy Controls’, Frontiers in Aging Neuroscience, 9(3), p. 3. Available at: https://doi.org/10.3389/fnagi.2017.00003.

Cozac VV et al. (2017) ‘Among Early Appearing Non-Motor Signs of Parkinson’s Disease, Alteration of Olfaction but Not Electroencephalographic Spectrum Correlates with Motor Function.’, Frontiers in neurology. 20.10.2017, 8, p. 545. Available at: https://doi.org/10.3389/fneur.2017.00545.

Eichelberger D. et al. (2017) ‘Correlation of Visuospatial Ability and EEG Slowing in Patients with Parkinson’s Disease’, Parkinson’s Disease, 2017. Available at: https://doi.org/10.1155/2017/3659784.

Hadinia, Anousha et al. (2017) ‘Cognitive behavioral group therapy reduces stress and improves the quality of life in patients with Parkinson’s Disease’, Frontiers in Psychology, 7(1975), pp. 1–9. Available at: https://doi.org/10.3389/fpsyg.2016.01975.

Hatz F et al. (2017) ‘Apathy in Patients with Parkinson’s Disease Correlates with Alteration of Left Fronto-Polar Electroencephalographic Connectivity.’, Frontiers in aging neuroscience, 9, p. 262. Available at: https://doi.org/10.3389/fnagi.2017.00262.

Sutter, Raoul et al. (2017) ‘Anesthetics and Outcome in Status Epilepticus: A Matched Two-Center Cohort Study’, CNS Drugs, 31(1), pp. 65–74. Available at: https://doi.org/10.1007/s40263-016-0389-5.

Melzer N et al. (2016) ‘Clinical features, pathogenesis, and treatment of myasthenia gravis: a supplement to the Guidelines of the German Neurological Society.’, Journal of neurology, 263(8), pp. 1473–94. Available at: https://doi.org/10.1007/s00415-016-8045-z.

Meyer A et al. (2016) ‘[German Translation and Validation of the Scale for Evaluation of Neuropsychiatric Disorders in Parkinson’s disease (SEND-PD)].’, Fortschritte der Neurologie-Psychiatrie, 84(7), pp. 421–7. Available at: https://doi.org/10.1055/s-0042-106580.

Hadinia A et al. (2016) ‘[Cognitive Behavioral Therapy for Anxiety and Depression in Patients with Parkinson’s Disease].’, Fortschritte der Neurologie-Psychiatrie, 84(6), pp. 336–43. Available at: https://doi.org/10.1055/s-0042-105762.

Grimm A et al. (2016) ‘Ultrasound and electrophysiologic findings in patients with Guillain-Barré syndrome at disease onset and over a period of six months.’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 127(2), pp. 1657–1663. Available at: https://doi.org/10.1016/j.clinph.2015.06.032.

Cozac, Vitalii V. et al. (2016) ‘Older Candidates for Subthalamic Deep Brain Stimulation in Parkinson’s Disease Have a Higher Incidence of Psychiatric Serious Adverse Events’, Frontiers in Aging Neuroscience, 8, p. 132. Available at: https://doi.org/10.3389/fnagi.2016.00132.

Cozac, Vitalii V. et al. (2016) ‘The verbal fluency decline after deep brain stimulation in Parkinson’s disease : is there an influence of age?’, Movement disorders clinical practice, 3(1), pp. 48–52. Available at: https://doi.org/10.1002/mdc3.12231.

Cozac VV et al. (2016) ‘Increase of EEG Spectral Theta Power Indicates Higher Risk of the Development of Severe Cognitive Decline in Parkinson’s Disease after 3 Years.’, Frontiers in aging neuroscience, 8, p. 284. Available at: https://doi.org/10.3389/fnagi.2016.00284.

Cozac VV et al. (2016) ‘Quantitative EEG and Cognitive Decline in Parkinson’s Disease.’, Parkinson’s disease, 2016, p. 9060649. Available at: https://doi.org/10.1155/2016/9060649.

Dahdal P et al. (2016) ‘Fine Motor Function Skills in Patients with Parkinson Disease with and without Mild Cognitive Impairment.’, Dementia and geriatric cognitive disorders, 42(3-4), pp. 127–134. Available at: https://doi.org/10.1159/000448751.

Gschwind M et al. (2016) ‘Fluctuations of spontaneous EEG topographies predict disease state in relapsing-remitting multiple sclerosis.’, NeuroImage. Clinical, 12, pp. 466–77. Available at: https://doi.org/10.1016/j.nicl.2016.08.008.

Hatz, Florian et al. (2016) ‘Reliability of functional connectivity of EEG applying microstates-segmented versus classical calculation of phase lag index’, Brain connectivity, 6(6), pp. 461–469. Available at: https://doi.org/10.1089/brain.2015.0368.

Probstel, A. K. et al. (2016) ‘Mitochondrial cytopathy with common MELAS mutation presenting as multiple system atrophy mimic’, Neurol Genet, 2(6), p. e121. Available at: https://doi.org/10.1212/nxg.0000000000000121.

Ramyead, Avinash et al. (2016) ‘Neural oscillations in antipsychotic-naïve patients with a first psychotic episode’, The world journal of biological psychiatry, 17(4), pp. 296–307. Available at: https://doi.org/10.3109/15622975.2016.1156742.

Ramyead, Avinash et al. (2016) ‘Prediction of psychosis using neural oscillations and machine learning in neuroleptic-naïve at-risk patients’, World J Biol Psychiatry, 17(4), pp. 285–95. Available at: https://doi.org/10.3109/15622975.2015.1083614.

Schlaeger, Regina et al. (2016) ‘Monitoring multiple sclerosis by multimodal evoked potentials : numerically versus ordinally scaled scoring systems’, Clinical neurophysiology, 127(3), pp. 1864–71. Available at: https://doi.org/10.1016/j.clinph.2015.11.041.

Sutter, Raoul et al. (2016) ‘Myoclonus in the critically ill: Diagnosis, management, and clinical impact’, Clinical neurophysiology, 127(1), pp. 67–80. Available at: https://doi.org/10.1016/j.clinph.2015.08.009.

Grimm A et al. (2015) ‘The Ultrasound pattern sum score - UPSS. A new method to differentiate acute and subacute neuropathies using ultrasound of the peripheral nerves.’, 126(11). Available at: https://doi.org/10.1016/j.clinph.2015.01.011.

Grimm A et al. (2015) ‘Neurological picture. Vagal hypertrophy in immune-mediated neuropathy visualised with high-resolution ultrasound (HR-US).’, Journal of neurology, neurosurgery, and psychiatry, 86(11), pp. 1277–8. Available at: https://doi.org/10.1136/jnnp-2014-308271.

Grimm A et al. (2015) ‘Long-term observations in asymmetric immune-mediated neuropathy with vagus hypertrophy using ultrasound of the nerves.’, 356(1-2). Available at: https://doi.org/10.1016/j.jns.2015.06.018.

Décard, Bernhard F et al. (2015) ‘Hepatitis-E virus associated neuralgic amyotrophy with sustained plexus brachialis swelling visualized by high-resolution ultrasound.’, 351(1-2). Available at: https://doi.org/10.1016/j.jns.2015.03.003.

Fuhr, Peter and Schindler, Christian (2015) ‘Clinical Neurophysiology in multiple sclerosis : from diagnostic tool to biomarker’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, pp. 7–9. Available at: https://doi.org/10.1016/j.clinph.2014.06.003.

Fuhr, Peter, Zimmermann, Ronan and Gschwandtner, Ute (2015) ‘Author response.’, Neurology, 84(1), pp. 104–5.

Hatz, F et al. (2015) ‘Reliability of fully automated versus visually controlled pre- and post-processing of resting-state EEG’, Clinical neurophysiology, 126(2), pp. 268–74. Available at: https://doi.org/10.1016/j.clinph.2014.05.014.

Hatz, Florian et al. (2015) ‘Microstate connectivity alterations in patients with early Alzheimer’s disease’, Alzheimer’s research & therapy, 7, p. 78. Available at: https://doi.org/10.1186/s13195-015-0163-9.

Ramyead, Avinash et al. (2015) ‘Aberrant current source-density and lagged phase synchronization of neural oscillations as markers for emerging psychosis’, Schizophrenia Bulletin, 41(4), pp. 919–29. Available at: https://doi.org/10.1093/schbul/sbu134.

Zimmermann, R. et al. (2015) ‘Correlation of EEG slowing with cognitive domains in nondemented patients with Parkinson’s disease’, Dementia and Geriatric Cognitive Disorders, 39(3-4), pp. 207–14. Available at: https://doi.org/10.1159/000370110.

Fuhr,Peter, Zimmermann,Ronan and Gschwandtner,Ute (2015) ‘Author response.’, Neurology, 84(2), pp. 104–5.

Pollo C et al. (2014) ‘Directional deep brain stimulation: an intraoperative double-blind pilot study.’, Brain : a journal of neurology, 137(Pt 7), pp. 2015–26. Available at: https://doi.org/10.1093/brain/awu102.

Benz, Nina et al. (2014) ‘Slowing of EEG background activity in Parkinson’s and Alzheimer’s disease with early cognitive dysfunction’, Frontiers in aging neuroscience, 6, p. 314. Available at: https://doi.org/10.3389/fnagi.2014.00314.

Hardmeier, Martin et al. (2014) ‘Reproducibility of functional connectivity and graph measures based on the Phase Lag Index (PLI) and weighted Phase Lag Index (wPLI) derived from high resolution EEG’, PLoS ONE, 9(10), p. e108648. Available at: https://doi.org/10.1371/journal.pone.0108648.

Hardmeier, Martin et al. (2014) ‘Improved characterization of visual evoked potentials in multiple sclerosis by topographic analysis’, Brain topography : a journal of cerebral function and dynamics, 27(2), pp. 318–27. Available at: https://doi.org/10.1007/s10548-013-0318-6.

Meyer, Antonia et al. (2014) ‘Apathy in Parkinson’s disease is related to executive function, gender and age but not to depression’, Frontiers in aging neuroscience, 6, p. 350. Available at: https://doi.org/10.3389/fnagi.2014.00350.

Pipis M. et al. (2014) ‘Tremor Tremor’, Praxis, 103(8), pp. 465–467. Available at: https://doi.org/10.1024/1661-8157/a001622.

Schlaeger, R et al. (2014) ‘Prediction of MS disability by multimodal evoked potentials : investigation during relapse or in the relapse-free interval?’, Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 125(9), pp. 1889–92. Available at: https://doi.org/10.1016/j.clinph.2013.12.117.

Schlaeger, Regina et al. (2014) ‘Electrophysiological markers and predictors of the disease course in primary progressive multiple sclerosis’, Multiple Sclerosis Journal, 20(1), pp. 51–6. Available at: https://doi.org/10.1177/1352458513490543.

Schlaeger, Regina et al. (2014) ‘Combined visual and motor evoked potentials predict multiple sclerosis disability after 20 years’, Multiple Sclerosis Journal, 20(10), pp. 1348–54. Available at: https://doi.org/10.1177/1352458514525867.

Sutter, Raoul et al. (2014) ‘Anesthetic drugs in status epilepticus: risk or rescue : a 6-year cohort study’, Neurology, 82(8), pp. 656–64. Available at: https://doi.org/10.1212/wnl.0000000000000009.

Zimmermann, Ronan et al. (2014) ‘Cognitive training in Parkinson disease: cognition-specific vs nonspecific computer training’, Neurology, 82(14), pp. 1219–26. Available at: https://doi.org/10.1212/wnl.0000000000000287.

Fuhr P et al. (2013) ‘[Practical aspects of the treatment of Parkinson’s disease].’, Praxis, 102(16), pp. 981–5. Available at: https://doi.org/10.1024/1661-8157/a001375.

Hatz, F. et al. (2013) ‘Quantitative EEG and apolipoprotein E-genotype improve classification of patients with suspected Alzheimer’s disease’, Clinical Neurophysiology, 124(11), pp. 2146–52. Available at: https://doi.org/10.1016/j.clinph.2013.04.339.

Peyer, Anne-Kathrin et al. (2013) ‘Novel valosin containing protein mutation in a Swiss family with hereditary inclusion body myopathy and dementia’, Neuromuscular disorders, 23(2), pp. 149–54. Available at: https://doi.org/10.1016/j.nmd.2012.09.009.

Riecher-Rössler, A. et al. (2013) ‘[Prediction of psychosis by stepwise multilevel assessment--the Basel FePsy (Early Recognition of Psychosis)-Project]’, Fortschritte der Neurologie - Psychiatrie, 81(5), pp. 265–75. Available at: https://doi.org/10.1055/s-0033-1335017.

Schlaeger R, Hardmeier M and Fuhr P (2013) ‘Superficial brain stimulation in multiple sclerosis.’, Handbook of clinical neurology, 116, pp. 577–84. Available at: https://doi.org/10.1016/b978-0-444-53497-2.00046-2.