Katerina Placek

ORCID: 0000-0002-0832-6684
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About
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Research Areas
  • Amyotrophic Lateral Sclerosis Research
  • Parkinson's Disease Mechanisms and Treatments
  • Alzheimer's disease research and treatments
  • Neurobiology of Language and Bilingualism
  • Neural dynamics and brain function
  • Memory and Neural Mechanisms
  • Dementia and Cognitive Impairment Research
  • Memory Processes and Influences
  • Prion Diseases and Protein Misfolding
  • Pain Mechanisms and Treatments
  • Stroke Rehabilitation and Recovery
  • Neurogenetic and Muscular Disorders Research
  • Pain Management and Placebo Effect
  • Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Voice and Speech Disorders
  • Phonetics and Phonology Research
  • Disaster Response and Management
  • Blood Pressure and Hypertension Studies
  • Language Development and Disorders
  • Neuroscience and Neuropharmacology Research
  • Cerebrovascular and genetic disorders
  • Biochemical Acid Research Studies
  • Emotion and Mood Recognition
  • Advanced Neuroimaging Techniques and Applications
  • Cardiovascular and exercise physiology

Takeda (United States)
2021-2024

Takeda (Japan)
2022

University of Pennsylvania
2016-2020

Gates (United States)
2018

Philadelphia University
2017

St. Mary's College of Maryland
2013

The intention to forget can produce long-lasting effects. This ability has been linked suppression of both rehearsal and retrieval unwanted memories, processes mediated by the prefrontal cortex hippocampus. Here, we describe an alternative account in which is associated with increased engagement information. We used pattern classifiers decode human functional magnetic resonance imaging data from a task male female participants viewed series pictures were instructed remember or each one....

10.1523/jneurosci.2033-18.2019 article EN Journal of Neuroscience 2019-03-11

To evaluate if cognitive reserve (CR) contributes to interindividual differences in frontal gray matter density (GMD) and executive impairment that underlie heterogeneity the disease course of confirmed frontotemporal lobar degeneration (FTLD) pathology.Fifty-five patients with autopsy confirmation or a pathogenic mutation consistent underlying tau (FTLD-tau) TDP-43 (FTLD-TDP) pathology 90 demographically comparable healthy controls were assessed T1 MRI neuropsychological measures...

10.1212/wnl.0000000000003250 article EN Neurology 2016-09-29

Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction commonly observed in patients; however, factors influencing risk for cognitive remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we that single nucleotide polymorphisms collectively associate with baseline performance large ALS patient cohort (N = 327) from the multicenter Clinical Research...

10.15252/emmm.202012595 article EN cc-by EMBO Molecular Medicine 2020-12-03

Frontotemporal Dementia (FTD) encompasses a diverse group of progressive neurodegenerative diseases that impact speech production and comprehension, higher-order cognition, behavior, motor control. Traditional acoustic markers have been extensively studied in FTD, as assessments capturing apathy impairments recognizing expressing emotion. This work leverages machine learning to track changes emotional content within the individuals with FTD healthy controls. The aim project is develop tools...

10.1109/access.2024.3402999 article EN cc-by-nc-nd IEEE Access 2024-01-01

Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), neural network-based automatic predictor from recordings patients. By taking advantage high-quality pretrained features information in the recordings, our best model achieves 91.0\% AUC, improving upon previous by 5.6\% relative on TDI dataset. Careful analysis reveals that ALST is...

10.48550/arxiv.2406.18625 preprint EN arXiv (Cornell University) 2024-06-26

Automatic prediction of amyotrophic lateral sclerosis (ALS) disease progression provides a more efficient and objective alternative than manual approaches. We propose ALS longitudinal speech transformer (ALST), neural network-based automatic predictor from recordings patients. By taking advantage high-quality pretrained features information in the recordings, our best model achieves 91.0%AUC, improving upon previous by 5.6% relative on TDI dataset. Careful analysis reveals that ALST is...

10.21437/interspeech.2024-158 article EN Interspeech 2022 2024-09-01

Abstract Amyotrophic lateral sclerosis (ALS) is a multi-system disease characterized primarily by progressive muscle weakness. Cognitive dysfunction commonly observed in patients, however factors influencing risk for cognitive remain elusive. Using sparse canonical correlation analysis (sCCA), an unsupervised machine-learning technique, we that single nucleotide polymorphisms collectively associate with baseline performance large ALS patient cohort (N=327) from the multicenter Clinical...

10.1101/2019.12.23.19014407 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2019-12-27

Impaired repetition is a characteristic of several speech and language disorders, including certain variants Primary Progressive Aphasia (PPA). People with the logopenic variant PPA (lvPPA) can present impaired abilities tasks be used to distinguish lvPPA speakers from healthy controls. In this paper, we propose novel technique for quantifying quality in recordings demonstrate utility by using it between speakers. We train classifiers on features extracted recordings. The best classifier...

10.1109/icassp43922.2022.9746627 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022-04-27

OBJECTIVE: To evaluate whether cognitive reserve (CR) is associated with cognition and frontal grey matter (GM) in amyotrophic lateral sclerosis (ALS). BACKGROUND: Evidence suggests a clinicopathological spectrum between ALS frontotemporal degeneration (FTD): approximately 40[percnt] of patients have mild impairment (MCI) or FTD, both diseases share TDP-43 pathology. However, the mechanisms underlying heterogeneity remain unclear. CR, measurement lifetime intellectual experience, longer...

10.1212/wnl.86.16_supplement.p6.245 article EN Neurology 2016-04-05

Blood pressure (BP) is a vital sign used by clinicians to assess patient health and safety in clinical trials. As decentralized trials (DCT) reduce the number of clinic visits for patients, it necessary enable patients accurately measure BP home environment using validated friendly tools. Smart monitors are available consumers, but require validation usability testing prior implementation DCTs.

10.1016/j.cvdhj.2023.11.009 article EN cc-by-nc-nd Cardiovascular Digital Health Journal 2023-12-01

To investigate early markers of neurodegeneration examining overlapping and distinct patterns grey matter (GM) atrophy cerebral blood flow (CBF) alterations across the amyotrophic lateral sclerosis (ALS) frontotemporal lobar degeneration (FTLD) continuum.

10.1212/wnl.88.16_supplement.p2.087 article EN Neurology 2017-04-18

Abstract Perceptual decision-making is commonly studied using stimuli with different physical properties but of comparable affective value. Here, we investigate neural processes underlying human perceptual decisions in the affectively rich domain pain a drift-diffusion model combination probabilistic cueing paradigm. This allowed us to characterize novel role for dorsolateral prefrontal cortex (DLPFC), whose anticipatory responses reflecting decision bias were dependent on value stimulus....

10.1101/449652 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2018-10-22

ABSTRACT The intention to forget can produce long-lasting effects. This ability has been linked suppression of both rehearsal and retrieval unwanted memories – processes that are mediated by prefrontal cortex hippocampus. Here, we describe an alternative account deliberate forgetting in which the is associated with increased engagement information. We used pattern classifiers decode functional magnetic resonance imaging (fMRI) data from a task participants viewed series pictures were...

10.1101/286534 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-03-23

May 6, 2019April 9, 2019Free AccessMultimodal Characterization of Delayed Diagnosis in ALS (S13.009)Pilar M. Ferraro, Josephine I. Cooke, Laura Hennessy, Katerina Placek, Murray Grossman, Colin Quinn, Leo McCluskey, Lauren Elman, and Corey T. McMillanAuthors Info & AffiliationsApril 2019 issue92 (15_supplement)https://doi.org/10.1212/WNL.92.15_supplement.S13.009 Letters to the Editor

10.1212/wnl.92.15_supplement.s13.009 article EN Neurology 2019-04-09

Abstract Background Macro‐ and micro‐structural degeneration in cortical grey matter (CGM) accompany the progression of frontotemporal lobar (FTLD). The former can be measured by brain volumetry from magnetic resonance imaging (MRI) latter mean diffusivity (MD) diffusion tensor (DTI). While disease‐modifying treatment is expected to slow both metrics, unexpected effects such as inflammation may alter relationship between them. Here, we evaluate cross‐sectional longitudinal relationships...

10.1002/alz.051717 article EN Alzheimer s & Dementia 2021-12-01
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