Guillermo Cecchi

ORCID: 0000-0003-1013-8348
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About
Contact & Profiles
Research Areas
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Mental Health Research Topics
  • Mental Health via Writing
  • Neural Networks and Applications
  • Digital Mental Health Interventions
  • Schizophrenia research and treatment
  • Advanced Neuroimaging Techniques and Applications
  • Topic Modeling
  • Olfactory and Sensory Function Studies
  • Psychosomatic Disorders and Their Treatments
  • Advanced Bandit Algorithms Research
  • Musculoskeletal pain and rehabilitation
  • Visual perception and processing mechanisms
  • Machine Learning in Healthcare
  • EEG and Brain-Computer Interfaces
  • Advanced Chemical Sensor Technologies
  • Advanced MRI Techniques and Applications
  • Mental Health and Psychiatry
  • Pain Management and Placebo Effect
  • Gene Regulatory Network Analysis
  • Neurobiology of Language and Bilingualism
  • Amyotrophic Lateral Sclerosis Research
  • Voice and Speech Disorders
  • Bioinformatics and Genomic Networks

IBM (United States)
2015-2025

IBM Research - Thomas J. Watson Research Center
2016-2025

University of Pisa
2025

Cornell University
2001-2023

City College of New York
2023

Columbia University
2023

University of Washington
2021

Icahn School of Medicine at Mount Sinai
2020

Beth Israel Deaconess Medical Center
2020

Taconic (United States)
2009-2019

Functional magnetic resonance imaging is used to extract functional networks connecting correlated human brain sites. Analysis of the resulting in different tasks shows that (a) distribution connections, and probability finding a link versus distance are both scale-free, (b) characteristic path length small comparable with those equivalent random networks, (c) clustering coefficient orders magnitude larger than networks. All these properties, typical scale-free small-world reflect important...

10.1103/physrevlett.94.018102 article EN Physical Review Letters 2005-01-06

Psychiatry lacks the objective clinical tests routinely used in other specializations. Novel computerized methods to characterize complex behaviors such as speech could be identify and predict psychiatric illness individuals.In this proof-of-principle study, our aim was test automated analyses combined with Machine Learning later psychosis onset youths at high-risk (CHR) for psychosis.Thirty-four CHR (11 females) had baseline interviews were assessed quarterly up 2.5 years; five transitioned...

10.1038/npjschz.2015.30 article EN cc-by Schizophrenia 2015-08-25

Language and speech are the primary source of data for psychiatrists to diagnose treat mental disorders. In psychosis, very structure language can be disturbed, including semantic coherence (e.g., derailment tangentiality) syntactic complexity concreteness). Subtle disturbances in evident schizophrenia even prior first psychosis onset, during prodromal stages. Using computer-based natural processing analyses, we previously showed that, among English-speaking clinical ultra) high-risk youths,...

10.1002/wps.20491 article EN World Psychiatry 2018-01-19

How will this molecule smell? We still do not understand what a given substance smell like. Keller et al. launched an international crowd-sourced competition in which many teams tried to solve how the of be perceived by humans. The were access database responses from subjects who had sniffed large number molecules and been asked rate each across range different qualities. also comprehensive list physical chemical features smelled. produced algorithms predict correspondence between quality...

10.1126/science.aal2014 article EN Science 2017-02-20

The COVID-19 pandemic is impacting mental health, but it not clear how people with different types of health problems were differentially impacted as the initial wave cases hit.

10.2196/22635 article EN cc-by Journal of Medical Internet Research 2020-09-13

Background Psychosis has various causes, including mania and schizophrenia. Since the differential diagnosis of psychosis is exclusively based on subjective assessments oral interviews with patients, an objective quantification speech disturbances that characterize schizophrenia in order. In principle, such could be achieved by analysis graphs. A graph represents a network nodes connected edges; graphs, correspond to words edges semantic grammatical relationships. Methodology/Principal...

10.1371/journal.pone.0034928 article EN cc-by PLoS ONE 2012-04-09
Emily G. Baxi Terri G. Thompson Jonathan Li Julia Kaye Ryan G. Lim and 95 more Jie Wu Divya Ramamoorthy Leandro de Araújo Lima Vineet Vaibhav Andrea Matlock Aaron P. Frank Alyssa N. Coyne Barry Landin Loren Ornelas Elizabeth Mosmiller Sara Thrower S. Michelle Farr Lindsey Panther Emilda Gomez Erick Galvez Daniel I. Pérez Imara Meepe Susan Lei Berhan Mandefro Hannah Trost Louis Pinedo Maria G. Bañuelos Chunyan Liu Ruby Moran Veronica J. Garcia Michael J. Workman Ritchie Ho Stacia K. Wyman Jennifer Roggenbuck Matthew B. Harms Jennifer Stocksdale Ricardo Miramontes Keona Wang Vidya Venkatraman Ronald Holewenski Niveda Sundararaman Rakhi Pandey Danica-Mae Manalo Aneesh Donde Nhan Huynh Miriam Adam Brook T. Wassie Edward Vertudes Naufa Amirani Krishna Raja Reuben Thomas Lindsey R. Hayes Alex Lenail Aianna Cerezo Sarah Luppino Alanna Farrar Lindsay Pothier Carolyn Prina Todd E. Morgan Arish Jamil Sarah Heintzman Jennifer Jockel‐Balsarotti Elizabeth Karanja Jesse Markway Molly McCallum Ben Joslin Deniz Alibazoglu Stephen J. Kolb Senda Ajroud‐Driss Robert H. Baloh Daragh Heitzman T. W. Miller Jonathan D. Glass Natasha Leanna Patel-Murray Hong Yu Ervin Sinani Prasha Vigneswaran Alexander Sherman Omar Ahmad Promit Roy Jay Beavers Steven R. Zeiler John W. Krakauer Carla Agurto Guillermo Cecchi Mary Bellard Yogindra Raghav Karen Sachs Tobias Ehrenberger Elizabeth Bruce Merit Cudkowicz Nicholas J. Maragakis Raquel Norel Jennifer E. Van Eyk Steven Finkbeiner James Berry Dhruv Sareen Leslie M. Thompson Ernest Fraenkel Clive N. Svendsen

Answer ALS is a biological and clinical resource of patient-derived, induced pluripotent stem (iPS) cell lines, multi-omic data derived from iPS neurons longitudinal smartphone over 1,000 patients with ALS. This provides population-level that may be employed to identify clinical-molecular-biochemical subtypes amyotrophic lateral sclerosis (ALS). A unique smartphone-based system was collect deep data, including fine motor activity, speech, breathing linguistics/cognition. The spinal were...

10.1038/s41593-021-01006-0 article EN cc-by Nature Neuroscience 2022-02-01

Abstract Neuroimaging with MRI has been a frequent component of studies individuals at clinical high risk (CHR) for developing psychosis, goals understanding potential brain regions and systems impacted in the CHR state identifying prognostic or predictive biomarkers that can enhance our ability to forecast outcomes. To date, most involving are likely not sufficiently powered generate robust generalizable neuroimaging results. Here, we describe prospective, advanced, modern protocol was...

10.1038/s41537-025-00581-6 article EN cc-by Schizophrenia 2025-04-02

Abstract Modern research management, particularly for publicly funded studies, assumes a data governance model in which grantees are considered stewards rather than owners of important sets. Thus, there is an expectation that collected shared as widely possible with the general community. This presents problems complex studies involve sensitive health information. The latter requires balancing participant privacy needs Here, we report on operation ecosystem crafted Accelerating Medicines...

10.1038/s41537-025-00560-x article EN cc-by Schizophrenia 2025-04-03

To understand how the human visual system analyzes images, it is essential to know structure of environment. In particular, natural images display consistent statistical properties that distinguish them from random luminance distributions. We have studied geometric regularities oriented elements (edges or line segments) present in an ensemble scenes, asking much information presence a segment particular location scene carries about second at different relative positions and orientations....

10.1073/pnas.98.4.1935 article EN Proceedings of the National Academy of Sciences 2001-02-06

The lexicon consists of a set word meanings and their semantic relationships. A systematic representation the English based in psycholinguistic considerations has been put together database Wordnet long-term collaborative effort. We present here quantitative study graph structure to understand global organization lexicon. Semantic links follow power-law, scale-invariant behaviors typical self-organizing networks. Polysemy (the ambiguity an individual word) is one network, relating different...

10.1073/pnas.022341799 article EN Proceedings of the National Academy of Sciences 2002-02-05

The hallucinogenic brew Ayahuasca, a rich source of serotonergic agonists and reuptake inhibitors, has been used for ages by Amazonian populations during religious ceremonies. Among all perceptual changes induced the most remarkable are vivid "seeings." During such seeings, users report potent imagery. Using functional magnetic resonance imaging closed-eyes imagery task, we found that Ayahuasca produces robust increase in activation several occipital, temporal, frontal areas. In primary...

10.1002/hbm.21381 article EN Human Brain Mapping 2011-09-16

The aim of this study is to use classification methods predict future onset Alzheimer's disease in cognitively normal subjects through automated linguistic analysis.To performance as an early biomarker AD, we performed predictive modeling diagnosis AD from a baseline Framingham Heart Study participants. variables were derived written responses the cookie-theft picture-description task. We compared with clinical and neuropsychological variables. included 703 samples 270 participants out which...

10.1016/j.eclinm.2020.100583 article EN cc-by-nc-nd EClinicalMedicine 2020-10-23

What aspects of neuronal activity distinguish the conscious from unconscious brain? This has been a subject intense interest and debate since early days neurophysiology. However, as any practicing anesthesiologist can attest, it is currently not possible to reliably state an one on basis brain activity. Here we approach this problem perspective dynamical systems theory. We argue that brain, system, self-regulated at boundary between stable unstable regimes, allowing in particular maintain...

10.1523/jneurosci.4895-14.2015 article EN Journal of Neuroscience 2015-07-29

Prototypical examples that best summarize and compactly represent an underlying complex data distribution, communicate meaningful insights to humans in domains where simple explanations are hard extract. In this paper, we present algorithms with strong theoretical guarantees mine these sets select prototypes, a.k.a. representatives optimally describes them. Our work notably generalizes the recent by Kim et al. (2016) addition selecting also associate non-negative weights which indicative of...

10.1109/icdm.2019.00036 article EN 2021 IEEE International Conference on Data Mining (ICDM) 2019-11-01

The placebo response is universally observed in clinical trials of pain treatments, yet the individual characteristics rendering a patient 'placebo responder' remain unclear. Here, chronic back patients, we demonstrate using MRI and fMRI that to 'analgesic' pills depends on brain structure function. Subcortical limbic volume asymmetry, sensorimotor cortical thickness, functional coupling prefrontal regions, anterior cingulate, periaqueductal gray were predictive response. These neural traits...

10.1038/s41467-018-05859-1 article EN cc-by Nature Communications 2018-08-17

The Accelerating Medicines Partnership® Schizophrenia (AMP® SCZ) project assesses a large sample of individuals at clinical high-risk for developing psychosis (CHR) and community controls. Subjects are enrolled in 43 sites across 5 continents. assessments include domains similar to those acquired previous CHR studies along with novel that collected longitudinally period 2 years. In parallel the data acquisition, multidisciplinary teams experts have been working formulate analysis strategy...

10.1038/s41537-025-00561-w article EN cc-by-nc-nd Schizophrenia 2025-04-03

10.1016/s0896-6273(00)80545-0 article EN publisher-specific-oa Neuron 1998-08-01

We present a model of sound production in songbird's vocal organ and find that much the complexity song canary (Serinus canaria) can be produced from simple time variations forcing functions. The starts, stops, pauses between syllables, as well variation pitch timbre are inherent mechanics often expressed through smooth frequency relative phase two driving parameters

10.1103/physrevlett.87.208101 article EN Physical Review Letters 2001-10-26
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