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  1. Article ; Online: Reversing food preference through multisensory exposure.

    Chatterjee, Avishek / Mazumder, Satyaki / Das, Koel

    PloS one

    2023  Volume 18, Issue 7, Page(s) e0288695

    Abstract: Experiencing food craving is nearly ubiquitous and has several negative pathological impacts prompting an increase in recent craving-related research. Food cue-reactivity tasks are often used to study craving, but most paradigms ignore the individual ... ...

    Abstract Experiencing food craving is nearly ubiquitous and has several negative pathological impacts prompting an increase in recent craving-related research. Food cue-reactivity tasks are often used to study craving, but most paradigms ignore the individual food preferences of participants, which could confound the findings. We explored the neuropsychological correlates of food craving preference using psychophysical tasks on human participants considering their individual food preferences in a multisensory food exposure set-up. Participants were grouped into Liked Food Exposure (LFE), Disliked Food Exposure (DFE), and Neutral Control (NEC) based on their preference for sweet and savory items. Participants reported their momentary craving for the displayed food stimuli through the desire scale and bidding scale (willingness to pay) pre and post multisensory exposure. Participants were exposed to food items they either liked or disliked. Our results asserted the effect of the multisensory food exposure showing a statistically significant increase in food craving for DFE participants postexposure to disliked food items. Using computational models and statistical methods, we also show that the desire for food does not necessarily translate to a willingness to pay every time, and instantaneous subjective valuation of food craving is an important parameter for subsequent action. Our results further demonstrate the role of parietal N200 and centro-parietal P300 in reversing food preference and possibly point to the decrease of inhibitory control in up-regulating craving for disliked food.
    MeSH term(s) Humans ; Food Preferences/psychology ; Cues ; Craving/physiology ; Food ; Emotions
    Language English
    Publishing date 2023-07-20
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0288695
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine: A Deterministic Simulation Study.

    Chatterjee, Avishek / Woodruff, Henry / Wu, Guangyao / Lambin, Philippe

    Frontiers in medicine

    2021  Volume 8, Page(s) 640854

    Language English
    Publishing date 2021-05-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2021.640854
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  3. Article ; Online: Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine

    Avishek Chatterjee / Henry Woodruff / Guangyao Wu / Philippe Lambin

    Frontiers in Medicine, Vol

    A Deterministic Simulation Study

    2021  Volume 8

    Keywords precision oncology ; precision medicine ; odds ratio ; risk ratio ; prediction model ; Medicine (General) ; R5-920
    Language English
    Publishing date 2021-05-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape.

    Chatterjee, Avishek / Nardi, Cosimo / Oberije, Cary / Lambin, Philippe

    Journal of personalized medicine

    2021  Volume 11, Issue 4

    Abstract: Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture ... ...

    Abstract Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective.
    Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise.
    Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis.
    Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.
    Language English
    Publishing date 2021-04-14
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm11040300
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  5. Article ; Online: Knowledge Graphs for COVID-19

    Avishek Chatterjee / Cosimo Nardi / Cary Oberije / Philippe Lambin

    Journal of Personalized Medicine, Vol 11, Iss 300, p

    An Exploratory Review of the Current Landscape

    2021  Volume 300

    Abstract: Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that ...

    Abstract Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was “covid-19 knowledge graph”. In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.
    Keywords COVID-19 ; knowledge graph ; natural language processing ; drug repurposing ; Medicine ; R
    Subject code 306
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Investigating the impact of the CT Hounsfield unit range on radiomic feature stability using dual energy CT data.

    Chatterjee, Avishek / Valliéres, Martin / Forghani, Reza / Seuntjens, Jan

    Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

    2021  Volume 88, Page(s) 272–277

    Abstract: Purpose: Radiomic texture calculation requires discretizing image intensities within the region-of-interest. FBN (fixed-bin-number), FBS (fixed-bin-size) and FBN and FBS with intensity equalization (FBNequal, FBSequal) are four discretization approaches. ...

    Abstract Purpose: Radiomic texture calculation requires discretizing image intensities within the region-of-interest. FBN (fixed-bin-number), FBS (fixed-bin-size) and FBN and FBS with intensity equalization (FBNequal, FBSequal) are four discretization approaches. A crucial choice is the voxel intensity (Hounsfield units, or HU) binning range. We assessed the effect of this choice on radiomic features.
    Methods: The dataset comprised 95 patients with head-and-neck squamous-cell-carcinoma. Dual energy CT data was reconstructed at 21 electron energies (40, 45,… 140 keV). Each of 94 texture features were calculated with 64 extraction parameters. All features were calculated five times: original choice, left shift (-10/-20 HU), right shift (+10/+20 HU). For each feature, Spearman correlation between nominal and four variants were calculated to determine feature stability. This was done for six texture feature types (GLCM, GLRLM, GLSZM, GLDZM, NGTDM, and NGLDM) separately. This analysis was repeated for the four binning algorithms. Effect of feature instability on predictive ability was studied for lymphadenopathy as endpoint.
    Results: FBN and FBNequal algorithms showed good stability (correlation values consistently >0.9). For FBS and FBSequal algorithms, while median values exceeded 0.9, the 95% lower bound decreased as a function of energy, with poor performance over the entire spectrum. FBNequal was the most stable algorithm, and FBS the least.
    Conclusions: We believe this is the first multi-energy systematic study of the impact of CT HU range used during intensity discretization for radiomic feature extraction. Future analyses should account for this source of uncertainty when evaluating the robustness of their radiomic signature.
    MeSH term(s) Algorithms ; Humans ; Image Processing, Computer-Assisted ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-07-27
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 1122650-x
    ISSN 1724-191X ; 1120-1797
    ISSN (online) 1724-191X
    ISSN 1120-1797
    DOI 10.1016/j.ejmp.2021.07.023
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    Zs.B 2941: Show issues Location:
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  7. Article ; Online: Morpho-molecular variability of different isolates of Ustilagonoidea virens causing false smut of rice

    Thapa, Sukram / Mahapatra, Sunita / Baral, Deewakar / Chatterjee, Avishek / Shivakoty, Pravesh / Subba, Bikash / Das, Srikanta

    Archives of Phytopathology and Plant Protection. 2023 Apr. 3, v. 56, no. 6 p.489-502

    2023  

    Abstract: Spore balls of false smut of rice caused by Ustilagonoidea virens were collected from different major rice belts of eastern part of India. Ten isolates from ten different locations were collected and isolated in the laboratory for their, cultural, ... ...

    Abstract Spore balls of false smut of rice caused by Ustilagonoidea virens were collected from different major rice belts of eastern part of India. Ten isolates from ten different locations were collected and isolated in the laboratory for their, cultural, morphological and molecular characterization. Potato sucrose agar media was used for their cultural studies and observation on colony diameter, colour and sporulation were made. Spores of all the isolates were observed under scanning electron microscope (SEM) and light microscope for spore size, spine length and colour. Differences in colony characters were observed where the highest mycelial growth was observed in isolate Uv2 with 5.33 cm colony diameter and lowest mycelial growth was observed in Uv9 (3.70 cm). Most of the isolates produced white and circular colony. Spores of all the isolates observed under a light microscope appeared to be olive green in colour, however, a significant variation in spore size and spike length under SEM was observed. Spores size and spike length of different isolates ranged between 4.533 μm to 6.169 μm and 362.567 nm to 799.533 nm, respectively. For genetic identification and variability, DNAs of isolates were amplified using ITS1 and ITS 4 primers. The length of nucleotide sequences of different isolates varied from 583 to 606 bp. Phylogenetic analysis revealed genetic variation among the isolates, dividing them into two major groups.
    Keywords color ; culture media ; false smut ; genetic testing ; genetic variation ; light microscopes ; mycelium ; phylogeny ; plant pathology ; plant protection ; rice ; spores ; sporulation ; India ; Electron microscopy ; morphology ; variability
    Language English
    Dates of publication 2023-0403
    Size p. 489-502.
    Publishing place Taylor & Francis
    Document type Article ; Online
    ZDB-ID 2068307-8
    ISSN 1477-2906 ; 0323-5408
    ISSN (online) 1477-2906
    ISSN 0323-5408
    DOI 10.1080/03235408.2023.2208359
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Reply to "COVID-19 prediction models should adhere to methodological and reporting standards".

    Wu, Guangyao / Woodruff, Henry C / Chatterjee, Avishek / Lambin, Philippe

    The European respiratory journal

    2020  Volume 56, Issue 3

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Humans ; Models, Theoretical ; Pandemics ; Pneumonia, Viral ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-09-10
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 639359-7
    ISSN 1399-3003 ; 0903-1936
    ISSN (online) 1399-3003
    ISSN 0903-1936
    DOI 10.1183/13993003.02918-2020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2322: Show issues Location:
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    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
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  9. Book ; Online: Reversing Food Craving Preference Through Multisensory Exposure

    Chatterjee, Avishek / Mazumder, satyaki / Das, Koel

    2022  

    Abstract: Experiencing food craving is nearly ubiquitous and has several negative pathological impacts, but effective intervention strategies to control or reverse craving remain limited. Food cue-reactivity tasks are often used to study food craving but most ... ...

    Abstract Experiencing food craving is nearly ubiquitous and has several negative pathological impacts, but effective intervention strategies to control or reverse craving remain limited. Food cue-reactivity tasks are often used to study food craving but most paradigms ignore individual food preferences, which could confound the findings. We explored the possibility of reversing food craving preference using psychophysical tasks on human participants considering their individual food preferences in a multisensory food exposure set-up. Participants were grouped into Positive Control (PC), Negative Control (NC), and Neutral Control (NEC) based on their preference for sweet and savory items. Participants reported their momentary craving of the displayed food stimuli through desire scale and bidding scale (willingness to pay) pre and post multisensory exposure. Participants were exposed to food items they either liked or disliked. Our results asserted the effect of the multisensory food exposure showing statistically significant increase in food craving for negative control post-exposure to disliked food items. Using computational model and statistical methods we also show that desire for food does not necessarily translate to willingness to pay every time and instantaneous subjective valuation of food craving is an important parameter for subsequent action. Our results further demonstrate the role of parietal N200 and centro-parietal P300 in reversing craving preference.
    Keywords Quantitative Biology - Neurons and Cognition
    Publishing date 2022-04-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Improving shared decision making for lung cancer treatment by developing and validating an open-source web based patient decision aid for stage I-II non-small cell lung cancer.

    Halilaj, Iva / Ankolekar, Anshu / Lenaers, Anouk / Chatterjee, Avishek / Oberije, Cary J G / Eppings, Lisanne / Smit, Hans J M / Hendriks, Lizza E L / Jochems, Arthur / Lieverse, Relinde I Y / van Timmeren, Janita E / Wind, Anke / Lambin, Philippe

    Frontiers in digital health

    2024  Volume 5, Page(s) 1303261

    Abstract: The aim of this study was to develop and evaluate a proof-of-concept open-source individualized Patient Decision Aid (iPDA) with a group of patients, physicians, and computer scientists. The iPDA was developed based on the International Patient Decision ... ...

    Abstract The aim of this study was to develop and evaluate a proof-of-concept open-source individualized Patient Decision Aid (iPDA) with a group of patients, physicians, and computer scientists. The iPDA was developed based on the International Patient Decision Aid Standards (IPDAS). A previously published questionnaire was adapted and used to test the user-friendliness and content of the iPDA. The questionnaire contained 40 multiple-choice questions, and answers were given on a 5-point Likert Scale (1-5) ranging from "strongly disagree" to "strongly agree." In addition to the questionnaire, semi-structured interviews were conducted with patients. We performed a descriptive analysis of the responses. The iPDA was evaluated by 28 computer scientists, 21 physicians, and 13 patients. The results demonstrate that the iPDA was found valuable by 92% (patients), 96% (computer scientists), and 86% (physicians), while the treatment information was judged useful by 92%, 96%, and 95%, respectively. Additionally, the tool was thought to be motivating for patients to actively engage in their treatment by 92%, 93%, and 91% of the above respondents groups. More multimedia components and less text were suggested by the respondents as ways to improve the tool and user interface. In conclusion, we successfully developed and tested an iPDA for patients with stage I-II Non-Small Cell Lung Cancer (NSCLC).
    Language English
    Publishing date 2024-03-22
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2023.1303261
    Database MEDical Literature Analysis and Retrieval System OnLINE

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