Touchscreen cognitive testing: Cross-species translation and co-clinical trials in neurodegenerative and neuropsychiatric disease
•Most pre-clinical findings in neuroscience fail to translate to the clinic.•Cross-species differences in cognitive testing contribute to translational failure.•Touchscreen can be used to facilitate similar cognitive tests across species.•Touchscreens facilitate efficiency and efficacy of the co-cli...
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| Published in | Neurobiology of learning and memory Vol. 182; p. 107443 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Elsevier Inc
01.07.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1074-7427 1095-9564 1095-9564 |
| DOI | 10.1016/j.nlm.2021.107443 |
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| Abstract | •Most pre-clinical findings in neuroscience fail to translate to the clinic.•Cross-species differences in cognitive testing contribute to translational failure.•Touchscreen can be used to facilitate similar cognitive tests across species.•Touchscreens facilitate efficiency and efficacy of the co-clinical trial framework.
Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a significant challenge. While this issue is clearly multifaceted, the lack of reproducibility and poor translational validity of many paradigms used to assess cognition in animal models are central contributors to this challenge.
Computer-automated cognitive test batteries have the potential to substantially improve translation between pre-clinical studies and clinical trials by increasing both reproducibility and translational validity. Given the structured nature of data output, computer-automated tests also lend themselves to increased data sharing and other open science good practices. Over the past two decades, computer automated, touchscreen-based cognitive testing methods have been developed for non-human primate and rodent models. These automated methods lend themselves to increased standardization, hence reproducibility, and have become increasingly important for the elucidation of the neurobiological basis of cognition in animal models. More recently, there have been increased efforts to use these methods to enhance translational validity by developing task batteries that are nearly identical across different species via forward (i.e., translating animal tasks to humans) and reverse (i.e., translating human tasks to animals) translation.
An additional benefit of the touchscreen approach is that a cross-species cognitive test battery makes it possible to implement co-clinical trials—an approach developed initially in cancer research—for novel treatments for neurodegenerative disorders. Co-clinical trials bring together pre-clinical and early clinical studies, which facilitates testing of novel treatments in mouse models with underlying genetic or other changes, and can help to stratify patients on the basis of genetic, molecular, or cognitive criteria. This approach can help to determine which patients should be enrolled in specific clinical trials and can facilitate repositioning and/or repurposing of previously approved drugs. This has the potential to mitigate the resources required to study treatment responses in large numbers of human patients. |
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| AbstractList | Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a significant challenge. While this issue is clearly multifaceted, the lack of reproducibility and poor translational validity of many paradigms used to assess cognition in animal models are central contributors to this challenge. Computer-automated cognitive test batteries have the potential to substantially improve translation between pre-clinical studies and clinical trials by increasing both reproducibility and translational validity. Given the structured nature of data output, computer-automated tests also lend themselves to increased data sharing and other open science good practices. Over the past two decades, computer automated, touchscreen-based cognitive testing methods have been developed for non-human primate and rodent models. These automated methods lend themselves to increased standardization, hence reproducibility, and have become increasingly important for the elucidation of the neurobiological basis of cognition in animal models. More recently, there have been increased efforts to use these methods to enhance translational validity by developing task batteries that are nearly identical across different species via forward (i.e., translating animal tasks to humans) and reverse (i.e., translating human tasks to animals) translation. An additional benefit of the touchscreen approach is that a cross-species cognitive test battery makes it possible to implement co-clinical trials-an approach developed initially in cancer research-for novel treatments for neurodegenerative disorders. Co-clinical trials bring together pre-clinical and early clinical studies, which facilitates testing of novel treatments in mouse models with underlying genetic or other changes, and can help to stratify patients on the basis of genetic, molecular, or cognitive criteria. This approach can help to determine which patients should be enrolled in specific clinical trials and can facilitate repositioning and/or repurposing of previously approved drugs. This has the potential to mitigate the resources required to study treatment responses in large numbers of human patients.Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a significant challenge. While this issue is clearly multifaceted, the lack of reproducibility and poor translational validity of many paradigms used to assess cognition in animal models are central contributors to this challenge. Computer-automated cognitive test batteries have the potential to substantially improve translation between pre-clinical studies and clinical trials by increasing both reproducibility and translational validity. Given the structured nature of data output, computer-automated tests also lend themselves to increased data sharing and other open science good practices. Over the past two decades, computer automated, touchscreen-based cognitive testing methods have been developed for non-human primate and rodent models. These automated methods lend themselves to increased standardization, hence reproducibility, and have become increasingly important for the elucidation of the neurobiological basis of cognition in animal models. More recently, there have been increased efforts to use these methods to enhance translational validity by developing task batteries that are nearly identical across different species via forward (i.e., translating animal tasks to humans) and reverse (i.e., translating human tasks to animals) translation. An additional benefit of the touchscreen approach is that a cross-species cognitive test battery makes it possible to implement co-clinical trials-an approach developed initially in cancer research-for novel treatments for neurodegenerative disorders. Co-clinical trials bring together pre-clinical and early clinical studies, which facilitates testing of novel treatments in mouse models with underlying genetic or other changes, and can help to stratify patients on the basis of genetic, molecular, or cognitive criteria. This approach can help to determine which patients should be enrolled in specific clinical trials and can facilitate repositioning and/or repurposing of previously approved drugs. This has the potential to mitigate the resources required to study treatment responses in large numbers of human patients. •Most pre-clinical findings in neuroscience fail to translate to the clinic.•Cross-species differences in cognitive testing contribute to translational failure.•Touchscreen can be used to facilitate similar cognitive tests across species.•Touchscreens facilitate efficiency and efficacy of the co-clinical trial framework. Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a significant challenge. While this issue is clearly multifaceted, the lack of reproducibility and poor translational validity of many paradigms used to assess cognition in animal models are central contributors to this challenge. Computer-automated cognitive test batteries have the potential to substantially improve translation between pre-clinical studies and clinical trials by increasing both reproducibility and translational validity. Given the structured nature of data output, computer-automated tests also lend themselves to increased data sharing and other open science good practices. Over the past two decades, computer automated, touchscreen-based cognitive testing methods have been developed for non-human primate and rodent models. These automated methods lend themselves to increased standardization, hence reproducibility, and have become increasingly important for the elucidation of the neurobiological basis of cognition in animal models. More recently, there have been increased efforts to use these methods to enhance translational validity by developing task batteries that are nearly identical across different species via forward (i.e., translating animal tasks to humans) and reverse (i.e., translating human tasks to animals) translation. An additional benefit of the touchscreen approach is that a cross-species cognitive test battery makes it possible to implement co-clinical trials—an approach developed initially in cancer research—for novel treatments for neurodegenerative disorders. Co-clinical trials bring together pre-clinical and early clinical studies, which facilitates testing of novel treatments in mouse models with underlying genetic or other changes, and can help to stratify patients on the basis of genetic, molecular, or cognitive criteria. This approach can help to determine which patients should be enrolled in specific clinical trials and can facilitate repositioning and/or repurposing of previously approved drugs. This has the potential to mitigate the resources required to study treatment responses in large numbers of human patients. Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a significant challenge. While this issue is clearly multifaceted, the lack of reproducibility and poor translational validity of many paradigms used to assess cognition in animal models are central contributors to this challenge. Computer-automated cognitive test batteries have the potential to substantially improve translation between pre-clinical studies and clinical trials by increasing both reproducibility and translational validity. Given the structured nature of data output, computer-automated tests also lend themselves to increased data sharing and other open science good practices. Over the past two decades, computer automated, touchscreen-based cognitive testing methods have been developed for non-human primate and rodent models. These automated methods lend themselves to increased standardization, hence reproducibility, and have become increasingly important for the elucidation of the neurobiological basis of cognition in animal models. More recently, there have been increased efforts to use these methods to enhance translational validity by developing task batteries that are nearly identical across different species via forward (i.e., translating animal tasks to humans) and reverse (i.e., translating human tasks to animals) translation. An additional benefit of the touchscreen approach is that a cross-species cognitive test battery makes it possible to implement co-clinical trials-an approach developed initially in cancer research-for novel treatments for neurodegenerative disorders. Co-clinical trials bring together pre-clinical and early clinical studies, which facilitates testing of novel treatments in mouse models with underlying genetic or other changes, and can help to stratify patients on the basis of genetic, molecular, or cognitive criteria. This approach can help to determine which patients should be enrolled in specific clinical trials and can facilitate repositioning and/or repurposing of previously approved drugs. This has the potential to mitigate the resources required to study treatment responses in large numbers of human patients. |
| ArticleNumber | 107443 |
| Author | Dexter, Tyler D. Finger, Elizabeth Bussey, Timothy J. Dumont, Julie R. Saksida, Lisa M. Palmer, Daniel Prado, Marco A.M. |
| Author_xml | – sequence: 1 givenname: Daniel surname: Palmer fullname: Palmer, Daniel email: dpalmer9@uwo.ca organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada – sequence: 2 givenname: Julie R. surname: Dumont fullname: Dumont, Julie R. organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada – sequence: 3 givenname: Tyler D. surname: Dexter fullname: Dexter, Tyler D. organization: Department of Physiology and Pharmacology, The University of Western Ontario, Ontario, Canada – sequence: 4 givenname: Marco A.M. orcidid: 0000-0002-3028-5778 surname: Prado fullname: Prado, Marco A.M. organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada – sequence: 5 givenname: Elizabeth orcidid: 0000-0003-4461-7427 surname: Finger fullname: Finger, Elizabeth organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada – sequence: 6 givenname: Timothy J. surname: Bussey fullname: Bussey, Timothy J. organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada – sequence: 7 givenname: Lisa M. orcidid: 0000-0002-8416-8171 surname: Saksida fullname: Saksida, Lisa M. organization: Robarts Research Institute, The University of Western Ontario, Ontario, Canada |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33895351$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_neubiorev_2023_105158 crossref_primary_10_3390_biomedicines13010167 crossref_primary_10_3389_fnmol_2023_1191323 crossref_primary_10_3389_fnbeh_2023_1270538 crossref_primary_10_1152_ajprenal_00338_2023 crossref_primary_10_3758_s13415_023_01144_x crossref_primary_10_1002_cpz1_698 crossref_primary_10_1523_ENEURO_0120_24_2024 crossref_primary_10_1111_jnc_16289 crossref_primary_10_3389_fnins_2022_947742 crossref_primary_10_1111_jnc_16243 crossref_primary_10_1073_pnas_2216792120 crossref_primary_10_3389_fnbeh_2021_766745 crossref_primary_10_1007_s00401_022_02491_8 crossref_primary_10_1016_j_expneurol_2022_114104 crossref_primary_10_1016_j_neuropharm_2024_110114 crossref_primary_10_1111_jnc_16117 crossref_primary_10_1007_s40495_023_00337_9 crossref_primary_10_3390_biomedicines10102612 |
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| Snippet | •Most pre-clinical findings in neuroscience fail to translate to the clinic.•Cross-species differences in cognitive testing contribute to translational... Translating results from pre-clinical animal studies to successful human clinical trials in neurodegenerative and neuropsychiatric disease presents a... |
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| SubjectTerms | Animals Co-clinical trials Computer Terminals Computers, Handheld Haplorhini Humans Mental Disorders - physiopathology Mice Neurodegenerative disease Neurodegenerative Diseases - physiopathology Neuropsychological Tests Reproducibility of Results Touch Touchscreen cognition Translational neuroscience Translational Research, Biomedical |
| Title | Touchscreen cognitive testing: Cross-species translation and co-clinical trials in neurodegenerative and neuropsychiatric disease |
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