For the best experience, this project uses the Webflow Input Enhancer extension. We highly recommend installing it. Click here to download (use preview mode to access link)
Multiple studies concur that listening to music has a powerful impact on the brain. In fact, it's been shown to reduce things like anxiety, stress, blood pressure, pain, and improve sleep quality, mood, alertness, immune function, memory, and so much more. In the past year, new literature has brought to light the music's impact on cognitive ability and brain plasticity, in particular. In this blog, we’ll dive into the market outlook, innovation activity within the space, and recent scientific literature centered on how music improves cognitive abilities, particularly in relation to playing musical instruments, listening to your favorite music, and dancing.
Market outlook:
We used the Cypris Innovation Dashboard to pull data on the research area of music and the brain. According to our report, 15 new organizations entered the space last year, the majority of which were based in USA. Of the 15 organizations, 11 were startups. Below, you can see the funding breakdown for startups by industry.
Funding by Industry
Scientific literature in the field saw the addition of 4,382 new research papers in the last year, while only 64 new patents were published in the space. Most of the patent activity centered on medical applications, with computing software coming in second.
Patent Breakdown by Industry
News coverage in the space boomed—with 89,798 news articles written in the last year, 71.05% of which were in the New Product category.
News Category Distribution
Research on music’s impact on cognitive ability
Let's take a look at the recent research studies examining the connection between music and brain function:
Playing a musical instrument in childhood improves cognitive ability in older age
The University of Edinburgh tested the cognitive ability of participants twice in their lives—at age 11 and age 70—using questions that included verbal reasoning, spatial awareness and numerical analysis portions. Out of the 366 study participants, 117 reported some experience of playing a musical instrument primarily during childhood and adolescence. Most commonly participants played the piano, but the instruments were wide ranging.
The results revealed that people with more experience of playing a musical instrument showed greater lifetime improvement on a test of cognitive ability than those with less or no experience. Researchers found that this was the case even when accounting for their socio-economic status, years of education, childhood cognitive ability, and their health in older age.
However, the researchers did note that the results don’t prove musical training boosts cognitive ability due to other confounding factors like parental influence, which could play a role.
Emeritus Professor Ian Deary, formerly Director of the Centre for Cognitive Ageing and Cognitive Epidemiology at the University of Edinburgh, said: “We have to emphasize that the association we found between instrument-playing and lifetime cognitive improvement was small, and that we cannot prove that the former caused the latter.
“However, as we and others search for the many small effects that might contribute toward some people’s brains aging more healthily than others, these results are worth following up.”
Listening to your favorite music improves brain plasticity
Patients in Toronto experiencing early-stage cognitive decline participated in a study where they each listened to a curated playlist that featured music that held significant meaning in their lives. The 14 participants, six of whom were musicians and eight non-musicians, listened to their playlist for an hour per day for three weeks.
MRI scans taken before and after the listening period compared their responses to new music they hadn't previously heard, and the long-known music they were attached to. Music, in general, activated the brain’s auditory cortex, but the familiar music lit up significant regions of the brain, including the prefrontal cortex. The prefrontal cortex is responsible for higher order executive functioning like decision-making, personality expression, and regulating emotions. Whether they were musicians or not, all participants demonstrated improved cognition.
Dr Michael Thaut is the senior author of the study, as well as being the director of the Music and Health Science Research Collaboratory, Tier One Canada Research Chair in Music, Neuroscience and Health, and professor at the University of Toronto's Faculty of Music and Temerty Faculty of Medicine.
"We have new brain-based evidence that autobiographically-salient music—that is, music that holds special meaning for a person, like the song they danced to at their wedding—stimulates neural connectivity in ways that help maintain higher levels of functioning," says Dr. Thaut.
Dancing to groovy music improves cognitive function
Researchers from University of Tsukuba in Japan performed functional near-infrared spectroscopy (fNIRS) with a color-word matching task on participants to examine inhibitory executive function before and after listening to music, as well as conducted a survey about the subjective experience of listening to groove music. Their goal was to examine the effect of groove music on executive function or brain activity in regions associated with executive function, such as the left dorsolateral prefrontal cortex (l-DLPFC).
Their findings revealed that dancing to ‘music with a groove’ can boost cognition, executive function and overall brain performance, as well as prevent diseases like dementia.
“The results were surprising,” explains lead author Professor Hideaki Soya. “We found that groove rhythm enhanced executive function and activity in the l-DLPFC only in participants who reported that the music elicited a strong groove sensation and the sensation of being clear-headed.”
Notably, those who were most familiar with the music experienced more improved brain function.
Whether it comes to playing an instrument as a child, listening to your favorite tunes, or dancing to groovy music, music has a profound impact on cognitive ability and brain plasticity. If you're curious to learn more about another topic of interest using data from our innovation dashboard, visit cypris.aito get started.
Sources:
Cypris Innovation Dashboard, query: Music and the brain
Subscribe to receive the latest blog posts to your inbox every week.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Multiple studies concur that listening to music has a powerful impact on the brain. In fact, it's been shown to reduce things like anxiety, stress, blood pressure, pain, and improve sleep quality, mood, alertness, immune function, memory, and so much more. In the past year, new literature has brought to light the music's impact on cognitive ability and brain plasticity, in particular. In this blog, we’ll dive into the market outlook, innovation activity within the space, and recent scientific literature centered on how music improves cognitive abilities, particularly in relation to playing musical instruments, listening to your favorite music, and dancing.
Market outlook:
We used the Cypris Innovation Dashboard to pull data on the research area of music and the brain. According to our report, 15 new organizations entered the space last year, the majority of which were based in USA. Of the 15 organizations, 11 were startups. Below, you can see the funding breakdown for startups by industry.
Funding by Industry
Scientific literature in the field saw the addition of 4,382 new research papers in the last year, while only 64 new patents were published in the space. Most of the patent activity centered on medical applications, with computing software coming in second.
Patent Breakdown by Industry
News coverage in the space boomed—with 89,798 news articles written in the last year, 71.05% of which were in the New Product category.
News Category Distribution
Research on music’s impact on cognitive ability
Let's take a look at the recent research studies examining the connection between music and brain function:
Playing a musical instrument in childhood improves cognitive ability in older age
The University of Edinburgh tested the cognitive ability of participants twice in their lives—at age 11 and age 70—using questions that included verbal reasoning, spatial awareness and numerical analysis portions. Out of the 366 study participants, 117 reported some experience of playing a musical instrument primarily during childhood and adolescence. Most commonly participants played the piano, but the instruments were wide ranging.
The results revealed that people with more experience of playing a musical instrument showed greater lifetime improvement on a test of cognitive ability than those with less or no experience. Researchers found that this was the case even when accounting for their socio-economic status, years of education, childhood cognitive ability, and their health in older age.
However, the researchers did note that the results don’t prove musical training boosts cognitive ability due to other confounding factors like parental influence, which could play a role.
Emeritus Professor Ian Deary, formerly Director of the Centre for Cognitive Ageing and Cognitive Epidemiology at the University of Edinburgh, said: “We have to emphasize that the association we found between instrument-playing and lifetime cognitive improvement was small, and that we cannot prove that the former caused the latter.
“However, as we and others search for the many small effects that might contribute toward some people’s brains aging more healthily than others, these results are worth following up.”
Listening to your favorite music improves brain plasticity
Patients in Toronto experiencing early-stage cognitive decline participated in a study where they each listened to a curated playlist that featured music that held significant meaning in their lives. The 14 participants, six of whom were musicians and eight non-musicians, listened to their playlist for an hour per day for three weeks.
MRI scans taken before and after the listening period compared their responses to new music they hadn't previously heard, and the long-known music they were attached to. Music, in general, activated the brain’s auditory cortex, but the familiar music lit up significant regions of the brain, including the prefrontal cortex. The prefrontal cortex is responsible for higher order executive functioning like decision-making, personality expression, and regulating emotions. Whether they were musicians or not, all participants demonstrated improved cognition.
Dr Michael Thaut is the senior author of the study, as well as being the director of the Music and Health Science Research Collaboratory, Tier One Canada Research Chair in Music, Neuroscience and Health, and professor at the University of Toronto's Faculty of Music and Temerty Faculty of Medicine.
"We have new brain-based evidence that autobiographically-salient music—that is, music that holds special meaning for a person, like the song they danced to at their wedding—stimulates neural connectivity in ways that help maintain higher levels of functioning," says Dr. Thaut.
Dancing to groovy music improves cognitive function
Researchers from University of Tsukuba in Japan performed functional near-infrared spectroscopy (fNIRS) with a color-word matching task on participants to examine inhibitory executive function before and after listening to music, as well as conducted a survey about the subjective experience of listening to groove music. Their goal was to examine the effect of groove music on executive function or brain activity in regions associated with executive function, such as the left dorsolateral prefrontal cortex (l-DLPFC).
Their findings revealed that dancing to ‘music with a groove’ can boost cognition, executive function and overall brain performance, as well as prevent diseases like dementia.
“The results were surprising,” explains lead author Professor Hideaki Soya. “We found that groove rhythm enhanced executive function and activity in the l-DLPFC only in participants who reported that the music elicited a strong groove sensation and the sensation of being clear-headed.”
Notably, those who were most familiar with the music experienced more improved brain function.
Whether it comes to playing an instrument as a child, listening to your favorite tunes, or dancing to groovy music, music has a profound impact on cognitive ability and brain plasticity. If you're curious to learn more about another topic of interest using data from our innovation dashboard, visit cypris.aito get started.
Sources:
Cypris Innovation Dashboard, query: Music and the brain
As an R&D platform and custom report service, search functionality for our users is key.
That's why we're thrilled to announce our platform's user experience and research capabilities just got better. Meet Quick Search, a new search bar that delivers information to our users faster than ever.
What's New with this Launch?
The previous search functionality allowed for search only by keywords. With Quick Search, users can now search by patent and research paper titles in addition to keywords.
What's the User Experience Like?
As you type in your search (keyword, patent, or research paper) you'll see a live tally of the data by category available for that search.
From there, you can click into individual data sections or build a report pulling from all available data streams.
0:00/1×
Have questions or comments? Feel free to reach out to us at info@ipcypris.com for more information.
Meet Quick Search, Our New Functionality
Blogs
•
XX
min read
Is Google Scholar good for research? This question is often raised by researchers and professionals in various fields. In this blog post, we will examine the benefits and drawbacks of Google Scholar to determine its appropriateness for your research requirements.
We will discuss the extensive coverage provided by Google Scholar, its ranking system for relevance in comparison with other databases such as Scopus and Web of Science, and the citation tracking functionality offered by Google Scholar.
To conclude our analysis on “Is Google Scholar good for research?”, we’ll highlight the importance of complementing it with specialized databases like PubMed or IEEE Xplore for specific disciplines or combining it with Scopus or Web of Science for advanced search capabilities.
Yes, Google Scholar is a valuable resource for research as it offers extensive coverage of scholarly literature, including conference papers, books, preprints, and journal articles. Its ranking system helps in identifying relevant resources while the citation tracking functionality aids in analyzing impact factors.
Extensive Coverage of Google Scholar
Google Scholar offers a vast range of scholarly literature, indexing over 160 million documents from various sources such as conference papers, books, preprints, and journal articles. Google Scholar provides a convenient way to access an extensive range of scholarly material, eliminating the need for users to search through multiple websites or databases.
Conference Papers Indexed in Google Scholar
The platform includes an extensive collection of conference papers from numerous disciplines. By accessing these resources through Google Scholar, researchers can stay up-to-date with the latest findings presented at conferences around the world.
Books Available Through the Search Engine
In addition to academic articles and conference proceedings, Google Scholar also indexes books published by reputable publishers. Researchers can use this feature to locate essential reference materials for their projects and gain insights into previous studies conducted within their field.
Preprints and Journal Articles Accessible via the Platform
Preprints: These are preliminary versions of research papers that have not yet been peer-reviewed but are made available online for feedback from other experts in the field. By including preprint repositories like arXiv.org or bioRxiv.org in its search results, Google Scholar helps researchers discover cutting-edge work before it is formally published.
Journal Articles: As one would expect, a significant portion of indexed content on Google Scholar consists of peer-reviewed journal articles across various fields. The platform’s comprehensive coverage ensures that users can access high-quality research material efficiently while conducting searches using keywords related to their area of interest.
For those asking “is google scholar good for research”, Google Scholar is an excellent tool for researchers looking to find relevant and reliable sources quickly. Its extensive coverage of various types of scholarly literature, including conference papers, books, preprints, and journal articles, makes it a valuable resource for anyone conducting research.
Google Scholar employs a sophisticated algorithm to rank search results based on their relevance, taking into account factors such as the author’s citation count and publication history. This ranking system has been found to provide better precision than other multidisciplinary databases like Scopus or Web of Science, particularly when searching for specific topics within respective fields.
A study by Martin-Martin et al. demonstrated that Google Scholar outperforms these alternatives in terms of precision and coverage.
Factors Considered in Ranking Search Results
Citation count: The number of times an article has been cited by others is used as an indicator of its importance and impact within the field.
Publication history: Articles published in well-established journals with high impact factors are more likely to be ranked higher, reflecting their perceived quality and credibility.
Affiliation: The reputation of the authors’ institutions can also influence rankings, with prestigious universities often being associated with higher-quality research output.
Comparison with Scopus and Web of Science
In comparison to Google Scholar, both Scopus and Web of Science offer advanced search capabilities allowing users greater control over filtering options; however, they may not always deliver superior results due to limitations in their indexing scope or potential biases towards certain disciplines or sources.
Google Scholar’s ranking system for relevance provides an effective way to identify the most relevant and impactful research, allowing R&D teams to quickly gain insights into their topics of interest making it the option to choose when asking “is google scholar good for research”. Moving on, citation tracking functionality through Google Scholar can provide further insight into the impact factor of a particular piece of research.
When asking “is google scholar good for research”, one key feature that makes it suitable for research purposes is its citation-tracking functionality. Researchers can easily track citations received by their work or others, helping them stay informed about recent developments in their field while also providing valuable insight into the impact factor of publications they are interested in citing themselves.
Benefits of Tracking Citations Using Google Scholar
Ease of use: With a simple interface, researchers can quickly access information on how many times an article has been cited and view the list of citing articles.
Breadth of coverage: Google Scholar’s extensive database ensures that users have access to a wide range of citation data from various sources such as conference papers, books, preprints, and journal articles.
Analyzing trends: By monitoring citation patterns over time, researchers can identify emerging trends within their field and assess the significance or relevance of specific topics.
Impact Factor Analysis Through Citation Data
The number of citations an article receives is often used as an indicator of its impact within a particular discipline. While this metric has limitations – such as potential biases towards older publications with more time to accumulate citations – it still provides useful insights when comparing different resources during literature reviews or grant applications.
By utilizing Google Scholar’s search results alongside other databases like Scopus or Web of Science, R&D managers, and engineers can make better-informed decisions regarding which publications hold greater weight within their respective fields. Citation tracking functionality is a powerful tool for R&D and innovation teams, allowing them to quickly access the literature they need while understanding its impact.
Despite its benefits, there are limitations associated with using Google Scholar exclusively for conducting research. Some of the key challenges include a lack of quality control, incomplete metadata records, limited advanced search options compared to other databases, inconsistencies in coverage regarding specific disciplines or journals, and a lack of transparency on the methodology behind content indexing and result rankings.
Quality Control Concerns with Unfiltered Resources
Google Scholar’s unfiltered approach may lead to the inclusion of low-quality resources such as predatory journals or self-published articles that have not undergone rigorous peer-review processes. This makes it crucial for researchers to verify the credibility of sources before citing them in their work.
Incomplete Metadata Affecting Resource Selection Process
The incomplete metadata records retrieved through Google Scholar often lack essential bibliographic details, including abstracts, which can make it difficult for users to assess the relevance of a resource without having to visit each individual source website.
Limited advanced search options available in Google Scholar, when compared with specialized databases like Scopus or Web of Science, restrict researchers from carrying out comprehensive literature reviews by narrowing down results based on specific criteria such as publication date range or document type.
Inconsistency in Indexing Affecting Representation of Available Literature
Google Scholar’s coverage of specific disciplines, journals, or individual articles can be inconsistent, which may lead to gaps in the available literature and hinder researchers from obtaining a complete understanding of their research topic.
Lack of Transparency on Google Scholar’s Methodology
The obscurity of Google Scholar’s indexing and rating process renders it difficult for people to comprehend how search outcomes are produced, potentially producing imbalances in the depiction of scholarly material within its database.
Despite its limitations and challenges, Google Scholar remains a valuable tool for research teams. However, it is important to supplement the platform with specialized databases in order to maximize search capabilities.
Key Takeaway:
Using Google Scholar exclusively for research has limitations such as a lack of quality control, incomplete metadata records, limited advanced search options compared to other databases, inconsistencies in coverage regarding specific disciplines or journals, and a lack of transparency on the methodology behind content indexing and result rankings. Researchers should verify sources before citing them in their work due to concerns with unfiltered resources that may include low-quality materials like predatory journals or self-published articles without rigorous peer-review processes.
Complementing Google Scholar with Specialized Databases
Is google scholar good for research? Yes, but complementing it with specialized databases makes it even better. To ensure access to high-quality information relevant to their field and carry out comprehensive searches without missing important publications, researchers should use specialized databases alongside Google Scholar.
By using multiple sources together, R&D managers, engineers, scientists, and innovation teams can leverage the strengths offered by each database while mitigating potential drawbacks associated with any single source.
Importance of Using PubMed or IEEE Xplore for Specific Disciplines
In addition to Google Scholar’s extensive coverage, it is crucial for researchers in specific disciplines such as life sciences or engineering to utilize specialized databases like PubMed or IEEE Xplore, respectively. These platforms offer more targeted search results and provide access to unique resources not available on Google Scholar.
For instance, PubMed includes biomedical literature from MEDLINE while IEEE Xplore houses a vast collection of technical papers related to electrical engineering and computer science.
Combining Scopus or Web of Science for Advanced Search Capabilities
Scopus and Web of Science, two multidisciplinary research databases that are often compared with Google Scholar due to their wide-ranging content coverage, offer advanced search capabilities that may be lacking in the latter platform. Some benefits include better filtering options, more comprehensive citation analysis, and higher-quality metadata.
Incorporating specialized databases like PubMed or IEEE Xplore along with multidisciplinary platforms such as Scopus or Web of Science can significantly enhance the efficiency and effectiveness of research efforts when used in conjunction with Google Scholar. Researchers can leverage the strengths of each database to obtain a more comprehensive view of the research landscape and make informed decisions based on the search results.
Key Takeaway:
To conduct comprehensive research, R&D teams should complement Google Scholar with specialized databases like PubMed or IEEE Xplore for specific disciplines and Scopus or Web of Science for advanced search capabilities. By using multiple sources together, researchers can leverage the strengths offered by each database while mitigating potential drawbacks associated with any single source to obtain a more comprehensive view of the research landscape.
Conclusion
So overall, is Google Scholar good for research? Yes, Google Scholar offers a user-friendly interface with extensive coverage of scholarly literature, a ranking system for relevance, and citation-tracking functionality. There are limitations associated with using Google Scholar exclusively for conducting research, however, you can counter this by complementing it with specialized databases to ensure high-quality and comprehensive searches.
If you’re looking for more ways to improve your R&D process or need help navigating available resources like Google Scholar effectively, contact Cypris and unlock your team’s potential! Our platform provides rapid time-to-insights, centralizing data sources for improved R&D and innovation team performance.
Is Google Scholar Good for Research? Exploring Pros & Cons
Blogs
•
XX
min read
A faster, more accurate way to explore innovation data—now available in Cypris.
For innovation teams, speed and accuracy aren’t optional—they’re critical. You need to quickly find all relevant documents, slice and dice datasets however you want, and trust that the results are complete and representative. With this in mind, we’ve upgraded how semantic search works inside Cypris.
Today, we’re launching an upgraded search infrastructure that gives users access to full, exact result sets—unlocking more powerful analysis, faster iteration, and deterministic filtering and charting.
Unlike traditional semantic or vector search engines—which make it difficult to count, filter, or chart large sets of matched documents—our new approach prioritizes transparency and performance while preserving semantic relevance.
Why we moved away from vector search
Our original implementation relied on semantic and vector search to capture the “meaning” behind user queries. But as our platform evolved, it became clear that these systems weren’t well-suited for our core use cases.
Users needed:
Deterministic filtering (e.g., "how many results match this atom?")
Transparent, complete result sets to power charts and dashboards
Fast, repeatable queries that don’t change subtly over time
Modern vector search systems don’t easily support this level of transparency. They return approximate matches and abstract similarity scores, often making it hard to understand why a document was returned—or whether it’s the full picture.
So we made a decision: move away from vector search and lean into what traditional search engines do best.
A return to boolean and lexical search—with a twist
We rebuilt our search infrastructure on top of Elasticsearch’s powerful boolean and lexical search capabilities. This shift brings major advantages:
Faster query speeds that dramatically improve iteration time
Deterministic filtering and counts, so every chart is grounded in the full dataset
Predictable, explainable results that users can trust
But we didn’t stop there.
To preserve the benefits of semantic understanding, we’ve rethought where that intelligence should live—not at query time, but at data ingestion.
Capturing semantic meaning at ingest time
Instead of computing document-query similarity during search, we enrich documents at the time of ingestion. Here’s how:
Synonym expansion: We find related words and concepts not explicitly mentioned in the document and add them as fields, enabling semantic-style recall via lexical search.
Stemming: Both queries and documents are reduced to their root forms, allowing consistent matches (e.g., “running” and “run”).
The result? You get the same functionality—semantically relevant results—without the opacity or latency tradeoffs of vector search.
What’s next: Reranking for even better relevance
We’re not done. Coming soon to Cypris is a reranking layer that boosts the most relevant results to the top of the list using lightweight vector techniques.
Here’s how it works:
A standard lexical search retrieves the full result set.
We take the top N results and rerank them using vector similarity, powered by Elasticsearch’s new hybrid scoring capabilities.
You get faster queries with even better relevance—without compromising on counts or transparency.
This layered approach gives us the best of both worlds: precise filtering and fast queries, plus smarter ordering of results where it matters most.
We’re excited to bring this upgrade to our users, and we’re already seeing teams iterate faster and uncover insights more confidently. This is a foundational shift—and just the beginning of what’s to come.
Want a walkthrough of what’s changed? Reach out to our team.
