pearson’s correlation implemented in the built-in matlab function corr.m (MathWorks Inc)
Structured Review

Pearson’s Correlation Implemented In The Built In Matlab Function Corr.M, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/matlab+function+corr%2Em/pmc08854223-153-2-8
Average 90 stars, based on 1 article reviews
Images
1) Product Images from "A Study of Word Complexity Under Conditions of Non-experimental, Natural Overt Speech Production Using ECoG"
Article Title: A Study of Word Complexity Under Conditions of Non-experimental, Natural Overt Speech Production Using ECoG
Journal: Frontiers in Human Neuroscience
doi: 10.3389/fnhum.2021.711886
Figure Legend Snippet: Correlation of the neural activity with the acquired linguistic parameters. (A) The logarithmic relative spectral magnitude (RSM) values at an individual electrode are depicted schematically in every time-frequency bin of the spectrum (the squares of the table) for a frequency range of 70–90 Hz (y axis) and −60 to 80 ms relative to word start (x axis). A Pearson’s correlation of the RSM values with a linguistic parameter of interest was calculated across all words of the given subject (B) . The correlation coefficients were projected on the time-frequency structure of the original spectrum (C) . This procedure allowed us to identify the time periods and frequencies in which the linguistic parameters showed correlations with the neural activity. The r values were color-coded and tested for significance. frq., frequency; log., natural logarithm; RSM, relative spectral magnitude; val., values; ling. param., linguistic parameters.
Techniques Used: Activity Assay
Figure Legend Snippet: Correlations between parameters accompanying the production of content words. For each subject (S1–S5), Pearson’s r correlation values between pairs of parameters are color-coded (see legend). Correlation values without statistical testing for significance are shown below the diagonal of red squares (a perfect positive correlation of each parameter with itself); above the diagonal: significant (<0.05) correlations. ss_ws, the duration from speech start to word start in ms; ws_we, the duration from word start to word end in ms; we_se, the duration from word end to speech end in ms; FRQ, lemma frequency extracted from the linguistic corpus ; EoA, ease-of-articulation index ; NoS, number of syllables in a spoken word; CVR, consonant-to-vowel-ratio (the number of consonants in a spoken word divided by the number of vowels); intensity, average intensity of the acoustic signal during word production in Db; EMG, average relative spectral magnitude values for electromyographic activity during word production recorded at the respective body part; L, left; R, right; QUADR/QUADL, EMG from the right/left quadriceps; DELR/DELL, EMG from the right/left deltoid muscles. The squares with black and gray outlines highlight the correlations that were reproducible across subjects.
Techniques Used: Activity Assay, Muscles
Related Articles
Injection:Article Title: Oxidative potential of urban PM 2.5 in relation to chemical composition: Importance of fossil driven sources. Article Snippet: Article Title: Distribution of spine classes shows intra-neuronal dendritic heterogeneity in mouse cortex Article Snippet: We used Pearson’s chi-square test ( Article Title: Decoupling of motor cortex to movement in Parkinson’s dyskinesia rescued by sub-anaesthetic ketamine Article Snippet: Second, Pearson’s correlations between all pairwise neuron combinations were computed ( Article Title: Enclosing 95% confidence area and volume to center of pressure and center of mass in posturography using optimization algorithm and coordinate ascent methods. Article Snippet: Balance control has been evaluated using center of pressure (CoP) and center of mass (CoM).. One of the most common approaches in stabilometry is enclosing ellipse to 95% of data using principal component analysis (PCA) or covariance methods.. However, these methods have limitations, including normality assumption, lack of accuracy, and sample size influence. Article Title: Distribution of spine classes shows intra-neuronal dendritic heterogeneity in mouse cortex Article Snippet: We used Pearson’s chi-square test ( Article Title: Differences in cerebral structure among patients with amnestic mild cognitive impairment and patients with Alzheimer’s disease Article Snippet: By using Article Title: Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells Article Snippet: Using the |