The Emotional Sources of "Chills" Induced by Music

1995 ◽  
Vol 13 (2) ◽  
pp. 171-207 ◽  
Author(s):  
Jaak Panksepp

Music modifies moods and emotions by interacting with brain mechanisms that remain to be identified. One powerful emotional effect induced by music is a shivery, gooseflesh type of skin sensation (commonly called "chills" or "thrills"), which may reflect the brain's ability to extract specific kinds of emotional meaning from music. A large survey indicated that college-age students typically prefer to label this phenomenon as "chills" rather than "thrills," but many mistakenly believe that happiness in music is more influential in evoking the response than sadness. A series of correlational studies analyzing the subjective experience of chills in groups of students listening to a variety of musical pieces indicated that chills are related to the perceived emotional content of various selections, with much stronger relations to perceived sadness than happiness. As a group, females report feeling more chills than males do. Because feelings of sadness typically arise from the severance of established social bonds, there may exist basic neurochemical similarities between the chilling emotions evoked by music and those engendered by social loss. Further study of the "chill" response should help clarify how music interacts with a specific emotional process of the normal human brain.

Pharmacology ◽  
1960 ◽  
Vol 3 (2) ◽  
pp. 113-116 ◽  
Author(s):  
K. Kovács ◽  
Margrit A. Dávid ◽  
P. Weisz

2011 ◽  
Vol 66 (4) ◽  
pp. 945-949 ◽  
Author(s):  
Fiona E. Smith ◽  
David A. Cousins ◽  
Peter E. Thelwall ◽  
I. Nicol Ferrier ◽  
Andrew M. Blamire

1995 ◽  
Vol 5 (1) ◽  
pp. 43-48 ◽  
Author(s):  
R. Grant Steen ◽  
Suzanne A. Gronemeyer ◽  
June S. Taylor

Neurosurgery ◽  
1997 ◽  
Vol 41 (2) ◽  
pp. 396-402 ◽  
Author(s):  
Lars Kihlström ◽  
Tomas Hindmarsh ◽  
Ingmar Lax ◽  
Bodo Lippitz ◽  
Per Mindus ◽  
...  

NeuroImage ◽  
2013 ◽  
Vol 83 ◽  
pp. 200-209 ◽  
Author(s):  
Helen D'Arceuil ◽  
Alexandre Coimbra ◽  
Pamela Triano ◽  
Margaret Dougherty ◽  
Julie Mello ◽  
...  

1992 ◽  
Vol 70 (2) ◽  
pp. 483-498 ◽  
Author(s):  
David D. Smith

Estimates of the longitudinal stability of the normal adult personality decrease with increase in the length of the assessment-reassessment interval over which stability is measured, regardless of the method employed. This randomness in the evolution of personality is attributed to the inherent indeterminacy of the global dynamics of the normal human brain. The predictive power of theories of personality is fundamentally constrained. Explanatory personality theories should not be evaluated in terms of the proportion of the total variance that they predict over time but rather on the proportion of the predictable variance they account for.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 2520 ◽  
Author(s):  
Anchal Sharma ◽  
Asgar Hussain Ansari ◽  
Renu Kumari ◽  
Rajesh Pandey ◽  
Rakhshinda Rehman ◽  
...  

Somatic variation in DNA can cause cells to deviate from the preordained genomic path in both disease and healthy conditions. Here, using exome sequencing of paired tissue samples, we show that the normal human brain harbors somatic single base variations measuring up to 0.48% of the total variations. Interestingly, about 64% of these somatic variations in the brain are expected to lead to non-synonymous changes, and as much as 87% of these represent G:C>T:A transversion events. Further, the transversion events in the brain were mostly found in the frontal cortex, whereas the corpus callosum from the same individuals harbors the reference genotype. We found a significantly higher amount of 8-OHdG (oxidative stress marker) in the frontal cortex compared to the corpus callosum of the same subjects (p<0.01), correlating with the higher G:C>T:A transversions in the cortex. We found significant enrichment for axon guidance and related pathways for genes harbouring somatic variations. This could represent either a directed selection of genetic variations in these pathways or increased susceptibility of some loci towards oxidative stress. This study highlights that oxidative stress possibly influence single nucleotide somatic variations in normal human brain.


2020 ◽  
Author(s):  
Bahar Azari ◽  
Christiana Westlin ◽  
Ajay Satpute ◽  
J. Benjamin Hutchinson ◽  
Philip A. Kragel ◽  
...  

Machine learning methods provide powerful tools to map physical measurements to scientific categories. But are such methods suitable for discovering the ground truth about psychological categories? We use the science of emotion as a test case to explore this question. In studies of emotion, researchers use supervised classifiers, guided by emotion labels, to attempt to discover biomarkers in the brain or body for the corresponding emotion categories. This practice relies on the assumption that the labels refer to objective categories that can be discovered. Here, we critically examine this approach across three distinct datasets collected during emotional episodes- measuring the human brain, body, and subjective experience- and compare supervised classification studies with those from unsupervised clustering in which no a priori labels are assigned to the data. We conclude with a set of recommendations to guide researchers towards meaningful, data-driven discoveries in the science of emotion and beyond.


Sign in / Sign up

Export Citation Format

Share Document