Share on Twitter Email LinkedIn Share on Facebook “It’s an impressive demonstration of imaging our feelings, of decoding our emotions from brain activity,” says lead author Luke Chang, an assistant professor in Psychological and Brain Sciences at Dartmouth. “Emotions are central to our daily lives and emotional dysregulation is at the heart of many brain- and body-related disorders, but we don’t have a clear understanding of how emotions are processed in the brain. Thus, understanding the neurobiological mechanisms that generate and reduce negative emotional experiences is paramount.”The quest to understand the “emotional brain” has motivated hundreds of neuroimaging studies in recent years. But for neuroimaging to be useful, sensitive and specific “brain signatures” must be developed that can be applied to individual people to yield information about their emotional experiences, neuropathology or treatment prognosis. Thus far, the neuroscience of emotion has yielded many important results but no such indicators for emotional experiences.In their new study, the researchers’ goals were to develop a brain signature that predicts the intensity of negative emotional responses to evocative images; to test the signature in generalizing across individual participants and images; to examine the signature’s specificity related to pain; and to explore the neural circuitry necessary to predict negative emotional experience.Chang and his colleagues studied 182 participants who were shown negative photos (bodily injuries, acts of aggression, hate groups, car wrecks, human feces) and neutral photos. Thirty additional participants were also subjected to painful heat. Using brain imaging and machine learning techniques, the researchers identified a neural signature of negative emotion — a single neural activation pattern distributed across the entire brain that accurately predicts how negative a person will feel after viewing unpleasant images.“This means that brain imaging has the potential to accurately uncover how someone is feeling without knowing anything about them other than their brain activity,” Chang says. “This has enormous implications for improving our understanding of how emotions are generated and regulated, which have been notoriously difficult to define and measure. In addition, these new types of neural measures may prove to be important in identifying when people are having abnormal emotional responses – for example, too much or too little — which might indicate broader issues with health and mental functioning.”Unlike most previous research, the new study included a large sample size that reflects the general adult population and not just young college students; used machine learning and statistics to develop a predictive model of emotion; and, most importantly, tested participants across multiple psychological states, which allowed researchers to assess the sensitivity and specificity of their brain model.“We were particularly surprised by how well our pattern performed in predicting the magnitude and type of aversive experience,” Chang says. “As skepticism for neuroimaging grows based on over-sold and -interpreted findings and failures to replicate based on small sizes, many neuroscientists might be surprised by how well our signature performed. Another surprising finding is that our emotion brain signature using lots of people performed better at predicting how a person was feeling than their own brain data. There is an intuition that feelings are very idiosyncratic and vary across people. However, because we trained the pattern using so many participants – for example, four to 10 times the standard fMRI experiment — we were able to uncover responses that generalized beyond the training sample to new participants remarkably well.” Pinterest Share A Dartmouth researcher and his colleagues have discovered a way to predict human emotions based on brain activity.The study is unusual because of its accuracy — more than 90 percent — and the large number of participants who reflect the general adult population rather than just college students. The findings could help in diagnosing and treating a range of mental and physical health conditions.The study appears in the journal PLOS Biology.
CNR Qiqihar has developed a stainless steel bodied iron ore wagon with a 40 tonne axleload for heavy haul lines in Australia. The axleload could be increased to 44 tonnes if required.La Farga has introduced its Dx3 Deep Defects Detector to the rail market, saying it can identify small defects inside grooved electrification contact wires during the manufacturing process. Norgren has launched a range of compact solenoids for rolling stock brake, door, windscreen wiper, suspension and wheel lubrication systems. DB Netz has selected Intergraph’s Geo-Media desktop suite to aggregate data within the AGON geographical information system which is being rolled-out to consolidate legacy systems and manage infrastructure documentation. Indian Railways is testing a Very Early Warning Smoke Detection System which Rail Coach Factory has installed on a rake of air-conditioned coaches.
The Airline Vikings, Parkway Panthers and Bossier Bearkats won boys basketball district games Tuesday night.Leader Airline opened the second half of District 1-5A play with a 66-48 home victory over Byrd.Parkway gave Airline (18-10, 7-0) some help with a 71-66 overtime victory over Evangel at Evangel. The Eagles (11-13, 5-3) went into the game tied with Southwood (13-12, 5-2), which was idle Tuesday, for second.In the other 1-5A game, Haughton fell to Captain Shreve 61-54 at home.In District 1-4A, co-leader Bossier routed Northwood 66-44 at Bossier on a night that former coach Jeremiah Williams was honored.Also in 1-4A, Benton suffered an 80-54 road loss to Booker T. Washington.Bossier (21-6, 8-1) and Woodlawn (22-5, 8-1), a 101-62 winner over Minden, remained tied for first in the district.In a District 1-1A game Monday night, Plain Dealing knocked off Arcadia 53-45 at Arcadia.At Airline, Fred Lemons hit three 3-pointers and paced the Vikings with 16 points. TJ Robinson added 11 and Trent Ivy 10.Airline led 11-8 after the first quarter and then outscored the Jackets 24-15 in the second. Lemons hit two from behind the arc and Ivy scored seven.At Evangel, Ty Hubbard poured in 24 points, including seven in OT, to lead Parkway (10-11, 3-5). Hubbard was 4 of 5 from the free-throw line in the extra period. Chase Turner hit three 3s en route to 19 points. He was 4 of 4 from the free-throw line in OT.Parkway rallied from a 32-21 halftime deficit. Hubbard scored nine points as the Panthers outscored the Eagles 21-11 in the third quarter to cut the deficit to one.Parkway hit four from long range in the fourth quarter, including two by Bryce Roberts (eight points) and one each by Turner and Sheldon Dudley.Freshman Gabe Larry scored eight of his 12 points in the second half, including four big free throws in the fourth quarter.At Haughton, the Bucs remained winless in district play but the seven-point margin was their closest since a 54-50 loss to Parkway on Jan. 9.At Bossier, Jacoby Decker and Dante Bell scored 16 and 14 points, respectively, to lead the Bearkats, who have won 12 straight.Kaalas Roots and Tim King chipped in with nine each.At BTW, Jalen Harding scored 20 in the Tigers’ loss. Benton dropped 14-12 and 5-4.At Arcadia, Dakeldric Oliver pumped in 25 points and Derrien Perry scored 17 to lead Plain Dealing (12-13, 6-3) to the win. — Russell Hedges, email@example.comPerfect-Dating.comAre You Ready to Meet Cool Guys in Tung Chung?Perfect-Dating.com|SponsoredSponsoredUndoTheTopFiveVPNThe Secret Netflix Doesn’t Want You To Know To Unblock RestrictionsTheTopFiveVPN|SponsoredSponsoredUndoAspireAbove.comRemember Abby from NCIS? Take A Deep Breath Before You See How She Looks NowAspireAbove.com|SponsoredSponsoredUndoNews gadgetThis watch takes the whole country by storm! it’s price? Ridiculous!News gadget|SponsoredSponsoredUndoTheTopFiveVPNThe Trick Netflix Doesn’t Want You To Know To Unlock RestrictionsTheTopFiveVPN|SponsoredSponsoredUndoCelebsland.com9 Celebrity Before-And-After Plastic Surgery DisastersCelebsland.com|SponsoredSponsoredUndo
Report a problem This item is… Shares Share ENDS IN Moana (2016) (Theatrical Version) Thank you! This will help us improve your ad experience. We will try not to show you such ads again. Inappropriate / Offensive Report a problem This item is… Inappropriate / Offensive $2.99 ENDS IN × Not relevant Displayed poorly Thank you! This will help us improve your ad experience. We will try not to show you such ads again. Thank you! This will help us improve your ad experience. We will try not to show you such ads again. Displayed poorly Add Comments (Max 320 characters) Inappropriate / Offensive Add Comments (Max 320 characters) Report a problem This item is… Displayed poorly DEAL OF THE DAY DEAL OF THE DAY $12.99 Not relevant Mona Lisa Smile Mail Ads by Amazon (723) Moana (2016) (With Bonus Content) Other Shop Related Products ENDS IN Not relevant DEAL OF THE DAY (9070) 0 Bestseller Bestseller Other Other $19.99 Add Comments (Max 320 characters) Share $3.99 LocalSportsJournal.comThe Mona Shores girls and boys cross country teams both turned in strong performances on Friday at the Benzie Central Pete Moss Invitational.Every Mona Shores runner posted a personal lifetime or season best time. The boys runners collectively shaved 12:19 off their time, while the girls dropped 18:39.The Mona Shores boys finished third during Session 1 of the invitational with 88 points. St. Clair won with 38 points.The top Sailor runner was Jackson Helmer, who finished third in the individual race with a time of 16:37.27. Caleb Branch finished 11th (17:22.41), Abram Frye took 23rd (18:28.85), Aiden Kreps was 24th (18:31.94) and Aiden Cook finished 25th (19:01.71).The Mona Shores girls finished fifth during Session 1 with 129 points. Petoskey took first with 33 points.The top runner for the Sailor girls was Robyn Hunt, who finished 15th with a time of 20:43.22. Cecilia Conrad finished 24th (21:49.16), Destiny Douglas was 25th (21:50.23), Audrey White took 31st (22:35.71), and Cienna Billingsley was 45th (24:38.38). Displayed poorly Inappropriate / Offensive (7681) Central Intelligence × Other Not relevant Bestseller (7801) Bestseller Add Comments (Max 320 characters) DEAL OF THE DAY × Report a problem This item is… ENDS IN Thank you! This will help us improve your ad experience. We will try not to show you such ads again. × Ads by Amazon
Russian international midfielder Aleksandr Golovin has signed for French Ligue 1 giants AS Monaco from CSKA Moscow.The 22-year-old moves to France after putting pen to paper on a five-year contract in a €30m deal.He was strongly linked with a move to Premier League side Chelsea before he agree to join the Principality club.Aleksandr Golovin was one of the key performers for hosts Russia as they surprisingly reached the quarterfinals of the just concluded FIFA World Cup tournament.Speaking about his move, Golovin said: “This is a new adventure for me.”Monaco vice president and chief executive Vadim Vasilyev added that: “Aleksandr has chosen the sporting project of Monaco, which will offer him the best conditions to continue his progress.”According to his new club, Aleksandr Golovin has been given the no.17 Jersey ahead of the upcoming league season.RelatedRussia Provide Update On Alan Dzagoev InjuryJune 14, 2018In “FIFA”Transfer: Eagles Star Musa Set For CSKA Moscow Loan Move; Medical To Hold In LondonJanuary 29, 2018In “National Team”Atletico Madrid Reach ‘Preliminary Agreement’ For Thomas Lemar TransferJune 12, 2018In “Europe”