Long covid infection linked with risk of 'face blindness', warns new study

News Network
March 21, 2023

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New Delhi, Mar 21: Prolonged symptoms of Covid-19 may be associated with difficulty recognising faces, a little-known condition called face blindness, and navigational problems, according to a study.

Previous studies have shown that Covid-19 can cause a range of neurological problems, including the loss of smell and taste, and impairments in attention, memory, speech, and language, known as "brain fog".

The latest research, published in the journal Cortex, is the first to report prosopagnosia, or face blindness, following symptoms consistent with Covid-19.

The condition that can make people fail to recognise familiar faces, has been estimated to affect between 2 and 2.5 per cent of people in the world.

The researchers assessed the case of Annie, a 28-year-old customer service representative and part-time portrait artist in the US, who was diagnosed with Covid-19 in March 2020 and suffered a symptom relapse two months later.

"When I first met Annie, she told me that she was unable to recognise the faces of her family," said Marie-Luise Kieseler, a graduate student at Dartmouth College in the US, adding Annie now relies on voices to recognise people.

Annie also experienced navigational deficits after having Covid-19. She has had difficulty remembering where particular sections in her grocery store are and relies on Google maps and its pin function to remember where she parks her car.

“The combination of prosopagnosia and navigational deficits that Annie had is something that caught our attention because the two deficits often go hand in hand after somebody either has had brain damage or developmental deficits,” said study senior author Brad Duchaine, a professor at Dartmouth.

"That co-occurrence is probably due to the two abilities depending on neighbouring brain regions in the temporal lobe," Duchaine said in a statement.

Dr. Vinit Suri, Senior Consultant, Neurology, Indraprastha Apollo Hospitals, New Delhi noted that the exact mechanisms by which long Covid may cause face blindness are not yet fully understood, but there are several possible explanations.

"Firstly, long Covid can cause a range of neurological symptoms which may affect the brain regions responsible for face recognition, causing difficulty in processing visual information and recognising familiar faces," Suri told PTI.

"Secondly, Covid-19 can cause inflammation and damage to the blood vessels, which can lead to reduced blood flow to the brain. This can cause brain damage and cognitive impairments, including face blindness," he added.

The research team conducted a series of tests with Annie to evaluate her problems with face recognition and determine whether she also has difficulties with other perceptual or cognitive abilities.

In one test, Annie was sequentially presented with 60 images of celebrity faces and was asked to name them. Annie correctly identified 29 per cent of the 48 celebrities whom she was familiar with as compared to most people, who can correctly identify 84 per cent of familiar celebrities.

The second test was a doppelganger test. Annie was shown a celebrity's name and then presented with images of two faces: the face of a celebrity and that of someone similar, and was then asked to identify which face was the famous person.

She identified the celebrity in 69 per cent of the 58 trials, as compared to 87 per cent in the control group.

"Our results from the test with unfamiliar faces show that it wasn't just that Annie couldn’t recall the name or biographical information of a famous person that she was familiar with, but she really has trouble learning new identities," said Kieseler.

The research team also obtained self-reported data from 54 individuals who had long Covid with symptoms for 12 weeks or more, and 32 persons who had reported that they had fully recovered from Covid-19.

Most respondents with long Covid reported that their cognitive and perceptual abilities had decreased since they had Covid.

"It was not just a small concentration of really impaired cases but a broad majority of people in the long Covid group reported noticeable difficulties doing things that they were able to do before contracting Covid-19 without any problems," Kieseler said.

"Our study highlights the sorts of perceptual problems with face recognition and navigation that can be caused by Covid-19 -- it is something that people should be aware of, especially physicians and other health care professionals,” Duchaine added.

Dr. Atul Prasad, Principal Director & HOD Neurology, BLK-Max Super Speciality Hospital, New Delhi said this is the first report of long Covid causing prosopagnosia.

"The more we study the virus, the more we realise how much damage it can cause during acute infection and now after infection has settled," Prasad told PTI.

Suri noted that that not all people with long Covid will develop face blindness, and the severity and duration of symptoms can vary widely.

"Further research is needed to better understand the relationship between long Covid and face blindness and to develop effective treatments and interventions for those affected," he added. 

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News Network
November 22,2024

Mangaluru: A man fell victim to an online scam, losing Rs 1.7 crore after fraudsters posed as officials from TRAI. According to a complaint filed at the CEN police station, the incident began on November 11, when the complainant received a call from an unknown number at 9:49 am.

The caller, claiming to represent TRAI, alleged that another mobile number registered under the complainant's name was involved in illegal activities in Andheri (East), Mumbai. The caller further stated that an FIR was lodged against the complainant for harassment under the guise of marketing. He was instructed to contact Andheri (East) police station immediately or risk his mobile service being deactivated within two hours.

The complainant was subsequently connected to an individual named Pradeep Sawant, who claimed the complainant was implicated in a money laundering scheme linked to the Naresh Goyal fraud case. Sawant alleged that a fraudulent bank account under the complainant's name was opened at Canara Bank, Andheri, and used to purchase a SIM card for illegal activities. He warned that the complainant could face arrest.

Later, the complainant was contacted via WhatsApp video call by individuals posing as Rahul Kumar (a police officer) and Akanksha (a CBI officer). They allegedly sent fabricated CBI documents to his WhatsApp number. The fraudsters demanded money to "resolve" the case. Fearing threats, the complainant allegedly transferred Rs 1.7 crore through RTGS in batches of Rs 53 lakh, Rs 74 lakh, and Rs 44 lakh between November 13 and 19. A case has been registered at the CEN police station and an investigation is ongoing.

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News Network
November 12,2024

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Mysuru, Nov 12: Zameer Ahmad Khan, the Tourism and Waqf minister of Karnataka, who stirred a controversy by addressing the Union Minister HD Kumaraswamy as ‘Kaala Kumaraswamy’ has tendered apologies for his remarks.

Speaking to reporters in Mysuru on Tuesday, Minister Zameer stated that he will apologise if remarks have hurt JD-S workers.

“We both are very close. Then, in a total of 24 hours, we were together for 14 hours. He used to fondly address me as “kulla” (shorty) and I used to address him as “kariyanna” (blacky, kaalia),” Minister Zameer stated.

“I am not addressing him as ‘kaalia’ for the first time. I have not said something highly derogatory. It is being made as big in the backdrop of elections. With love, he used to call me a shorty and I called him a blacky. If I had caused pain to anyone by my words I apologise,” he said.

He further stated: “Kumaraswamy had said that he didn’t want the votes of the Muslim community. But now they are attempting to purchase Muslim votes. Against this backdrop, I have made the remark.”

Minister for Home G. Parameshwara stated on Tuesday, “Minister Zameer and Kumaraswamy are close friends. Their comments against each other are not significant.”

Zameer Ahmad Khan, the Tourism and Waqf minister of Karnataka stirred a controversy on Monday as he addressed the Union Minister as ‘Kaala Kumaraswamy’.

JD-S on Tuesday demanded a public apology and resignation of Minister for Waqf and Tourism Zameer Ahmad Khan over his ‘racist’ remarks.

“Remember, there is no place here for your divisive policies. You have insulted the people by making ethnic, racist and discriminatory statements. You should apologize to the people of the state and resign,” the JD (S) demanded in the post.

Union Parliamentary Affairs and Minister for Minority Affairs Kiren Rijiju reacted sternly to the racist jibe and stated, “I strongly deplore Congress Minister Zameer Ahmed calling Union Minister and former Chief Minister of Karnataka Kumaraswamy as 'Kaalia Kumaraswamy'.

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News Network
November 16,2024

Mangaluru: The Kavoor police in Mangaluru, Karnataka, have arrested three individuals from Kerala in connection with two separate cybercrime cases, including one involving extortion under the guise of a "digital arrest."

City Commissioner of Police Anupam Agrawal reported that one of the arrested individuals, Nisar, a resident of Ernakulam district, posed as a CBI officer. He allegedly threatened the complainant with arrest and extorted Rs 68 lakh. A case has been filed under sections 66 (C) and 66 (D) of the IT Act, and sections 308 (2) and 381 (4) of BNS.

In another case, the Kavoor police arrested two men, Sahil K P of Thiruvannur, Kozhikode, and Muhammad Nashath of Mappila Koyilandy, Kerala, in connection with a share trade fraud. The accused are alleged to have deceived the complainant by promising substantial profits from an investment in the stock market. Trusting the fraudsters, the complainant invested Rs 90 lakh, which was subsequently lost. A case has been registered under sections 66 (C) and 66 (D) of the IT Act, and sections 318 (4) and 3 (5) of BNS.

The accused were arrested in Koyilandi and presented before the court. The operation was carried out under the guidance of City Police Commissioner Anupam Agrawal, led by Mangaluru North Sub-Division ACP Srikanth K, Kavoor Inspector Raghavendra Byndoor, Kavoor PSI Mallikarjuna Biradara, and staff members Ramanna Shetty, Bhuvaneshwari, Rajappa Kashibai, Praveen N, and Malatesh. 

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