Visual Discrimination


Definition/Introduction

Visual discrimination is the ability to detect differences in and ability to classify objects, symbols, or shapes. These can be categorized by color, position, form, pattern, texture, as well as size. In the simplest terms, the eyes normally receive input from the environment, and then various cells detect and transmit signals to the brain. For visual discrimination, specifically, the visual cortex, contained within the occipital lobe, is the area responsible for detecting the shape and orientation of objects. Three cell types in the primary visual cortex (simple, complex, and hypercomplex) display correspondingly increased ability to respond to motion and degree of linearity. A more in-depth explanation of the visual cortex is a separate neuroanatomy topic.[1]

The classification and categorization of vision form a basis for studying how humans receive and process visual stimuli. For example, a study of visual texture helps explain more complex connections between task modulation and perception.[2] Visual discrimination has intimate connections to other brain and body functions, including hearing, memory, motion, and ambulation.[3][4][5][6][7][8][9] Humans depend on learned visual and motion cues to interpret their surroundings.[10] Human performance can be examined through a visual lens. In sports, a study of gender differences in fencing identified both statistically significant similarities and differences in various visual capabilities.[11] In the arts, experimental data support that musicians have lower thresholds of discrimination for visual, as well as auditory and auditory-tactile stimuli.[12]

Visual discrimination should not be confused with visual acuity, which denotes the sharpness of visualization. Eye examinations can assess both using the traditional eye chart. (The patient identifies a letter or symbol, and determines how clear a letter or symbol at a distance.) Questionnaires can also help to assess a patient’s visual function.

Applications of technology should be studied to improve and assess relevant components of human visual function. Facial recognition, objectively measured using EEG, is more potent in the upright than in inverted orientations. This finding supports the human use of visual categorization and orientation.[13] Humans can also be compared to computers to assess the visual processing abilities of both. At present, prototypical and complex facial expression discrimination sensitivity of humans still outpaces artificial intelligence (AI) capabilities.[14]

Issues of Concern

Both changes and limitations in vision are of concern to the patient, and these issues span all stages of life. A significant amount of visual learning occurs in infants and young children.[15][16][17] Aging-related degeneration, as well as oncogenic processes, affect vision in a multitude of ways.[18][19][20][21][22] Vision is affected by both orbital tumors and tumors or other pathology affecting the optic nerve.

Sudden loss of vision or visual disturbances may indicate serious conditions, such as cerebral vascular accident (CVA). The loss of or a deficiency in visual discrimination specifically may have more subtle clinical connotations, such as increasing difficulty in discerning and describing the correct shape of a circular clock over time. Any condition that affects vision as a whole may also affect visual discrimination. Essentially, a patient cannot visually categorize objects that they are unable to see.

Clinical Significance

Specific conditions that affect vision and present clinically most commonly have neurological, degenerative, anatomic, or oncogenic etiologies. For example, visual agnosia is the loss of the ability to recognize faces or objects.[23] It may occur secondary to traumatic brain injury, dementia, or neurodegenerative conditions, such as multiple sclerosis.

Tumors contribute to a variety of visual discrimination deficiencies.[24][25] Tumors can be difficult to identify and/or remove without affecting surrounding tissue, which may include the visual cortex or important visual pathways.[26] Brain tumors and ophthalmic malignancies often affect children, but their longitudinal effects can be measured into adulthood by examining retinoblastoma survivors, for example.[27][28]

Red-green colorblindness is the most common form of color visual discrimination condition. It is predominantly seen in males as it is X-linked.[29] Red-green color blindness occurs because of an absence or deficiency in cone photoreceptors of the retina. A simple exam, called a plate test, can identify different types and degrees of color blindness. Eyewear can be used in some instances to help patients discern a broader range of colors.

A variety of visual discrimination effects are also seen secondary to:

  • Diabetic retinopathy [30]
  • Dyslexia [31]
  • Lewy body disorders [32]
  • ALS [33]  

This list is not all-inclusive; there are many more clinical examples of visual discrimination issues. Again, these conditions span all age groups, and a variety of primary causes or primary disease, leading to secondary visual effects.

Nursing, Allied Health, and Interprofessional Team Interventions

Many different types of diseases and deficits during development can cause visual discrimination disturbances. Practitioners need to be cognizant of and knowledgeable about when to refer a patient to a specialist for further examination and workup; this is especially true of Family Physicians and ophthalmologists, who are often the 1st to identify a visual issue in a patient.

Occupational and physical therapies are available for children to improve visual organization skills. Rehabilitation therapies are available for those with a traumatic brain injury affecting the visual cortex. Newer methods of training athletes to improve performance are also more regularly employed.

Nursing, Allied Health, and Interprofessional Team Monitoring

Patients should receive screening for visual changes, disturbances, and deficiencies at any age. Problems are also identifiable during well-child visits or routine adult annual physical examinations.


Details

Updated:

9/19/2022 11:58:26 AM

References


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Huff T, Mahabadi N, Tadi P. Neuroanatomy, Visual Cortex. StatPearls. 2024 Jan:():     [PubMed PMID: 29494110]


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Victor JD, Conte MM, Chubb CF. Textures as Probes of Visual Processing. Annual review of vision science. 2017 Sep 15:3():275-296. doi: 10.1146/annurev-vision-102016-061316. Epub     [PubMed PMID: 28937948]


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Li Q, Yu H, Li X, Sun H, Yang J, Li C. The informativity of sound modulates crossmodal facilitation of visual discrimination: a fMRI study. Neuroreport. 2017 Jan 18:28(2):63-68. doi: 10.1097/WNR.0000000000000719. Epub     [PubMed PMID: 27926629]


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Forder L, Lupyan G. Hearing words changes color perception: Facilitation of color discrimination by verbal and visual cues. Journal of experimental psychology. General. 2019 Jul:148(7):1105-1123. doi: 10.1037/xge0000560. Epub 2019 Mar 14     [PubMed PMID: 30869955]


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McCourt ME, Leone LM. Auditory capture of visual motion: effects on perception and discrimination. Neuroreport. 2016 Sep 28:27(14):1095-100. doi: 10.1097/WNR.0000000000000664. Epub     [PubMed PMID: 27513197]


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Nesti A,Beykirch KA,Pretto P,Bülthoff HH, Human discrimination of head-centred visual-inertial yaw rotations. Experimental brain research. 2015 Dec;     [PubMed PMID: 26319547]


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Brungart DS, Kruger SE, Kwiatkowski T, Heil T, Cohen J. The Effect of Walking on Auditory Localization, Visual Discrimination, and Aurally Aided Visual Search. Human factors. 2019 Sep:61(6):976-991. doi: 10.1177/0018720819831092. Epub 2019 Mar 14     [PubMed PMID: 30870052]


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Jörges B, Hagenfeld L, López-Moliner J. The use of visual cues in gravity judgements on parabolic motion. Vision research. 2018 Aug:149():47-58. doi: 10.1016/j.visres.2018.06.002. Epub 2018 Jun 21     [PubMed PMID: 29913247]


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Hijazi MM. Attention, Visual Perception and their Relationship to Sport Performance in Fencing. Journal of human kinetics. 2013 Dec 18:39():195-201. doi: 10.2478/hukin-2013-0082. Epub 2013 Dec 31     [PubMed PMID: 24511355]


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Sharp A,Houde MS,Maheu M,Ibrahim I,Champoux F, Improved tactile frequency discrimination in musicians. Experimental brain research. 2019 Jun;     [PubMed PMID: 30927044]


[13]

Retter TL, Rossion B. Visual adaptation reveals an objective electrophysiological measure of high-level individual face discrimination. Scientific reports. 2017 Jun 12:7(1):3269. doi: 10.1038/s41598-017-03348-x. Epub 2017 Jun 12     [PubMed PMID: 28607389]


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Del Líbano M, Calvo MG, Fernández-Martín A, Recio G. Discrimination between smiling faces: Human observers vs. automated face analysis. Acta psychologica. 2018 Jun:187():19-29. doi: 10.1016/j.actpsy.2018.04.019. Epub 2018 May 11     [PubMed PMID: 29758397]


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Adibpour P, Dubois J, Dehaene-Lambertz G. Right but not left hemispheric discrimination of faces in infancy. Nature human behaviour. 2018 Jan:2(1):67-79. doi: 10.1038/s41562-017-0249-4. Epub 2017 Dec 11     [PubMed PMID: 30980049]


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Tsurumi S,Kanazawa S,Yamaguchi MK, The development of object-based attention in infants. Infant behavior     [PubMed PMID: 29763770]


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Barsingerhorn AD, Boonstra FN, Goossens J. Development of Symbol Discrimination Speed in Children With Normal Vision. Investigative ophthalmology & visual science. 2018 Aug 1:59(10):3973-3983. doi: 10.1167/iovs.17-23168. Epub     [PubMed PMID: 30073368]


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Flaxman SR, Bourne RRA, Resnikoff S, Ackland P, Braithwaite T, Cicinelli MV, Das A, Jonas JB, Keeffe J, Kempen JH, Leasher J, Limburg H, Naidoo K, Pesudovs K, Silvester A, Stevens GA, Tahhan N, Wong TY, Taylor HR, Vision Loss Expert Group of the Global Burden of Disease Study. Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. The Lancet. Global health. 2017 Dec:5(12):e1221-e1234. doi: 10.1016/S2214-109X(17)30393-5. Epub 2017 Oct 11     [PubMed PMID: 29032195]

Level 1 (high-level) evidence

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Chen SP, Bhattacharya J, Pershing S. Association of Vision Loss With Cognition in Older Adults. JAMA ophthalmology. 2017 Sep 1:135(9):963-970. doi: 10.1001/jamaophthalmol.2017.2838. Epub     [PubMed PMID: 28817745]


[20]

Moret-Tatay C,Lemus-Zúñiga LG,Tortosa DA,Gamermann D,Vázquez-Martínez A,Navarro-Pardo E,Conejero JA, Age slowing down in detection and visual discrimination under varying presentation times. Scandinavian journal of psychology. 2017 Aug;     [PubMed PMID: 28670767]


[21]

Zhao Y, Zhao H, Lin JY, Pan Y, Zhai WJ, Wang YC. [Clinical and pathological analysis of ocular tumors in 504 children cases]. [Zhonghua yan ke za zhi] Chinese journal of ophthalmology. 2016 Oct 11:52(10):764-768. doi: 10.3760/cma.j.issn.0412-4081.2016.10.009. Epub     [PubMed PMID: 27760649]

Level 3 (low-level) evidence

[22]

Rasool N, Odel JG, Kazim M. Optic pathway glioma of childhood. Current opinion in ophthalmology. 2017 May:28(3):289-295. doi: 10.1097/ICU.0000000000000370. Epub     [PubMed PMID: 28257299]

Level 3 (low-level) evidence

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De Renzi E. Disorders of visual recognition. Seminars in neurology. 2000:20(4):479-85     [PubMed PMID: 11149704]


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Sefi-Yurdakul N, Visual findings as primary manifestations in patients with intracranial tumors. International journal of ophthalmology. 2015;     [PubMed PMID: 26309882]


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Tagoe NN, Essuman VA, Fordjuor G, Akpalu J, Bankah P, Ndanu T. Neuro-Ophthalmic and Clinical Characteristics of Brain Tumours in a Tertiary Hospital in Ghana. Ghana medical journal. 2015 Sep:49(3):181-6     [PubMed PMID: 26693194]


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Klingenstein A, Haug AR, Miller C, Hintschich C. Ga-68-DOTA-TATE PET/CT for discrimination of tumors of the optic pathway. Orbit (Amsterdam, Netherlands). 2015 Feb:34(1):16-22. doi: 10.3109/01676830.2014.959185. Epub 2014 Sep 29     [PubMed PMID: 25264824]


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Peragallo JH. Effects of Brain Tumors on Vision in Children. International ophthalmology clinics. 2018 Fall:58(4):83-95. doi: 10.1097/IIO.0000000000000237. Epub     [PubMed PMID: 30239365]


[28]

Friedman DN,Chou JF,Francis JH,Sklar CA,Li Y,McCabe M,Robison LL,Kleinerman RA,Oeffinger KC,Abramson DH,Dunkel IJ,Ford JS, Vision-Targeted Health-Related Quality of Life in Adult Survivors of Retinoblastoma. JAMA ophthalmology. 2018 Jun 1;     [PubMed PMID: 29710339]

Level 2 (mid-level) evidence

[29]

Naifeh J, Kaufman EJ. Color Vision. StatPearls. 2024 Jan:():     [PubMed PMID: 29261952]


[30]

Wang W, Lo ACY. Diabetic Retinopathy: Pathophysiology and Treatments. International journal of molecular sciences. 2018 Jun 20:19(6):. doi: 10.3390/ijms19061816. Epub 2018 Jun 20     [PubMed PMID: 29925789]


[31]

Sigurdardottir HM, Fridriksdottir LE, Gudjonsdottir S, Kristjánsson Á. Specific problems in visual cognition of dyslexic readers: Face discrimination deficits predict dyslexia over and above discrimination of scrambled faces and novel objects. Cognition. 2018 Jun:175():157-168. doi: 10.1016/j.cognition.2018.02.017. Epub 2018 Mar 16     [PubMed PMID: 29544151]


[32]

Li X,Rastogi P,Gibbons JA,Chaudhury S, Visuo-cognitive skill deficits in Alzheimer's disease and Lewy body disease: A comparative analysis. Annals of Indian Academy of Neurology. 2014 Jan;     [PubMed PMID: 24753653]

Level 2 (mid-level) evidence

[33]

Boven L, Jiang QL, Moss HE. Diffuse Colour Discrimination as Marker of Afferent Visual System Dysfunction in Amyotrophic Lateral Sclerosis. Neuro-ophthalmology (Aeolus Press). 2017 Dec:41(6):310-314. doi: 10.1080/01658107.2017.1326153. Epub 2017 Jun 1     [PubMed PMID: 29344070]