email   Email Us: phone   Call Us: +1 (914) 407-6109   57 West 57th Street, 3rd floor, New York - NY 10019, USA

Lupine Publishers Group

Lupine Publishers

  Submit Manuscript

ISSN: 2638-6062

Peer Reviewed Journal of Forensic & Genetic Sciences

Review Article(ISSN: 2638-6062)

Forensic Applications of Recording the Neurocognitive Processes of Remembrance Volume 2 - Issue 3

Mukundan CR*, Sumit S and Chetan SM

  • Department of Neuropsychology, Axxonet Brain Research Laboratory, Bangalore, India

Received: September 19, 2018;   Published: September 24, 2018

*Corresponding author: Mukundan CR, Department of Neuropsychology, Axxonet Brain Research Laboratory, Axxonet System Technologies, Bangalore, India

DOI: 10.32474/PRJFGS.2018.02.000140


Abstract PDF

Also view in:


Knowing may be considered a virtual process as it is devoid of any experience composing emotion and sensory-motor contacts. Everyone may have enormous knowledge bank, without any accompanying sensory-motor experiences, with a need to recognize the external presence of the same signals. Multiple sets of events one may personally engage in everyday life are not later remembered, as they do not have any person significance. Acquisition of knowledge may take place in multiple contexts and methods, without any sensory-motor and emotional experiences, an individual comes to know of a new piece of information in multiples of semantic exchanges that may occur, though one may not have sensory-motor experience and any associated emotional effects about it. Remembrance on the other hand, is a process of retrieval of such autobiographic episode when one could have a reexperience of the earlier episode as the same brain areas representing the same sensory-motor experiences and emotional effects are reactivated. One could have an experience only by taking part in an activity, where as one may have close sensory experiences by witnessing an activity, both could be remembered by one. Ability to remember a previous experience therefore occurs only when one has participated in an activity, or partly present when was physically present in the event that took place. Mere knowledge of an episode would not help source memory activation and recreation of the sensory-motor events.

Keywords: Remembrance; Knowing; Cueing remembrance; Sensory-motor activation; EEG frequencies; EEG correlates of cognitive processes


Knowing and remembering have been considered two different neurocognitive processes (Mandler 1980), as knowing is essentially a process of recognition where the external model is identified as a known internal model [1]. Remembrance take place when sensorymotor imageries reactivated along with the earlier emotional effects in the individual. It was later supported in several brain imaging studies [2-10]. Registration of signals at the subcortical - brain stem areas evokes Brainstem Evoked Potentials, followed by the middle latency evoked potentials arising when the sensory signals arrive in the cortical area, for primary recognition. When the sensory signals reach the middle cortical layer, beyond the brain stem areas, cortical sensory registration of the signals take place, which also leads to attentional arousal, and these processes repeatedly occurring produce a positivity representing continuous sensory (visual) registration (P100/P80) followed by a negativity (N100/N140) representing attentional arousal towards the auditory or visual signals, and another positivity (P200). The time taken for auditory stimuli, these potentials occur faster at 70ms (P70), 100ms (N100) and 160ms (P160) [11]. Recognition of the incoming signals is the next processing stage, when a P300 is generated. What may be recognized could be mere change in the signal characteristics, which may serve a novelty effect or mere detection of the difference. The latter is seen when one must make a response to any change in the input signal. Such need state facilitates detection of even a minor change in the input characteristics, whereas detection of such changes may not occur, if the subject does not need to attend to such minor changes. Recognition of input signals is therefore the most important component of getting to know the changes, wherever such input signals could come from. However, the typical P1-N1-P2- and P3, are brief cerebral potentials associated with specific functional roles initiated in the cortex, and these potentials manifest transiently or form only when the signal inputs and their processing are of short duration.

Neurocognitive Processes in the Brain

The two major functional domains within the brain are related to drive or arousal, which propel the organism to make sensorymotor contacts, and the second is the cognitive processing system which help process and organize these relationships positively facilitating or negatively debilitating to the self and others, and mold own drive in positive or negative manner, when we call them positive or negative emotional arousal. The sensory-motor contacts and own emotional arousal are experienced as positive or negative and one’s emotional expressions through sensory-motor contacts are affected in the same manner. Recognition could be a simple to complex neurocognitive process. Recognition may start essentially as a modality specific simple to complex characteristic. However, if one may assign special meaning to specific characteristics, as in alphabets, numbers, and symbols, when one retrieve/convert what has been received as sensory change into a specific meaning, one has assigned or learned to the sensory inputs. What one retrieves from a knowledge bank using sets of recognized information is essentially knowledge, which remains as bank of mere knowledge. Knowing is essentially possessing information formed from the signals received through real sensory-motor contacts or virtual contacts, which may one attempts and assembles real and equivalent physical contacts and learn to experientially verify them. One learns to assemble the such value-based relationships at conceptual levels, and one learns to experientially validate the outcome effects. Sensory-motor contacts are made in virtual formats with the same relationships so that the outcome forms in predefined and predicted manner. Individuals store in memory huge knowledge bank and skills and retrieve relevant information and skills from the knowledge bank and skill-store for external expressions and creative works. What may be externally stored are often not mere basic information alone for facilitating knowledge, but huge capabilities for learning, managing, and creating new relationships with their positive and negative outcomes. Dealing with virtual realities, allow one to experiment as well as create new relationships.

Experiencing Sensory-Motor Contacts

Experiencing sensory-motor contacts with reality and the cognitive interpretations and judgments of associated emotional arousal constitute experience of an individual. An experience has therefore molded emotional effects and interpreted sensorymotor contacts. Retrieval of an experience is remembrance of the interpreted sensory-motor contacts, and molded emotional effects, all of which are personally constituted. The brain activation in remembrance is almost recreation of the experiential effects in the individual, unlike mere retrieval of knowledge. Mander in the early years (1980) itself differentiated knowing from remembrance, which was later supported by several authors in their studies [2- 10,12-23] while comparing episodic or autobiographic memory with knowing and semantic memory. Multiple memory systems were proposed [24- 27] (7-9,13-23] mainly for explaining the neural process remembrance. Remembrance of past personal events require activation of the source memory [28-34]. Activation of bilateral middle temporal lobes along with hippocampus and medial frontal regions contribute to remembrance of autobiographical episodes [35-41]. Gilboa [18] obtained activation of left ventromedial prefrontal cortex during autobiographic recalls, whereas a right mid dorsolateral prefrontal activation was seen in the recall of familiar words, pictures, and faces, differentiating between routine episodic recall and recall of autobiographical events. Cabeza et al. [17] found that autobiographical recall produced greater activation of medial prefrontal cortex, visual and para hippocampal region and hippocampus, representing self-referential processing effect, visual and spatial memory effect, and recall effect respectively. These studies showed that activation during remembrance generally extended across the anterior and posterior parts of the middle temporal gyrus spreading into superior temporal sulcus, tempero-parietal junction, middle and superior frontal gyri, anterior paracingulate and cingulate gyri and left inferior orbital frontal gyrus pars orbitalis. On the other hand, pure semantic retrieval always produced activation of bilateral supramarginal and inferior frontal cortices, left insular cortex, and inferior temporal gyrus.

Remembrance of Experience

A Multiple Memory Trace (MMT) was seen to be produced in remembrance without presence of sensory inputs, leading to a reexperience, and the process could be repeated for longer durations and any number of times, unlike mere recognition of sensory inputs. Such MMT is a typical example of remembrance, whereas such repetitions do not occur during simple perception and recognition. Remembrance is often cued by external sensorymotor contacts, when one remembers an earlier experiential episode, with their sensory-motor imageries and emotional effects. Remembrance may occur almost instantly or with indefinite delays. During remembrance, one must look into the self and reexperience the recreated sensory-motor imageries, unlike directing attention outward to experience the sensory-motor contacts. Emotional arousal could occur both during recognition as well as remembrance. Emotional arousal accompanies activation of hippocampus, para hippocampus, and prefrontal cortex, in addition to amygdala, orbitofrontal cortex and anterior cingulate, which are multiple areas activated in all emotionally provoking conditions. Emotional arousal may occur during recognition (Smith et al. 2004), though one may generally attempt to avoid emotional arousal in normal semantic processing, unless the semantic processing is carried out for exchange of personally relevant ideas and experiences. Presence of emotional effects during recognition renders the perceptual episode to have personal significance and the presence of emotional effects render the episode capable for later remembrance. Absence of emotional effects in semantic processing and behavioral outputs render the perceptual and behavioral episode non-retrievable. Thus, one does not remember the regular food one eats every day, hundreds of activities one may routinely repeat, including semantic processing including conversations. On the other hand, presence of emotional arousal renders even minor sensory-motor contacts memorable for one, prosodic changes in speech may activate various subcortical and cortical areas directly related to emotional arousal [42-44]. This has been also reported in multiple lesion studies [42-45]. Presence of the same emotional arousal in normal brain would then reactivate the same areas of the brain during their remembrance.

Recreation of Sensory-Motor Activations in the Brain

Another important component of remembrance is the recreation of the various sensory-motor imageries that one recognized during an experience. The recreation of the sensory-motor imageries constitutes reexperience of the earlier experience, when and with the same emotional effects. There have been several studies which have shown such sensory-motor reactivation during remembrance based on the primary activation experienced [46-52]. Similar effects have been seen with regard to reactivation of motor imageries [53-59]. Sensory-motor reactivation of an original experience is a virtual reexperience of the original behavioral and perceptual activation, which the individual could semantically express again and become verbally aware of the entire experience, its genesis, direction, intensity, and outcome effects. Ganis et al. [47] in their neuroimaging study found that frontal and parietal areas have more specific roles in recreating visuospatial imageries and their integration. Remembrance of a past activity therefore, facilitates recreation of a virtual world based on the original experiences, and one could go through the reexperience of the virtual world recreated in the brain. However, such reexperience is possible only if one has had a real experience earlier. A semantic recreation of an experience may not succeed even in the recreation of a virtual world which may resemble the real original experience. One may partly succeed in the recreation of a virtual experience, even though the components may not be drawn from a real experience. This is indeed the reflection of the dramatic capability of an individual. One may be able to pretend that one is reexperiencing sensorymotor imageries, without having the recreation of the imageries in the brain. One the other hand, one may be able to recreate the brain imageries based on another similar experience, and pretend that one is remembering an original experience, which one has not had. However, one may need lot of practice and capability to recreate brain stimulation resembling such virtual experiences and emotionally react to them. Virtual recreation of sensorymotor imageries in the brain is indeed very different from the self-recreation of an earlier real imagery and its experience, which may take place automatically, while making online sensory-motor contacts.

Recording Remembrance of Experience

An important forensic task has always been to elicit the truth from individuals, who may be taken in as suspects with some specific involvement in a crime already committed. It is a general phenomenon that the person who has really committed a criminal act may want to hide his or her involvement in the criminal activity and pretend to be innocent. Detection of the crime and eliciting the truth and involvement in a criminal act has always been a most difficult investigative task, as individuals invariably hide the truth and try to implicate others as responsible for the criminal activity. Detection of significant physiological responsible generally present when a person makes an untrue revelation has been the commonly used Polytrophic method of lie detection. However, knowing that one may be telling a lie, may only party help in the process of crime investigation. Another method that was tried out was related to recognition of crime related objects and information, when a person may produce significant increase in the P300 event related potential while recognizing such objects or information which one might have made use of. Another related method was to search for a memory recall while recognizing such objects or information. However, it was again based on an event related potential generally recoded in s single channel EEG system. Yet another method that came to be successfully used was related to recording several neural changes during remembrance of crime related events, which automatically takes place, even if the subject does not have to give any response at all. Cueing of remembrance takes place using short sentences referring to various stages of actions and responses that could have taken place. Remembrance automatically takes place while listening to short sentences (probes) which refer to the multiple actions and responses that could have taken place. Significant remembrance profile occurs only in those who were present in the crime scenario, including those who could have been directly involved in committing the crime. The remembrance responses are captured in multichannel EEG, which could reflect the neural changes from a total top of the brain giving a vast topographical representation of changes.

Cueing Remembrance

Cued remembrance has been used as basic process for detecting presence of neural processes in the brain, which could be present only if one could remember or recreate the experience of a past response or action, which may also recreate an earlier emotional experience in a person. The presence of multiple neural processes associated with remembrance is taken to indicate the presence of related experiences in a person, which he or she could have acquired only if her participated in the related activity. Cueing is a process of prompting or triggering one to remember a specific act or event, when all the related neural processes will automatically be recreated in the brain. One may be cued by several short sentences, so that one is prompted to remember sequence of experiences related to events or actions. One is not expected to respond to the verbal cueing. The sequentially related probes are arranged in a scenario and different scenarios contain different formulations or episodes. The probe does not convey any complete sentence but gives a reference to an experience. For example, the probes may “I ran fast”, I was almost behind him”, “Finally I felt I was reaching him”, “I stretched out my hand”. and so on. It is a general practice that one may present more than one formulation describing one’s participation in an act. The epoch length for each probe is 10sec, of which the first 3secs are used as pre-probe base line followed by the probe epoch. The next probe would be presented from 3sec and each probe may last maximum another 3secs. The total epoch duration is 10secs with 3secs of pre-probe base line. The EEG power of each channel is divided into 10 frequency ranges (0.1-85Hz) and the total power of EEG for each frequency range is determined for multiple EEG segments in sequence. The total power in the left and right electrode leads, separated from the midline electrode leads is compared with the pre-probe base line power. The power spectrum analyses and their statistical comparisons were carried out separately for the total power in the left and right electrodes, and for each individual channel separately for each probe epoch compared with the pre-probe power for multiple data segments in each second. The total power in each frequency range is divided into multiple segments in each second, and the statistical significance of the difference of power in each sequential segment is compared to that of the pre-probe base line segments.

EEG Correlates of Neurocognitive Processing

Electrophysiological studies with surface electrodes have been for recording Event Related Potentials for understanding various cognitive functions. Surface recording of EEG has been used for differentiating remembrance from knowing in a few earlier studies [60,61] using event related potentials. They presented certain specific narratives in a session and expected the subject to identify the same in a second session of related and unrelated words were presented. Remembrance of earlier narratives were associated with the strong positivity in an ERP paradigm in the 600-1000 millisecond range. The positivity was bilaterally predominant in the frontal areas and lesser in the parietal areas, which was absent in the other conditions tested. The ERPs could differentiate between true and false remembrance of words, whereas ERP difference was not seen between true and recognitions. The EEG recorded from the brain surface may be the reflection of several changes in the functional state of the various subcortical and cortical areas, and hence could only be taken as possible reflection of several such changes. This could indeed be seen more specifically in neuroimaging studies. Excess beta oscillations have been often looked upon with clinical significance, and hence its neurocognitive importance has not been adequately understood. Excess beta oscillations have been suggested to show an excitation-inhibition imbalance in the cortex in alcohol dependent subjects [62] and it is commonly known condition in various barbiturate/hypnotic drug induced states.

Desynchronization of alpha is always accompanied by increased beta activity and hence increase in beta activity has been considered associated with the presence of cognitive processing, when greater neural resources are utilized in the brain. Changes in the power of delta, theta, high alpha and gamma oscillations were considered to be of cognitive significance [63-69] found that delta band frequencies have such specific association with awareness of internal processing. Robinson [70] reported that 4Hz activity is related to behavioural arousal and it is negatively related to 10 Hz activity. The cognitive roles of theta and alpha frequencies ranges have been demonstrated in several studies [71-74]. Rohm et al [75] found that visually presented sentence processing caused greater theta activity whereas upper alpha increased only when there was semantic demand during the processing. On the other hand, beta activity is induced in all conditions when there is cognitive demand, and the activity subsides when the demand is completed. It was found that beta activity has been associated with mental motor imageries, which has been repeatedly seen in BEOS tests. Increase in beta activity was seen over the primary motor cortex even during action observation [76] indicating the possibility of presence of motor imagery produced by mirror neurons. In a comparative study of Pet and EEG Nakamura et al. [43] found that beta power was positively correlated with rCBF in the prefrontal cortices including the anterior cingulate, while participants listened to music. Olufsen et al. [77] found that gamma (30-80Hz) and beta (12-30Hz) rhythms occur successively and may have important roles in the maintenance of cell assemblies requiring neural binding. Haenschel et al. (2000) reported interdependency between gamma and beta activity while listening to novel auditory stimuli. The role of gamma activity in the 35 - 85Hz range during retrieval of information, especially visual mental imageries has been demonstrated in several studies [78-83]. Increase in the coherence of gamma activity across left frontoparietal areas is an indication of the frontal lobes recruiting neural structures from the parietal areas for common functional involvement, during remembrance of visual mental imageries (Mukundan 2005). The frontal participation is associated with the use and recall of the verbally transcoded information from which the visual mental imagery can be reconstituted, which is accomplished in the posterior brain areas.

Desynchronization of alpha rhythms is always noticed, while listening to auditory probes. This is considered to indicate the registration of the probe in the brain, which is always seen in the very early stage of probe presentation in all channels. While listening to probes, this is always followed by significant increase in the high alpha and beta rhythms, indicating presence of encoding process, needed for interpretation of the meaning of the inputs. These changes may be followed by occurrence of remembrance of a past experiential episode, if at all one has had such experience, which may also be accompanied by significant increase in gamma activity as one would need to produce sensory-motor imageries while remembering. This results in significant increase in the phase relationship of gamma activity between pairs of selected electrodes, compared with the phase relationship in the pre-probe segments in the same channels. This relationship must be present in the left and right fronto-central, fronto-temporal, fronto-parietal, and frontooccipital electrodes. Significantly high phase coherence between the same gamma frequency bands of these pairs of electrodes, when the two electrode sites are being activated together, indicate the participation of the two locations associated with electrodes in the brain, in common functional tasks such recreation of imageries, as seen in the various fMRI tests already discussed. Source memory activation and inward direction of attentional arousal are important other components of the presence of process of remembrance taking place.

Significantly increased power in the theta frequency range during probe presentation, in comparison with the pre-probe power levels, has been taken to indicate such inward attentional shift. Yet another significant increase in theta power that may occasional be seen is the significant decrease in the accompanying power of various other frequency ranges for extended data segments in sequential manner. It was found through post interviews that such decrease occurs when the individual becomes emotionally activated. Emotional arousal or trauma causes continuous reduction in the power in various frequency ranges, which indicate absence or blocking of cognitive processes in the individual because of the traumatic emotional effects. This has been identified and labelled as indication of Emotional Response in the BEOS recordings. Yet another important indication of remembrance taking place is the presence of significant positive Event Related Potential that emerges mainly in the anterior areas and also spreading to other areas, based on the presence of the sensory-motor components remembered [84-107]. However, this positive potential could occur at any point in time, after the onset of presentation of a probe and it lasts generally for 2000 milliseconds or more. The ERP may appear peak anywhere before the epoch gets over. Individuals have reported remembrance of an event or experience taking place even after several hours. As the epoch length is only for 7 secs, with additional 3 secs pre-probe time, if remembrance takes place beyond the 7 secs range, it does not get recorded by the system, unless it has started within the 7 secs. and has peaked well before the beginning of the next probe. Such positive response does not generally accompany or follow a P300 response representing mere recognition, unless the recognized information cues a remembrance. The long width of the positivity makes it mandatory to measure and confirm the morphology of the waveform, so that a slow or artificial shift in the EEG rhythm would not be misidentified as the remembrance ERP. A minimum number of 3 adjacent channels from the left or right frontal areas are considered necessary for the system to accept a late positivity indicating occurrence of process of remembrance taking place in the individual being tested. BEOS system accepts presence of remembrance occurring during a probe presentation only if all the parameters of remembrance are significantly present. Absence of significant presence of even a single variable, takes the system off the analysis process. Once the analyses are completed, the BEOS system automatically prints out the final report with interpretation of the findings on each probe.

The non-invasive procedure used in regular EEG procedure without having to give any response to the statements one is expected to listen to, allows a subject to take part in the study for long duration, as well as carry out repetition of the procedure. A suspect would sit and listen to the probes silently without any apparent anxiety or objection as he is not expected to give any response. Further several of the probes refer to actions really carried out by a person, which the subject would fully agree with. Forensic investigation in which the suspect only needs verbal statements without having to give nay response is during forensic investigative procedures. That the BEOS is a procedure, in which the subject has to only hear the auditory probes, whether one may agree with it or not, do not cause discomfort as one could listen to the probes without giving any oral or behavioural response, which gives immense self-confidence to a person to submit oneself to the test procedure. The BEOS test could be repeated on a person using the same probes and could obtain the same results. That a person may be subjected to listen to the probes constituting different formulations of actions further strengthens his or her willingness for the test. A subject may try to think of other events or carry out other mental processing such as preying etc. However, the system continuously measures and online analyses the EEG, and any indication of a person carrying out an alternate cognitive process, blocks the automatic presentation of the probes. Each suspect is given a task that he or she must listen to the probes and try to remember the probes after completion of the test, by writing them down from memory. BEOS findings are currently recommended not to accept as direct evidence in a court of law, as we are making an interpretation based on the presence of neural changes of remembrance that the person has carried out a specific task. The test findings are used for further interrogations and investigations leading to confessions as well as other evidence, acceptable in the courts of law. This has been a highly successful task as several hundreds of cases could be solved by conducting investigations based on BEOS findings. Such repetitions have become a common and useful method as they strengthen the examiner’s points of view of a case with adequate supports for the explanations. With the use of BEOS, the examiner may often suggest alternate or additional lines of investigations, which may yield new results and the case could be solved in a different line, which might not have been earlier considered. The remembrance specific ERP may occur the moment the person gets the cueing effect and the components of remembrance of the related experience could be instantly recreated. In BEOS technology the remembered component is called “Experiential Knowledge”. Even the virtual world one creates, and lives may have experiential components, though weak and unreal, as they may be unlike real experiences.


  1. Sokolov EN (1963) Perception and the Conditioned Reflex, Oxford, Pergamon.
  2. Tulving E (1987) Multiple memory systems and consciousness. Human Neurobiology 6(2): 67-80.
  3. Gardiner JM, Java RI (1990) Recollective experience in word and nonword recognition. Memory & Cognition 18(1): 23-30.
  4. Tulving E, Kapur S, Markowitsch HJ, Craik FIM, Habib R, et al. (1994) Neuroanatomical correlates of retrieval in episodic memory: auditory sentence recognition. Proceedings of National Academy of Science, U.S.A 91(6): 2012-2015.
  5. Lepage M, Habib R, Tulving E (1998) Hippocampal PET activations of memory encoding and retrieval: The HIPER model. Hippocampus 8(4): 313-322.
  6. Smith EE, Jonides J (1999a) Neuroimaging analyses of human working memory. Proceedings of National Academy of Science, USA 95(20): 12061-12068.
  7. Smith EE, Jonides J (1999b) Storage and executive processes in the frontal lobes. Science 283(5408): 1657-1661.
  8. Aggleton JP, Brown MW (1999) Episodic memory, amnesia, and the hippocampal-anterior thalamic axis. Behaviour & Brain Sciences 22(3): 425-444.
  9. Fletcher PC, Henson RN (2001) Frontal lobes and human memory: insights from functional neuroimaging. Brain 124(Pt 5): 849-881.
  10. Burgess N, Maguire EA, O Keefe J (2002) The human hippocampus and spatial and episodic memory. Neuron 35(4): 625-641.
  11. Mukundan CR (1986a) Evoked Potentials: Basic Principles and Methods, NIMHANS Publications No 11.
  12. Haenschel C, Baldeweg T, Croft RJ, Whittington M, Gruzelier J (2000) Gamma and beta frequency oscillations in response to novel auditory stimuli: A comparison of human electroencephalogram (EEG) data with in vitro models. Proceedings of National Academy of Science USA 97(13): 7645-7650.
  13. Turriziani P, Carlesimo GA, Perri R, Tomaiuolo F, Caltagirone C (2003) Loss of spatial learning in a patient with topographical disorientation in new environments. Jounral of Neurology, Neurosurgery & Psychiatry 74(1): 61-69.
  14. Luu P, Posner MI (2003) Anterior cingulate cortex regulation of sympathetic activity. Brain 126(Pt 10): 2119-2120.
  15. Graham KS, Lee AC, Brett M, Patterson K (2003) The neural basis of autobiographical and semantic memory: new evidence from three PET studies. Cognitive, Affective & Behavioural Neuroscience 3(3): 234-254.
  16. Markowitsch HJ, Vandekerckhove MM, Lanfermann H, Russ MO (2003) Engagement of lateral and medial prefrontal areas in the ecphory of sad and happy autobiographical memories. Cortex 39(4-5): 643-665.
  17. Cabeza R, Prince SE, Daselaar SM, Greenberg DL, Budde M, et al. (2004) Brain activity during episodic retrieval of autobiographical and laboratory events: an fMRI study using a novel photo paradigm. Journal of Cognitive Neuroscience 16(9): 1583-1594.
  18. Giloba A, Winocur G, Grady CL, Hevenor SJ, Moscovitch M (2004) Remembering our past: functional neuroanatomy of recollection of recent and very remote personal events. Cerebral Cortex 14(11): 1214- 1225.
  19. Horiike A, Kuroki T, Sato K, Terada K, Li qun W, et al. (2004) An fMRI study on autobiographical memory retrieval. International Congress Series 1270: 306-310.
  20. Vandekerckhove MM, Markowitsch HJ, Mertens M, Woermann FG (2005) Bi-hemispheri engagement in the retrieval of autobiographical episodes. Behavioral Neurology 16(4): 203-210.
  21. Umeda S, Akine Y, Kato M, Muramatsu T, Mimura, et al. (2005) Functional network in the prefrontal cortex during episodic memory retrieval. Neuroimage 26(3): 932-940.
  22. Naghavi HR, Nyberg L (2005) Common fronto-parietal activity in attention, memory, and consciousness: shared demands on integration? Consciousness & Cognition 14(2): 390-325.
  23. Steinvorth S, Corkin S, Halgren E (2006) Ecphory of autobiographical memories: an fMRI study of recent and remote memory retrieval. Neuroimage 30(1): 285-298.
  24. Squire LR (1992) Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans. Psychological Review 99(2): 195-231.
  25. Nadel L, Moscovitch M (1997) Memory consolidation, retrograde amnesia and the hippocampal complex. Current Opinion in Neurobiology 7(2): 217-227.
  26. Nadel L, Moscovitch M (1998) Hippocampal contributions to cortical plasticity. Neuropharmacology, 37(4-5): 431-439.
  27. Friedman D, Johnson R (2000) Event-related potential (ERP) studies of memory encoding and retrieval: A selective review. Microscopy Research & Technique 51(1): 6-28.
  28. Cinel C, Humphreys G, Poli R (2002) Cross-modal illusory conjunctions between vision and touch. Journal of Experimental Psychology: Human Perception and Performance 28(5): 1243-1266.
  29. Marsh RL, Hicks JL, Taylor TD (2002) Source monitoring does not alleviate (and may exacerbate) the occurrence of memory conjunction errors. Journal of Memory and Language 47(2): 315-326.
  30. Cycowicz YM, Friedman D, Rothstein M, Snodgrass JG (1997) Picture naming by young children: norms for name agreement, familiarity, and visual complexity. Journal of Experimental Child Psychology 65(2): 171- 137.
  31. Cycowicz YM, Friedman D, Snodgrass JG, Duff M (2001) Recognition and source memory for pictures in children and adults. Neuropsychologia 39(3): 255-267.
  32. Hicks JL, Marsh RL (2001) False recognition occurs more frequently during source recognition than during old-new recognition. Journal of Experimental Psychology: Learning, Memory and Cognition 27(2): 375- 383.
  33. Jones TC, Jacoby LL, Gellis L (2001) Cross-modal feature and conjunction errors in recognition memory. Journal of Memory and Language 44(1): 131-152.
  34. Troyer AK, Craik FI (2000) The effect of divided attention on memory for items and their context. Canadian Journal of Experimental Psychology 54(3): 161-171.
  35. Maguire EA, Frith CD (2003) Lateral asymmetry in the hippocampal response to the remoteness of autobiographical memories. Journal of Neuroscience 23(12): 5302-5307.
  36. Haist F, Bowden Gore J, Mao H (2001) Consolidation of human memory over decades revealed by functional magnetic resonance imaging. Nature Neuroscience 4(11): 1139-1145.
  37. Leveroni CL, Seidenberg M, Mayer AR, Mead LA, Binder JR, et al. (2000) Neural systems underlying the recognition of familiar and newly learned faces. Journal of Neuroscience 20(2): 878-886.
  38. Reinkemeier M, Markowitsc, HJ, Rauch M, Kessler J (1997) Differential impairments in recalling people’s names: a case study in search of neuroanatomical correlates. Neuropsychologia 35(5): 677-684.
  39. Nyberg L, McIntosh AR, Cabeza R, Habib R, Houle S, et al. (1996) General and specific brain regions involved in encoding and retrieval of events: what, where, and when. Proceedings of National Academy of Science, U.S.A 93(20): 11280-11285.
  40. Evans JJ, Heggs AJ, Antoun N, Hodges JR (1995) Progressive prosopagnosia associated with selective right temporal lobe atrophy. A new syndrome? Brain 118(Pt 1): 1-13.
  41. Harris DM, Kay J (1995) I recognize your face but I can’t remember your name: is it because names are unique? British Journal of Psychology 86(Pt 3): 345-358.
  42. Basar E, Basar Eroglu C, Karakas S, Schürmann M (1999) Oscillatory brain theory: a new trend in neuroscience. IEEE Engineering in Medicine & Biology 18(3): 56-66.
  43. Nakamura S, Sadato N, Oohashi T, Emi Nishina, Yoshitaka Fuwamoto Y, et al. (1999) Analysis of music-brain interaction with simultaneous measurement of regional cerebral blood flow and electroencephalogram beta rhythm in human subjects. Neuroscience Letters 275(3): 222-226.
  44. Andersson S, Krogstad JM, Finset A (1999) Apathy and depressed mood in acquired brain damage: Relationship to lesion localization and psychophysiological reactivity. Psychological Medicine 29(2): 447-456.
  45. Basar E, Basar Eroglu C, Karakas S, Schürmann M (2000) Brain oscillations in perception and memory. International Journal of Psychophysiology 35(2-3): 95-124.
  46. Klein I, Paradis AL, Poline JB, Kosslyn SM, Le Bihan D (2000) Transient activity in the human calcarine cortex during visual-mental imagery: an event-related fMRI study. Journal of Cognitive Neuroscience 12(Suppl 2): 15-23.
  47. Ganis G, Thompson WL, Kosslyn SM (2004) Brain areas underlying visual mental imagery and visual perception: an fMRI study. Brain Research Cognitive Brain Research 20(2): 226-241.
  48. Sparing R, Mottaghy FM, Ganis G, Thompson WL, Topper, et al. (2002) Visual cortex excitability increases during visual mental imagery-a TMS study in healthy human subjects. Brain Research 938(1-2): 92-97.
  49. Kosslyn SM, Pascual Leone A, Felician O, Camposano S, Keenan JP, et al. (1999) The role of area 17 in visual imagery: convergent evidence from PET and rTMS. Science 284(5411): 167-170.
  50. Kosslyn SM, Thompson WL, Alpert NM (1997) Neural systems shared by visual imagery and visual perception: a positron emission tomography study. Neuroimage 6(4): 320-334.
  51. Kosslyn SM, Thompson WL, Sukel KE, Alpert NM (2005) Two types of image generation: evidence from PET. Cognitive, Affective & Behavioral Neuroscience 5(1): 41-53.
  52. Kozhevnikov M, Kosslyn S, Shephard J (2005) Spatial versus object visualizers: A new characterization of visual cognitive style. Memory & Cognition 33(4): 710-726.
  53. Melzack R (1990) Phantom limbs and the concept of a neuromatrix. Trends in Neurosciences 13(3): 88-92.
  54. Melzack R (1992) Phantom limbs. Scientific American 266: 120-126.
  55. Ramachandran VS, Hirstein W (1998) The perception of phantom limbs. DO Hebb lectures. Brain 121: 1603-1630.
  56. Dettmers C, Adler T, Rzanny R, van Schayck R, Gaser C, et al. (2001) Increased excitability in the primary motor cortex and supplementary motor area in patients with phantom limb pain after upper limb amputation. Neuroscience Letters 307(2): 109-112.
  57. Lacourse MG, Orr EL, Cramer SC, Cohen MJ (2005) Brain activation during execution and motor imagery of novel and skilled sequential hand movements. Neuroimage 27(3): 505-519.
  58. De Lange FP, Hagoort P, Toni I (2005) Neural topography and content of movement representations. Journal of. Cognitive. Neuroscience 17(1): 97-112.
  59. Nyberg L, Eriksson J, Larsson A, Marklund P (2006) Learning by doing versus learning by thinking: An fMRI study of motor and mental training. Neuropsychologia 44(5): 711-17.
  60. Mecklinger A (2000) Interfacing mind and brain: A neurocognitive model of recognition memory. Psychophysiology 37(5): 565-582.
  61. Allan K, Wilding EL, Rugg MD (1998) Electrophysiological evidence for dissociable processes contributing to recollection. Acta Psychologica 98(2-3): 231-252.
  62. Rangaswamy M, Porjesz B, Chorlian DB, Wang K, Jones KA, et al. (2002) Beta Power in the EEG of Alcoholics. Biological Psychiatry 52(8): 831- 842.
  63. Basar E (2008) Oscillations in “brain-body-mind”-a holistic view including the autonomous system. Brain Research 15(1235): 2-11.
  64. Basar E (2006) The theory of the whole-brain-work. International Journal of Psychophysiology 60(2): 133-138.
  65. Basar E (1999) Brain Function and Oscillations. II. Integrative Brain Function. Neurophysiology and Cognitive Processes.
  66. Basar E, Basar Eroglu C, Karakas S, Schürmann M (2001a) Gamma, alpha, delta, and theta oscillations govern cognitive processes. International Journal of Psychophysiology 39(2-3): 241-248.
  67. Basar E, Schürmann M, Sakowitz O (2001b) The selectively distributed theta system: functions. International Journal of Psychophysiology 39(2-3): 197-212.
  68. Basar E, Schürmann M, Basar Eroglu C, Demiralp T (2001c) Selectively distributed gamma band system of the brain. International Journal of Psychophysiology 39(2-3): 129-135.
  69. Harmony T, FemGndez T, Silva J, Bemal J, DiazComas L, et al. (1996) EEG delta activity: an indicator of attention to internal processing during performance of mental tasks. International Journal of Psychophysiology 24(1-2): 161-171.
  70. Robinson DL (1999) The technical, neurological and psychological significance of `alpha’, `delta’ and `theta’ waves confounded in EEG evoked potentials: a study of peak latencies. Clinical Neurophysiology 110(8): 1427-1434.
  71. Klimesch W, Doppelmayr M, Rohm D, Pollhuber D, Stadler W (2000) Simultaneous desynchronization and synchronization of different alpha responses in the human electroencephalograph: a neglected paradox? Neuroscience Letters 284(1-2): 97-100.
  72. Klimesch W (1999) EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Research & Brain Research Review 29(2-3): 169-195.
  73. Klimesch W, Doppelmayr M, Th Pachinger, Ripper B (1997) Brain oscillations and human memory: EEG correlates in the upper alpha and theta band. Neuroscience Letters 238(1-2): 9-12.
  74. Klimesch W, Schimke H, Schwaiger J (1994) Episodic and semantic memory: an analysis in the EEG theta and alpha band. EEG & Clinical Neurophysiology 91(6): 428-441.
  75. Rohm D, Klimesch W, Haider H, Doppelmayr M (2001) The role of theta and alpha oscillations in language comprehesion in the human electroencephalogram. Neuroscience Letters 310(2-3): 137-140.
  76. Muthukumaraswamy SD, Johnson BW (2004) Primary motor cortex activation during action observation revealed by wavelet analysis of the EEG & Clinical Neurophysiology 115(8): 1760-1766.
  77. Olufsen MS, Whittington MA, Camperi M, Kopell N (2003) New Roles for the Gamma Rhythm: Population Tuning and Preprocessing for the Beta Rhythm. Journal of Computational Neuroscience 14(1): 33-54.
  78. Babiloni C, Vecchio F, Cappa S, Pasqualetti P, Rossi S, et al. (2006) Functional frontoparietal connectivity during encoding and retrieval processes follows HERA model. A high-resolution study 68(4): 203-212.
  79. Babiloni C, Babiloni F, Carducci F, Cappa SF, Cincotti F, et al. (2004) Human cortical rhythms during visual delayed choice reaction time tasks: A high-resolution EEG study on normal aging. Behavioural. Brain Research 153(1): 261-271.
  80. Bressler SR (1990) The gamma wave: a cortical information carrier? Trends in Neurosciences 13(5): 161-162.
  81. Engel AK, Singer W(2001) Temporal binding and the neural correlates of sensory awareness. Trends in Cognitive Neurosciences 5(1): 16-25.
  82. Herrmann CS, Munk MH, Engel AK (2004) Cognitive functions of gammaband activity: memory match and utilization. Trends Cognitive Science 8(8): 347-355.
  83. Llinas R, Ribary U (1993) Coherent 40 Hz oscillation characterizes dream state in humans. Proceedings of National Academy of Science, USA 90(5): 2078-2081.
  84. TIFAC-DFS Project Report (2008) - Technology Information Forecasting & Assessment Council -Directorate of Forensic Sciences Report on Normative Data for Brain Electrical Activation Profiling.
  85. Mukundan CR (2008) Brain Electrical Oscillations Signature Profiling for Crime Investigation. In V Veeraraghavan (Eds.), Handbook of Forensic Psychology, Selective & Scientific Books. New Delhi 123-146.
  86. Mukundan CR (2007a) Brain Signature Profiling for Crime Detection. In: Krian Rao, Indira Jai Prakas, Srinivasan K (Eds.), Mindscapes: Global Perspectives on Psychology in Mental Health. NIMHANS Publication pp. 282-297.
  87. Mukundan CR (2007b) Brain Experience: Neuroexperiential Perspectives of Brain-Mind. Atlantic Publishers, New Delhi, India.
  88. Mukundan CR (2015) Brain at Work: Neuroexperiential Perspectives, Atlantic Publishers, New Delhi.
  89. Mukundan CR, Kacker P (2018a) Molding emotion while cognitively processing physical & virtual realities. EC Neurology 10(5): 354-366.
  90. Mukundan CR, Kacker P (2018b) Emotional Arousal - the Driving Force of Life. Journal of Psychology & Clinical Psychiatry 9(3): 1-12.
  91. Mukundan CR, Sumit S, Chetan SM (2018c) Brain Electrical Oscillations Signature Profiling (BEOS) for Measuring the Process of Remembrance, EC Neurology 8(6): 217-230.
  92. Mukundan CR (2017a) Emotion -The Driving Force, Red Shine Publication, Ahmedabad.
  93. Moscovitch M (1992) Memory and working with memory: A component process model based on modules and central systems. Journal of Cognitive Neuroscience 4(3): 257-267.
  94. Moscovitch M (1994) Memory and working with memory: Evaluation of a component process model and comparisons with other models. In DL Schacter and E Tulving (Eds.), Memory Systems. MIT Bradford Press, Cambridge 269-310.
  95. Mukundan CR (1986b) Middle latency components of evoked potential responses in schizophrenics. Biological Psychiatry 21(11): 10971100.
  96. Mukundan CR, Gonzalvez CJ, Rao SL, Deepa M, Veena E (1989) Changes in the amplitude spectrum of fast EEG frequencies in cognitive processing. Pharmacopsychoecologia 2: 4956.
  97. Mukudnan CR, Narayana Reddy, Hegde AS, Jayathi Shanakr (1990) Effects of long term recovery on the middle latency components of evoked potential responses in head injury patients. Pharmacopsychoecologia 2: 4956.
  98. Mukundan CR (1995) Central electrophysiological paradigms in Psychiatry. In Khanna S, Channabasavanna SM & Keshavan MS (Eds) Mehtods in Biological Psychiatry Research. Tata-McGraw Hill, Bombay pp. 151-171.
  99. Mukundan CR, Rohrbaugh J (1998) NIMHANS-NIAAA (NIH) collaborative project report on Psychophysiological and Neuropsychological correlates of recovery from alcoholism. NIAAA (NIH).
  100. Mukundan CR, Ramachandra S, Singh S, Sharma M, Kamaraj C (1999) Brain mechanisms of hypnosis: P300 studies. Indian Journal of Clinical Psychology 26(1): 13-23.
  101. Vishal KP, Mukundan CR (2017b) Brain Electrical Oscillation Signature Profiling (BEOS). International Journal of Computers in Clinical Practice, International Journal of Computers in Clinical Practice 2(1): 1-23.
  102. Mukundan CR (2016a) Neurocognitive Processing Steps during Remembrance. J Psychology & Clinical Psychiatry 6(6): 1-4.
  103. Mukundan CR (2016b) Assigning Meaning to Emotional Arousal. International Journal of Indian Psychology 3(4): 11-33.
  104. Mukundan CR (2016c) Emotional Experience and Expressions. International Journal of Indian Psychology 3(3): 1-28.
  105. Mukundan CR (2016d) Emotion - Arousal and Control. International Journal of Indian Psychology 3(2): 1-20.
  106. Puranik DA, Joseph SK, Daundkar BB, Garad MV (2009) Brain Signature profiling in India. It’s status as an aid in investigation and as corroborative evidence - as seen from judgments. Proceedings of XX All India Forensic Science Conference, Jaipur pp. 815-822.
  107. Schürmann M, Basar E (2001) Functional aspects of alpha oscillations in the EEG. International Journal of Psychophysiology 39(2-3): 151- 158.

Online Submission System

Drag and drop files here


Browse Files
( For multiple files submission, zip them in a single file to submit. For file zipping software Download )